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.
Professional Experience
2014- Research Scientist and Supervisor, Geosciences and Environmental Change Science Center, USGS, Lakewood, Colorado
2008-2014 Research Scientist, Geosciences and Environmental Change Science Center, USGS, Lakewood, Colorado
2004-2008 Associate Scientist, Illinois Natural History Survey, Champaign, Illinois
1998-2004 Assistant/Associate Professor, San Diego State University, San Diego, California
1995-1998 Postdoctoral research with USGS, University of Miami, Miami, Florida
Education and Certifications
University of Kansas, Ph.D., (Ecology), 1995
Ohio University, BS, (Wildlife Biology), 1989
Science and Products
Data release for Geographic context affects the landscape change and fragmentation caused by wind energy facilities
Data release for the Historical land use and land cover for assessing the northern Colorado Front Range urban landscape
Masticophis occupancy in southern California, 1995-2000
Data release for ecosystem service flows from a migratory species: spatial subsidies of the northern pintail
Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy
TrendPowerTool: A lookup tool for estimating the statistical power of a monitoring program to detect population trends
Editorial: North American monarch butterfly ecology and conservation
Quantifying the contribution of habitats and pathways to a spatially structured population facing environmental change
Learning from real-world experience to understand renewable energy impacts to wildlife
Assessing population-level consequences of anthropogenic stressors for terrestrial wildlife
A continuously updated, geospatially rectified database of utility-scale wind turbines in the United States
Challenges for leveraging citizen science to support statistically robust monitoring programs
Limitations, lack of standardization, and recommended best practices in studies of renewable energy effects on birds and bats
Is the timing, pace and success of the monarch migration associated with sun angle?
Wind energy: An ecological challenge
Challenges for monitoring the extent and land use/cover changes in monarch butterflies’ migratory habitat across the United States and Mexico
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
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Filter Total Items: 16
Data release for Geographic context affects the landscape change and fragmentation caused by wind energy facilities
Wind energy generation causes transformation of landscapes as new roads, pads, and transmission lines are constructed. We mapped, quantified, and analyzed the effects of facilities' geographic context on road networks and changes in landscape patterns by digitizing the footprints of 39 wind facilities and the surrounding land cover using high-resolution imagery of before and after construction. ThData release for the Historical land use and land cover for assessing the northern Colorado Front Range urban landscape
The dataset was generated to describe historical land-use and land-cover (LULC)for the northern Colorado urban Front Range (which includes the cities of Boulder, Fort Collins, Greeley, and Denver) for an area covering approximately 1,023,660 hectares. The Front Range urban landscape is diverse and interspersed with highly productive agriculture as well as natural land cover types including evergreMasticophis occupancy in southern California, 1995-2000
These data are CSV files comprised of a heading and tables from Appendix 1 and Appendix 2 in the accompanying paper. The tables show the sampling dates and locations for the coachwhip (Masticophis flagellum) and striped racer (Masticophis lateralis) in pit-fall arrays (Fisher et al. 2008) monitored in southern California from 1995-2000. GPS data are shown in decimal degrees and were collected in tData release for ecosystem service flows from a migratory species: spatial subsidies of the northern pintail
Migratory species provide important benefits to society, but their cross-border conservation poses serious challenges. By quantifying the economic value of ecosystem services (ES) provided across a species range and ecological data on a species habitat dependence, we estimate spatial subsidieshow different regions support ES provided by a species across its range. We illustrate this method for mig - Maps
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Filter Total Items: 96
Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy
A central challenge in applied ecology is understanding the effect of anthropogenic fatalities on wildlife populations and predicting which populations may be particularly vulnerable and in greatest need of management attention. We used 3 approaches to investigate potential effects of fatalities from collisions with wind turbines on 14 raptor species for both current (106 GW) and anticipated futurAuthorsJames E. Diffendorfer, Jessica C. Stanton, Julie A. Beston, Wayne E. Thogmartin, Scott R. Loss, Todd E. Katzner, Douglas H. Johnson, Richard A. Erickson, Matthew D. Merrill, Margo D. CorumByEcosystems Mission Area, Energy Resources Program, Species Management Research Program, Forest and Rangeland Ecosystem Science Center, Geology, Energy & Minerals Science Center, Geosciences and Environmental Change Science Center, Northern Prairie Wildlife Research Center, Upper Midwest Environmental Sciences CenterTrendPowerTool: A lookup tool for estimating the statistical power of a monitoring program to detect population trends
A simulation-based power analysis can be used to estimate the sample sizes needed for a successful monitoring program, but requires technical expertise and sometimes extensive computing resources. We developed a web-based lookup app, called TrendPowerTool (https://www.usgs.gov/apps/TrendPowerTool/), to provide guidance for ecological monitoring programs when resources are not available for a simulAuthorsEmily L. Weiser, James E. Diffendorfer, Laura Lopez-Hoffman, Darius J. Semmens, Wayne E. ThogmartinEditorial: North American monarch butterfly ecology and conservation
Spanning Canada, the United States, and Mexico, North America contains two populations of the migratory monarch butterfly (Danaus plexippus). The smaller “western” population overwinters in groves along the California coast and breeds west of the Rocky Mountains, while the much larger “eastern” population breeds east of the Rocky Mountains and overwinters in Oyamel fir forests in central Mexico. BAuthorsJames E. Diffendorfer, Wayne E. Thogmartin, Ryan G. Drum, Cheryl SchultzQuantifying the contribution of habitats and pathways to a spatially structured population facing environmental change
The consequences of environmental disturbance and management are difficult to quantify for spatially structured populations because changes in one location carry through to other areas as a result of species movement. We develop a metric, G, for measuring the contribution of a habitat or pathway to network-wide population growth rate in the face of environmental change. This metric is different frAuthorsChristine Sample, Joanna A. Bieri, Benjamin L. Allen, Yulia Dementieva, Alyssa Carson, Connor Higgins, Sadie Piatt, Shirley Qiu, Summer Stafford, Brady J. Mattsson, Darius J. Semmens, James E. Diffendorfer, Wayne E. ThogmartinLearning from real-world experience to understand renewable energy impacts to wildlife
The project team sought to use real-world data to understand adverse effects to wildlife of renewable energy production that is critical to meeting California’s climate and clean energy goals. The project had three main components. First, a systematic literature review studied 20 peer-reviewed publications and 612 reports from other nonreviewed sources from 231 wind and solar facilities in North AAuthorsTara J Conkling, Hannah B. Vander Zanden, Sharon Poessel, Scott R. Loss, Taber D Allison, James E. Diffendorfer, Adam E. Duerr, David M. Nelson, Julie L Yee, Todd E. KatznerAssessing population-level consequences of anthropogenic stressors for terrestrial wildlife
Human activity influences wildlife. However, the ecological and conservation significances of these influences are difficult to predict and depend on their population‐level consequences. This difficulty arises partly because of information gaps, and partly because the data on stressors are usually collected in a count‐based manner (e.g., number of dead animals) that is difficult to translate intoAuthorsTodd E. Katzner, Melissa A. Braham, Tara Conkling, James E. Diffendorfer, Adam E. Duerr, Scott R. Loss, David M. Nelson, Hannah B. Vander Zanden, Julie L. YeeA continuously updated, geospatially rectified database of utility-scale wind turbines in the United States
Nearly 60,000 utility-scale wind turbines are installed in the United States as of July, 2019, representing over 97 gigawatts of electric power capacity; US wind turbine installations continue to grow at a rapid pace. Yet, until April 2018, no publicly-available, regularly updated data source existed to describe those turbines and their locations. Under a cooperative research and development agreeAuthorsJoesph Rand, Louisa A. Kramer, Christopher P. Garrity, Ben Hoen, James E. Diffendorfer, Hannah Hunt, Michael SpearsChallenges for leveraging citizen science to support statistically robust monitoring programs
Large samples and long time series are often needed for effective broad-scale monitoring of status and trends in wild populations. Obtaining those sample sizes can be more feasible when volunteers contribute to the dataset, but volunteer-selected sites are not always representative of a population. Previous work to account for biased site selection has relied on knowledge of covariates to explainAuthorsEmily L. Weiser, James E. Diffendorfer, Laura Lopez-Hoffman, Darius J. Semmens, Wayne E. ThogmartinLimitations, lack of standardization, and recommended best practices in studies of renewable energy effects on birds and bats
Increasing global energy demand is fostering the development of renewable energy as an alternative to fossil fuels. However, renewable energy facilities may adversely affect wildlife. Facility siting guidelines recommend or require project developers complete pre‐ and postconstruction wildlife surveys to predict risk and estimate effects of proposed projects. Despite this, there are no published sAuthorsTara Conkling, S. R. Loss, James E. Diffendorfer, A. Duerr, Todd E. KatznerIs the timing, pace and success of the monarch migration associated with sun angle?
A basic question concerning the monarch butterfly’s fall migration is which monarchs succeed in reaching overwintering sites in Mexico, which fail—and why. We document the timing and pace of the fall migration, ask whether the sun’s position in the sky is associated with the pace of the migration, and whether timing affects success in completing the migration. Using data from the Monarch Watch tagAuthorsOrley R. Taylor, James P Lovett, David L Gibo, Emily L. Weiser, Wayne E. Thogmartin, Darius J. Semmens, James E. Diffendorfer, John M. Pleasants, Samuel Pecoraro, Ralph GrundelWind energy: An ecological challenge
No abstract available.AuthorsTodd E. Katzner, David M. Nelson, Jay E. Diffendorfer, Adam E. Duerr, Caitlin J. Campbell, Douglas Leslie, Hanna B. Vander Zanden, Julie L. Yee, Maitreyi Sur, Manuela M. Huso, Melissa A. Braham, Michael L. Morrison, Scott R. Loss, Sharon Poessel, Tara Conkling, Tricia A. MillerChallenges for monitoring the extent and land use/cover changes in monarch butterflies’ migratory habitat across the United States and Mexico
This paper presents a synopsis of the challenges and limitations presented by existing and emerging land use/ land cover (LULC) digital data sets when used to analyze the extent, habitat quality, and LULC changes of the monarch (Danaus plexippus) migratory habitat across the United States of America (US) and Mexico. First, the characteristics, state of the knowledge, and issues related to this habAuthorsRafael Moreno-Sanchez, James Raines, James E. Diffendorfer, Mark A. Drummond, Jessica MankoNon-USGS Publications**
Lips, K.A., Diffendorfer, J.E., Mendelson J.R., and Sears, M.W., 2008, Riding the wave: reconciling the role of disease and climate change in amphibian declines: Public Library of Science Biology, v.6, issue 3: e72. doi:10.1371/journal.pbio.0060072.Sears, M.W., Diffendorfer, J.E., Lips, K.A., and Mendelson, J.R., 2008, Amphibian declines and issues of inference: response to Parmesan and Singer. Public Library of Science Biology.Kelly, A.C., Mateus-Pinilla, N.E., Diffendorfer, J.E., Jewell, E., Ruiz, M.O., Killefer, J., Shelton, P., Beissel, T., and Novakofski, J., 2008, Prion sequence polymorphisms and chronic wasting disease resistance in Illinois white-tailed deer (Odocoileus virginianus): Prion, v. 2, p. 1-9.Diffendorfer, J.E., Fleming, G.M., Duggan, J.M., Chapman, R.E., Rahn, M.E., Mitrovitch, M.J., and Fisher, R.N., 2007, Developing terrestrial, multi-taxon indices of biological integrity: An example from coastal sage scrub: Biological Conservation, v. 140, p. 130-141.Diffendorfer, J.E., Spencer, W.S., Tremor, S., and Beyers, J., 2007, Effects of fire severity and distance from unburned edge on mammalian community post-fire recovery: Final Report for project 04-2-1-94 to the Joint Fire Sciences Program: 37 p.Mateus-Pinilla, N.E., Novakofski, J.E., Kelly, A., Diffendorfer, J.E., Pinkerton, M., Whittington, J.K., and Ruiz, M., 2007, W-146-R-02 Annual federal aid performance report, wildlife and chronic wasting disease surveillance: Illinois Department of Natural Resources, 19p.Mateus-Pinilla, N.E., Novakofski, J.E., Kelly, A., Diffendorfer, J.E., Pinkerton, M., Whittington, J.K., and Ruiz, M., 2006, W-146-R-01 Annual Federal Aid Performance Report, wildlife and chronic wasting disease surveillance: Illinois Department of Natural Resources, 34p.Mateus-Pinilla, N.E., Novakofski, J.E., Diffendorfer, J.E., Killefer, J., 2006, Genetic relatedness and gene flow of white-tailed deer (Odocoileus virginianus) in the chronic wasting disease prevalent region of Illinois: Illinois Department of Natural Resources and International Association of Fish and Wildlife Agencies (IAFWA).Rahn, M.E., Doremus, H., and Diffendorfer, J.E., 2006, Species coverage in multispecies habitat conservation plans: Where's the science? BioScience, v. 56, p. 613-619.Mendelson, J.R., Lips, K.R., Gagliardo, R.W., Rabb, G. B., Collins, J.P., Diffendorfer, J.E., Daszak, P., D Ibáñez, R., Zippel, K.C., Lawson, D.P., Wright, K.M., Stuart, S.N., Gascon, C., da Silva, H.R., Burrowes, P.A., Joglar, R.L., La Marca, E., Lötters, S., du Preez, L.H., Weldon, C., Hyatt, A., Rodriguez-Mahecha, J.V., Hunt, S., Robertson, H. Lock, B., Raxworthy, C.J., Frost, D.R., Lacy, R.C., Alford, R.A., Campbell, J.A., Parra-Olea, G. Bolaños, F, Domingo, J.J.C., Halliday, T., Murphy, J.B., Wake, M.H., Coloma, L.A., Kuzmin, S.L., Price, M.S., Howell, K.M., Lau, M., Pethiyagoda, R., Boone, M., Lannoo, M. J., Blaustein, A. R., Dobson, A., Griffiths, R.A., Wake, D.B., Brodie Jr E.D., 2006, Confronting amphibian declines and extinctions: Science, v. 313, 48 p.Mendelson, J.R., Lips, K.R., Diffendorfer, J.E., Gagliardo, R.W., Rabb, G.B., Collins, J.P., , Daszak, P., Ibáñez, R., Zippel, K.C., Stuart, S.N., Gascon, C., da Silva, Burrowes, P.A., Lacy, R.C., Bolaños, F, Coloma, L.A., Wright, K.M., Wake, D. B. 2006. Response to: Pounds et al.: responding to amphibian loss: Science, v. 314, p. 1541-1542.Diffendorfer, J.E., Rochester, C., Fisher, R.N., and Brown, T.K., 2005, Movement and space use by coastal rosy boas (Lichanura trivirgata roseofusca) in Coastal Southern California: Journal of Herpetology, v. 39, p. 24-36.Morris, D.W., Diffendorfer, J.E., and Lundberg, P., 2004, Dispersal among habitats varying in fitness: reciprocating migration through ideal habitat selection: Oikos, v. 107, p. 559-575.Morris D.W., and Diffendorfer, J.E., 2004, Reciprocating dispersal by habitat-selecting white-footed mice: Oikos v. 107, p. 549-558.Diffendorfer, J.E., and Doherty P.F., 2004, Lifting Cassandra's curse: Conservation Biology v. 18, p. 600.Diffendorfer, J.E., Fleming G.M., Duggan, J., Chapman R., Hogan, D., 2004, Final report for creating and index of biological integrity for coastal sage scrub: A tool for habitat quality assessment and monitoring: Prepared for California Department of Fish and Game. 248 p.Gaines, M.S., Sasso, C.R., Diffendorfer, J.E., and Beck, H., 2003, Effects of tree island size and water on the population dynamics of small mammals in the Everglades: in van der Valk, A., and Sklar, F., ed., Tree Islands of the Everglades: Kluwer Academic.Betzler, J., Diffendorfer, J.E., Fleury, S., Hawke, M., Klein, M., Morrison, S., Nichols, G., Oberbauer, T., Rochester, C., Webb, M., and Williams, K., 2003, A summary of affected flora and fauna in the San Diego County fires of 2003: Burned Area Emergency Response (BAER) Program Reports, 36 p. + Appendices.Diffendorfer, J.E. and Deutschman D.D., 2003, Monitoring the Stephen’s kangaroo rat: An analysis of monitoring methods and recommendations for future monitoring. Prepared for the United States Fish and Wildlife Service, 51 p.Diffendorfer, J.E. Chapman, R.E., Duggan, J.M., Fleming G.M., Mitrovitch M., Rahn M.E., and Rosario, R. del., 2002, Coastal Sage Scrub response to disturbance: A literature review and annotated bibliography. Prepared for the California Department of Fish and Game, 87 p.Diffendorfer, J.E. and Rosario, R. del., 2002, Assessing habitat quality and disturbance in Coastal Sage Scrub using an index of biological integrity: Prepared for California Department of Fish and Game, 29 p.Diffendorfer, J.E., Chapman, R.E., Duggan, J.M., Fleming, G.M., 2002, An analysis of monitoring data in light of small mammal, plant, and bird responses to disturbance in CSS and the development of an Index of Biological Integrity: Prepared for the California Department of Fish and Game, 33 p.Diffendorfer, J.E., and Slade, N.S., 2002, Long-distance movements in Cotton Rats (Sigmodon hispidus) and Prairie Voles (Microtus ochrogaster) in Northeastern Kansas: American Midland Naturalist, v. 148, p. 309-319.Diffendorfer, J.E., Richards, P.M., Dalrymple, G.H., and DeAngelis, D.L., 2001, Applying linear programming to estimate fluxes in ecosystems or food webs: an example from the herpetological assemblages of freshwater Everglades: Ecological Modeling, v. 144, p. 99-120.Noss R., Allen E., Ballmer, G., Diffendorfer, J.E., Soulé M., Tracy R., and Webb R., 2001, Independent science advisors review: Coachella Valley multiple species habitat conservation plan/natural communities conservation plan (MSHCP/NCCP): Prepared for the United States Fish and Wildlife Service and the California Department of Fish and Game, 53 p.Rochester, C.J., Diffendorfer, J.E., and Fisher, R.N., 2001, Natural history of the Rosy Boa (Charina trivirgata): Prepared for U.S. Geological Survey-Species at Risk Technical Report. 71p.Schweiger, E.W., Diffendorfer, J.E., Holt, R.D., Pierotti, R., and Gaines, M.S., 2000, The interaction of habitat fragmentation plant, and small mammal succession in an old field: Ecological Monographs, v. 70, p. 383-400.Diffendorfer, J.E., Gaines, M.S., and Holt, R.D., 1999, Patterns and impacts of movements at different scales on small mammals: in Barrett, G.W., and Peles, J., eds., The landscape ecology of small mammals: New York, Springer-Verlag, p. 63-88.Schweiger, E.W., Diffendorfer, J.E., Pierotti, R., and Holt, R.D., 1999, The relative importance of small-scale and landscape-level heterogeneity in structuring small mammal distribution: in Barrett, G.W., and Peles, J.D., ed., landscape ecology of small mammals: Springer-Verlag New York, Inc., p. 175-207.Diffendorfer, J.E., 1998, Testing models of source-sink dynamics and balanced dispersal: Oikos, v. 81, p. 417-433.Gaines, M.S., Diffendorfer, J.E., and Lind, L., 1998, The effects of high water on small mammal populations inhabiting hammock islands in Everglades National Park: in Ecological assessment of the 1994-1995 high water conditions in the southern Everglades, National Park Service.Bassett, A., DeAngelis, D.L., and Diffendorfer, J.E., 1997, The effect of functional response on stability of a grazer population on a landscape: Ecological Modelling, v. 101, p. 153-162.Gaines, M.S., Diffendorfer, J.E., Tamarin, R.H., and Whittam, T.S., 1997, The effects of habitat fragmentation on the genetic structure of small mammal populations: Journal of Heredity, v. 88, p. 294-304.Diffendorfer, J.E., Holt, R.D., Slade, N.A., and Gaines, M.S., 1996, Small mammal community patterns in old fields; distinguishing site-specific from regional processes: in Cody, M.L., and Smallwood, J.A., eds., Long-term studies of vertebrate communities: San Diego, CA, Academic Press.Diffendorfer, J.E., Gaines, M.S. and Holt, R.D., 1995, Habitat fragmentation and the movements of three small mammals (Sigmodon hispidus, Microtus ochrogaster, and Peromyscus maniculatus): Ecology, v. 76, p. 837-839.Diffendorfer, J.E., Slade, N.A., Gaines, M.S., and Holt, R.D., 1995, Population dynamics of small mammals in fragmented and continuous old-field habitat: in Lidicker, W.Z., ed., Landscape approaches in mammalian ecology and conservation: Minneapolis, USA, University of Minnesota Press, p. 175-199.Diffendorfer, J.E., 1995, The spatial ecology of small mammals in old fields: a study of movement, demography and community structure in a fragmented landscape: University of Kansas, Ph.D. dissertation, 202 p.Gaines, M.S., Diffendorfer, J.E., Foster, J., Wray, F.P., and Holt, R.D., 1994, The effects of habitat fragmentation on populations of three species of small mammals in Eastern Kansas: Polish Ecological Studies, v. 20, p. 163-175.Holt, R.D., Debinski, D.M., Diffendorfer, J.E., Gaines, M.S., and Martinko, E.A., 1994, Perspectives from an experimental study of habitat fragmentation in an agroecosystem: in Glen, D.M., Greaves, M.P., and Anderson, H.M., eds., Ecology and Integrated Farming Systems: New York, Wiley and Sons.Gaines, M.S., and Diffendorfer, J.E., 1992. Physiological plasticity of electromorphs of blood proteins in free-ranging Microtus ochrogaster: a second look: Ecology, v. 73, p. 1915-1917.Gaines, M.S., Foster, J., Diffendorfer, J.E., Sera, W.E., Holt, R.D., and Robinson, G.R., 1992, Population processes and biological diversity: Transactions of the North American Wildlife and Natural Resource Conference, v. 57, p. 252-262.Gaines, M.S., Robinson, G.R., Diffendorfer, J.E., Holt, R.D., and Johnson, M.L., 1992, The effects of habitat fragmentation on small mammal populations: in McCullough, D.R., and Barret, R.H., eds., Wildlife 2001: Populations: London, Elsevier Applied Science, p. 875-885.Kelly, A., Mateus-Pinilla, N.E., Beissel, T., Diffendorfer, J.E., Killefer, J., Novakofski, J., Shelton, P., 2007, Development of a panel of microsatellite markers for the assessment of genetic structure in white-tailed deer in Northern Illinois and Southern Wisconsin: Journal of neuropathology and experimental neurology, 66:433.Schweiger, E.W., Diffendorfer, J.E., Pierotti, R., Holt, R.D., 1999, The relative importance of small-scale and level heterogeneity in structuring small mammal distribution, in Barrett, G.W., and Peles, J.D., ed., Landscape ecology of small mammals: Springer-Verlag New York, Inc., 175-207.**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
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