ArticleConservation biology : the journal of the Society for Conservation Biology2022
Effects of forest cover on richness of threatened fish species in Japan.
Article in Conservation biology : the journal of the Society for Conservation Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Assessing spatial variability in land-use impacts on river water quality: a case study of the yura river watershed, Japan.Environmental management · 2025Article
- Terrestrial land cover shapes fish diversity in a major subtropical river catchment.Communications biology · 2025Article
- Fish and macroinvertebrate assemblages reveal extensive degradation of the world's rivers.Global change biology · 2023Article
- Effects of forest cover on richness of threatened fish species in Japan.Conservation biology : the journal of the Society for Conservation Biology · 2022Article
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Authors and funding
12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Estuaries--one of the most vulnerable ecosystems globally--face anthropogenic threats, including biodiversity loss and the collapse of sustainable fisheries. Determining the factors contributing to the maintenance of estuarine biodiversity, especially that of fish, is vital for promoting estuarine conservation and sustainability. We used environmental DNA metabarcoding analysis to determine fish species composition in 22 estuaries around Japan and measured watershed-scale land-use factors (e.g., population size, urban area percentage, and forest area percentage). We sought to test the hypothesis that the richness of the most vulnerable estuarine fish species (i.e., registered by the Japanese Ministry of the Environment in the national species red-list) is determined by watershed-scale land-use factors. The richness of such species was greater, where forest cover was highest; thus, forest cover contributes to their conservation. The proportion of agriculture cover was associated with low species richness of red-listed fishes (redundancy analysis, adjusted R
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