Content uploaded by David Wright
Author content
All content in this area was uploaded by David Wright on Jan 07, 2024
Content may be subject to copyright.
Available via license: CC BY
Content may be subject to copyright.
TYPE Original Research
PUBLISHED 05 January 2024
DOI 10.3389/fearc.2023.1250871
OPEN ACCESS
EDITED BY
Sjoerd Kluiving,
VU Amsterdam, Netherlands
REVIEWED BY
David Kaniewski,
Université Toulouse III - Paul Sabatier, France
Harald Stollhofen,
Friedrich-Alexander-Universität
Erlangen-Nürnberg, Germany
*CORRESPONDENCE
David K. Wright
david.wright@iakh.uio.no
Jessica C. Thompson
jessica.thompson@yale.edu
RECEIVED 30 June 2023
ACCEPTED 05 December 2023
PUBLISHED 05 January 2024
CITATION
Wright DK, Ivory SJ, Birk JJ, Choi J-H, Davies B,
Fiedler S, Davis J, Kaliba P and Thompson JC
(2024) Palaeoenvironmental data indicate late
quaternary anthropogenic impacts on
vegetation and landscapes in Mzimba, northern
Malawi. Front. Environ. Archaeol. 2:1250871.
doi: 10.3389/fearc.2023.1250871
COPYRIGHT
©2024 Wright, Ivory, Birk, Choi, Davies, Fiedler,
Davis, Kaliba and Thompson. This is an
open-access article distributed under the terms
of the Creative Commons Attribution License
(CC BY). The use, distribution or reproduction
in other forums is permitted, provided the
original author(s) and the copyright owner(s)
are credited and that the original publication in
this journal is cited, in accordance with
accepted academic practice. No use,
distribution or reproduction is permitted which
does not comply with these terms.
Palaeoenvironmental data
indicate late quaternary
anthropogenic impacts on
vegetation and landscapes in
Mzimba, northern Malawi
David K. Wright 1*, Sarah J. Ivory 2, Jago J. Birk 3,4,
Jeong-Heon Choi 5, Benjamin Davies 6, Sabine Fiedler 3,
Jacob Davis7, Potiphar Kaliba 8and
Jessica C. Thompson 9,10,11*
1Department of Archaeology, Conservation, and History, University of Oslo, Oslo, Norway, 2Department
of Geosciences, Earth and Environmental Systems Institute (EESI), Penn State University, University Park,
PA, United States, 3Institute of Geography, Johannes Gutenberg-University, Mainz, Germany, 4Institute
of Geography, Georg-August-Universität Göttingen, Göttingen, Germany, 5Research Center for
Geochronology and Isotope Analysis, Korea Basic Science Institute, Ochang, Chungbuk, Republic of
Korea, 6Environmental Studies Program, Tufts University, Medford, MA, United States, 7Yale University,
New Haven, CT, United States, 8Malawi Department of Museums and Monuments, Lilongwe, Malawi,
9Department of Anthropology, Yale University, New Haven, CT, United States, 10Yale Peabody Museum,
Yale University, New Haven, CT, United States, 11Institute of Human Origins, School of Human Evolution
and Social Change, Arizona State University, Tempe, AZ, United States
Landscapes are formed by long-term interactions between the underlying geology
and climatic, edaphic and biotic factors, including human activity. The Kasitu Valley
in the Mzimba District of northern Malawi includes the Kasitu River and its adjacent
floodplains and uplands, and it has been a location of sustained human occupation
since at least 16 thousand years ago (ka) based on archaeological excavations
from rockshelters. We trace the changing ecology and geomorphology of the
region through soil stable isotopes (δ13C, δ15N), microcharcoal and fossil pollen
analysed from alluvial terraces dated by Optically Stimulated Luminescence, and
wetland auger cores and archaeological sites dated by radiocarbon. Our results
suggest that the region was primarily covered in mosaic forest at ca. 22.5 ka. Middle
and Late Holocene samples (6.0–0.5 ka) show an increasingly open, herbaceous
landscape over time with an inflection toward more abundant C4 vegetation after
2 ka. Significant upland erosion and terrace formation is also evidenced since 2
ka alongside high concentrations of microcharcoal, suggesting more intensive
use of fire. Faecal biomarkers simultaneously indicate higher numbers of humans
living adjacent to the archaeological site of Hora 1, which may be indicative of an
overall population increase associated with the arrival of Iron Age agropastoralists.
More recently, the introduction of exogenous commercial taxa such as Pinus sp.
are correlated with regional aorestation in our proxy record. These results show
increasing stepwise human impacts on the local environment, with deforestation
and maintenance of open landscapes correlated with the regional introduction
and intensification of agriculture during the Late Holocene.
KEYWORDS
African Iron Age, erosion, stable isotopes of carbon and nitrogen, organic biomarkers,
pollen analysis, archaeoecology, Optically Stimulated Luminescence, human landscape
interactions
Frontiers in Environmental Archaeology 01 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
1 Introduction
There is no question that humans have radically changed
the complexion of all spheres of Earth’s environment. Many
scientists have proposed that the significant, irreversible effects
of anthropogenesis (human-induced landscape formation) began
with the introduction and adoption of formal agricultural
techniques in the Holocene (Ellis, 2011;Ruddiman, 2013;
Ruddiman et al., 2015). However, there is growing awareness
that hunter-gatherers exert significant impacts on ecological
systems, and therefore anthropogenesis may extend deeper into
the Pleistocene (Boivin, 2016;Roberts et al., 2017;Boivin and
Crowther, 2021;Snitker, 2022). In particular, the use of fire (Bird,
2008;Pinter et al., 2011) and extirpation of megafauna (Braje
and Erlandson, 2013;van Der Kaars et al., 2017) altered the
natural environment in favor of one that was produced by and
for human subsistence pursuits. Land use in northern Malawi, as
in other rural landscapes in Africa, is predominately agricultural
and the ecology of the region has been adapted for that purpose.
However, there are many intermediary steps between an ecological
system fully adapted to hunting and gathering to one that is fully
adapted to farming. Here, we adopt a landscape archaeological
approach to study the ecological impacts of climate and human
activity on vegetation structure and geomorphology from the
Late Pleistocene to Late Holocene of a perennial river valley
system in northern Malawi, southern-central Africa. We examine
the evolving relationships between human land use and climatic
conditions at different points in time and evidence for ecological
impacts such as erosion and vegetation change.
The East African Rift System (EARS) and adjacent areas
have long been known to be “hotspots” of human occupation
because of the topographic variability resulting in precipitation
and temperature gradients that are ideal for species adapted for
environmental variability such as our own (Potts, 1998). After the
emergence of Homo sapiens, genetic and linguistic evidence show
that as the continent with the longest record of human occupation,
it is also the most genetically and linguistically diverse (Beltrame
et al., 2016;Vicente and Schlebusch, 2020;Fan, 2023). These long
legacies of human innovation, migration, and information sharing
have resulted in a variety of landscape management systems that
can be examined in a range of environmental settings. Today,
this is evidenced by the myriad subsistence practices that are
documented across the continent (Garrity et al., 2012), but the
roots of these systems extend deep into prehistory and have
significantly impacted the formation of present-day ecological
systems (Stephens, 2019;Ellis, 2021;Wright, 2022).
Significant questions remain about when and at what scale
anthropogenic effects manifested as permanent components of
ecosystem functionality in many parts of the world. In northern
Malawi, archaeological, geomorphic, and lake core data show that
within the last ∼85 ka, vegetation changes that followed climate-
driven variation were modified by the effects of anthropogenic
burning (Thompson et al., 2021). By the terminal Pleistocene,
human-influenced landscapes and environments were therefore
already well-established through the behaviour of hunter-gatherers,
who were then displaced by food producers that migrated into the
region by at least 1.7 ka (Juwayeyi, 2011). Along with agriculture
and pastoralism, extractive technologies such as pottery production
and ironworking would have represented very different modes of
land use, and potentially different scales and forms of impacts
on environments. Additional migrations into Malawi, documented
through archaeology, oral history, and written history, continued
throughout the last ca. 0.5 thousand years (kyr) and resulted in new
patterns of land use and ecological succession (Thompson, 1981;
Juwayeyi, 2020). Increasingly from the mid-1700s, the influence of
external economic interests affected patterns of human movement,
trade, and resource extraction, particularly ivory and enslaved
people (Morris, 2006;Dussubieux et al., 2023). Today, the country
is one of the most populous in Africa, and ∼56% of the total
land is used for agriculture (Li et al., 2017). However, there is
little information about the point at which farming technologies
transformed the environment through erosion, ecological turnover,
and/or establishment of burning ecologies.
Here, we present the results of a combined archaeological-
palaeoecological research program from north-central Malawi in
which there are human burials dating to at least 16 thousand
years ago (ka) (Lipson et al., 2022), although direct evidence for
human habitation outside the rockshelters is nearly absent. We
seek to identify evidence for ecological “tipping points” (Lenton,
2013;Tylianakis and Coux, 2014;Brovkin et al., 2021) in the
past through the study of micro-scale palaeoecological indicators
from the landscapes surrounding these archaeological sites. The
application of palaeoecological techniques from upland swamps
(called dambos locally) has opened new possibilities to understand
landscape formation processes dating to the same periods of
human occupation. By coring, recovering, dating and analysing
faecal biomarkers, pollen and light stable isotopes from soil, and
studying geomorphic processes on the riverbanks from locations
surrounding the rockshelters, we provide insights about the degree
of anthropic influence on the formation of the landscape over time.
2 Background to the research area
The study region (Figure 1) is located in the humid sub-
tropical climate (Cwa) of south-central Africa (Kottek et al.,
2006). The Mzimba District lies on the southern end of the
Intertropical Convergence Zone, a pressure meridian extending
across the tropics that migrates on an annual basis following the
zone of maximum insolation. This creates a strongly bimodal
precipitation gradient in this region with high precipitation
during the austral summer (December–March) and almost no
precipitation during the austral winter (June–September). The
annual average precipitation from 1961 to 1990 was 903 mm/yr
with an austral winter precipitation averaging <1 mm/month and
an austral summer precipitation ranging between 164 and 230
mm/month (NOAA, 2022).
The Lake Malawi region has been subject to climate fluctuations
in concert with orbital changes throughout the Quaternary,
however, as most of the palaeoenvironmental information comes
from drill cores in Lake Malawi, the catchment scale landscape
response is not well known. Precipitation reconstructions are
regional and suggest climate patterns were driven by a combination
of Northern Hemisphere high latitude forcing and local insolation
forcing from the late Pleistocene to Holocene (Konecky et al., 2011;
Chevalier and Chase, 2015). Landscape formation was, however,
Frontiers in Environmental Archaeology 02 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
FIGURE 1
Location of the study area in northern Malawi. Land cover categories derived from the Global Land Cover Characterization (GLCC) version 1 (USGS,
2018a). Hillshade background produced from GTOPO30 global 1-km digital raster data (USGS, 2018b).
patchy in nature across southern-central Africa. For example, an
εNd study of clays from the Zambezi River, which lies over 500 km
south of the Mzimba region, shows relatively high discharge during
MIS2 relative to MIS3; however, the lowest discharge in the record
occurs between 15 and 7 ka (van der Lubbe et al., 2016). On
the other hand, studies of lignin phenols, n-alkanes, and pollen
from a lake core in the northern Lake Malawi basin indicate tree
cover from 17 to 13.6 ka and 7.7 to 2 ka, suggesting overall wetter
conditions than in the intervening time periods (Castañeda et al.,
2009;Ivory et al., 2012). These data correspond to stable isotope
values analysed from herbivores from the archaeological site of
Makwe, eastern Zambia, which show C3 (woodland) conditions
throughout the Holocene followed by C4 (grassy) conditions after
2 ka (Robinson and Rowan, 2017). Similarly, δDn-C31 alkanes
from the Zambezi catchment (Schefuß et al., 2011) indicate a
regional climatic condition of drier, more open landscapes in the
Late Holocene compared to the Middle Holocene. Overall, growing
impacts of deforestation and increased warming are reflected in
the organic geochemistry of Lake Malawi over the last 700 years
(Castañeda et al., 2011), which accords with regional studies such
as in the Zambezi catchment, demonstrating the persistence of
more open grassland settings, likely as a result of human land use
and fire patterns (Burrough and Willis, 2015). Overall, the patterns
observed in the proxy record are spatially heterogeneous but show
increasing influences of humans over time that overprint orbitally
driven climate cycles.
The research area is situated in the Irumide terrane to the west
of the EARS in uplands comprised of Precambrian to Palaeozoic
biotite and hornblende rich schists and gneisses to the east, grading
to unconsolidated Tertiary and younger sediments to the west
and into Zambia (Hopkins, 1973). Residual alluvial and colluvial
deposits are found at distal margins of talus slopes that form in
response to normal faulting and uplift in the valleys or inselberg
outcrops. Sand-rich fluvial terraces draining uplands primarily to
the east are found along the margins of the Kasitu River and
subordinate drainages and incise older, residual landforms.
Soils in the study area are primarily geogenic and are classified
in the Food and Agriculture Organization’s World Reference Base
for Soil Resources as Rhodic Lixisols and Lixic Ferralsols with
the river valley alluvial classified as Ferralic Endogleyic Cambisols
(IUSS Working Group WRB, 2015). Lixisols [sometimes called
“latosols” and equivalent to Ustalfs in the United States Department
of Agriculture (USDA) soil taxonomy; Soil Survey Staff, 1999]
generally formed under wetter conditions than present and have
been subject to clay elluviation via translocation of fine mineral
fraction from the upper to lower aspect of the solum (Ebelhar
et al., 2008). Ferralsols (sometimes called “laterites” or “latosols”
and equivalent to Oxisols in the USDA soil taxonomy) have high
Frontiers in Environmental Archaeology 03 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
amounts of kaolinite and iron, aluminum and titanium oxides (Paz
et al., 2008). Cambisols (Inceptisols in the USDA soil taxonomy)
are poorly developed soils, which, in this setting, have indistinct
reddish subsoils forming in alluvium (Chesworth et al., 2008).
Overall, the project area is located in a region with patchy suitability
for agricultural production, with river valleys hosting the units of
land requiring the least intensive dry season efforts at maintaining
crops (Li et al., 2017).
The vegetation of the study area is marked by woodlands,
grasslands and seasonally flooded grassland swales called dambos
characteristic of the Sudano-Zambezian region (Werger and
Coetzee, 1978). Dambos are typically vegetated with Loudetia
simplex, which flourishes on the clayey soils that build up with
annual inundation (Kindt et al., 2014). Surrounding dambos,
the natural vegetation of the Mzimba District is comprised of
Brachystegia and Julbernardia miombo woodland with grassier
occurrences on the Mbelwa Plains to the west (Jackson, 1968).
Miombo woodlands are distributed extensively across southern
Africa where long dry seasons predominate and include mixed
closed and open canopy settings with shallow soils (Frost, 1996).
Pollen traps set in the early 1980s on the Nyika Plateau, located
∼100 km north of the study region, collected high abundances
of herbaceous pollen taxa including Poaceae, Cyperaceae and
Apiaceae along with arboreal pollen taxa such as Olea,Juniperus,
and Podocarpus, indicating the modern configuration of high-
elevation grasslands above ∼2000 m above mean sea le vel (AMSL)
with pockets of forest retained between hillslopes (Meadows,
1984b). Pollen from peat cores in dambos in the Nyika at the bases
of these slopes show that these characteristics were a feature of the
region for at least the last 5 kyr, and potentially throughout the
Holocene (Meadows, 1984a).
The study area of the Kasitu Valley and adjacent Viphya
Uplands ranges from ∼1350 to 1750 m AMSL, and as is
characteristic of this physiographic region, there is a strong mix
of trees (most of which follow a C3 photosynthetic pathway)
and grasses (C4 photosynthetic pathway). The degree of openness
is influenced by overall rainfall, its seasonal distribution, soil
characteristics, and slope aspect (north-facing slopes in the
southern hemisphere receive more sunlight, promoting vegetation
that can tolerate warmer and/or more xeric conditions). Once more
open woodlands are established, they may be maintained through
soil compaction that reduces water infiltration and promotes
erosion, creating vegetation-landscape feedback loops (Campbell
et al., 1995).
Fire also plays an important role in these landscapes
of maintaining open vegetation structure. A local study of
Butyrospermum paradoxum suggests that the evolutionary
pathways to fire-dependent germination in the region extend deep
into the past and may indicate a long-term relationship between
anthropogenic burning and vegetation patterning (Jackson,
1974). Currently, the oldest evidence for human intervention
in vegetation character comes from charcoal and pollen records
from two deep cores in Lake Malawi, MAL05-2A (near Karonga)
and MAL05-1B/1C (near Nkhata Bay), corresponding to changes
observed in adjacent archaeological sites entrained within alluvial
fans that formed within the last ∼100 kyr (Thompson et al.,
2021). By ca. 85 ka, overall wetter conditions in the basin were
no longer associated with extensive Afromontane forests, and
fire-tolerant taxa had become more common. However, there is
less information about local-scale connections between climate,
environment, and human behaviour. The terminal Pleistocene
and Holocene are not well-studied in the MAL05-1B/1C core that
produced records of pollen and charcoal extending beyond 600 ka
(Ivory, 2018), but the M96 core from Lake Masoko in southern
Tanzania, −300 km northwest of our study area (Garcin et al.,
2007), and the MAL05-2A core from Lake Malawi, ∼150 km to the
northeast (Ivory et al., 2012), offer basin-scale information about
changes in vegetation in northern Malawi during this time. Both
cores show an increased seasonal dry forest in the Holocene, with a
transition between ca. 14.5 and 11.8 ka toward higher proportions
of grassy ground cover at the expense of Afro-montane tree
taxa. This is supported by an increase in herbaceous pollen at a
comparable depth in the M86-18P core from near Nkhata Bay,
∼70 km east of our study area (DeBusk and George, 1998).
Charcoal records from Lake Malawi are not sampled at a fine
enough resolution to examine changes in burning regime within
the last ca. 18 kyr, the period covering the transition out of the
Last Glacial Maximum (LGM), through the terminal Pleistocene,
and across the Holocene. Charcoal from Lake Masoko, in southern
Tanzania, shows increases in regional fire emissions starting around
ca. 1.8 ka, with more input from local fires by ca. 1.5 ka (Thevenon
et al., 2003). Between 1.1 – 0.6 ka, a reduction in evidence for fire
activity corresponds to a reduction in available fuel load, resulting
in vegetation that has potentially been shaped through a series of
interactions between climate and human activity (Vincens et al.,
2003).
Here, we provide local-scale datasets derived from the late
Quaternary terraces of the Kasitu River and a series of dambos
that provide environmental context for archaeological sites that
span over 16 kyr. In the Kasitu Valley today, vegetation is
strongly influenced by economic activities such as agriculture
and charcoal production. By providing finely resolved local
records of environmental and geomorphic change, we demonstrate
the antiquity, scale, and consequences of climate and human
impacts across four key transitions: (1) LGM to terminal
Pleistocene; (2) terminal Pleistocene to Holocene; (3) foraging
to food production and (4) globalisation of commerce with the
African interior.
3 Project description and data
collection
3.1 Malawi Ancient Lifeways and Peoples
Project
The Malawi Ancient Lifeways and Peoples Project (MALAPP)
began in 2016 with survey and new excavations at Hora 1
rockshelter (HOR-1, 1470m AMSL), where two adult human
burials were recovered in 1950 (Clark, 1956), and directly dated
to ca. 8–9 ka (Skoglund et al., 2017;Lipson et al., 2022).
MALAPP excavations in 2019 recovered two infant burials, dated
stratigraphically to ca. 14–16 ka (Lipson et al., 2022). All four
individuals produced ancient DNA that contributed to discovery
of ancient population structure that emerged at the end of the
terminal Pleistocene (Skoglund et al., 2017;Lipson et al., 2022).
Frontiers in Environmental Archaeology 04 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
The total sample of ancient individuals from northern Malawi (n
=8) further show that the spread of farmers with western African
ancestry into the region during the Late Holocene resulted in
genetic replacement of local hunter-gatherer populations (Lipson
et al., 2022). The broad context of human occupation in the
terminal Pleistocene and Holocene are primarily found at the
sites of HOR-1 (ca. >16–8 ka), and three other sites excavated
by MALAPP: Hora 5 (HOR-5, 1503 m AMSL, ca. 5–2.6 ka),
Kadawonda 1 (KAD-1, 1709 m AMSL, ca. 3.8–1 ka) and Mazinga
1 (MAZ-1, 1401 m AMSL, ca. >9.5–0 ka) (Figure 2). All sites have a
small amount of historical and Iron Age material in the uppermost
∼10 cm (e.g., Miller et al., 2021;Dussubieux et al., 2023).
MALAPP has prioritised the recovery of ecological datasets
to better connect human-environmental processes, but on-site
records represent discontinuous blocks of time. To that end,
reconnaissance for more continuous and fine-grained sequences of
environmental change has been conducted in parallel to the on-
site archaeological work since 2017. This work involved collection
of soils and sediments from specific geomorphic contexts for the
purpose of recovering and identifying stable isotopes of carbon and
nitrogen, coprostanol (an organic molecule associated primarily
with human faeces) and fossil pollen. We used two primary
methods: (1) scraping, drawing profiles and collecting sediments
in 100 mL Whirlpaks from excavated or exposed test units on
Kasitu River terraces; and (2) utilising a percussion auger to
collect polythene cores in 30-cm increments from floodplain and
dambo (upland wetland) environments. Following the collection
of percussion augers, the cores were opened, documented and
sampled at the field laboratory of the M’Mbelwa Farm Institute near
Lunjika Mission, Malawi. Sediments were then air dried prior to
sealing and exporting to the United States, Norway and Germany
for analysis.
Locations for auger testing were selected based on the
identification of upland swales that were feasible to test and
provided spatial context to understand ecological conditions
at different distances to known archaeological rockshelter
sites. We documented four sedimentologic profiles (sampling
three redundantly in 2017 and 2018) and extracted seven
percussion augers. Of the percussion auger samples, four were
sampled for environmental proxies (fossil pollen, soil stable
isotopes, biomarkers). An eighth percussion auger (AU8) was
attempted, but the bucket attachment broke, after which a
sediment pit (Pit 8) was excavated to retrieve samples for
environmental reconstruction.
Locations of ecological proxy collection points were situated in
two primary contexts: (1) the Kasitu River valley from sand-rich
alluvial terraces dating from 34.6 to 0.5 ka. (2) Three dambo upland
swale locations with clay-dominant sediments at different distances
to the archaeological site of HOR-1. AU7 is situated on the eastern
slope of Mount Hora (700 m from the site under excavation).
AU8 (Pit 8) is located 4km west of Mount Hora in an adjacent
drainage catchment to HOR-1. This unit is capped by ∼50 cm of
coarse sands, under which clay-rich dambo sediments predominate
with the basal 20 cm comprised of sandy loam alluvium. AU3 is
located 11.5 km northwest of Mount Hora in a catchment that is not
directly connected or adjacent to HOR-1. The purpose of the latter
set of samples will be to evaluate land cover changes associated with
different scales of human settlement.
3.2 Analytical methods
3.2.1 Geomorphology, pedology, and
sedimentology
Depositional context was first assessed from satellite images,
followed by site visits and documentation of exposed or extracted
profiles. In the case of terraces along the Kasitu and tributaries,
sediment grain sizes and sedimentary structures were noted
to infer past fluvial depositional patterns. Soil formation was
documented to infer periods of landform stability and weathering
features (e.g., redox processes, laterisation) that reflect ground
cover and hydrologic conditions. Complete descriptions of the
sediment and soil characteristics of the terrace profiles and
auger cores sensu Schoeneberger et al. (2012) are found in the
Supplementary material.
For auger tests, sediments and soils were documented in
the field lab after splitting the 30-cm PVC extraction sleeves
lengthwise into two halves, undertaking careful documentation
of the sediment grain sizes and soil formation features using a
hand lens and dental picks, and removing 50–100 g samples from
geologically representative locations within the cores believed to
be able to reflect changing environmental conditions over the
depositional period. Once the cores were split on the laboratory
table, samples for stable isotope and organic biomarker analyses
were arbitrarily (but systematically) extracted in 2–3-cm thick
units from the left side of the core. Between samples, utensils
were scrubbed vigorously with sand after which they were washed
with clean water and left to air dry in a closed room to
avoid contamination. In Oslo, the samples were homogenised
together prior to undertaking their respective analytical protocols
in Uppsala, Oslo and Mainz (see below). Samples for pollen
extraction were removed from the right side of the core, packed
into Whirlpaks, and sent to the Ivory Paleoecology Laboratory at
the Pennsylvania State University. Utensils were washed with soap
and water and air dried in a closed room after every sample.
3.2.2 Dating
Determination of ages of sediments and soils from the
study locations was undertaken using both radiocarbon ages of
organic material or charcoal from the core samples and Optically
Stimulated Luminescence (OSL) dating of quartz grains from the
terraces. Samples for accelerator mass spectrometry radiocarbon
dating were carefully selected using clean dental picks and wrapped
in aluminum foil either in the field lab or at the Archaeochemistry
Lab of the University of Oslo. Samples from the augers were
submitted to the Radiocarbon Laboratory at Uppsala University
and have been corrected for isotopic fractionation using the 2020
Southern Hemisphere calibration curve (Hogg et al., 2020). Age-
depth models were developed using the “rbacon” package (Blaauw
and Christen, 2011) in the R statistical computing environment
(v.4.20, R Core Team, 2023), with maximum modelled depths
corresponding to the depth of the lowest sample in each sequence
(AU3 =67 cm; AU7 =77 cm; AU8 =146 cm).
We collected OSL samples in light-free, 30-cm carbonized steel
tubes from the cleaned sidewalls of terrace exposures. The tubes
were wrapped in duct tape and transported to the Luminescence
Laboratory of the Korea Basic Science Institute in Ochang,
Frontiers in Environmental Archaeology 05 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
FIGURE 2
The Mzimba project area showing archaeological sites and sampling locations. Image created in QGIS 3.22 with ASTER Global Digital Elevation Model
(v3) background downloaded from: https://earthexplorer.usgs.gov/. Overlay ESRI panchromatic image obtained from the HCMGIS QGIS plugin.
South Korea, where the sediments were removed and prepared
for analysis under low-wavelength light. Grain sizes of 50–180 µm
were isolated by density separation, etched with hydrofluoric acid
and subjected to Single Aliquot Regeneration of small aliquots
(several hundred grains) mounted to 3 mm disks (Bøtter-Jensen
et al., 2000;Murray and Wintle, 2003). The calculation of an
equivalent dose (De) involved first measuring discharged radiation
(Gy) in a photomultiplier tube after shooting a beam of blue-
LED light at irradiated aliquots in a Risø reader (Model TL/OSL-
DA-20) fitted with a 90Sr/90Y beta radiation source. Samples
were then bleached, irradiated, heated and stimulated again
with infrared-LED (to remove potential contaminating effects
of feldspar inclusions) after which blue-LED stimulation was
performed for 40s at 150◦C. Dose rates (Dr) were determined
after calculating secular equilibrium of the sediments using low-
level, high-resolution gamma spectroscopy (Liritzis et al., 2013), a
cosmic ray dose contribution (Prescott and Hutton, 1994) and the
degree of radiation attenuation based on the average water content
of the samples over the burial lifetime. For further information,
the methods for sample analysis accord with those studied from
the nearby Karonga region and published in the Supplementary
material of Thompson et al. (2021).
3.2.3 Soil stable isotopes
Soil stable isotopes were used to broadly examine the evidence
for anthropogenic inputs into sediments (δ15N) and relative ratios
of forest and grass cover (δ13C) at the sampled locations. Soil
nitrogen isotope ratios in non-disturbed ecosystems are generally
inversely correlated with rainfall and temperature, and can thus
be used as a general index of aridity (Ambrose, 1991). Plant and
soil δ15N values are also consistently higher in anthropogenic
sediments (Commisso and Nelson, 2006), particularly during the
decomposition of soil organic matter (Natelhoffer and Fry, 1988;
Högberg, 1997).
Carbon isotopes in soil are used to identify plant biomass at
sampled locations. Carbon isotopes (δ13C) can be isolated directly
from bulk soil matter, reflecting changes in plant spectra based
on photosynthetic pathways (C3, C4, CAM) and CO2production
(Cerling et al., 1989;Ruiz Pessenda et al., 2009). Such datasets
demonstrate relative concentrations of tree (C3) vs. grass (C4)
cover (e.g., Srivastava, 2001;West et al., 2006;Ruiz Pessenda
et al., 2009) and ability of the soils to store CO2(Bowling et al.,
2008;Breecker et al., 2010). In the tropics, C3 plants are generally
comprised of trees and leafy dicots and C4 plants tend to be
grasses (including sorghum, millets, Digitaria sp., African rice and
savannah grasses).
Preparation of samples followed protocols outlined in Wright
et al. (2019) in which sediments for δ13C analysis were pretreated
with 1M HCl for 24 h, dried, and then 25.0 ±0.1 mg were sealed
in tin capsules and loaded into a DeltaV Advantage Stable Isotope
Mass Spectrometer configured with a Flash Elemental Analyzer
(ThermoFisher) for combustion into purified CO2and N2at
the CLimate Interpretation of Plant Tissue lab in Department of
Biosciences at the University of Oslo. Laboratory precisions were
measured between 0.03 and 0.04 per mile (‰) for δ13C using
the NBS19 (1.95‰) and LSVEC (−46.6‰) standards as calibrated
against a δ13CVPDB internal standard. Preparation of samples for
Frontiers in Environmental Archaeology 06 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
δ15N followed the same protocols but were not acidified prior
to extraction. δ15NAIR internal references and quality assurance
standards were calibrated against USGS40 and USGS41, which have
consensus values of −4.52 and 47.57‰, respectively. Precisions
were determined to be 0.1‰ for the sample runs of δ15N. Statistical
treatment of the data include standard ellipses calculated to the 2-
σ(95%) level and a loess fit using the “lowess” function and were
performed in ggplot2 in RStudio 2022.07.1 (Build 554). All data and
code are available at: https://doi.org/10.6084/m9.figshare.23092127.
3.2.4 Organic biomarkers
Faecal stanols are organic molecules produced in the guts of
mammals, most especially humans who produce high amounts
of coprostanol; they can be used to detect relative population
sizes on a landscape level (Bethell et al., 1994;Bull et al., 2002;
Evershed, 2008;Zocatelli et al., 2017). High levels of coprostanol
are also found in the faeces of non-human primates and pigs
(family Suidae), but most data show that coprostanol does not
dominate the biomarker spectrum here as much as in human faeces
(Subbiah et al., 1972;Ausman, 1993;Shah, 2007;Sistiaga, 2015;
Prost, 2017;Zocatelli et al., 2017). Faeces of herbivores contain less
coprostanol than humans but higher amounts of 5β-stigmastanol,
providing opportunities to reconstruct the demography of both
humans and ruminant animal communities (Prost, 2017). Bile
acids are an important companion biomarker to stanols because
they allow a differentiation between primate faeces, the faeces of
pigs and distinct herbivores (Prost, 2017;Zocatelli et al., 2017). n-
Alkanes are found in the epicuticular layer of leaves and can be used
to distinguish litter input from grasses and herbs from broadleaf
trees (Eglinton and Hamilton, 1967;Zech et al., 2010;Bush and
McInerney, 2013).
Faecal biomarkers and n-alkanes were extracted in tandem with
stable isotopes following sample homogenisation. Biomarkers were
extracted by a total lipid extract in a microwave oven after which the
method of Birk (2012) was used for purification and derivatisation
with small modifications. The extract was saponified and the
biomarkers were recovered from the saponification solution by a
sequential lipid-lipid extraction. During this step the bile acids were
separated from the other biomarkers. The bile acids were purified
by solid phase extraction after methylation. Stanols, 15-sterols and
n-alkanes were separated and purified by a solid phase extraction,
which yielded n-alkanes and steroids in different fractions.
Steroids were measured by gas chromatography mass
spectrometry after silylation (GC/MS; 7000D MS connected to a
7890B GC equipped with a DB-5ms Ultra Inert column, Agilent,
Santa Clara, CA, USA) and n-alkanes by gas chromatography
flame ionization (GC-FID; 7890B GC equipped with a HP5
column, Agilent, Santa Clara, CA, USA). Detailed descriptions of
the analytical procedures and data outputs are provided in the
Supplementary material.
3.2.5 Pollen analysis
Fossil pollen and microscopic charcoal analyses of dambos and
terraces were conducted to reconstruct vegetation and regional-
scale fire in the past. All samples were processed using standard
pollen extraction methods, including digestion of silicates by
hydrofluoric acid and removal of organics by acetolysis (Fægri
et al., 1989). Following completion of the 2017 field season,
terrace samples were sent to LacCore Facility at the University
of Minnesota for processing. During the extraction phase, a
contaminated batch of microspheres was added to a single batch
of samples (8). For these samples, it was not possible to calculate
charcoal concentrations, and thus microcharcoal is not presented
for these samples only. For the 2019 season, the auger samples were
processed at Penn State University. These were sieved at 10 microns
to remove clays, and Lycopodium spores were added to calculate
concentrations of pollen and charcoal.
Where possible, over 300 pollen grains were counted per
sample; however, preservation of pollen was particularly poor in
samples from AU8 and AU3-3. For these samples, pollen counts
were significantly lower, ranging from completely sterile to 57
grains. Samples from these augers are interpreted qualitatively.
The record comprised 49 pollen and plant spore taxa and 5
morphotypes of fungal spores (including Sporormiella). Atlases
of pollen morphology were used for identifications (Maley, 1970;
Bonnefille and Riollet, 1980) as well as the African Pollen Database
(https://africanpollendatabase.ipsl.fr). For the terrace samples only,
bisaccate grains of Podocarpus and Pinus were not differentiated,
thus this group is presented as Pinopsida undifferentiated.
This only influences the youngest terrace samples, as Pinus
was introduced to the region in the twentieth century. Pollen
abundances are calculated based on a sum of all pollen and plant
spores excluding broken grains and aquatics (Cyperaceae, Typha).
Pollen diagrams were produced using the “rioja” package (v.1.0–5,
Juggins, 2022) in R (v.4.20, R Core Team, 2023). Terrestrial pollen
taxa are presented as a percentage of all terrestrial plants; aquatic
pollen taxa are presented as percentage of combined terrestrial and
aquatic plants. Cases where values are consistently lower than 5%
include a 5×exaggeration (lighter shading).
Microcharcoal was differentiated into two categories based
on aspect ratios (length/width). Following methods presented in
Miao et al. (2019) and Feakins et al. (2020), particles with higher
aspect ratios (length/width >2.5) have been associated with the
burning of grass or sedge, while those with lower aspect ratios
are associated with burned woody material. All data and code are
available at: https://doi.org/10.6084/m9.figshare.23092127.
4 Results
4.1 Sedimentation
Radiocarbon (Table 1) and OSL (Table 2) ages from the dambo
and terrace sequences, respectively, situate the environmental and
archaeological sequences of the present study to beginning in the
Late Pleistocene and continuing through into the late twenteeth
century CE. Sediment cores extracted from wetland environments
and pits excavated into terraces of the Kasitu River exposed in
secondary drainageways demonstrate relatively slow sedimentation
from the Pleistocene to the Middle Holocene (Figures 3,4). Three
profiles with coverage from this time period with absolute ages
show accumulation rates from 19.0 to 8.6 ka (AU8) of 0.07
mm/yr, 0.09 mm/yr (Kasitu 4, 135cm between 34.6 and 18.8
ka), and 0.25 mm/yr (Kasitu 2, 90 cm between 7.1 and 3.5 ka).
Frontiers in Environmental Archaeology 07 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
TABLE 1 Radiocarbon ages from environmental sampling of the Mzimba District, Malawi.
Lab # MALAPP
code
Corresponding
proxy (Figure 3)
Material δ13C14 C age 2-σcal yr BP
Ua-69522 ISO29 POL31 Fine sandy loam −16.2 15742 ±59 18850–19111
Ua-69523 ISO31 POL33 Clay None 7759 ±124 8223–8984
Ua-69524 ISO33 POL35 Coarse sandy loam −23.7 1794 ±32 766–921
Ua-69525 ISO42 POL36 Clay loam −16.2 101.8 ±0.3∗AD 1958–2000
Ua-69526 ISO45 POL39 Fine sandy clay loam −16.9 792 ±27 657–728
Ua-69527 ISO47 POL41 Silt loam −17.1 1233 ±28 989–1179
Ua-69528 ISO48 POL42 Silt loam −18.1 927 ±28 727–904
Ua-69529 ISO50 POL44 Fine sandy loam −10.5 2388 ±37 2153–2680
Ua-69824 ISO8 POL8 Silt loam −15.3 964 ±29 766–921
Ua-69825 ISO9 POL9 Clay loam −14.8 267 ±29 146–433
Ua-69826 ISO10 POL10 Clay loam −14.6 49 ±29 Suess effect
Ua-69827 ISO11 POL11 Clay loam −16.8 104.0 ±0.4∗AD 1958–1999
Ua-69828 ISO30 POL32 Clay −16.2 9690 ±51 10744–11200
Ua-69829 ISO43 POL37 Clay loam −15.9 149 ±29 Suess effect
∗pMC
Radiocarbon ages calendar corrected for atmospheric production of radiocarbon (Hogg et al., 2020) in OxCal 4.4. Samples Ua-69525 and Ua-69827 were calibrated using the Calib post-bomb
correction curve (http://calib.org/CALIBomb/) and reported in years AD.
However, accumulation rates for sections with absolute ages after
the Middle Holocene are much greater. The Luwelezi profile
(247 cm of deposition between 1.2 and 0.2 ka =2.47 mm/yr)
has multiple inferred periods of landscape stabilisation based on
palaeosol formation, and Kasitu 5 (130 cm of deposition but two
indistinguishable ages within the 1-σstatistical error of 0.4 ±0.02
ka, has two inferred periods of landscape stabilisation. Sediment
cores with radiocarbon ages (AU3, AU7) also show accumulation
rates >1 mm/yr after 1 ka. The historical deposition and erosion
rate is also supported through conversations with local farmers
and lifelong residents; for example, one informant described a time
about ca. 2010–2015 when he could see large cobbles at the base
of the Luwelezi stream. Today, this tributary to the Kasitu is a flat-
bottomed and silty perennial waterway. Examples of recent erosion
are clearly observable in road and water cuts, including some with
pottery sherds buried under more than 1 m of sediment.
4.2 Stable isotopes
Light stable isotopes (δ13C, δ15 N) extracted from sediments
and soils show an inverse correlation between 13C and
15N (Supplementary Table 1;Figure 5). Uneven coverage of
radiometric ages and variable preservation of nitrogen in the
sediments obfuscates time-transgressive correlations of carbon
and nitrogen isotopes. However, plotting of 13C values using
stratigraphic inference with ages shows increasingly heavier
isotopic composition over time with a relatively unchanging
value of ∼-22‰ spanning from ca. 8–2.5 ka and rapid isotopic
enrichment thereafter relative to the preceding ca. 20 kyr
(Figure 6).
4.3 Biomarkers
AU7 was analysed quantitatively for n-alkanes, faecal bile acids
and faecal stanols as well as related steroids (Tables 3,4;Figure 7).
Long-chain n-alkanes (C26–C33) had concentrations of ≤40
µg/gTOC (Table 3), the faecal 5β-stanols had concentrations ≤4
µg/gTOC, the precursor substances of these biomarkers, 15-sterols,
had concentrations ≤141 µg/gTOC and 5α-stanols, the reduction
products of 15-sterols, which are formed in the environment
outside of the gut of mammals, had concentrations ≤38 µg/gTOC
(Table 4 and Supplementary Table 4). Bile acids had concentrations
≤14 µg/gTOC (Supplementary Table 5).
The ratio of the concentrations of long-chain n-alkanes with
odd numbers of carbon vs. long-chain n-alkanes with even numbers
of carbon [odd-over-even predominance; OEP; (C27 +C29 +
C31 +C33]/[C26 +C28 +C30 +C32)] can be used to identify
higher plant biomass inputs into sediments as well as determining
the degree of degradation of n-alkanes (Eglinton and Hamilton,
1967;Hoefs et al., 2002;Zech and Glaser, 2008;Buggle et al.,
2010;Bush and McInerney, 2013). Ratios ≥4 are characteristic
for n-alkane inputs from higher biomass plants (Hoefs et al.,
2002;Zech and Glaser, 2008). Only the lowermost sample and the
uppermost sample from AU7 (ISO50 at −80.5cm dating to ca. 2.3
ka and ISO42 at −2.5 cm dating to AD1958-2000) had an OEP
value <4 (Table 3) indicating dominance of aquatic or degraded n-
alkanes. These samples were therefore excluded from the following
consideration of the terrestrial inputs of plant biomass. All other
samples had OEP values ≥6 (Table 3). Chain lengths C27 and
C29 are the dominant chain lengths in broadleaf trees, and chain
lengths C31 and C33 have a high abundance in grasses and other
herbaceous plants (Buggle et al., 2010;Zech et al., 2010;Bush
Frontiers in Environmental Archaeology 08 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
TABLE 2 Optically Stimulated Luminescence ages from environmental context sampling of the Mzimba District, Malawi (Figure 4).
Sample;
Sample loc.
Depth
(cm) §
Water
content∗
(wt. %)
238U
(Bq·kg−1)
226Ra
(Bq·kg−1)
232Th
(Bq·kg−1)
40K
(Bq·kg−1)
Dry
betaa
(Gy·ka−1)
Dry
gammaa
(Gy·ka−1)
Cosmic
rayb
(Gy·ka−1)
Total dose
rate
(Gy·ka−1)
De(Gy) nAgec
(ka)
MAL17–1; Kasitu
1A
75 4 ±1 32.9 ±8.3 26.3 ±0.6 91.5 ±3.1 831 ±14 2.91 ±0.11 1.97 ±0.04 0.22 ±0.02 4.88 ±0.12 11.4 ±0.5 16 2.3 ±0.1
MAL17-2; Kasitu
1A
25 3 ±1 15.9 ±8.2 24.5 ±0.6 91.9 ±3.1 962 ±16 3.17 ±0.12 2.06 ±0.04 0.25 ±0.02 5.30 ±0.12 7.2 ±0.4 16 1.4 ±0.1
MAL17-3; Kasitu 2 155 3 ±1 26.6 ±7.2 30.4 ±0.6 116.9 ±3.6 1068 ±16 3.65 ±0.13 2.50 ±0.04 0.19 ±0.02 6.14 ±0.14 43.5 ±2.0 16 7.1 ±0.4
MAL17-4; Kasitu 2 65 3 ±1 32.0 ±9.5 32.8 ±0.7 141.7 ±4.4 1168 ±19 4.08 ±0.15 2.90 ±0.05 0.23 ±0.02 6.94 ±0.16 24.2 ±1.3 14 3.5 ±0.2
MAL17-6; Kasitu 4 235 2 ±1 43.3 ±7.7 27.9 ±0.6 77.6 ±2.7 479 ±10 2.02 ±0.08 1.54 ±0.03 0.17 ±0.02 3.63 ±0.09 125.7 ±5.9 15 34.6 ±1.8
MAL17–7; Kasitu 4 100 8 ±2 53.1 ±6.0 41.7 ±0.6 114.1 ±3.5 545 ±10 2.51 ±0.09 2.14 ±0.05 0.21 ±0.02 4.45 ±0.11 83.8 ±2.6 11 18.8 ±0.8
MAL17-8; Luwelezi 315 14 ±3 23.5 ±7.8 11.6 ±0.6 78.1 ±2.8 621 ±12 2.20 ±0.09 1.54 ±0.03 0.15 ±0.01 3.34 ±0.11 4.0 ±0.1 15 1.2 ±0.1
MAL17–9; Luwelezi 130 5 ±1 5.9 ±60.6 7.6 ±0.6 43.6 ±2. 767 ±14 2.24 ±0.09 1.20 ±0.02 0.20 ±0.02 3.46 ±0.09 2.3 ±0.3 14 0.7 ±0.1
MAL17–10;
Luwelezi
68 3 ±1 2.4 ±2.4 4.0 ±0.5 20.2 ±1.5 715 ±16 1.91 ±0.07 0.84 ±0.02 0.23 ±0.02 2.89 ±0.08 0.6 ±0.1 12 0.2 ±0.0(1)
MAL17-11; Kasitu 5 190 4 ±1 1.4 ±5.3 14.1 ±0.6 41.6 ±2.1 1054 ±22 2.92 ±0.11 1.44 ±0.03 0.18 ±0.02 4.35 ±0.12 1.6 ±0.1 15 0.4 ±0.0(2)
MAL17-12; Kasitu 5 60 3 ±1 40.2 ±6.5 31.9 ±0.7 122.8 ±4.6 560 ±15 2.49 ±0.10 2.19 ±0.05 0.23 ±0.02 4.76 ±0.11 1.9 ±0.1 12 0.4 ±0.0(2)
§Depths of the samples are the vertical distance from the modern ground surface. ∗Present water contents (±20 % of uncertainty). aData from high-resolution low level gamma spectrometer were converted to infinite matrix dose rates using conversion factors given
in Liritzis et al. (2013). bCosmic ray dose rates were calculated using the equations given by Prescott and Hutton (1994). cCentral age ±1σstandard error. The targeted mineral was quartz with diameters of 90-250µm. Measurement mode: SAR protocol, preheat at
240 oC (samples KT2992, 2995, 2996. 2997, 2998, 2999) or 260oC (samples KT2988, 2989, 2990, 2991, 2993, 2994) for 10 s, multiple grain single aliquots (three 8mm aliquots for each sample).
Frontiers in Environmental Archaeology 09 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
FIGURE 3
Schematic profiles of wetland auger tests from the Mzimba region, Malawi showing sedimentation, soil development, and the locations where
samples were taken from the cores. AU3 and AU7 were extracted in sequences using a percussion auger to access deeper aspects of the landform
until refusal occurred. Sediment and soil classification schemes follow the USDA standards as outlined in Schoeneberger et al. (2012).
and McInerney, 2013). The ratios of the n-alkanes C27 and C29
to the n-alkane C33 are therefore high with an input of litter
originating from deciduous trees and low with an input of biomass
originating from grasses. n-Alkane ratios (C27/C33 =0.2 and
C29/C33 =0.9, Figure 6) indicate a strong decrease in forest
cover from ISO47 at −53 cm (ca. 1 ka) relative to the underlying
(earlier) samples (C27/C33 ≥0.3 and C29/C33 ≥1.1; Figure 7;
Supplementary Table 3).
ISO47 further shows high concentrations of the faecal
biomarkers coprostanol (5β-cholestan-3β-ol; 1.4 µg/gTOC) and
epi-coprostanol (5β-cholestan-3α-ol; 1.3 µg/gTOC), indicative of
the presence of omnivores such as humans, non-human primates or
pigs (Table 4). However, other stanols had also high concentrations
at this depth (Table 4) and background values of faecal biomarkers
were found in soils and sediments where no enhanced deposition
of faeces was assumed (Bethell et al., 1994;Evershed et al., 1997;
Frontiers in Environmental Archaeology 10 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
FIGURE 4
Schematic profiles of alluvial terraces from the Mzimba region, Malawi showing sedimentation, soil development and the locations where samples
were taken from the profiles. Sediment and soil classification schemes follow the USDA standards as outlined in Schoeneberger et al. (2012).
Bull et al., 2001). To correct for these background values, the
amounts of coprostanol and its epimer were related to the amounts
of cholestanol (5α-cholestan-3β-ol), which is the reduction product
of cholesterol (15-sterol) that is mainly formed outside of the
gut of mammals ([coprostanol +epi-coprostanol]/cholestanol,
Bull et al., 2002). This ratio showed high values in ISO47 (0.3)
in relation to the other samples indicative for faeces inputs
(Figure 7). Although coprostanol and its epimer can also be
found in the faeces of herbivores, the more specific biomarkers
for faeces of herbivores are 5β-stigmastanol (5β-stigmastan-3β-
ol) and epi-5β-stigmastanol (5β-stigmastan-3α-ol), which are the
reduction products of phytosterols, due to the high concentrations
of the phytosterols in their diet (Leeming et al., 1996;Tyagi
et al., 2008;Gill et al., 2010;Prost, 2017). The ratio (coprostanol
Frontiers in Environmental Archaeology 11 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
FIGURE 5
Biplot of δ13C (vs. PDB) and δ15 N (vs. AIR) values of soils from the Mzimba region, Malawi. The red dashed line shows an r2value of −0.413 showing
inversely correlated enrichment of isotopic values (P=0.0187, df =30).
FIGURE 6
Time-transgressive loess plot of δ13C (vs. PDB) of soils from the Mzimba region, Malawi with ordination of approximate ages made by stratigraphic
inference relative to absolute ages. The red dotted line shows an r2value of +0.59.
+epi-coprostanol)/(5β-stigmastanol +epi-5β-stigmastanol) was
calculated to differentiate between faeces of omnivores and
herbivores (high values indicate higher inputs of omnivorous
faeces and lower by inputs of herbivorous faeces). This ratio
also had a high value in ISO47 (0.5, Table 4). The bile acid
patterns of AU7 showed a dominance of deoxycholic acid, the
presence of lithocholic acid and the absence of hyodeoxycholic
acid (Supplementary Table 5). Therefore, the omnivorous faeces
were likely derived from primate sources rather than pigs (Tyagi
et al., 2008;Prost, 2017). The more pronounced domination of
coprostanol in the biomarker patterns of human faeces in relation
to non-human primate faeces (Subbiah et al., 1972;Ausman, 1993;
Shah, 2007;Sistiaga, 2015;Prost, 2017;Zocatelli et al., 2017), and
the close proximity of the test site to the Hora 1 archaeological site,
which is densely packed with anthropogenic refuse, suggests that
the faeces derived from omnivores was most likely from humans.
Between −44 cm (ISO46) and −34 cm (ISO45 dating to
0.7 ka), there is an increase in forest cover indicated by
an increase in C27/C33 ratios to 0.4 and C29/C33 to 1.0
(Figure 7). However, alkane ratios in ISO45 were still lower
than in the period before the forest decrease shown in the
lower samples (ISO49). This period of afforestation is succeeded
by an indication of a decrease in forest cover at −26 cm
(ISO44) based on C27/C33 ratios of 0.2 and C29/C33 to 0.4,
coupled with high values of the ratios that are indicative for
omnivorous faeces [(coprostanol +epi-coprostanol)/cholestanol of
0.2 and (coprostanol +epi-coprostanol)/(5β-stigmastanol +epi-
5β-stigmastanol) of 0.3; Figure 7 and Table 4]. The sample above
Frontiers in Environmental Archaeology 12 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
TABLE 3 Quantities of long chain n-alkanes (µg/gTOC ) and odd-over-even predominance [OEP (C27 +C29 +C31 +C33)/(C26 +C28 +C30 +C32)]
from AU7, Mzimba region, Malawi.
Sample
number
Mean
depths
C26 C27 C28 C29 C30 C31 C32 C33 OEP
(cm) (µg/gTOC) (µg/gTOC ) (µg/gTOC) (µg/gTOC ) (µg/gTOC) (µg/gTOC ) (µg/gTOC) (µg/gTOC)
ISO42 2.5 31 26 25 23 14 30 11 37 1
ISO43 15 2 7 2 16 2 20 2 38 9
ISO44 26.25 4 6 3 14 2 15 2 33 6
ISO45 33.75 3 10 3 23 2 19 3 24 7
ISO46 44 4 8 5 31 4 24 2 36 7
ISO47 53 4 8 4 34 3 22 5 39 7
ISO48 58 2 9 3 36 4 26 3 32 9
ISO48 58 2 9 5 37 2 30 <LOQ 29 11
ISO49 69.75 0 7 4 16 4 16 <LOQ 10 6
ISO50 80.5 6 5 5 14 0 13 <LOQ <LOQ 3
LOQ, limit of quantification.
(ISO43) dates to within the last 300 years and shows stability in
grass vs. trees present on the landscape. The penultimate sample
(ISO42) showed high quantities of several steroids but the stanol
ratios did not show especially enhanced input of omnivorous
faeces [(coprostanol +epi-coprostanol)/cholestanol of 0.1 and
(coprostanol +epi-coprostanol)/(5β-stigmastanol +epi-5β-
stigmastanol) of 0.2; Figure 7,Table 4, and Supplementary Table 4].
A full data presentation of the results of biomarker analyses are
found in the Supplementary material.
4.4 Pollen reconstruction
Fossil pollen concentrations were generally high in the auger
samples (6,327 grains/cm3), apart from augers AU3-3 and AU8
(average =447 grains/cm3). AU3-3 was sterile except for a few
poorly preserved pollen grains and will not be discussed in the
results. Within samples where 300 grains counts were achieved,
broken, and/or crumbled grains were generally low (<3.5%;
Figure 8).
AU8 was a core from ∼1360 m AMSL in an open swale
surrounded by woodland about 8 km west of the Kasitu River and
3.75 km west of the HOR-1 site. It is not presently under cultivation.
The oldest samples in this unit are late Pleistocene (ca. 19 ka) and
extend to the late Holocene (1.6 ka). Pollen concentrations were
low in these samples (average =656 grains/cm3); however, pollen
was observed in all samples and as these include some of the oldest
dated samples in our record, we report here the qualitative presence
of key pollen taxa. Overall, these samples were dominated by
Poaceae pollen, while other herbs like Asteraceae were consistently
present. Cyperaceae pollen was generally near the lowest values of
all pollen samples in this interval (mean =22.5%) and tree pollen
presence was sporadic.
AU7 was a core from ∼1425 m ASML in a sparsely wooded
grassy swale about 3.75 km west of the Kasitu River and 0.6 km
southeast of the HOR-1 site. This site is not presently under
agriculture. These samples cover ca. 2.6 kyr of the late Holocene
and were recovered from a dambo wetland that is subject to
slow, seasonal sedimentation. These samples were dominated
throughout by aquatic pollen taxa such as Cyperaceae (mean=
212% relative to the terrestrial pollen sum), in particular Ascolepis
(mean =36%; Cyperaceae family). Of the terrestrial pollen taxa,
Poaceae reached maximum values in a sample dated to 0.8 ka,
then decreased minimally until present. Tree pollen was present
in the pre-modern samples in lower abundances (8%) until an
increase in Podocarpus and Pinus in the most recent two samples
(24%, 5%). Microcharcoal increased from the pre-modern (mean
=11,617 particles/cm3) to the modern samples (mean =106,499
particles/cm3), with charcoal with high aspect ratios indicating a
grassy source dominating.
AU3 was a core from ∼1320 m ASML in a seasonally flooded
grassland about 12 km west of the Kasitu River and 11.5 km
northwest of the HOR-1 site. It is not presently under agriculture
and is surrounded by dense woodland. These samples cover ca. 1
kyr of the Late Holocene and were dominated by aquatic pollen
taxa like Cyperaceae (mean =133% relative to the terrestrial
pollen sum), especially Ascolepis (17%). Of the terrestrial pollen,
Poaceae was generally high but decreased values in the most
recent sample (range =27–46%). Additionally, other herbaceous
pollen taxa were present, including Asteraceae, which also
increased in the most recent sample (range =0–3%). Tree pollen
taxa followed a similar patter to AU7 with lower abundances
characterized in the pre-modern samples by Brachystegia (mean
=6%) until the most recent sample, where Podocarpus and Pinus
dominated (52%, 10%). Microcharcoal increased over an order of
magnitude from the pre-modern (mean =4,947 particles/cm3)
to the modern samples (mean =38,917 particles/cm3),
with charcoal with high aspect ratios indicating a grassy
source dominating.
The terrace samples presented in Figure 8D are a synthesis of
pollen samples taken from profiles Kasitu 2, Kasitu 5, and Luwelezi
terraces and range in age from 8ka to modern. The general patterns
Frontiers in Environmental Archaeology 13 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
TABLE 4 Quantities of stanols (ng/gµg/gTOC) and the ratio (coprostanol +epi-coprostanol)/(5β-stigmastan-3β-ol +5β-stigmastan-3βα-ol) from AU7, Mzimba region, Malawi.
Sample
number
Mean
depths
Coprostanol
(5β-
cholestan-
3β-ol)
epi-Coprostanol
(5β-cholestan-
3α-ol)
5β-Stigmastanol
(5β-stigmastan-
3β-ol)
epi-5β-
Stigmastanol
(5β-stigmastan-
3α-ol)
Cholestanol (5α-
cholestan-3β-ol)
Stigmastanol
(5α-stigmastan-
3β-ol)
(Coprostanol+epi-
coprostanol)/(5β-
stigmastanol+epi-
5β-stigmastanol)
(cm) (µg/gTOC) (µg/gTOC ) (µg/gTOC) (µg/gTOC ) (µg/gTOC) (µg/gTOC )
ISO42 2.5 0.7 0.5 3.9 1.2 8.3 37 0.2
ISO43 15 0.1 0.1 1.6 0.7 6.2 17 0.1
ISO44 26.25 0.1 0.4 1.1 0.5 3.4 17 0.3
ISO45 33.75 0.2 0.2 1.4 0.7 4.5 13 0.2
ISO46 44 0.2 0.3 1.8 1.1 9.7 17 0.2
ISO47 53 1.4 1.3 3.7 1.9 8.0 19 0.5
ISO48 58 0.3 0.4 1.9 1.1 9.4 18 0.2
ISO48 58 0.3 0.4 1.9 1.1 9.5 18 0.2
ISO49 69.75 0.3 0.5 1.6 1.3 12.5 19 0.3
ISO50 80.5 0.5 0.6 1.5 1.7 9.4 18 0.3
in the pollen assemblages shows a dominance of trees, particularly
Pinopsida undifferentiated (20–40%) until the last 2 kyr. Given
that Podocarpus pollen is the only native genus in this class, it is
likely this phase was dominated by Podocarpus. At 2 ka, there was
a notable increase in herbaceous pollen taxa, especially Poaceae
(60%). Finally, in the samples from the last 100 years, there is an
increase in pollen of Pinosopida undifferentiated (55–60%) and
other trees. As the Pinus was introduced within this window and
auger samples observe an increase in this genus, it is likely that
this last increase represents an increase in both gymnosperms in
the last century.
5 Discussion
Our integrated archaeo-ecological investigation of the Mzimba
region of northern Malawi indicates that there are critical ecological
inflection points associated with different human settlement and
subsistence regimes in the past. The stable isotopic composition of
the sites demonstrates a clear inverse correlation between 15N and
13C values. From soils and sediments, more positive 15 N values and
more negative 13C values are indicative of higher concentrations
of leaf litter and/or canopy, which biases the evapotranspiration
of lighter isotopes (14N, 12 C) in the forms of NO2and CO2
(Natelhoffer and Fry, 1988). Overall, the time-transgressive trend
observed from the carbon isotopes studied (δ13C) demonstrate
a stronger tendency toward grassier landscape conditions from
the start of the Holocene (Figure 6) with the caveat that the
sample size is small before the Middle Holocene. However, these
data are supported by the n-alkane data from AU7 (Figure 7)
and pollen (Figure 8), which also show grass/herbaceous-dominant
conditions, particularly within the last ∼2 kyr.
Grass-dominant ecological niches that favour domesticated
animals have been reconstructed across Africa correlating to the
times when animal production is first documented in specific
regions (Phelps et al., 2020). Farming and animal production
are known to leave long legacies within soils on landscapes that
can be measured from nutrient pools for millennia following
site abandonment (Marshall, 2018;Cao et al., 2021;Storozum
et al., 2021). The data from the Mzimba District have similarly
left geochemical traces, supported by pollen data, indicating
that human activities related to the introduction of agriculture
also impacted land cover conditions, despite a lack of direct
macro-archaeological evidence for the introduction of farming
technologies at the sites we were testing. The oldest date for Iron
Age agro-pastoralists in the Kasitu region is ca. 1.6 ka, which
is taken from Munga Hill (Sinclair, 1991), ∼1 km north of the
Luwelezi profile (Robinson, 1982) and is similar to the oldest dates
for food producers in Malawi from the southern part of the country
(Juwayeyi, 2011).
Microarchaeological data indicates changing land cover
conditions in relation to different land use strategies in the later
Iron Age. Faecal biomarkers in the auger test adjacent to the HOR-
1 site show increased input from omnivores during the period we
interpret as representing initial food production at our test location,
dating to around 1 ka. This was sustained until ca. 0.6 ka, when
the n-alkane and pollen results show recovery of forest conditions
and low presence of omnivores (in this case, humans). Omnivore
Frontiers in Environmental Archaeology 14 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
FIGURE 7
Ratios of the n-alkanes C27/C33 and C29/C33 on the left, with high values showing a higher input of biomass of broadleaf trees and low values a
higher input of grasses and other herbaceous plants. Ratio of (coprostanol +epi-coprostanol)/cholestanol with high values characteristic for inputs
of omnivorous faeces (likely from humans) from AU7, Mzimba region, Malawi.
populations then apparently rebounded and then increased further
within the historical period. These patterns may indicate episodic
settlement and land-use strategies in the second half of the Iron
Age, or they may reflect a larger pattern of population decrease.
Charcoal data from this sample in the core shows a slight increase
in particle concentrations and some of the highest proportions of
sedges, suggesting that waterlogged soils may have discouraged
local cultivation and human occupation, while these activities
continued outside the drainage catchment of the swale from which
the core was collected.
The pollen and microcharcoal data are in general agreement
with the other proxies studied, but they also indicate additional
landscape formation processes that are important to the human
ecology of the region. First, Cyperaceae pollen, reflecting wetland
sedges, persisted throughout all periods of study and are evidence
of continuation of seasonal wetland conditions in the studied
locations from the Late Pleistocene to present (or nearly present)
day. Second, increases in Podocarpus and Pinus (tree) taxa in the
last 200 years occurred in the auger samples despite evidence for
increased concentrations of microcharcoal, which is in general
contrast to expected results based on simulated (Keane et al.,
2004;D’Odorico et al., 2006;Phelps et al., 2020) and observed
(Bakker et al., 2013;Marchant et al., 2018;Leunda et al.,
2020) occurrences in ecological research. However, spatially and
taxonomically complex ecological simulations challenge simplistic
fire-driven forest-to-savannah formation models, demonstrating
that fires consume saplings and seedlings that contribute negligibly
to biomass (Hanan, 2008). Therefore, the presence of increased
woody vegetation in combination with increased fire occurrence
in the later phases of landscape formation in the Kasitu Valley
are interpreted as reflecting spatially heterogenous landscape
management processes in which some patches of mature forest
persisted at various points even as portions of the uplands adjacent
to Luwelezi and Kasitu 5 rapidly eroded, presumably as an effect
of forest cover loss. Of the 111 known species of Pinus, none are
endemic to Africa south of the equator and only one species is
recorded in tropical Asia (Price et al., 1998). Therefore, the presence
of pines in Malawi, recorded in the pollen abundances from the
auger samples, is commonly understood to be an introduction
associated with disturbance ecologies within the last 200–300 years
(Richardson, 1998). It is also important to consider that pollen
and microcharcoal are more often wind-borne then other proxies
such as n-alkanes, faecal biomarkers and bulk stable isotopes, which
likely reflect more localised vegetation conditions. Introduced
Pinus stands are currently maintained on the Viphya Plateau
immediately to the east of the Kasitu Valley.
Based on the total available evidence, the most significant
ecological inflection point occurs in the Late Holocene at the time
in which Iron Age agro-pastoralists are archaeologically identified
in the region (Juwayeyi, 1981,1991,2008,2011;Robinson,
1982;Davison, 1991). Although preservation of organic matter
was variable and affects the robustness of the interpretations,
the general indicators of plant and faunal ecologies corroborate
sedimentation values, suggesting that after the introduction of
farming techniques to this region of southern-central Africa, the
landscape became generally more open and discharge from the
uplands, where sediments are more prone to erosion, accelerated.
More recent settlement (dating to within the last 75 years)
shows accelerated modes of spatial heterogeneity with increasing
abundances of Podocarpus pollen, while n-alkane and carbon
isotope values show grassier ecological conditions predominate
relative to samples analysed from the Middle Holocene and earlier.
Archaeological and ethnographic proxy data suggest that
impacts in more recent times have influenced landscape formation
in an accelerating manner. The presence of iron-working sites
outside the rockshelters are not well dated and did not occur
within the lifetimes of most residents of the Mzimba region,
but residents over the age of 60 remember their elders talking
about iron smelting. The bloomeries also appear to not have
been abandoned for long periods of time, with some furnaces
transitioning from nearly complete and standing in 2016 (at the
onset of MALAPP) to a current state of collapse, corroborating
ethnographic accounts. A radiocarbon age analysed from the
inside of a tuyere at the HOR-1 site was determined to be 40
±25 yr BP (cal AD 1816–1956; UGAMS-30619) indicating that
smelting was ongoing into recent times. However, today the most
Frontiers in Environmental Archaeology 15 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
FIGURE 8
Fossil pollen from three sediment cores in the Mzimba region, Malawi. Darker shades inset within taxonomic categories indicate 5×percent value
relative to the lighter shade. Sites included are (A) AU3, (B) AU7, (C) AU8 and (D) aggregated data from Kasitu 2, Kasitu 5, and Luwelezi terraces.
Frontiers in Environmental Archaeology 16 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
obvious local footprints of human environmental influence are
firewood collecting and charcoal production which are supported
by the 13C data, but the faecal biomarker data suggests that
the number of people living (and/or defaecating) in the area is
within or less than the general historical level. Thus, we interpret
the current mosaic grassland/forest interspersed with seasonally
flooded dambos in the Mt. Hora region to be a long-term legacy
landscape with multiple stages of transition overprinted on prior
anthropic states rather than an unprecedented historical ecological
condition. Simultaneously, sedimentation rates even within the
last ca. 0.4 kyr from the Kasitu terraces demonstrate that there
has been another inflection point in erosion, sedimentation, and
vegetation change over the historical period and accelerating into
the present day.
6 Conclusion
Multiproxy biogenic data from the Mzimba region indicate that
the region consisted of mixed woodland/grassland taxa during the
terminal Pleistocene with an increase in woodland in the Early
Holocene. Land cover transitioned to more open conditions by
the Middle Holocene, which accords with increased evidence for
fire, particularly after 3 ka, which is when the genetic replacement
of hunter-gatherer-foragers with Bantu-speaking people ancestrally
connected to modern populations occurs in the archaeological
record (Skoglund et al., 2017;Lipson et al., 2022) and technologies
associated with farming in this region are first documented
(Robinson, 1982). Geomorphic and sedimentologic data from
alluvial terraces support microarchaeological results indicating that
fires and land clearance accelerated by ca. 1.2 ka and induced
significant amounts of erosion of the uplands. Biomarkers prior to
and during this period indicate an increase in human settlement
next to the HOR-1 rockshelter and all proxies studied point to a
transition to a more open, grassier landscape in the Late Holocene.
Finally, afforestation associated with commercial timber farming
of introduced pine species over the last several decades attest to
ongoing anthropogenic impacts.
There is an apparent link between the novel introduction
of farming and associated technologies and ecological changes
exceeding the pace of natural climate variability alone. Our
long human-ecological record supports the hypothesis that
the formation of anthropogenic landscapes is temporally and
conceptually divorced from the Industrial Revolution or other
supposed stratigraphic markers of the Anthropocene, calling into
question the epistemological value of this epoch outside the field
of geochronology (Ruddiman et al.,2015;2020;2018). The data
we present here demonstrate a notable processual connection
between agro-pastoralism, erosion and vegetation change, which
has left a clear footprint on the modern landscape. Although
lacking in the global synchronicity of expression that comes from
an extra-terrestrial meteor impact, the spread and intensification
of farming technologies globally after 3 ka (Stephens, 2019;
Morrison, 2021) is akin to other stratigraphic boundary events.
For example, the Late Ordovician to Silurian transition or Early
to Middle Pleistocene in the palaeontologic records are far more
coarsely resolved, but also lack precise synchronicity and unfold
correlatively and diachronically - just as global human impacts
on landscape formation due to intensive hunting and gathering,
land domestication and globalisation processes can be ascertained
today (Edgeworth et al., 2015;Williams et al., 2022). The results
presented in this study underscore the complexity, heterogeneity,
and overprinting of human impacts across landscapes with deep
settlement histories.
Data availability statement
The data and code presented in the article have been uploaded
to the Figshare repository and can be accessed using the following
doi: 10.6084/m9.figshare.23092127.
Author contributions
DW, JT, SI, and JB contributed to conception and design of
the study. JT, JD, DW, and PK conducted fieldwork and collected
samples. Samples were analysed by DW, SI, JB, and J-HC. DW
and BD organized the database and performed the statistical
analyses. DW and JT wrote the first draft of the manuscript.
DW, JT, SI, JB, and J-HC wrote sections of the manuscript. All
authors contributed to manuscript revision, read, and approved the
submitted version.
Acknowledgments
The Malawi Department of Museums and Monuments
provided permission for the research. Land access was facilitated
by Paramount Chief Inkosi ya Makosi M’Mbelwa V, Inkosi
Chindi, Inkosi Kampingo Sibande, Inkosana Thomas Nkosi,
Mzimba Heritage Association, and the generosity of the Mzimba
community. Sample recovery and preparation in the field was
facilitated by participation from officials from the Malawi
government, the Mzimba community, and students from Malawian
and international universities. JT received funding for fieldwork
and sample analysis from the Wenner-Gren Foundation (Grant
no. 9437), the National Geographic Society, Yale University, and
Hyde Family Foundations. DW received funding from a start-up
grant from the University of Oslo for stable isotope and biomarker
extractions and/or analytical costs. SI received funding from the
National Science Foundation Division of Environmental Biology
Grant #2049982. Stefanie Klassen provided technical assistance
with the biomarker analyses at the University of Mainz. Vendela
Bergin Hansen prepared the stable isotope samples for study and
William Hagopian at the UiO CLIPT lab analysed the samples
using EA-IRMS. The authors would like to thank editor Sjoerd
Kluiving and reviewers David Kaniewski and Harald Stollhofen for
their comments and critiques, which improved the quality of the
final manuscript.
Conflict of interest
The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could be
construed as a potential conflict of interest.
Frontiers in Environmental Archaeology 17 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
The author DW declared that they were an editorial board
member of Frontiers, at the time of submission. This had no impact
on the peer review process and the final decision.
Publisher’s note
All claims expressed in this article are solely those of the
authors and do not necessarily represent those of their affiliated
organizations, or those of the publisher, the editors and the
reviewers. Any product that may be evaluated in this article, or
claim that may be made by its manufacturer, is not guaranteed or
endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found
online at: https://www.frontiersin.org/articles/10.3389/fearc.2023.
1250871/full#supplementary-material
References
Ambrose, S. H. (1991). Effects of diet, climate and physiology on nitrogen
isotope abundances in terrestrial foodwebs. J. Archaeol. Sci. 18, 293–317.
doi: 10.1016/0305-4403(91)90067-Y
Ausman, L. M. (1993). Fecal bile acids and neutral sterols in the cotton-
top tamarin (Saguinus oedipus). Comp. Biochem. Physiol. 105, 655–663.
doi: 10.1016/0305-0491(93)90102-B
Bakker, J., Paulissen, E., Kaniewski, D., Poblome, J., De Laet, V., Verstraeten,
G., et al. (2013). Climate, people, fire and vegetation: new insights into vegetation
dynamics in the Eastern Mediterranean since the 1st century AD. Climate Past 9,
57–87. doi: 10.5194/cp-9-57-2013
Beltrame, M. H., Rubel, M. A., and Tishkoff, S. A. (2016). Inferences of African
evolutionary history from genomic data. Curr. Opin. Genetic. Dev. 41, 159–166.
doi: 10.1016/j.gde.2016.10.002
Bethell, P. H., Goad, L. J., Evershed, R. P., and Ottaway, J. (1994). The study of
molecular markers of human activity: the use of coprostanol in the soil as an indicator
of human faecal material. J. Archaeol. Sci. 21, 619–632. doi: 10.1006/jasc.1994.1061
Bird, R. B, Bird, D. W, Codding, B. F, Parker, C. H, Jones, J. H. (2008).
The “fire stick farming” hypothesis: Australian Aboriginal foraging strategies,
biodiversity, and anthropogenic fire mosaics. Proc. Nat. Acad. Sci. 105, 14796–14801.
doi: 10.1073/pnas.0804757105
Birk, J. J, Dippold, M, Wiesenberg, G. L. B, Glaser, B. (2012). Combined
quantification of faecal sterols, stanols, stanones and bile acids in soils and terrestrial
sediments by gas chromatography–mass spectrometry. J. Chromatogr. A 1242, 1–10.
doi: 10.1016/j.chroma.2012.04.027
Blaauw, M., and Christen, J. A. (2011). Flexible paleoclimate age-depth
models using an autoregressive gamma process. Bayesian Anal. 6, 457–474.
doi: 10.1214/ba/1339616472
Boivin, N., and Crowther, A. (2021). Mobilizing the past to shape a better
Anthropocene. Nat. Ecol. Evol. 5, 273–284. doi: 10.1038/s41559-020-01361-4
Boivin, N. L, Zeder, M. A, Fuller, D. Q, Crowther, A, Larson, G, Erlandson, J. M,
et al. (2016). Ecological consequences of human niche construction: examining long-
term anthropogenic shaping of global species distributions. Proc. Nat. Acad. Sci. U. S.
A. 113, 6388–6396. doi: 10.1073/pnas.1525200113
Bonnefille, R., and Riollet, G. (1980). Pollens des Savanes d’Afrique Orientale. Paris:
CNRS Editions.
Bøtter-Jensen, L., Solongo, S., Murray, A. S., Banerjee, D., and Jungner, H.
(2000). Using the OSL single-aliquot regenerative-dose protocol with quartz extracted
from building materials in retrospective dosimetry. Rad. Measur. 32, 841–845.
doi: 10.1016/S1350-4487(99)00278-4
Bowling, D. R., Pataki, D. E., and Randerson, J. T. (2008). Carbon isotopes
in terrestrial ecosystem pools and CO2fluxes. New Phytol. 178, 24–40.
doi: 10.1111/j.1469-8137.2007.02342.x
Braje, T. J., and Erlandson, J. M. (2013). Human acceleration of animal and plant
extinctions: a late Pleistocene, Holocene, and Anthropocene continuum. Anthropocene
4, 14–23. doi: 10.1016/j.ancene.2013.08.003
Breecker, D. O., Sharp, Z. D., and McFadden, L. D. (2010). Atmospheric
CO2 concentrations during ancient greenhouse climates were similar to those
predicted for AD 2100. Proc. Nat. Acad. Sci. 107, 576–580. doi: 10.1073/pnas.
0902323106
Brovkin, V., Brook, E., Williams, J. W., Bathiany, S., Lenton, T. M., Barton,
M., et al. (2021). Past abrupt changes, tipping points and cascading impacts
in the Earth system. Nat. Geosci. 14, 550–558. doi: 10.1038/s41561-021-0
0790-5
Buggle, B., Wiesenberg, G. L. B., and Glaser,B. (2010). Is there a possibility to correct
fossil n-alkane data for postsedimentary alteration effects? Appl. Geochem. 25, 947–957.
doi: 10.1016/j.apgeochem.2010.04.003
Bull, I. D., Evershed, R. P., and Betancourt, P. P. (2001). An organic geochemical
investigation of the practice of manuring at a Minoan site on Pseira Island, Crete.
Geoarchaeology 16, 223–242. doi: 10.1002/1520-6548(200102)16:2andlt;223::AID-
GEA1002andgt;3.0.CO;2-7
Bull, I. D., Lockheart, M. J., Elhmmali, M. M., Roberts, D. J., and Evershed, R. P.
(2002). The origin of faeces by means of biomarker detection. Environ. Int. 27, 647–654.
doi: 10.1016/S0160-4120(01)00124-6
Burrough, S. L., and Willis, K. J. (2015). Ecosystem resilience to late-Holocene
climate change in the Upper Zambezi Valley. The Holocene 25, 1811–1828.
doi: 10.1177/0959683615591355
Bush, R. T., and McInerney, F. A. (2013). Leaf wax n-alkane distributions in and
across modern plants: implications for paleoecology and chemotaxonomy. Geochimica
et Cosmochimica Acta 117, 161–179. doi: 10.1016/j.gca.2013.04.016
Campbell, B. M., Cunliffe, R. N., and Gambiza, J. (1995). Vegetation structure
and small-scale pattern in Miombo Woodland, Marondera, Zimbabwe. Bothalia 25,
121–126. doi: 10.4102/abc.v25i1.721
Cao, B., Yu, L., Li, X., Chen, M., Li, X., Hao, P., et al. (2021). A 1 km global
cropland dataset from 10 000 BCE to 2100 CE. Earth Syst. Sci. Data 13, 5403–5421.
doi: 10.5194/essd-13-5403-2021
Castañeda, I. S., Werne, J. P., Johnson, T. C., and Filley, T. R. (2009).
Late Quaternary vegetation history of southeast Africa: the molecular isotopic
record from Lake Malawi. Palaeogeogr. Palaeoclimatol. Palaeoecol. 275, 100–112.
doi: 10.1016/j.palaeo.2009.02.008
Castañeda, I. S., Werne, J. P., Johnson, T. C., and Powers, L. A. (2011). Organic
geochemical records from Lake Malawi (East Africa) of the last 700years, part
II: biomarker evidence for recent changes in primary productivity. Palaeogeogr.
Palaeoclimatol. Palaeoecol. 303, 140–154. doi: 10.1016/j.palaeo.2010.01.006
Cerling, T. E., Quade, J., Wang, Y., and Bowman, J. R. (1989). Carbon isotopes
in soils and palaeosols as ecology and palaeoecology indicators. Nature 341, 138–139.
doi: 10.1038/341138a0
Chesworth, W., Camps Arbestain, M., Macías, F., and Spaargaren, O. (2008).
“Cambisols,” in Encyclopedia of Soil Science, ed W. Chesworth (Dordrecht: Springer
Netherlands), 80–81.
Chevalier, M., and Chase, B. M. (2015). Southeast African records reveal a
coherent shift from high- to low-latitude forcing mechanisms along the east African
margin across last glacial–interglacial transition. Quarter. Sci. Rev. 125, 117–130.
doi: 10.1016/j.quascirev.2015.07.009
Clark, J. D. (1956). Prehistory in Nyasaland. Nyasaland J. 9, 92–119.
Commisso, R. G., and Nelson, D. E. (2006). Modern plant δ15N values reflect
ancient human activity. J. Archaeol. Sci. 33, 1167–1176. doi: 10.1016/j.jas.2005.12.005
Davison, S. (1991). Namaso: a newly-defined cultural entity of the late first
millennium AD, and its place in the iron age sequence of southern Malawi. Azania
Archaeol. Res. Africa 26, 13–62. doi: 10.1080/00672709109511424
DeBusk, J., and George, H. (1998). A 37,500-year pollen record from lake malawi
and implications for the biogeography of afromontane forests. J. Biogeogr. 25, 479–500.
doi: 10.1046/j.1365-2699.1998.2530479.x
D’Odorico, P., Laio, F., and Ridolfi, L. (2006). A probabilistic analysis of fire-induced
tree-grass coexistence in savannas. The Am. Natur. 167, E79–E87. doi: 10.1086/500617
Dussubieux, L., Welling, M., and Kaliba, P. (2023). European trade in Malawi: the
glass bead evidence. Afr. Archaeol. Rev. 40, 377–396. doi: 10.1007/s10437-022-09486-6
Ebelhar, S. A., Chesworth, W., Paris, Q., et al. (2008). “Lixisols,” Encyclopedia of Soil
Science, ed W. Chesworth (Dordrecht: Springer Netherlands), 439–440.
Edgeworth, M., deB Richter, D., Waters, C., Haff, P., Neal, C., and Price, S. J.
(2015). Diachronous beginnings of the anthropocene: the lower bounding surface of
anthropogenic deposits. The Anthr. Rev. 2, 33–58. doi: 10.1177/2053019614565394
Frontiers in Environmental Archaeology 18 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
Eglinton, G., and Hamilton, R. J. (1967). Leaf epicuticular waxes. Science 156,
1322–1335. doi: 10.1126/science.156.3780.1322
Ellis, E. C, Gauthier, N, Goldewijk, K. K, Bird, R. B, Boivin, N, Díaz, S, et al. (2021).
People have shaped most of terrestrial nature for at least 12,000 years. Proc. Nat. Acad.
Sci. 118, e2023483118. doi: 10.1073/pnas.2023483118
Ellis, E. C. (2011). Anthropogenic transformation of the terrestrial
biosphere. Philos. Trans. Royal Soc. Mathematic. Phys. Eng. Sci. 369, 1010–1035.
doi: 10.1098/rsta.2010.0331
Evershed, R. P. (2008). Organic residue analysis in archaeology:
the archaeological biomarker revolution. Archaeometry 50, 895–924.
doi: 10.1111/j.1475-4754.2008.00446.x
Evershed, R. P., Bethell, P. H., Reynolds, P. J., and Walsh, N. J. (1997). 5β-
stigmastanol and related 5β-stanols as biomarkers of manuring: analysis of modern
experimental material and assessment of the archaeological potential. J. Archaeol. Sci.
24, 485–495. doi: 10.1006/jasc.1996.0132
Fægri, K., Kaland, P. E., and Krzywinski, K. (1989). Textbook of Pollen Analysis.
Chichester: John Wiley and Sons Ltd.
Fan, S, Spence, J. P, Feng, Y, Hansen, M. E. B, Terhorst, J, Beltrame, M. H,
et al. (2023). Whole-genome sequencing reveals a complex African population
demographic history and signatures of local adaptation. Cell 186, 923–939.e914.
doi: 10.1016/j.cell.2023.01.042
Feakins, S. J., Liddy, H. M., Tauxe, L., Galy, V., Feng, X., Tierney, J. E., et al.
(2020). Miocene C4 grassland expansion as recorded by the Indus Fan. Paleoceanogr.
Paleoclimatol. 35, e2020PA003856. doi: 10.1029/2020PA003856
Frost, P. (1996). “The ecology of miombo woodlands,” in The Miombo in Transition:
Woodlands and Welfare in Africa, ed B. Campbell (Bogor: Centre for Internartional
Forestry Research), 11–57.
Garcin, Y., Vincens, A., Williamson, D., Buchet, G., and Guiot, J. (2007). Abrupt
resumption of the African Monsoon at the Younger Dryas—Holocene climatic
transition. Q. Sci. Rev. 26, 690–704. doi: 10.1016/j.quascirev.2006.10.014
Garrity, D., Dixon, J., and Boffa, J. M. (2012). Understanding African Farming
Systems: Science and Policy Implications. Sydney: Australian International Food
Security Centre.
Gill, F. L., Dewhurst, R. J., Dungait, J. A., Evershed, R. P., Ives, L., Li,
C. S., et al. (2010). Archaeol – a biomarker for foregut fermentation in
modern and ancient herbivorous mammals? Organic Geochem. 41, 467–472.
doi: 10.1016/j.orggeochem.2010.02.001
Hanan, N. P, Sea, W. B, Dangelmayr, G, Govender, N. (2008). Do fires in savannas
consume woody biomass? A comment on approaches to modeling savanna dynamics.
The Am. Nat. 171, 851–856. doi: 10.1086/587527
Hoefs, M. J. L., Rijpstra, W. I. C., and Sinninghe Damsté, J. S. (2002). The
influence of oxic degradation on the sedimentary biomarker record I: evidence from
Madeira Abyssal Plain turbidites. Geochimica et Cosmochimica Acta 66, 2719–2735.
doi: 10.1016/S0016-7037(02)00864-5
Högberg, P. (1997). Tansley review No. 95 - 15N natural abundance in soil-plant
systems. New Phytol. 137, 179–203. doi: 10.1046/j.1469-8137.1997.00808.x
Hogg, A. G., Heaton, T. J., Hua, Q., Palmer, J. G., Turney, C. S., Southon, J., et al.
(2020). SHCal20 southern hemisphere calibration, 0–55,000 years cal BP. Radiocarbon
62, 759–778. doi: 10.1017/RDC.2020.59
Hopkins, D. A. S. (1973). The Geology of the Rumphi–Nkhata Bay Area.
Bulletin 38/39. Zomba: Ministry of Agriculture and Natural Resources, Geological
Survey Department.
IUSS Working Group WRB (2015) World Reference Base for Soil Resources 2014,
Update 2015. International soil Classification System for Naming Soils and Creating
Legends for Soil Maps. Rome: World Soil Resources Reports No. 106. Food and
Agriculture Organization of the United Nations.
Ivory, S. J, Lézine, A-M, Vincens, A, Cohen, A. S. (2018). Waxing and waning
of forests: late quaternary biogeography of the Lake Malawi region, southeast Africa.
Global Change Biol. 24, 2939–2951. doi: 10.1111/gcb.14150
Ivory, S. J., Lézine, A. M., Vincens, A., and Cohen, A. S. (2012). Effect of aridity
and rainfall seasonality on vegetation in the southern tropics of East Africa during the
Pleistocene/Holocene transition. Q. Res. 77, 77–86. doi: 10.1016/j.yqres.2011.11.005
Jackson, G. (1968). The vegetation of Malawi. II. The Brachystegia woodlands X.
Brachystegia with evergreen understory. The Soc. Malawi J. 21, 11–19.
Jackson, G. (1974). Cryptogeal germination and other seedling adaptions to the
burning of vegetation in savanna regions: the origin of the pyrophytic habit. New
Phytol. 73, 771–780. doi: 10.1111/j.1469-8137.1974.tb01305.x
Juggins, S. (2022). Rioja: Analysis of Quaternary Science Data. Available online
at: https://cran.r-project.org/package=rioja (accessed June 29, 2023).
Juwayeyi, Y. M. (1981). The Later Prehistory of Southern Malawi: A Contribution to
the Study of Technology and Economy During the Later Stone Age andIron Age Periods.
Berkeley, CA: University of California, Berkeley.
Juwayeyi, Y. M. (1991). Late iron age burial practices in the southern Lake Malawi
area. The South Afr. Archaeol. Bullet. 46, 25–33. doi: 10.2307/3889010
Juwayeyi, Y. M. (2008). “Human and animal interaction on the shire
highlands, Malawi: the evidence from malowa rockshelter,” in Animals and People:
Archaeozoological Papers in Honour of Ina Plug, eds S. Badenhorst, P. Mitchell, and
J. C. Driver (Oxford: Archaeopress).
Juwayeyi, Y. M. (2011). Ecological pressure and the transition from foraging
to agricultural lifestyle on the Shire Highlands, Malawi. Hum. Ecol. 39, 361–371.
doi: 10.1007/s10745-011-9391-1
Juwayeyi, Y. M. (2020). Archaeology and Oral Tradition in Malawi: Origins and
Early History of the Chewa. Suffolk: Boydell and Brewer.
Keane, R. E., Cary, G. J., Davies, I. D., Flannigan, M. D., Gardner, R. H., Lavorel, S.,
et al. (2004). A classification of landscape fire succession models: spatial simulations of
fire and vegetation dynamics. Ecol. Modell. 179, 3–27. doi: 10.1016/j.ecolmodel.2004.
03.015
Kindt, R., Lillesø, J. P. B., van Breugel, P., et al. (2014). Potential Natural
Vegetation of Eastern Africa (Ethiopia, Kenya, Malawi, Rwanda, Tanzania, Uganda and
Zambia). Copenhagen: Department of Geoscience and Natural Resource Management,
University of Copenhagen.
Konecky, B. L., Russell, J. M., Johnson, T. C., Brown, E. T., Berke, M. A.,
Werne, J. P., et al. (2011). Atmospheric circulation patterns during late Pleistocene
climate changes at Lake Malawi, Africa. Earth Planetar. Sci. Lett. 312, 318–326.
doi: 10.1016/j.epsl.2011.10.020
Kottek, M., Grieser, J., Beck, C., Rudolf, B., and Rubel, F. (2006). World map of
the Köppen-Geiger climate classification updated. Meteorol. Zeitschrift 15, 259–263.
doi: 10.1127/0941-2948/2006/0130
Leeming, R., Ball, A., Ashbolt, N., and Nichols, P. (1996). Using faecal sterols from
humans and animals to distinguish faecal pollution in receiving waters. Water Res. 30,
2893–2900. doi: 10.1016/S0043-1354(96)00011-5
Lenton, T. M. (2013). Environmental tipping points. Ann. Rev. Environ. Resourc.
38, 1–29. doi: 10.1146/annurev-environ-102511-084654
Leunda, M., Gil-Romera, G., Daniau, A. L., Benito, B. M., and González-Sampériz,
P. (2020). Holocene fire and vegetation dynamics in the Central Pyrenees (Spain).
CATENA 188, 104411. doi: 10.1016/j.catena.2019.104411
Li, G., Messina, J. P., Peter, B. G., and Snapp, S. S. (2017). Mapping land suitability
for agriculture in Malawi. Land Degr. Dev. 28, 2001–2016. doi: 10.1002/ldr.2723
Lipson, M., Sawchuk, E. A., Thompson, J. C., Oppenheimer, J., Tryon, C. A., and
Ranhorn, K. L. (2022). Ancient DNA and deep population structure in sub-Saharan
African foragers. Nature 603, 290–296. doi: 10.1038/s41586-022-04430-9
Liritzis, I., Stamoulis, K., Papachristodoulou, C., and Ioannides, K. (2013). A
re-evaluation of radiation dose-rate conversion factors. Mediterranean Archaeol.
Archaeometr. 13, 1–15. Available online at: https://www.maajournal.com/index.php/
maa/article/view/1012
Maley, J. (1970). Contributions à l’étude du Bassin tchadien Atlas de pollens du
Tchad. Bullet. Nat. Plant. België 40, 29–48. doi: 10.2307/3667543
Marchant, R., Richer, S., Boles, O., Capitani, C., Courtney-Mustaphi, C. J., and
Lane, P. (2018). Drivers and trajectories of land cover change in East Africa: human
and environmental interactions from 6000years ago to present. Earth-Sci. Rev. 12, 10.
doi: 10.1016/j.earscirev.2017.12.010
Marshall, F, Reid, R. E. B, Goldstein, S, Storozum, M, Wreschnig, A, Hu, L, et al.
(2018). Ancient herders enriched and restructured African grasslands. Nature 561,
387–390. doi: 10.1038/s41586-018-0456-9
Meadows, M. E. (1984a). Late quaternary vegetation history of the Nyika Plateau,
Malawi. J. Biogeogr.phy 11, 209–222. doi: 10.2307/2844640
Meadows, M. E. (1984b). Contemporary pollen spectra and vegetation of the Nyika
Plateau, Malawi. J. Biogeogr. 11, 223–233. doi: 10.2307/2844641
Miao, Y., Wu, F., Warny, S., Fang, X., Lu, H., and Fu, B. (2019). Miocene fire
intensification linked to continuous aridification on the Tibetan Plateau. Geology 47,
303–307. doi: 10.1130/G45720.1
Miller, J. M., Keller, H. M., Heckel, C., Kaliba, P. M., and Thompson, J. C. (2021).
Approaches to land snail shell bead manufacture in the Early Holocene of Malawi.
Archaeol. Anthropol. Sci. 13, 37. doi: 10.1007/s12520-021-01274-8
Morris, B. (2006). The ivory trade and chiefdoms in pre-colonial Malawi. The Soc.
Malawi J. 59, 6–23. Available online at: https://www.jstor.org/stable/29779210
Morrison, K. D, Hammer, E, Boles, O, Madella, M, Whitehouse, N, Gaillard, M-
J, et al. (2021). Mapping past human land use using archaeological data: a new
classification for global land use synthesis and data harmonization. PLoS ONE 16,
e0246662. doi: 10.1371/journal.pone.0246662
Murray, A. S., and Wintle, A. G. (2003). The single aliquot regenerative dose
protocol: Potential for improvements in reliability. Rad. Measur. 37, 377–381.
doi: 10.1016/S1350-4487(03)00053-2
Natelhoffer, K. J., and Fry, B. (1988). Controls on natural nitrogen-15 and carbon-
13 abundances in forest soil organic matter. Soil Sci. Soc. Am. J. 52, 1633–1640.
doi: 10.2136/sssaj1988.03615995005200060024x
NOAA (2022). Global Climate Normals, Mzimba Station Record 67485. Asheville,
North Carolina, USA.
Frontiers in Environmental Archaeology 19 frontiersin.org
Wright et al. 10.3389/fearc.2023.1250871
Paz, C. G., Rodríguez, T. T., Behan-Pelletier, V. M., et al. (2008). “Ferralsols,”
in Encyclopedia of Soil Science, ed W. Chesworth (Dordrecht: Springer
Netherlands), 237–240.
Phelps, L. N., Broennimann, O., Manning, K., Timpson, A., Jousse, H., Mariethoz,
G., et al. (2020). Reconstructing the climatic niche breadth of land use for
animal production during the African Holocene. Glob. Ecol. Biogeogr. 29, 127–147.
doi: 10.1111/geb.13015
Pinter, N., Fiedel, S., and Keeley, J. E. (2011). Fire and vegetation shifts in
the Americas at the vanguard of Paleoindian migration. Q. Sci. Rev. 30, 269–272.
doi: 10.1016/j.quascirev.2010.12.010
Potts, R. (1998). Environmental hypotheses of hominin evolution. Yearbook Phys.
Anthropol. 41, 93–136. doi: 10.1002/(SICI)1096-8644(1998)107:27+andlt;93::AID-
AJPA5andgt;3.0.CO;2-X
Prescott, J. R., and Hutton, J. T. (1994). Cosmic ray contributions to dose rates
for luminescence and ESR dating: large depths and long-term time variations. Rad.
Measur. 23, 497–500. doi: 10.1016/1350-4487(94)90086-8
Price, R. A., Liston, A., and Strauss, S. H. (1998). “Phylogeny and systematics
of Pinus,” in Ecology and Biogeography of Pinus, eds D. M. Richardson (Cambridge:
Cambridge University Press),49–68.
Prost, K, Birk, J. J, Lehndorff, E, Gerlach, R, Amelung, W. (2017). Steroid biomarkers
revisited – Improved source identification of faecal remains in archaeological soil
material. PLoS ONE 12, e0164882. doi: 10.1371/journal.pone.0164882
R Core Team (2023). R: A Language and Environment for Statistical Computing.
Vienna: R Foundation for Statistical Computing.
Richardson, D. M. (1998). Forestry trees as invasive aliens. Conserv. Biol. 12, 18–26.
doi: 10.1111/j.1523-1739.1998.96392.x
Roberts, P., Hunt, C., Arroyo-Kalin, M., Evans, D., and Boivin, N.. (2017). The deep
human prehistory of global tropical forests and its relevance for modern conservation.
Nat. Plants 3, 17093. doi: 10.1038/nplants.2017.93
Robinson, J. R., and Rowan, J. (2017). Holocene paleoenvironmental change in
southeastern Africa (Makwe Rockshelter, Zambia): implications for the spread of
pastoralism. Q. Sci. Rev. 156, 57–68. doi: 10.1016/j.quascirev.2016.11.030
Robinson, K. S. R. (1982). Iron Age of Northern Malawi: An Archaeological
Reconnaissance. Lilongwe: Malawi Govt. Ministry of Education and Culture.
Ruddiman, W. F. (2013). The Anthropocene. Ann. Rev. Earth Planetar. Sci. 41,
45–68. doi: 10.1146/annurev-earth-050212-123944
Ruddiman, W. F. (2018). Three flaws in defining a formal ‘Anthropocene’. Progr.
Phys. Geogr. Earth Environ. 42, 451–461. doi: 10.1177/0309133318783142
Ruddiman, W. F., Ellis, E. C., Kaplan, J. O., and Fuller, D. Q. (2015). Defining the
epoch we live in. Science 348, 38–39. doi: 10.1126/science.aaa7297
Ruddiman, W. F., He, F., Vavrus, S. J., and Kutzbach, J. E. (2020).
The early anthropogenic hypothesis: a review. Q. Sci. Rev. 240, 106386.
doi: 10.1016/j.quascirev.2020.106386
Ruiz Pessenda, L. C. R., De Oliveira, P. E., Mofatto, M., de Medeiros, V. B., Garcia, R.
J. F., Aravena, R., et al. (2009). The evolution of a tropical rainforest/grassland mosaic
in southeastern Brazil since 28,000 14C yr BP based on carbon isotopes and pollen
records. Q. Res. 71, 437–452. doi: 10.1016/j.yqres.2009.01.008
Schefuß, E, Kuhlmann, H, Mollenhauer, G, Prange, M, Pätzold, J. (2011). Forcing
of wet phases in southeast Africa over the past 17,000 years. Nature 480, 509–512.
doi: 10.1038/nature10685
Schoeneberger, P. J., Wysocki, D. A., Benham, E. C., et al. (2012). Field Book for
Describing and Sampling Soils, Version 3, 0. Lincoln: Natural Resources Conservation
Service, National Soil Survey Center.
Shah, V. G, Dunstan, R. H, Geary, P. M, Coombes, P, Roberts, T. K, Von Nagy-
Felsobuki, E. (2007). Evaluating potential applications of faecal sterols in distinguishing
sources of faecal contamination from mixed faecal samples. Water Res. 41, 3691–3700.
doi: 10.1016/j.watres.2007.04.006
Sinclair, P. J. J. (1991). Archaeology in eastern Africa: an overview of current
chronological issues. J. Afr. History 32, 179–219. doi: 10.1017/S0021853700025706
Sistiaga, A, Wrangham, R, Rothman, J. M, Summons, R. E. (2015). New insights into
the evolution of the human diet from faecal biomarker analysis in wild chimpanzee and
gorilla faeces. PLoS ONE 10, e0128931. doi: 10.1371/journal.pone.0128931
Skoglund, P., Thompson, J. C., Prendergast, M. E., Mittnik, A., Sirak, K., Hajdinjak,
M., et al. (2017). Reconstructing prehistoric African population structure. Cell 171,
59–71.e21. doi: 10.1016/j.cell.2017.08.049
Snitker, G, Roos, C. I, 3rd, A. P. S, Maezumi, S. Y, Bird, D. W, Coughlan, M. R,
et al. (2022). A collaborative agenda for archaeology and fire science. Nat. Ecol. Evol. 6,
835–839. doi: 10.1038/s41559-022-01759-2
Soil Survey Staff. (1999) Soil Taxonomy: A Basic System of Soil Classification for
Making and Interpreting Soil Surveys. Washington, DC: United States Department of
Agriculture, Natural Resources Conservation Service.
Srivastava, P. (2001). Paleoclimatic implications of pedogenic carbonates in
Holocene soils of the Gangetic Plains, India. Palaeogeogr. Palaeoclimatol. Palaeoecol.
172, 207–222. doi: 10.1016/S0031-0182(01)00276-0
Stephens, L, Fuller, D, Boivin, N, Rick, T, Gauthier, N, Kay, A, et al. (2019).
Archaeological assessment reveals Earth’s early transformation through land use.
Science 365, 897. doi: 10.1126/science.aax1192
Storozum, M. J., Goldstein, S. T., Contreras, D. A., Gidna, A. O., Mabulla,
A. Z., Grillo, K. M., et al. (2021). The influence of ancient herders on soil
development at Luxmanda, Mbulu Plateau, Tanzania. CATENA 204, 105376.
doi: 10.1016/j.catena.2021.105376
Subbiah, M. T. R., Kottke, B. A., and Jones, C. M. (1972). Nature of sterols excreted
by non-human primates: Faecal sterols of baboon and rhesus monkey. Int. J. Biochem.
3, 430–436. doi: 10.1016/0020-711X(72)90094-8
Thevenon, F., Williamson, D., Vincens, A., Taieb, M., Merdaci, O., Decobert,
M., et al. (2003). A late-Holocene charcoal record from Lake Masoko, SW
Tanzania: climatic and anthropologic implications. The Holocene 13, 785–792.
doi: 10.1191/0959683603hl665rr
Thompson, J. C., Wright, D. K., Ivory, S. J., Choi, J. H., Nightingale, S., Mackay, A.,
et al. (2021). Early human impacts and ecosystem reorganization in southern-central
Africa. Sci. Adv. 7, eabf9776. doi: 10.1126/sciadv.abf9776
Thompson, T. J. (1981). The origins, migration, and settlement of the northern
Ngoni. The Soc. Malawi J. 34, 6–35.
Tyagi, P., Edwards, D. R., and Coyne, M. S. (2008). Use of sterol and bile acid
biomarkers to identify domesticated animal sources of fecal pollution. Water Air Soil
Pollut. 187, 263–274. doi: 10.1007/s11270-007-9514-x
Tylianakis, J. M., and Coux, C. (2014). Tipping points in ecological networks. Trends
Plant Sci. 19, 281–283. doi: 10.1016/j.tplants.2014.03.006
USGS (2018a) USGS EROS Archive - Land Cover Products - Global Land Cover
Characterization (GLCC) Version 1. Sioux Falls, SD: United States Geological Survey
Earth Resources Observation and Science Center.
USGS (2018b) USGS EROS Archive - Digital Elevation - Global 30 Arc-Second
Elevation (GTOPO30). Sioux Falls, SD: United States Geological Survey Earth
Resources Observation and Science Center.
van Der Kaars, S., Miller, G. H., Turney, C. S., Cook, E. J., Nürnberg,
D., Schönfeld, J., et al. (2017). Humans rather than climate the primary cause
of Pleistocene megafaunal extinction in Australia. Nat. Commun. 8, 14142.
doi: 10.1038/ncomms14142
van der Lubbe, H. J. L., Frank, M., Tjallingii, R., and Schneider, R. R. (2016).
Neodymium isotope constraints on provenance, dispersal, and climate-driven supply
of Zambezi sediments along the Mozambique Margin during the past ∼45,000 years.
Geochem. Geophys. Geosyst. 17, 181–198. doi: 10.1002/2015GC006080
Vicente, M., and Schlebusch, C. M. (2020). African population history: an ancient
DNA perspective. Curr. Opin. Genet. Dev. 62, 8–15. doi: 10.1016/j.gde.2020.05.008
Vincens, A., Williamson,D., The venon, F., Taieb, M., Buchet, G., Decobert, M., et al.
(2003). Pollen-based vegetation changes in southern Tanzania during the last 4200
years: climate change and/or human impact. Palaeogeogr. Palaeoclimatol. Palaeoecol.
198, 321–334. doi: 10.1016/S0031-0182(03)00473-5
Werger, M. J. A., and Coetzee, B. J. (1978). “The Sudano-Zambezian Region,” in
Biogeography and Ecology of Southern Africa, ed M. J. A. Werger (The Hague: Dr W
Junk bv Publishers), 301–462.
West, J. B., Bowen, G. J., Cerling, T. E., and Ehleringer, J. R. (2006). Stable
isotopes as one of nature’s ecological recorders. Trends Ecol. Evol. 21, 408–414.
doi: 10.1016/j.tree.2006.04.002
Williams, M., Leinfelder,R., Barnosky, A. D., Head, M. J., McCarthy, F. M., Cearreta,
A., et al. (2022). Planetary-scale change to the biosphere signalled by global species
translocations can be used to identify the Anthropocene. Palaeontology 65, e12618.
doi: 10.1111/pala.12618
Wright, D. K. (2022). Impact of farming on African landscapes. The Anthr. Rev. 10,
636–663. doi: 10.1177/20530196221140145
Wright, D. K., MacEachern, S., Ambrose, S. H., Choi, J., Choi, J. H., Lang, C., et al.
(2019). Iron Age landscape changes in the Benoué River Valley, Cameroon. Q. Res. 92,
323–339. doi: 10.1017/qua.2019.25
Zech, M., Buggle, B., Leiber, K., Markovi´
c, S., Glaser, B., Hambach, U., et al. (2010).
Reconstructing Quaternary vegetation history in the Carpathian Basin, SE-Europe,
using n-alkane biomarkers as molecular fossils: problems and possible solutions,
potential and limitations. E. G. Q. Sci. J. 58, 148–155. doi: 10.3285/eg.58.2.03
Zech, M., and Glaser, B. (2008). Improved compound-specific δ13C analysis of n-
alkanes for application in palaeoenvironmental studies. Rapid Commun. Mass Spectr.
22, 135–142. doi: 10.1002/rcm.3342
Zocatelli, R., Lavrieux, M., Guillemot, T., Chassiot, L., Le Milbeau, C., and Jacob,
J. (2017). Fecal biomarker imprints as indicators of past human land uses: source
distinction and preservation potential in archaeological and natural archives. J.
Archaeol. Sci. 81, 79–89. doi: 10.1016/j.jas.2017.03.010
Frontiers in Environmental Archaeology 20 frontiersin.org