A5019937716- Remote Sensing in Agriculture
- Climate change impacts on agriculture
- Ecology and Vegetation Dynamics Studies
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Plant Water Relations and Carbon Dynamics
- Species Distribution and Climate Change
- Rangeland Management and Livestock Ecology
- Plant and animal studies
- Climate change and permafrost
- Agriculture Sustainability and Environmental Impact
- Water-Energy-Food Nexus Studies
- Pasture and Agricultural Systems
- Plant responses to elevated CO2
- Sustainability and Ecological Systems Analysis
- Agricultural risk and resilience
- Landslides and related hazards
- Bioinformatics and Genomic Networks
- Fire effects on ecosystems
- Plant Ecology and Soil Science
- Food Supply Chain Traceability
- Soil and Environmental Studies
- Science and Climate Studies
- Global Energy and Sustainability Research
- Environmental Sustainability and Technology
World Resources Institute
2022-2025
Colorado State University
2020-2023
University of California, Irvine
2019-2020
University of Minnesota
2018-2019
University of Arizona
2009-2015
Rocky Mountain Biological Laboratory
2012-2015
Millersville University
2009
Many studies have estimated the adverse effects of climate change on crop yields, however, this literature almost universally assumes a constant geographic distribution crops in future. Movement growing areas to limit exposure conditions has been discussed as theoretical adaptive response but not previously quantified or demonstrated at global scale. Here, we assess how changes rainfed area already mediated season temperature trends for maize, wheat, rice, and soybean using...
Yield gaps, here defined as the difference between actual and attainable yields, provide a framework for assessing opportunities to increase agricultural productivity. Previous global assessments, centred on single year, were unable identify temporal variation. Here we spatially temporally comprehensive analysis of yield gaps ten major crops from 1975 2010. have widened steadily over most areas eight annual remained static sugar cane oil palm. We developed three-category typology...
ABSTRACT Seasonally, snow‐covered forests are a critical source of water in the Western United States and subject to major disturbances, including fire, harvest, disease insect‐caused mortality, that have relatively unknown effects on availability. In this study, we investigated changes winter season snow accumulation ablation forest following Las Conchas fire Jemez Mountains New Mexico. We two competing sets processes should determine peak annual snowpack prior snowmelt: (1) reduced...
Abstract Rangelands are one of the Earth’s major ice-free land cover types. They provide food and support livelihoods for millions people in addition to delivering important ecosystems services. However, rangelands at threat from climate change, although extent magnitude potential impacts poorly understood. Any declines vegetation biomass fluctuations grazing availability would be concern production ecosystem integrity functionality. In this study, we use a global rangeland model combination...
Abstract Rising competition for crop usage presents policy challenges exacerbated by poor understanding of where crops are harvested various uses. Here we create high-resolution global maps showing seven broad use categories—food, feed, processing, export, industrial, seed and losses. Yields food low relative to other crop-use categories. It is unlikely, given current trends, that the minimum calorie requirement eliminate projected undernourishment 2030 will be met through direct...
Darwin first proposed that species with larger ecological breadth have greater phenotypic variation. We tested this hypothesis by comparing intraspecific variation in specific leaf area (SLA) to species' local elevational range and assessing how external (abiotic) filters may influence observed differences among species. Understanding the patterns of individual within between populations will help evaluate differing hypotheses for structuring communities distribution species.We selected 21...
Abstract Grazing livestock are an important source of food and income for millions people worldwide. Changes in mean climate increasing variability affecting grasslands' carrying capacity, thus threatening the livelihood as well health grassland ecosystems. Compared with cropping systems, relatively little is known about impact such climatic changes on grasslands productivity adaptation responses available to farmers. In this study, we analysed relationship between precipitation,...
• Premise of the Study: Leaf area is a key trait that links plant form, function, and environment. Measures leaf can be biased because often estimated from dried or fossilized specimens have shrunk by an unknown amount. We tested common assumption this shrinkage negligible. Methods: measured comparing dry fresh in 3401 leaves 380 temperate tropical species used phylogenetic trait‐based approaches to determine predictors shrinkage. also effects rehydration simulated fossilization on four...
Abstract Estimating phenotypic distributions of populations and communities is central to many questions in ecology evolution. These can be characterized by their moments (mean, variance, skewness kurtosis) or diversity metrics (e.g. functional richness). Typically, such are calculated using community‐weighted approaches abundance‐weighted mean). We propose an alternative bootstrapping approach that allows flexibility trait sampling explicit incorporation intraspecific variation, show this...
Abstract Many agricultural regions rely on snowmelt runoff as a source of water for irrigation, but climate change is altering dynamics, making it difficult to meet increasing irrigation demands. It remains unclear whether shortages are systematically occurring in snow-dependent across the globe. Here, we study global trends surface used demands by linking rainfall and data with consumption (1985–2020). Focusing most basins, find that volumes have slightly decreased significantly earlier...
<title>Abstract</title> The paper describes the production and evaluation of annual livestock densities cattle, horses, sheep goats (including per-pixel 95% probability prediction intervals) at 1~km spatial resolution for 2000—2022 period using spatiotemporal Machine Learning. A compilation subnational census data has been imported, harmonized used as reference (52,883 polygons 678,266 individual points; covering 86% potential land production) to build predictive models correlation with a...
This study presents a high-resolution mapping framework for estimating GPP in grasslands over the period 2000-2022 at spatial resolution of 30 meters. The values are derived utilizing Light Use Efficiency (LUE) model using 30-m Landsat reconstructed images coupled with 1-km MOD11A1 temperature data and 1-degree CERES Photosynthetically Active Radiation (PAR). To implement LUE model, we used biome-specific productivity factor (maximum parameter) as global constant. resulted map that did not...
<title>Abstract</title> Processing extremely large collections of Earth Observation (EO) time-series, often petabyte-sized, such as NASA's Landsat and ESA's Sentinel missions, can be computationally prohibitive costly. Despite their name, even the Analysis Ready Data (ARD) versions rarely used direct input for modeling require additional time-series processing. Existing solutions readily using these data are not openly available, poor in performance, or lack flexibility. Addressing this...
Processing large collections of earth observation (EO) time-series, often petabyte-sized, such as NASA's Landsat and ESA's Sentinel missions, can be computationally prohibitive costly. Despite their name, even the Analysis Ready Data (ARD) versions rarely used direct input for modeling because cloud presence and/or storage size. Existing solutions readily using these data are not openly available, poor in performance, or lack flexibility. Addressing this issue, we developed TSIRF...
The rise of trait-based ecology has led to an increased focus on the distribution and dynamics traits in communities. However, a general theory ecology, that can apply across different scales (e.g., species differ size) gradients temperature), yet be formulated. While research focused metabolic allometric scaling provides basis for such it does not explicitly account differences within taxa, as variation optimal temperature growth. Here we synthesize approaches into framework term Trait...