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Spatial patterns of ß-diversity under cumulative pressures in the Western Mediterranean Sea.
Pennino, M Grazia; Zurano, Juan Pablo; Hidalgo, Manuel; Esteban, Antonio; Veloy, Carlos; Bellido, José M; Coll, Marta.
Afiliação
  • Pennino MG; Instituto Español de Oceanografía (IEO-CSIC), Centro Oceanográfico de Madrid, C. Del Corazón de María, 8, 28002, Madrid, Spain; Statistical Modeling Ecology Group (SMEG), Spain. Electronic address: graziapennino@yahoo.it.
  • Zurano JP; Instituto de Biología Subtropical, CONICET- Universidad Nacional de Misiones (UNaM), Puerto Iguazú, Argentina.
  • Hidalgo M; Instituto Español de Oceanografía (IEO-CSIC), Centro Oceanográfico de Baleares, Ecosystem Oceanography Group (GRECO) Moll de Ponent S/n, 07015, Palma, Spain.
  • Esteban A; Instituto Español de Oceanografía (IEO-CSIC), Centro Oceanográfico de Murcia, C/Varadero 1, 30740, San Pedro Del Pinatar, Murcia, Spain.
  • Veloy C; Institut de Ciències Del Mar (CMIMA-CSIC), P. Marítim de La Barceloneta, 37-49, 08003, Barcelona, Spain.
  • Bellido JM; Statistical Modeling Ecology Group (SMEG), Spain; Instituto Español de Oceanografía (IEO-CSIC), Centro Oceanográfico de Murcia, C/Varadero 1, 30740, San Pedro Del Pinatar, Murcia, Spain.
  • Coll M; Institut de Ciències Del Mar (CMIMA-CSIC), P. Marítim de La Barceloneta, 37-49, 08003, Barcelona, Spain; Ecopath International Initiative Research Association, 08172, Barcelona, Spain.
Mar Environ Res ; 195: 106347, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38262136
ABSTRACT
Understanding the spatial dynamics of biodiversity is an essential issue in marine ecology and requires combining information at local and regional scales. ß-diversity is an important measure of biodiversity that informs on the differences in community composition between sites and, thus, in the species turnover in the community structure. In this study, we analysed and predicted the spatial patterns of ß-diversity for fishes, invertebrates and the demersal assemblage along the Iberian Mediterranean coast. We used Bayesian Bootstrap Generalized Dissimilarity Models (BBGDMs) to study the effects of environment and human pressures on the ß-diversity of invertebrate, fishes and the entire demersal assemblage from 1994 to 2015 using different time windows to account for temporal variability. Then, we used these relationships to predict the spatial patterns of ß-diversity in the whole Iberian Mediterranean coast. Our results highlighted that the regional spatial patterns of ß-diversity were best described by bathymetry and a cumulative index of coastal impacts. We identified specific regions with the highest ß-diversity in the study area, which were complementary to hotspots of species richness and presented different degree of overlapping with existent marine protected areas. Overall, our study illustrates that by modelling spatial turnover using ß-diversity we can better understand and predict spatial variation of biodiversity and the effects of particular variables, providing relevant information to end-users and policy makers for designing specific spatial conservation and management strategies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Biodiversidade Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Mar Environ Res Assunto da revista: BIOLOGIA / SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Biodiversidade Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Mar Environ Res Assunto da revista: BIOLOGIA / SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2024 Tipo de documento: Article