Author
A. Townsend Peterson
Other affiliations: California Academy of Sciences, University of Chicago, Field Museum of Natural History ...read more
Bio: A. Townsend Peterson is an academic researcher from University of Kansas. The author has contributed to research in topics: Environmental niche modelling & Ecological niche. The author has an hindex of 91, co-authored 521 publications receiving 51524 citations. Previous affiliations of A. Townsend Peterson include California Academy of Sciences & University of Chicago.
Papers published on a yearly basis
Papers
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TL;DR: This research developed an innovative method that calculated the minimum sea level rise needed to inundate each cell in a Digital Elevation Model (DEM) and performed better than the simple “bathtub” approach, especially with sea level rises below 1 m.
Abstract: The rate of sea level rise will roughly double over the next century with a conservative projection of 0.18–0.59 m by 2100 (IPCC 2007). Inundation caused by sea level rise will likely disrupt the physical, economic, and social systems in coastal regions worldwide. All existing methods to assess the potential impacts of sea level rise could only delineate the inundation by a specific sea level rise. In addition to providing another inundation method based on the cost distance GIS function, this research developed an innovative method that calculated the minimum sea level rise needed to inundate each cell in a Digital Elevation Model (DEM). Both methods considered water connectivity and performed better than the simple “bathtub” approach, especially with sea level rises below 1 m. Implementation data structures significantly affected the efficiency of the new method. Several data structures were proposed and compared. Our results indicated the combination of a binary heap and hash table data structure was t...
11 citations
TL;DR: A Bird-Finding Guide to Mexico is a guide to finding birds in Mexico using a variety of natural resources, including birds of prey, seabirds, butterflies, and mammals.
Abstract: review of: A Bird-Finding Guide to Mexico. by Steve N G Howell. Ithaca (New York): Comstock Publishing Associates (Cornell University Press). xviii+ 365 p; ill.; index. ISBN: 0-8014-8581-9. 1999
11 citations
11 citations
01 Jan 2006
TL;DR: Peterson et al. as discussed by the authors studied the potential geographic distribution of the Bugun Liocichla Liocchla bugunorum, a poorly-known species from north-eastern India.
Abstract: Peterson, A. T. & Pape , M. 2006. Potential geographic distribution of the Bugun Liocichla Liocichla bugunorum, a poorly-known species from north-eastern India. Indian Birds 2 (6): 146–149. A. Townsend Peterson, Natural History Museum & Biodiversity Research Center, The University of Kansas, Lawrence, Kansas 66045, U.S.A. Email: town@ku.edu. Monica Papeo, Natural History Museum & Biodiversity Research Center, The University of Kansas, Lawrence, Kansas 66045, U.S.A.
11 citations
TL;DR: This work proposes a new framework for coding ecological niches and reconstructing their evolution that explicitly acknowledges and incorporates the uncertainty introduced by incomplete niche characterization, and modify existing ancestral state inference methods to leverage full estimates of environmental tolerances.
Abstract: Reconstructing ecological niche evolution can provide insight into the biogeography and diversification of evolving lineages However, comparative phylogenetic methods may infer the history of ecological niche evolution inaccurately because (a) species' niches are often poorly characterized; and (b) phylogenetic comparative methods rely on niche summary statistics rather than full estimates of species' environmental tolerances Here, we propose a new framework for coding ecological niches and reconstructing their evolution that explicitly acknowledges and incorporates the uncertainty introduced by incomplete niche characterization Then, we modify existing ancestral state inference methods to leverage full estimates of environmental tolerances We provide a worked empirical example of our method, investigating ecological niche evolution in the New World orioles (Aves: Passeriformes: Icterus spp) Temperature and precipitation tolerances were generally broad and conserved among orioles, with niche reduction and specialization limited to a few terminal branches Tools for performing these reconstructions are available in a new R package called nichevol
11 citations
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TL;DR: Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols used xiii 1.
Abstract: Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201
14,171 citations
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.
13,120 citations
Journal Article•
TL;DR: It is suggested that the natural selection against large insertion/deletion is so weak that a large amount of variation is maintained in a population.
11,521 citations
TL;DR: The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7 is presented, which implements a family of Markov chain Monte Carlo algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses.
Abstract: Computational evolutionary biology, statistical phylogenetics and coalescent-based population genetics are becoming increasingly central to the analysis and understanding of molecular sequence data. We present the Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7, which implements a family of Markov chain Monte Carlo (MCMC) algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses. This package includes an enhanced graphical user interface program called Bayesian Evolutionary Analysis Utility (BEAUti) that enables access to advanced models for molecular sequence and phenotypic trait evolution that were previously available to developers only. The package also provides new tools for visualizing and summarizing multispecies coalescent and phylogeographic analyses. BEAUti and BEAST 1.7 are open source under the GNU lesser general public license and available at http://beast-mcmc.googlecode.com and http://beast.bio.ed.ac.uk
9,055 citations
TL;DR: Range-restricted species, particularly polar and mountaintop species, show severe range contractions and have been the first groups in which entire species have gone extinct due to recent climate change.
Abstract: Ecological changes in the phenology and distribution of plants and animals are occurring in all well-studied marine, freshwater, and terrestrial groups These observed changes are heavily biased in the directions predicted from global warming and have been linked to local or regional climate change through correlations between climate and biological variation, field and laboratory experiments, and physiological research Range-restricted species, particularly polar and mountaintop species, show severe range contractions and have been the first groups in which entire species have gone extinct due to recent climate change Tropical coral reefs and amphibians have been most negatively affected Predator-prey and plant-insect interactions have been disrupted when interacting species have responded differently to warming Evolutionary adaptations to warmer conditions have occurred in the interiors of species’ ranges, and resource use and dispersal have evolved rapidly at expanding range margins Observed genetic shifts modulate local effects of climate change, but there is little evidence that they will mitigate negative effects at the species level
7,657 citations