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[Application of species distribution models in the prediction of marine potential habitat: A review]. / 物种分布模型在海洋潜在生境预测的应用研究进展.
Yang, Xiao Long; Yang, Chao Jie; Hu, Cheng Ye; Zhang, Xiu Mei.
Afiliación
  • Yang XL; Ministry of Education Key Laboratory of Mariculture, Ocean University of China, Qingdao 266003, Shandong, China.
  • Yang CJ; Ministry of Education Key Laboratory of Mariculture, Ocean University of China, Qingdao 266003, Shandong, China.
  • Hu CY; Ministry of Education Key Laboratory of Mariculture, Ocean University of China, Qingdao 266003, Shandong, China.
  • Zhang XM; Ministry of Education Key Laboratory of Mariculture, Ocean University of China, Qingdao 266003, Shandong, China.
Ying Yong Sheng Tai Xue Bao ; 28(6): 2063-2072, 2017 Jun 18.
Article en Zh | MEDLINE | ID: mdl-29745172
ABSTRACT
The relationship between the distribution of halobios and environmental variables has been a focus of present research in marine ecology. Species distribution models (SDMs) have been widely employed to predict the distribution patterns and potential habitat suitability assessments of marine species and provide an efficient approach for marine biodiversity conservation, invasive species prevention, and fishery management. SDMs mainly include habitat suitability index models, mechanism models, and statistical models. In this paper, the theoretical basis of SDMs was firstly concluded and summarized. Next, the exploitation and case-studies of SDMs, especially the statistical models, for predicting potential distribution of marine species were reviewed. Then, comparisons of various methods for variable selection and model validation were made. Conclusions could be drawn that Akaike information criterion showed excellent performance when it came to variable selection, while Kappa coefficient and Area Under receiver operating character Curve (AUC) were widely used in relation to model validation. Finally, problems and prospects of SDMs were discussed. With the development of research on physiological characteristics, using mechanism models to predict potential habitats of halobios would become a trend.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Ecosistema / Conservación de los Recursos Naturales Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Asunto de la revista: SAUDE AMBIENTAL Año: 2017 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Ecosistema / Conservación de los Recursos Naturales Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Asunto de la revista: SAUDE AMBIENTAL Año: 2017 Tipo del documento: Article