Relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China
Ecological quality (EQ) is the foundation of all ecosystem services (ESs) and is critical for the improvement of human welfare. To clarify the link between ecosystems and human well-being, the present study investigated the relationship between EQ and ESs in the Pingjiang watershed in a red soil hil...
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2021
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oai:doaj.org-article:e3d06b0e90ee4f678b11e0f1d0ba7bc52021-12-01T04:35:40ZRelationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China1470-160X10.1016/j.ecolind.2020.107119https://doaj.org/article/e3d06b0e90ee4f678b11e0f1d0ba7bc52021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X2031058Xhttps://doaj.org/toc/1470-160XEcological quality (EQ) is the foundation of all ecosystem services (ESs) and is critical for the improvement of human welfare. To clarify the link between ecosystems and human well-being, the present study investigated the relationship between EQ and ESs in the Pingjiang watershed in a red soil hilly region (southern China) in 2016. The remote sensing ecological index (RSEI) and the ecosystem service index (ESI), respectively, were used to characterize EQ and four major ESs, i.e., water yield (WY), soil conservation (SC), carbon storage (CS), and food supply (FS). The relationship between EQ and ESs was explored at the sub-watershed scale. Results showed that the EQ of the Pingjiang watershed decreased from the surroundings to the central south. The spatial distributions of SC, CS, and ESI were similar to the EQ distribution, while FS exhibited an opposite trend. The spatial aggregation patterns of RSEI and ESI were somewhat similar, with a Spearman’s correlation coefficient (r) of 0.690 (P < 0.01), indicating that the overall coordination of EQ and ESs was high. In addition to RSEI, the normalized difference vegetation index, wetness component, and the normalized differential build-up and bare soil index all had the highest correlations with SC (|r| = 0.606–0.890, P < 0.01) among the four ESs. Only the normalized difference vegetation index was significantly correlated with WY (r = 0.274, P < 0.01), while land surface temperature had the greatest correlation with CS (r = −0.691, P < 0.01). This study enhances our understanding of the spatial and quantitative relationships between EQ and ESs in the Pingjiang watershed, and could facilitate decision-making for local governments in pursuit of sustainable development in similar watersheds.Qing ZhuJiaxin GuoXi GuoLei ChenYi HanShiyu LiuElsevierarticleEcological qualityEcosystem servicesQuantitative relationshipRemote sensing ecological indexSpatial correlationEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107119- (2021) |
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Ecological quality Ecosystem services Quantitative relationship Remote sensing ecological index Spatial correlation Ecology QH540-549.5 |
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Ecological quality Ecosystem services Quantitative relationship Remote sensing ecological index Spatial correlation Ecology QH540-549.5 Qing Zhu Jiaxin Guo Xi Guo Lei Chen Yi Han Shiyu Liu Relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China |
description |
Ecological quality (EQ) is the foundation of all ecosystem services (ESs) and is critical for the improvement of human welfare. To clarify the link between ecosystems and human well-being, the present study investigated the relationship between EQ and ESs in the Pingjiang watershed in a red soil hilly region (southern China) in 2016. The remote sensing ecological index (RSEI) and the ecosystem service index (ESI), respectively, were used to characterize EQ and four major ESs, i.e., water yield (WY), soil conservation (SC), carbon storage (CS), and food supply (FS). The relationship between EQ and ESs was explored at the sub-watershed scale. Results showed that the EQ of the Pingjiang watershed decreased from the surroundings to the central south. The spatial distributions of SC, CS, and ESI were similar to the EQ distribution, while FS exhibited an opposite trend. The spatial aggregation patterns of RSEI and ESI were somewhat similar, with a Spearman’s correlation coefficient (r) of 0.690 (P < 0.01), indicating that the overall coordination of EQ and ESs was high. In addition to RSEI, the normalized difference vegetation index, wetness component, and the normalized differential build-up and bare soil index all had the highest correlations with SC (|r| = 0.606–0.890, P < 0.01) among the four ESs. Only the normalized difference vegetation index was significantly correlated with WY (r = 0.274, P < 0.01), while land surface temperature had the greatest correlation with CS (r = −0.691, P < 0.01). This study enhances our understanding of the spatial and quantitative relationships between EQ and ESs in the Pingjiang watershed, and could facilitate decision-making for local governments in pursuit of sustainable development in similar watersheds. |
format |
article |
author |
Qing Zhu Jiaxin Guo Xi Guo Lei Chen Yi Han Shiyu Liu |
author_facet |
Qing Zhu Jiaxin Guo Xi Guo Lei Chen Yi Han Shiyu Liu |
author_sort |
Qing Zhu |
title |
Relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China |
title_short |
Relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China |
title_full |
Relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China |
title_fullStr |
Relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China |
title_full_unstemmed |
Relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China |
title_sort |
relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern china |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/e3d06b0e90ee4f678b11e0f1d0ba7bc5 |
work_keys_str_mv |
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