Ecological Indicators, Год журнала: 2024, Номер 169, С. 112874 - 112874
Опубликована: Дек. 1, 2024
Язык: Английский
Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100580 - 100580
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2
Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106299 - 106299
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0
Land, Год журнала: 2025, Номер 14(5), С. 913 - 913
Опубликована: Апрель 22, 2025
The rapid pace of urbanization has led to excessive resource consumption and worsening environmental pollution, particularly in resource-based cities, where prolonged exploitation mineral resources resulted dual challenges ecological degradation economic imbalance. Using Fushun, a resource-exhausted city still struggling with its transformation, as case study, this research develops progressive analytical framework that integrates the InVEST model, optimal parameter geographic detector, multi-scale geographically weighted regression. This framework, comprising sequence steps—single-factor analysis, interaction-factor global regression analysis—enables comprehensive exploration driving mechanisms behind ES changes Fushun from 2000 2020. results indicate following: (1) Significant ecosystem services were observed, water yield soil conservation showing fluctuating upward trend, while carbon storage habitat quality experienced slight declines. (2) Over time, dominant drivers transitioned primarily socio-economic factors synergistic influence natural human activities. GDP land use intensity increasingly contributed explaining through their interaction effects. (3) At street scale, exhibited spatial heterogeneity. For instance, negative effects built-up cultivated more pronounced urban–rural transition zones, elevation NDVI had positive impact source areas. provides systematic targeted recommendations offer data-driven insights guide policies prioritizing regional sustainability. Furthermore, it practical reference points for improving other coal cities undergoing incomplete transformations.
Язык: Английский
Процитировано
0
Remote Sensing, Год журнала: 2024, Номер 16(19), С. 3560 - 3560
Опубликована: Сен. 25, 2024
River and lake health assessment (RLHA) is an important approach to alleviating the conflict between protecting river ecosystems fostering socioeconomic development, aiming for comprehensive protection, governance, management. Vegetation, a key component of riparian zone, supports maintains (RLH) by providing range ecological functions. While research on zone vegetation ongoing, these studies have not yet been synthesized from perspective integrating RLHA with functions vegetation. In this paper, based bibliometric method, relevant literature topics unmanned aerial vehicle (UAV) remote sensing were screened counted, keywords highlighted, respectively. Based connotation RLH, paper categorizes indicators into five aspects: water space: critical area body land in zone; resources: amount lake; environment: quality ecology:aquatic organisms services:the function ecosystem services lake. aspects, analyzes role RLHA. roles are summarized as follows: stabilizing riverbanks, purifying quality, regulating temperature, food, replenishing groundwater, biological habitats, beautifying human habitats. This application summarizing correlation Moreover, advantages UAV technology quantitative monitoring analysis high spatial temporal resolution characteristics focuses On basis, summarizes content It covers several delineation extent, identification types distribution, influence changes floodplain, cover, plant diversity, impact distribution habitat. objects involved zones, vegetation, floodplains, each category. Finally, challenges at current stage, including limitations platforms sensors, complexity data information. envisages future prospects development hardware software such platforms, technologies, well integrated air-to-ground systems construction tailored actual management applications.
Язык: Английский
Процитировано
2
Land, Год журнала: 2024, Номер 13(11), С. 1788 - 1788
Опубликована: Окт. 30, 2024
A healthy rural ecosystem ensures a win–win situation for both economic growth and ecological conservation. However, the impact of land use changes at level on health remains unclear. This study focuses scale Zheng–Bian–Luo, analyzing in from 2000 to 2020. Using “Ecosystem Vigor-Organization-Resilience-Services” model, evaluates spatiotemporal patterns health. The Patch-generating Land Use Simulation (PLUS) model was employed simulate 2035 under three scenarios: Natural Development (ND), Ecological Protection (EP), Cropland (CP). findings are as follows: (1) From 2020, area cultivated Zheng–Bian–Luo areas decreased, forest first decreased then increased. (2) During period, improved vigor, organization, services Low-value showed shrinking trend, most notably Kaifeng. (3) By 2035, EP scenario, increased by 76.794 km2, while it CP ND scenarios. Construction an increasing trend all scenarios, with scenario seeing largest increase 718.007 km2. (4) In is projected decline due reduced construction land. no significant change health, but southwestern Luoyang improved. saw overall highlighting optimization beneficial. Local governments encouraged create protection plans balancing protection, focusing sensitive such Songshan region mountainous coordinated development.
Язык: Английский
Процитировано
0
Ecological Indicators, Год журнала: 2024, Номер 169, С. 112874 - 112874
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
0