Applied Geography, Год журнала: 2024, Номер 172, С. 103438 - 103438
Опубликована: Окт. 16, 2024
Язык: Английский
Applied Geography, Год журнала: 2024, Номер 172, С. 103438 - 103438
Опубликована: Окт. 16, 2024
Язык: Английский
Atmosphere, Год журнала: 2024, Номер 15(6), С. 671 - 671
Опубликована: Май 31, 2024
With the ongoing advancement of globalization significantly impacting ecological environment, continuous rise in Land Surface Temperature (LST) is increasingly jeopardizing human production and living conditions. This study aims to investigate seasonal variations LST its driving factors using mathematical models. Taking Wuhan Urban Agglomeration (WHUA) as a case study, it explores characteristics employs Principal Component Analysis (PCA) categorize factors. Additionally, compares traditional models with machine-learning select optimal model for this investigation. The main conclusions are follows. (1) WHUA’s exhibits significant differences among seasons demonstrates distinct spatial-clustering different seasons. (2) Compared geographic spatial models, Extreme Gradient Boosting (XGBoost) shows better explanatory power investigating effects LST. (3) Human Activity (HA) dominates influence throughout year positive correlation LST; Physical Geography (PG) negative Climate Weather (CW) show similar variation PG, peaking transition; Landscape Pattern (LP) weak LST, winter while being relatively inconspicuous summer transition. Finally, through comparative analysis multiple constructs framework exploring features aiming provide references guidance development WHUA regions.
Язык: Английский
Процитировано
31Land Use Policy, Год журнала: 2025, Номер 151, С. 107494 - 107494
Опубликована: Фев. 5, 2025
Язык: Английский
Процитировано
8Environmental Impact Assessment Review, Год журнала: 2024, Номер 106, С. 107464 - 107464
Опубликована: Фев. 28, 2024
Язык: Английский
Процитировано
17Ecological Informatics, Год журнала: 2024, Номер 82, С. 102673 - 102673
Опубликована: Июнь 9, 2024
Regional ecological security pattern (ESP) can provide the basis for regional territorial spatial planning and urban protection. Taking Wuhan metropolitan area as study area, a binary logistic regression model was used to quantify evolutionary driving forces transformation risk of land. An identification framework source based on "quality-risk-demand" constructed identify by calculating land comprehensive value from three aspects quality, degradation risk, human demand. The resistance surface calculated according land-use type nighttime light data, further using circuit theory range its key areas corridors, specific ESP their priority area. results showed sources were 382.4 km2, accounting 17.3% corridors in terrestrial ecosystem (TEC) 14.38 with an average width 77.8 m, including 4.99 km2 pinch points 3.71 barriers, indicating poor actual connectivity TEC. Ecological aquatic (AEC) 107.67 km long, 57.86 14.24 substitutability AEC. Overall, "three horizontals, verticals, four clusters" identified, where sources, barriers protection restoration constructing it. Existing spaces within range, corridor highly consistent situation, verifying significance framework. This focuses needs residents, combining intrinsic quality extrinsic risks land, proposes integrated identifying identifies theory, attempts quantitative case reference construction other areas.
Язык: Английский
Процитировано
16Environmental Impact Assessment Review, Год журнала: 2024, Номер 108, С. 107613 - 107613
Опубликована: Авг. 2, 2024
Язык: Английский
Процитировано
10Land, Год журнала: 2024, Номер 13(9), С. 1407 - 1407
Опубликована: Сен. 1, 2024
Wetlands play a crucial role in maintaining biodiversity and ecological balance. Preserving the security of wetlands is critically important for regional environmental protection sustainable development. However, core area Wuhan metropolitan circle, which rapidly urbanizing, its are more susceptible to external natural risks, such as changes temperature rainfall, well risks human activity, social economic activities, urban expansion, land use changes, population growth. Meanwhile, internal vulnerability terms their spatial extent, structure, functions also exacerbates risks. These factors collectively influence formation development wetland This study aims comprehensively assess circle by combining hazards vulnerabilities construct optimize wetlands’ pattern. We used MSPA method identify potential sources. Additionally, MCR model was employed integrate risk assessment results into resistance surface, corridors nodes, pattern propose specific optimization strategies. In total, 31 primary 106 secondary sources were selected, along with 20 42 nodes. Furthermore, 10 major constructed. Considering landscape characteristics southern Yangtze River region will center around Liangzi Lake group establish corridor network, promoting overall restoration connectivity. northern form chain-like distribution river, creating diverse ecosystems. provides theoretical foundation constructing optimizing wetlands, laying solid groundwork conservation
Язык: Английский
Процитировано
4Land Degradation and Development, Год журнала: 2025, Номер unknown
Опубликована: Янв. 20, 2025
ABSTRACT The Yangtze River Economic Belt (YREB) is a key eco‐environmental protection barrier and economic engine in China. Understanding the characteristics of its spatiotemporal evolution mechanisms driving these changes important for revealing shifts ecosystem structure function. However, governing elements ecological environment how components interact remain unclear due to strong coupling impact urbanization climate change. This paper constructed long‐term series remote sensing based index (RSEI) evaluate variation YREB during 2000–2024. Subsequently, fundamental reasons were quantitatively analyzed using optimal parameters‐based geographical detector (OPGD). Results indicated: (1) average RSEI was 0.68, indicating rather high overall quality (EEQ), with 73% region having values more than 0.60. regions excellent conditions concentrated Zhejiang, Jiangxi, Guizhou, Hunan, while poorer areas northwestern Yunnan, southwestern Sichuan, western Hubei. (2) EEQ mainly showed degradation trend, degraded exceeding 80% over past 25 years. In future, most might face higher risks degradation. (3) Digital elevation model (DEM), temperature (Tem), population (POP) factors environment. There significant interactions between certain factors, interaction DEM potential evapotranspiration (Pet) explaining 62.2% distribution. findings assisted creation an civilization by offering policy proposals managing conserving environments.
Язык: Английский
Процитировано
0Forests, Год журнала: 2025, Номер 16(3), С. 422 - 422
Опубликована: Фев. 26, 2025
Ecotones, i.e., transition zones between habitats, are important landscape features, yet they often ignored in monitoring. This study addresses the challenge of delineating ecotones at multiple scales by integrating multisource remote sensing data, including ultra-high-resolution RGB images, LiDAR data from UAVs, and satellite data. We first developed a fine-resolution landcover map three plots Yunnan, China, with accurate delineation using orthoimages canopy height derived UAV-LiDAR. These maps were subsequently used as training set for four machine learning models, which most effective model was selected an upscaling model. The encompassing Synthetic Aperture Radar (SAR; Sentinel-1), multispectral imagery (Sentinel-2), topographic functioned explanatory variables. Random Forest performed best among models (kappa coefficient = 0.78), red band, shortwave infrared vegetation edge band significant spectral Using this RF model, we compared patterns 2017 2023 to test model’s ability quantify ecotone dynamics. found increase over period that can be attributed expansion 0.287 km2 (1.1%). In sum, demonstrates effectiveness combining UAV precise, large-scale detection. enhance our understanding dynamic relationship ecological processes pattern evolution.
Язык: Английский
Процитировано
0Land Degradation and Development, Год журнала: 2025, Номер unknown
Опубликована: Май 13, 2025
ABSTRACT Ecological networks (ENs) are vital for maintaining regional ecological security and preserving biodiversity. While various methods exist constructing ENs, their effectiveness across different spatial scales, particularly in urban agglomerations, has not been thoroughly investigated. This study focuses on the Yangtze River Delta agglomeration (YRDUA), ENs at three scales: agglomeration, metropolitan area, city. Two were employed each step, outcomes evaluated ranked using specific indicators. The results indicate: (1) For source identification, distribution of sources identified by is consistent same scale, with number scales being around 600, 140, 160, respectively. (2) resistance surface construction, although there differences between two methods, final value shows relatively small changes. (3) Regarding corridors, quantities 1470, 380, 410, indicators, α values 0.71, 0.85, 0.81, respectively; β 2.42, 2.68, 2.61, γ 0.90, 0.88, Cr 0.80, 0.68, Comparing ranking all indicators can yield: MSPA method, surfaces constructed Spatial Principal Component Analysis (SPCA), corridors extracted Linkage Mapper yielded optimal results. At city Analytical Hierarchy Process (AHP), Graphab These findings provide methodological guidance offer new insights landscape planning multiple levels.
Язык: Английский
Процитировано
0Ecological Indicators, Год журнала: 2024, Номер 169, С. 112754 - 112754
Опубликована: Ноя. 6, 2024
Язык: Английский
Процитировано
3