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Tian N, Lan H, Li L, Peng J, Fu B, Clague JJ. Human activities are intensifying the spatial variation of landslides in the Yellow River Basin. Sci Bull (Beijing) 2024:S2095-9273(24)00483-3. [PMID: 39068041 DOI: 10.1016/j.scib.2024.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 07/30/2024]
Abstract
Human activities are a triggering factor for landslides in the Yellow River Basin (YRB, China). However, the extent to which the spatial distribution of landslides is affected by human activities is unclear. We constructed a human activity intensity index (HAII) based on nighttime light data and land cover data. Regression and dominance analyses were used to compare the effects of the HAII, precipitation, distance to river, distance to fault, topographic relief and slope on the landslides spatial density (LSD). The results showed that in the YRB, the HAII, as a dominance influencing factor, had a significant positive influence on the LSD. Moreover, regional differences in the human disturbance of nature intensify the spatial variation of LSD. To quantify the intensity of human disturbance to nature, a human-nature conflict index (HNCI) is constructed by quantifying the difference between the slope distributions of artificial and natural landscapes. The results show that in the middle section of the YRB, humans are developing more steep mountainous areas, leading to more dense landslides. This study provides a reference for landslide risk management and land use planning in the YRB.
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Affiliation(s)
- Naiman Tian
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hengxing Lan
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China; Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi'an 710054, China.
| | - Langping Li
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianbing Peng
- College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China; Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi'an 710054, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
| | - John J Clague
- Department of Earth Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
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Han J, Bryan BA, Zhang Y. Strategic cropland reserves can strengthen China's food security. NATURE FOOD 2024; 5:535-538. [PMID: 38987392 DOI: 10.1038/s43016-024-01015-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/12/2024]
Affiliation(s)
- Jichang Han
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.
- Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, China.
- School of Land Engineering, Chang'an University, Xi'an, China.
| | - Brett Anthony Bryan
- School of Life and Environmental Sciences, Deakin University, Melbourne, Victoria, Australia
| | - Yang Zhang
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China
- Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, China
- School of Land Engineering, Chang'an University, Xi'an, China
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3
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Zhang T, Zhang F, Li J, Xie Z, Chang Y. Unraveling patterns, causes, and nature-based remediation strategy for non-grain production on farmland in hilly regions. ENVIRONMENTAL RESEARCH 2024; 252:118982. [PMID: 38697598 DOI: 10.1016/j.envres.2024.118982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/15/2024] [Accepted: 04/20/2024] [Indexed: 05/05/2024]
Abstract
The surge in non-grain production on farmland (NGPF) poses significant threats to food security and land sustainability, particularly in hilly regions. However, there remains a lack of clarity on how to effectively balance grain and non-grain production in relation to land remediation. Using Wannian County as a case study, we investigate the evolution of this by leveraging high-precision land surveys and satellite imagery. Through the application of bootstrapped partial linear regression models, we identify key influencers behind each type of NGPF. In proposing land remediation solutions, we integrate the results of NGPF and land quality evaluations to identify mismatches between non-grain production and land attributes (i.e., topography, geology, soil, and land use). Our findings reveal a substantial growth in NGPF, expanding from 3838.72 ha to 5659.64 ha (2010-2020), and predominantly occurring on farmland with favorable natural conditions and connected locations such as proximity to roads, town centers, and industrial plants. Surprisingly, the basic farmland protection policy shows limited effectiveness in curbing NGPF, except for garden operations. We identify 1674 NGPF patches suitable for conversion to grain production and provide land remediation suggestions tailored to low-quality farmland with specific natural barriers, thus complementing the demand for regional non-grain production. This study thereby innovatively proposes nature-based land remediation strategies to address the non-grain production dilemma by tailoring NGPF and land quality, offering valuable insights for sustainable farmland management in China and beyond.
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Affiliation(s)
- Tianzhu Zhang
- Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, 100125, China
| | - Fengrong Zhang
- College of Land Science and Technology, China Agricultural University, Beijing, 100193, China; Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources, Beijing, 100193, China
| | - Jian Li
- Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, 100125, China
| | - Zhen Xie
- School of Public Administration & Law, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Yuyang Chang
- Ecosystem Management, Department of Environmental Systems Science, ETH Zürich, 8092, Zürich, Switzerland.
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Wang H, Zhang D, Zhang X, Gao C, Wang Z, Wu J. Does settlement land expansion necessarily induce the decrease of cultivated land? Differences in national scale and local counties of China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 358:120948. [PMID: 38663081 DOI: 10.1016/j.jenvman.2024.120948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 03/23/2024] [Accepted: 04/17/2024] [Indexed: 05/04/2024]
Abstract
With the extensive industrialization and urbanization taking place in China during the recent decades, land use throughout the country has experienced profound changes influenced not only by the demand for population growth and living standard improvement but also by the constraints of series of land use policies. However, whether the conflict between the expansion of settlement land (SL) and the loss of cultivated land (CL) have been resolved at the national scale or transferred between the local regions remains unclear. Based on yearly ESA CCI land use and land cover products from 1992 to 2020, the long-term trends of quantity and spatial pattern of SL expansion and CL change in China from national and local views were investigated using trend statistic methods, and finally a comprehensive zoning framework was proposed to recognize the trade-off and synergies relationships between SL expansion and CL change. There are a continuous expansion of SL with global linear trends showing three breakpoints in 2000, 2005, and 2012, and a fluctuation decline of CL presented with four breakpoints in 1997, 2002, 2006, and 2013. Aggregation and dispersion tendencies with linear characteristics of SL expansion and CL change were found with breakpoints in 2001, 2008, 2012, and 2016 and breakpoints in 2001 and 2010, respectively. A spotty spatial pattern of SL was shown spatially coincident with urban agglomerations in China while the planar continuous characteristic was found for CL. Local counties were classified into five tradeoff and synergies zones (TSZs), where general synergies (G-S) and decoupling (D) of SL expansion and CL change were rare cases and the different change in quantity and trend of SL expansion and CL change in local counties was concealed by the national trend. A few scattered counties were belonging to G-S and D TSZs, while most of the counties in the central-east and western China were in General-Tradeoff (G-T) and Superior-Tradeoff (S-T) TSZs. Counties in south and north China with higher percentages of CL were more prevalent in Superior-Synergy (S-S) TSZ. Our findings explicated the complex relationships between SL expansion and CL change of China at the national scale and in local counties, which pointed out the differences of unified land use management activities across scales and could provide insights for future policy-making and management measures of land use to both ensure the national food security and promote regional sustainable development more synchronously.
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Affiliation(s)
- Han Wang
- Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen, 518055, China; Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
| | - Danni Zhang
- Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen, 518055, China; Shenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration, Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
| | - Xiwen Zhang
- School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou, 510062, China.
| | - Chang Gao
- Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen, 518055, China.
| | - Zhenyu Wang
- School of Land Science and Technology, China University of Geosciences, Beijing, 100083, China.
| | - Jiansheng Wu
- Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen, 518055, China; Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
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Wang J, Guan Y, Wang H, Zhou W. Identifying and monitoring of abandoned farmland in key agricultural production areas on the Qinghai‒Tibet Plateau: A case study of the Huangshui Basin. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 354:120380. [PMID: 38401505 DOI: 10.1016/j.jenvman.2024.120380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 02/26/2024]
Abstract
Curbing the continuous abandonment of large areas of farmland is important for meeting the global food demand and promoting agricultural and rural development. Accurate identification is the key to the effective management and utilization of abandoned farmland. The identification of abandoned land based on a long time series of remote sensing data has become rapid and effective. Therefore, a set of training and test datasets generated from invariant samples and reference sample sets is established in this paper. On this basis, the Google Earth Engine (GEE) is used to classify Landsat and Sentinel high-precision long-term remote sensing images from 2000 to 2022. In addition, a change detector based on the sliding window algorithm is proposed to extract abandoned farmland in the Huangshui Basin from 2002 to 2020, and the intensity, trend, frequency, reclamation rate and utilization efficiency are analyzed. The results revealed that the OA of land use classification in the Huangshui Basin from 2000 to 2022 was between 0.852 and 0.91, and the kappa coefficient was between 0.822 and 0.89, indicating a good classification effect. From 2002 to 2020, the accumulated abandoned farmland area in the Huangshui Basin continued to increase, showing a fluctuating upward trend, and the phenomenon of farmland abandonment and reclamation occurs repeatedly in some areas. From the overall distribution, the abandoned area gradually increased from the central region to the southeast. With the passage of time, the amount of abandoned farmland in the valley increased gradually, and the abandoned area was transferred from the high mountains to the valley area. The average annual abandonment rate of supplementary farmland was 50.45%, which was much greater than that of basic farmland. Most of the supplementary farmland could not be effectively and judiciously used, and the utilization efficiency was low. The research results provide data support for the reuse of abandoned farmland in ecologically fragile plateau areas, the formulation of targeted strategies, the implementation of timely adjustments, and the establishment of new ideas and methods for the accurate identification of abandoned farmland.
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Affiliation(s)
- Juan Wang
- School of Land Science and Technology, China University of Geosciences Beijing, Beijing, 100083, China
| | - Yanjun Guan
- School of Public Administration, Zhejiang University of Finance & Economics, Hangzhou, 310018, China
| | - Hongyu 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.
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Lu D, Wang Z, Li X, Zhou Y. Evaluation of the efficiency and drivers of complemented cropland in Southwest China over the past 30 years from the perspective of cropland abandonment. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 351:119909. [PMID: 38154224 DOI: 10.1016/j.jenvman.2023.119909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 11/27/2023] [Accepted: 12/11/2023] [Indexed: 12/30/2023]
Abstract
Complemented croplands are a crucial component of cropland resources and play a significant role in ensuring national food security. In recent decades, to counter the loss of prime farmland caused by urban construction, the Chinese government introduced a requisition-compensation balance policy, leading to the substantial expansion of new croplands. Therefore, there is an urgent need to determine whether these complemented croplands can be effectively used. Taking Southwest China as a case study, we used high-precision long-term land-use data from 1990 to 2020 to reveal the dynamics of complemented cropland utilization, evaluate the efficiency of complemented cropland utilization from the perspective of abandoned farmland, and identify the factors driving complemented cropland use efficiency based on more than 13 million land parcels. The results showed that: (1) From 1990 to 2020, complemented cropland amounted to approximately 1170.07 × 104 hm2, accounting for 32.67% of the total arable land area in 1990. The potential grain production capacity of these complemented croplands was significantly lower than that of base croplands. (2) The abandonment of complemented croplands was more serious than that of base croplands, and 47.03% of the complemented croplands experienced abandonment at least once during the study period, and the average efficiency of the complemented croplands was 75.61%. (3) The labor population ratio, elevation, and land parcel size played pivotal roles in influencing the complemented cropland utilization efficiency; however, there was substantial variation among the different provinces. Labor replacement, overcoming farming difficulties brought by mountainous terrain, and improving farmers' income are the keys to alleviating cropland abandonment in mountainous areas and improving cropland utilization efficiency. This study provides novel insights into the efficiency assessment and exploration of the mechanisms driving complemented croplands and can provide references for cropland management.
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Affiliation(s)
- Dan Lu
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China
| | - Zhanpeng Wang
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.
| | - Xinxin Li
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China
| | - Yajuan Zhou
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China
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7
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Yang R, Xiao W, Ye Y, Wang K, Dong X, Chen S. One-third of cropland within protected areas could be retired in China for inferior sustainability and effects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167084. [PMID: 37734603 DOI: 10.1016/j.scitotenv.2023.167084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 08/26/2023] [Accepted: 09/13/2023] [Indexed: 09/23/2023]
Abstract
Cropland encroachment on protected areas causes natural habitat loss, which may damage ecosystem functions and biodiversity conservation, leading to trade-offs between crop production and habitat conservation. Here we investigate the sustainable utilization and effects of cropland within protected areas, on which we make trade-offs with an established framework. Analyses show that 3.08 million hectares of cropland are identified within protected areas, about two-thirds less sustainable or less beneficial. 41 % and 26 % are expected to be retired for inferior sustainability and effects under the strictest and laxest habitat protection scenario, respectively. Although these retirements would cause a loss of crop benefits of 0.3-0.7 billion US dollars, they could bring ecological benefits of 2.9-3.6 billion US dollars annually. Approximately 11 % of cropland within protected areas is identified in poor agricultural conditions, and 19 % occupies areas of high protection importance, both of which are recommended for priority retirement. This study reveals the characteristics and impacts of cropland in protected areas and provides a quantified trade-off approach for conflicts between cropland and natural habitats, with important implications for production, conservation, and their trade-offs.
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Affiliation(s)
- Runjia Yang
- School of Public Affairs, Zhejiang University, Hangzhou, China.
| | - Wu Xiao
- School of Public Affairs, Zhejiang University, Hangzhou, China; Policy Simulation Laboratory, Zhejiang University, Hangzhou, China; Land Academy for National Development, Zhejiang University, Hangzhou, China.
| | - Yanmei Ye
- School of Public Affairs, Zhejiang University, Hangzhou, China; Land Academy for National Development, Zhejiang University, Hangzhou, China.
| | - Kechao Wang
- School of Public Affairs, Zhejiang University, Hangzhou, China.
| | - Xinyu Dong
- School of Public Affairs, Zhejiang University, Hangzhou, China.
| | - Sha Chen
- School of Public Affairs, Zhejiang University of Finance and Economics, Hangzhou, China.
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Dong X, Ju T. New farmlands threaten the North China leopard. Science 2023; 380:1230. [PMID: 37347853 DOI: 10.1126/science.adi7209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2023]
Affiliation(s)
- Xianghong Dong
- College of Animal Science, Guizhou University, Guiyang 550025, China
| | - Tao Ju
- Guangxi Academy of Sciences, Nanning 530007, China
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Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region. LAND 2022. [DOI: 10.3390/land11070976] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Due to limited land resources, it is necessary to balance urban economic development and efficient land use. Clarifying the relationship between the two is crucial to improving both economic efficiency and land use efficiency. Considering the undesirable output of urban land use, this paper adopts a super efficiency SBM model to quantify the urban land use efficiency (ULUE) of the Beijing–Tianjin–Hebei (BTH) region from 1999 to 2019, and analyzes the relationship between ULUE and economic development level (EDL) by combining the Tapio model and the environmental Kuznets curve (EKC) model. The results show the following: (1) During the study period, the ULUE showed a fluctuating upward trend on the temporal scale, with the lowest and highest inflection points occurring in 2002 and 2018, respectively, and a distribution pattern of “high in the southeast and low in the northwest” on the spatial scale. (2) The decoupling relationship between ULUE and EDL showed repeated fluctuations between decoupling and coupling states on the temporal scale, but the overall showed a transition trend from decoupling state to coupling state. On the spatial scale, from north to south, there were a strong decoupling state (SDS), weak decoupling state (WDS), strong decoupling state (SDS), and weak decoupling state (WDS) in order, showing a regular interval repetition distribution pattern. (3) The relationship between ULUE and EDL showed an EKC “U-shaped” curve, that is, ULUE decreases first and then increases with the increases in EDL. The results of this study can provide a reference for the coordinated and sustainable development of the BTH region.
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