Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Sustainability, Год журнала: 2024, Номер 16(14), С. 6237 - 6237
Опубликована: Июль 22, 2024
Changes in land use patterns, types, and intensities significantly impact ecosystem services. This study follows the time series logic from history to expected future investigate spatial temporal characteristics of changes Ezhou their potential impacts on services value (ESV). The results show that Markov–FLUS model has strong applicability predicting pattern use, with a Kappa coefficient 0.9433 FoM 0.1080. Between 2000 2020, construction expanded continuously, while water area remained relatively stable, other types experienced varying degrees contraction. Notably, compared 2000, it by 70.99% 2020. Moreover, watershed 9.30% 2010, but there was very little change following 10 years. Under three scenarios, significant differences were observed City, driven human activities, particularly expansion land. In inertial development scenario, 313.39 km2 2030, representing 38.30% increase Conversely, under farmland protection increased 237.66 km2, 4.89% rise However, ecological priority 253.59 10.13% Compared ESV losses inertia scenarios USD 4497.71 1072.23, respectively, 2030. scenario 2749.09, emphasizing importance prioritizing City’s development. may provide new clues for formulation regional strategies sustainable restoration.
Язык: Английский
Процитировано
45Environmental Impact Assessment Review, Год журнала: 2024, Номер 106, С. 107533 - 107533
Опубликована: Май 1, 2024
Язык: Английский
Процитировано
23Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124375 - 124375
Опубликована: Фев. 10, 2025
Язык: Английский
Процитировано
4Journal of Environmental Management, Год журнала: 2024, Номер 367, С. 122076 - 122076
Опубликована: Авг. 7, 2024
Язык: Английский
Процитировано
15Sustainable Cities and Society, Год журнала: 2024, Номер 102, С. 105229 - 105229
Опубликована: Янв. 23, 2024
Язык: Английский
Процитировано
10Ecological Indicators, Год журнала: 2024, Номер 162, С. 111997 - 111997
Опубликована: Апрель 14, 2024
Identifying the dominant factors influencing ecosystem health and their optimal thresholds is essential for management restoration of ecosystems. Most works, however, have less detected importance level individual factors, especially changes over time scale, rarely determined threshold effects on (EH), which seriously hinders formulation targeted policies sustainable management. To address these research gaps, we present an innovative visualization approach to reveal in natural anthropogenic variables nonlinear coupling process with EH China's Yellow River Basin (YRB) last two decades. Results show that (i) Although YRB has improved slightly past 20 years, it still not optimistic shows distinct spatial heterogeneity. (ii) The impact human activities increased increasingly plays a decisive role, while aspect decreased recently. Specifically, environmental (slope, NDVI, annual temperature) are affecting upstream EH. Midstream significantly affected by synergistic effect but proportion built-up land intensified (ranked from 8th 4th). Anthropogenic exert greatest influence downstream variation, population density whose order rising 7th 2nd. (iii) By illustrating response curves at multi-scale, tipping point caused deterioration explored leading oriented towards most effective conservation goal obtained. These results help precisely identify current status YRB's ecosystem, as well providing valuable reference moderate standards
Язык: Английский
Процитировано
9Ecological Indicators, Год журнала: 2024, Номер 158, С. 111556 - 111556
Опубликована: Янв. 1, 2024
Beijing Plain is an important region for ecological planning and management. In the past decade, human activities have dramatically changed spatial landscape patterns of greenspaces in Plains. However, very few studies assessed main causative factors these changes. Herein, we analyzed Plains between 2015 2020 using multi-source remote sensing data, geographical information system, pattern index. Additionally, utilized gray correlation analysis to quantitatively analyze contributing dynamic changes greenspace patterns. We found that showed a gradual increase annually from 2020. Further, conversion types throughout study period mainly included interconversion woodland cropland, water, impervious surfaces. The transfer out woodlands has been decreasing while increasing. Grassland shrubs were almost entirely converted into other land use types. fragmentation overall reduced, aggregation increased, patches tended be fully distributed, connected, simpler, concentrated, regular. advantages landscapes gradually becoming more evident. Population urbanization, rapid economic growth, policies affecting findings provide scientific reference adjust structure, transform upgrade existing greenspaces, ensure sustainable development cities.
Язык: Английский
Процитировано
7Heritage Science, Год журнала: 2024, Номер 12(1)
Опубликована: Июнь 5, 2024
Abstract The Shibing Karst constitutes a pivotal component of the "South China Karst," and its ecosystem health integrity crucially influences Outstanding Universal Value (OUV) corresponding Natural World Heritage (NWH). Consequently, robust assessment (EHA) is imperative for judicious conservation management this heritage, as well sustainable progression region. This research assessed from 2004 to 2020 by employing changes in landscape patterns through Vigor-Organization-Resilience-Ecosystem Services (VORS) model. Spatial autocorrelation was employed discern spatial coherence evolutionary health, whereas geo-detector ascertained determinants impacting regional vitality. findings revealed that: (1) distribution study area exhibited considerable constancy, primarily comprising forest land, with rising trajectory construction land water, juxtaposed recession shrubland, grassland, paddy dryland expanses. (2) From 2020, maintained remained stable, mean values 0.8303, 0.7689, 0.6976, 0.7824, respectively, showing an trend initial downtrend followed upswing, 2016 marking juncture. (3) clustering analysis highlighted significant characteristics nominal decrease Global Moran's I index 0.666 0.665, which indicative subtle over time. High-high areas were predominantly located within Site (WHS), while low-low mainly distributed southeastern part buffer zone. (4) Land use cover change (LUCC) Ecosystem (ESs) identified primary indexes EHA, Resilience (ER), Vigor (EV), Organization (EO) exerting relatively mild influences. provides scientific framework policymakers local governance devise strategies management, enhances analytical perspective on (KNWH).
Язык: Английский
Процитировано
5Ecological Engineering, Год журнала: 2024, Номер 212, С. 107473 - 107473
Опубликована: Дек. 4, 2024
Язык: Английский
Процитировано
5The Science of The Total Environment, Год журнала: 2024, Номер 949, С. 175155 - 175155
Опубликована: Июль 31, 2024
Язык: Английский
Процитировано
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