
Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112249 - 112249
Published: June 20, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112249 - 112249
Published: June 20, 2024
Language: Английский
Global and Planetary Change, Journal Year: 2024, Volume and Issue: unknown, P. 104602 - 104602
Published: Oct. 1, 2024
Language: Английский
Citations
10Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 360, P. 121158 - 121158
Published: May 22, 2024
Language: Английский
Citations
5Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 436, P. 140667 - 140667
Published: Jan. 1, 2024
Language: Английский
Citations
4Land, Journal Year: 2024, Volume and Issue: 13(3), P. 278 - 278
Published: Feb. 23, 2024
Guanling-Zhenfeng County, a microcosm of the ecologically fragile karst area in southwest China, experiences rapid population growth and urban expansion which intensifies land use transformation ecological landscape fragmentation. Exploring spatiotemporal characteristics fragmentation its causes County is great significance maintaining stability ecosystem protection areas. In this study, comprehensive index (FI), geographic probe, multi-scale geographically weighted regression (MGWR), PLUS model were used to quantitatively explore characteristic heterogeneity, causes, future scenario projections from 2000 2020. The results showed that: (1) distribution each was characterized by obvious spatial differentiation. Among them, trends patch density (PD) largest (LPI) opposite Shannon diversity (SHDI) evenness (SHEI) similar. There fewer heterogeneous patches study 2020, shape more regular less fragmented. (2) overall 2020 dominated moderate fragmentation, with smallest percentage extreme heavy mainly distributed north-central part area. (3) Natural social factors jointly affect there significant interactive enhancement effect among factors, being most important influence factor. addition, effects on non-stationarity. (4) changes under different scenarios varied significantly, increase business-as-usual (BAU), next planning (LUP), (ESP).
Language: Английский
Citations
2Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1348 - 1348
Published: Aug. 24, 2024
Vegetation plays an important role in absorbing carbon dioxide and accelerating the achievement of neutrality. As ecological barrier North China, Taihang Mountains are pivotal to construction project China. Nevertheless, dynamic development vegetation sink region impact factors on have not been systematically evaluated. This study employed a comprehensive approach, utilising remote sensing technology meteorological topographic data, conjunction with net ecosystem productivity (NEP) estimation model reveal characteristics sinks Mountain, then revealed dynamics evolution NEP inter-annual trend by using Theil–Sen Median slope estimation, Mann–Kendall test, coefficient dissociation analysed driving roles influencing parameter optimal geographic detector. Our findings suggest that Mountain area has clear growth time, average value is 289 gC-m−2-a−1 from 2000 2022, spatial distribution shows high northeast low middle west, gradual increase southwest; areas fluctuation mainly distributed around some cities susceptible interference natural or anthropogenic factors. The influenced variety factors, among which explanatory power each factor as follows: DEM (0.174) > temperature (0.148) precipitation (0.026) (0.017) direction (0.003). had strongest for changes, two-by-two effects were all significantly stronger than single factor, interaction between power; distinguishing climate change contribution activities changes more 90% Mountainous Region was 60%, force change. results this can only provide reference reduction restoration projects but also benefit research paradigm sequestration other regions.
Language: Английский
Citations
2Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102907 - 102907
Published: Nov. 1, 2024
Language: Английский
Citations
2Transactions in Earth Environment and Sustainability, Journal Year: 2023, Volume and Issue: 1(2-3), P. 177 - 204
Published: Sept. 1, 2023
Vegetation restoration is an important way to improve karst ecosystems. Currently, research on the hydrological effects of vegetation in areas has made great progress. However, results obtained from relevant studies have some limitations and uncertainties. Thus, this paper summarizes progress five aspects: soil moisture, evapotranspiration, surface subsurface runoff, water use efficiency utilization strategies, runoff generation sink processes. The showed that existing studies’ evidence influence still contradictory, with suggesting can reduce moisture value, others saying it increase it. Furthermore, ability different types recover deficits varies across time scales, so focusing spatial temporal variations evapotranspiration regions important. This article investigates areas, as mainly controlled by types, climatic conditions, human activities geological meaning hydrogeological structure a very fundamental region, we also investigate conditions process well type stage restoration, factors affect restoration. Studies however, are based relationship single element, describing its variability, they do not sufficiently quantify reaction principles. analyzes problems challenges current studies, proposes combination geophysical detection, establishing dynamic model co-evolution ecohydrology zone mean fieldwork further verify scientific validity results.
Language: Английский
Citations
4Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2277 - 2277
Published: March 8, 2024
Net Ecosystem Productivity (NEP) is an important measure to assess the carbon balance and dynamics of ecosystems, providing a direct source–sink in terrestrial ecosystems finding widespread applications cycle research. However, nonlinear characteristics NEP Xinjiang’s remain unclear. Additionally, influence land use patterns, temperature, precipitation variations on sink capacity remains Ensemble Empirical Mode Decomposition (EEMD) used investigate variation Xinjiang. Landscape pattern analysis patterns from 1981 2019 conducted using 30 km moving window, interannual relationships between NEP, meteorological factors are investigated through EEMD detrending Pearson correlation. The findings indicate that: (1) exhibits variations, primarily concentrated foothills Tianshan Mountains, with three-year cycle. (2) Although changes most regions not significant, urban clusters northern slopes Mountains show noteworthy trends, initial decrease followed by increase, covering around 34.87% total area. Areas at risk decline constitute approximately 7.32% (3) Across Xinjiang, we observe rise patch fragmentation complexity, coupled connectivity size dominant patch. there notable increase both diversity evenness types. correlation generally found be insignificant majority areas, percentage exceeding 85%. (4) Approximately 62% Xinjiang have that positively correlated significance observed 33% these areas. Furthermore, almost 95% demonstrate precipitation, noted 83% regions. It appears exerts more pronounced fluctuations when compared temperature.
Language: Английский
Citations
1The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175517 - 175517
Published: Aug. 13, 2024
Language: Английский
Citations
1Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 207, P. 107704 - 107704
Published: May 21, 2024
Language: Английский
Citations
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