2022
DOI: 10.1111/faf.12716
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Modelling the distribution of marine fishery resources: Where are we?

Abstract: Ecological niche models (ENMs) and species distribution models (SDMs) have been widely applied to various studies relevant to biogeography, conservation biology, and ecology. These modelling techniques seek to develop spatial maps for projecting, among others past, current, and future species distributions. Born in the field of terrestrial ecology, only in recent years have these models been applied to marine environmental issues, especially to improve the forecasting of the distribution of occurrences and cap… Show more

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Cited by 9 publications
(2 citation statements)
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References 161 publications
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“…Spatial distribution models (SDMs), which are alternatively referred to as habitat models, ecological niche models, and bioclimatic envelopes, are extensively employed in the evaluation of species-oceanography associations [24]. Spatial distribution models (SDMs) are mathematical models utilized for the purpose of predicting the distribution patterns of a species within its surrounding environment.…”
Section: Introductionmentioning
confidence: 99%
“…Spatial distribution models (SDMs), which are alternatively referred to as habitat models, ecological niche models, and bioclimatic envelopes, are extensively employed in the evaluation of species-oceanography associations [24]. Spatial distribution models (SDMs) are mathematical models utilized for the purpose of predicting the distribution patterns of a species within its surrounding environment.…”
Section: Introductionmentioning
confidence: 99%
“…These models significantly enhance our capacity to comprehend patterns of species distribution, making them critical in studying the crucial implications of climate change on biodiversity. Consequently, they have emerged as focal points in research across fields such as ecology, evolutionary biology, and biogeography [35]. While there are plenty of commonly used ENMs, each capable of independently forecasting potentially suitable areas, it is important to note that each model exhibits specific biases or preferences [36].…”
Section: Introductionmentioning
confidence: 99%