Published: Jan. 1, 2024
Language: Английский
Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(22)
Published: Nov. 1, 2024
Language: Английский
Citations
1
ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(11), P. 412 - 412
Published: Nov. 14, 2024
Understanding the ecosystem services and their interaction with coal resource development is crucial for formulating sustainable policies. In this study, we focused on Yellow River Basin, characterized by both rich resources ecological fragility. The key findings are that (1) service value (ESV) in Basin exhibited significant spatial heterogeneity during 2000–2030, decreasing from southeast to northwest, most notably southern part of upper reaches river basin; (2) high-high clustering area ESV shifted upper-middle 2000 middle-lower 2020, while low-low remained within Inner Mongolia. By 2030, expected stabilize Shaanxi Province, will potentially spread eastward; (3) overall low, it experienced a decline water supply emerging as major limiting factor, although some policy-supported counties had better values trends. (4) From mining intensity (CMI) was concentrated middle reaches, particularly at junctions Shanxi, Shaanxi, Mongolia, pattern stable, but local areas increased intensity; (5) overlap CMI primarily low-high eastern Ordos City, basin Shanxi which stable slightly expanded 2030; (6) trade-off between intensified, especially provisioning support services, significantly impacted activities. indicate overlaps has an increasing negative impact ESV. It also essential address trade-offs implement restoration measures mitigate risk loss. Future efforts should focus regions where have poor coordination adverse effects extraction becoming more pronounced. results study demonstrate analysis effective identifying hotspots provides foundation developing high-quality policies ecologically fragile basins.
Language: Английский
Citations
1
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177527 - 177527
Published: Nov. 20, 2024
Globally, land use change has consistently resulted in greater losses than gains aboveground biomass (AGB). Forest fragmentation is a primary driver of biodiversity loss and the depletion natural capital. Measuring landscape characteristics analyzing changes forest patterns are essential for accounting contributions ecosystems to economy human well-being. This study predicts national distribution 2036 2054 using Cellular Automata (CA) system assesses ecosystem conditions through metrics at patch, class, levels. We calculated 130 applied Variance Threshold method remove features with low variance, testing different thresholds. The first filtered-out were further analysed Principal Component Analysis combined Feature Importance technique select rank top 10 indicators: effective mesh size, splitting index, mean radius gyration, largest patch core area, area percentage, Simpson's evenness mutual information, diversity contiguity index. eleventh selected indicator AGB density, structural measurement condition proxy carbon storage sequestration assessments. From 2000 2018, stock decreased from 131.5 91.3 Megatons (Mt) expected values being 71.8 55.3 Mt., respectively. Landscape measurements quantitatively describe dynamics, providing insights into structure, configuration, characterizing evolution. research underscores capability CA models map large-scale resources predict future development scenarios, offering useful information conservation environmental management decisions. Additionally, it provides support Ecosystem Accounting by assessing extent indicators its conditions.
Language: Английский
Citations
1
Published: Jan. 1, 2024
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Language: Английский
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Published: Jan. 1, 2024
Language: Английский
Citations
0