Jay Diffendorfer
I'm an applied ecologist working at the Geosciences and Environmental Change Science Center.
Trained as an ecologist, I originally worked on spatial ecology and conservation biology, including a USGS-funded post doc at University of Miami modelling reptile and amphibian responses to possible restoration scenarios in the Everglades. I then worked as an assistant and full professor at San Diego State University, studying relationships between urbanization, fire, and invasive species on a native flora and fauna in southern California. This field-oriented research involved radiotelemetry, capture-recapture, and vegetation studies. I left San Diego State University and spent 4 years at the Illinois Natural History Survey where my research began to expand into disease ecology and agro-ecosystems. Since arriving at USGS in 2008, I have continued to expand my research focus and currently work on science related to the energy-environment nexus, ecosystem services, and applied ecology.
Science and Products
Solar Energy
The United States Large-Scale Solar Photovoltaic Database (USPVDB) provides the locations and array boundaries of U.S. ground-mounted photovoltaic (PV) facilities with capacity of 1 megawatt or more. It includes corresponding PV facility information, including panel type, site type, and initial year of operation. The creation of this database was jointly funded by the U.S. Department of Energy...
Reducing Wildfire Risk While Maintaining Critical Monarch Habitat Along the California Coast
The California Coast has hundreds of tree groves where dual management practices aim to reduce the risk of fire and to conserve habitat for overwintering monarch butterflies. As the climate changes, longer high-intensity droughts can increase mortality and/or limb loss in grove trees which causes an accumulation of fire-prone fuels. Moreover, these trees provide the critical habitat for
Translational science for renewable energy and its wildlife concerns: a synthesis of wind energy buildout, bat population ecology, and habitat constraints
Wind energy is poised for rapid growth over the next 2-3 decades yet fatalities to birds and bats is a leading concern that may constrain wind energy development in the US. This working group will integrate wind energy forecasting models with bat ecological models and management policy considerations to transform our ability to understand and manage renewable energy development while...
Quantifying landcover drivers of urban extreme heat by generating nationwide and city-specific analytical models
We synthesize local high-resolution urban landcover imagery with microclimate data and regional meteorology to determine landcover drivers of extreme urban heat. Resulting outputs are mappable items spatially describing urban temperatures at fine scales, and a web application to analyze changes in urban heat under different climate scenarios.
Land Change Science
Land cover change is one of the fundamental measures for understanding pressures on ecosystems and is widely used to understand the consequences to biodiversity and ecosystem services. This study utilizes land cover and other associated socioeconomic and environmental data to examine the consequences of land cover change in human-dominated landscapes, and how provisioning of ecosystem services...
Using Jupyter Notebooks to tell data stories and create reproducible workflows
Increasingly, USGS scientists seek to share and collaborate while working on data and code. Furthermore, these scientists often require advanced computing resources. Jupyter Notebooks are one such tool for creating these workflows. The files are interactive, code “notebooks” which allow users to combine code and text in one document, enabling scientists to share the stories held within...
Science and Products
Solar Energy
The United States Large-Scale Solar Photovoltaic Database (USPVDB) provides the locations and array boundaries of U.S. ground-mounted photovoltaic (PV) facilities with capacity of 1 megawatt or more. It includes corresponding PV facility information, including panel type, site type, and initial year of operation. The creation of this database was jointly funded by the U.S. Department of Energy...
Reducing Wildfire Risk While Maintaining Critical Monarch Habitat Along the California Coast
The California Coast has hundreds of tree groves where dual management practices aim to reduce the risk of fire and to conserve habitat for overwintering monarch butterflies. As the climate changes, longer high-intensity droughts can increase mortality and/or limb loss in grove trees which causes an accumulation of fire-prone fuels. Moreover, these trees provide the critical habitat for
Translational science for renewable energy and its wildlife concerns: a synthesis of wind energy buildout, bat population ecology, and habitat constraints
Wind energy is poised for rapid growth over the next 2-3 decades yet fatalities to birds and bats is a leading concern that may constrain wind energy development in the US. This working group will integrate wind energy forecasting models with bat ecological models and management policy considerations to transform our ability to understand and manage renewable energy development while...
Quantifying landcover drivers of urban extreme heat by generating nationwide and city-specific analytical models
We synthesize local high-resolution urban landcover imagery with microclimate data and regional meteorology to determine landcover drivers of extreme urban heat. Resulting outputs are mappable items spatially describing urban temperatures at fine scales, and a web application to analyze changes in urban heat under different climate scenarios.
Land Change Science
Land cover change is one of the fundamental measures for understanding pressures on ecosystems and is widely used to understand the consequences to biodiversity and ecosystem services. This study utilizes land cover and other associated socioeconomic and environmental data to examine the consequences of land cover change in human-dominated landscapes, and how provisioning of ecosystem services...
Using Jupyter Notebooks to tell data stories and create reproducible workflows
Increasingly, USGS scientists seek to share and collaborate while working on data and code. Furthermore, these scientists often require advanced computing resources. Jupyter Notebooks are one such tool for creating these workflows. The files are interactive, code “notebooks” which allow users to combine code and text in one document, enabling scientists to share the stories held within...