Sabine Grunwald

About

Sabine Grunwald is a professor in the Department of Soil, Water, and Ecosystem Sciences at the University of Florida, within the Institute of Food and Agricultural Sciences. Her research focuses on various aspects of soil and environmental sciences, including carbon modeling and global climate change, soil health and security, and digital soil mapping and modeling. She specializes in pedometrics, landscape analysis, and GIS, with a particular interest in investigating the scaling behavior of soil and environmental properties across different spatial and temporal scales. Her work involves understanding carbon dynamics and modeling terrestrial carbon patterns and processes, as well as exploring the spatially-explicit relationships between human-induced stressors such as land use and climate change and environmental landscape factors like soil, climate, terrain, geology, and hydrology. She aims to gain insights into biophysical feedbacks and carbon sequestration or loss in ecosystems, and she analyzes phosphorus and nitrogen behavior in aquatic and terrestrial systems. Her research integrates geospatial science and technologies to assess ecosystem services and address social-cultural-environmental relations.

Research topics

• Environmental science
• Computer Science
• Environmental resource management
• Ecology
• Mathematics
• Psychology
• Environmental planning
• Remote sensing
• Statistics
• Soil science

Selected publications

• Artificial intelligence for geoscience: Progress, challenges, and perspectives

  The Innovation · 2024-08-23 · 312 citations

  reviewOpen access

  This paper explores the evolution of geoscientific inquiry, tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence (AI) and data collection techniques. Traditional models, which are grounded in physical and numerical frameworks, provide robust explanations by explicitly reconstructing underlying physical processes. However, their limitations in comprehensively capturing Earth's complexities…

  PublisherDOI

• Climate change: Strategies for mitigation and adaptation

  The Innovation Geoscience · 2023 · 205 citations

  <p>The sustainability of life on Earth is under increasing threat due to human-induced climate change. This perilous change in the Earth's climate is caused by increases in carbon dioxide and other greenhouse gases in the atmosphere, primarily due to emissions associated with burning fossil fuels. Over the next two to three decades, the effects of climate change, such as heatwaves, wildfires, droughts, storms, and floods, are expected to worsen, posing greater risks to human health and glo…

  DOI

• Practical Guide to Measuring Wetland Carbon Pools and Fluxes

  Wetlands · 2023 · 73 citations

  that enhance the interpretation of findings and facilitate model development. The protocols that we describe to measure soil, water, vegetation, and gases are also relevant for related disciplines such as ecology. Improved quality and consistency of data collection and reporting across studies will help reduce global uncertainties and develop management strategies to use wetlands as nature-based climate solutions. Supplementary Information: The online version contains supplementary material avai…

  PublisherOA PDFDOI

• When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content?

  The Science of The Total Environment · 2020 · 53 citations

  Senior authorCorresponding
  DOI

• Do the Mann-Kendall test and Theil-Sen slope fail to inform trend significance and magnitude in hydrology?

  Hydrological Sciences Journal · 2023-05-16 · 34 citations

  article

  ABSTRACTThe Mann-Kendall (MK) test is frequently used for trend detection in hydrological time series although its power has not been systematically studied under the influence of both missing data and aggregation of data (daily, monthly averages). We used Monte Carlo experiments to examine how the power of the MK test and the accuracy/precision of the Theil-Sen (TS) estimator are affected by missing data and taking averages of the data. A case study using real measurements is presented to evalu…

  PublisherDOI

Recent grants

• EAGER: Development of a Geospatial Soil-Crop Inference Engine for Smallholder Farmers

  NSF · $292k · 2012–2014

Frequent coauthors

• Stephen Scott

  King's College Hospital

  43 shared

• John M. McClellan

  University of North Carolina at Chapel Hill

  41 shared

• Christoph U. Correll

  Zucker Hillside Hospital

  40 shared

• Fritz Mattejat

  37 shared

• Stan Kutcher

  McGill University

  36 shared

• Aribert Rothenberger

  36 shared

• Jan K. Buitelaar

  36 shared

• Elizabeth Pappadopulos

  Eisai (United States)

  35 shared

Similar researchers at University of Florida

• Jim Jawitzh-43
• Stefan Gerberh-43
• Vimala Nairh-40