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Cited by 555

The DOI matches its Crossref record; 178 of the 178 references it cites were found in a registry or an index.

Ecological niche models and species distribution models in marine environments: A literature review and spatial analysis of evidence

Melo-Merino, Sara M., Reyes-Bonilla, Héctor, Lira-Noriega, Andrés·2020·Ecological Modelling

Abstract

In recent years, the use of ecological niche models (ENMs) and species distribution models (SDMs) to explore the patterns and processes behind observed distribution of species has experienced an explosive growth. Although the use of these methods has been less common and more recent in marine ecosystems than in a terrestrial context, they have shown significant increases in use and applications. Herein, we provide a systematic review of 328 articles on marine ENMs and SDMs published between 1990 and 2016, aiming to identify their main applications and the diversity of methodological frameworks in which they are developed, including spatial scale, geographic realm, taxonomic groups assessed, algorithms implemented, and data sources. Of the 328 studies, 48 % were at local scales, with a hotspot of research effort in the North Atlantic Ocean. Most studies were based on correlative approaches and were used to answer ecological or biogeographic questions about mechanisms underlying geographic ranges (64 %). A few attempted to evaluate impacts of climate change (19 %) or to develop strategies for conservation (11 %). Several correlative techniques have been used, but most common was the machine-learning approach Maxent (46 %) and statistical approaches such as generalized additive models GAMs (22 %) and generalized linear models, GLMs (14 %). The groups most studied were fish (23 %), molluscs (16 %), and marine mammals (14 %), the first two with commercial importance and the last important for conservation. We noted a lack of clarity regarding the definitions of ENMs versus SDMs, and a rather consistent failure to differentiate between them. This review exposed a need to know, reduce, and report error and uncertainty associated with species’ occurrence records and environmental data. In addition, particular to marine realms, a third dimension should be incorporated into the modelling process, referring to the vertical position of the species, which will improve the precision and utility of these models. So too is of paramount importance the consideration of temporal and spatial resolution of environmental layers to adequately represent the dynamic nature of marine ecosystems, especially in the case of highly mobile species.

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Metadata

Authors
Melo-Merino, S. M., Reyes-Bonilla, H., & Lira-Noriega, A.
Venue
Ecological Modelling
Publisher
Elsevier BV
Published
2020-01
Volume
415
Pages
108837
ISSN
0304-3800 (ISSN-L)
OpenAlex
W2988652345
Cited by
555
References
178
FWCI
54.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ecological niche models and species distribution models in marine environments: A literature review and spatial analysis of evidence. https://app.cochat.ai/papers/10.1016/j.ecolmodel.2019.108837
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Melo-Merino, S. M., Reyes-Bonilla, H., & Lira-Noriega, A. (2020). Ecological niche models and species distribution models in marine environments: A literature review and spatial analysis of evidence. Ecological Modelling. https://doi.org/10.1016/j.ecolmodel.2019.108837

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.