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Li Y, Zhang J, Zhu H, Zhou Z, Jiang S, He S, Zhang Y, Huang Y, Li M, Xing G, Li G. Soil Erosion Characteristics and Scenario Analysis in the Yellow River Basin Based on PLUS and RUSLE Models. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1222. [PMID: 36673979 PMCID: PMC9858744 DOI: 10.3390/ijerph20021222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/03/2023] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
Soil erosion is an important global environmental issue that severely affects regional ecological environment and socio-economic development. The Yellow River (YR) is China's second largest river and the fifth largest one worldwide. Its watershed is key to China's economic growth and environmental security. In this study, six impact factors, including rainfall erosivity (R), soil erosivity (K), slope length (L), slope steepness (S), cover management (C), and protective measures (P), were used. Based on the revised universal soil loss equation (RUSLE) model, and combined with a geographic information system (GIS), the temporal and spatial distribution of soil erosion (SE) in the YR from 2000 to 2020 was estimated. The patch-generating land use simulation (PLUS) model was used to simulate the land-use and land-cover change (LUCC) under two scenarios (natural development and ecological protection) in 2040; the RUSLE factor P was found to be associated with LUCC in 2040, and soil erosion in the Yellow River Basin (YRB) in 2040 under the two scenarios were predicted and evaluated. This method has great advantages in land-use simulation, but soil erosion is greatly affected by rainfall and slope, and it only focuses on the link between land-usage alteration and SE. Therefore, this method has certain limitations in assessing soil erosion by simulating and predicting land-use change. We found that there is generally slight soil erosivity in the YRB, with the most serious soil erosion occurring in 2000. Areas with serious SE are predominantly situated in the upper reaches (URs), followed by the middle reaches (MRs), and soil erosion is less severe in the lower reaches. Soil erosion in the YRB decreased 11.92% from 2000 to 2020; thus, soil erosion has gradually reduced in this area over time. Based on the GIS statistics, land-use change strongly influences SE, while an increase in woodland area has an important positive effect in reducing soil erosion. By predicting land-use changes in 2040, compared to the natural development scenario, woodland and grassland under the ecological protection scenario can be increased by 1978 km2 and 2407 km2, respectively. Soil erosion can be decreased by 6.24%, indicating the implementation of woodland and grassland protection will help reduce soil erosion. Policies such as forest protection and grassland restoration should be further developed and implemented on the MRs and URs of the YR. Our research results possess important trend-setting significance for soil erosion control protocols and ecological environmental protection in other large river basins worldwide.
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Affiliation(s)
- Yanyan Li
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Jinbing Zhang
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Hui Zhu
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Zhimin Zhou
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, China
- Regional Planning and Development Center, Henan University, Kaifeng 475004, China
| | - Shan Jiang
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Shuangyan He
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Ying Zhang
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Yicheng Huang
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Mengfan Li
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Guangrui Xing
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Guanghui Li
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
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102
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Liao W, Ye D, Yuan R, Zhang Y, Deng Q. Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept. Sci Prog 2023; 106:368504221145563. [PMID: 36637231 PMCID: PMC10450306 DOI: 10.1177/00368504221145563] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
To alleviate the deteriorating environment and protect biodiversity, China has implemented a natural forest protection system, demonstrating the importance of sustainable forest management for ecological conservation and socio-economic development, including the complete cessation of commercial logging of natural forests. Financial compensation is adopted to increase farmers' enthusiasm within the commercial Logging Ban of Natural Forests framework. This study used the contingent valuation method and the Heckman two-stage model to explore farmers' willingness to participate in the Logging Ban of Natural Forests and the willingness to accept by survey data on 486 farming households. 72% of farmers are willing to join the Logging Ban of Natural Forests. Their willingness to accept is 517.95 yuan/ha per year, higher than the current state subsidy standard (225 yuan/ha per year). The key factors influencing willingness to accept include the education and degree of fragmentation of woodland and village collective willingness to accept. The age of the rural household head, the fragmentation of the forest, and the evaluation of the Logging Ban of Natural Forests policies have inhibited the increase of farmers' compensation. Farmers' assessment of the Logging Ban of Natural Forests policy only impacts the medium level of compensation. The age and the degree of forest fragmentation would affect the higher compensation amount. The results from this study suggest more financial sources and increased compensation standards are needed. The government should also strengthen ecological awareness and adopt different compensation standards for other groups to achieve sustainable forestry.
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Affiliation(s)
- Wenmei Liao
- School of Economics and Management, Jiangxi Agricultural University, Nanchang, China
| | - Danyang Ye
- School of Economics and Management, Jiangxi Agricultural University, Nanchang, China
| | - Ruolan Yuan
- School of Economics and Management, Jiangxi Agricultural University, Nanchang, China
| | - Yaoqi Zhang
- College of Forestry, Wildlife and Environment, Auburn University, Auburn, AL, USA
| | - Qian Deng
- School of Economics and Management, Jiangxi Agricultural University, Nanchang, China
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103
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Wu Q, Song J, Sun H, Huang P, Jing K, Xu W, Wang H, Liang D. Spatiotemporal variations of water conservation function based on EOF analysis at multi time scales under different ecosystems of Heihe River Basin. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 325:116532. [PMID: 36419281 DOI: 10.1016/j.jenvman.2022.116532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 10/01/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
Water conservation function is a critical terrestrial ecosystem service in providing water supply and achieving water security, which has raised concerns under the pressure of climate change. However, the knowledge of variance on multi-time scale, spatiotemporal dynamic, and ecosystem variance of water conservation is insufficient. In this paper, the annual, monthly, and daily scales of water conservation and the spatiotemporal pattern of monthly water conservation were estimated based on the SWAT model from 2010 to 2020 in the Heihe River Basin (HRB). Additionally, EOF (Empirical orthogonal function) analysis was conducted to decompose the time series of water conservation function distribution into temporal coefficients and spatial patterns. The HRB was categorized into six representative ecosystems with three slope grades to illustrate the variance of water conservation function. The annual water conservation depth (WC) slightly decreased (-10.36 mm/10a) from 2010 to 2020, the monthly WC was dominated by the effects of seasonal variation, and the daily WC was highly nonlinear. The high variability and importance region is mainly located in the upstream and the central area of midstream, which deserves more attention for ecological management and priority protection. Moreover, the forest ecosystem is of the highest resilience and great ecological significance, which increased risk of reduced water conservation under the lack of precipitation. Even in a forest-dominated basin, water conservation can be impacted by other ecosystems with the strong influence of human activities. Our results provide scientific evidence for the improvement of water conservation capacity and making the adapted land use policy in Yellow River basins.
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Affiliation(s)
- Qiong Wu
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Jinxi Song
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.
| | - Haotian Sun
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Peng Huang
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Kexing Jing
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Wenjin Xu
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Huiyuan Wang
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Dong Liang
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
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104
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Chen W, Zhou T, Liang J. Urbanization, ecosystem services, and their interactive coercive relationship in Hunan Province, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:3416-3431. [PMID: 35945327 DOI: 10.1007/s11356-022-22370-9] [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: 01/26/2022] [Accepted: 07/29/2022] [Indexed: 06/15/2023]
Abstract
Failing to balance developmental considerations of the urbanization level (UL) and ecosystem services (ESs) causes issues such as land degradation and social conflict, presenting significant challenges for regional sustainable development. Although numerous studies reported the relationship between UL and ESs, only a few have explored the coupling coordination relationship between urbanization subsystems and ESs from a multidimensional perspective. This study aimed to measure the spatiotemporal characteristics of UL and ESs in Hunan Province from 2000 to 2018 using statistical data and remote sensing monitoring data regarding land use. The multidimensional coupling coordination relationship between urbanization systems and ESs was analyzed using a coupling coordination degree (CCD) model. The results showed that the UL of Hunan Province increased from 2000 to 2018, was spatially high in the east and low in the west, and extended outward from city centers. The average ecosystem services value (ESV) in Hunan Province showed a decreasing trend with some fluctuation. The average ESV in mountainous areas and lake areas was higher than that in the areas surrounding major urban agglomerations. Although the overall CCD between UL and ESs in Hunan Province increased during the study period and entered the coordination stage, the degree of coupling coordination between urbanization subsystems and ESs varied greatly. Thus, the findings of the present study can support the formulation of policies for ecosystem protection and sustainable urbanization in Hunan Province.
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Affiliation(s)
- Wanxu Chen
- Department of Geography, School of Geography and Information Engineering, China University of Geosciences, No. 68, Jincheng Street, East Lake New Technology Development Zone, Wuhan, Hubei Province, 430078, People's Republic of China.
| | - Ting Zhou
- School of Geographical Science, Fujian Normal University, Fuzhou, 350007, China
| | - Jiale Liang
- School of Public Administration, China University of Geosciences, Wuhan, 430074, China
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105
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Yuan Y, Bai Z, Zhang J, Huang Y. Investigating the trade-offs between the supply and demand for ecosystem services for regional spatial management. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 325:116591. [PMID: 36419288 DOI: 10.1016/j.jenvman.2022.116591] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 10/15/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
Understanding the supply and demand characteristics of ecosystem services (ESs) and their trade-offs is the basis for effective ecosystem management and the improvement of human well-being. However, current management practices based on the trade-offs between the supply and demand for ESs remain limited. This study aimed to integrate ES trade-offs into regional spatial management. With Changzhi, China, as the study area, this study evaluated the supply, demand, and trade-offs of food provision, water conservation, soil retention, and carbon sequestration by linking multi-source data and using spatial analysis tools, including the InVEST model, ArcGIS, and GeoDA. Based on the trade-offs and importance of different ecological functions, we constructed an urban spatial management framework and proposed recommendations for optimization in different management zones. The results showed that (1) the supply and demand for multiple ESs exhibited spatial heterogeneity. Except for water conservation, the supply of other ESs met the demand of the city, but there were still obvious deficits in some regions. (2) In terms of the ES supply, there were trade-offs between food production and other ESs, and synergies existed among water conservation, soil retention, and carbon sequestration. In terms of the ES demand, the four ESs exhibited synergistic relationships. In the cluster analysis, ES supply and demand were divided into four ES bundles, respectively. (3) The spatial mismatch of ESs in the sub-watersheds of the study area was obvious. The ESDR coldspots for the four ESs were primarily located in the urban built-up areas in the central and southern regions of the city. The ESDR hotspots of soil retention and carbon sequestration were mainly distributed in the eastern and northwestern regions of Changzhi, which are less urbanized. There were few ESDR hotspots for food production and water conservation. (4) Based on the regional spatial management framework, Changzhi was divided into ten zones, including extremely important, moderately important, important, supply-demand risk management, soil erosion management, and high food production areas. The results and conclusions of this study provide a basis for spatial planning and ecosystem management.
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Affiliation(s)
- Yuan Yuan
- School of Land Science and Technology, China University of Geosciences, Beijing, 100083, China
| | - Zhongke Bai
- School of Land Science and Technology, China University of Geosciences, Beijing, 100083, China; Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, Beijing, 100035, China; Technology Innovation Center of Ecological Restoration Engineering in Mining Area, Ministry of Natural Resources, Beijing, 100035, China.
| | - Junjie Zhang
- Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou, 510060, China
| | - Yuhan Huang
- School of Land Science and Technology, China University of Geosciences, Beijing, 100083, China
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106
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Li F, Yin X, Shao M. Natural and anthropogenic factors on China's ecosystem services: Comparison and spillover effect perspective. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 324:116064. [PMID: 36179477 DOI: 10.1016/j.jenvman.2022.116064] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/06/2022] [Accepted: 08/19/2022] [Indexed: 06/16/2023]
Abstract
With the development of urbanization, ecological space is increasingly disturbed and invaded by human activities. From 2000 to 2020, the value of ecosystem services in China decreased from 28.05 to 27.77 trillion yuan. This paper combines the natural and social data of 370 administrative units in China from 2000 to 2020 with the GTWR model. Our results show that in most regions of China, the coefficient value of factor GDP or POP is significantly higher than that of other factors. The regions with higher natural factors coefficient value are concentrated in the northwest and southeast. In addition, this study found that the driving factors and ESV have geographical spillover effects. The above conclusions have important practical significance for planning policies according to local conditions.
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Affiliation(s)
- Fangzheng Li
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China.
| | - Xiaoxu Yin
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China.
| | - Ming Shao
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China.
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107
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Zhang M, Zhang L, He H, Ren X, Lv Y, Niu Z, Chang Q, Xu Q, Liu W. Improvement of ecosystem quality in National Key Ecological Function Zones in China during 2000-2015. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 324:116406. [PMID: 36352714 DOI: 10.1016/j.jenvman.2022.116406] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/31/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
Improving ecosystem quality is the ultimate goal of ecological restoration projects and sustainable ecosystem management. However, previous results of ecosystem quality lack comparability among different regions when assessing the effectiveness of ecological restoration projects on the regional or national scales, due to the influence of geographical and climatic background conditions. Here we proposed a new index, ecosystem quality ratio (EQR), by integrating the status of landscape structure, ecosystem services, ecosystem stability, and human disturbance relative to their reference conditions, and assessed the EQR changes in China's counties and National Key Ecological Function Zones (NKEFZs) from 1990 to 2015. The results showed that the average ecosystem quality of China's counties deviated from the reference condition by 28%. EQR decreased by 1.2% during 1990-2000 but increased by 3.7% during 2000-2015. Those counties with increasing EQR in 2000-2015 occupy 64.7%, with obviously increasing counties mainly located in the water conservation, biodiversity maintenance, and water and soil conservation types of NKEFZs. The EQR increase in counties within NKEFZs was 3.65 times that outside of NKEFZs. Remarkable improvement of ecosystem quality occurred in the forest region in Changbai Mountain, biodiversity and soil conservation region in Wuling Mountains, and hilly and gully region of Loess Plateau, where EQR increases mainly resulted from the conversion of farmland to forest or grassland and consequent increases in ecosystem services and stability. The magnitude of EQR enhancement showed a positive relationship with the increase in forest and grassland coverage in NKEFZs. Our results highlight the important role of ecological restoration projects in improving ecosystem quality in China, and demonstrate the feasibility of the new index (EQR) for the assessment of ecosystem quality in terms of ecosystem management and restoration.
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Affiliation(s)
- Mengyu Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Li Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China.
| | - Honglin He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China.
| | - Xiaoli Ren
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Yan Lv
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China
| | - Zhong'en Niu
- School of Resources and Environmental Engineering, Ludong University, Shandong, 264025, China
| | - Qingqing Chang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qian Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Weihua Liu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
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108
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Xiao J, Xiong K. A review of agroforestry ecosystem services and its enlightenment on the ecosystem improvement of rocky desertification control. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 852:158538. [PMID: 36067859 DOI: 10.1016/j.scitotenv.2022.158538] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 09/01/2022] [Accepted: 09/01/2022] [Indexed: 06/15/2023]
Abstract
Agroforestry (AF) has become an important strategy in reconciling the contradictory requirements of environmental protection and economic development in ecologically fragile areas, and whose multiple ecosystem services provide effective ways to promote the restoration of degraded ecosystems in the region. However, agroforestry ecosystem services (AFES) are usually constrained by their generative elements (vulnerability, structure, function, and ecological assets) and service management-both crucial for informed decision-making which enhances AFES supply capacity and AF sustainable management. Karst rocky desertification (KRD) is a typical case in an ecologically fragile area, and within the KRD region greatly relevant for promoting AFES as a strategy for restoring degraded regional ecosystems and for achieving sustainable development goals. In this study, a total of 164 publications related to AFES that met a set of inclusion criteria were obtained through the Scopus database using the literature review method of searching, appraisal, synthesis, and analysis. From the systematic literature review results, (i) we found that the number of relevant publications generally exhibited a year-on-year growth trend, with AFES generation elements being the most common topic (68.11 % of publications), and service management research being the second most common (31.89 % of publications); (ii) we summarised the main progress and landmark results of AFES generation elements and service management research and explored the relevant key scientific questions; and (iii) the above information enlightened the key improvement areas of KRD control ecosystem within three aspects: natural environment, agricultural development, and human-environment relationship. This study provides agroforestry practitioners and relevant decision-makers with information for improving and managing the supply capacity of AFES, and also presents important insights on the KRD control ecosystem to land degradation restoration technicians.
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Affiliation(s)
- Jie Xiao
- School of Karst Science, Guizhou Normal University, Guiyang 550001, People's Republic of China; State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang 550001, People's Republic of China
| | - Kangning Xiong
- School of Karst Science, Guizhou Normal University, Guiyang 550001, People's Republic of China; State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang 550001, People's Republic of China.
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109
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Liu Y, Liu S, Wang F, Liu H, Li M, Sun Y, Wang Q, Yu L. Identification of key priority areas under different ecological restoration scenarios on the Qinghai-Tibet Plateau. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 323:116174. [PMID: 36095988 DOI: 10.1016/j.jenvman.2022.116174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 08/18/2022] [Accepted: 09/01/2022] [Indexed: 06/15/2023]
Abstract
With the intensification of climate warming and human activities, the ecosystems on the Qinghai-Tibet Plateau (QTP) are facing increasing threats which leads to extensive ecological degradation. Ecological restoration measures need to be implemented to improve biodiversity and ecosystem services to mitigate the impact of climate change and human disturbances. However, the key priority areas (KPAs) for ecological restoration are not clear on the QTP, and the benefits of ecosystem services for ecological restoration are often ignored. In this study, we are the first to identify the KPAs based on the quantitative evaluation method and multicriteria optimization algorithm under five restoration scenarios aiming at ecosystem service improvement on the QTP. Results showed that: (1) The benefits of ecological restoration for climate change mitigation and associated costs under different scenarios showed generally similar spatial variability, exhibiting higher in the south and lower in the west, which were different from those for biodiversity. (2) The restoration priorities in Sichuan and Yunnan were generally higher under scenarios Ⅱ and Ⅴ, while in Xinjiang, Sichuan, Yunnan, and western and southern Tibet were higher under scenarios Ⅰ, Ⅲ and Ⅳ. (3) For different ecosystems, the similarities lied in that the restoration priorities of wetland ecosystem were the highest, while those of desert ecosystem were the lowest under five restoration scenarios. (4) When the restoration area requirement was 25% of the total degraded area, the highest restoration priority levels under scenarios Ⅰ, Ⅲ and Ⅳ were mainly distributed in Guinan, Renbu, Nierong and Chayu counties, and under scenarios Ⅱ and Ⅴ were mainly distributed in Renbu, Lang and Guinan counties. When the restoration area requirements were 50% and 75% of the total degraded area, the counties with higher restoration priority levels under scenario Ⅱ were different from those under other four scenarios. This study identified the KPAs under different restoration scenarios, which provided references for the restoration measures implementation on the QTP.
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Affiliation(s)
- Yixuan Liu
- School of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China
| | - Shiliang Liu
- School of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China.
| | - Fangfang Wang
- School of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China
| | - Hua Liu
- School of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China
| | - Mingqi Li
- School of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China
| | - Yongxiu Sun
- School of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China
| | - Qingbo Wang
- School of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China
| | - Lu Yu
- School of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China
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110
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Zhang XM, Brandt M, Yue YM, Tong XW, Wang KL, Fensholt R. The Carbon Sink Potential of Southern China After Two Decades of Afforestation. EARTH'S FUTURE 2022; 10:e2022EF002674. [PMID: 37035441 PMCID: PMC10078587 DOI: 10.1029/2022ef002674] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 10/05/2022] [Accepted: 11/04/2022] [Indexed: 06/19/2023]
Abstract
Afforestation and land use changes that sequester carbon from the atmosphere in the form of woody biomass have turned southern China into one of the largest carbon sinks globally, which contributes to mitigating climate change. However, forest growth saturation and available land that can be forested limit the longevity of this carbon sink, and while a plethora of studies have quantified vegetation changes over the last decades, the remaining carbon sink potential of this area is currently unknown. Here, we train a model with multiple predictors characterizing the heterogeneous landscapes of southern China and predict the biomass carbon carrying capacity of the region for 2002-2017. We compare observed and predicted biomass carbon density and find that during about two decades of afforestation, 2.34 PgC have been sequestered between 2002 and 2017, and a total of 5.32 Pg carbon can potentially still be sequestrated. This means that the region has reached 73% of its aboveground biomass carbon carrying capacity in 2017, which is 12% more than in 2002, equal to a decrease of 0.77% per year. We identify potential afforestation areas that can still sequester 2.39 PgC, while old and new forests have reached 87% of their potential with 1.85 PgC remaining. Our work locates areas where vegetation has not yet reached its full potential but also shows that afforestation is not a long-term solution for climate change mitigation.
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Affiliation(s)
- X. M. Zhang
- Guangxi Key Laboratory of Karst Ecological Processes and ServicesInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaChina
- Huanjiang Observation and Research Station for Karst EcosystemChinese Academy of SciencesHuanjiangChina
- University of Chinese Academy of SciencesBeijngChina
| | - M. Brandt
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
| | - Y. M. Yue
- Guangxi Key Laboratory of Karst Ecological Processes and ServicesInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaChina
- Huanjiang Observation and Research Station for Karst EcosystemChinese Academy of SciencesHuanjiangChina
| | - X. W. Tong
- Guangxi Key Laboratory of Karst Ecological Processes and ServicesInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaChina
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
| | - K. L. Wang
- Guangxi Key Laboratory of Karst Ecological Processes and ServicesInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaChina
- Huanjiang Observation and Research Station for Karst EcosystemChinese Academy of SciencesHuanjiangChina
| | - R. Fensholt
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
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111
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Han Q, Zhang J, Shi X, Zhou D, Ding Y, Peng S. Ecological function-oriented vegetation protection and restoration strategies in China's Loess Plateau. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 323:116290. [PMID: 36261992 DOI: 10.1016/j.jenvman.2022.116290] [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: 05/31/2022] [Revised: 09/09/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Potential natural vegetation (PNV) can provide a reference for vegetation protection and restoration. Previous studies often used PNV patterns as a reference; however, they ignored PNV ecological functions, impeding the establishment of function-oriented vegetation protection and restoration plans. To address this issue, this study used Loess Plateau of China as a case study to propose an ecological function-oriented vegetation protection and restoration framework based on PNV patterns and ecological functions. The results showed that PNV patterns, ecological functions, and their synergistic and trade-off relationships represented distinct spatial differences that would be largely influenced by climate change. This suggested that vegetation protection and restoration should be adapted to climate change. The protection and potential restoration regions for actual forest and grass were detected based on the stable PNV regions. Approximately 34.5%-41.4% of actual forest and 81.2%-82.3% of actual grass should be protected. Further, 13.9%-16.2% of actual forest and 14.7%-15.2% of actual grass have the potential to be restored to grass and forest, respectively, and lastly, the priority regions of forest and grass protection and potential restoration were determined according to a composite ecological functions index. Moreover, forest protection should be prioritized, followed by forest potential restoration, grass potential restoration, and grass protection. These results would be conducive to forest and grass protection and restoration of the Loess Plateau. The proposed framework is applicable to other regions of the world for developing vegetation protection and restoration strategies.
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Affiliation(s)
- Qinggong Han
- College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China
| | - Jishen Zhang
- College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China
| | - Xinjie Shi
- College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China
| | - Daquan Zhou
- College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China
| | - Yongxia Ding
- Shaanxi Key Laboratory of Disasters Monitoring & Mechanism Simulation, College of Geography and Environment, Baoji University of Arts and Sciences, Baoji, 721013, China
| | - Shouzhang Peng
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, 712100, China.
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112
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Xu Z, Peng J, Qiu S, Liu Y, Dong J, Zhang H. Responses of spatial relationships between ecosystem services and the Sustainable Development Goals to urbanization. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 850:157868. [PMID: 35944627 DOI: 10.1016/j.scitotenv.2022.157868] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
Ecosystem services (ES) are the important component supporting the United Nations Sustainable Development Goals (SDGs) realization. In recent decades, rapid urbanization has strongly affected the relationship between ES and SDGs, resulting in the decoupling of ES and SDGs. However, the key urbanization factors dominating the relationship between ES and SDGs are still unclear. In this study, a structural equation model was constructed to explore the impact path and its change of urbanization structure and scale factors on the relationship between ES and SDGs. The results showed that the economic urbanization structure indicator (Engel coefficient) under the influence of technology import significantly impacted the relationship between ES and SDGs in different periods. Under the influence of changes in urban and rural population, population urbanization structure indicator (labor force population proportion) had significant impact on the relationship between ES and economic SDGs, which was significantly stronger in the period of 2010-2015 than in the period of 2000-2005. Land urbanization scale indicators (construction land proportion, and protected natural area proportion) also significantly impacted the relationship between ES and SDGs. Especially for ecological SDGs, the negative impact of construction land on protected natural area increased significantly in the period of 2010-2015, which might further weaken the ES's contribution to SDGs. This study highlighted that along with the continuous transformation of China's society, the key impacts on the relationship between ES and SDGs resulted from the urbanization indicators of scale as well as structure, which provided an extensive support for the sustainable development and social transformation of developing countries and regions.
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Affiliation(s)
- Zihan Xu
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Jian Peng
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
| | - Sijing Qiu
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Yanxu Liu
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Jianquan Dong
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Hanbing Zhang
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
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113
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Xiao Y, Huang M, Xie G, Zhen L. Evaluating the impacts of land use change on ecosystem service values under multiple scenarios in the Hunshandake region of China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 850:158067. [PMID: 35981581 DOI: 10.1016/j.scitotenv.2022.158067] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/09/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
Changes in land use in an agro-pastoral region affect the delivery of ecosystem services. The trajectory of future land use change and its impacts on human society are not yet well understood, which poses a challenge to efforts to balance the socioeconomic development with the supply of ecosystem services. Taking the Hunshandake region for a case study, we developed four land use scenarios, and projected the future land use patterns under those scenarios using the GeoSOS-FLUS model. We then assessed the ecosystem service values (ESV) using a modification of the equivalent-coefficient method that accounts for differences in net primary production, and explored the impacts of land use change on ESV from 2018 to 2030. We found important land use conversions among the forest, grassland, and cropland uses, mainly in the southern part of our study area. The presence of ESV change hotspots and cold spots suggested that the changes were clustered in the southeastern part. The ESV gain and loss matrix showed that the land use changes under a scenario that prioritized ecosystem services and the comprehensive development scenario increased ESV from 2018 to 2030 with the conversion of cropland to forest. Our results provide important knowledge to inform land use decisions and facilitate sustainable development in the Hunshandake region.
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Affiliation(s)
- Yu Xiao
- Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China.
| | - Mengdong Huang
- Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Gaodi Xie
- Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Lin Zhen
- Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China
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114
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Geng J, Yuan M, Xu S, Bai T, Xiao Y, Li X, Xu D. Urban Expansion Was the Main Driving Force for the Decline in Ecosystem Services in Hainan Island during 1980-2015. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15665. [PMID: 36497740 PMCID: PMC9739161 DOI: 10.3390/ijerph192315665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 06/17/2023]
Abstract
Hainan Island is one of China's most ecologically diverse areas. Human activities and climate change have recently influenced Hainan Island's ecosystem services. Therefore, scientific methods are urgently needed to investigate the characteristics of these services' spatial and temporal variations and their driving mechanisms for maintaining Hainan Island's biodiversity and high-quality ecological conservation. Based on multivariate remote sensing and reanalysis data, this study analysed the spatial and temporal variations in water retention, soil conservation, carbon sequestration, and oxygen release services on Hainan Island during 1980-2015 using various ecosystem service models such as INVEST, CASA and RULSE. Then, we analysed different ecosystem service drivers using a random forest model. The results indicated that (1) from 1980 to 2015, the change characteristics of different ecosystem types (arable, forest, and grassland) decreased, and the proportion of decrease was 0.98%, 0.55% and 0.36%, respectively. Built-up and water increased significantly, and the proportion of increase reached 1.46% and 0.51%, respectively. (2) Hainan Island's functions of water retention, soil conservation, carbon sequestration, and oxygen release services decreased from 23.31 billion m3, 2.89 billion t, 9.68 million t and 56.05 million t in 1980 to 23.15 billion m3, 2.79 billion t, 9.42 million t and 55.53 million t in 2015, respectively. The high value area was mainly distributed in Hainan Island's central mountainous area, and the low value area was mainly distributed in the lower-elevation coastal area. (3) In the past 35 years, urban expansion has been the leading factor in the reduction of Hainan Island's ecosystem service capacity. However, its central nature reserve and other forms of ecological protection have improved its ecosystem service capacity, which has alleviated the overall declining trend of its amount of ecosystem service functions. (4) The driving forces for the spatial distribution of Hainan Island's ecosystem services were analysed using a random forest algorithm, which indicated that its spatial distribution was mainly driven by rainfall, soil moisture, actual evapotranspiration, maximum temperature, and minimum temperature. This study is expected to help planners develop effective environmental policies to accommodate the potential ecological risks associated with urban expansion during the construction of Hainan Island's future free trade port while filling the gaps in existing studies.
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Affiliation(s)
- Jia Geng
- International Hospitality Management School, University of Sanya, Sanya 572000, China
| | - Mingsheng Yuan
- School of Business Administration, Northeastern University, Shenyang 110819, China
| | - Shen Xu
- School of Psychological and Cognitive Sciences, Peking University, Beijing 100871, China
| | - Tingting Bai
- School of Business Administration, Northeastern University, Shenyang 110819, China
| | - Yang Xiao
- Academician Workstation of Zhai Mingguo, University of Sanya, Sanya 572022, China
| | - Xiaopeng Li
- The Third Engineering Co., Ltd. of China Railway 22nd Bureau Group, Xiamen 361000, China
| | - Dong Xu
- State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100091, China
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115
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Hao C, Wu S, Zhang W, Chen Y, Ren Y, Chen X, Wang H, Zhang L. A critical review of Gross ecosystem product accounting in China: Status quo, problems and future directions. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 322:115995. [PMID: 36037591 DOI: 10.1016/j.jenvman.2022.115995] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/28/2022] [Accepted: 08/08/2022] [Indexed: 06/15/2023]
Abstract
As a measure of ecosystems' contribution to human well-being, the concept of Gross Ecosystem Product (GEP) is an integrated monetary index for the evaluation of final ecosystem services, which has attracted widespread attention around the world. In China, both national and local governments have launched a series of GEP accounting pilot projects, with the aim to incorporate this new concept into real world decision-making. However, a critical review of these practices remains lacking, especially regarding their current status and problems. In this study, by performing a systematic review and data integration of current literature and government documents, we comprehensively described the GEP accounting practices in China, including pilot project's coverage, accounting methods, and policy application. Then, we identified five major problems in current GEP accounting practices in China, which prevent GEP from being accurately measured in the short term. We proposed that GEP accounting should be a constantly evolving process with both long-term and short-term improvement goals. More in detail, the accuracy issues in GEP accounting require longer periods of time to resolve; while its repeatability, comparability, and applicability should be improved in the short term, so that it can be incorporated into decision-making. In response to these challenges, we suggested the adaptation of GEP accounting index screening principles as a possible future direction, which can help to apply GEP results in the current stages of decision making. By improving GEP concept and accounting, it will be possible to establish a unified comparable GEP accounting system and reduce the gap between the GEP and decision-making.
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Affiliation(s)
- Chaozhi Hao
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China; Center for Yellow River Ecosystem Products, Shandong University, Qingdao, 266237, China
| | - Shuyao Wu
- Center for Yellow River Ecosystem Products, Shandong University, Qingdao, 266237, China; Qingdao Institute of Humanities and Social Sciences, Shandong University, Qingdao, 266237, China.
| | - Wentao Zhang
- Center for Yellow River Ecosystem Products, Shandong University, Qingdao, 266237, China; Qingdao Institute of Humanities and Social Sciences, Shandong University, Qingdao, 266237, China
| | - Yuqing Chen
- Fenner School of Environment and Society, Australian National University, Canberra, ACT, 2601, Australia
| | - Yaofa Ren
- Center for Yellow River Ecosystem Products, Shandong University, Qingdao, 266237, China; School of Life Science, Shandong University, Qingdao, 266237, China
| | - Xin Chen
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China; Center for Yellow River Ecosystem Products, Shandong University, Qingdao, 266237, China
| | - Hao Wang
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China; Center for Yellow River Ecosystem Products, Shandong University, Qingdao, 266237, China
| | - Linbo Zhang
- Center for Yellow River Ecosystem Products, Shandong University, Qingdao, 266237, China; Qingdao Institute of Humanities and Social Sciences, Shandong University, Qingdao, 266237, China.
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116
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Li X, Xiao P, Zhou Y, Xu J, Wu Q. The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15040. [PMID: 36429759 PMCID: PMC9690344 DOI: 10.3390/ijerph192215040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 11/07/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
The material foundation of sustainable agricultural development is cultivated land resources, and their sustainable use is critical to fostering agricultural sustainability and guaranteeing national food security. In this paper, the multifunctional evaluation framework of the cultivated land system based on the "GESEL" model at the grid scale (5 km × 5 km) is constructed to explore the spatiotemporal evolution characteristics of a multifunctional cultivated land system in two lake plains and the trade-off and synergy between the functions. The five functions are all unstable in time scales, and their spatial distribution characteristics are also different. The trade-off and synergy between the multiple functions of the cultivated land system in the two lake plains from 2000 to 2019 showed significant spatial heterogeneity. Most of the functions were mainly collaborative, and a few were trade-offs. The two lake plains can be divided into four multi-functional cultivated land zones: a grain production leading zone, a distinctive agricultural planting zone, a high-efficiency agricultural development zone, and an ecological agricultural construction zone. This research puts forward some countermeasures and suggestions to promote the sustainable utilization of cultivated land resources.
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Affiliation(s)
- Xigui Li
- College of Landscape Architecture and Art Design, Hunan Agricultural University, Changsha 410128, China
| | - Pengnan Xiao
- The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
| | - Yong Zhou
- The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
| | - Jie Xu
- Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
| | - Qing Wu
- Tourism and Historical Culture College, Zhaoqing University, Zhaoqing 526061, China
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117
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Xiaojing W, Honglin H, Li Z, Lili F, Xiaoli R, Weihua L, Changxin Z, Naifeng L. Spatial sampling design optimization of monitoring network for terrestrial ecosystem in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 847:157397. [PMID: 35850349 DOI: 10.1016/j.scitotenv.2022.157397] [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: 01/13/2022] [Revised: 06/23/2022] [Accepted: 07/11/2022] [Indexed: 06/15/2023]
Abstract
The rapid socioeconomic development leads to the deterioration of ecological environment. Ecosystem assessment has been conducted worldwide, e.g. the Millennium Ecosystem Assessment to assess consequences of ecosystem change for human well-being. To enhance ecosystem assessment in China, this study proposes the design of a monitoring network for the terrestrial ecosystem consisting of core stations and localized points. With focus on ecosystem services of NPP, water conservation, soil retention and sandstorm prevention, core stations of the monitoring network for observing all four services are first selected by assessing and improving spatial representativeness in ecoregions of forest, grassland and desert ecosystems. Then a spatial sampling method is applied to choose localized points for observing each specific service. Eventually expert's knowledge is used to make final decisions of added stations and points by utilizing existing networks and considering factors such as topography, spatial coverage. Combining both aforementioned approaches and experts knowledge, 60 core stations and 176 localized points are finally determined for the monitoring network. For the forest ecosystem, 39 core stations are decided with 31 selected from existing networks and eight newly added core stations improve spatial representativeness by 51.58 %, 68.11 % and 75.55 % in Temperate grasslands, Temperate desert and Alpine vegetation in Tibet Plateau respectively. For the grassland and desert ecosystem, 21 core stations are chosen with 18 from existing networks and three newly added core stations improve the representativeness by 21.60 % and 44.88 % in Tibet alpine grassland and Grassland in southern mountain areas respectively. Priorities in the implementation phase should be given to instruments installation for monitoring all four services in core stations from existing networks and setting up new stations in regions where representativeness are significantly improved.
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Affiliation(s)
- Wu Xiaojing
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - He Honglin
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Zhang Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Feng Lili
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Ren Xiaoli
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Liu Weihua
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Zou Changxin
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Lin Naifeng
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
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118
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Cao Y, Wang F, Tseng TH, Carver S, Chen X, Zhao J, Yu L, Li F, Zhao Z, Yang R. Identifying ecosystem service value and potential loss of wilderness areas in China to support post-2020 global biodiversity conservation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 846:157348. [PMID: 35842159 DOI: 10.1016/j.scitotenv.2022.157348] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/30/2022] [Accepted: 07/10/2022] [Indexed: 06/15/2023]
Abstract
Preserving wilderness areas is one of the key goals in the Post-2020 Global Biodiversity Framework(GBF). However, far too little attention has been paid to identifying wilderness conservation priorities on the national scale. In this study, we developed a methodological framework to evaluate the ecosystem service values, potential loss and conservation priorities of wilderness areas in China, providing guidance for wilderness conservation. First, we assessed the conservation value of wilderness areas and found that wilderness areas provided more ecosystem services than non-wilderness areas per unit area in most ecoregions. Then we identified threatened wilderness areas under multiple scenarios due to land use and land cover change. We found that 5.82 % of the existing wilderness areas were projected to be lost by 2100. Finally, wilderness conservation priorities were identified considering both conservation values and potential loss, and 11.24 % of existing wilderness areas were highlighted as conservation priorities. This methodological framework could be applied to other countries to support post-2020 global biodiversity conservation.
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Affiliation(s)
- Yue Cao
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China.
| | - Fangyi Wang
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China.
| | - Tz-Hsuan Tseng
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China.
| | - Steve Carver
- Wildland Research Institute, School of Geography, University of Leeds, LS2 9JT, UK.
| | - Xin Chen
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China.
| | - Jianqiao Zhao
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China.
| | - Le Yu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China.
| | - Feng Li
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China.
| | - Zhicong Zhao
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China.
| | - Rui Yang
- Institute for National Parks, Tsinghua University, Beijing 100084, China; Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China.
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119
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Zhang H, Jiang C, Wang Y, Zhao Y, Gong Q, Wang J, Yang Z. Linking land degradation and restoration to ecosystem services balance by identifying landscape drivers: insights from the globally largest loess deposit area. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:83347-83364. [PMID: 35763137 DOI: 10.1007/s11356-022-21707-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/23/2022] [Indexed: 06/15/2023]
Abstract
Land degradation is one of the most serious environmental challenges that profoundly affects ecosystem services (ESs), which further threaten ecosystem sustainability. However, few studies have been committed to sufficiently explore the relationship between land degradation neutrality (LDN) and the ES balance of supply and demand sides, as well as their spatial disparities and determinants. To fill the knowledge gaps, this study quantifies land dynamics and ES balance through biophysical models and an expert knowledge matrix, respectively, and explores the spatial determinants through an integrated regression method. From 1990 to 2018, the ecosystem restoration projects in the Loess Plateau substantially reduced soil loss and maintained ES surplus patterns for the entire regional scale, except for individual urban agglomerations, which suffered from ES deficits. Spatial panel models and geographically and temporally weighted regression revealed that the ES balance and soil loss were concurrently determined by socioeconomic indicators, landscape composition, and structure. In addition, the spatial determinants presented remarkable regional heterogeneities and spillover effects depending on individual environmental and socioeconomic conditions, which should be taken into account in landscape monitoring, simulation, forecasting, and planning. Therefore, ecosystem restoration and landscape management should not solely depend on individual indicators in local units, but also rely on integrated frameworks and coordinated collaborations from cross-border areas that appropriately link LDN and ES balance maintenance targets by considering common critical determinants and their external effects. This study enriches the understanding of ecosystem evolution and sustaining ES balance. The findings are expected to further support policy formulations and implementations to address land degradation challenges and enhance ecosystem sustainability.
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Affiliation(s)
- Haiyan Zhang
- Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chong Jiang
- Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, 510070, China.
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
- Dongying Base of Integration Between Industry and Education for High-Quality Development of Modern Agriculture, Ludong University, Dongying, 257509, China.
| | - Yixin Wang
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China
- Research Institute of Management Science, Hohai University, Nanjing, 211100, China
| | - Ying Zhao
- Dongying Base of Integration Between Industry and Education for High-Quality Development of Modern Agriculture, Ludong University, Dongying, 257509, China
| | - Qinghua Gong
- Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, 510070, China.
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
| | - Jun Wang
- Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, 510070, China
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China
| | - Zhiyuan Yang
- Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC, 3010, Australia
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120
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He J, Zhou W. Conservation versus development: uncovering divergent viewpoints of conservationists on National Parks system by Q methodology in China. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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121
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Sun H, Tian Y, Li L, Meng Y, Huang X, Zhan W, Zhou X, Cai G. Anthropogenic pollution discharges, hotspot pollutants and targeted strategies for urban and rural areas in the context of population migration: Numerical modeling of the Minjiang River basin. ENVIRONMENT INTERNATIONAL 2022; 169:107508. [PMID: 36108502 DOI: 10.1016/j.envint.2022.107508] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 09/04/2022] [Accepted: 09/05/2022] [Indexed: 06/15/2023]
Abstract
Unprecedented urbanization-induced population migration in China severely affects the scale and geographic distribution of anthropogenic pollutant discharge. Understanding how pollutant discharge patterns respond to population migration can help guide future efforts to maintain water sustainability. Here, based on a new calculation framework with 18 dynamic parameters designed for anthropogenic discharges, we finely tracked and visualized the effects of population migration on the spatial and temporal changes in anthropogenic discharge from 1980 to 2019 in the Minjiang River basin. The results indicate that the increasing effect of population migration on anthropogenic discharges peaked in 2002 and started to contribute to pollutant reduction from 2010 onward. The direct impact of population migration only contributes to the shift of anthropogenic discharges from rural to urban areas, while the migration bonus is the key factor leading to the reduction in anthropogenic discharges. Population migration is highly beneficial for chemical oxygen demand (COD) reduction, which has contributed to a shift from COD to NH4+-N and total phosphorus (TP) as hotspot pollutants in the whole basin (NH4+-N in urban areas and TP in rural areas). Moreover, pollution reduction resulting from the demographic bonus phenomenon has remained limited only to urban areas. Since approximately 2010, the per capita amount and total amount of anthropogenic pollutant discharges in rural areas have exceeded those in urban areas; in particular, the per capita COD and TP discharges in rural areas reached four times those in urban areas. This suggests that future pollution control strategies should give more attention to rural areas and focus on the differentiation and targeting of urban and rural areas.
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Affiliation(s)
- Huihang Sun
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Yu Tian
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China.
| | - Lipin Li
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Yiming Meng
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Xiaohong Huang
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Wei Zhan
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Xue Zhou
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Guiyuan Cai
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
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122
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Li D, Cao W, Dou Y, Wu S, Liu J, Li S. Non-linear effects of natural and anthropogenic drivers on ecosystem services: Integrating thresholds into conservation planning. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 321:116047. [PMID: 36104875 DOI: 10.1016/j.jenvman.2022.116047] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 08/07/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
Ecosystem services (ESs) have been widely used for ecological protection and land spatial planning. Natural and anthropogenic drivers exhibit a strong dynamic coupling relationship with ESs. However, current ESs-related research focused on mapping the ESs spatially or investing the trade-offs and synergies relationship between ES, ignoring the nonlinear response of ESs to natural and anthropogenic drivers. Here we aimed to investigate the nonlinear effect of 14 potential drivers (8 natural and 6 anthropogenic) on the total value of six typical ESs (ESV). Taking Beijing-Tianjin-Hebei urban agglomeration (BTH) in China as an example, we established 14 constrain lines and identified critical thresholds through the restricted cubic splines (RCS) regression. We found strong non-linear impacts of natural and anthropogenic drivers on ESV and critical thresholds existed among all the 14 constrain lines. The RCS plots showed that the overall ESV was kept at a high level before or after certain thresholds (e.g., altitude >687 m, slope >13.4°, NDVI >0.7, distance from water <31.2 km, etc.). We categorized these threshold combinations and found the potentially high ES delivery areas were mainly distributed in the Yanshan Mountian, accounting for approximately 5% of the total BTH region. These critical thresholds offer a new method to delineate conservation and restoration priority areas.
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Affiliation(s)
- Delong Li
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Wenfang Cao
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yuehan Dou
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Shuyao Wu
- Qingdao Institute of Humanities and Social Sciences, Shandong University, Qingdao, Shandong, 266237, China; Center for Yellow River Ecosystem Products, Shandong University, Qingdao, Shandong, 266237, China
| | - Junguo Liu
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Shuangcheng Li
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
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123
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Impacts of China’s Western Development and Protection Strategy: An Ecosystem Services Perspective of Western China. DIVERSITY 2022. [DOI: 10.3390/d14100863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Policies directly affect land-use change, which in turn, affects ecosystem services. In parallel with the implementation of a full-scale development program for the western region, the Chinese government has introduced a series of ecological protection and restoration strategies for development and construction. This study conducted a quantitative spatial evaluation of the ecosystem service value (ESV) of national nature reserves in the western region under this dual policy of development and protection. On the basis of land-use data and related evaluation parameters, fluctuations in the valuation of ecosystem services during 2000–2010 were analyzed in response to land-use changes under the comprehensive policy. Results showed that the increases in the areas of forestland and water bodies led to an increase of CNY 74.1 billion in the ESV from 2000 to 2010, equivalent to 2.02%. Grassland with increased production capacity and water bodies were the main factors driving the total ESV dynamics. Values of all ES increased significantly. Therefore, the ecological conservation and restoration policy, along with the development policy, had a positive influence on ecosystem services in the nature reserves in western China.
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124
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Rule A, Dill SE, Sun G, Chen A, Khawaja S, Li I, Zhang V, Rozelle S. Challenges and Opportunities in Aligning Conservation with Development in China's National Parks: A Narrative Literature Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12778. [PMID: 36232085 PMCID: PMC9566203 DOI: 10.3390/ijerph191912778] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 09/26/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
As part of its effort to balance economic development with environmental objectives, China has established a new national park system, with the first five locations formally established in 2021. However, as the new parks all host or are proximate to human populations, aligning the socioeconomic needs and aspirations of local communities with conservation aims is critical for the long-term success of the parks. In this narrative review, the authors identify the ecological priorities and socioeconomic stakeholders of each of the five national parks; explore the tensions and synergies between these priorities and stakeholders; and synthesize the policy recommendations most frequently cited in the literature. A total of 119 studies were reviewed. Aligning traditional livelihoods with conservation, limiting road construction, promoting education and environmental awareness, and supporting the development of a sustainable tourism industry are identified as important steps to balance conservation with economic development in the new national parks.
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125
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Wu L, Wang S, Bai X, Luo G, Wang J, Chen F, Li C, Ran C, Zhang S. Accelerating the Improvement of Human Well-Being in China through Economic Growth and Policy Adjustment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12566. [PMID: 36231869 PMCID: PMC9566461 DOI: 10.3390/ijerph191912566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/24/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
Human well-being in many countries lags behind the gross domestic product (GDP) due to the rapid changes in the socio-economic environment that have occurred for decades. However, the mechanisms behind this complex phenomenon are still unclear. This study revealed the changes in human well-being in China from 1995 to 2017 by revising the genuine progress indicator (GPI) at the national level and further quantified the contribution of interfering factors that have driven the increase in the GPI. The results indicated that: (1) The per capita GPI of China showed an increasing trend with an annual growth rate of 12.43%. The changes in the GPI followed the same pattern as economic development, rather than presenting the phenomenon of economic growth combined with a decline in welfare that has been recorded in some countries and regions. (2) The increase in human well-being was mainly driven by economic growth, but it was most sensitive to social factors. (3) Increasing income inequality and the cost of lost leisure time contributed obvious negative impacts (24.69% and 23.35%, respectively) to the per capita GPI. However, the increase in personal consumption expenditures, the value of domestic labor, ecosystem service value, and net capital growth accelerated the rise in the GPI, with positive contribution rates of 30.69%, 23%, 20.54%, and 20.02%, respectively. (4) The continuous increase in economic investment and the strengthening of social management due to policy adjustments completely counteracted the negative impacts on human well-being, thus leading to a great increase in the per capita GPI. Such insights could provide theoretical support for decision making and policy implementation to improve global human well-being.
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Affiliation(s)
- Luhua Wu
- School of Economics and Management, Tongren University, Tongren 554300, China
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding 562100, China
| | - Shijie Wang
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding 562100, China
| | - Xiaoyong Bai
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding 562100, China
| | - Guangjie Luo
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, Guizhou Education University, Guiyang 550018, China
| | - Jinfeng Wang
- School of Economics and Management, Liupanshui Normal University, Liupanshui 553004, China
| | - Fei Chen
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding 562100, China
| | - Chaojun Li
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding 562100, China
| | - Chen Ran
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding 562100, China
| | - Sirui Zhang
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding 562100, China
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126
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Xie L, Wang H, Xie P, Liu S. How to design an ecological restoration project in fragile inland basins: a cast study in arid regions of China. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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127
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Guo X, Yu B, Yan M, Guo H, Ren J, Zhang H, Zhang Z. Endogenous Development Models and Paths Selection of Rural Revitalization from the Perspective of Ecological Environment Advantages: A Case Study of Nanshi Village, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11979. [PMID: 36231281 PMCID: PMC9565515 DOI: 10.3390/ijerph191911979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 09/19/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
This article aims to discuss how to give full play to the comparative advantages of the rural ecological environment and realize the endogenous development of rural society and economy in China. First, based on the ecological economy theory of "lucid waters and lush mountains are golden and silver mountains" (the "two mountains" theory), we integrated the theories and methods of ecology, economics, and geography disciplines to examine the transformation of "ecological advantages" into "economic development" from a comprehensive perspective. Second, based on the matching relationship between the division of major function zones and the classification of ecological services, we creatively constructed a theoretical framework for the endogenous development of rural areas. Third, accounting indicators and methods for rural ecological products' biophysical quantity and monetary value are established. Finally, we conducted an empirical study of Nanshi Village in central China as a case. The results showed that: The benefits provided by ecosystems to the development of human society would be underestimated if it is measured only by the provisioning services; the per capita Gross Ecosystem Product (GEP) of the case area was three times the per capita disposable income of rural permanent residents in the same period. Taking advantage of the rural ecological environment to promote the actual transformation of the potential value of ecological products is the feasible path for rural revitalization. One of the implications of this study is that it links the rural ecological and environmental advantages with social and economic development from the perspective of ecological economics and provides decision-making support for this case and other similar rural ecological industry revitalization practices.
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Affiliation(s)
- Xinwei Guo
- Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
- College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
| | - Bin Yu
- Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
- College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
| | - Meiyan Yan
- Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
- College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
- College of Teacher Education, Dali University, Dali 671003, China
| | - Hui Guo
- Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
- College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
| | - Junhu Ren
- Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
- College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
| | - Hanxia Zhang
- Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
- College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
| | - Zonggang Zhang
- Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
- College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
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128
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Li L, Li Y, Yang L, Liang Y, Zhao W, Chen G. How Does Topography Affect the Value of Ecosystem Services? An Empirical Study from the Qihe Watershed. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11958. [PMID: 36231260 PMCID: PMC9565604 DOI: 10.3390/ijerph191911958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
Topographic position indices (TPIs) measure essential impacts on ecosystem service supply capacity. The identification of changes in ecosystem services and value metrics under varying TPIs has become a topical subject of global change research. Multidimensional changes in spatiotemporal and geographical aspects of ecosystem service values (ESVs) are assessed in this article using land cover/use data from 2000-2015. Effects of land-use/cover changes and topographic indices on ESVs are explored using the Chinese terrestrial unit area ecosystem service value equivalence table combined with topographic factors. A sensitivity index is introduced to quantify the robustness of total ESV to land-use/cover and topographic indices. The results show that: (1) The total ESV in the Qihe watershed declined with a change in land-use/cover during the period 2000-2015. The maximum ESV was CNY 1.984 billion in 2005 and the minimum was CNY 1.940 billion in 2010; (2) The response of ESV to land/use cover varied greatly across TPIs, with the most significant change in ESV occurring in the 0.6-0.8 TPI range and the greatest change in a single ecosystem service occurred in water areas; (3) The sensitivity indices of ESVs are all less than 1. The sensitivity indices of unused land and water tended to zero. Woodland sensitivity indices were the highest at 0.53, followed by those of arable land and grassland, owing to the large proportion of arable land and grassland areas in the overall area of land-use categories.
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Affiliation(s)
- Li Li
- School of Government, Beijing Normal University, Beijing 100875, China
| | - Yonghui Li
- Henan Provincial General Institute of Urban and Rural Planning and Design, Zhengzhou 450044, China
| | - Lan Yang
- School of Government, Beijing Normal University, Beijing 100875, China
| | - Ying Liang
- School of Government, Beijing Normal University, Beijing 100875, China
| | - Wenliang Zhao
- School of Surveying and Planning, Shangqiu Normal University, Shangqiu 476000, China
| | - Guanyu Chen
- School of Surveying and Planning, Shangqiu Normal University, Shangqiu 476000, China
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129
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Jiang S, Cheng X, Yu S, Zhang H, Xu Z, Peng J. Elevation dependency of ecosystem services supply efficiency in great lake watershed. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 318:115476. [PMID: 35714471 DOI: 10.1016/j.jenvman.2022.115476] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/26/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
Although it is well acknowledged that the improvement of ecosystem services is conducive to human well-being, there is still a lack of approach to determining reasonable improvement goals, especially for ecosystem services with trade-off relationship. Based on the method of production possibility frontier (PPF), this study presented a novel approach to identifying the improvement goals of interacting ecosystem services with considering their context dependency. By calculating the gap between the current supply of ecosystem services and the reasonable improvement goal, the ecosystem services supply efficiency was defined and measured to identify the optimization potentials of ecosystem services with trade-off relationship. The results showed that the supply efficiency of ecosystem services (grain production and water purification) decreased and then increased significantly along with the increasing of farmland area ratio in the Dongting Lake Basin (DLB). Meanwhile, the inflection point appeared when the farmland area ratio was 0.16. The change of farmland area ratio was significantly influenced by the change of elevation, with the regression coefficients of elevation on the left and right sides of the inflection point being -1.28 and -0.5 respectively, which were higher than that of other factors. Along with the increasing of elevation, the ecosystem services supply efficiency decreased but increased when the elevation exceeded 721.74 m. Furthermore, the sub-watersheds with farmland area ratio below the inflection point, i.e. mainly high elevation areas, were located around national or provincial level poor counties, posing a great challenge for improving ecosystem services with trade-off relationship. Development strategies for sub-watersheds should consider the non-linear trade-offs of ecosystem services, especially the opposite stages of supply efficiency. This study highlighted the elevation dependency of ecosystem services supply efficiency through farmland area ratio in great lake watershed.
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Affiliation(s)
- Song Jiang
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Xueyan Cheng
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Shuying Yu
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Hanbing Zhang
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Zihan Xu
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Jian Peng
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
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130
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He S, Su Y, Cheng H. Coordinating community resource use and conservation: An institutional diagnostic practice in the Wuyishan National Park. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 317:115508. [PMID: 35751292 DOI: 10.1016/j.jenvman.2022.115508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 02/17/2022] [Accepted: 06/08/2022] [Indexed: 06/15/2023]
Abstract
Maintaining community resource use and securing ecosystem services for the public is a major issue in protected area management. This research developed an institutional diagnostic tool for community resource use based on the theories of "Common-Pool Resources", "Environment Entitlement" and "Socio-ecological System". This tool is maturing and tested in the Wuyishan National Park through a knowledge co-production process of communities' narratives and researchers' observations. It was used to identify key institutional factors that affect communities' ecosystem management, facilitate a negotiation procedure that can motivate communities' acceptance of new rules and participation in conservation, and provide policy entry points for sustaining both the ecosystem and rural livelihoods. Results show that key factors affecting resource accessibility mainly include land policy at the macro scale, protected area planning and management at the meso-scale, and the internalising of modern regulations and technologies with historical inheritance at the micro-scale. Key institutions affecting access to ecosystem services and well-being include mainly the formal institutions such as the market and credit system at the meso-scale, and informal institutions expressed by collective actions at the micro-scale. Results also indicate that local people mainly cared about the procedural legitimacy and their environmental autonomy for negotiation in the multi-stakeholder context. They required a reasonable and clear definition of resource use regulation, and low risks to join in a negotiation. By integrating the key institutions and negotiation demands, we provided the policy entry point to facilitate the institutional change in Wuyishan National Park. This diagnostic tool is proved applicable in the way of knowledge co-production, and it is promising to help formulate context-specific conservation policies to facilitate the community to participate in the construction and management of protected areas for win-win outcomes of the natural ecosystem and community welfare.
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Affiliation(s)
- Siyuan He
- Institute of Geographic Sciences and Natural Resources Research, A11 Datun Road, Chaoyang District, 100101, Beijing, China.
| | - Yang Su
- Development Research Center of the State Council, 225 Chaoyangmennei Avenue, 100010, Beijing, China
| | - Hongguang Cheng
- School of Environmental Sciences, Beijing Normal University, 100875, Beijing, China
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131
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Yang Q, Liu G, Xu L, Ulgiati S, Casazza M, Hao Y, Lu Z, Deng X, Yang Z. Hidden challenges behind ecosystem services improvement claims. iScience 2022; 25:104928. [PMID: 36065178 PMCID: PMC9440298 DOI: 10.1016/j.isci.2022.104928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/09/2022] [Accepted: 08/09/2022] [Indexed: 11/28/2022] Open
Abstract
Substantial evidence indicates that China’s afforestation statistically contributed to the ecosystem services (ES) improvement. However, we found the potential challenges behind this improvement, especially in water-limited areas. We propose an attribution analysis method, which can assess the specific contribution of natural, human and cognition degree drivers to ES dynamics. The results found that the ratio of natural and human drivers in the area north of China’s 400 mm precipitation isopleth is 2:7. This means local vegetation capacity has already exceeded water limitation, implying a conflict between nature and humans. However, the natural contribution in the area between 400 and 800 mm precipitation isopleth is negative, whereas the human contribution is 91%. This means this area has fragile natural conditions and needs more flexible policies. The ratio of natural and human drivers in the region south of 800 mm precipitation isopleth is 6:3, suggesting the ecological policies here can be maintained. PDE is used to assess the contribution of natural and human drivers to ES changes Land use management dominantly contributed (55%) to China’s ES improvement Re-vegetation in the area north of 400 mm precipitation isohyet exceeded NPP threshold The area between 400 and 800 mm isoprecipitation line is the key area with ES decrease
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Affiliation(s)
- Qing Yang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China
- Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, Zhuhai 519087, China
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
| | - Gengyuan Liu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Corresponding author
| | - Linyu Xu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Sergio Ulgiati
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Department of Science and Technology, University of Naples ‘Parthenope’, Centro Direzionale, Isola C4, 80143 Naples, Italy
| | - Marco Casazza
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Salerno, Italy
| | - Yan Hao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Zhongming Lu
- Division of Environment and Sustainability, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Xiaoya Deng
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Zhifeng Yang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Corresponding author
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132
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Yang Z, Zhan J, Wang C, Twumasi-Ankrah MJ. Coupling coordination analysis and spatiotemporal heterogeneity between sustainable development and ecosystem services in Shanxi Province, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 836:155625. [PMID: 35508233 DOI: 10.1016/j.scitotenv.2022.155625] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/12/2022] [Accepted: 04/27/2022] [Indexed: 05/16/2023]
Abstract
Excessive human activities destroy the structure and function of ecosystem and threaten sustainable development. As a typical resource-based area, Shanxi Province is facing an increasingly serious contradiction between ecosystem and sustainable development, with the overexploitation of resources. In view of this, the coupling coordination degree model was used to measure the association between sustainable development and ecosystem services (SDESs), and geographically and temporally weighted regression model was used to explore the correlation between SDESs and measure the correlation between ecosystem services (ESs) and sustainable development at the county level from 2000 to 2015 in Shanxi Province. The results showed an increase in the sustainable development level and all ESs except soil retention. The coupling coordination degree (CCD) of soil retention and sustainable development decreased, while other services increased. Habitat quality had the strongest negative correlation with sustainable development. There were obvious spatiotemporal heterogeneities in the CCD and correlation of SDESs, which is helpful for promoting regional sustainable development and optimize ecosystem decision-making.
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Affiliation(s)
- Zheng Yang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Jinyan Zhan
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Chao Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Michael Jordan Twumasi-Ankrah
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
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133
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Payments for Watershed Ecosystem Services in the Eyes of the Public, China. SUSTAINABILITY 2022. [DOI: 10.3390/su14159550] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Recent decades have witnessed an increased development of schemes for payment for watershed ecosystem services (PWES). However, the public is usually excluded from PWES systems. Reliable and empirical research on PWES from the public perspective is scarce. Aiming to understand public perceptions, attitudes, participation, and responses to PWES, this paper investigated local residents living in the Yongding River watershed area through a face-to-face questionnaire survey. The results showed that the public had limited knowledge of PWES. The public was keen to be involved in PWES decision-making, but the current level of public participation was very low. Regarding willingness to pay (WTP) and willingness to accept (WTA), nearly 55% of the respondents supported paying the upstream residents for protecting the environment if they were beneficiaries in the downstream areas, while 85% of the respondents agreed to accept compensation if they were contributors to environmental improvement in the upstream areas. Although some of the respondents’ daily lives were affected by the watershed environment, they were reluctant to pay, reflecting a sign of “free-riding”. The regression analysis showed that public concerns, values, knowledge of PWES and the watershed environment, and demographic factors determined the WTP and WTA. The results of the contingent valuation method and opportunity costs method showed that the annual payment for headwater conservation areas (Huailai and Yanqing) ranged from CNY 245 to 718 million (USD 36 to 106 million). This study contributes to our limited knowledge and understanding of public sentiment and makes recommendations for improving public receptivity to PWES.
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134
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Zhang J, Song Y, Wang J. Spatiotemporal patterns of gross ecosystem product across China's cropland ecosystems over the past two decades. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.959329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
As the largest artificial ecosystem on Earth, croplands not only secure the basic living materials for people but also provide ecological service values for human society. For croplands, ecosystem services have proven to be of great value and are closely linked to human activities and climate change. However, spatiotemporal patterns of cropland ecosystem services and their drivers still need to be further assessed quantitatively. In this study, we provided a comprehensive evaluation of ecosystem services across China's cropland ecosystems over the past two decades using gross ecosystem product (GEP) as a single metric of the monetary evaluation of final ecosystem services. The values of material services, regulating services, and cultural services were calculated to summarize the GEP value of cropland ecosystems in China. Our results showed that the multiyear mean value of GEP was 4.35 × 107 million CNY. The value of regulating services reached 3.86 × 107 million CNY, followed by material services of 4.76 × 106 million CNY and cultural services of 1.16 × 105 million CNY. GEP value was different among provinces, leading to a heterogeneous spatial pattern associated with population and cultivated area. Moreover, we analyzed the trends in the GEP value at the provincial and national scales. The results showed that the GEP value of China's cropland ecosystems has increased over the period. The values of the material, regulating, and cultural services have increased at a rate of (0.35 ± 0.01) × 106 million CNY a−1, (1.12 ± 0.10) × 106 million CNY a−1, and (0.002 ± 0.0002) × 106 million CNY a−1, respectively (P < 0.05). The majority of provinces had an increasing trend in GEP, yet some developed provinces, e.g., Beijing and Shanghai, showed a decreasing trend. Furthermore, we evaluated the impacts of social-economic and natural factors on changes in GEP. We found that rising prices for agricultural products and services boosted an increase in GEP. Meanwhile, the spatiotemporal patterns of GEP were also associated with the adjustments of planting area in each province. Overall, our findings highlight the importance of assessing spatiotemporal patterns of cropland ecosystem services for decision-makers.
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135
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Wang H, Wang WJ, Liu Z, Wang L, Zhang W, Zou Y, Jiang M. Combined effects of multi-land use decisions and climate change on water-related ecosystem services in Northeast China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 315:115131. [PMID: 35512599 DOI: 10.1016/j.jenvman.2022.115131] [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: 11/15/2021] [Revised: 04/08/2022] [Accepted: 04/19/2022] [Indexed: 06/14/2023]
Abstract
Land use intensification and climate change have resulted in substantial changes in the provision of ecosystem services, particularly in China that experienced sharp increases in population growth and demands for goods and energy. To protect the environment and restore the degraded ecosystems, the Chinese government has implemented multiple national ecological restoration projects. Yet, the combined effects of climate change and land use and land cover change (LULCC) over large spatial scales that brace multiple land use decisions and great environmental heterogeneity remain unclear. We assessed the combined effects of LULCC and climate change on water-related ecosystem services (water provision and soil conservation services) from 1990s to 2020s in Northeast China using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model. We found that water yield decreased by 9.78% and soil retention increased by 30.51% over the past 30 years. LULCC and climate change exerted negative effects on water yield whereas they both enhanced soil retention; LULCC interacted with climate change to have relatively small inhibitory effects on water yield and large facilitation effects on soil retention. Changes in water yield were mainly attributed to climate change, while soil retention was largely influenced by LULCC and its interaction with climate change. Our research highlights the importance of land use decisions and its interactive effects with climate change on ecosystem services in a heavily disturbed temperate region, and provides important information to inform future land management and policy making for sustaining diverse ecosystem services and ensuring human wellbeing.
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Affiliation(s)
- Hebin Wang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wen J Wang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
| | - Zhihua Liu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
| | - Lei Wang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
| | - Wenguang Zhang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
| | - Yuanchun Zou
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
| | - Ming Jiang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
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136
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Chen H, Costanza R, Kubiszewski I. Land use trade-offs in China's protected areas from the perspective of accounting values of ecosystem services. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 315:115178. [PMID: 35504187 DOI: 10.1016/j.jenvman.2022.115178] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 04/10/2022] [Accepted: 04/24/2022] [Indexed: 06/14/2023]
Abstract
"Accounting values" (quantity * unit value), assessed with an assumption of a constant unit value, are often used in creating macroeconomic aggregates like Gross Domestic Product (GDP). This approach has also been used to estimate the total value of ecosystem services (ES) - the benefits humans receive from functioning ecosystems. In China, this has been referred to as Gross Ecosystem Product (GEP). While the concepts of value and ES may be understood from multiple perspectives, ESs' accounting values contribute important information to the discussion of land use trade-offs in China's protected areas (PAs). These trade-offs include (1) whether additional conserved lands should be opened to tourism development, since tourism brings both positive and negative impacts; (2) whether PAs should be reduced, maintained, or expanded, since PAs safeguard sustainable wellbeing but also require maintenance; and (3) how to undertake conservation on lands traditionally used for human livelihood development, since conservation and livelihood may conflict. Previous studies have suggested (1) joint evaluation based on both GDP and ESs' values may lead to more sustainable decision-making than solely GDP-oriented evaluation; (2) the benefits of maintaining terrestrial PAs in China is $2.64 trillion/yr, over 14 times greater than the costs; (3) integrating ES valuation into environmental impact assessment helps link environmental impacts with human wellbeing and financial costs (e.g., land encroachment of a tourism highway in the Wulingyaun Scenic Area was estimated to cause permanent loss of ES values at $0.5 million/yr); and (4) integrating non-marketable cultural ESs into payment for ESs schemes can further balance conservation with livelihood development. Future research should consider (1) option and non-use values to present a more comprehensive picture of PAs' contributions to sustainable wellbeing and human interdependence with the rest of nature (2) both PAs' quantity (e.g., optimal coverage of PAs); and quality (e.g., management effectiveness, connectivity); (3) more sophisticated and feasible valuation methods (e.g., more cost-effective and engaged deliberation) to improve the credibility of aggregate values over large spatial scales; and (4) interaction between environmental components and ESs.
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Affiliation(s)
- Haojie Chen
- Crawford School of Public Policy, Australian National University, Canberra, ACT, 2601, Australia.
| | - Robert Costanza
- Institute for Global Prosperity, University College London, London, WC1E 6BT, UK.
| | - Ida Kubiszewski
- Institute for Global Prosperity, University College London, London, WC1E 6BT, UK.
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137
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Abstract
The economic and social development evaluation system with the Gross Domestic Product (GDP) as the leading indicator is no longer applicable to the current social progress in China. It is essential to carry out an assessment of the Gross Ecosystem Product (GEP) to integrate ecological benefits into the economic and social evaluation system and promote sustainable socio-economic development. This study took Guangxi, an important province in South China, as the study area. We used four periods of land use and land cover data (LULC), meteorological data, soil data and yearbook statistics to construct a GEP assessment framework based on geographic information system (GIS) and remote sensing (RS) technologies. We accounted for the provisioning services, regulating services, and tourism services provided by Guangxi in 2005, 2010, 2015, and 2020 and analyzed the region’s and municipalities’ spatial–temporal pattern characteristics and trends of change in GEP. In addition, this study also discusses the relationship between GEP and GDP. The results showed that many important products and services provided by natural ecosystems in Guangxi had enormous economic benefits. GEP had increased from CNY 15,657.37 billion in 2005 to CNY 36,677.04 billion in 2020, and the distribution of GEP showed obvious spatial heterogeneity. The value of ecosystem regulation services was about 65–89% of GEP, which is the main component of GEP. From 2005 to 2020, natural ecosystem protection and socio-economic development have achieved coordinated development in Guangxi. GEP and GDP showed upward trends in general. Although Guangxi is relatively backward in terms of economic development, the scientific quantification of the unrealized value of the services provided by the ecosystem through GEP accounting makes it possible to transform ecological advantages into economic advantages. It could help the local government and people to re-recognize the value of ecological resources and realize the beautiful vision of lucid waters and lush mountains as invaluable assets.
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138
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Analyzing the Spatiotemporal Vegetation Dynamics and Their Responses to Climate Change along the Ya’an–Linzhi Section of the Sichuan–Tibet Railway. REMOTE SENSING 2022. [DOI: 10.3390/rs14153584] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Vegetation dynamics and their responses to climate change are of significant spatial and temporal heterogeneity. The Sichuan–Tibet Railway (STR) is a major construction project of the 14th Five-Year Plan for Economic and Social Development of the People’s Republic of China that is of great significance to promoting the social and economic development of Sichuan–Tibet areas. The planned railway line crosses areas with a complex geological condition and fragile ecological environment, where the regional vegetation dynamics are sensitive to climate change, topographic conditions and human activities. So, analyzing the vegetation variations in the complex vertical ecosystem and exploring their responses to hydrothermal factors are critical for providing technical support for the ecological program’s implementation along the route of the planned railway line. Based on MOD13Q1 Normalized Difference Vegetation Index (NDVI) data for the growing season (May to October) during 2001–2020, a Theil-Sen trend analysis, Mann–Kendall test, Hurst exponent analysis and partial correlation analysis were used to detect the vegetation dynamics, predict the vegetation sustainability, examine the relationship between vegetation change and hydrothermal factors, regionalize the driving forces for vegetation growth and explore the interannual variation pattern of driving factors. The growing season NDVI along the Ya’an–Linzhi section of the STR showed a marked rate of increase (0.0009/year) during the past 20 years, and the vegetation’s slight improvement areas accounted for the largest proportion (47.53%). Among the three hydrothermal parameters (temperature, precipitation and radiation), the correlation between vegetation growth and the temperature was the most significant, and the vegetation response to precipitation was the most immediate. The vegetation changes were affected by the combined impact of climatic and non-climatic factors, and the proportion of hydrothermal factors’ combined driving force slightly increased during the study period. Based on the Hurst exponent, the future vegetation sustainability of the area along the Ya’an–Linzhi section of the STR faces a risk of degradation, and more effective conservations should be implemented during the railway construction period to protect the regional ecological environment.
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139
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Land Use Land/Cover Change Reduces Woody Plant Diversity and Carbon Stocks in a Lowland Coastal Forest Ecosystem, Tanzania. SUSTAINABILITY 2022. [DOI: 10.3390/su14148551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The East-African lowland coastal forest (LCF) is one of Africa’s centres of species endemism, representing an important biodiversity hotspot. However, deforestation and forest degradation due to the high demand for fuelwood has reduced forest cover and diversity, with unknown consequences for associated terrestrial carbon stocks in this LCF system. Our study assessed spatio-temporal land use and land cover changes (LULC) in 1998, 2008, 2018 in the LCF ecosystem, Tanzania. In addition, we conducted a forest inventory survey and calculated associated carbon storage for this LCF ecosystem. Using methods of land use change evaluation plug-in in QGIS based on historical land use data, we modelled carbon stock trends post-2018 in associated LULC for the future 30 years. We found that agriculture and grassland combined increased substantially by 21.5% between the year 1998 and 2018 while forest cover declined by 29%. Furthermore, forest above-ground live biomass carbon (AGC) was 2.4 times higher in forest than in the bushland, 5.8 times in the agriculture with scattered settlement and 14.8 times higher than in the grassland. The estimated average soil organic carbon (SOC) was 76.03 ± 6.26 t/ha across the entire study area. Our study helps to identify land use impacts on ecosystem services, supporting decision-makers in future land-use planning.
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140
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Lin Z, Wu T, Xiao Y, Rao E, Shi X, Ouyang Z. Protecting biodiversity to support ecosystem services: An analysis of trade‐offs and synergies in southwestern China. J Appl Ecol 2022. [DOI: 10.1111/1365-2664.14248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Ziyan Lin
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐environmental Science Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
| | - Tong Wu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐environmental Science Chinese Academy of Sciences Beijing China
| | - Yi Xiao
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐environmental Science Chinese Academy of Sciences Beijing China
| | - Enming Rao
- Faculty of Geography Resources Sciences Sichuan Normal University Chengdu China
| | - Xuewei Shi
- Satellite Application Center for Ecology and Environment Ministry of Ecology and Environment Beijing China
| | - Zhiyun Ouyang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐environmental Science Chinese Academy of Sciences Beijing China
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141
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Trends in Research on Forest Ecosystem Services in the Most Recent 20 Years: A Bibliometric Analysis. FORESTS 2022. [DOI: 10.3390/f13071087] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Forest resources and the flow of ecosystem services they provide play a key role in supporting national and regional economies, improving people’s lives, protecting biodiversity, and mitigating the impacts of climate change. Based on the ISI (Institute of Scientific Information) Web of Science (WoS) database, we used a bibliometric approach to analyze the research status, evolution process, and hotspots of forest ecosystem services (FES) from a compilation of 8797 documents published between 1997 and 2019. The results indicated that: (1) research on forest ecosystem services has developed rapidly over the past 23 years. Institutions in the United States and other developed countries have significantly contributed to undertake research on the topic of ecosystem services. (2) The 11 hotpot key focus areas of completed research were payments for ecosystem services, biodiversity conservation, forest governance, ecosystem approaches, climate change, nitrogen, ecosystem management, pollination, cities, ecological restoration, and policy. (3) The trade-off relationships among ecosystem services, ecosystem resilience and stability have become the research frontier in this field. (4) Future research on FES will likely focus on the formation and evolution mechanism of ecosystem services; the interaction, feedback and intrinsic connections of ecosystem services at different scales; analysis of the trade-offs and synergies; unified evaluation standards, evaluation systems, model construction and scenario analyses; in-depth studies of the internal correlation mechanism between forest ecosystem services and human wellbeing; and realization of cross-disciplinary and multi-method integration in sustainable forest management and decision-making.
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142
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Fan Q, Yang X, Zhang C. A Review of Ecosystem Services Research Focusing on China against the Background of Urbanization. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148271. [PMID: 35886123 PMCID: PMC9317220 DOI: 10.3390/ijerph19148271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/04/2022] [Accepted: 07/04/2022] [Indexed: 11/25/2022]
Abstract
The change in landscape patterns caused by urbanization is one of the main reasons for the degradation of global ecosystem services. Reducing the negative impact of rapid urbanization on ecosystems and promoting the coordinated development of cities and ecosystems have become a hot topic around the world. Based on Web of Science Core Collection and CNKI database papers, this study conducts a bibliometric analysis of ecosystem services research against the background of global urbanization from 2000 to 2022. At the same time, the research hot spots, regional distribution, research trends, and research contents are summarized by taking China as the key research area. The results show that: (1) the research hot spots of ecosystem services against the background of urbanization are generally the same in China and the world. Both of them are based on landscape pattern or land use; the research scale is from macro to micro; and the research method is from static to dynamic. (2) From the perspective of ecosystem service types, the four types of ecosystem service have been studied in China and other parts of the world, but there are differences in the specific types, quantity, and regional distribution. (3) Whether in China or other regions of the world, the studies on the trade-offs of ecosystem services against the background of urbanization are mainly at medium and large scales. Finally, ecosystem service bundles research, systematic thinking, and the combination of ecosystem services and territorial spatial planning against the background of urbanization are pointed out as key aspects of future research.
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143
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Wang J, Wang J, Zhang M, Zhang Y, Wang J, Zhu Q, Li S. The payment scheme for ecosystem services in the coastal city based on the ecosystem services value and current payment efficiency: a case study in Jimo of Qingdao city, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:49179-49193. [PMID: 35217949 DOI: 10.1007/s11356-022-19321-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 02/16/2022] [Indexed: 06/14/2023]
Abstract
The reasonable strategies of payment for ecosystem services (PES) play a key role in solving the contradiction between ecological protection and economic development in coastal cities. However, at present, the payment efficiency is relatively low and the determination method of PES is lack. Therefore, in this study, the Jimo district of Qingdao city in China, a typical coastal city, was selected as study area, and the equivalent factor method and marine ecological capital assessment method were used to obtain terrestrial and marine ecosystem services value (ESV) and its tempo-spatial variations from 2010 to 2018. Moreover, the payment efficiency of the sea area and 15 towns over 8 years was measured using the Super-efficient SBM-DEA model based on undesired output. ESV presented a clear reduction over 8 years. The marine ecosystem provided the main service value, and waste treatment, water regulation, and soil formation were the top 3 main functions in the land ecosystem. Regulating services provided the highest component among all functions. The high-value areas were mainly distributed in the northeast and northwest regions and the low-value areas were in the south-central regions. The average payment efficiency of the sea area and 15 towns over 8 years shown a stable trend at a low level. On the basis of the evaluation of ESV and efficiency, a new possible payment scheme including payment order and quota was proposed. The total quota of marine ecosystem was 5.226 billion RMB (88% of the total) and of terrestrial ecosystem was 0.713 billion RMB. Tian Heng, Jin Kou, Yi Fengdian, and Ling Shan are the first 4 priority towns, with compensation amounts of 0.205, 0.083, and 0.063 billion RMB respectively, while the last 3 towns are Tong Ji, Huan Xiu, and Chao Hai accounting for 6.02% of the total. The theoretical payment total quota was 5.939 billion RMB, and which accounted for a low proportion of local GDP. The study can provide some recommendations for making the reasonable and feasible payment schemes for ecosystem services in coastal city, and it is feasible in the practice of ecological environment protection and sustainable development.
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Affiliation(s)
- Jingpeng Wang
- School of Land Science and Technology, China University of Geosciences, Haidian District, 29 Xueyuan Road, 100083, Beijing, People's Republic of China
| | - Jinman Wang
- School of Land Science and Technology, China University of Geosciences, Haidian District, 29 Xueyuan Road, 100083, Beijing, People's Republic of China.
- Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, 100035, Beijing, People's Republic of China.
| | - Min Zhang
- School of Land Science and Technology, China University of Geosciences, Haidian District, 29 Xueyuan Road, 100083, Beijing, People's Republic of China
| | - Yafu Zhang
- School of Land Science and Technology, China University of Geosciences, Haidian District, 29 Xueyuan Road, 100083, Beijing, People's Republic of China
| | - Jin Wang
- School of Land Science and Technology, China University of Geosciences, Haidian District, 29 Xueyuan Road, 100083, Beijing, People's Republic of China
| | - Qiuping Zhu
- School of Land Science and Technology, China University of Geosciences, Haidian District, 29 Xueyuan Road, 100083, Beijing, People's Republic of China
| | - Sijia Li
- School of Land Science and Technology, China University of Geosciences, Haidian District, 29 Xueyuan Road, 100083, Beijing, People's Republic of China
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144
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The Grain for Green Project in Contiguous Poverty-Stricken Regions of China: A Nature-Based Solution. SUSTAINABILITY 2022. [DOI: 10.3390/su14137755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The Grain for Green Project (GGP) is one of many Nature-based Solutions (NbS), which aims to address the challenge of ecological restoration while providing livelihood security for farmers in poverty-dominated regions. Evaluating the success of such a project can prove difficult. Here, we choose the contiguous poverty-stricken regions (CPSR) of China to study the multiple benefits of the GGP in the context of NbS. We collect ecological-monitoring data, forest-resources data, and socioeconomic data and use them in a distributed method with relevant indicators, to evaluate the ecological benefits of the GGP. Additionally, the socioeconomic benefits are evaluated using questionnaire-based surveys. Our results showed that the ecological benefits of the GGP in the CPSR were 5.6 × 1011 RMB/a in 2017, with the proportion of each ecosystem’s services being 27.1% (water conservation), 21.1% (biodiversity conservation), 18.4% (purification of the atmospheric environment), 13.1% (soil conservation), 12.9% (carbon sequestration and oxygen release), 5.4% (forest protection), and 1.6% (nutrient accumulation). In terms of socioeconomic benefit, the GGP changed the production methods of farmers, which resulted in income growth, with an average increase of 5100 RMB/a per household. In the context of NbS, ecological conservation, and restoration, the accurate and systematic monitoring of the socioeconomic and ecological benefits will become more important for government decisions.
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145
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The Effects of the Ecological Conservation Redline in China: A Case Study in Anji County. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137701. [PMID: 35805356 PMCID: PMC9265926 DOI: 10.3390/ijerph19137701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 06/13/2022] [Accepted: 06/21/2022] [Indexed: 02/01/2023]
Abstract
The Ecological Conservation Redline (ECR) of China plays an important role in avoiding ecological space occupancy and maintaining regional ecological security. Anji County in Zhejiang Province is one of the first regions to implement the ECR in China. This paper takes Anji County as an example to analyze the effects of ECR. To do this, we first set up two scenarios with the CLUE-S model: a normal land-use development scenario (NLDS) and an ECR implementation scenario (ECRS); then we compare the land use of 2010 and 2015 under NLDS and ECRS. Land use, ecosystem services value (ESV), landscape metrics, and ecological product outputs were compared between the entire county and the ECR areas. The results revealed the following: (1) From 2000 to 2015, the ecological land in Anji County decreased by 4.03%, while it decreased by 1.17% in the ECR areas. (2) In the ECR areas, there was less arable land and construction land of the ECRS than in the NLDS, which indicates the ECR impeded the expansion of construction land and arable land in the ECR areas. (3) The ECR areas account for 39% of Anji County but contribute more than 80% to the ESV of the whole county. During 2000–2015, the ESV of the entire county decreased while the ESV of the ECR areas increased. (4) From 2000 to 2015, whereas landscape fragmentation of the entire county increased, that of ECR areas decreased. (5) Since the ECR’s implementation, Anji County has vigorously developed the bamboo industry, ecological agriculture, the tourism industry, and achieved rapid economic development via industrial restructuring and transformation. On the whole, the ECR has neither adversely affected land development nor economic development but instead has promoted the optimization of the land’s spatial development pattern.
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146
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Revealing the Coupling Relationship between the Gross Ecosystem Product and Economic Growth: A Case Study of Hubei Province. SUSTAINABILITY 2022. [DOI: 10.3390/su14137546] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The question of how to balance rapid economic growth with ecosystem pressures has become a key issue in recent years. Using the Tapio decoupling model, the spatial autocorrelation model, and the LMDI decomposition model, we analyzed the spatiotemporal variation in gross ecosystem product (GEP) in Hubei Province, studied the relationship between GEP and economic growth, and analyzed the driving factors of GEP variation. The results show that, during the period 2010–2019, the decoupling coefficient between GEP and economic growth in Hubei Province gradually decreased, while the decoupling relationship changed from weak decoupling to strong decoupling; this change is reflected not only in the decoupling index values of various cities but also in the number of changing cities, so this negative change should attract the attention of policy-makers. In addition, there is a significant local spatial autocorrelation in Hubei Province, mainly distributed in the northwest and southwest of the province, and the trend is becoming increasingly obvious. As the decoupling trend is negative, it is necessary to pay attention to local autocorrelation changes, especially in highly correlated cities, and take action to prevent the further exacerbation of such decoupling to maintain healthy economic and social development. Regarding the driving factors of GEP changes in Hubei Province, cities with strong decoupling and those with weak decoupling have certain differences, and different types of decoupling cities need to adopt different strategies to alleviate pressure on the ecological environment. Cities with a weak decoupling need to address the problem of pollutant emissions associated with industrial upgrading and the positive impact of scientific and technological innovation on the ecological environment. Cities with strong decoupling should not only address pollutant discharge but also improve the area of ecological land. From the perspective of urban development, the high-quality development trend of Wuhan, Yichang, Xiantao, Qianjiang, Xianning, and other cities shows a continuous trend of improvement. Ezhou, Jingzhou, Shennongjia, and other cities need to guard against the loss of ecosystems caused by economic growth.
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Dynamic Variation of Ecosystem Services Value under Land Use/Cover Change in the Black Soil Region of Northeastern China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127533. [PMID: 35742781 PMCID: PMC9223798 DOI: 10.3390/ijerph19127533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/15/2022] [Accepted: 06/17/2022] [Indexed: 02/01/2023]
Abstract
A better understanding of the dynamic variation in the ecosystem service value (ESV) under land use/cover change (LUCC) is conductive to improving ecosystem services and environmental protection. The present study took Landsat TM/ETM remote sensing images and socio-economic statistic data as data sources and extracted land-use data using RS and GIS technology at 5-year intervals from 1990 to 2020. Then, we interpreted the spatio-temporal characteristics of LUCC and analyzed ESV changes using the value equivalence method in the black soil region of northeastern China (BSRNC). The main results showed that land use changed significantly during the study period. Cultivated land continued to expand, especially paddy areas, which increased by 1.72 × 106 ha, with a relative change of 60.9% over 30 years. However, grassland decreased by 2.47 × 106 ha, with a relative change of −60.6% over 30 years. The ESV showed a declining trend, which decreased by CNY 607.96 million during 1990–2020. The decline in forest and grassland caused a significant decline in the ESV. Furthermore, the ESV sensitivity coefficients were less than one for all of the different categories of ecosystem services. LUCC has a considerable impact on ESV in the BSRNC, resulting in ecosystem function degradation. As a result, future policies must emphasize the relationship between food security and environmental protection in situations of significant land-use change.
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Fu J, Gong Y, Zheng W, Zou J, Zhang M, Zhang Z, Qin J, Liu J, Quan B. Spatial-temporal variations of terrestrial evapotranspiration across China from 2000 to 2019. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 825:153951. [PMID: 35192820 DOI: 10.1016/j.scitotenv.2022.153951] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 01/27/2022] [Accepted: 02/13/2022] [Indexed: 05/26/2023]
Abstract
Terrestrial evapotranspiration (ET) refers to a key process in the hydrological cycle by which water is transferred from the Earth's surface to lower atmosphere. With spatiotemporal variations, ET plays a crucial role in the global ecosystem and affects vegetation distribution and productivity, climate, and water resources. China features a complex, diverse natural environment, leading to high spatiotemporal heterogeneity in ET and climatic variables. However, past and future ET trends in China remain largely unexplored. Thus, by using MOD16 products and meteorological datasets, this study examined the spatiotemporal variations of ET in China from 2000 to 2019 and analyzed what is behind changes, and explored future ET trends. Climate variation in China from 2000 to 2019 was statistically significant and had a remarkable impact on ET. Average annual ET increased at a rate of 5.3746 mm yr-1 (P < 0.01) during the study period. The main drivers of the trend are increasing precipitation and wind speed. The increase in ET can also be explained to some extent by increasing temperature, decreasing sunshine duration and relative humidity. The zonation results show that the increase in temperature, wind speed, and precipitation and the decrease in relative humidity had large and positive effects on ET growth, and the decrease in sunshine duration had either promoting or inhibiting effects in different agricultural regions. Pixel-based variations in ET exhibited an overall increasing trend and obvious spatial volatility. The Hurst exponent indicates that the future trend of ET in China is characterized by significant anti-persistence, with widely distributed areas expected to experience a decline in ET. These findings improve the understanding of the role of climate variability in hydrological processes, and the ET variability in question will ultimately affect the climate system.
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Affiliation(s)
- Jing Fu
- College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, Hunan Province, China; Hunan Key Laboratory of Geospatial Big Data Mining and Application, Hunan Normal University, Changsha 410081, Hunan Province, China; International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO, Hengyang Base, Hengyang 421002, Hunan Province, China; Hunan Weather Modification Office, Changsha 410118, Hunan Province, China.
| | - Yueqi Gong
- Hunan Key Laboratory of Geospatial Big Data Mining and Application, Hunan Normal University, Changsha 410081, Hunan Province, China
| | - Wenwu Zheng
- College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, Hunan Province, China; International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO, Hengyang Base, Hengyang 421002, Hunan Province, China
| | - Jun Zou
- College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, Hunan Province, China
| | - Meng Zhang
- Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry & Technology, Changsha 410004, Hunan Province, China
| | - Zhongbo Zhang
- Hunan Weather Modification Office, Changsha 410118, Hunan Province, China
| | - Jianxin Qin
- Hunan Key Laboratory of Geospatial Big Data Mining and Application, Hunan Normal University, Changsha 410081, Hunan Province, China
| | - Jianxiong Liu
- College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, Hunan Province, China
| | - Bin Quan
- College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, Hunan Province, China; International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO, Hengyang Base, Hengyang 421002, Hunan Province, China
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149
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Chen X, Yu L, Du Z, Xu Y, Zhao J, Zhao H, Zhang G, Peng D, Gong P. Distribution of ecological restoration projects associated with land use and land cover change in China and their ecological impacts. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 825:153938. [PMID: 35183635 DOI: 10.1016/j.scitotenv.2022.153938] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 02/05/2022] [Accepted: 02/13/2022] [Indexed: 06/14/2023]
Abstract
China is prone to broad land degradation and thus has been implementing ecological restoration projects (ERPs) since the reform and opening up. The extent of ERPs, as well as the varied planting efforts including tree gain projects (TGPs), grass gain projects (GGPs), and shrub gain projects (SGPs), have remained largely unknown. In addition, the mixed success of ERPs on preventing soil erosion and improving biodiversity is not well known. Based on a land use and land cover (LULC) product and a trajectory-based change detection approach, we successfully generated the first national map of ERPs associated with land use and land cover change (LUCC) and its three associated subcategories. Then, we applied the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to evaluate the dynamics of sediment retention and habitat quality. In addition, we explored the heterogeneous patterns for the ecological impacts of ERPs. Our results suggested that during the past 40 years, a total ERP area of 9.54 × 106 hm2 was observed nationwide, mainly in the northwestern provinces of China. Of the three ERP subcategories, TGPs accounted for the largest area (48.55%), followed by GGPs (47.50%) and SGPs (3.96%). The national average sediment retention experienced a significant increase, whereas the national average habitat quality experienced a significant decline. ERP-driven increases in habitat quality were offset partly by the LUCCs induced by economic development policies in some regions, especially in northeast China. The simultaneous effect of construction land expansion and ERP implementation on sediment retention made the synchronization between ERP implementation and sediment retention improvement insignificant. We also suggested the optimal direction for ERP implementation.
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Affiliation(s)
- Xin Chen
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
| | - Le Yu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China; Ministry of Education Ecological Field Station for East Asian Migratory Birds, Beijing 100084, China.
| | - Zhenrong Du
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
| | - Yidi Xu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
| | - Jiyao Zhao
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
| | - Haile Zhao
- College of Land Science and Technology, China Agricultural University, Beijing 100193, China
| | - Guoliang Zhang
- College of Land Science and Technology, China Agricultural University, Beijing 100193, China
| | - Dailiang Peng
- Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
| | - Peng Gong
- Ministry of Education Ecological Field Station for East Asian Migratory Birds, Beijing 100084, China; Department of Geography and Department of Earth Sciences, University of Hong Kong, Hong Kong 999077, China
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150
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Using the Auction Price Method to Estimate Payment for Forest Ecosystem Services in Xin’an River Basin in China: A BDM Approach. FORESTS 2022. [DOI: 10.3390/f13060902] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Accurately estimating the forest farmers’ protection costs for forest ecosystem services has become a hot issue in ecological economics. In this research, we propose a novel method of using an auction price model to evaluate the forest ecosystem services. We establish a functional relationship between forest farmers and the forestland that belongs to them based on experimental data from Xin’an River Basin in China. The results indicate that the average willingness of farmers to accept payment for forest ecosystem service protection in the low, middle, and high levels of forest quality is 17,123.10, 23,493.75, and 31,064.40 yuan/ha/year, respectively. Moreover, farmers with different individual characteristics, household characteristics, planting characteristics, policy cognition, and ecological awareness are also willing to be paid differently. This research can provide a reference for forest ecosystem protection policies and assist the sustainable forestry development.
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