A5087965283- Species Distribution and Climate Change
- Animal and Plant Science Education
- Invertebrate Taxonomy and Ecology
- Horticultural and Viticultural Research
- Plant Pathogens and Fungal Diseases
- Research Data Management Practices
- Conferences and Exhibitions Management
- Land Use and Ecosystem Services
- Forest Insect Ecology and Management
- Environmental Sustainability and Technology
- Conservation, Biodiversity, and Resource Management
- Semantic Web and Ontologies
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Animal Ecology and Behavior Studies
- Ecosystem dynamics and resilience
- Remote Sensing and LiDAR Applications
- Biomedical Text Mining and Ontologies
- Wildlife Ecology and Conservation
- Scientific Computing and Data Management
- Data Analysis with R
- Remote Sensing in Agriculture
- Avian ecology and behavior
- Mathematical Biology Tumor Growth
- Insect and Arachnid Ecology and Behavior
University of Florida
2016-2025
Utah State University
2009-2016
Abstract Advances in artificial intelligence for computer vision hold great promise increasing the scales at which ecological systems can be studied. The distribution and behavior of individuals is central to ecology, using deep neural networks learn detect individual objects imagery. However, developing supervised models monitoring challenging because it requires large amounts human‐labeled training data, advanced technical expertise computational infrastructure, prone overfitting. This...
Theory has recognized a combination of niche and neutral processes each contributing, with varying importance, to species coexistence. However, long-term persistence rare been difficult produce in trait-based models coexistence that incorporate stochastic dynamics, raising questions about how persist despite such variability. Following recent evidence may experience significantly different population dynamics than dominant species, we use plant community model simulate the effect...
Abstract Most forecasts for the future state of ecological systems are conducted once and never updated or assessed. As a result, many available not based on most up‐to‐date data, scientific progress forecasting models is slowed by lack feedback how well perform. Iterative near‐term involves repeated daily to annual scale an system as new data becomes regular assessment resulting forecasts. We demonstrate automated iterative ecology can be constructed building one conduct monthly rodent...
Over the past decade, biology has undergone a data revolution in how researchers collect and amount of being collected. An emerging challenge that received limited attention is managing, working with, providing access to under continual active collection. Regularly updated present unique challenges quality assurance control, publication, archiving, reproducibility. We developed workflow for long-term ecological study addresses many associated with managing this type data. do by leveraging...
Abstract Understanding why so many species are rare yet persistent remains a significant challenge for both theoretical and empirical ecologists. Yenni et al. (2012, Ecology , 93, 456–461) proposed that strong negative frequency dependence causes to be while simultaneously buffering them against extinction. This hypothesis predicts that, on average, should experience stronger than common species. However, it is unknown if ecological communities generally show this pattern. We discuss the...
Forecasting the responses of natural populations to environmental change is a key priority in management ecological systems. This challenging because dynamics multi-species communities are influenced by many factors. Populations can exhibit complex, nonlinear change, often over multiple temporal lags. In addition, biotic interactions, and other sources dependence, major contributors patterns population variation. Theory suggests that near-term forecasts abundances be improved modelling these...
The challenges of monitoring wildlife often limits the scales and intensity data that can be collected. New technologies - such as remote sensing using unoccupied aircraft systems (UAS) collect information more quickly, over larger areas, frequently than is feasible ground-based methods. While airborne imaging increasingly used to produce on location counts individuals, its ability individual-based demographic less explored. Repeat imagery generate an time-series provides potential track...
Desert ecosystems have long served as model systems in the study of ecological concepts (e.g., competition, resource pulses, top-down/bottom-up dynamics). However, inherent variability availability deserts, and hence consumer dynamics, can also make them challenging to understand. Study a Chihuahuan desert ecosystem near Portal, Arizona began 1977. At this site, 24 experimental plots were established divided among controls manipulations. Experimental manipulations over years include removal...
Abstract This is a data paper for the Portal Project, long-term ecological study of rodents, plants, and ants located in southeastern Arizona, U.S.A. contains an overview methods information about structure files relational among files. living will be updated with new as major changes or additions are made to data. All - along more detailed collection protocols site archived at: https://doi.org/10.5281/zenodo.1215988 .
For many species, a well documented response to anthropogenic climate change is shift in various aspects of its life history, including timing or phenology. Often, these phenological shifts are associated with changes abiotic factors used as proxies for resource availability other suitable conditions. Resource availability, however, can also be impacted by competition, but the impact competition on phenology less studied than drivers. We fit generalized additive models (GAMs) long-term...
Abstract Ecological forecasting models play an increasingly important role for managing natural resources and assessing our fundamental knowledge of processes driving ecological dynamics. As global environmental change pushes ecosystems beyond their historical conditions, the utility these may depend on transferability to novel conditions. Because species interactions can alter resource use, timing reproduction, other aspects a species' realized niche, changes in biotic which arise from...
Abstract Most forecasts for the future state of ecological systems are conducted once and never updated or assessed. As a result, many available not based on most up-to-date data, scientific progress forecasting models is slowed by lack feedback how well perform. Iterative near-term involves repeated daily to annual scale an system as new data becomes regular assessment resulting forecasts. We demonstrate automated iterative ecology can be constructed building one conduct monthly rodent...
Abstract Data management and publication are core components of the research process. An emerging challenge that has received limited attention in biology is managing, working with, providing access to data under continual active collection. “Evolving data” present unique challenges quality assurance control, publication, archiving, reproducibility. We developed a evolving workflow for long-term ecological study addresses many associated with managing this type data. do by leveraging...
ABSTRACT Ecological forecasting models play an increasingly important role for managing natural resources and assessing our fundamental knowledge of processes driving ecological dynamics. As global environmental change pushes ecosystems beyond their historical conditions, the utility these may depend on transferability to novel conditions. Because species interactions can alter resource use, timing reproduction, other aspects a species’ realized niche, changes in biotic which arise from...
Abstract Understanding why so many species are rare yet persistent remains a significant challenge for both theoretical and empirical ecologists. Yenni, Adler, Ernest (2012) proposed that strong negative frequency dependence causes to be while simultaneously buffering them against extinction. This hypothesis predicts that, on average, should experience stronger than common species. However, it is unknown if ecological communities generally show this pattern, or rarity primarily determined by...