气候变化领域集成服务门户(CCPortal): Benthic diversity patterns and predictors: A study case with inferences for conservation

CCPortal

DOI	10.1016/j.marpolbul.2019.110748
	Benthic diversity patterns and predictors: A study case with inferences for conservation
	Vassallo P.; Paoli C.; Aliani S.; Cocito S.; Morri C.; Bianchi C.N.
发表日期	2020
ISSN	0025326X
卷号	150
英文摘要	Understanding which drivers cause diversity patterns is a key issue in conservation. Here we applied a spatially explicit model to predict marine benthic diversity patterns according to environmental factors in the NW Mediterranean Sea. While most conservation-oriented diversity studies consider species richness only and neglect equitability, we measured separately species richness, equitability, and ‘overall’ diversity (i.e., the Shannon-Wiener H′ function) on a dataset of 890 benthic species × 209 samples. Diversity values were predicted by means of Random Forest regression, on the basis of 10 factors: depth, distance from the coast, distance from the shelf break, latitude, sea-floor slope, sediment grain size, sediment sorting, distance from harbours and marinas, distance from rivers, and sampling gear. Predictions by Random Forests were accurate, the main predictors being latitude, sediment grain size, depth and distance from the coast. Based on predicted values, diversity hotspots were identified as those localities where indices were in the 15% top segment of ranked values. Only a minority of the diversity hotspots was included within the boundaries of the protection institutes established in the region. Marine protected areas are often created in sites harbouring important coastal habitats, which risks neglecting the diversity hidden in the sedimentary seafloor. We suggest that marine protected areas should accommodate portions of sedimentary habitat within their boundaries to improve diversity conservation. © 2019 Elsevier Ltd
英文关键词	Diversity; Equitability; Hot spots; Macrobenthos; Marine protected areas; Mediterranean Sea; Species richness
语种	英语
scopus关键词	Decision trees; Ecosystems; Environmental protection; Grain size and shape; Random forests; Sedimentology; Sediments; Diversity; Equitability; Hot spot; Macro benthos; Marine protected area; Mediterranean sea; Species richness; Conservation; benthos; conservation; environmental factor; prediction; protected area; regression analysis; species diversity; article; environmental factor; habitat; human; latitude; macrobenthos; major clinical study; Mediterranean Sea; neglect; nonhuman; particle size; prediction; random forest; river; seashore; sediment; species richness; biodiversity; ecosystem; environmental protection; Mediterranean Sea; Biodiversity; Conservation of Natural Resources; Ecosystem; Mediterranean Sea
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/149380
作者单位	DiSTAV (Department of Earth, Environmental and Life Sciences), University of Genoa, Corso Europa 26, Genova, I-16132, Italy; ISMAR (Institute of Marine Sciences), CNR, Forte Santa Teresa, Pozzuolo di Lerici, SP I-19036, Italy; ENEA (Italian Agency for New Technologies, Energy and Sustainable Economic Development), Marine Environment Research Centre, La Spezia, I-19100, Italy
推荐引用方式 GB/T 7714	Vassallo P.,Paoli C.,Aliani S.,et al. Benthic diversity patterns and predictors: A study case with inferences for conservation[J],2020,150.
APA	Vassallo P.,Paoli C.,Aliani S.,Cocito S.,Morri C.,&Bianchi C.N..(2020).Benthic diversity patterns and predictors: A study case with inferences for conservation.Marine Pollution Bulletin,150.
MLA	Vassallo P.,et al."Benthic diversity patterns and predictors: A study case with inferences for conservation".Marine Pollution Bulletin 150(2020).