dan pendleton

Dan Pendleton, Ph.D.

Research Scientist,
Species Distribution Modeling, Population Ecology, Satellite Remote Sensing
Spatial Ecology, Mapping, and Assessment (EcoMap)

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., is a quantitative ecologist who is motivated by the desire conduct science that will inform resource management decisions and advance the conservation status of marine mammals. Dan applies modern statistical methods to address contemporary challenges facing marine mammals, their ecology, and the effects of climate change. Dan collaborates with oceanographers, field biologists, and resource managers. He specializes in climate change, hindcasting and forecasting species distributions, understanding and predicting the dynamics of predators and prey abundance (e.g., whales and zooplankton), measuring phenological shifts, and assessing risks to marine mammals from human activities.

  1. Select Publications

    Pershing AJ, Pendleton DE (2021). Can Right Whales Out-Swim Climate Change? Can We? Oceanography 34:19–21. https://doi.org/10.5670/oceanog.2021.315

    Ross CH, Pendleton DE, Tupper B, Brickman D, Zani MA, Mayo CA, Record NR (2021). Projecting regions of North Atlantic right whale, Eubalaena glacialis, habitat suitability in the Gulf of Maine for the year 2050. Elementa: Science of the Anthropocene 9:00058. https://doi.org/10.1525/elementa.2020.20.00058

    Pershing AJ, et al. (2021). Climate impacts on the Gulf of Maine ecosystem. Elementa: Science of the Anthropocene 9:00076. https://doi.org/10.1525/elementa.2020.00076

    Pendleton DE, Holmes EE, Redfern J, Zhang J (2020). Using modelled prey to predict the  distribution of a highly mobile marine mammal. Diversity and Distributions 26:1612–1626. https://doi.org/10.1111/ddi.13149

    Pendleton DE, O’Brien O, Ganley L, McKenna K, Redfern J (2020). Large whale Habitat Use in Southern New England Wind Energy Areas: Demographic Analysis, Abundance Estimation, and Species Distribution Modeling. Report to the Massachusetts Clean Energy Center.

    Record NR, Runge J, Pendleton DE, et al. (2019). Rapid Climate-Driven Circulation Changes Threaten Conservation of Endangered North Atlantic Right Whales. Oceanography 32:162–169. https://doi.org/10.5670/oceanog.2019.201

    Staudinger MD, et al. (2019). It’s about time: A synthesis of changing phenology in the Gulf of Maine ecosystem. Fish Oceanography 28:532–566. https://doi.org/10.1111/fog.12429

    Lettrich et al. (2019) A Method for Assessing the Vulnerability of Marine Mammals to a Changing Climate. NOAA Tech. Memo. NMFS- F/SPO-196, 73 p. 80.

    Jin M, Popova EE, Zhang J, Ji R., Pendleton DE, 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. https://doi.org/ 10.1002/2015JC011183

    Laist DW, Knowlton AR and Pendleton DE (2014). Effectiveness of mandatory vessel speed  limits for protecting North Atlantic right whales. Endangered Species Research 23:143–147. https://doi.org/10.3354/esr00586

    Pantel JP, Pendleton DE, 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. https://26eozm3pi7h31qn8sh36ytwx-wpengine.netdna-ssl.com/wp-content/uploads/ecodas9_119.pdf

    Hampton SE, Holmes EE, Scheef LP, Scheuerell MD, Katz SL, Pendleton DE and Ward EJ (2013). Quantifying effects of abiotic and biotic drivers on community dynamics with multivariate autoregressive (MAR) models. Ecology 94:2663–2669. https://doi-org.ezproxy.lib.umb.edu/10.1890/13-0996.1

    Scheef LP, Pendleton DE, Hampton SE, Katz SL, Holmes EE, Scheuerell MD, Johns DG (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. https://doi.org/10.4319/lom.2012.10.54

    Pendleton DE, Sullivan PJ, Brown MW, Cole TVN, Good CP, Mayo CA, Monger BC, Phillips S, Record NR and Pershing AJ (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 https://doi.org/10.3354/esr00433

    Pendleton DE, Pershing AJ, Brown MW, Mayo CA, Kenney RD, Record NR and Cole TVN (2009).  Regional-scale mean copepod concentration indicates relative abundance of North Atlantic right whales. Marine Ecology Progress Series 378:211–225. https://doi.org/10.3354/meps07832

    Pershing AJ, Record NR, Monger BC, Pendleton DE and Woodard LA (2009) Model-based estimates of Calanus finmarchicus abundance in the Gulf of Maine. Marine Ecology Progress Series 378:227–243. https://doi.org/ 10.3354/meps07828

    Pershing AJ, Record NR, Monger BC, Mayo CA, Brown MW, Cole TVN, Kenney RD, Pendleton DE and Woodard LA (2009). Model-based estimates of right whale habitat use in the Gulf of Maine. Marine Ecology Progress Series 378:245–257. https://doi.org/10.3354/meps07829

    Wilson C, et al. (2009). Remote Sensing Applications to Marine Resource Management. International Ocean Colour Coordinating Group Report 8

    Pendleton DE, 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. https://journals.aps.org/pre/abstract/10.1103/PhysRevE.72.041306

     

  2. Affiliations

    1. Research Faculty, School for the Environment, University of Massachusetts, Boston.