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The Ecological Water Demand of Schizothorax in Tibet Based on Habitat Area and Connectivity

Water resource regulation is convenient for humans, but also changes river hydrology and affects aquatic ecosystems. This study combined a field investigation and two-dimensional hydrodynamic model (MIKE21) to simulate the hydrodynamic distribution from 1 March to 30 April of 2008–2013 and establish...

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Autores principales: Zhou, Zili, Deng, Yun, Li, Yong, An, Ruidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747338/
https://www.ncbi.nlm.nih.gov/pubmed/31443390
http://dx.doi.org/10.3390/ijerph16173045
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author Zhou, Zili
Deng, Yun
Li, Yong
An, Ruidong
author_facet Zhou, Zili
Deng, Yun
Li, Yong
An, Ruidong
author_sort Zhou, Zili
collection PubMed
description Water resource regulation is convenient for humans, but also changes river hydrology and affects aquatic ecosystems. This study combined a field investigation and two-dimensional hydrodynamic model (MIKE21) to simulate the hydrodynamic distribution from 1 March to 30 April of 2008–2013 and establish the HDI (habitat depth suitability index) and HVI (habitat velocity suitability index) based on static hydraulic conditions at typical points. Additionally, by using MIKE21 to simulate the hydraulic state in the study area under 20 flow conditions from 530–1060 m(3)/s, and combining these states with the HCI (habitat cover type suitability index), HDI, and HVI, we simulated the WUA (weighted usable area) and habitat connectivity under different runoff regulation scenarios to study the water requirements of Schizothorax during the spawning period in the Yanni wetland. The results showed the following: (1) the suitable cover type was cobble and rock substrate, with nearby sandy land; furthermore, the suitable water depth was 0.5–1.5 m, and the suitable velocity was 0.1–0.9 m/s. (2) Using the proximity index to analyse the connectivity of suitable habitats, the range of ecological discharge determined by the WUA and connectivity was 424–1060 m/s. (3) Habitat quality was divided into three levels to detail the flow demand further. When the flow was 424–530 m(3)/s or 848–1060 m(3)/s, the WUA and connectivity generally met the requirements under natural conditions. When the flow was 530–636 m(3)/s or 742–848 m(3)/s, the WUA and connectivity were in a good state. When the flow was 636–742 m(3)/s, the WUA and connectivity were in the best state. This study complements existing research on the suitability of Schizothorax habitat in Tibet, and introduces the connectivity index to enrich the method for calculating ecological water demand, providing a reference for resource regulation and the protection of aquatic organisms.
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spelling pubmed-67473382019-09-27 The Ecological Water Demand of Schizothorax in Tibet Based on Habitat Area and Connectivity Zhou, Zili Deng, Yun Li, Yong An, Ruidong Int J Environ Res Public Health Article Water resource regulation is convenient for humans, but also changes river hydrology and affects aquatic ecosystems. This study combined a field investigation and two-dimensional hydrodynamic model (MIKE21) to simulate the hydrodynamic distribution from 1 March to 30 April of 2008–2013 and establish the HDI (habitat depth suitability index) and HVI (habitat velocity suitability index) based on static hydraulic conditions at typical points. Additionally, by using MIKE21 to simulate the hydraulic state in the study area under 20 flow conditions from 530–1060 m(3)/s, and combining these states with the HCI (habitat cover type suitability index), HDI, and HVI, we simulated the WUA (weighted usable area) and habitat connectivity under different runoff regulation scenarios to study the water requirements of Schizothorax during the spawning period in the Yanni wetland. The results showed the following: (1) the suitable cover type was cobble and rock substrate, with nearby sandy land; furthermore, the suitable water depth was 0.5–1.5 m, and the suitable velocity was 0.1–0.9 m/s. (2) Using the proximity index to analyse the connectivity of suitable habitats, the range of ecological discharge determined by the WUA and connectivity was 424–1060 m/s. (3) Habitat quality was divided into three levels to detail the flow demand further. When the flow was 424–530 m(3)/s or 848–1060 m(3)/s, the WUA and connectivity generally met the requirements under natural conditions. When the flow was 530–636 m(3)/s or 742–848 m(3)/s, the WUA and connectivity were in a good state. When the flow was 636–742 m(3)/s, the WUA and connectivity were in the best state. This study complements existing research on the suitability of Schizothorax habitat in Tibet, and introduces the connectivity index to enrich the method for calculating ecological water demand, providing a reference for resource regulation and the protection of aquatic organisms. MDPI 2019-08-22 2019-09 /pmc/articles/PMC6747338/ /pubmed/31443390 http://dx.doi.org/10.3390/ijerph16173045 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Zili
Deng, Yun
Li, Yong
An, Ruidong
The Ecological Water Demand of Schizothorax in Tibet Based on Habitat Area and Connectivity
title The Ecological Water Demand of Schizothorax in Tibet Based on Habitat Area and Connectivity
title_full The Ecological Water Demand of Schizothorax in Tibet Based on Habitat Area and Connectivity
title_fullStr The Ecological Water Demand of Schizothorax in Tibet Based on Habitat Area and Connectivity
title_full_unstemmed The Ecological Water Demand of Schizothorax in Tibet Based on Habitat Area and Connectivity
title_short The Ecological Water Demand of Schizothorax in Tibet Based on Habitat Area and Connectivity
title_sort ecological water demand of schizothorax in tibet based on habitat area and connectivity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747338/
https://www.ncbi.nlm.nih.gov/pubmed/31443390
http://dx.doi.org/10.3390/ijerph16173045
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