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Browsing by Author "Merow, Cory"

Browsing by Author "Merow, Cory"

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  • Advancing population ecology with integral projection models: a practical guide 
    Merow, Cory; Dahlgren, Johan P.; Metcalf, C. J.; Childs, Dylan Z.; Evans, Margaret E. K.; Jongejans, Eelke; Record, Sydne; Rees, Mark; Salguero-Gómez, Roberto; McMahon, Sean M. (2014)
    * Integral projection models (IPMs) use information on how an individual's state influences its vital rates survival, growth and reproduction to make population projections. IPMs are constructed from regression ...
  • A comparison of Maxlike and Maxent for modelling species distributions 
    Merow, Cory; Silander, John A. (2014)
    * Understanding species spatial occurrence patterns and their environmental dependence is one of the fundamental goals in ecology and evolution. Often, occurrence models are built with presence-only data because absence ...
  • Does probability of occurrence relate to population dynamics? 
    Thuiller, Wilfried; Münkemüller, Tamara; Schiffers, Katja H.; Georges, Damien; Dullinger, Stefan; Eckhart, Vincent M.; Edwards, Thomas C.; Gravel, Dominique; Kunstler, Georges; Merow, Cory; Moore, Kara; Piedallu, Christian; Vissault, Steve; Zimmermann, Niklaus E.; Zurell, Damaris; Schurr, Frank M. (2014)
    Hutchinson defined species' realized niche as the set of environmental conditions in which populations can persist in the presence of competitors. In terms of demography, the realized niche corresponds to the environments ...
  • On using integral projection models to generate demographically driven predictions of species' distributions: development and validation using sparse data 
    Merow, Cory; Latimer, Andrew M.; Wilson, Adam M.; McMahon, Sean M.; Rebelo, Anthony G.; Silander, John A., Jr. (2014)
    Knowledge of species' geographic distributions is critical for understanding and forecasting population dynamics, responses to environmental change, biodiversity patterns, and conservation planning. While many suggestive ...
  • Speeding Up Ecological and Evolutionary Computations in R; Essentials of High Performance Computing for Biologists 
    Visser, Marco D.; McMahon, Sean M.; Merow, Cory; Dixon, Philip M.; Record, Sydne; Jongejans, Eelke (2015)
    Computation has become a critical component of research in biology. A risk has emerged that computational and programming challenges may limit research scope, depth, and quality. We review various solutions to common ...
  • What do we gain from simplicity versus complexity in species distribution models? 
    Merow, Cory; Smith, Mathew J.; Edwards, Thomas C.; Guisan, Antoine; McMahon, Sean M.; Normand, Signe; Thuiller, Wilfried; Wüest, Rafael O.; Zimmermann, Niklaus E.; Elith, Jane (2014)
    Species distribution models (SDMs) are widely used to explain and predict species ranges and environmental niches. They are most commonly constructed by inferring species' occurrence environment relationships using ...

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