Sabine Grunwald

Sabine Grunwald
University of Florida | UF · Department of Soil and Water Sciences

PhD

About

208
Publications
81,419
Reads
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8,236
Citations
Additional affiliations
August 2001 - present
University of Florida
Position
  • Professor
Description
  • Pedometrics, soil-landscape analysis, carbon dynamics, digital soil mapping, GIS/geospatial, soil and remote sensing, environmental impact assessment
August 2001 - present
University of Florida
Position
  • Professor (Full)
August 2001 - present
University of Florida
Position
  • Professor (Full)

Publications

Publications (208)
Article
Full-text available
The soil security framework has been conceptualized and views soil as a resource that needs to be secured to avoid or minimize adverse environmental/anthropogenic impacts and undesirable consequences for people. Our critical literature review suggests that measurements, estimations, simulations, or digital mapping of soil properties fall short in a...
Article
Full-text available
The United States NRCS has a soil database that has data collected from across the country over the last several decades. This also includes soil spectral scans. This data is available, but it may not be used to its full potential. For this study, pedon, horizon and spectral data was extracted from the database for samples collected from 2011 to 20...
Article
Full-text available
Although many Soil Spectral Libraries (SSLs) have been created globally, these libraries still have not been operationalized for end-users. To address this limitation, this study created an online Brazilian Soil Spectral Service (BraSpecS). The system was based on the Brazilian Soil Spectral Library (BSSL) with samples collected in the Visible–Near...
Article
Aboveground net primary productivity (ANPP) of an ecosystem is among the most important metrics of valued ecosystem services. Measuring the efficiency scores of ecological production (ESEP) based on ANPP using relevant variables is valuable for identifying inefficient sites. The efficiency scores computed by the Data Envelopment Analysis (DEA) may...
Article
Full-text available
The global soil carbon pool has been estimated to exceed the amount of carbon stored in the atmosphere and vegetation, though uncertainties to quantify below-ground carbon and soil carbon fluxes accurately still exist. Modeling soil carbon using artificial intelligence (AI) - machine learning (ML) and deep learning (DL) algorithms - has emerged as...
Article
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Tree plantations represent an important component of the global carbon (C) cycle and are expected to increase in prevalence during the 21st century. We examined how silvicultural approaches that optimize economic returns in loblolly pine (Pinus taeda L.) plantations affected the accumulation of C in pools of vegetation, detritus, and mineral soil u...
Article
Knowledge of soil conditions is a critical factor of effective land management to achieve optimum ecosystem services in agriculture. Digital soil modeling that incorporates soil spectral data has become a cost-efficient method compared to traditional wet-chemical soil analysis to produce high quality soil management data at the regional level. This...
Article
Estuarine water salinity is important to coastal ecosystems and the economy. To examine the potential effect of the Mississippi River freshwater discharge on water salinity of other estuaries, we used the machine learning Cubist algorithm to model salinity of three estuaries (Apalachicola Bay, Weeks Bay, and Grand Bay) of the northern Gulf of Mexic...
Article
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This article explores body constructs along the descending, ascending, and extending body-soteriological pathways, as well as it lays the foundation to identify their potential for transbody and transpersonal transformation. Insights are provided on the nexus of pluralistic body constructs using Jorge Ferrer’s participatory theory juxtaposed with B...
Article
Including environmental covariates, when available, can be a valuable strategy for achieving higher soil predictive performance, but it is still unknown whether environmental data should be used either as covariates, combined with Vis-NIR spectra, to predict soil organic carbon (SOC) or as criteria to stratify a soil spectral library (SSL). We hypo...
Article
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The data envelopment analysis (DEA) is useful for the measuring of efficiencies of functions in various research fields. In previous studies the soil carbon sequestration (SCseq) efficiency index (SCI) was assessed at regional scale; however, the effects of various calculation factors—including returns-to-scales (RTSs), selection of orientation (in...
Article
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Various soil concepts have emerged since the beginning of the twentieth century, with some shared similarities. These concepts have contributed to a rise in the awareness of protecting limited soil resources, but not every idea has equally gained widespread attention from scientists. The purpose of this study was to document the developmental histo...
Article
Based on the premise that the modeling and mining of soil and environmental data are capable of generating useful spatial information for use and planning in the forestry supply chain, we have established the following objectives: i) predict soil depth (SoD) in a topographically complex landscape via Digital Soil Mapping (DSM), ii) evaluate the pot...
Article
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Inter- and transdisciplinary approaches that catapult soil science to the next level in pedometrics are urgently needed to address critical topics in soil health and security. Specifically, the fusion of pedometrics and econometrics is poised to move quantitative soil assessments focused on properties and predictions toward integrative pedo-econome...
Article
More accurate models for the prediction of soil organic carbon (SOC) by visible-near-infrared (Vis-NIR) spectroscopy remains a challenging task, especially when the SSL is composed of soils with a high pedological variation. One proposition to increase the models accuracy is to reduce the SSL variance, which can be achieved by stratifying the libra...
Article
Full-text available
Soil spectroscopy modelling has been extensively studied as the cost-effective proximal sensing method for soil total and organic carbon predictions. Soil carbon properties were highly predictable due to the existence of active carbon molecular bonds within the Visible/Near-Infrared (VNIR) wavelength region. However, prediction results are highly v...
Article
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Conventional multivariate statistics that have been used to create indication systems to assess soil functions raise theoretical and practical issues. The Data Envelopment Analysis (DEA) that can overcome such issues is a well-known management tool in other fields than soil science. This study is the first to use the DEA for a soil-related phenomen...
Article
The pedosphere is the largest terrestrial reservoir of organic carbon, yet soil-carbon variability and its representation in Earth system models is a large source of uncertainty for carbon-cycle science and climate projections. Much of this uncertainty is attributed to local and regional-scale variability, and predicting this variation can be chall...
Article
Soil-environmental correlation has been extensively studied as a cost-effective method for regional-scale soil attribute modeling. However, the limitations of commonly used statistical methods in soil-factorial modeling entail multicollinearity in bigdata soil-factorial prediction data and mixed type of soil-environmental variables (categorical and...
Article
The present study was developed in a joint partnership with the Brazilian pedometrics community to standardize and evaluate spectra within the 350–2500 nm range of Brazilian soils. The Brazilian Soil Spectral Library (BSSL) began in 1995, creating a protocol to gather soil samples from different locations in Brazil. The BSSL reached 39,284 soil sam...
Article
Our understanding of the spatial distribution of soil carbon (C) pools across diverse land uses, soils, and climatic gradients at regional scale is still limited. Research in digital soil mapping and modeling that investigates the interplay between (i) soil C pools and environmental factors ("deterministic trend model") and (ii) stochastic, spatial...
Article
Full-text available
Context Point based measurements provide only a limited overview of landscape variation in measured properties. Upscaling of measurements from point to landscape comes with challenges particularly considering error propagation. Objectives We investigated the impact of using proximal derived measurements of soil total carbon taken at point location...
Article
The applicability, transferability, and scalability of visible/near-infrared (VNIR)-derived soil total carbon (TC) models are still poorly understood. The objectives of this study were to: i) compare models of three multivariate statistical methods, partial least squares regression (PLSR), support vector machine (SVM), and random forest methods, to...
Article
Full-text available
Few studies have systematically investigated the effects of subsetting strategies on soil modelling or explored the potential of emergent methods from other fields not previously applied to pedometrics. This study considers smallholder agricultural villages in southern India that have been understudied in terms of chemometric modelling intended to...
Article
Appropriate scale, justifiably reliable, categorical and continuous spatial soil information is urgently needed to address environmental problems and ensure sustainability of ecosystem services at local, regional and global scales. Regression Kriging (RK) is one of the most popular, practical and robust hybrid spatial interpolation techniques in th...
Article
Full-text available
Trauma is an inescapable part of being human, whether caused by external events or internal struggles. Self-reflection and self-awareness aid in the recovery from external trauma and heal psychosomatic wounds. We first explain different understandings of the nature of the self and mechanisms of self-reflection and self-awareness. Then we describe t...
Article
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Soil scientists have worked on the conceptualization and contextualization of soil-related notions, such as soil quality, soil health, and soil security, over the past few decades. We reviewed the massive amount of literature regarding those major concepts, and summarized definitions, visions, and constraints. Indicators (In) and indices (Ix) are w...
Article
Image fusion is in its infancy in the application of Digital Soil Mapping, and the incorporation of the image pansharpened spectral indices into the soil prediction models has seldom been analyzed. This research performed image pansharpening of Landsat 8, WorldView-2, and Pleiades-1A in a smallholder village called Masuti in South India using three...
Article
Abstract Soil organic carbon (SOC) plays a crucial role as an ecosystems indicator. Its quantification requires an affordable, and less time-consuming method. Visible and near infrared (Vis-NIR) reflectance spectroscopy has demonstrated its applicability to predict SOC over the years. The aims of this study were to i) to compare the influence of pr...
Article
Full-text available
SSSA Women in Science Workshop: Work Life Balance ASA-CSSA-SSSA Meeting, Tampa, FL (2017) Sabine Grunwald We live in a fast-paced time where multi-tasking, overloaded schedules, and high demands keep us often incredibly busy and stressed. It seems paradoxical to meet both, the demands and goals of our work and personal life. To balance our expecta...
Article
Mapping soil nutrients can help smallholder farmers identify soil nutrient status and implement site-specific soil management schemes. In the past, Digital Soil Mapping has seldom been utilized to guide soil nutrient management in smallholder farm settings in South India. The objective of this research was to analyze the spatial resolution effects...
Article
Full-text available
In many studies, the distribution of soil attributes depends on both spatial location and environmental factors, and prediction and process identification are performed using existing methods such as kriging. However, it is often too restrictive to model soil attributes as dependent on a known, parametric function of environmental factors, which kr...
Article
Full-text available
Digital soil mapping (DSM) is gaining momentum as a technique to help smallholder farmers secure soil security and food security in developing regions. However, communications of the digital soil mapping information between diverse audiences become problematic due to the inconsistent scale of DSM information. Spatial downscaling can make use of acc...
Article
Proximal sensing provides an alternative method to physical and chemical laboratory soil analyses. The aim of this study is to predict soil organic carbon (SOC), clay, sand, and silt content using reduced spectral features as covariables selected by two spectral preprocessing. A total of 299 soil samples were collected in Santa Catarina state, Braz...
Article
Major end users of Digital Soil Mapping (DSM) such as policy makers and agricultural extension workers are faced with choosing the appropriate remote sensing data. The objective of this research is to analyze the spatial resolution effects of different remote sensing images on soil prediction models in two smallholder farms in Southern India called...
Article
Full-text available
Visible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest...
Article
The protection of water, land, and air resources has profound implications for the sustainability of ecosystem services provided to societies that are embedded within economies, global systems, and socio-cultural and political contexts. This study assessed preferences for provisioning, regulating, and supporting ecosystem services, specifically, cl...
Article
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Soil prediction models based on spectral indices from some multispectral images are too coarse to characterize spatial pattern of soil properties in small and heterogeneous agricultural lands. Image pan-sharpening has seldom been utilized in Digital Soil Mapping research before. This research aimed to analyze the effects of pan-sharpened (PAN) remo...
Article
Full-text available
Wetland soils are able to exhibit both consumption and production of greenhouse gases, and they play an important role in the regulation of the global carbon (C) cycle. Still, it is challenging to accurately evaluate the actual amount of C stored in wetlands. The incorporation of remote sensing data into digital soil models has great potential to a...
Conference Paper
Full-text available
İdentifying labile and recalcitrace soil carbon (C) fractions across diverse land uses, soils and climatic gradients is particularly essential to assess short-term carbon loss and long term carbon budget. However, upscaling soil C fractions to a coarser scale is rarely found in literature. Research in digital soil mapping and modeling that elaborat...
Article
Understanding the field-scale spatial variability of soil organic carbon (SOC) is critical to assess its spatial distribution at very fine scale (several meters) which is valuable for precision agriculture and natural resource management. The aim of this study was to investigate the field-scale spatial variability of SOC under five prevalent land u...
Book
Environmental Soil-Landscape Modeling: Geographic Information Technologies and Pedometrics presents the latest methodological developments in soil-landscape modeling. It analyzes many recently developed measurement tools, and explains computer-related and pedometric techniques that are invaluable in the modeling process. This volume provides an in-...
Chapter
We provide an overview of historic and emerging soil mapping technologies, soil mapping paradigms, and data management. Geographic information technology (GIT), including the emergence of global positioning systems, geophysical map ping techniques such as electromagnetic induction and ground-penetrating radar, soil sensors such as profile cone pene...
Article
Full-text available
Soil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agro- ecological balances and food security. It is important that we learn more about soil to sustainably manage and preserve it for futu...
Article
Full-text available
Many higher education institutions have seen an increasing trend of students in emotional distress or crisis, resulting in the growth of counseling centers and interpersonal challenges in classrooms. The spectrum of psychological issues include stress, anxiety, burnout , clinical depression, dissociation, addictions (e.g., social media, alcohol), d...
Article
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Flower thrips tend to form areas of high population, termed ‘hot spots,’ in blueberry plantings. This study provided evidence that thrips density may be correlated with flower density in space. Further understanding of the relationship between flower density and thrips numbers could lead to better scouting and management programs.
Article
Full-text available
Soil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agro-ecological balances and food security. It is important that we learn more about soil to sustainably manage and preserve it for futur...
Chapter
Full-text available
Over the past decades, a changing climate, land use shifts, socioeconomic development, and political decisions have had a tremendous impact on the spatial and temporal variation of soil carbon. How soil carbon interacts with such changing natural environmental and anthropogenic forcings within various ecosystem domains and spatial and temporal scal...
Chapter
Full-text available
Organic carbon is a key component of the terrestrial system that affects the physical, chemical, and biological processes. Changes in both the soil and the terrestrial carbon storage occur due to the interactions of natural ecological processes and anthropogenic activities. Research gaps to quantify soil and terrestrial carbon still exist. To disce...
Chapter
Full-text available
The assessment of soil total carbon (TC) across large land areas is critical to derive global and regional soil carbon budgets and better understand the interactions between carbon and other biogeochemical cycles. But the cost and time involved in measurements of TC with standard laboratory methods are impractical. Research has suggested that visib...
Chapter
Full-text available
There has been great interest in the estimation of soil carbon over the last decade to address critical environmental, agronomic, and sociopolitical issues. Soil proximal sensing has shown much potential for soil carbon assessment. Visible/near-infrared diffuse reflectance spectroscopy (VNIRS) has been introduced as a complementary data source in d...
Chapter
Full-text available
Global soil security is complex, encompassing technical, socioeconomic, and political issues and people’s beliefs and values. Our thesis is that global soil security and the soil health crisis we face today are due to a lack of awareness and understanding of prominent values and benefits soils provide to sustain humanity. In this paper, we use the...
Chapter
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Soil security denotes freedom from risks of losing a specific or a group of soil functions. This case study in the permanent protection area of Sana river (PPA-Sana), Brazil, addresses the relationship between soil security and water security. It explores the soil function “the provision of clean water and its storage, as well as filtering the cont...
Chapter
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The profound human-centric dominance in the Anthropocene has created changes in land use, biomes, climate, food networks, economies, and social communities, which in turn have impacted global resources, such as food, energy, and water, as well as the soils, that humanity and other terrestrial life-forms depend on for survival. We posit that a new i...
Article
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Grand global challenges of our time, such as food security and soil security, cannot be met without up-to-date, high-quality, high-resolution, spatiotemporal, and continuous soil and environmental data that characterize soil ecosystems. At local and regional scales, accurate and precise soil assessment is critical for management, soil health, and s...
Article
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Land use change is widely recognized as a net source of greenhouse gas emissions at the global scale. Most of these emissions are attributed to losses from aboveground terrestrial pools such as deforestation. However, much less is known about the effects of land use change on soil carbon pools at regional scales. To address this problem, relationsh...
Poster
Full-text available
Regional scale characterization of the spatial distribution of soil carbon (C) fractions can facilitate a better understanding of the lability and recalcitrance of C across diverse land uses, soils, and climatic gradients. While C lability is associated with decomposition and transport processes in soils in, the stable portion of soil C persists in...
Article
Full-text available
There is a great challenge in combining soil proximal spectra and remote sensing spectra to improve the accuracy of soil organic carbon (SOC) models. This is primarily because mixing of spectral data from different sources and technologies to improve soil models is still in its infancy. The first objective of this study was to integrate information...
Article
Full-text available
We used a GIS approach to test a conceptual soil-landscape model which integrates topographic, geologic and soil information for predicting the distribution of phosphatic soils. The hypothesis was that phosphatic soils occur on erosional landscapes where phosphatic geologic materials are exposed at or near land surface. Areas of high (scarp), mediu...
Article
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Phosphorus (P) enrichment in soils has been documented in the Santa Fe River watershed (SFRW, 3585 km) in north-central Florida. Yet the environmental factors that control P distribution in soils across the landscape, with potential contribution to water quality impairment, are not well understood. The main goal of this study was to develop soil-la...
Poster
Full-text available
The host range of Drosophila suzukii (Matsumura), an invasive drosophilid pest of thin-skinned fruit, includes many cultivated and wild fruits. Wild hosts are present in habitats adjacent to cultivated blueberries, and may provide shelter and resources for D. suzukii during non-crop seasons. Our objectives were to investigate infestation levels of...