dan pendleton

Dan Pendleton, Ph.D.

Research Scientist
Species Distribution Modeling, Population Ecology, Satellite Remote Sensing

T: 617-226-2279
dpendleton@neaq.org

 

Education

Ph.D., Natural Resources, Cornell University, 2010
M.S., Soil and Crop Sciences, Cornell University, 2003
B.S., Mathematics, Minnesota State University, Mankato, 1999

About

Dan Pendleton, Ph.D., specializes in using data from earth-orbiting satellites and ocean models to answer contemporary questions in marine mammal ecology and conservation. He began doing marine mammal surveys with the New England Aquarium in 2006. After finishing his Ph.D. and working as a postdoctoral associate at the National Oceanic and Atmospheric Administration, he rejoined the Aquarium team in 2012 to pursue the development of habitat models for baleen whales and other marine mammals.

Dan strives to produce quantitative tools that inform resource management decisions and advance the conservation status of marine mammals. Toward this end, Dan collaborates with oceanographers and field biologists, applying novel methods geared toward improving our understanding of the environmental factors that determine the spatio-temporal distributions of marine mammals. His research is focused on hindcasting and predicting the timing and extent of habitat use, and estimating the influence of climate change on marine mammal populations.

  1. Select Publications

    Jin, M., Popova, E.E., Zhang, J., Ji, R., Pendleton, D.E., Varpe, Ø., Yool, A. (2016) Ecosystem model intercomparison of total and under under-ice primary production in the Arctic Ocean. Journal of Geophysical Research Oceans, 121:934–948. doi.org/10.1002/2015JC011183

    Pantel, J.P., Pendleton, D.E., Walters, A. and Rogers, L. (2014) Linking environmental variability to population and community dynamics. American Society for Limnology and Oceanography e-book chapter. Eco-DAS IX p119–131. pubs.er.usgs.gov/publication/70174142

    Laist, D.W., Knowlton, A.R. and Pendleton, D.E. (2014). Effectiveness of mandatory vessel speed limits for protecting North Atlantic right whales. Endangered Species Research 23:143–147. doi.org/10.3354/esr00586

    Hampton, S.E., Holmes, E.E., Scheef, L.P., Scheuerell, M.D., Katz, S.L., Pendleton, D.E. and Ward, E.J. (2013). Quantifying effects of abiotic and biotic drivers on community dynamics with multivariate autoregressive (MAR) models. Ecology 94:2663–2669. doi.org/10.1890/13-0996.1

    Scheef, L.P., Pendleton, D.E., Hampton S.E., Katz, S.L., Holmes, E.E., Scheuerell, M.D., Johns, D.G. (2012). Assessing marine plankton community structure from long-term monitoring data with multivariate autoregressive (MAR) models: a comparison of fixed station versus spatially distributed sampling data. Limnology & Oceanography: Methods 10:54–64. doi.org/10.4319/lom.2012.10.54

    Pendleton, D.E., Sullivan, P.J., Brown, M.W., Cole, T.V.N., Good, C.P., Mayo, C.A., Monger, B.C., Phillips, S., Record, N.R. and Pershing, A.J. (2012). Weekly predictions of North Atlantic right whale Eubalaena glacialis habitat reveal influence of prey abundance and seasonality of habitat preferences. Endangered Species Research 18:147–161. doi.org/10.3354/esr00433

    Pendleton, D.E., Pershing, A.J., Brown, M.W., Mayo, C.A., Kenney, R.D., Record, N. R. and Cole, T.V.N. (2009). Regional-scale mean copepod concentration indicates relative abundance of North Atlantic right whales. Marine Ecology Progress Series 378:211–225.  doi.org/10.3354/meps07832

    Pershing, A.J., Record, N.R., Monger, B.C., Pendleton, D.E. and Woodard, L.A. (2009). Model-based estimates of Calanus finmarchicus abundance in the Gulf of Maine. Marine Ecology Progress Series 378:227–243. doi.org/10.3354/meps07828

    Pershing, A.J., Record, N. R., Monger, B.C., Mayo, C.A., Brown, M.W., Cole, T.V.N., Kenney, R.D., Pendleton, D.E. and Woodard, L.A. (2009). Model-based estimates of right whale habitat use in the Gulf of Maine. Marine Ecology Progress Series 378:245–257. doi.org/10.3354/meps07829

    Pendleton, D.E., Dathe, A. and Baveye, P. (2005). Influence of image resolution and evaluation algorithm on estimates of the lacunarity of porous media. Physical Review E 72:041306. doi.org/10.1103/PhysRevE.72.041306

  2. Affiliations