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Determining the macroinvertebrate community indicators and relevant environmental predictors of the Hun-Tai River Basin (Northeast China): A study based on community patterning

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Determining the macroinvertebrate community indicators and relevant environmental predictors of the Hun-Tai River Basin (Northeast China): A study based on community patterning

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Zhang, M.; Muñoz Mas, R.; Martinez-Capel, F.; Qu, X.; Zhang, H.; Peng, W.; Liu, X. (2018). Determining the macroinvertebrate community indicators and relevant environmental predictors of the Hun-Tai River Basin (Northeast China): A study based on community patterning. The Science of The Total Environment. 634:749-759. https://doi.org/10.1016/j.scitotenv.2018.04.021

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Title: Determining the macroinvertebrate community indicators and relevant environmental predictors of the Hun-Tai River Basin (Northeast China): A study based on community patterning
Author: Zhang, Min Muñoz Mas, Rafael Martinez-Capel, Francisco Qu, Xiaodong Zhang, Haiping Peng, Wenqi Liu, Xiaobo
UPV Unit: Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
Abstract:
[EN] It is essential to understand the patterning of biota and environmental influencing factors for proper rehabilitation and management at the river basin scale. The Hun-Tai River Basin was extensively sampled four times ...[+]
Subjects: Macroinvertebrate patterning , Indicators , Self-Organizing Map , Decision tree , River zonation
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
The Science of The Total Environment. (issn: 0048-9697 )
DOI: 10.1016/j.scitotenv.2018.04.021
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.scitotenv.2018.04.021
Thanks:
This work was supported by the National Natural Science Foundation of China (51779275, 41501204, 51479219) and the IWHR Research & Development Support Program (WE0145B532017).
Type: Artículo

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