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Machine learning applied to global scale species distribution models [PDF]
Scientific ReportsSpecies Distribution Models (SDMs) are widely used in ecology to analyze historical and future patterns of marine species distributions. Given the growing impact of climate change, predicting potential shifts in species ranges has become a key challenge.
Alba Fuster-Alonso +10 more
doaj +2 more sources
The Impact of Climate Change on The Geographic Distribution of Thymus Kotschyanus (Boiss and Hohen) Using Ensemble Modelling [PDF]
مدیریت بیابان, 2021 This study aimed at predicting the effect of climate change on the geographic distribution of Thymus kotschyanus Boiss and Hohen in Mazandaran province. Species presence data were recorded via the Global Positioning System (GPS).
Samaneh Nazari +3 more
doaj +1 more source
Assessing the effect of sample bias correction in species distribution models [PDF]
Ecological Indicators, 2021 Open-source biodiversity databases contain a large amount of species occurrence records, but these are often spatially biased, which affects the reliability of species distribution models based on these records.
Nicolas Dubos +10 more
semanticscholar +1 more source
Ecology and Evolution, 2023 Species distribution models (SDMs) are practical tools to assess the habitat suitability of species with numerous applications in environmental management and conservation planning.
Mohsen Ahmadi +3 more
semanticscholar +1 more source
Cartograms tool to represent spatial uncertainty in species distribution [PDF]
Research Ideas and Outcomes, 2017 Species distribution models have become an important tool for biodiversity monitoring. Like all statistical modelling techniques developed based on field data, they are prone to uncertainty due to bias in the sampling (e.g.
Duccio Rocchini, Carol X Garzon-Lopez
doaj +2 more sources
Species distribution modeling in the cloud [PDF]
Concurrency and Computation: Practice and Experience, 2013 SummarySpecies distribution modeling is a process aiming at computationally predicting the distribution of species in geographic areas on the basis of environmental parameters including climate data. Such a quantitative approach has a lot of potentialities in many areas that include setting up conservation priorities, testing biogeographic hypotheses ...
Candela L +4 more
openaire +2 more sources
Implementation of species distribution models in Google Earth Engine
Diversity and Distributions: A journal of biological invasions and biodiversity, 2022 Google Earth Engine (GEE) is a free Web‐based spatial analysis platform that requires only a web browser and an Internet connection to programmatically access and analyse data from its multi‐petabyte catalog of regularly updated satellite imagery (e.g ...
R. Crego, J. Stabach, G. Connette
semanticscholar +1 more source
Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens [PDF]
PeerJ, 2021 The rising prevalence of tick-borne diseases in humans in recent decades has called attention to the need for more information on geographic risk for public health planning.
Catherine A. Lippi +3 more
doaj +2 more sources
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
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