Adam M. Wilson, Ph.D.

Affiliations: 
University of Connecticut, Storrs, CT, United States 
Area:
Plant community ecology
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"Adam Wilson"

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John A. Silander grad student 2012 University of Connecticut
 (Fire and Climate: the Implications of Global Change in the Cape Floristic Region of South Africa.)
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Publications

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Zarnetske PL, Read QD, Record S, et al. (2019) Towards connecting biodiversity and geodiversity across scales with satellite remote sensing. Global Ecology and Biogeography : a Journal of Macroecology. 28: 548-556
Slingsby JA, Merow C, Aiello-Lammens M, et al. (2017) Intensifying postfire weather and biological invasion drive species loss in a Mediterranean-type biodiversity hotspot. Proceedings of the National Academy of Sciences of the United States of America
Wilson AM, Jetz W. (2016) Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions. Plos Biology. 14: e1002415
Domisch S, Wilson AM, Jetz W. (2016) Model-based integration of observed and expert-based information for assessing the geographic and environmental distribution of freshwater species Ecography
Wilson AM, Likens GE. (2015) Content Volatility of Scientific Topics in Wikipedia: A Cautionary Tale. Plos One. 10: e0134454
Wilson AM, Latimer AM, Silander JA. (2015) Climatic controls on ecosystem resilience: Postfire regeneration in the Cape Floristic Region of South Africa. Proceedings of the National Academy of Sciences of the United States of America. 112: 9058-63
Wilson AM, Latimer AM, Silander JA. (2015) Climatic controls on ecosystem resilience: Postfire regeneration in the Cape Floristic Region of South Africa Proceedings of the National Academy of Sciences of the United States of America. 112: 9058-9063
Parmentier B, Mcgill BJ, Wilson AM, et al. (2015) Using multi-timescale methods and satellite-derived land surface temperature for the interpolation of daily maximum air temperature in Oregon International Journal of Climatology
Allen JM, Terres MA, Katsuki T, et al. (2014) Modeling daily flowering probabilities: expected impact of climate change on Japanese cherry phenology. Global Change Biology. 20: 1251-63
Parmentier B, McGill B, Wilson AM, et al. (2014) An assessment of methods and remote-sensing derived covariates for regional predictions of 1 km daily maximum air temperature Remote Sensing. 6: 8639-8670
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