Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 466, P. 142796 - 142796
Published: June 4, 2024
Language: Английский
Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 466, P. 142796 - 142796
Published: June 4, 2024
Language: Английский
Ecological Indicators, Journal Year: 2022, Volume and Issue: 137, P. 108771 - 108771
Published: March 14, 2022
Since the construction of 21st Century Maritime Silk Road, islands in China have undergone more rapid urbanization, commercialization, and tourism. The interactions between natural anthropogenic processes, however, severely disturbed island ecosystems. Therefore, it is crucial to understand these identify key areas for ecosystem protection restoration by assessing spatiotemporal patterns landscape ecological risk. In this study, we investigated optimal spatial scale needed analyze changes risk on Haitan Island from 2000 2020. index varied with change size, grid size based semivariogram analysis were 75 m 500 × m, respectively. land use significantly changed owing urban development Island, large amounts cropland forest being replaced impervious land. overall threat level has decreased, lowest-risk gradually become dominant type region. However, fragmentation degree water loss increasing, offshore cannot be ignored. clustering characteristics each period significant, hotspots distribution mainly coastal areas. impacts human activities regional ecosystems are increasing intensity, population density distance centers main drivers. This study provides a theoretical reference selecting an assessment landscapes can used as regulation environmental impact assessments.
Language: Английский
Citations
127The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 866, P. 161465 - 161465
Published: Jan. 7, 2023
Language: Английский
Citations
63Cities, Journal Year: 2023, Volume and Issue: 137, P. 104314 - 104314
Published: March 30, 2023
Language: Английский
Citations
56Land, Journal Year: 2025, Volume and Issue: 14(1), P. 111 - 111
Published: Jan. 8, 2025
In recent years, rapid economic development, increasing human activities, and global climate change have led to escalating demands for land across production, residential, ecological domains. This surge has heightened use conflicts, significantly impacting sustainable utilization regional development. Drawing upon the “Production–Ecological–Living Space” (PELS) theory, this study employs a Patch-generating Land Use Simulation (PLUS) model project PELS of Harbin–Changchun Urban Agglomeration (HCUA) under four scenarios 2030. Introducing concepts absolute relative conflicts in use, utilizes spatial comprehensive conflict index (SCCI) assess progression from 2000 2020 various 2030, while remote sensing (RSEI) is utilized evaluate evolution 2020. The results indicate following: (1) From different HCUA dominated by forest space (E1) agricultural production (P1), with no substantial alterations overall distribution PELS. (2) Absolute between are mainly concentrated plains western regions, characterized arising encroachment living on space; however, declined annually, accompanied notable enhancement quality. (3) pattern 2030 exhibits minimal variation, illustrating higher values regions compared eastern parts, surpassing showing than mountains. Notably, development (ED) scenario most intense areas high prevailing, whereas goals (SDGs) depicts enhancements maintaining equilibrium requirements. research offers valuable insights into mitigating HCUA, provides new perspective studying changes serves as scientific reference
Language: Английский
Citations
3Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 327, P. 116921 - 116921
Published: Dec. 1, 2022
Language: Английский
Citations
67Ecological Indicators, Journal Year: 2022, Volume and Issue: 137, P. 108743 - 108743
Published: March 5, 2022
Under the influence of local planning and policy implementation, transformation regional land-use types leads to an increasing strain on limited land resources frequent conflicts between various types. However, so far, only a few studies have combined these two in in-depth analysis. In this study, CLUMondo model was adopted Enshi Prefecture, typical city central mountain region China, predict use pattern under scenarios natural development (NGS), economic (EDS), ecological security (ESS) 2025 according different priority policies. Furthermore, indicator landscape risk effects constructed identify (LUCs) multiple scenarios, revealing their spatial distribution, level conflict, change characteristics. The results study indicate that led by three policies, accelerated growth outward expansion built-up area will occupy large amount grassland cultivated land. goal synergistic environmental protection is achieved ESS. classified LUCs Prefecture into four levels. performance changes overall order from bad good as follows: NGS > EDS Therefore, it necessary set up differentiated policies governance measures based development's current situation vision balance needs. simulation method used can effectively reflect actual status potential risks ecologically fragile mountainous areas provide theoretical basis technical support for optimal management future formulation Prefecture.
Language: Английский
Citations
47Ecological Indicators, Journal Year: 2022, Volume and Issue: 144, P. 109411 - 109411
Published: Sept. 18, 2022
China is accelerating green and low-carbon transformations of cultivated land to achieve a carbon peak by 2030 actively respond global climate change. Evaluating the use efficiency (CLUE) determining its driving factors help reduce land-use emissions promote land. However, previous emission-based studies CLUE have been insufficient. Therefore, in this study, we explored spatiotemporal characteristics Yellow River Basin (YRB), China, based on emissions. A slacks-based model with undesirable (bad) outputs, spatial autocorrelation models, geographic detector models was used for analysis, statistical data from 2005 2017 as inputs. The overall values YRB increased subsequently decreased time. Huang-Huai-Hai Plain (HHHP) consistently had highest values, followed northern arid semi-arid regions (NASR), Loess Plateau (LP), Qinghai-Tibet (QTP). According autocorrelation, positive association themselves. major cluster types moved high–high low–low eastern Henan southern Shanxi provinces, according local autocorrelation. Per capita grain possession main driver YRB, HHHP, LP, NASR, road network density key QTP, Geodetector analysis. Furthermore, non-linear enhancement dominates dominating bi-factor QTP. findings study can be assist policymakers formulating feasible, green, efficient policies.
Language: Английский
Citations
46Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110807 - 110807
Published: Aug. 18, 2023
Xinjiang is located in the northwest of China, with a vast territory and abundant resources, which holds an important strategic position for China. However, climate region arid ecological environment fragile. In recent years, growth population improvement economic development level, construction agricultural land have gradually expanded, has been extensively occupied. The competition between resources becoming increasingly fierce, leading to some environmental problems region. this context, understanding spatiotemporal changes driving factors Xinjiang's production space, living space (PLES) great practical significance promoting sustainable region, can also provide reference research PLES other areas at home abroad. At present, most on focused small-scale such as urban agglomerations, rural areas, watersheds, or non relatively superior natural conditions, less large-scale areas. study, transfer matrix, center gravity movement trajectory, Moran's I spatial conflict measurement model were used illustrate spatial–temporal evolution Xinjiang, correlation coefficient was determine main affecting change PLES. Results show that (1) dominated by accounts more than 90% total area significant continuity. They are mainly distributed Tarim, Turpan, northern Junggar Basin. about 5% vicinity Tianshan Kunlun Mountains. Living 1% scattered around cities. (2) From 2000 2020, degree last decade higher first decade, transformation from space. three types spaces influence restrict each process. (3) Population, crop sown area, policy level science technology distribution production. Environmental altitude, soil erosion temperature output value various industries retail sales consumer goods residential result multiple factors. (4) medium dominates, Tarim Basin weak strong conflicts concentrated oases north Mountains, number small. increasing due desertification.
Language: Английский
Citations
39Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 349, P. 119311 - 119311
Published: Oct. 27, 2023
Language: Английский
Citations
30Applied Geography, Journal Year: 2023, Volume and Issue: 155, P. 102972 - 102972
Published: April 25, 2023
Language: Английский
Citations
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