Tenekwetche Sop’s research while affiliated with Senckenberg Museum of Natural History Görlitz and other places

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Publications (32)


Location of PanAf research sites included in this study. The background represents estimated aboveground carbon density derived from Baccini et al. (2012). Greener colors indicate wetter forest‐dominated habitats and redder colors indicate drier, more open savanna or woodland habitats. Countries included in this study are labeled on the map following standard ISO alpha‐3 codes.
Posterior distribution and density of human footprint, site protection and the interaction between them on biodiversity variables. The plots show the estimates (dots; mean of the posterior distribution) and the 67%, 87%, and 97% credible intervals (blue bars). Additionally, the density of the posterior distribution is shown as a curved line above the horizontal credibility intervals.
Posterior predictions of protection status on biodiversity variables represented as violin plots. The colored rectangles depict the 50% credibility intervals and the whiskers the 97% credibility intervals of the predicted posterior distribution (the horizontal black line depicts the mean). The lighter lines represent 150 draws from the posterior. Each dot represents a site and darker colors represent overlapping sites. Turquois colors represent protection, and red color represents unprotected areas.
Posterior predictions for human footprint on biodiversity variables. The darker line represents the mean of the posterior distribution, and the lighter lines represent 150 draws from the posterior. The size of the circles indicates the sample size per value combination.
Posterior predictions for the interaction between protection status and the human footprint on biodiversity variables are represented by the continuous lines, where the darker one is the mean of the distribution, and the lighter lines represent 150 draws from the posterior. The size of the circles indicates the sample size per value combination.
Complex Variation in Afrotropical Mammal Communities With Human Impact
  • Article
  • Full-text available

May 2025

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150 Reads

Deogratias Tuyisingize

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Lars Kulik

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[...]

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Hjalmar S. Kühl

The diversity and composition of mammal communities are strongly influenced by human activities, though these relationships may vary across broad scales. Understanding this variation is key to conservation, as it provides a baseline for planning and evaluating management interventions. We assessed variation in the structure and composition of Afrotropical medium and large mammal communities within and outside protected areas, and under varying human impact. We collected data at 512 locations from 22 study sites in 12 Afrotropical countries over 7 years and 3 months (2011–2018) with 164,474 camera trap days in total. Half of these sites are located inside protected areas and half in unprotected areas. The sites are comparable in that they all harbor at least one great ape species, indicating a minimum level of habitat similarity, though they experience varying degrees of human impact. We applied Bayesian Regression models to relate site protection status and the degree of human impact to mammal communities. Protected area status was positively associated with the proportion of all threatened species, independent of the degree of human impact. Similarly, species richness was associated with area protection but was more sensitive to human impact. For all other attributes of the mammal communities, the pattern was more complex. The influence of human impact partially overrides the positive effects of protected area status, resulting in comparable mammal communities being observed both within protected areas and in similarly remote locations outside these areas. We observed a common pattern for large carnivores, whose probability of occurrence declined significantly with increasing human impact, independent of site protection status. Mammal communities benefit from sustainability measures of socio‐economic context that minimize human impact. Our results support the notion that conservation of mammalian species can be achieved by reducing human impact through targeted conservation measures, adopting landscape‐level management strategies, fostering community engagement, and safeguarding remote habitats with high mammal diversity.

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Location of PanAf study sites included in this study (n = 22). Colored polygons indicate the approximate ranges of chimpanzee Pan troglodytes (Humle et al. 2016) and gorilla [Gorilla beringei (Plumptre et al. 2019) and Gorilla gorilla (Maisels et al. 2018)]. The background represents estimated aboveground carbon density derived from Baccini et al. (2012) as a proxy for ecological conditions. Countries included in this study are labeled on the map following standard ISO alpha‐3 codes.
Posterior predictions for the relationship between mammal detection rate, diversity, and species richness, and chimpanzee or gorilla detection rate. Dark continuous lines represent the mean of the posterior distribution, and lighter‐colored lines represent 150 random draws from the posterior. The size of the circles indicates the sample size per value combination.
Bayesian Regression Model estimates for posterior distributions of the relationship between chimpanzee detection rates and mammal richness, Shannon diversity, detection rate, and animal mass (kg). Dots represent means of the marginal posterior distributions, the bell curves represent the full posterior distribution, and horizontal lines indicate, in order of line thickness, the 67%, 87%, and 97% credible intervals.
Correlate effects of protection level, human footprint, and precipitation variance on the relationship between chimpanzee (Pan troglodytes) detection rate and mammal detection rate and diversity. The left‐most, two‐dimensional plots show posterior predictions with dark continuous lines representing mean posterior distributions and lighter‐colored lines representing 150 random draws from the posterior. The size of the circles indicates the sample size per value combination. The three‐dimensional surface plots in the middle and right columns depict continuous marginal posterior distributions, with dots representing the mean, light‐colored cells representing extrapolated estimates, and darker‐colored surface cells for which data was included in the model. Filled points refer to values above fitted model predictions and open points to values below model estimates, with point size corresponding to the available data per cell.
Chimpanzees (Pan troglodytes) Indicate Mammalian Abundance Across Broad Spatial Scales

March 2025

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231 Reads

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2 Citations

Ongoing ecosystem change and biodiversity decline across the Afrotropics call for tools to monitor the state of biodiversity or ecosystem elements across extensive spatial and temporal scales. We assessed relationships in the co‐occurrence patterns between great apes and other medium to large‐bodied mammals to evaluate whether ape abundance serves as a proxy for mammal diversity across broad spatial scales. We used camera trap footage recorded at 22 research sites, each known to harbor a population of chimpanzees, and some additionally a population of gorillas, across 12 sub‐Saharan African countries. From ~350,000 1‐min camera trap videos recorded between 2010 and 2016, we estimated mammalian community metrics, including species richness, Shannon diversity, and mean animal mass. We then fitted Bayesian Regression Models to assess potential relationships between ape detection rates (as proxy for ape abundance) and these metrics. We included site‐level protection status, human footprint, and precipitation variance as control variables. We found that relationships between detection rates of great apes and other mammal species, as well as animal mass were largely positive. In contrast, relationships between ape detection rate and mammal species richness were less clear and differed according to site protection and human impact context. We found no clear association between ape detection rate and mammal diversity. Our findings suggest that chimpanzees hold potential as indicators of specific elements of mammalian communities, especially population‐level and composition‐related characteristics. Declines in chimpanzee populations may indicate associated declines of sympatric medium to large‐bodied mammal species and highlight the need for improved conservation interventions.Changes in chimpanzee abundance likely precede extirpation of sympatric mammals.


Bonobo (Pan paniscus) Density and Distribution in Central Africa's Largest Rainforest Reserve: Long-term Survey Data Show Pitfalls in Methodological Approaches and Call for Vigilance

December 2024

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230 Reads

International Journal of Primatology

Conservation measures require accurate estimates of density and abundance and population trend assessments. The bonobo (Panpaniscus) is considered Endangered in the IUCN Red List. This classification assumes that available population data are representative. However, with only 30% of the bonobo’s historic geographical range surveyed, reliable information is needed to assess the species' population status. Here, we use information from 13 surveys conducted between 2002 and 2018 in an area of 42,000 km², representing ~27% of bonobo-suitable habitat: Salonga National Park and its corridor, Democratic Republic of the Congo (DRC). Using 8310 km of reconnaissance and transect walks and 27,045 days of camera trapping, we: (1) provide updated estimates of bonobo population density and distribution (42,000 km²; ~5,000 km² of which, to the best of our knowledge, have not been surveyed before by scientists), (2) assess population trends (15,758 km²; 2002–2008 vs 2012–2018), (3) compare estimates obtained with different methods, and (4) assess the factors driving bonobo density and distribution. Although we detected a non-significant population decline, our study suggests that Salonga is a bonobo stronghold, with a population ranging between 8244 and 18,308 mature individuals (density: 0.31 individuals/km²). Standing crop nest counts returned non-significantly lower density estimates than camera trap distance sampling. Nest count-estimates were higher in areas with Marantaceae understorey and those farther away from rivers, while camera trap-estimates were higher in areas with lower human presence. Regardless of the method, bonobos were rarer in proximity to villages. They occurred more often in areas of dense forest cover and in proximity to ranger posts. Our results point towards a declining bonobo population in Salonga, but do not provide sufficient evidence to confirm this statistically. Consequently, the continued monitoring of the bonobo population and preservation of the integrity of Salonga, considering its biological and cultural heritage, will be crucial in the preservation of this stronghold of wild bonobos.


Fig. 2 Relationship between the great ape's abundance and carbon stock. Legend: The area of the circle corresponds to the number of data points. All points are binned data points for a fraction on the x and y axis with the mean per fraction. The point is bigger as more data points fall into this fraction. The dashed line depicts the fitted model
Fig. 3 Variation of mean carbon quantity according to the great ape's species (Based on Raw Data). Legend: For each species, boxes show the median, upper value, lower value 25th and 75th percentile
Fig. 4 Variation of carbon quantity according to the level of protection (Based on Raw Data). Legend: LP, low-protected area, MP, medium protected area, HP, high-protected area. For each species, boxes show the median, upper value, lower value, 25th and 75th percentile
Fig. 5 Relationship between the carbon stock and human footprint. Legend: The area of the circle corresponds to the number of data points. All points are binned data points for a fraction on the x and y axis with the mean per fraction. The point is bigger when more data points fall into this fraction. The dashed line depicts the fitted model
Link between per capita aboveground carbon stock and area protection level
Great ape abundance and per capita carbon storage in their habitats

November 2024

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98 Reads

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1 Citation

BMC Ecology and Evolution

The ecological importance of great apes is widely recognised, yet few studies have highlighted the role of protecting great apes' habitats in mitigating climate change, particularly through carbon sequestration. This study used GIS tools to extract data from various sources, including the International Union for Conservation of Nature database, to examine carbon quantity and great ape abundance in African great ape habitats. Subsequently, we employed a generalised linear model to assess the relationship between locally measured great ape populations abundance and carbon storage across areas with different levels of protection. Our findings showed a positive relationship between the abundance of great apes in their habitats and carbon storage, likely since conservation efforts in great apes habitats may be strengthened with higher great ape populations. The results reveal that gorilla habitats exhibited higher carbon storage than chimpanzee habitats. Specifically, the areas inhabited by gorillas are associated with a mean increase of 27.47 t/ha in carbon storage. Additionally, we observed a positive association between highly protected areas and carbon storage within great ape habitats. Our model indicates that highly protected areas increase the mean carbon stored by 1.13 t/ha compared to medium protected areas, which show a reduction of 15.49 t/ha. This highlights the critical role that protected areas play in both species conservation and carbon sequestration, contributing significantly to climate mitigation efforts. Furthermore, our study underscores the significant contribution of great ape habitats, extending beyond protected areas, to carbon storage, highlighting the potential for synergistic conservation strategies targeting both great apes and carbon sequestration. Protecting great apes is vital for reducing carbon emissions from deforestation and boosting tropical forest carbon sinks. Since nearly 90% of great apes live outside protected areas, targeted conservation in these low-protected areas is also crucial.


Fig. 2. Spatial distribution of mining and ape density. Bivariate choropleth showing the relationship between mining density (using 50-km buffers around mining locations) and ape density in (A) West Africa (operational = 18.4%; preoperational = 81.6%), in (B) central Africa (operational = 8.3%; preoperational = 91.7%), and in (C) east Africa (operational = 12.2%; preoperational = 87.8%). each color change indicates a 20% quintile change in mining and ape density. lower bounds for both mining and ape density are indicated in the color matrix.
Total and proportional overlap between ape density distribution and mining areas with 10-and 50-km buffers in West, Central, and East Africa.
Threat of mining to African great apes

April 2024

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276 Reads

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8 Citations

Science Advances

The rapid growth of clean energy technologies is driving a rising demand for critical minerals. In 2022 at the 15th Conference of the Parties to the Convention on Biological Diversity (COP15), seven major economies formed an alliance to enhance the sustainability of mining these essential decarbonization minerals. However, there is a scarcity of studies assessing the threat of mining to global biodiversity. By integrating a global mining dataset with great ape density distribution, we estimated the number of African great apes that spatially coincided with industrial mining projects. We show that up to one-third of Africa’s great ape population faces mining-related risks. In West Africa in particular, numerous mining areas overlap with fragmented ape habitats, often in high-density ape regions. For 97% of mining areas, no ape survey data are available, underscoring the importance of increased accessibility to environmental data within the mining sector to facilitate research into the complex interactions between mining, climate, biodiversity, and sustainability.


Exposure of African ape sites to climate change impacts

February 2024

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127 Reads

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6 Citations

Large gaps remain in our understanding of the vulnerability of specific animal taxa and regions to climate change, especially regarding extreme climate impact events. Here, we assess African apes, flagship and highly important umbrella species for sympatric biodiversity. We estimated past (1981–2010) and future exposure to climate change impacts across 363 sites in Africa for RCP2.6 and RCP6.0 for near term (2021–2050) and long term (2071–2099). We used fully harmonized climate data and data on extreme climate impact events from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP). Historic data show that 171 sites had positive temperature anomalies for at least nine of the past ten years with the strongest anomalies (up to 0.56°C) estimated for eastern chimpanzees. Climate projections suggest that temperatures will increase across all sites, while precipitation changes are more heterogeneous. We estimated a future increase in heavy precipitation events for 288 sites, and an increase in the number of consecutive dry days by up to 20 days per year (maximum increase estimated for eastern gorillas). All sites will be frequently exposed to wildfires and crop failures in the future, and the latter could impact apes indirectly through increased deforestation. 84% of sites are projected to be exposed to heatwaves and 78% of sites to river floods. Tropical cyclones and droughts were only projected for individual sites in western and central Africa. We further compiled available evidence on how climate change impacts could affect apes, for example, through heat stress and dehydration, a reduction in water sources and fruit trees, and reduced physiological performance, body condition, fertility, and survival. To support necessary research on the sensitivity and adaptability of African apes to climate change impacts, and the planning and implementation of conservation measures, we provide detailed results for each ape site on the open-access platform A.P.E.S. Wiki.


Total-and proportional overlap between ape density distribution and mining areas with 10 km and 50 km buffers in West-, central-, and East Africa.
Name, description, spatial resolution, spatial extent, and source of datasets used in this analysis.
Threat of mining to African great apes

October 2023

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358 Reads

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1 Citation

The rapid growth of clean energy technologies is driving a rising demand for critical minerals. In 2022 at the UN Biodiversity Conference (COP 15), seven major economies formed an alliance to enhance the sustainability of mining these essential decarbonization minerals. However, there is a scarcity of studies assessing the threat of mining to global biodiversity. By integrating a global mining dataset with ape density distribution estimates, we explored the potential negative impact of industrial mining on African great apes. Our findings reveal that up to one-third of Africa’s great ape population faces mining-related risks. This is especially pronounced in West Africa, where numerous mining areas overlap with fragmented ape habitats, often occurring in high-density ape regions. For 97% of mining areas, no ape survey data are available, underscoring the importance of increased accessibility to environmental data within the mining sector to facilitate research into the complex interactions between mining, climate, biodiversity and sustainability. Teaser Mining for clean energy minerals could put one-third of Africa’s ape population at risk.


Analysis of differences and commonalities in wildlife hunting across the Africa-Europe South-North gradient

August 2022

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370 Reads

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5 Citations

Hunting and its impacts on wildlife are typically studied regionally, with a particular focus on the Global South. Hunting can, however, also undermine rewilding efforts or threaten wildlife in the Global North. Little is known about how hunting manifests under varying socioeconomic and ecological contexts across the Global South and North. Herein, we examined differences and commonalities in hunting characteristics across an exemplary Global South-North gradient approximated by the Human Development Index (HDI) using face-to-face interviews with 114 protected area (PA) managers in 25 African and European countries. Generally, we observed that hunting ranges from the illegal, economically motivated, and unsustainable hunting of herbivores in the South to the legal, socially and ecologically motivated hunting of ungulates within parks and the illegal hunting of mainly predators outside parks in the North. Commonalities across this Africa-Europe South-North gradient included increased conflict-related killings in human-dominated landscapes and decreased illegal hunting with beneficial community conditions, such as mutual trust resulting from community involvement in PA management. Nevertheless, local conditions cannot outweigh the strong effect of the HDI on unsustainable hunting. Our findings highlight regional challenges that require collaborative, integrative efforts in wildlife conservation across actors, while identified commonalities may outline universal mechanisms for achieving this goal.


Map of PAs included and their respective countries
The numbers indicate the number of PAs selected in each country. PA area data from ref. ⁷¹ and country boundaries from https://www.naturalearthdata.com/downloads/10m-cultural-vectors/; a list of the names of PAs is given in Supplementary Table 1.
Changing abundance of mammals and birds across the PA network
a,b, The average change in the abundance of mammals and birds in Africa and Europe over ten years (2007–2017) (a) and the average change in abundance by functional groups and sorted by magnitude of change for African species, separately for mammals and birds (b). In our study, we grouped the species of mammals and birds into 15 groups (functional guilds) based on similar traits and characteristics (for example, eating habit, body size, migration). A value of 1 indicates that none of the species within a group were declining, while a value of, for example, 0.7 indicates that only 70% remained stable after ten years and 30% declined. The dots represent the average change in abundance of species in a guild, and lines represent the bootstrapped 95% confidence intervals. For instance, in Africa, only 58% of insectivorous mammals, 62% of small mammalian predators and 63% of top mammalian predators were stable over the 10-year period. In Europe, 78% of seed-eating birds and 80% of piscivorous birds were stable. Icons produced using rphylopic⁷².
The influence of socio-economic context and conservation effort on threats to PAs
a,b, The relationship between national socio-economic context (HDI) and threat intensity (a) and threat intensity, conservation effort and national socio-economic context (b). The dashed line depicts the expected mean of the predicted posterior distribution, the coloured areas depict the 50% and 77% credibility intervals and the size of the bubbles corresponds to the respective number of PAs.
Interaction effects of predictors of biodiversity change across the PA network
a–d, The effect of the interaction between threat intensity and HDI (a), protection-based interventions) (b), community-based conservation interventions (c) and all interventions combined (d). The figure depicts the fitted model surface. Darker coloured cells represent cells where observational data exist. Values above the fitted model are depicted as filled points and values below as open points. The volume of the points corresponds to number of PAs per cell. Abundance stability is defined as the average change in the abundance of mammals and birds, obtained by averaging binary values (1 when the change in the abundance is zero or positive and 0 when the change is negative). As seen in a, abundance stability declines as threat intensity increases; this effect is more pronounced when human development index decreases. As seen in b, abundance stability is negatively related to increasing levels of protection efforts when threat levels are high. As seen in c, abundance stability increases as community-based conservation efforts increase, except when threat intensity is very high. As seen in d, when threat intensity is low to medium, abundance stability increases with increased levels of combined community and protection efforts; at higher levels of threat intensity, this changes to a slightly negative relationship.
Effectiveness of protected areas influenced by socio-economic context

August 2022

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1,818 Reads

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39 Citations

Nature Sustainability

Protected area (PA) performance is thought to depend on effective conservation management and favourable socio-economic context. However, increasing evidence of continued biodiversity decline within PAs raises the question of whether fundamental ecological and socio-economic constraints might actually affect PA effectiveness. Here we quantify how threats to biodiversity, socio-economic context and conservation efforts play out across 114 PAs in 25 European and African countries. We found that even in the presence of highly favourable socio-economic context and conservation efforts, it is not possible to completely offset the intensity of threats and prevent biodiversity decline. Projections show that halting biodiversity decline across the studied PA network may require at least a 35% increase in conservation efforts over a decade. However, as PAs approach zero biodiversity loss, even greater efforts and resources would be needed because of the principle of diminishing marginal returns. Our findings point to limited effectiveness of PAs and their management that might not be possible to address by simply increasing resources. Additionally, the adoption of core design principles of sustainable systems that take into account the social–ecological contexts of PAs could help overcome the observed hurdles of limited effectiveness and thus better integrate PAs into sustainable development efforts.


Citations (16)


... Chimpanzees have been highlighted as an effective umbrella and flagship species [42] and are the focus of many targeted conservation initiatives across management scales. For example, the International Finance Corporation (IFC) requires companies potentially impacting great apes in their project area to consult with the ARRC (avoid, reduce, restore and conserve) Task Force of the IUCN Species Survival Commission Primate Specialist Group's Section on Great Apes (SGA; [43]). ...

Reference:

Concerted conservation actions to support chimpanzee cultures
Chimpanzees (Pan troglodytes) Indicate Mammalian Abundance Across Broad Spatial Scales

... However, the presence of large and medium-sized herbivores or frugivores, largely represented by ungulates and species such as elephants and chimpanzees, is critical to the structure of the forest plant community (Snyder 2019), as they can contribute to forest regeneration through seed dispersal of large tree species (Wright et al. 2000). As we have demonstrated in a recent study (Vale et al. 2024), areas hosting great apes store more carbon, which is important in climate change mitigation. As snares and human tracks were the most frequent anthropogenic activities recorded, the suppression of these mammals in the long term will change the plant community structure with drastic consequences for the amount of carbon stored (Osuri et al. 2016). ...

Great ape abundance and per capita carbon storage in their habitats

BMC Ecology and Evolution

... In our context, the 'human footprint' refers to a composite measure of various anthropogenic activities, such as habitat conversion, hunting and overexploitation of natural resources, that impact ecosystems (Benítez-López et al. 2019;Ceballos et al. 2017;Junker et al. 2024;Laurance et al. 2012;Mu et al. 2022;Sanderson et al. 2002;Selier et al. 2015). These activities affect mammalian community composition, including species richness and diversity, the presence of threatened species, as well as the structural composition related to trophic guilds and body mass distribution (Brodie et al. 2015;Chillo and Ojeda 2012;Jones et al. 2019;Mu et al. 2022;Tucker et al. 2021;Vanthomme et al. 2013). ...

Threat of mining to African great apes

Science Advances

... Additionally, it offers monthly datasets from 1979 onward, making it suitable for the time framework of our study. However, the limitation of this research inherent to modeling uncertainties with climate data and climate change simulation impact as discussed by Kiribou et al. (2024b) in the assessment of exposure of wild species to climate change impact (Kiribou et al., 2024b). CHELSA does not provide uncertainties related to the data (Karger et al., 2023). ...

Exposure of African ape sites to climate change impacts

... Overall, spears, air rifles, and traps are preferred by the Tehit Knasaimos Ethnic group for their ease of use and efficiency compared to other hunting tools. Bachmann et al. (2022) state that traditional hunting is usually carried out with traditional weapons and methods that limit the number of captures, making it more sustainable than commercial hunting, which uses modern technology and operates on a larger scale. Therefore, strict regulations and awareness of the importance of customary laws in maintaining wildlife population sustainability are essential. ...

Analysis of differences and commonalities in wildlife hunting across the Africa-Europe South-North gradient

... In general, we found that the most important area for conservation (based on the size by all indicators calculated) was in southern Andalucia (Figure 3; Appendix S26). Conservation efforts should be increased as threats increase (Gatiso et al., 2022). A reason for our results could be that over the years, habitat conservation has been insufficient. ...

Effectiveness of protected areas influenced by socio-economic context

Nature Sustainability

... The realization of Goals 14 and 15 set out in the Sustainable Development Resolution 2030 of UN is inextricably connected to the Aichi Strategic Plan's implementation. In 2022, at COP-15 adopted the Kunming-Montreal, that set the goal of expanding of Specially Protected Areas system in the world [3,8]. Thus, looking beyond 2020 it will be essential to ensure that future targets are not only ambitious but also measurable across all aspects of what makes protected areas effective. ...

Sustainable protected areas: Synergies between biodiversity conservation and socioeconomic development

... These differences may also indicate physiological responses to diet quality and seasonal variation. The state of surrounding vegetation and footprint impressions added contextual clues: gorilla dung was often accompanied by large heel and fist prints, trampled plants, and disturbed substrates, consistent with their larger body size and terrestrial foraging behaviour [44,45]. ...

Range‐wide indicators of African great ape density distribution

American Journal of Primatology

... Areas rich in primates, such as the Amazon Basin, the Congo Basin, Southeast Asia, and Madagascar, have historically served as refugia for climate change, offering stable microclimates that have enabled primates and other species to endure past climatic fluctuations (Alfaro et al., 2015;Anthony et al., 2007;Barratt et al., 2021;Hassel-Finnegan et al., 2013;Wilmé et al., 2006Wilmé et al., , 2012. Refugia resulting from future changes in climate will provide critical safety zones that can sustain local species and species that are recent migrants in these areas. ...

Quantitative estimates of glacial refugia for chimpanzees ( Pan troglodytes ) since the Last Interglacial (120,000 BP)

American Journal of Primatology

... (b) The dire conservation status of chimpanzees and current conservation approaches Tragically, the total estimated chimpanzee population in Africa has shrunk from 1−2 million individuals historically to fewer than 460 000 currently [27] and is predicted to decline by more than 50% over the next 75 years, with chimpanzees already extirpated from at least three countries [28,29]. The main threats to chimpanzees include disease, the pet trade, poaching and habitat loss [30]. ...

Predicting range shifts of African apes under global change scenarios