Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Ecological Indicators, Год журнала: 2024, Номер 165, С. 112206 - 112206
Опубликована: Июнь 7, 2024
Язык: Английский
Процитировано
12Land, Год журнала: 2025, Номер 14(2), С. 249 - 249
Опубликована: Янв. 24, 2025
Under the influence of factors such as extreme weather and accelerated urbanization, China has witnessed a sharp escalation in conflicts between various land-use functions, leading to significant rise tensions people land. The coordination production, living, ecological functions is particularly important for strengthening civilization achieving regional high-quality development. concept “Production–Living–Ecological” (PLE) Spaces, proposed part China’s initiative, refers spatial framework that integrates production spaces (land agriculture, industry, commerce), living housing, consumption, public services), supporting ecosystem regulation biodiversity). Based on this perspective, paper investigates current situation potential function Guangdong–Hong Kong–Macao Greater Bay Area 2020. Utilizing multi-criteria evaluation analysis method, study develops function-evaluation model. Furthermore, establishes diagnostic model intensity based different permutations combinations land unit intensities. are categorized into ten types four stages. main findings follows: (1) In 2020, overall Guangdong, Hong Kong, Macao were at high, medium-high, low levels, respectively. stable controllable stage, largely out-of-control severely stage accounted 39.22%, 28.73%, 25.41%, 6.64%. focal points mainly located Guangzhou, Foshan, Shenzhen, Dongguan. (2) area was exposed varying degrees risk from conflicts, proportion conflict area, with proportions low, general, higher, high-conflict-potential areas being 47.88%, 23.43%, 22.14%, 6.54%, (3) primary hotspots concentrated Dongguan City administrative border “Foshan–Zhaoqing”, “Foshan–Jiangmen”, “Guangzhou–Zhongshan”.
Язык: Английский
Процитировано
1Ecological Indicators, Год журнала: 2024, Номер 162, С. 112023 - 112023
Опубликована: Апрель 17, 2024
Constructing a scientifically effective Urban Ecological Environment Vulnerability Index provides solid foundation for accurately describing the evolution of urban ecological environment vulnerability and making precise predictions about its risks. The existing composite index methods emphasize strength relationships among influencing factors but overlook synergistic interactions between dimensions. Given this, this article constructed system based on theoretical models sensitivity, resilience, pressure (SRP). We used geometric weighting method to describe strong weak introduced coupling model from physics portray coordination relationship Finally, we proposed constructing weighting-coupling degree method. data 35 cities in China as baseline validate stability reliability results indicated that compared with other major synthesis methods, trend peaks troughs average values indices synthesized by is smoother, which more consistent vulnerability. stage governance This validated better weighted-coupling researchers depict It may be methodological reference managers govern environment.
Язык: Английский
Процитировано
5Remote Sensing, Год журнала: 2024, Номер 16(6), С. 1047 - 1047
Опубликована: Март 15, 2024
As a highly productive and biologically diverse ecosystem, wetlands provide unique habitat for wide array of plant animal species. Owing to the strong disturbance by human activities climate change, wetland degradation fragmentation have become common phenomenon across globe. The Guangdong–Hong Kong–Macao Greater Bay Area (GBA) is typical case. GBA has experienced explosive growth in population economy since early 1980s, which resulted complicated transitions between non-wetlands. However, our knowledge about transformation paths, associated drivers, ecological influence GBA’s still very limited. Taking advantage land use maps generated from Landsat observations over period 1980–2020, here, we quantified spatiotemporal paths analyzed drivers influence. We found that dominant path non-wetland was built-up land, accounted 98.4% total loss. primary among different types coastal shallow water paddy reservoir/pond, with strongest intensity 1980s. driving forces behind change were vary region. Anthropogenic factors (i.e., urbanization) dominated developed cities, while aquaculture had greater underdeveloped cities. findings presented this study will reference management planning GBA.
Язык: Английский
Процитировано
4Ecological Indicators, Год журнала: 2024, Номер 166, С. 112284 - 112284
Опубликована: Июнь 26, 2024
Язык: Английский
Процитировано
3International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105272 - 105272
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0City and Environment Interactions, Год журнала: 2025, Номер unknown, С. 100194 - 100194
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Research Square (Research Square), Год журнала: 2025, Номер unknown
Опубликована: Апрель 4, 2025
Язык: Английский
Процитировано
0Frontiers in Environmental Science, Год журнала: 2025, Номер 13
Опубликована: Май 15, 2025
As a crucial indicator of terrestrial ecosystems, vegetation plays significant role in reflecting the interactions and coupled coordination between anthropogenic activities natural ecosystems. Understanding drivers change is paramount for achieving sustainable development socio-ecological systems. Climate are primary influencing factors change. Given current research gap understanding impacts climate on at different temporal scales within rapid urbanization process urban agglomerations, based Normalized Difference Vegetation Index (NDVI), nighttime light intensity climatic factors, this paper explores spatial-temporal distribution trend through analysis, uses empirical mode decomposition partial correlation analysis to analyzes time scales. The relative contributions were analyzed by residual method. results reveal that: NDVI exhibits an increasing most regions, Land Surface Temperature (LST) has significantly increased, intensified half regions. shows spatiotemporal heterogeneity, with correlated areas extension A strong negative activity mainly distributed core various cities. regions where negatively LST primarily located Zhaoqing, Jiangmen, Huizhou. Increases precipitation sunshine duration promote growth. influenced short term. In long-term trend, dominated changes caused These findings contribute comprehensive driving mechanisms dynamic context provide scientific basis formulating more effective ecological management strategies.
Язык: Английский
Процитировано
0International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер unknown, С. 104905 - 104905
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
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