Ecological Niches and Geographic Distributions (MPB-49)
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A01=A. Townsend Peterson
A01=Enrique Martínez-Meyer
A01=Jorge Soberón
A01=Miguel B. Araújo
A01=Miguel Nakamura
A01=Richard G. Pearson
A01=Robert P. Anderson
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Algorithm
American Museum of Natural History
Author_A. Townsend Peterson
Author_Enrique Martínez-Meyer
Author_Jorge Soberón
Author_Miguel B. Araújo
Author_Miguel Nakamura
Author_Richard G. Pearson
Author_Robert P. Anderson
automatic-update
Bastian
Biodiversity
Biogeography
Biological interaction
Calculation
Calibration
Category1=Non-Fiction
Category=RNCB
Climate change
Competition
Conceptual framework
Conditional probability
Confusion matrix
Conservation biology
COP=United States
Covariate
Cross-validation (statistics)
Decision tree
Delivery_Delivery within 10-20 working days
Diagram
Diagram (category theory)
Disease
Disperser
Ecological niche
Ecology
Environment variable
Environmental factor
eq_isMigrated=2
eq_nobargain
Error
Estimation
Evaluation strategy
Evolution
Extrapolation
Factor analysis
Grid cell
Illustration
Implementation
Inference
Interactor
Invasive species
Language_English
Likelihood function
Loss function
Measurement
Organism
Overfitting
PA=Available
Parameter
Parametrization
Pathogen
Population dynamics
Prediction
Price_€50 to €100
Principal component analysis
Probability
Processing (programming language)
Proportionality (mathematics)
PS=Active
Quantity
Receiver operating characteristic
Requirement
Result
Sampling bias
Sensitivity and specificity
softlaunch
Spatial analysis
Spatial distribution
Spatial scale
Speciation
Species
Species distribution
Statistic
Statistical hypothesis testing
Statistical significance
Subset
Taxon
Uncertainty
Variable (mathematics)
Product details
- ISBN 9780691136882
- Weight: 539g
- Dimensions: 152 x 235mm
- Publication Date: 20 Nov 2011
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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This book provides a first synthetic view of an emerging area of ecology and biogeography, linking individual- and population-level processes to geographic distributions and biodiversity patterns. Problems in evolutionary ecology, macroecology, and biogeography are illuminated by this integrative view. The book focuses on correlative approaches known as ecological niche modeling, species distribution modeling, or habitat suitability modeling, which use associations between known occurrences of species and environmental variables to identify environmental conditions under which populations can be maintained. The spatial distribution of environments suitable for the species can then be estimated: a potential distribution for the species. This approach has broad applicability to ecology, evolution, biogeography, and conservation biology, as well as to understanding the geographic potential of invasive species and infectious diseases, and the biological implications of climate change. The authors lay out conceptual foundations and general principles for understanding and interpreting species distributions with respect to geography and environment.
Focus is on development of niche models. While serving as a guide for students and researchers, the book also provides a theoretical framework to support future progress in the field.
A. Townsend Peterson and Jorge Soberon are professors of ecology and evolutionary biology at the University of Kansas. Richard G. Pearson is a scientist at the American Museum of Natural History. Robert P. Anderson is associate professor of biology at the City College of New York, CUNY. Enrique Martinez-Meyer is professor at the Universidad Nacional Autonoma de Mexico. Miguel Nakamura is a researcher at the Centro de Investigacion en Matematicas in Guanajuato, Mexico. Miguel B. Araujo is a senior researcher at the Museo Nacional de Ciencias Naturales in Madrid, and at the Universidade de Evora, Portugal.
