Species Distribution Modeling

The use of species distribution models (SDM) to map and monitor animal and plant distributions has become increasingly important in the context of awareness of environmental change and its ecological consequences. From their original inception as resource inventory and conservation mapping tools, SDM have evolved along with the increasing variety and availability of statistical methods, digital biological, and environmental data with which they are built in a geographic information system. Beyond predicting species distributions, these models have become an important and widely used decision-making tool for a variety of biogeographical applications, such as studying the effects of climate change, identifying potential protected areas, determining locations potentially susceptible to invasion, and mapping vector-borne disease spread and risk. This article outlines the steps involved in formulating an SDM and focuses on the conceptual and theoretical foundations on which it is based and identifies issues that have merited recent and will merit future research attention

Biology · Climate change · Data science · Environmental planning · Environmental resource management · Geography · Habitat · Species distribution · Computer Science · Ecology and Vegetation Dynamics Studies · Environmental Science · Species Distribution and Climate Change · Wildlife Ecology and Conservation · Artificial Intelligence · Ecology

• Climate change refugia for glaciers in Patagonia

  Open Access•Francisco Manquehual-Cheuque, Marcelo Somos-Valenzuela et al.•Anthropocene•2021

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• Vector-borne diseases in Brazil

  Open Access•Bruno Moreira de Carvalho, Letícia Palazzi Pérez et al.•Sustainability in Debate•2020

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• Current trends of rubber plantation expansion may threaten biodiversity and livelihoods

  Open Access•Antje Ahrends, Peter Hollingsworth et al.•Global Environmental Change•2015

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• Impacts of tropical deforestation on local temperature and human well-being perceptions

  Open Access•Nicholas H Wolff, Yuta J Masuda et al.•Global Environmental Change•2018

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• Are agricultural researchers working on the right crops to enable food and nutrition security under future climates

  Open Access•Robert Manners, Rhys Manners et al.•Global Environmental Change•2018

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• Systematic prioritisation of SDGs

  Open Access•Atie Asadikia, Abbas Rajabifard et al.•World Development•2020

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• Patterns and drivers of recent agricultural land-use change in Southern Germany

  Open Access•Markus A Meyer, Andrea Früh-Müller•Land Use Policy•2020

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• Species-specific effects of climate change on the distribution of suitable baboon habitats - Ecological niche modeling of current and Last Glacial Maximum conditions

  Open Access•Desalegn Chala, Christian Roos et al.•Journal of Human Evolution•2019

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• Anticipatory Marine Conservation Outcomes

  Carlos A Morales‐Ramirez, Yi‐chen Wang•The Professional Geographer•2020

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• Agroforestry systems in a changing climate — challenges in projecting future performance

  Open Access•Eike Luedeling, Roeland Kindt et al.•Current Opinion in Environmental…•2013

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• The history of Abies pinsapo during the Holocene in southern Spain, based on pedoanthracological analysis

  Open Access•Rubén Pardo-Martínez, José Gómez Zotano et al.•Vegetation History and…•2021

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• Habitat and ecological niche characteristics of the elusive Hairy‐eared Dwarf Lemur ( Allocebus trichotis ) with updated occurrence and geographic range data

  Open Access•Dominik Schüßler, Naina Ratsimba Rabemananjara et al.•American Journal of Primatology•2023

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• A Maxent Predictive Model for Hunter-Gatherer Sites in the Southern Pampas, Argentina

  Open Access•D J Rafuse•Open Quaternary•2021

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• Novel methods improve prediction of species’ distributions from occurrence data

  Open Access•Jane Elith, C H Graham et al.•Ecography•2006

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• Very high resolution interpolated climate surfaces for global land areas

  Open Access•Robert J Hijmans, Susan E Cameron et al.•International Journal of…•2005

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• Predicting the impacts of climate change on the distribution of species

  Open Access•Richard G Pearson, Terence P Dawson•Global Ecology and Biogeography•2003

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• Original Article

  Open Access•Richard G Pearson, Christopher J Raxworthy et al.•Journal of Biogeography•2007

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• Concluding Remarks

  Open Access•G E Hutchinson, Gail Hutchinson•Cold Spring Harbor Symposia on…•1957

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• Species Distribution Models

  Jane Elith, John R Leathwick•Annual Review of Ecology,…•2009

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• Predicting species distribution

  Open Access•Antoine Guisan, Wilfried Thuiller•Ecology Letters•2005

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• Maximum entropy modeling of species geographic distributions

  Open Access•Steven J Phillips, Robert P Anderson et al.•Ecological Modelling•2006

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• Methods to account for spatial autocorrelation in the analysis of species distributional data

  Open Access•Carsten F Dormann, Jana M Mcpherson et al.•Ecography•2007

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• A review of methods for the assessment of prediction errors in conservation presence/absence models

  Open Access•Alan H FIELDING, John F Bell•Environmental Conservation•1997

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• Sample selection bias and presence‐only distribution models

  Open Access•Steven J Phillips, Miroslav Dudík et al.•Ecological Applications•2009

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• Assessing the accuracy of species distribution models

  Open Access•OMRI ALLOUCHE, ASAF TSOAR et al.•Journal of Applied Ecology•2006

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• Predictive habitat distribution models in ecology

  Open Access•Antoine Guisan, Niklaus E Zimmermann•Ecological Modelling•2000

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• Ecological Niches

  Jonathan M Chase, Mathew A Leibold•Interspecific Interactions :…•2003

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