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Machine learning in landscape ecological analysis: a review of recent approaches
Abstract Context Artificial Intelligence (AI) has rapidly developed over the past several
decades. Several related AI approaches, such as Machine Learning (ML), have been …
decades. Several related AI approaches, such as Machine Learning (ML), have been …
Long‐distance gene flow and adaptation of forest trees to rapid climate change
Ecology Letters (2012) 15: 378–392 Abstract Forest trees are the dominant species in many
parts of the world and predicting how they might respond to climate change is a vital global …
parts of the world and predicting how they might respond to climate change is a vital global …
Understanding and quantifying landscape structure–A review on relevant process characteristics, data models and landscape metrics
For quantifying and modelling of landscape patterns, the patch matrix model (PMM) and the
gradient model (GM) are fundamental concepts of landscape ecology. While the PMM model …
gradient model (GM) are fundamental concepts of landscape ecology. While the PMM model …
Path segmentation for beginners: an overview of current methods for detecting changes in animal movement patterns
Increased availability of high-resolution movement data has led to the development of
numerous methods for studying changes in animal movement behavior. Path segmentation …
numerous methods for studying changes in animal movement behavior. Path segmentation …
Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting …
C Mi, F Huettmann, Y Guo, X Han, L Wen - PeerJ, 2017 - peerj.com
Species distribution models (SDMs) have become an essential tool in ecology,
biogeography, evolution and, more recently, in conservation biology. How to generalize …
biogeography, evolution and, more recently, in conservation biology. How to generalize …
Moving beyond landscape resistance: considerations for the future of connectivity modelling and conservation science
Landscape connectivity, the extent to which a landscape facilitates the flow of ecological
processes such as organism movement, has emerged as a central focus of landscape …
processes such as organism movement, has emerged as a central focus of landscape …
[HTML][HTML] Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and …
Species distribution modeling has emerged as a foundational method to predict occurrence
and suitability of species in relation to environmental variables to advance ecological …
and suitability of species in relation to environmental variables to advance ecological …
Multi-scale habitat modelling and predicting change in the distribution of tiger and leopard using random forest algorithm
Tigers and leopards have experienced considerable declines in their population due to
habitat loss and fragmentation across their historical ranges. Multi-scale habitat suitability …
habitat loss and fragmentation across their historical ranges. Multi-scale habitat suitability …
Reproducible home ranges (rhr): A new, user‐friendly R package for analyses of wildlife telemetry data
Analyzing wildlife tracking data frequently involves the estimation of home ranges. However,
home range studies frequently lack important analytical steps, or only insufficiently report …
home range studies frequently lack important analytical steps, or only insufficiently report …
Identifying priority core habitats and corridors for effective conservation of brown bears in Iran
Iran lies at the southernmost range limit of brown bears globally. Therefore, understanding
the habitat associations and patterns of population connectivity for brown bears in Iran is …
the habitat associations and patterns of population connectivity for brown bears in Iran is …