The Spatial Ecology for Working Lands Laboratory leads research in spatial ecology within agricultural systems. We use data-driven methods to study ecological processes across various landscapes and scales.

We gather data using advanced methods like drone and satellite imagery, integrating it with field measurements, geospatial tools, and statistical models to directly enhance land management practices, boost sustainable agricultural productivity, and build resilience to environmental challenges. 

Our research leverages process-based models, learning models, and information systems to analyze the data, assess risks, adapt management strategies, and measure the impact of decisions specifically on the ecological and economic outcomes of working lands.

Through spatial and temporal analysis, we deepen our understanding of cropland, pastureland, and rangeland ecosystems to support sustainable land management. Our work helps land managers, agencies, and policymakers manage risk, maintain productivity, adapt management practices, and support conservation planning.