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Spatial–Temporal Correlations between Soil pH and NPP of Grassland Ecosystems in the Yellow River Source Area, China
In recent years, ecological concerns such as vegetation destruction, permafrost deterioration, and river drying have been paid much more attention to on the Yellow River Basin in China. Soil pH is regarded to be the fundamental variable among soil properties for vegetation growth, while net primary...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323939/ https://www.ncbi.nlm.nih.gov/pubmed/35886703 http://dx.doi.org/10.3390/ijerph19148852 |
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author | Zhang, Xiaoning Nian, Lili Liu, Xingyu Li, Xiaodan Adingo, Samuel Liu, Xuelu Wang, Quanxi Yang, Yingbo Zhang, Miaomiao Hui, Caihong Yu, Wenting Zhang, Xinyu Ma, Wenjun Zhang, Yaoquan |
author_facet | Zhang, Xiaoning Nian, Lili Liu, Xingyu Li, Xiaodan Adingo, Samuel Liu, Xuelu Wang, Quanxi Yang, Yingbo Zhang, Miaomiao Hui, Caihong Yu, Wenting Zhang, Xinyu Ma, Wenjun Zhang, Yaoquan |
author_sort | Zhang, Xiaoning |
collection | PubMed |
description | In recent years, ecological concerns such as vegetation destruction, permafrost deterioration, and river drying have been paid much more attention to on the Yellow River Basin in China. Soil pH is regarded to be the fundamental variable among soil properties for vegetation growth, while net primary productivity (NPP) is also an essential indicator to reflect the healthy growth of vegetation. Due to the limitation of on-site samples, the spatial–temporal variations in soil pH and NPP, as well as their intrinsic mechanisms, remain unknown, especially in the Yellow River source area, China. Therefore, it is imperative to investigate the coupling relationship between soil pH and NPP of the area. The study coupled MODIS reflectance data (MOD09A1) with on-site soil pH to estimate spatial–temporal variations in soil pH, explore the response of NPP to soil pH, and assess the extent to which they contribute to grassland ecosystems, thus helping to fill knowledge gaps. Results indicated that the surface spectral reflectance for seven bands could express the geographic pattern of soil pH by applying a multiple linear regression equation; NPP exhibited an increasing trend while soil pH was the contrary in summer from 2000 to 2021. In summer, NPP was negatively correlated with soil pH and there was a lag effect in the response of NPP to soil pH, revealing a correlation between temperate steppes > montane meadows > alpine meadows > swamps in different grassland ecosystems. In addition, contribution indices for temperate steppes and montane meadows were positive whereas they were negative for swamps and alpine meadows, which are apparent findings. The contribution index of montane and alpine meadows was greater than that of temperate steppes and swamps. The approach of the study can enable managers to easily identify and rehabilitate alkaline soil and provides an important reference and practical value for ecological restoration and sustainable development of grassland ecosystems in alpine regions. |
format | Online Article Text |
id | pubmed-9323939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93239392022-07-27 Spatial–Temporal Correlations between Soil pH and NPP of Grassland Ecosystems in the Yellow River Source Area, China Zhang, Xiaoning Nian, Lili Liu, Xingyu Li, Xiaodan Adingo, Samuel Liu, Xuelu Wang, Quanxi Yang, Yingbo Zhang, Miaomiao Hui, Caihong Yu, Wenting Zhang, Xinyu Ma, Wenjun Zhang, Yaoquan Int J Environ Res Public Health Article In recent years, ecological concerns such as vegetation destruction, permafrost deterioration, and river drying have been paid much more attention to on the Yellow River Basin in China. Soil pH is regarded to be the fundamental variable among soil properties for vegetation growth, while net primary productivity (NPP) is also an essential indicator to reflect the healthy growth of vegetation. Due to the limitation of on-site samples, the spatial–temporal variations in soil pH and NPP, as well as their intrinsic mechanisms, remain unknown, especially in the Yellow River source area, China. Therefore, it is imperative to investigate the coupling relationship between soil pH and NPP of the area. The study coupled MODIS reflectance data (MOD09A1) with on-site soil pH to estimate spatial–temporal variations in soil pH, explore the response of NPP to soil pH, and assess the extent to which they contribute to grassland ecosystems, thus helping to fill knowledge gaps. Results indicated that the surface spectral reflectance for seven bands could express the geographic pattern of soil pH by applying a multiple linear regression equation; NPP exhibited an increasing trend while soil pH was the contrary in summer from 2000 to 2021. In summer, NPP was negatively correlated with soil pH and there was a lag effect in the response of NPP to soil pH, revealing a correlation between temperate steppes > montane meadows > alpine meadows > swamps in different grassland ecosystems. In addition, contribution indices for temperate steppes and montane meadows were positive whereas they were negative for swamps and alpine meadows, which are apparent findings. The contribution index of montane and alpine meadows was greater than that of temperate steppes and swamps. The approach of the study can enable managers to easily identify and rehabilitate alkaline soil and provides an important reference and practical value for ecological restoration and sustainable development of grassland ecosystems in alpine regions. MDPI 2022-07-21 /pmc/articles/PMC9323939/ /pubmed/35886703 http://dx.doi.org/10.3390/ijerph19148852 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Xiaoning Nian, Lili Liu, Xingyu Li, Xiaodan Adingo, Samuel Liu, Xuelu Wang, Quanxi Yang, Yingbo Zhang, Miaomiao Hui, Caihong Yu, Wenting Zhang, Xinyu Ma, Wenjun Zhang, Yaoquan Spatial–Temporal Correlations between Soil pH and NPP of Grassland Ecosystems in the Yellow River Source Area, China |
title | Spatial–Temporal Correlations between Soil pH and NPP of Grassland Ecosystems in the Yellow River Source Area, China |
title_full | Spatial–Temporal Correlations between Soil pH and NPP of Grassland Ecosystems in the Yellow River Source Area, China |
title_fullStr | Spatial–Temporal Correlations between Soil pH and NPP of Grassland Ecosystems in the Yellow River Source Area, China |
title_full_unstemmed | Spatial–Temporal Correlations between Soil pH and NPP of Grassland Ecosystems in the Yellow River Source Area, China |
title_short | Spatial–Temporal Correlations between Soil pH and NPP of Grassland Ecosystems in the Yellow River Source Area, China |
title_sort | spatial–temporal correlations between soil ph and npp of grassland ecosystems in the yellow river source area, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323939/ https://www.ncbi.nlm.nih.gov/pubmed/35886703 http://dx.doi.org/10.3390/ijerph19148852 |
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