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Ali F, Zeb M, Amin M, Rajpar M, Hidayat S, Khan W. Vegetation-edaphic correlation and importance value index in himalayan 'ecotone' temperate conifer forest using the multivariate technique. Saudi J Biol Sci 2024; 31:103983. [PMID: 38590389 PMCID: PMC11000104 DOI: 10.1016/j.sjbs.2024.103983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/17/2024] [Accepted: 03/22/2024] [Indexed: 04/10/2024] Open
Abstract
Himalayan 'Ecotone' temperate conifer forest is the cradle of life for human survival and wildlife existence. In spite of the importance of these areas, they have not been studied in depth. This study aimed to quantify the floristic structure, important value index (IVI), topographic and edaphic variables between 2019 and 2020 utilizing circular quadrant method (10 m x 10 m). The upper-storey layer consisted of 17 tree species belongs to 12 families and 9 orders. Middle-storey shrubs comprised of 23 species representing 14 families and 12 orders. A total of 43 species of herbs, grasses, and ferns were identified from the ground-storey layer, representing 25 families and 21 orders. Upper-storey vegetation structure was dominated by Pinus roxburghii (22.45 %) and middle-storey by Dodonaea viscosa (7.69 %). However, the ground layer vegetation was diverse in species composition (43 species) and distribution. The floral vegetation structure was encompassing of three floral communities which were diverse in IVI, such as, in Piro-Aial (Group 2), Pinus roxburghii (54.46 x 15.94) had the highest IVI value, followed by Pinus wallichiana (45.21 x 14.85) in Piwa-Quin (Group 3) and Ailanthus altissima (22.84 x 19.25) in Aial-Qugal (Group 1). However, the IVI values for Aesculus indica, Celtis australis, and Quercus incana in Aial-Qugal (Group 1) were not determined due to low detection rate. Nevertheless, eleven of these species showed 0 IVI values in Piro-Aial (Group 2) and Piwa-Quin (Group 3). CCA ordination biplot illustrated the significant differences among floral communities and its distribution, which impacted by temperature, rainfall, soil pH, altitude, and topographic features. Ward's agglomerative clustering finding reflected 'Ecotone' temperate conifer forest is rich and diverse floristic structure.
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Affiliation(s)
- F. Ali
- Department of Botany, Faculty of Life Sciences, Shaheed Benazir Bhutto University Sheringal, Dir Upper 18050, Pakistan
| | - M. Zeb
- Department of Forestry, Faculty of Life Sciences, Shaheed Benazir Bhutto University Sheringal, Dir Upper 18050, Pakistan
| | - M. Amin
- Department of Environment, Faculty of Life Sciences, Shaheed Benazir Bhutto University Sheringal, Dir Upper 18050, Pakistan
| | - M.N. Rajpar
- Department of Forestry, Faculty of Life Sciences, Shaheed Benazir Bhutto University Sheringal, Dir Upper 18050, Pakistan
| | - S. Hidayat
- Department of Forestry, Faculty of Life Sciences, Shaheed Benazir Bhutto University Sheringal, Dir Upper 18050, Pakistan
| | - W.R. Khan
- Department of Forestry Science, Faculty of Agricultural and Forestry Sciences, Universiti Putra Malaysia Kampus Bintulu Sarawak, 97008, Malaysia
- Institut Ekosains Borneo, Universiti Putra Malaysia Kampus Bintulu Sarawak 97008, Malaysia
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Qiao R, Li J, Liu X, Li M, Lei D, Li Y, Wu K, Du P, Ye K, Hu J. Coupling effect of key factors on ecosystem services in border areas: a study of the Pu'er region, Southwestern China. PeerJ 2024; 12:e17015. [PMID: 38529305 PMCID: PMC10962348 DOI: 10.7717/peerj.17015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 02/05/2024] [Indexed: 03/27/2024] Open
Abstract
The coupling effects created by transboundary and local factors on ecosystem services are often difficult to determine. This poses great challenges for ecosystem protection and management in border areas. To decrease uncertainty, it is crucial to quantify and spatialize the impact multiple factors have on ecosystem services within different scenarios. In this study, we identified key transboundary and local factors from a set of 15 sorted factors related to four main ecosystem services. We employed a Bayesian Network-Geographic Information System (BN-GIS) model to simulate 90 scenarios with multiple factors combinations, quantifying and spatializing the coupling effects on the main ecosystem services. These simulations were conducted in the Pu'er region, which is situated alongside three countries, and serves as a representative border area in southwest China. The results showed that: (1) The coupling effects of multiple factors yield significant variations when combined in different scenarios. Managers can optimize ecosystem services by strategically regulating factors within specific areas through the acquisition of various probabilistic distributions and combinations of key factors in positive coupling effect scenarios. The outcome is a positive coupling effect. (2) Among the four main ecosystem services in the Pu'er region, food availability and biodiversity were affected by key transboundary and local factors. This suggests that the coupling of transboundary and local factors is more likely to have a significant impact on these two ecosystem services. Of the 45 combination scenarios on food availability, the majority exhibit a negative coupling effect. In contrast, among the 45 combination scenarios on biodiversity, most scenarios have a positive coupling effect. This indicates that food availability is at a higher risk of being influenced by the coupling effects of multiple factors, while biodiversity faces a lower risk. (3) Transboundary pests & diseases, application of pesticides, fertilizer & filming , population density, and land use were the key factors affecting food availability. Bio-invasion, the normalized differential vegetation index, precipitation, and the landscape contagion index were the key factors affecting biodiversity. In this case, focusing on preventing transboundary factors such as transboundary pests & disease and bio-invasion should be the goal. (4) Attention should also be paid to the conditions under which these transboundary factors combine with local factors. In the areas where these negative coupling effects occur, enhanced monitoring of both transboundary and local factors is essential to prevent adverse effects.
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Affiliation(s)
- Ruijing Qiao
- Institute of International Rivers and Eco-security, Yunnan University, Kunming, China
- Asian International Rivers Centre, Yunnan University, Kunming, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Yunnan University, Kunming, China
| | - Jie Li
- Institute of International Rivers and Eco-security, Yunnan University, Kunming, China
- Asian International Rivers Centre, Yunnan University, Kunming, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Yunnan University, Kunming, China
| | - Xiaofei Liu
- Institute of International Rivers and Eco-security, Yunnan University, Kunming, China
- Asian International Rivers Centre, Yunnan University, Kunming, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Yunnan University, Kunming, China
| | - Mengjie Li
- School of Ecology and Environmental Science, Yunnan University, Kunming, China
| | - Dongmei Lei
- Yunnan University of Finance and Economics, Kunming, China
| | - Yungang Li
- Institute of International Rivers and Eco-security, Yunnan University, Kunming, China
- Asian International Rivers Centre, Yunnan University, Kunming, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Yunnan University, Kunming, China
| | - Kai Wu
- Institute of International Rivers and Eco-security, Yunnan University, Kunming, China
- Asian International Rivers Centre, Yunnan University, Kunming, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Yunnan University, Kunming, China
| | - Pengbo Du
- Institute of International Rivers and Eco-security, Yunnan University, Kunming, China
- Asian International Rivers Centre, Yunnan University, Kunming, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Yunnan University, Kunming, China
| | - Kun Ye
- Institute of International Rivers and Eco-security, Yunnan University, Kunming, China
- Asian International Rivers Centre, Yunnan University, Kunming, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Yunnan University, Kunming, China
| | - Jinming Hu
- Institute of International Rivers and Eco-security, Yunnan University, Kunming, China
- Asian International Rivers Centre, Yunnan University, Kunming, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Yunnan University, Kunming, China
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Wang Y, Xu Z, Yu S, Xia P, Zhang Z, Liu X, Wang Y, Peng J. Exploring watershed ecological risk bundles based on ecosystem services: A case study of Shanxi Province, China. Environ Res 2024; 245:118040. [PMID: 38154566 DOI: 10.1016/j.envres.2023.118040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 12/05/2023] [Accepted: 12/22/2023] [Indexed: 12/30/2023]
Abstract
Humans are having an increasingly profound impact on the environment along with the advent of the Anthropocene. Ecological risk assessment (ERA) as a method to quantify ecological problems can provide support for decision-makers, and it is one of key issues to integrate ecosystem services into ERA. In this study, an ERA framework was proposed under the loss-probability paradigm from the perspective of ecosystem services risk bundles. The results showed that initiatives aimed at ecological protection in Shanxi Province had been effective, the number of watersheds with low-risk bundles increased significantly (from 16.09% to 34.49%) and the watersheds basically overlapped with key forestation areas. However, the effects of forestation activities may no longer be as significant as they once were, as the relationship between forestation and water supply was becoming increasingly contradictory. Meanwhile, the conflict between urban expansion and natural ecosystem protection was intensifying, habitat degradation risks were gradually polarized, and the risk bundles dominated by high carbon emission and habitat degradation were increasing significantly (from 15.88% to 33.54%). Strengthening the construction of urban green space and controlling the expansion of human activities may be the next focus of ecological conservation in Shanxi Province. This study enriched the ERA framework with an ecosystem services risk bundle approach.
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Affiliation(s)
- Yupeng Wang
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, MNR, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Zihan Xu
- School of Soil and Water Conservation, Beijing Forestry University, Beijing, 100083, China
| | - Shuying Yu
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, MNR, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Pei Xia
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, MNR, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Zimo Zhang
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, MNR, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Xuebang Liu
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, MNR, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Yanglin Wang
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, MNR, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Jian Peng
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, MNR, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
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Zhang Z, Yu H, He N, Jin G. Future land use simulation model-based landscape ecological risk prediction under the localized shared socioeconomic pathways in the Xiangjiang River Basin, China. Environ Sci Pollut Res Int 2024; 31:22774-22789. [PMID: 38413520 DOI: 10.1007/s11356-024-32621-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/20/2024] [Indexed: 02/29/2024]
Abstract
Landscape ecological risk (LER) is an effective index to identify regional ecological risk and measure regional ecological security. The localized shared socioeconomic pathways (LSSPs) can provide multi-scenario parameters of social and economic development for LER research. The research of LER under LSSPs is of scientific significance and practical value in curbing the breeding and spread of LER risk areas. In this study, land-cover raster files from 2010 to 2020 were used as the foundational data. Future land use simulation (FLUS), regression, and Markov chain models were used to predict the land cover patterns under the five LSSP scenarios in the Xiangjiang River Basin (XJRB) in 2030. Thus, an evaluation model was established, and the LER of the watershed was evaluated. We found that the rate of land cover change (LCC) in the XJRB between 2010 and 2020 had a higher intensity (increasing at an average of 18.89% per decade) than that projected under the LSSPs for 2020-2030 (averaging an increase of 8.58% per decade). Among the growth rates of all land use types in the XJRB, that of urban land was the highest (33.3%). From 2010 to 2030, the LER in the XJRB was classified as lower risk (33.73%), lowest risk (33.11%), and moderate risk (24.13%) for each decade. Finally, the LER exhibited significant heterogeneity among different scenarios. Specifically, the percentages of regions characterized by the highest (9.77%) and higher LER (9.75%) were notably higher than those in the remaining scenarios. The higher-level risk area under the localized SSP1 demonstrated a clear spatial reduction compared to those of the other four scenarios. In addition, in order to facilitate the differential management and control of LER by relevant departments, risk zoning was carried out at the county level according to the prediction results of LER. And we got three types of risk management regions for the XJRB under the LSSPs.
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Affiliation(s)
- Zhengyu Zhang
- School of Public Administration, China University of Geosciences, Wuhan, 430074, Hubei, China
| | - Han Yu
- School of Management, RMIT University, Melbourne, VIC, 3083, Australia
| | - Nianci He
- School of Economics and Management, China University of Geosciences, Wuhan, 430078, Hubei, China
| | - Gui Jin
- School of Economics and Management, China University of Geosciences, Wuhan, 430078, Hubei, China.
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Deng G, Jiang H, Zhu S, Wen Y, He C, Wang X, Sheng L, Guo Y, Cao Y. Projecting the response of ecological risk to land use/land cover change in ecologically fragile regions. Sci Total Environ 2024; 914:169908. [PMID: 38190905 DOI: 10.1016/j.scitotenv.2024.169908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/31/2023] [Accepted: 01/02/2024] [Indexed: 01/10/2024]
Abstract
Anthropogenic activities have dramatically altered land use/land cover (LULC), leading to ecosystem service (ES) degradation and further ecological risks. Ecological risks are particularly serious in ecologically fragile regions because trade-offs between economic development and ecological protection are prominent. Thus, ways in which to assess the response of ecological risks to LULC change under each development scenario in ecologically fragile regions remain challenging. In this study, future LUCC and its impact on ESs under four development scenarios in 2040 in western Jilin Province were predicted using a patch-generating land use simulation model and the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model. Ecological risk was assessed based on future LUCC possibilities, and potential ES degradation and potential drivers of ecological risks were explored using a geographic detector. The results showed that the cropland development scenario (CDS) would experience large-scale urbanization and cropland expansion. Carbon storage (CS), habitat quality (HQ), and water purification (WP) degraded the most under the CDS, and grain yield (GY) and water yield (WY) degraded the most under the ecological protection scenario (EPS). The LUCC probability under the CDS (14.37 %) was the highest, while the LUCC probability under the comprehensive development scenario (CPDS) (8.68 %) was the lowest. The risk of WP degradation was greatest under the CDS, but the risk of soil retention (SR) degradation was greatest under the natural development scenario (NDS), EPS, and CPDS. Ecological risk coverage was the largest (98.04 %), and ecological risks were the highest (0.21) under the CDS, while those under the EPS were the opposite. Distance to roads and population density had a higher impact on ecological risks than other drivers. Further attention should be given to the ecological networks and pattern establishment in urbanized regions. This study will contribute to risk prevention and sustainable urban and agricultural development.
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Affiliation(s)
- Guangyi Deng
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Key Laboratory for Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun 130117, China.
| | - Haibo Jiang
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Key Laboratory for Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun 130117, China.
| | - Shiying Zhu
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Key Laboratory for Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun 130117, China
| | - Yang Wen
- Key Laboratory of Environmental Materials and Pollution Control, the Education Department of Jilin Province, College of Engineering, Jilin Normal University, Siping 136000, China
| | - Chunguang He
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Key Laboratory for Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun 130117, China
| | - Xue Wang
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Key Laboratory for Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun 130117, China
| | - Lianxi Sheng
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Key Laboratory for Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun 130117, China.
| | - Yue Guo
- The Office of Wetland Conservation and Management of Jilin Province, Changchun 130022, China
| | - Yingyue Cao
- Faculty of Engineering, Kyushu University, Fukuoka, Japan
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Guo H, Cai Y, Li B, Wan H, Yang Z. An improved approach for evaluating landscape ecological risks and exploring its coupling coordination with ecosystem services. J Environ Manage 2023; 348:119277. [PMID: 37839199 DOI: 10.1016/j.jenvman.2023.119277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 06/13/2023] [Accepted: 10/06/2023] [Indexed: 10/17/2023]
Abstract
The rapid urbanization has accelerated the destruction of regional ecosystems, triggering ecological risks and threatening sustainable development. Landscape ecological risk (LER) evaluation is an effective tool to mitigate such negative impacts. However, the existing evaluation systems exhibit certain subjectivity. Therefore, an improved LER evaluation method was proposed, which incorporates ecosystem services (ESs) to characterize landscape vulnerability. The method was validated using the Pearl River Delta urban agglomeration (PRDUA) as the study area. The results showed that the optimal grain size and extent for landscape pattern analysis in the PRDUA were determined to be 150 m and 6km × 6 km, respectively. The comparison results with the traditional LER evaluation method demonstrated the improved method's superior rationality and reliability. The hotspot analysis based on the Getis-Ord Gi* method revealed that the hotspots of LER were mainly concentrated in the densely populated areas of the south-central region of the PRDUA. The coupling coordination degree (CCD) between LERs and ESs showed four different levels of development in both temporal and spatial dimensions, generally dominated by moderately balanced development and lagging ESs, reflecting the unbalanced ecological environment and socio-economic development of the PRDUA. It is recommended that the ecosystems in the PRDUA be managed and protected separately according to the delineated Ecological Protection Area (EPA), Urban Built-up Area (UBA), and Urban Ecological Boundary Area (UEBA). This study can provide an important reference for regional ecosystem conservation and management.
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Affiliation(s)
- Hongjiang Guo
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; 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
| | - Yanpeng Cai
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; 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.
| | - Bowen Li
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; 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
| | - Hang Wan
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; 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
| | - Zhifeng Yang
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; 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
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Qiu M, Fu M, Zhang Z, Fu S, Yuan C. Assessing the ecological risk of croplands in loess drylands by combining environmental disturbance with ecosystem vulnerability. J Environ Manage 2023; 347:119231. [PMID: 37804628 DOI: 10.1016/j.jenvman.2023.119231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/18/2023] [Accepted: 10/02/2023] [Indexed: 10/09/2023]
Abstract
Agroecosystems suffer various ecological risks due to the intensive production of crops. However, comprehensive assessments of cropland ecological risks remain limited. This study developed an assessment method for cropland ecological risks by combining environmental disturbance with ecosystem vulnerability. Environmental disturbance reflects stresses caused by risk sources in an environment, while ecosystem vulnerability is the susceptibility of an ecosystem to adverse disturbances and its capacity to cope and adapt. The proposed method is conducive to understanding the complex exposure-response relationship between croplands and environmental stresses. Cropland ecological risk was evaluated by conducting a case study on a loess dryland region in Shaanxi. The hot spots and driving factors of risk were explored using spatial autocorrelation and quantile regression methods, respectively. Results show that overall cropland ecological risk is at medium low level. Risk hot spots are concentrated in the north of the loess dryland. Ecosystem vulnerability exerts greater effect on the distribution of hot spots than environmental disturbance in the study area. Road density (RDD), river density, and soil organic matter exert the most important effects on cropland ecological risk. Moreover, the same driving factor exhibits various effects on cropland ecological risk in different risk level areas. RDD, slope, precipitation, elevation, fertilizer application rate, gross domestic product, and distance to town center have greater effects on risk in regions with high cropland ecological risk than in regions with low cropland ecological risk. The findings of this study must be considered in formulating targeted policies for controlling cropland ecological risk in loess drylands to realize sustainable crop production.
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Affiliation(s)
- Menglong Qiu
- Center for Land Resource Research in Northwest China, Shaanxi Normal University, Xi'an, 710119, China
| | - Mengyu Fu
- Center for Land Resource Research in Northwest China, Shaanxi Normal University, Xi'an, 710119, China
| | - Zhiwei Zhang
- Anqiu Bureau of Agriculture and Rural Affairs, Weifang, 262100, China
| | - Shaowu Fu
- Center for Land Resource Research in Northwest China, Shaanxi Normal University, Xi'an, 710119, China
| | - Chengcheng Yuan
- College of Land Science and Technology, China Agricultural University, Beijing, 100193, China.
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Wen L, Peng Y, Zhou Y, Cai G, Lin Y, Li B. Study on soil erosion and its driving factors from the perspective of landscape in Xiushui watershed, China. Sci Rep 2023; 13:8182. [PMID: 37210377 DOI: 10.1038/s41598-023-35451-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 05/18/2023] [Indexed: 05/22/2023] Open
Abstract
Soil erosion (SE) is one of the most serious disasters in the world, which directly damage the productivity of the land and affect human well-being. How to effectively mitigate soil erosion is a challenge faced by all countries in the world. In this study, soil erosion was quantitatively assessed base on the RULSE model in an ecologically fragile area [Xiushui watershed (XSW)], and the effects of three major categories of factors (land use/cover change, landscape fragmentation and climate) on soil erosion were investigated using correlation analysis and structural equation model. The results indicated that there was no continuous increase or decrease trend on the SE of XSW with impact of rainfall, the mean values of SE were 2205.27 t/ha, 3414.25 t/ha and 3319.44 t/ha from 2000 to 2020 and the hot areas of SE were mainly distributed around the Xiushui river channel, respectively. The expansion of urbanization (the area of impervious increased from 113.12 to 252.57 km2) aggravated landscape fragmentation, and the landscape fragmented area had some overlap with the hot zone of SE. Additionally, the LUCC factor dominated by NDVI, landscape fragmentation factor and climate factor dominated by rainfall had a directly driving effect on SE, where the path coefficient of landscape fragmentation was 0.61 (P < 0.01), respectively. We also found that except increasing forest area, improving forest quality (NDVI, canopy closure, structure) deserved emphasized in SE management, and the effect of landscape fragmentation on SE also should not be ignored. Moreover, soil erosion assessment at large scales over long time periods tends to underestimate the driving force of rainfall on SE, and it is a great challenge to evaluate the effect of extreme rainfall on soil erosion at short time scales in a downscale manner. This research provides insights for ecological sustainable management and soil erosion protection policies.
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Affiliation(s)
- Linsheng Wen
- State Key Laboratory for Subtropical Mountain Ecology, Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou, 350117, China
- School of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, 350117, China
| | - Yun Peng
- Yuanzhou District Forestry Bureau, Yichun, 336000, Jiangxi, China
| | - Yunrui Zhou
- State Key Laboratory for Subtropical Mountain Ecology, Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou, 350117, China
- School of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, 350117, China
| | - Guo Cai
- State Key Laboratory for Subtropical Mountain Ecology, Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou, 350117, China
- School of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, 350117, China
| | - Yuying Lin
- Postdoctoral Research Station of Ecology, Fujian Normal University, Fuzhou, 350117, China.
- School of Culture, Tourism and Public Administration, Fujian Normal University, Fuzhou, 350117, China.
- The Higher Educational Key Laboratory for Smart Tourism of Fujian Province, Fuzhou, 350007, China.
| | - Baoyin Li
- State Key Laboratory for Subtropical Mountain Ecology, Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou, 350117, China.
- School of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, 350117, China.
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Du L, Dong C, Kang X, Qian X, Gu L. Spatiotemporal evolution of land cover changes and landscape ecological risk assessment in the Yellow River Basin, 2015-2020. J Environ Manage 2023; 332:117149. [PMID: 36808004 DOI: 10.1016/j.jenvman.2022.117149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 11/26/2022] [Accepted: 12/23/2022] [Indexed: 06/18/2023]
Abstract
The Yellow River Basin (YRB), which has faced severe ecological issues since ancient times, is one of the largest and most difficult-to-govern basins in the world. Recently, all provincial governments within the basin have individually enacted a series of measures to protect the Yellow River; however, the lack of central governance has inhibited efforts. Since 2019, the government has comprehensively managed the YRB, improving the governance to unprecedented levels; however, evaluations of the YRB's overall ecological status remain lacking. Using high-resolution data from 2015 to 2020, this study illustrated major land cover transitions, evaluated the correlated overall ecological status of the YRB via the landscape ecological risk index, and analyzed the relationship between risk and landscape structure. The results showed that the (1) main land cover types in the YRB in 2020 are farmland (17.58%), forestland (31.96%), and grassland (41.42%), with urban land accounting for 4.21%. Some social factors were significantly related to changes in major land cover types (e.g., from 2015 to 2020, forest and urban lands have increased by 2.27% and 10.71%, grassland and farmland decreased by 2.58% and 0.63%, respectively). (2) Landscape ecological risk improved, albeit with fluctuations (high in the northwest, low in the southeast). (3) Ecological restoration and governance were imbalanced since no obvious changes were observed in the western source region of the Qinghai Province (Yellow River). (4) Finally, positive impacts of artificial re-greening showed slight lags as the detected improvements in NDVI were not recorded for approximately 2 years. These results can facilitate environmental protection and improve planning policies.
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Affiliation(s)
- Lindan Du
- School of Geomatics, Liaoning Technical University, Fuxin, 123000, China; Chinese Academy of Surveying and Mapping, Beijing, 100036, China
| | - Chun Dong
- Chinese Academy of Surveying and Mapping, Beijing, 100036, China.
| | - Xiaochen Kang
- Chinese Academy of Surveying and Mapping, Beijing, 100036, China.
| | - Xinglong Qian
- Chinese Academy of Surveying and Mapping, Beijing, 100036, China
| | - Lingxiao Gu
- School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454003, China
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10
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Wang Y, Yang Z, Yu M, Lin R, Zhu L, Bai F. Integrating Ecosystem Health and Services for Assessing Ecological Risk and its Response to Typical Land-Use Patterns in the Eco-fragile Region, North China. Environ Manage 2023; 71:867-884. [PMID: 36318286 DOI: 10.1007/s00267-022-01742-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 10/19/2022] [Indexed: 05/08/2023]
Abstract
Changes in land-use patterns may increase the ecological risks faced by Eco-Fragile regions. It is vital for regional ecological restoration and management of Eco-Fragile regions to reasonably assess ecological risk and study its response to typical land-use patterns. Existing study on regional ecological risk largely ignored the internal representation of ecosystem health and ecosystem services to ecological risk, and also ignored the internal relationship between ecological risk and land use patterns. This study developed a regional ecological assessment model by describing the relationship between ecosystem health, ecosystem services and ecological risks. Among them, the ecosystem health assessment used the Net Primary Productivity, landscape index and ecosystem elasticity coefficient based on different land use patterns to build Vigor-Organization-Resilience (VOR) model, and the improved equivalent factor method was used to calculate the ecosystem service value. Taking the Fen River Basin (FRB), a typical Eco-Fragile region of the Loess Plateau, as a study region, spatial auto-correlation analysis was used to reveal the temporal and spatial changes and spatial clustering characteristics of regional ecological risk, and regression analysis was used to study the relationship between typical land use patterns and ecological risks, which was included in the consideration of ecological and environmental risk management strategies. The results show that the regions with high ecological risk are mainly distributed in the middle and southwest of the FRB; the regions with low ecological risk are mainly distributed in the north, east and west of the FRB. Both high-risk and low-risk areas show significant spatial clustering effects. The change of ecological risk in FRB is related to the land use patterns. The ecological risk is negatively related to the expansion of construction land and cultivated land at the county and patch scales. On this basis, the environmental management strategies at different scales are discussed. This study can helpful deepen the understanding of the impact of land use patterns on ecological risk, and can also provide important reference for regional ecological risk management and land use policies.
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Affiliation(s)
- Yisen Wang
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, Hubei, 430072, China
| | - Zhonghua Yang
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, Hubei, 430072, China.
| | - Minghui Yu
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, Hubei, 430072, China
| | - Ruyu Lin
- CCCC Hemei Eco-environmental Construction Co., Ltd, Wuhan, Hubei, 430050, China
| | - Lei Zhu
- CCCC Hemei Eco-environmental Construction Co., Ltd, Wuhan, Hubei, 430050, China
| | - Fengpeng Bai
- Changjiang Water Resources Protection Institute, Wuhan, Hubei, 430051, China
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11
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Wang J, Li Y, Wang S, Li Q, Li L, Liu X. Assessment of Multiple Ecosystem Services and Ecological Security Pattern in Shanxi Province, China. Int J Environ Res Public Health 2023; 20:4819. [PMID: 36981728 PMCID: PMC10049408 DOI: 10.3390/ijerph20064819] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 02/28/2023] [Accepted: 03/07/2023] [Indexed: 06/18/2023]
Abstract
The ecological security pattern construction could effectively regulate ecological processes and ensure ecological functions, then rationally allocate natural resources and green infrastructure, and, finally, realize ecological security. In view of serious soil erosion, accelerated land desertification, soil pollution and habitat degradation in Shanxi Province, the spatial distribution of six key ecosystem services, including water conservation (WC), soil conservation (SC), sand fixation (SF), carbon storage (CS), net primary productivity (NPP) and habitat quality (HQ), was analyzed by using multiple models. The comprehensive ability of multiple ecosystem services in different regions was quantified by calculating multiple ecosystem services landscape index (MESLI). Combined with ecosystem services hotspots, the ecological security pattern of Shanxi Province was constructed by using the minimum cumulative resistance model. The results showed that the spatial differences in ecosystem services in Shanxi Province were obvious, which was low in the seven major basins and Fen River valley, and high in the mountains (especially Taihang and Lvliang Mountains) for WC, SC, CS, NPP and HQ, while high SF was only distributed in the northern Shanxi. The MESLI showed that the ability to provide multiple ecosystem services simultaneously was low in Shanxi Province, with the medium and low grade MESLI regions accounting for 58.61%, and only 18.07% for the high grade MESLI regions. The important protected areas and ecological sources of the ecological security pattern were concentrated in the Lvliang and Taihang Mountains, which were consistent with the key areas of ecosystem services. The ecological corridors illustrated network distribution with ecological sources as the center, the low-, medium- and high-level buffers accounted for 26.34%, 17.03% and 16.35%, respectively. The results will provide important implications for economic transformation, high-quality development and ecological sustainable development in resource-based regions worldwide.
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Affiliation(s)
- Jinfeng Wang
- School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China
| | - Ya Li
- School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China
| | - Sheng Wang
- School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China
| | - Qing Li
- Institute of Geographical Sciences, Hebei Academy of Sciences, Hebei Engineering Research Center for Geographic Information Application, Shijiazhuang 050011, China
| | - Lingfeng Li
- School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China
| | - Xiaoling Liu
- School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China
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12
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Qu C, Li W, Xu J, Shi S. Blackland Conservation and Utilization, Carbon Storage and Ecological Risk in Green Space: A Case Study from Heilongjiang Province in China. Int J Environ Res Public Health 2023; 20:3154. [PMID: 36833847 PMCID: PMC9967734 DOI: 10.3390/ijerph20043154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Clarifying the relationship between carbon storage and ecological risks is critical to ensuring regional sustainable development. Land use changes caused by land use policy invariably result in substantial changes in carbon storage and ecological risks. The link between carbon storage and ecological risks in green space is still unknown, even though green space is an essential ecological function carrier. According to the Blackland Conservation Utilization (BCU) policy document and natural exploitation (NP) status, this study compared and projected the carbon storage and landscape ecological risk characteristics of green space in Heilongjiang Province (HLJP) for 2030. It also quantitatively assessed the interactions and synergistic changes of the two variables in terms of coupled coordination relationships, quantitative correlations, and spatial correlations. The results demonstrated the following: (1) the green space evolution of HJLP under the BCU scenario is significantly more drastic than under the NP scenario; (2) In 2020-2030, the NP scenario's evolution of green space results in the ecosystem losing 323.51 × 106 t of carbon storage, compared to the BCU scenario's loss of just 216.07 × 106 t. The BCU policy will increase the agglomeration of high-risk ranges in the northeast and southwest will but decrease the overall landscape ecological risk level of green space; (3) BCU policy will prevent the system's orderly development and benign coupling, but it will increase the interdependence between carbon storage and landscape ecological risks in green space; (4) Green space exchange and loss will result in the simultaneous rise or decrease in both variables. The magnitude of carbon storage increase owing to green space expansion tends to increase simultaneously with the magnitude of landscape ecological risk reduction. To a certain extent, the HLJP black land conservation and utilization policy can improve carbon storage and ensure ecological security, and the matching of dominant regions with the status of the landscape evolutionary process can support future carbon-neutral actions.
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Affiliation(s)
| | - Wen Li
- College of Landscape Architecture, Northeast Forestry University, Harbin 150000, China
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13
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Xiong H, Hu H, Han P, Wang M. Integrating Landscape Ecological Risks and Ecosystem Service Values into the Ecological Security Pattern Identification of Wuhan Urban Agglomeration. Int J Environ Res Public Health 2023; 20:2792. [PMID: 36833487 PMCID: PMC9956298 DOI: 10.3390/ijerph20042792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/29/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
Urban agglomerations are the main form of China's future promotion of new urbanization development. Nevertheless, their accelerated expansion and development are increasingly threatening the security of regional ecosystems. The identification and optimization of ecological safety patterns (ESPs) is the fundamental spatial way to guarantee the ecological safety of urban circles and realize the sustainable development of the socio-economic and ecological environment. Nevertheless, from the perspective of urban green, low-carbon, and ecological restoration, regional safety evaluation still lacks a complete framework integrating ecological elements and social and natural indicators. Moreover, the evaluation method of ESPs also has a lack of judgment on the long-term change dynamics of regional landscape ecological risks and ecosystem service values. Thus, we proposed a new regional ecological security evaluation system based on ecosystem service value (ESV) and landscape ecological risk (LER), using the Wuhan urban agglomeration (WUA) as the research object. This study analyzed LER and ESV's spatial and temporal changes over nearly 40 years from 1980 to 2020. LER and LSV were used as ecological elements combined with natural and human-social elements to jointly model the resistance surface of the landscape pattern. Applying the minimum cumulative resistance model (MCR), we identified green ecological corridors, constructed the ESPs of WUA, and proposed optimization measures. Our results show that: (1) The proportion of higher- and high-ecological-risk areas in WUA has decreased from 19.30% to 13.51% over the past 40 years. Over time, a "low-high-low" hierarchical distribution characteristic centered on Wuhan city was gradually formed in the east, south, and north; the total value of ecosystem services increased from CNY1110.998 billion to CNY1160.698 billion. The ESV was higher in the northeastern, southern, and central parts of the area. (2) This study selected 30 ecological source areas with a total area of about 14,374 km2 and constructed and identified 24 ecological corridors and 42 ecological nodes, forming a multi-level ecological network optimization pattern with intertwined points, lines, and surfaces, increasing the connectivity of the ecological network and improving the ecological security level of the study area to a large extent, which is of great significance to promote the ecological priority and green-rise strategy of WUA and the high-quality development path of the green ecological shelter.
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Affiliation(s)
- Haojun Xiong
- College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Haozhi Hu
- College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Pingyang Han
- College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Min Wang
- Key Laboratory of Urban Agriculture in Central China, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China
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14
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Bian J, Chen W, Zeng J. Ecosystem services, landscape pattern, and landscape ecological risk zoning in China. Environ Sci Pollut Res Int 2023; 30:17709-17722. [PMID: 36198982 DOI: 10.1007/s11356-022-23435-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/29/2022] [Indexed: 06/16/2023]
Abstract
Ecosystem services represent a bridge between natural ecosystems and human well-being and are closely associated with landscape ecological risk (LER). Delimiting reasonable LER areas is important for ecosystem protection, and it is essential to link ecosystem services to LER zoning. However, only a few studies have achieved this, and the zoning accuracy of LER remains poorly understood. Therefore, in this study, we evaluated the ecosystem service value (ESV) and LER index using the equivalent value method and landscape pattern index via the remote sensing of land use data at the county level in China in 2000-2015. We applied bivariate spatial autocorrelation as well as the grey correlation analysis model to analyse the ESV-LER spatial relationships and developed a general framework to improve the accuracy of LER zoning. We found that the average ESV increased from $761.42 thousand/km2 in 2000 to $766.16 thousand/km2 in 2015, while the LER index continuously decreased in China. We also discerned a significant negative correlation between ESV and LER (p < 0.001), whereas approximately 750 counties in China exhibited high ESV and low LER indices during the study period. The final LER zoning revealed that the high-LER areas in China were mainly located in the plain areas, and the proportion of counties with high LER levels increased from 17.97% in 2000 to 26.56% in 2015. Overall, our results have important implications for ecological security, future landscape planning and design, and ecologically sustainable development in China.
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Affiliation(s)
- Jiaojiao Bian
- 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
| | - 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.
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China.
| | - Jie Zeng
- 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
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15
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Li M, Zhang B, Zhang X, Zhang S, Yin L. Exploring Spatio-Temporal Variations of Ecological Risk in the Yellow River Ecological Economic Belt Based on an Improved Landscape Index Method. Int J Environ Res Public Health 2023; 20:1837. [PMID: 36767204 PMCID: PMC9914419 DOI: 10.3390/ijerph20031837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Intense human activities have led to profound changes in landscape patterns and ecological processes, generating certain ecological risks that seriously threaten human wellbeing. Ecological risk assessment from a landscape perspective has become an important tool for macroecosystem landscape management. This research improves the framework and indices of the ecological risk assessment from a landscape perspective, evaluates the land use pattern and landscape ecological risk dynamics in the Yellow River Ecological Economic Belt (YREEB), analyzes the spatiotemporal variation, and identifies key areas for ecological risk management. The results indicate the following: The main land use types in the region are grassland and cropland, but the area of cropland and grassland decreased during the study period, and with the accelerated urbanization, urban land is the only land use type that continued to increase over the 20-year period. The ecological risk in the YREEB tended to decrease, the area of low ecological risk zones increased, while the area of high ecological risk zones gradually decreased. Most areas are at medium risk level, but the risk in central Qinghai and Gansu is obviously higher, and there is a dispersed distribution of local high- and low-risk zones. A total of 37.7% of the study area is identified as critical area for future risk management, and the potential for increased risk in these areas is high. These results can provide a basis for sustainable development and planning of the landscape and the construction of ecological civilization in ecologically fragile areas.
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Affiliation(s)
- Meirui Li
- College of Geography and Environment, Shandong Normal University, Jinan 250014, China
| | - Baolei Zhang
- College of Geography and Environment, Shandong Normal University, Jinan 250014, China
| | - Xiaobo Zhang
- Zaozhuang Municipal Bureau of Natural Resources and Planning, Zaozhuang 277099, China
| | - Shumin Zhang
- Research Institute of Regional Economy, Shandong University of Finance and Economics, Jinan 250014, China
| | - Le Yin
- College of Geography and Environment, Shandong Normal University, Jinan 250014, China
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16
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Li T, Lü Y, Ma L, Li P. Exploring cost-effective measure portfolios for ecosystem services optimization under large-scale vegetation restoration. J Environ Manage 2023; 325:116440. [PMID: 36242970 DOI: 10.1016/j.jenvman.2022.116440] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 09/20/2022] [Accepted: 10/02/2022] [Indexed: 06/16/2023]
Abstract
Ecosystem services-based land management incorporates environmental features and social needs, providing an important opportunity to realize global sustainability goals. Recent decades, the interaction among water-related ecosystem services (ESs) is getting ambiguous during regional vegetation restoration, which entails challenges for coordinating restoration actions, economic resources, and water-soil resources' availability. In this study, we first explored mechanism of trade-offs among five water-related ESs in the Chinese Loess Plateau under vegetation restoration. Given the decreased baseflow and its widespread trade-offs with water quality, we then developed four scenarios aiming at enhancing the baseflow and nutrient retention in a cost-effective way, by engaging a spatially explicit biophysical software tool-the RIOS model. Moreover, we selected four typical watersheds in the Loess Plateau as cases to demonstrate the differentiated information on the budget levels and the activity sites. The results indicated that, a deep mechanism of scale effects of trade-off among ESs was largely related to spatial heterogeneity rather than spatial resolution, which also affected activity portfolios under different ES scenarios. For the entire Loess Plateau, activity of forest maintenance should be concentrated on the cost-effective locations of investment for the enhancement of baseflow and nutrient retention. Under the regular budget scenarios, trade-offs only could be locally alleviated in reality, while dropping the high-cost ES objectives is an advisable strategy for minimizing investment risk. Taking conservation agricultural practices in the plain river basins should be regarded as a priority when budget can be increased. In contrast, an approach of 'governing by non-interference' for typical watersheds of re-vegetation was sensible strategy for avoiding trade-offs aggravation. These findings emphasized interrelation between the mechanism of ESs trade-offs and activity portfolios, which is an important basis for the implementation of conservation activities in real world context, and a rational reference for the simulation of desired ES goals in future studies.
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Affiliation(s)
- Ting Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China.
| | - Yihe Lü
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Liyang Ma
- College of Marxism, Xi'an University of Science and Technology, Xi'an, 710054, China.
| | - Pengfei Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China.
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17
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Ran P, Hu S, Frazier AE, Yang S, Song X, Qu S. The dynamic relationships between landscape structure and ecosystem services: An empirical analysis from the Wuhan metropolitan area, China. J Environ Manage 2023; 325:116575. [PMID: 36308968 DOI: 10.1016/j.jenvman.2022.116575] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/29/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
Environmental managers have been striving to optimize landscape structure to achieve a sustained supply of ecosystem services (ESs). However, we still lack a full understanding of the relationships between landscape structure and ESs due to the absence of thorough investigations on the variability of these relationships in space and time. To fill this critical gap, we assessed landscape structure alongside four important ESs (agricultural production (AP), carbon sequestration (CS), soil conservation (SC), and water retention (WR)) in the Wuhan metropolitan area (WMA), and then analyzed the spatiotemporal impacts of landscape structure on ESs from 2000 to 2020 using Geographically and Temporally Weighted Regression. The results show only AP maintained a stable growth trend over the past two decades, while the other ESs fluctuated considerably with a noticeable decline in SC and WR. The importance of landscape structure in influencing ESs varies by time and place, depending on the local landscape composition and configuration. In general, landscape composition has a stronger and less temporally stable impact on ESs compared to configuration. Furthermore, increases in landscape diversity, as measured through Shannon's diversity index, and the percentage of woodlands were found to contribute to the simultaneous benefits of multiple ESs, but in most cases the effects of landscape structure on different ESs were different or even opposite, suggesting that trade-offs are critical in landscape management. The findings highlight the complex response of ESs to dramatically changing landscapes in the WMA and can guide decision-makers in precise spatial arrangement and temporal adjustments to improve current landscape management.
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Affiliation(s)
- Penglai Ran
- School of Public Administration, China University of Geosciences, Wuhan, 430074, PR China; Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan, 430074, PR China
| | - Shougeng Hu
- School of Public Administration, China University of Geosciences, Wuhan, 430074, PR China; Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan, 430074, PR China.
| | - Amy E Frazier
- School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, 85281, USA
| | - Shengfu Yang
- School of Public Administration, China University of Geosciences, Wuhan, 430074, PR China; Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan, 430074, PR China
| | - Xinyu Song
- School of Public Administration, China University of Geosciences, Wuhan, 430074, PR China; Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan, 430074, PR China
| | - Shijin Qu
- School of Public Administration, China University of Geosciences, Wuhan, 430074, PR China; Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan, 430074, PR China
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18
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Wang J, Zhou W, Guan Y. Optimization of management by analyzing ecosystem service value variations in different watersheds in the Three-River Headwaters Basin. J Environ Manage 2022; 321:115956. [PMID: 35987052 DOI: 10.1016/j.jenvman.2022.115956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 07/25/2022] [Accepted: 08/03/2022] [Indexed: 06/15/2023]
Abstract
Variation analysis of ecosystem services (ESs) is an important means of regional watershed management, especially for the ecologically fragile Three-River Headwaters Basin (TRHB), which is an important part of the national ecological security barrier. In this study, meteorological data, remote sensing images and land use data from 2000 to 2020 in the TRHB were collected. Based on the estimation of ecosystem service values (ESVs), the spatial-temporal variations of ESVs in the three watersheds were analyzed via spatial autocorrelation analysis, one-way analysis of variance (ANOVA), and correspondence analysis. The study indicates that for the 20-year changes in the TRHB, the provisioning service (PS) and regulating service (RS) increased in most areas except for a small decrease in the northwest, while the supporting service (SS) value in most areas in the southwest showed a decreasing trend. Through the difference results of different watersheds, it can be seen that the differences in the PS and RS values among the three watersheds became increasingly more significant with the passage of time. Moreover, a significant correspondence was identified between each watershed and each ESV level, whereby the highest ESV levels (SS-VI, RS-VI, and PS-VI) mainly corresponded to the Yellow River watershed, the high values (SS-V, RS-V, PS-V, SS-IV, RS-IV, and PS-IV) mainly corresponded to the Lancang River watershed, and the low values (SS-I, RS-I, and PS-I) corresponded to the Yangtze River watershed. Our analysis shows the variation characteristics of ESVs to provide a guiding basis for ensuring the precise implementation of the management and protection of watersheds in the TRHB or similar areas.
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Affiliation(s)
- Juan Wang
- School of Land Science and Technology, China University of Geosciences Beijing, Beijing, 100083, China
| | - Wei Zhou
- School of Land Science and Technology, China University of Geosciences Beijing, Beijing, 100083, China; Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, Beijing, 100035, China; Technology Innovation Center for Ecological Restoration in Mining Areas, Ministry of Natural Resources, Beijing, 100083, China.
| | - Yanjun Guan
- School of Land Science and Technology, China University of Geosciences Beijing, Beijing, 100083, China
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19
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Gao H, Song W. Assessing the Landscape Ecological Risks of Land-Use Change. Int J Environ Res Public Health 2022; 19:13945. [PMID: 36360824 PMCID: PMC9659079 DOI: 10.3390/ijerph192113945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 10/21/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
In recent years, a changing global climate and the continuous expansion of the intensity and scope of human activities have led to regional differentiation in the surface landscape. This has caused numerous ecological risks under multiple pressure sources, gradually becoming an important factor restricting the sustainable development of economic and social health. With the continuous development of the social economy, land use and associated ecological risks will inevitably change. According to the forest transformation theory and the environmental Kuznets curve, we put forward the theoretical framework of ecological risk transformation of land-use change and took Zhangjiachuan County (China) as an example to verify it. Therefore, on the basis of Landsat satellite data, this paper used landscape structures to calculate an ecological risk index, and evaluated the ecological risk of land-use changes through pattern index analyses. The results show that, from 2000 to 2020, the ecological risk index of land-use change in Zhangjiachuan County exhibited an increasing and then decreasing trend, showing an overall "inverted U-shaped" trend of change consistent with the transformation theoretical framework of ecological risks of land use change. Secondly, in terms of patterns, the ecological risk of land-use change in Zhangjiachuan County showed a distribution feature of high in the west and low in the east. In 2000, high-risk areas were mainly concentrated in the central and northern areas, while low-risk areas were mainly concentrated in the eastern areas. From 2000 to 2015, the medium-risk areas expanded to the west and midwest, and the geographic centers of the risk areas were slightly offset. From 2015 to 2020, the overall pattern of ecological risk areas was basically the same as that of the previous stage, but the medium-risk areas were slightly reduced. In terms of quantity, from 2000 to 2015, the areas of the lowest risk level and low risk level decreased, while the areas of medium risk level, high risk level, and the highest risk level increased; from 2015 to 2020, the areas of the lowest risk level and low risk level increased, and the areas of medium risk level, high risk level, and highest risk level decreased. Lastly, the spatial aggregation of ecological risks in Zhangjiachuan County weakened slightly from 2000 to 2005, gradually increased from 2005 to 2015, and then slightly weakened from 2015 to 2020.
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Affiliation(s)
- He Gao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- School of Geosciences, Yangtze University, Wuhan 430100, China
| | - Wei Song
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- Hebei Collaborative Innovation Center for Urban-Rural Integration Development, Shijiazhuang 050061, China
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Liang Y, Song W. Integrating potential ecosystem services losses into ecological risk assessment of land use changes: A case study on the Qinghai-Tibet Plateau. J Environ Manage 2022; 318:115607. [PMID: 35780675 DOI: 10.1016/j.jenvman.2022.115607] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 06/11/2022] [Accepted: 06/20/2022] [Indexed: 05/14/2023]
Abstract
In recent years, climate change has caused a significant increase in the natural disaster risk on a global scale, posing a great threat to humans and ecosystems. In addition to natural disasters, climate change and human activity-driven land use changes can also increase the ecological risk by reducing the supply of ecosystem services for humans. However, compared with the mature risk assessment framework in the field of natural disasters, the ecological risk of land use change is still a novel concept, and neither the connotation nor the evaluation methods are sufficiently defined. Therefore, with the help of the classic framework in the field of disaster risk assessment, a new framework for assessing the ecological risk of land use change is proposed and applied to the Qinghai-Tibet Plateau of China. The ecological risk of land use changes can be defined as the product of the possibility of land use changes and the hazard (loss of ecosystem services) caused by land use changes. In the future, the possibility of land use change on the Qinghai-Tibet Plateau will be higher in the east and lower in the west; the accompanying hazards are predicted to be higher in the southeast and lower in the central and western regions. The ecological risk of land use changes on the Qinghai-Tibet Plateau will be highest in the southeastern part and along the edges of the plateau.
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Affiliation(s)
- Ying Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China; School of Government, Beijing Normal University, Beijing, 100875, PR China; School of Architecture and Design, Beijing Jiaotong University, 100044, PR China
| | - Wei Song
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China; Hebei Collaborative Innovation Center for Urban-rural Integration Development, Shijiazhuang, 050061, PR China.
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Guo Y, Li R, Yang Y, Ma J, Zheng H. Integrating future grassland degradation risk to improve the spatial targeting efficiency of payment for ecosystem services. J Environ Manage 2022; 317:115490. [PMID: 35751284 DOI: 10.1016/j.jenvman.2022.115490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/02/2022] [Accepted: 06/04/2022] [Indexed: 06/15/2023]
Abstract
Spatial targeting plays a key role in improving the efficiency of payment for ecosystem services (PES). However, the risk of grassland degradation after implementing PES increases uncertainty about the efficiency of PES. Here, we identified the spatial heterogeneity of grassland degradation risk using Future Land Use Simulation (FLUS) model, then incorporated grassland degradation risk as a criterion into PES spatial targeting using cost-benefit analysis and ranking optimization. The framework was applied to a case study of the Three-River-Source National Park, China. We found that grasslands in the study area continued to degrade between 2015 and 2025, and the area of degraded grasslands increased by 26%. Compared with spatial targeting of PES without considering grassland degradation risk, PES spatial targeting that considered grassland degradation risk was significantly different (the overlap area accounted for only 75%, 82%, and 94% of the PES area within 25%, 50%, and 75% of the total protection cost budget). When the grassland degradation risk was considered as a targeting criterion, PES efficiency increased by 154%, 116%, 124%, and 99%, respectively, within 25%, 50%, 75%, and 100% of the total protection cost budget. Our results demonstrate that considering grassland degradation risk in the spatial targeting of PES increases efficiency because it helps to target areas with greater environmental benefits.
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Affiliation(s)
- Yanan Guo
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ruonan Li
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing, 100085, China
| | - Yanzheng Yang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing, 100085, China
| | - Jinfeng Ma
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing, 100085, China
| | - Hua Zheng
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
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22
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Pan Z, Gao G, Fu B. Spatiotemporal changes and driving forces of ecosystem vulnerability in the Yangtze River Basin, China: Quantification using habitat-structure-function framework. Sci Total Environ 2022; 835:155494. [PMID: 35483469 DOI: 10.1016/j.scitotenv.2022.155494] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 04/20/2022] [Accepted: 04/20/2022] [Indexed: 06/14/2023]
Abstract
Ecosystem vulnerability is the degree to which an ecosystem is susceptible to adverse effects of external disturbances. Exploring the pattern of ecosystem vulnerability and its driving mechanism is important for regional ecological protection and management. A little study has conducted the ecosystem vulnerability assessment from the perspective of multiple ecosystems characteristics, and the spatial heterogeneity impacts of climate change and human activities on ecosystem vulnerability variation need to be further explored. In this study, a habitat-structure-function framework was proposed to evaluate ecosystem vulnerability pattern of the Yangtze River Basin (YRB) in China from 1990 to 2018. Then, the spatial heterogeneity impacts of various factors on ecosystem vulnerability changes were examined utilizing the Geographically Weighted Regression model. Results show that the ecosystem vulnerability index (EVI) pattern in the YRB decreased from upstream to downstream. There was 63.85% of the basin area experiencing a decline in EVI from 1990 to 2018, which was primarily found in the source, southwest and north regions, while the southeast and east regions have suffered an increase in EVI. The impact of climate change on EVI changes increased as time scales increase, while, human activities were still the dominant factor leading EVI changes. Overall, areas with great impact of climate change on EVI variation were concentrated in the source region and upper reaches, while the remarkable impact of human activities occurred in the whole basin. The enhancement of climate warming and humid trend and the strengthen of ecological protection were benefit to the decline of EVI. The proposed framework can be extended to assess vulnerability in other areas or specific ecosystem types, and the findings are expected to provide policy recommendations for ecosystem conservation and management in the YRB.
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Affiliation(s)
- Zhenzhen Pan
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Guangyao Gao
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
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Qian Y, Dong Z, Yan Y, Tang L. Ecological risk assessment models for simulating impacts of land use and landscape pattern on ecosystem services. Sci Total Environ 2022; 833:155218. [PMID: 35421487 DOI: 10.1016/j.scitotenv.2022.155218] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 04/08/2022] [Accepted: 04/08/2022] [Indexed: 06/14/2023]
Abstract
Rapid urbanization involves the expansion of construction land, which changes the land use and landscape pattern in watersheds. Moreover, it degrades ecosystem services and habitat quality, thus creating adverse ecological impacts such as the diffusion of non-point source (NPS) pollution. Therefore, it is urgent to investigate the adverse effects and potential ecological risks caused by variations in land use due to territory development and urbanization. Houxi Basin is a typical Chinese southeastern coastal watershed in the process of urbanization, and the ecological risk from 2011 to 2019 is here assessed. Based on ecosystem vulnerability and the interference with the ecosystem, we evaluated the risk of degradation of habitat services provided by terrestrial ecosystems due to changes in landscape patterns. In addition, the export coefficient model is employed to build an exposure-response relationship between land use and NPS pollution to investigate the risk of degrading water-purification services provided by aquatic ecosystems. The results show that the risks of degrading habitat-provision services increase slightly but for water-purification services increases rapidly. Alternatively, the integrated optimization scenario of key areas for 2030 reduces the risk of pollution diffusion and the landscape risk by 4.27% and 10.25%, respectively, compared with the business-as-usual scenario. In summary, reasonable planning of land-use types and spatial layout is conducive to reducing ecological risks. Other conclusions can be drawn: the combined replacement of forest and grassland more effectively inhibits pollution diffusion than does replacing only forest or only grassland. Optimizing areas with high land-use impact coefficients inhibits pollution diffusion more effectively than does optimizing areas with high export coefficients. Lastly, instead of increasing the area of green land, adjusting its spatial layout proves to be more effective in lowering the ecological risk to water-purification and habitat-provision services.
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Affiliation(s)
- Yao Qian
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Zheng Dong
- University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Yan Yan
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Lina Tang
- Key Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
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Wang Q, Yang K, Li L, Zhu Y. Assessing the Terrain Gradient Effect of Landscape Ecological Risk in the Dianchi Lake Basin of China Using Geo-Information Tupu Method. Int J Environ Res Public Health 2022; 19:9634. [PMID: 35954991 PMCID: PMC9368423 DOI: 10.3390/ijerph19159634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
The assessment of landscape ecological risk (LER) in different terrain gradients is beneficial to ecological environmental protection and risk management in different terrain gradients. Due to the impact of urban expansion, the landscape pattern of the Dianchi Lake basin (DLB) changed obviously, resulting in significant spatial difference of LER. At present, the LER assessment of the DLB is not clear, and the evolution mechanism of LER in different terrain gradients has not been revealed. Based on the LER assessment model, the geo-information Tupu method, the terrain niche gradient, and distribution index, this paper analyzed the LER and its terrain gradient effect in the DLB of China. The conclusions are as follows: (1) Since 1995, the land use type has mainly changed from grassland and cultivated land to construction land in the DLB of China. (2) The LERs in the DLB of China were mainly low, med low, and med high due to the transformation of land use type. The dominance distribution of the low and high LER was obviously constrained by terrain gradient. While the dominance distribution of med-low LER expanded to med-high terrain gradient, the dominance distribution of the med-high LER decreased to med-low terrain gradient. (3) The Tupu LERs were mainly a stable type of "medium" risk and anaphase change type of "med-high to medium" risk. The dominant distribution regions of the stable type, the prophase change type, and the continuous change type were relatively stable; the anaphase and middle change type expanded to the higher terrain gradient, and the repeated change type decreased to the med-high terrain gradient. In the process of ecological risk management and protection in the DLB, attention should be paid to the water area structure and LER control in med-high and high terrain gradients.
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Affiliation(s)
- Qiming Wang
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China
- GIS Technology Research Centre of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Kunming 650500, China
| | - Kun Yang
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China
- GIS Technology Research Centre of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Kunming 650500, China
| | - Lixiao Li
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China
| | - Yanhui Zhu
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China
- GIS Technology Research Centre of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Kunming 650500, China
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Zhao Y, Kasimu A, Liang H, Reheman R. Construction and Restoration of Landscape Ecological Network in Urumqi City Based on Landscape Ecological Risk Assessment. Sustainability 2022; 14:8154. [DOI: 10.3390/su14138154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Abstract
The ecological protection and sustainable development of Urumqi have become an important part of the high-quality growth of the urban agglomeration on the northern slope of Tianshan Mountain. Under the impacts of multi-source factors, the ecological landscape pattern of Urumqi has changed due to it being in a fragile eco-environment, so an ecological network is desperately needed to enhance ecological security patterns. Taking Urumqi city as the study area, the ecological risk evaluation model and the minimum cumulative resistance model were integrated to analyze the spatial and temporal features of landscape ecological risk from 2000 to 2020, and the future land use simulation model was used to predict the ecological risk pattern of Urumqi in 2030, construct a landscape ecological network, and propose ecological security protection strategies. Since 2000, land use in Urumqi has undergone drastic changes: the built-up land area has increased significantly, the landscape has diversified, and landscape fragmentation has shown a decreasing trend from the main urban area as the core to the urban fringe. The high-risk landscape ecology shows a decreasing trend from east to west, mainly in the bare land areas with sparse vegetation, whereas the risk is relatively low in woodland, arable land, and built-up areas. The change of risk in the study area is mainly influenced by the typical defective factors of oasis cities such as urban expansion, land desertification, and sparse vegetation. The landscape ecological network is mainly located in the southwest, central, and east of the study area, whereas there is no corridor distribution in the north and southeast, which is mainly caused by the special geographical location and climatic conditions. The ecological network mainly consists of 10 ecological sources and 10 ecological corridors and proposes conservation strategies for the optimization of the landscape pattern and for the construction of the ecological security pattern in Urumqi, providing a guide for the improvement of ecological security.
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Zhou Y, Yue D, Liang G, Li S, Zhao Y, Chao Z, Meng X. Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China. Remote Sensing 2022; 14:2942. [DOI: 10.3390/rs14122942] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Debris flow risk comprehensively reflects the natural and social properties of debris flow disasters and is composed of the risk of the disaster-causing body and the vulnerability of the carrier. The Bailong River Basin (BRB) is a typical mountainous environment where regional debris flow disasters occur frequently, seriously threatening the lives of residents, infrastructure, and regional ecological security. However, there are few studies on the risk assessment of mountainous debris flow disasters in the BRB. By considering a complete catchment, based on remote sensing and GIS methods, we selected 17 influencing factors, such as area, average slope, lithology, NPP, average annual precipitation, landslide density, river density, fault density, etc. and applied a machine learning algorithm to establish a hazard assessment model. The analysis shows that the Extra Trees model is the most effective for debris flow hazard assessments, with an accuracy rate of 88%. Based on socio-economic data and debris flow disaster survey data, we established a vulnerability assessment model by applying the Contributing Weight Superposition method. We used the product of debris flow hazard and vulnerability to construct a debris flow risk assessment model. The catchments at a very high-risk were distributed mainly in the urban area of Wudu District and the northern part of Tanchang County, that is, areas with relatively dense economic activities and a high disaster frequency. These findings indicate that the assessment results provide scientific support for planning measures to prevent or reduce debris flow hazards. The proposed assessment methods can also be used to provide relevant guidance for a regional risk assessment of debris flows in the BRB and other regions.
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Zhang X, Yao L, Luo J, Liang W. Exploring Changes in Land Use and Landscape Ecological Risk in Key Regions of the Belt and Road Initiative Countries. Land 2022; 11:940. [DOI: 10.3390/land11060940] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The Belt and Road Initiative (BRI) has revealed that it is necessary to strengthen research on land use and land cover change (LUCC) and ecological risk in key regions of countries around the world. In this study, the spatiotemporal characteristics of LUCC in the five capitals of Central Asian countries within the BRI were analyzed. Based on the grid scale, a landscape pattern index was introduced to quantitatively evaluate the landscape ecological risk levels of the five capitals. The results showed the following: first, the components of land use types in the five capitals have different structural characteristics, which are mainly grassland, unused land, and cultivated land. The landscape types that changed significantly were water and unused land, while the construction land area showed a trend of continuous increase. Second, different capitals have different land-use transfer patterns. Akmola State is mainly converted from cultivated land to grassland; Chuy State is mainly converted from forest land to grassland; Dushanbe and Tashkent City are mainly converted from grassland to forestland; and Ahal State is mainly converted from grassland to unused land. Third, the overall landscape ecological risks of the five capitals were low. Akmola State had the largest proportion of lowest ecological risk areas, whereas Chuy State and Dushanbe City had an increasing trend of highest ecological risk areas. The level of ecological risk in Tashkent remained stable during the study period, and the highest ecological risk areas in Ahal State decreased to 49,227.86 km2. This study has enriched the research results of land use change and landscape ecological risk assessment of countries within the BRI and can provide a research reference for these countries and regions to achieve ecological sustainable development and strengthen ecosystem management.
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Chen X, Yang Z, Wang T, Han F. Landscape Ecological Risk and Ecological Security Pattern Construction in World Natural Heritage Sites: A Case Study of Bayinbuluke, Xinjiang, China. IJGI 2022; 11:328. [DOI: 10.3390/ijgi11060328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The evaluation of ecological risk and the construction of ecological security patterns are significant for the conservation of World Natural Heritage sites with high outstanding universal value. This paper constructed a landscape ecological risk evaluation framework for Bayinbuluke using the three aspects of the “nature–society–landscape pattern” and a cumulative resistance surface from the risk evaluation results. The ecological sources were identified based on Morphological Spatial Pattern Analysis (MSPA) and the landscape index. Finally, the Minimum Cumulative Resistance model (MCR) and gravity model were used to obtain both key ecological corridors and general ecological corridors. The results showed that: (1) the influencing factors of landscape ecological risk were, in order of strongest to weakest, landscape pattern factors, natural factors, and social factors; (2) the spatial differences in terms of landscape ecological risk within the study area could be identified. Low-risk areas were mainly concentrated in the core area, high-risk areas were mainly in the outer buffer zone, and the overall ecological risk level at Bayinbuluke was high; and (3) a total of four key corridors and ten general corridors could be constructed. This study provides a reference for decision-making on the ecological security and protection of heritage sites.
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Ying Y, Jiang K, Ren M, Chen G. Research on Town Ecological Landscape Planning and Governance Based on Fuzzy Optimization Method of Internet of Things Technology. Computational Intelligence and Neuroscience 2022; 2022:1-9. [PMID: 35720916 PMCID: PMC9201730 DOI: 10.1155/2022/5159448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/12/2022] [Accepted: 04/21/2022] [Indexed: 11/17/2022]
Abstract
The current town ecological landscape planning and governance methods are mainly based on the high quality, high energy-saving, and environmental protection effect of the town ecological landscape. How to innovate the town ecological landscape planning and governance process with the help of Internet of things technology and fuzzy optimization method is the current development trend. Based on this, this paper studies the application of Internet of things technology in town ecological landscape planning and management. Firstly, a small town ecological landscape evaluation model based on fuzzy optimization algorithm is proposed. Combined with multivariate matrix transformation function, the authenticity data of ecological landscape are simulated. The original analysis of different types of small town ecological landscape is realized by selecting the multivariate extremum of autocorrelation function curve in the process of planning and governance. Secondly, in the simulation evaluation link, the fuzzy evaluation method is adopted and improved. At the same time, the improved three-dimensional original planning governance model is used to comprehensively analyze the simulation results of three-dimensional landscape planning governance. Finally, by designing fuzzy simulation experiments, the application effects of different Internet of things technologies in town ecological landscape planning and governance are analyzed. The experimental results show that the correlation data indicators of fuzzy optimization methods corresponding to different Internet of things technologies are very different. The application effect of different types of Internet of things technology in ecological landscape planning and governance of small towns is targeted and shows strong regularity.
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Ahmed PM, Nieto-Peñalver CG, de Figueroa LIC, Pajot HF. Vinasse odyssey: sugarcane vinasse remediation and laccase production by Trametes sp. immobilized in polyurethane foam. Biodegradation 2022. [PMID: 35524898 DOI: 10.1007/s10532-022-09985-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 04/13/2022] [Indexed: 11/02/2022]
Abstract
Vinasse is a high pollutant liquid residue from bioethanol production. Due to its toxicity, most vinasse is used not disposed of in water bodies but employed for the fertigation of sugarcane crops, potentially leading to soil salinization or heavy metal deposition. The anaerobic digestion of vinasse for energy production is the main alternative to fertigation, but the process cannot eliminate colored compounds such as melanoidins, caramels, or phenolic compounds. The treatment of raw vinasse with white-rot fungi could remove colored and persistent toxic compounds, but is generally considered cost-ineffective. We report the treatment of vinasse by an autochthonous Trametes sp. strain immobilized in polyurethane foam and the concomitant production of high titers of laccase, a high value-added product that could improve the viability of the process. The reuse of the immobilized biomass and the discoloration of raw vinasse, the concentration of phenolic compounds, BOD and COD, and the phytotoxicity of the treated vinasse were measured to assess the viability of the process and the potential use of treated vinasse in fertigation or as a complementary treatment to anaerobic digestion. Under optimal conditions (vinasse 0.25X, 30 °C, 21 days incubation, 2% glucose added in the implantation stage), immobilized Trametes sp. causes a decrease of 75% in vinasse color and total phenolic compounds, reaching 1082 U L-1 of laccase. The fungi could be used to treat 0.50X vinasse (BOD 44,400 mg O2 L-1), causing a 26% decolorization and a 30% removal of phenolic compounds after 21 days of treatment with maximum laccase titers of 112 U L-1, while reducing COD and BOD from 103,290 to 42,500 mg O2 L-1 (59%) and from 44,440 to 21,230 mg O2 L-1 (52%), respectively. The re-utilization of immobilized biomass to treat 0.50X vinasse proved to be successful, leading to the production of 361 U L-1 of laccase with 77% decolorization, 61% degradation of phenolic compounds, and the reduction of COD and BOD by 75% and 80%, respectively. Trametes sp. also reduced vinasse phytotoxicity to Lactuca sativa seedlings. The obtained results show that the aerobic treatment of vinasse by immobilized Trametes sp. is an interesting technology that could be employed as a sole treatment for the bioremediation of vinasse, with the concomitant the production of laccase. Alternatively, the methodology could be used in combination with anaerobic digestion to achieve greater decolorization and reduction of phenolic compounds, melanoidins, and organic load.
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Zhang J, Cao Y, Ding F, Wu J, Chang I. Regional Ecological Security Pattern Construction Based on Ecological Barriers: A Case Study of the Bohai Bay Terrestrial Ecosystem. Sustainability 2022; 14:5384. [DOI: 10.3390/su14095384] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The construction of ecological barriers and ecological security patterns is an important way of maintaining regional ecological security in landscape ecology. However, there is still no consensus on the concept and connotation of ecological barriers, and the zoning and adaptive management of ecological sources are rarely considered in the construction of ecological security patterns. This study uses the terrestrial ecosystem of Bohai Bay, China as a study area, and the identification and zoning of ecological sources in the ecological security pattern are achieved by combining an ecosystem service assessment with an ecological risk assessment, and on this basis, ecological barriers are identified to optimize the structure and function of ecological sources. The minimum cumulative resistance model is used to identify ecological corridors and ecological strategic nodes and to construct an ecological security pattern based on the modified ecological sources. The results demonstrate that firstly, 2873.25 km2 was identified as the ecological source, accounting for 14.28% of the total. Secondly, there are three large ecological barrier zones and nine ecological barrier cells with a total area of 1173.06 km2, accounting for 40.83% of the ecological sources. Thirdly, a total of 35 ecological corridors were extracted, and 32 ecological strategic nodes were marked, mainly distributed at the intersection and branches of important ecological corridors. An ecological security pattern construction system was formed with the collection of ecological source selection, ecological barrier identification, ecological resistance surface construction, and ecological corridor extraction. Fourthly, the concept and connotation of ecological barriers was analyzed, and the complementary relationship between ecological barriers and ecological security patterns in terms of structure and function is discussed. This study enriches the definition and connotation of ecological barriers, provides a new framework for identifying the ecological security patterns, and provides scientific guidance for ecological protection and management in coastal areas.
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Wang T, Chen X, Zheng X, Lu Y, Han F, Yang Z. Identification of Priority Conservation Areas for Natural Heritage Sites Integrating Landscape Ecological Risks and Ecosystem Services: A Case Study in the Bogda, China. Int J Environ Res Public Health 2022; 19:2044. [PMID: 35206233 DOI: 10.3390/ijerph19042044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/07/2022] [Accepted: 02/08/2022] [Indexed: 12/10/2022]
Abstract
The conservation of World Natural Heritage Sites has become a global concern. The identification of priority conservation areas can preserve the value of heritage sites while promoting sustainable development, which is important for balancing the conservation and development of heritage sites. This paper proposes an integrated framework for the identification of priority conservation areas for natural heritage sites based on landscape ecological risks (LERs) and ecosystem services (ESs), taking the Bogda heritage site in Xinjiang, China as a case study. The innovative approach combined the natural and cultural elements of natural heritage sites and included the following steps: (1) the LER index, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and questionnaire method were adopted to assess the LERs and ESs of Bogda heritage sites during 1990–2018; (2) ordered weighted averaging (OWA) was used to identify conservation priorities by weighing LERs and ESs; and (3) the optimal priority conservation area was determined by comparing the conservation efficiencies under different scenarios. The results revealed that the LER, carbon storage (CS), habitat quality (HQ), aesthetic value (AV), and recreational value (RV) showed significant spatiotemporal variation. The most suitable priority conservation area was located at the central forestlands and high-coverage grasslands, with conservation efficiencies of 1.16, 2.91, 1.96, 1.03, and 1.21 for LER, CS, HQ, AV, and RV, respectively. Our study demonstrated that integrating LERs and ESs is a comprehensive and effective approach to identifying conservation priorities for heritage sites. The results can provide decision support for the conservation of the Bogda heritage site and a methodological reference for identifying conservation priorities for natural heritage sites. Furthermore, this study is also an effective application of LERs and ESs in identifying priority conservation areas.
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Tan Y, Chen H, Xiao W, Meng F, He T. Influence of farmland marginalization in mountainous and hilly areas on land use changes at the county level. Sci Total Environ 2021; 794:149576. [PMID: 34426016 DOI: 10.1016/j.scitotenv.2021.149576] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 07/26/2021] [Accepted: 08/07/2021] [Indexed: 06/13/2023]
Abstract
Agricultural works alter earth's surface at the largest scale among human-driven activities. Previous studies have focused more on the reclamation of natural land, however, farmland marginalization (FM), emerging as an important mean of land use changes in mountainous and hilly areas (MHAs) has always been overlooked in the background of production efficiency improvement along with urbanization and population migration. This paper examined the characteristics of the spatial-temporal distribution and conversion of marginalized farmland in the MHAs of China at county level (excluding Hong Kong, Macau, and Taiwan) from 1990 to 2020, regarding farmland in MHAs converted into non-built-up land as FM. The results showed that: (1) The total area of marginalized farmland in the MHAs was 1.03 × 106 km2. The counties with larger area of marginalized farmland were concentrated around the Hu Line, and those with higher ratio were distributed in southern mountainous areas. (2) The area of marginalized farmland in each stage exhibited a fluctuating trend from 1990 to 2020. Forests and grasslands were prioritized as the desirable types in land conversion, and had prominent spatial agglomeration. (3) The influence of FM in MHAs on land use changes at county level demonstrated significant spatial-temporal heterogeneity, with wide range and low intensity from 1990 to 2000 and 2015 to 2020, and narrow range and high intensity from 2000 to 2015, and the counties with high intensity were distributed in the Loess Plateau and Sichuan-Chongqing hilly region. (4) The slope of marginalized farmland exhibited a prominent rule of spatial distribution, but an insignificant temporal trend under the influence of governmental policies. The larger the slope was, the higher the degree of marginalization was, but not necessarily earlier it occurred. The results can provide a reference for the formulation and implementation of farmland protection policies.
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Affiliation(s)
- Yongzhong Tan
- Department of Land Management, School of Public Affairs, Zhejiang University, Hangzhou 310058, PR China
| | - Hang Chen
- Department of Land Management, School of Public Affairs, Zhejiang University, Hangzhou 310058, PR China
| | - Wu Xiao
- Department of Land Management, School of Public Affairs, Zhejiang University, Hangzhou 310058, PR China.
| | - Fei Meng
- Department of Land Management, School of Public Affairs, Zhejiang University, Hangzhou 310058, PR China
| | - Tingting He
- Department of Land Management, School of Public Affairs, Zhejiang University, Hangzhou 310058, PR China
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Qu Y, Zong H, Su D, Ping Z, Guan M. Land Use Change and Its Impact on Landscape Ecological Risk in Typical Areas of the Yellow River Basin in China. Int J Environ Res Public Health 2021; 18:11301. [PMID: 34769818 DOI: 10.3390/ijerph182111301] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 10/26/2021] [Accepted: 10/26/2021] [Indexed: 11/17/2022]
Abstract
The basic premise of regional ecological construction would be to scientifically and effectively grasp the characteristics of land use change and its impact on landscape ecological risk. The research objects of this paper are the typical areas of the Yellow River Basin in China and "process-change-drive" as the logical main line. Moreover, this paper is based on multi-period land use remote sensing data from 2000 to 2020, the regional land use change process and influencing factors are identified, the temporal and spatial evolution and response process of landscape ecological risk are discussed, and the land use zoning control strategy to reduce ecological risk is put forward. The results indicated: (1) The scale and structure of land use show the characteristics of "many-to-one" and "one-to-many"; (2) the process of land use change is affected by the alternation of multiple factors. The natural environment and socio-economic factors dominate in the early stage and the location and policy factors have a significant impact in the later stage; (3) the overall landscape ecological risk level and conversion rate show a trend of "high in the southeast, low in the northwest", shift from low to high and landscape ecological risks gradually increase; and (4) in order to improve the regional ecological safety and according to the characteristics of landscape ecological risk and spatial heterogeneity, we should adopt the management and control zoning method and set different levels of control intensity (from key intensity to strict intensity to general intensity), and develop differentiated land use control strategies.
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Liu X, Wang Y, Li M. How to Identify Future Priority Areas for Urban Development: An Approach of Urban Construction Land Suitability in Ecological Sensitive Areas. Int J Environ Res Public Health 2021; 18:ijerph18084252. [PMID: 33923794 PMCID: PMC8073476 DOI: 10.3390/ijerph18084252] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/25/2021] [Accepted: 04/13/2021] [Indexed: 11/18/2022]
Abstract
The suitability of urban construction land (SUCL) is key to the appropriate utilization of land resources and represents an important foundation for regional exploration and land management. This study explores the SUCL conceptual framework by considering the theory of human-land relationships. The upper reaches of the Yangtze River were studied, a typical ecologically-sensitive area of China. The spatial pattern and control of the SUCL were determined using the improved entropy method. The results show that an area of 91 × 104 km2 was categorized as prohibited or restricted, and these categories account for 28.61% and 50.66% of the total area, respectively. Priority areas and suitable areas are mainly located in the Chengdu Plain, the urban agglomeration of southern Sichuan Province, Chongqing, and the economic corridor in the west, and the surrounding cities of Guiyang and Kunming. SUCL hotspots feature obvious spatial heterogeneity and are concentrated in Sichuan Basin and Guizhou Plateau. The SUCL is obviously constrained by the physical geography of this region. In addition, towns affected by the pole–axis effect have stronger suitability for development and construction. These findings will be very useful for land managers as they provide relevant information about urban development in mountainous areas.
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Affiliation(s)
- Xiaobo Liu
- Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; (X.L.); (M.L.)
- University of Chinese Academy of Sciences, Beijing 100049, China
- College of Geography and Resources Science, Neijiang Normal University, Neijiang 641100, China
| | - Yukuan Wang
- Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; (X.L.); (M.L.)
- Correspondence:
| | - Ming Li
- Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; (X.L.); (M.L.)
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