Journal ArticleDOI
Applications of species distribution modeling to paleobiology
Jens-Christian Svenning,Camilla Fløjgaard,Katharine A. Marske,David Nogués-Bravo,Signe Normand +4 more
Reads0
Chats0
TLDR
The SDM approach offers important opportunities for advances in paleobiology by providing a quantitative ecological perspective, and also offers the potential for an enhanced contribution of paleo- and neobiology to ecology and conservation biology, e.g., for estimating climate change impacts and for informing ecological restoration.About:
This article is published in Quaternary Science Reviews.The article was published on 2011-10-01. It has received 262 citations till now.read more
Citations
More filters
Journal ArticleDOI
An Atlas of Past and Present Pollen Maps for Europe: 0-13000 Years Ago, and The Overlay Maps.
Journal ArticleDOI
Is my species distribution model fit for purpose? Matching data and models to applications
Gurutzeta Guillera-Arroita,José J. Lahoz-Monfort,Jane Elith,Ascelin Gordon,Heini Kujala,Pia E. Lentini,Michael A. McCarthy,Reid Tingley,Brendan A. Wintle +8 more
TL;DR: In this paper, the authors synthesize current knowledge and provide a simple framework that summarizes how interactions between data type and the sampling process determine the quantity that is estimated by a species distribution model.
Book
Habitat Suitability and Distribution Models
TL;DR: In this article, the authors introduce the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity, including the main theory behind ecological niches and species distributions.
Journal ArticleDOI
What do we gain from simplicity versus complexity in species distribution models
Cory Merow,Cory Merow,Cory Merow,Matthew J. Smith,Thomas C. Edwards,Antoine Guisan,Sean M. McMahon,Signe Normand,Wilfried Thuiller,Wilfried Thuiller,Rafael O. Wüest,Rafael O. Wüest,Niklaus E. Zimmermann,Jane Elith +13 more
TL;DR: It is argued for a more pragmatic approach: researchers should constrain the complexity of their models based on study objective, attributes of the data, and an understanding of how these interact with the underlying biological processes.
Journal ArticleDOI
ENVIREM: an expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling
TL;DR: The ENVIREM dataset as discussed by the authors is a set of 16 climatic and two topographic variables in the literature, which are likely to have direct relevance to ecological or physiological processes determining species distributions.
References
More filters
Journal ArticleDOI
Maximum entropy modeling of species geographic distributions
TL;DR: In this paper, the use of the maximum entropy method (Maxent) for modeling species geographic distributions with presence-only data was introduced, which is a general-purpose machine learning method with a simple and precise mathematical formulation.
Journal ArticleDOI
Novel methods improve prediction of species' distributions from occurrence data
Jane Elith,Catherine H. Graham,Robert P. Anderson,Miroslav Dudík,Simon Ferrier,Antoine Guisan,Robert J. Hijmans,Falk Huettmann,John R. Leathwick,Anthony Lehmann,Jin Li,Lúcia G. Lohmann,Bette A. Loiselle,Glenn Manion,Craig Moritz,Miguel Nakamura,Yoshinori Nakazawa,Jacob C. M. Mc Overton,A. Townsend Peterson,Steven J. Phillips,Karen Richardson,Ricardo Scachetti-Pereira,Robert E. Schapire,Jorge Soberón,Stephen E. Williams,Mary S. Wisz,Niklaus E. Zimmermann +26 more
TL;DR: This work compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date and found that presence-only data were effective for modelling species' distributions for many species and regions.
BookDOI
Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
TL;DR: In this article, the authors present a case study in least squares fitting and interpretation of a linear model, where they use nonparametric transformations of X and Y to fit a linear regression model.
Related Papers (5)
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
Jane Elith,John R. Leathwick +1 more
Novel methods improve prediction of species' distributions from occurrence data
Jane Elith,Catherine H. Graham,Robert P. Anderson,Miroslav Dudík,Simon Ferrier,Antoine Guisan,Robert J. Hijmans,Falk Huettmann,John R. Leathwick,Anthony Lehmann,Jin Li,Lúcia G. Lohmann,Bette A. Loiselle,Glenn Manion,Craig Moritz,Miguel Nakamura,Yoshinori Nakazawa,Jacob C. M. Mc Overton,A. Townsend Peterson,Steven J. Phillips,Karen Richardson,Ricardo Scachetti-Pereira,Robert E. Schapire,Jorge Soberón,Stephen E. Williams,Mary S. Wisz,Niklaus E. Zimmermann +26 more