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Shao Y, Liu Y, Wang X, Li S. Exploring the evolution of ecosystem health and sustainable zoning: A perspective based on the contributions of climate change and human activities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175674. [PMID: 39173761 DOI: 10.1016/j.scitotenv.2024.175674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 08/16/2024] [Accepted: 08/19/2024] [Indexed: 08/24/2024]
Abstract
Maintaining ecosystem health (EH) in watersheds is crucial for building a national pattern of ecological security. However, a comprehensive diagnosis of watershed EH and an exploration of its driving mechanisms are still lacking. This study proposed an EH assessment model from a vitality-organization-resilience-service-environment (VORSE) perspective. Taking the Yellow River Basin of Shaanxi Province (YRBS), China, as a research object, the spatiotemporal evolution trend of EH from 2000 to 2020 was quantified. At the same time, we also quantified the respective contributions of climate change (CC) and human activities (HA) to the EH dynamics based on residual analysis. The results showed that EH in the YRBS increased by 11.80 % from 2000 to 2020, and the spatial distribution of the EH was higher in the southern region than in the northern part. At the pixel scale, areas with improving trends accounted for 90.57 % of the YRBS, while 9.43 % deteriorated, with the improving areas mainly in northern Shaanxi and the deteriorating areas in the Guanzhong region. The correlation between the EH and precipitation was primarily positive, while the correlation between the EH and temperature was mainly negative. The residual analysis showed that the contribution rate of CC to EH changes was 78.54 %, while that of HA was 21.46 %, indicating that CC was the dominant driver of EH changes in the YRBS. Specifically, 82.64 % of the improvement in EH was attributed to CC and 17.36 % to HA. Conversely, 65.30 % of the deterioration in EH was attributed to CC and 34.70 % to HA. Furthermore, CC, HA, and CC&HA dominated EH changes in 26.85 %, 3.77 %, and 69.38 % of the YRBS area, respectively. In addition, the Hurst exponent analysis identified six types of future EH development scenarios, each requiring different restoration strategies. This study provides valuable insights for future EH diagnosis, EH restoration efforts, and the formulation of sustainable development goals in other watersheds.
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Affiliation(s)
- Yajing Shao
- Yellow River Institute of Shaanxi Province, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China; Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
| | - Yansui Liu
- Yellow River Institute of Shaanxi Province, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Xiaochen Wang
- Yellow River Institute of Shaanxi Province, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
| | - Shunke Li
- Yellow River Institute of Shaanxi Province, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
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Zhang L, Zhang Y, Wang J, Liang X, Wei Y. Spatiotemporal evolution characteristics and driving forces of vegetation cover variations in the Chengdu-Chongqing region of China under the background of rapid urbanization. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:22976-22993. [PMID: 38418788 DOI: 10.1007/s11356-024-32645-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 02/21/2024] [Indexed: 03/02/2024]
Abstract
The research on the spatiotemporal changes and driving factors of ecosystems in rapidly urbanizing regions has always been a topic of widespread concern. As the fourth pole of China's economic development, the research on the Chengdu-Chongqing region has reference significance for the urbanization process of developing countries such as India, Brazil, and South Africa.The normalized difference vegetation index (NDVI) has been widely applied in studies of plant and ecosystem changes. Based on MODIS NDVI data from 2001 to 2020 and meteorological data of the same period, this study reveals the evolution of NDVI in the Chengdu-Chongqing region from three aspects: the spatiotemporal variation characteristics of NDVI, the prediction of future trends in vegetation coverage, and the response of vegetation to climate change and human activities. During the period of plant growth, the mean NDVI achieved a value of 0.78, and the vegetation coverage rate is increasing year by year. According to the Hurst index, the future NDVI in Chengdu-Chongqing region will tend to decrease, and its trend is opposite to that of the past period of time. The Chengdu-Chongqing region vegetation positively affected by human activities is greater than those negatively affected, and in terms of vegetation degradation, the impact of human activities is greater than climate change.
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Affiliation(s)
- Luoqi Zhang
- College of Resource, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yan Zhang
- College of Resource, Sichuan Agricultural University, Chengdu, 611130, China
| | - Junyi Wang
- College of Resource, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xinyu Liang
- College of Resource, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yali Wei
- College of Resource, Sichuan Agricultural University, Chengdu, 611130, China.
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Wang Y, Wang Z, Kang Y, Zhang Z, Bao D, Sun X, Su J. Assessing the win-win situation of forage production and soil organic carbon through a short-term active restoration strategy in alpine grasslands. FRONTIERS IN PLANT SCIENCE 2024; 14:1290808. [PMID: 38273956 PMCID: PMC10808524 DOI: 10.3389/fpls.2023.1290808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/19/2023] [Indexed: 01/27/2024]
Abstract
Introduction Grassland degradation has seriously affected the ecological environment and human livelihood. To abate these, implementing effective management strategies to restore and improve the service functions and productivity of degraded grasslands is crucial. Methods To evaluate the influences of restoration measures combined with different grazing intensities on short-term (1 year) grassland restoration, the changes in soil physicochemical properties, as well as plant traits under restoration measures of different grazing intensities, reseeding, and fertilization, were analyzed. Results Soil organic carbon (SOC) increased to varying degrees, whereas available nutrients decreased under all combined restoration measures. Reseeding, alone and in combination with fertilization, substantially increased SOC, improved grassland vegetation status, and enhanced grassland productivity. The aboveground biomass of Gramineae and the total aboveground biomass increased under the combined restoration measures of transferring livestock out of the pasture 45 days in advance, reseeding, and fertilization (T4). Redundancy analysis revealed a strong correlation between grassland vegetation characteristics, SOC, and available potassium. Considering soil and vegetation factors, the short-term results suggested that the combination measures in T4had the most marked positive impact on grassland restoration. Discussion These findings offer valuable theoretical insights for the ecological restoration of degraded grasslands in alpine regions.
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Affiliation(s)
- Yan Wang
- College of Grassland Science, Gansu Agricultural University, Lanzhou, China
- Key Laboratory of Grassland Ecosystem, Ministry of Education, Gansu Agricultural University, Lanzhou, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, China
| | - Zhicheng Wang
- College of Grassland Science, Gansu Agricultural University, Lanzhou, China
- Key Laboratory of Grassland Ecosystem, Ministry of Education, Gansu Agricultural University, Lanzhou, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, China
| | - Yukun Kang
- College of Grassland Science, Gansu Agricultural University, Lanzhou, China
- Key Laboratory of Grassland Ecosystem, Ministry of Education, Gansu Agricultural University, Lanzhou, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, China
| | - Zhiming Zhang
- College of Grassland Science, Gansu Agricultural University, Lanzhou, China
- Key Laboratory of Grassland Ecosystem, Ministry of Education, Gansu Agricultural University, Lanzhou, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, China
| | - Duanhong Bao
- College of Grassland Science, Gansu Agricultural University, Lanzhou, China
- Key Laboratory of Grassland Ecosystem, Ministry of Education, Gansu Agricultural University, Lanzhou, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, China
| | - Xiaomei Sun
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, China
- College of Resource and Environmental Science, Gansu Agricultural University, Lanzhou, China
| | - Junhu Su
- College of Grassland Science, Gansu Agricultural University, Lanzhou, China
- Key Laboratory of Grassland Ecosystem, Ministry of Education, Gansu Agricultural University, Lanzhou, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou, China
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