Creating individual accessible area hypotheses improves stacked species distribution model performance
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Creating individual accessible area hypotheses improves stacked species distribution model performance
Authors
Keywords
-
Journal
GLOBAL ECOLOGY AND BIOGEOGRAPHY
Volume 27, Issue 1, Pages 156-165
Publisher
Wiley
Online
2017-12-05
DOI
10.1111/geb.12678
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Reconstructing Ecological Niche Evolution When Niches Are Incompletely Characterized
- (2017) Erin E Saupe et al. SYSTEMATIC BIOLOGY
- Spatial predictions at the community level: from current approaches to future frameworks
- (2015) Manuela D'Amen et al. BIOLOGICAL REVIEWS
- Using species richness and functional traits predictions to constrain assemblage predictions from stacked species distribution models
- (2015) Manuela D'Amen et al. JOURNAL OF BIOGEOGRAPHY
- Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts
- (2013) Yanbin Jiang et al. ECOLOGICAL INDICATORS
- Evaluating the predictive performance of stacked species distribution models applied to plant species selection in ecological restoration
- (2013) Aitor Gastón et al. ECOLOGICAL MODELLING
- Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas
- (2013) Hannah L. Owens et al. ECOLOGICAL MODELLING
- Stacking species distribution models and adjusting bias by linking them to macroecological models
- (2013) Justin M. Calabrese et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
- Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines
- (2013) Anna F. Cord et al. JOURNAL OF BIOGEOGRAPHY
- Selecting thresholds for the prediction of species occurrence with presence-only data
- (2013) Canran Liu et al. JOURNAL OF BIOGEOGRAPHY
- Variation in niche and distribution model performance: The need for a priori assessment of key causal factors
- (2012) E.E. Saupe et al. ECOLOGICAL MODELLING
- Integrating biogeographical processes and local community assembly
- (2012) Joaquín Hortal et al. JOURNAL OF BIOGEOGRAPHY
- Likelihood analysis of species occurrence probability from presence-only data for modelling species distributions
- (2012) J. Andrew Royle et al. Methods in Ecology and Evolution
- Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches
- (2011) Anne Dubuis et al. DIVERSITY AND DISTRIBUTIONS
- The crucial role of the accessible area in ecological niche modeling and species distribution modeling
- (2011) Narayani Barve et al. ECOLOGICAL MODELLING
- SESAM - a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages
- (2011) Antoine Guisan et al. JOURNAL OF BIOGEOGRAPHY
- Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents
- (2011) W. D. Kissling et al. JOURNAL OF BIOGEOGRAPHY
- A statistical explanation of MaxEnt for ecologists
- (2010) Jane Elith et al. DIVERSITY AND DISTRIBUTIONS
- Niche and area of distribution modeling: a population ecology perspective
- (2010) Jorge M. Soberón ECOGRAPHY
- How well does presence-only-based species distribution modelling predict assemblage diversity? A case study of the Tenerife flora
- (2010) Silvia C. Aranda et al. ECOGRAPHY
- Projected changes in elevational distribution and flight performance of montane Neotropical hummingbirds in response to climate change
- (2010) WOLFGANG BUERMANN et al. GLOBAL CHANGE BIOLOGY
- eBird: A citizen-based bird observation network in the biological sciences
- (2009) Brian L. Sullivan et al. BIOLOGICAL CONSERVATION
- Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
- (2009) Steven J. Phillips et al. ECOLOGICAL APPLICATIONS
- Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?
- (2009) Jeremy VanDerWal et al. ECOLOGICAL MODELLING
- Spatial analysis improves species distribution modelling during range expansion
- (2008) P. De Marco et al. Biology Letters
- Assessing the accuracy of species distribution models to predict amphibian species richness patterns
- (2008) Eduardo Pineda et al. JOURNAL OF ANIMAL ECOLOGY
- Assessing the effects of pseudo-absences on predictive distribution model performance
- (2007) Rosa M. Chefaoui et al. ECOLOGICAL MODELLING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started