Toward community predictions: Multi‐scale modelling of mountain breeding birds' habitat suitability, landscape preferences, and environmental drivers-Reference-Cited by-同舟云学术

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Toward community predictions: Multi‐scale modelling of mountain breeding birds' habitat suitability, landscape preferences, and environmental drivers

Published:2020-04-29 Issue:12 Volume:10 Page:5544-5557
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecol Evol

Author:

Amini Tehrani Nasrin¹^ORCID,Naimi Babak²,Jaboyedoff Michel¹

Affiliation:

1. Institute of Earth Sciences University of Lausanne 1015 Lausanne Switzerland

2. Department of Geosciences and Geography University of Helsinki Helsinki Finland

Funder

University of Lausanne.

Iran’s Ministry of Science, Research and Technology

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.6295

Reference91 articles.

1. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)

2. Effects of Habitat Fragmentation on Birds and Mammals in Landscapes with Different Proportions of Suitable Habitat: A Review

3. Ensemble forecasting of species distributions

4. Validation of species-climate impact models under climate change

5. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling

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1. LEVERAGING CITIZEN SCIENCE TO ASSESS RICHNESS, DIVERSITY, AND ABUNDANCE IN ANT COMMUNITIES;2024-06-12

2. The devil is in the detail: Environmental variables frequently used for habitat suitability modeling lack information for forest‐dwelling bats in Germany;Ecology and Evolution;2024-06

3. The effects of climate and land use change on the potential distribution and nesting habitat of the Lesser Adjutant in Nepal;Avian Research;2023

4. An empirical and expert‐knowledge hybrid approach to implement farmland habitat assessment for birds;Conservation Science and Practice;2022-07

5. A data-integration approach to correct sampling bias in species distribution models using multiple datasets of breeding birds in the Swiss Alps;Ecological Informatics;2022-07

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