Results 11 to 20 of about 14,787,893 (353)
Species Distribution Modeling for Machine Learning Practitioners: A Review [PDF]
The Compass, 2021 Conservation science depends on an accurate understanding of what’s happening in a given ecosystem. How many species live there? What is the makeup of the population? How is that changing over time?
Sara Beery +4 more
semanticscholar +1 more source
Species distribution modelling supports the study of past, present and future biogeographies
Journal of Biogeography, 2023 Species distribution modelling (SDM), also called environmental or ecological niche modelling, has developed over the last 30 years as a widely used tool used in core areas of biogeography including historical biogeography, studies of diversity patterns,
J. Franklin
semanticscholar +1 more source
A quantitative review of abundance-based species distribution models
bioRxiv, 2021 The contributions of species to ecosystem functions or services depend not only on their presence in a given community, but also on their local abundance.
C. Waldock +7 more
semanticscholar +1 more source
Joint species distribution modelling with the r‐package Hmsc
Methods in Ecology and Evolution, 2020 Joint Species Distribution Modelling (JSDM) is becoming an increasingly popular statistical method for analysing data in community ecology. Hierarchical Modelling of Species Communities (HMSC) is a general and flexible framework for fitting JSDMs.
G. Tikhonov +6 more
semanticscholar +1 more source
A standard protocol for reporting species distribution models
Ecography, 2020 Species distribution models (SDMs) constitute the most common class of models across ecology, evolution and conservation. The advent of ready-to-use software pack - ages and increasing availability of digital geoinformation have considerably assisted
D. Zurell +21 more
semanticscholar +1 more source
, 2020 Predictive performance is important to many applications of species distribution models (SDMs). The SDM ‘ensemble’ approach, which combines predictions across different modelling methods, is believed to improve predictive performance, and is used in many
Tianxiao Hao +3 more
semanticscholar +1 more source
Wild dogs at stake: deforestation threatens the only Amazon endemic canid, the short-eared dog (Atelocynus microtis) [PDF]
, 2020 The persistent high deforestation rate and fragmentation of the Amazon forests are the main threats to their biodiversity. To anticipate and mitigate these threats, it is important to understand and predict how species respond to the rapidly changing ...
Abrahams, Mark +48 more
core +3 more sources
The Risk for Novel and Disappearing Environmental Conditions in the Baltic Sea
Frontiers in Marine Science, 2021 Future climate biogeochemical projections indicate large changes in the ocean with environmental conditions not experienced at present referred to as novel, or may even disappear. These climate-induced changes will most likely affect species distribution
Thorsten Blenckner +5 more
doaj +1 more source
Modelling the distribution of the invasive Roesel’s bushcricket (Metrioptera roeselii) in a fragmented landscape [PDF]
, 2011 The development of conservation strategies to mitigate the impact of invasive species requires knowledge of the species ecology and distribution. This is, however, often lacking as collecting biological data may be both time-consuming and resource ...
Berggren, Åsa +2 more
core +2 more sources
SDMtune: An R package to tune and evaluate species distribution models
Ecology and Evolution, 2020 Balancing model complexity is a key challenge of modern computational ecology, particularly so since the spread of machine learning algorithms. Species distribution models are often implemented using a wide variety of machine learning algorithms that can
Sergio Vignali +3 more
semanticscholar +1 more source