A5101741444- Land Use and Ecosystem Services
- Soil and Water Nutrient Dynamics
- Geographic Information Systems Studies
- Fish Ecology and Management Studies
- Water Quality and Pollution Assessment
- Animal Ecology and Behavior Studies
- Remote Sensing in Agriculture
- Research Data Management Practices
- Ecosystem dynamics and resilience
- Face and Expression Recognition
- Advanced Clustering Algorithms Research
- Yersinia bacterium, plague, ectoparasites research
- Aquatic Ecosystems and Phytoplankton Dynamics
- Machine Learning and Algorithms
- Data Management and Algorithms
- Wildlife Ecology and Conservation
- Hydrological Forecasting Using AI
- Species Distribution and Climate Change
- Machine Learning and Data Classification
- Ecology and Vegetation Dynamics Studies
Institute of Grassland Research
2023
Inner Mongolia Agricultural University
2023
Michigan State University
2015-2019
Trinity College Dublin
2015
Abstract Understanding the factors that affect water quality and ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how will respond to changes not only requires data, but also information about context of individual bodies across broad spatial extents. Because lake usually sampled in limited geographic regions, often for time periods, assessing controls compilation many data sets regions into integrated database. LAGOS-NE accomplishes...
Abstract Climate change can have strong effects on aquatic ecosystems, including disrupting nutrient cycling and mediating processes that affect primary production. Past studies been conducted mostly individual or small groups of making it challenging to predict how future climate will water quality at broad scales. We used a subcontinental‐scale database address three objectives: (1) identify which metrics best lake quality, (2) examine whether influences different productivity measures...
Abstract Ecology has a rich history of studying ecosystem dynamics across time and space that been motivated by both practical management needs the need to develop basic ideas about pattern process in nature. In situations which spatial temporal observations are available, similarities behavior among sites (i.e., synchrony) provide means understanding underlying processes create patterns over time. We used analysis algorithms data spanning 22–25 yr from 601 lakes ask three questions: What...
A regionalization system delineates the geographical landscape into spatially contiguous, homogeneous units for ecology research and applications. In this study, we investigated a quantitative approach developing using constrained clustering algorithms. Unlike conventional clustering, uses domain constraints to help guide process towards finding desirable solution. For region delineation, adjacency relationship between neighboring spatial can be provided as ensure that resulting regions are...
Abstract Understanding broad‐scale ecological patterns and processes often involves accounting for regional‐scale heterogeneity. A common way to do so is include regions in sampling schemes empirical models. However, most existing were developed specific purposes, using a limited set of geospatial features irreproducible methods. Our study purpose was to: (1) describe method that takes advantage recent computational advances increased availability regional global data sets create...
Grazing by large herbivores can potentially affect interspecific interactions between small reducing the ecological fitness of animals. Desert rodents are important components in desert ecosystems and indicators environmental change. reduces food resources, but decrease niche overlap adaptive behavior. However, key factors driving rodent behavioral activities coexistence Alxa remains unstudied. We monitored population density Midday gerbil ( Meriones meridianus ) northern three-toed jerboa...
Predictive modeling of nested geospatial data is a challenging problem as the models must take into account potential interactions among variables defined at different spatial scales. These cross-scale interactions, they are commonly known, particularly important to understand relationships ecological properties macroscales. In this paper, we present novel, multi-level multi-task learning framework for in lake ecology domain. Specifically, consider region-specific predict water quality from...
Regionalization is the task of dividing up a landscape into homogeneous patches with similar properties. Although this has wide range applications, it two notable challenges. First, assumed that resulting regions are both and spatially contiguous. Second, well-recognized landscapes hierarchical such fine-scale nested wholly within broader-scale regions. To address these challenges, first, we develop constrained spectral clustering framework for region delineation incorporates tradeoff...