Sensitivity of fine-scale species distribution models to locational uncertainty in occurrence data across multiple sample sizes
出版年份 2016 全文链接
标题
Sensitivity of fine-scale species distribution models to locational uncertainty in occurrence data across multiple sample sizes
作者
关键词
-
出版物
Methods in Ecology and Evolution
Volume 8, Issue 1, Pages 12-21
出版商
Wiley
发表日期
2016-08-26
DOI
10.1111/2041-210x.12645
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Quantification of Spatial and Thematic Uncertainty in the Application of Underwater Video for Benthic Habitat Mapping
- (2014) A. Rattray et al. MARINE GEODESY
- How long should we ignore imperfect detection of species in the marine environment when modelling their distribution?
- (2013) Jacquomo Monk FISH AND FISHERIES
- Detecting patterns of change in benthic habitats by acoustic remote sensing
- (2013) A Rattray et al. MARINE ECOLOGY PROGRESS SERIES
- Ecologists should not use statistical significance tests to interpret simulation model results
- (2013) J. Wilson White et al. OIKOS
- Correction of location errors for presence-only species distribution models
- (2013) Trevor J. Hefley et al. Methods in Ecology and Evolution
- Uses and misuses of bioclimatic envelope modeling
- (2012) Miguel B. Araújo et al. ECOLOGY
- Are We Predicting the Actual or Apparent Distribution of Temperate Marine Fishes?
- (2012) Jacquomo Monk et al. PLoS One
- Benthic habitat mapping: A review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques
- (2011) Craig J. Brown et al. ESTUARINE COASTAL AND SHELF SCIENCE
- Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling
- (2011) Babak Naimi et al. JOURNAL OF BIOGEOGRAPHY
- Hypothesis-driven species distribution models for tree species in the Bavarian Alps
- (2011) K. H. Mellert et al. JOURNAL OF VEGETATION SCIENCE
- Accounting for uncertainty when mapping species distributions: The need for maps of ignorance
- (2011) Duccio Rocchini et al. PROGRESS IN PHYSICAL GEOGRAPHY
- Comparison of automated classification techniques for predicting benthic biological communities using hydroacoustics and video observations
- (2010) D. Ierodiaconou et al. CONTINENTAL SHELF RESEARCH
- Remotely sensed hydroacoustics and observation data for predicting fish habitat suitability
- (2010) J. Monk et al. CONTINENTAL SHELF RESEARCH
- Resolving issues of imprecise and habitat-biased locations in ecological analyses using GPS telemetry data
- (2010) J. L. Frair et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Effects of species and habitat positional errors on the performance and interpretation of species distribution models
- (2009) Patrick E. Osborne et al. DIVERSITY AND DISTRIBUTIONS
- Hydro-acoustic remote sensing of benthic biological communities on the shallow South East Australian continental shelf
- (2009) Alex Rattray et al. ESTUARINE COASTAL AND SHELF SCIENCE
- Modelling the responses of Andean and Amazonian plant species to climate change: the effects of georeferencing errors and the importance of data filtering
- (2009) Kenneth J. Feeley et al. JOURNAL OF BIOGEOGRAPHY
- Niches and distributional areas: Concepts, methods, and assumptions
- (2009) J. Soberon et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Not as good as they seem: the importance of concepts in species distribution modelling
- (2008) Alberto Jiménez-Valverde et al. DIVERSITY AND DISTRIBUTIONS
- Effects of sample size on the performance of species distribution models
- (2008) M. S. Wisz et al. DIVERSITY AND DISTRIBUTIONS
- Sensitivity of species-distribution models to error, bias, and model design: An application to resource selection functions for woodland caribou
- (2008) Chris J. Johnson et al. ECOLOGICAL MODELLING
- Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach
- (2008) Q. Guo et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- AUC: a misleading measure of the performance of predictive distribution models
- (2007) Jorge M. Lobo et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started