A health-service-risk framework for evaluating ecological carrying capacity in arid inland river basins: A case study of the Tarim River Basin

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113427 - 113427

Published: April 1, 2025

Language: Английский

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Assessing of driving factors and change detection of mangrove forest in Kubu Raya District, Indonesia

Frontiers in Forests and Global Change, Journal Year: 2025, Volume and Issue: 8

Published: April 28, 2025

Land cover change information is needed to support decision-making in land-based natural resource management, especially coastal areas and mangrove ecosystems. This study aims assess the drivers detect forest over last 30 years Kubu Raya District, Indonesia, using satellite imagery data from United States Geological Survey (USGS) Earth Explorer. Maximum Likelihood Classification was used analyze images four different recording digitally: 1993 (Landsat 5), 2003 7), 2013 2023 8). Getis-Ord Gi* analysis also observe fragmentation distribution patterns determine with hot spots or cold Reticular Fragmentation Index (RFI) value as a consideration. Binary Logistic Regression (BLR) of social variables, including population density, education, accessibility, soil type, rainfall, temperature, slope, elevation. The results showed significant decrease cover, 1,011.37 km 2 1993–964.37 2023, an average loss 3.25 per year, mangroves, open areas, ponds, water bodies, agricultural settlements. pattern that occurs some northern part, there are insignificant points then turn into 2023. Meanwhile, were shifted spread central part area. In addition, variables provide values directly inversely proportional driving factors. Social factors, land access, have relationship change. Regulations made by government presence educated community main for ecosystem conservation; existing access not exploitation but only daily activities. Natural such alluvial types, high concentration nutrients, making them ideal sustainable agriculture ponds. Rainfall intensity contributes higher production stable pond water. Conservation efforts must consider these changes spatial dynamics effectively protect ecosystems future.

Language: Английский

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Predictions of Land Use/Land Cover Change and Landscape Pattern Analysis in the Lower Reaches of the Tarim River, China

Land, Journal Year: 2023, Volume and Issue: 12(5), P. 1093 - 1093

Published: May 19, 2023

Natural vegetation on both sides of the Tarim River Basin (TRB) is only barrier—a critical ecological niche—between economic belt in artificial oasis and Taklimakan Desert. To understand impact human activities TRB, we explored spatial temporal variations land use/land cover change (LUCC) landscape pattern evolution from 2000 to 2020. These were simulated for 2030 with 20 years data using cellular automata–Markov model geographical information system analyses. The results predicted substantial LUCCs lower reaches (TRlr), 3400 km2 (20.29%) total area (16,760.94 km2) undergoing changes. Wetland, land, grassland, farmland, forestland areas increased by 578.59, 43.90, 339.90, 201.62, 536.11 km2, respectively, during period 2020 2030. decreases Gobi/other deserts bare soils (1700.13 km2). We also determined current future changes TRlr indices at class levels. Combined a field survey hydrological data, theoretical support effective use management strategies provided. findings offer scientific basis civilization construction sustainable development TRB.

Language: Английский

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Dynamic Evolution and Scenario Simulation of Ecosystem Services under the Impact of Land-Use Change in an Arid Inland River Basin in Xinjiang, China

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(9), P. 2476 - 2476

Published: May 8, 2023

Ecosystem services (ESs) are crucial for sustainable development, as they impact human well-being. However, changes in land use/land cover (LULC) caused by climate change and social development can negatively affect ESs, particularly arid river basins. This study focuses on current future LULC the Kaxghar River Basin (KRB) Xinjiang, China, to determine how these will region’s ESs. The integrated PLUS-InVEST model was used investigate spatiotemporal distribution changing patterns of habitat quality (HQ) carbon storage (CS) under natural increase scenario (NIS), economic (EDS), water protection (WPS). Additionally, Service Contribution Index (ESCI) also calculated evaluate contribution results show following: (1) from 2000 2020, average value HQ KRB gradually decreased 0.54 0.49 CS trended slightly upward, with a total 0.07 × 106 t. Furthermore, were highly consistent LULC. (2) From 2020 2030, area low-grade (0–0.2) saw continuous increase, fastest growth occurring 2030 EDS. Meanwhile, WPS, significantly improved, expanding 1238 km2 area. Total three test scenarios tended decline, NIS showing smallest decrease. (3) expansion cropland unused had negative CS, whereas conversion grassland forestland significant positive impact. In conclusion, insights enrich our understanding ESs contribute balancing relationship between ecological conservation socioeconomic Basin, well other parts China’s Northwest similar regions around world.

Language: Английский

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Predicting Land-Use Change Trends and Habitat Quality in the Tarim River Basin: A Perspective with Climate Change Scenarios and Multiple Scales

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1146 - 1146

Published: July 26, 2024

Under the influences of climate change and human activities, habitat quality (HQ) in inland river basins continues to decline. Studying spatiotemporal distributions land use HQ can provide support for sustainable development strategies ecological environment arid regions. Therefore, this study utilized SD-PLUS model, InVEST-HQ Geodetector assess simulate land-use changes Tarim River Basin (TRB) at multiple scales (county grid scales) scenarios (SSP126, SSP245, SSP585). The results indicated that (1) Figure Merit (FoM) values Globeland 30, China’s 30 m annual land-cover product, Chinese Academy Sciences (30 m) product were 0.22, 0.12, 0.15, respectively. A comparison datasets with different resolutions revealed kappa value tended decline as resolution decreased. (2) In 2000, 2010, 2020, 0.4656, 0.4646, 0.5143, SSP126 SSP245 scenarios, showed an increasing trend: years 2030, 2040, 2050, they 0.4797, 0.4834, 0.4855 0.4805, 0.4861, 0.4924, SSP585, first increased then decreased, 0.4791, 0.4800, 0.4766 (3) three areas improved mainly located southern northern high mountain regions around urban areas, while diminished primarily western part basin central areas. (4) At county scale, spatial correlation was not significant, Moran’s I ranging between 0.07 except 2000 2020. clear high- low-value clustering (Moran’s 0.80 0.83). This will assist planners policymakers formulating policies promote civilization basin.

Language: Английский

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Spatiotemporal Evolution of Habitat Quality and Scenario Modeling Prediction in the Tuha Region

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 1005 - 1005

Published: July 7, 2024

In recent years, increasing urbanization has profoundly impacted the quality of regional habitats, presenting a severe risk to ability region develop in high-quality manner. Therefore, scientific assessment features habitat (HQ) evolution over time and space prediction future trends changes HQ are great significance for formulation effective ecological protection policies. Based on five periods land use cover (LULC) data from 2000 2020, InVEST model was used estimate both geographical chronological Tuha region, China. Spatial autocorrelation analysis methods were assess spatial aggregation degradation, zoning delineated conjunction with Human Footprint Index (HFI). results zoning, study predicted 2040 under three scenarios: natural development (ND), preservation (EP), urban (UD) by applying Patch-Generating Land Use Simulation (PLUS) model. The demonstrated that (1) exhibited downward trend, proportion low 83.63% 84.24%. Spatially, high is mainly concentrated Tianshan Mountains. From Moran index decreased 0.967 0.959, while degradation declined 0.805 0.780. exhibit significant aggregation, degree increased incrementally. (2) human activities area continuously district counties. (HFI) 0.66% 1.32%, medium HFI 3.13% 7.46%. (3) expansion urbanized exacerbated degradation. EP scenario higher than ND UD scenario. show more conducive sustainable region. can provide basis management area.

Language: Английский

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Spatial and Temporal Dynamics and Multi-Scenario Forecasting of Habitat Quality in Gansu–Qinghai Contiguous Region of the Upper Yellow River

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 1060 - 1060

Published: July 15, 2024

Human activities exert a profound influence on land use and cover, these changes directly habitat quality ecosystem functioning. In the Gansu–Qinghai contiguous region of upper Yellow River, has undergone substantial transformations in recent years due to synergistic impacts natural processes human intervention. Therefore, evaluating effects is crucial for advancing regional sustainable development improving worth services. response challenges, we devised two-pronged approach: simulation (FLUS) model an integrated valuation services trade-offs (InVEST) model, leveraging remote sensing data. This methodology establishes research framework evaluation spatial temporal variations quality. The results study show that, firstly, from 1980 2020, index River decreased 0.8528 0.8434. Secondly, our predictions anticipate decrease quality, although decline not pronounced across all scenarios. highest values were projected under EP (Ecology Priority) scenario, followed by CLP (Cultivated Land while BAU (Business as Usual) scenario consistently yielded lowest three Finally, ecological land, including forest grassland, occupied areas characterized high contrast, Construction appeared regions associated with low implementation conservation measures emerges strategy, effectively limiting expansion construction promoting augmentation grassland cover. approach serves enhance overall These outcomes furnish scientific foundation judicious formulation future land-use policies protection measures.

Language: Английский

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Spatial-temporal changes in mangrove Forests for Analyzing habitat Integrity: A case of hara biosphere Reserve, Iran

Environmental and Sustainability Indicators, Journal Year: 2023, Volume and Issue: 20, P. 100293 - 100293

Published: Sept. 4, 2023

Spatial-temporal changes in land use and cover (LULC) patterns have led to the fragmentation of forest ecosystems reduction more than one-third mangrove forests worldwide. Environmental protection challenges biodiversity threats attracted national international concerns last three decades. Accordingly, present study demonstrates spatial-temporal Hara Biosphere Reserve using Landsat images from 1989 2021. Moreover, habitat integrity this area was investigated based on ecological landscape metrics. The results LULC revealed that is decreasing, while other (LU) such as tidal bare are increasing. Likewise, area, had top increasing trend 2021 compared 1989, water body decreasing during studied years. According metrics change, patches dispersion increased at level classes, these classes decreased obtained indicate has due increase human activities development. Therefore, planners decision-makers should strive reduce causes rapid changes‏.‏

Language: Английский

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Large-Scale Populus euphratica Distribution Mapping Using Time-Series Sentinel-1/2 Data in Google Earth Engine

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(6), P. 1585 - 1585

Published: March 14, 2023

Accurate and efficient large-scale mapping of P. euphratica distribution is great importance for managing protecting forests, policy making, realizing sustainable development goals in the ecological environments desert areas. In large regions, numerous types vegetation exhibit spectral characteristics that closely resemble those euphratica, such as Tamarix, artificial allée trees, posing challenges accurate identification euphratica. To solve this issue, paper presents a method mapping. The geographical were first utilized to rapidly locate appropriate region interest further reduce background complexity interference from other similar objects. Spectral features, indices, phenological backscattering features extracted all available Sentinel-2 MSI Sentinel-1 SAR data 2021 regarded input random forest model used classify GEE platform. results then compared with using only index added by visually quantitatively referencing field-surveyed samples, UAV data, high-spatial-resolution Google Earth Data Map World. comparison indicated proposed method, which adds both time-series could correctly distinguish have information rates omission errors (OEs), commission (CEs), overall accuracy (OA) 12.53%, 11.01%, 89.32%, respectively, representing increases approximately 9%, 17%, 13% features. significantly improved classification terms and, especially, commission.

Language: Английский

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Spatio‐Temporal Variations of Habitat Quality Under 8 SSP‐RCP Scenarios in China

Journal of Geophysical Research Biogeosciences, Journal Year: 2024, Volume and Issue: 129(7)

Published: June 29, 2024

Abstract Habitat quality is a key expression of ecosystem ability and the basis for effective species conservation regional ecological environment improvement. However, most studies have focused on assessing habitat over historical periods, ignoring influence coupled future development paths climate change. The present study addresses this issue by developing spatial‐temporal variation analysis framework in China, which integrates Integrated Valuation Ecosystem Services Trade‐offs (InVEST) model with eight Earth system scenarios (SSP‐RCP). results showed that from 2020 to 2100, under five (SSP2‐4.5, SSP3‐7.0, SSP4‐6.0, SSP5‐3.4, SSP5‐8.5), was generally stable high, while three (SSP1‐1.9, SSP1‐2.6, SSP4‐3.4), it decreased. SSP2‐4.5 scenario significantly better than SSP4‐3.4 scenario. In all scenarios, influences different patterns China's ecologically fragile areas were obvious serious. 2030 2060, spatial distribution degradation had similar characteristics. High values mostly distributed east Heihe‐Tengchong Line, low mainly arid zone. mean ranged between 0.0226 0.0302, degree relatively light. index 0.5120–0.5376, indicating overall at medium level. This provides potential protection baseline China based an important reference sustainable development.

Language: Английский

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