Wetlands, Journal Year: 2024, Volume and Issue: 44(8)
Published: Dec. 1, 2024
Language: Английский
Environmental Management, Journal Year: 2025, Volume and Issue: unknown
Published: May 15, 2025
Language: Английский
Citations
0
Land, Journal Year: 2025, Volume and Issue: 14(4), P. 776 - 776
Published: April 4, 2025
Coastal wetlands are vital ecosystems at the land–sea interface. They intercept land-based pollutants, regulate microclimates, and mediate carbon cycles. play a significant role in enhancing sequestration capacity maintaining ecological structure functioning. This study proposes an improved method for estimating blue storage coastal salt marsh wetlands, considering soil thickness, by utilizing enhanced Soil Land Inference Model (SoLIM) to estimate thickness with restricted number of sample points. The wetland index is integrated into Integrated Valuation Ecosystem Services Trade-offs (InVEST) estimation model, ultimately enabling visualization Liaohe Estuary wetland. Results indicate following: (1) studied area’s shows spatial distribution pattern that becomes progressively thinner from north south. more vegetation areas minor tidal flat areas, 52% region having between 40 60 cm. (2) In 2023, stock area estimated 389.85 × 106 t, high-value concentrated northern natural landscapes, low-value southern zone, characterized terrain human influence. coupled thickness–blue model provides methodological support refining wetlands. It also offers technical formulating policies on restoration, compensation, protection, management
Language: Английский
Citations
0
Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110843 - 110843
Published: Aug. 31, 2023
Climate change and anthropogenic disturbances are altering global lake-wetlands (LWs) their ecosystem services (ESs), posing a threat to sustainable development. Understanding the spatiotemporal heterogeneity scale effects of LWESs has risen be critical concern in management wetlands. Although large lakes or at macro-region well documented, complexity urbanizing areas remains further addressed. Here we aim reveal under coinciding wetland conservation urbanization through study Wuhan, multi-lake city central China. The variations from 1999 2019 were characterized by nine indicators based on time-series remote-sensing images statistical data. A V-shaped trend was observed area LWs over time, which decreasing 8.12% 1999–2010 while recovering 9.57% 2010–2019. LW loss main urban (MA) mainly encroached construction lands, restoration croplands rural (RA) completely offsets LWs. We found that rates most more severely degraded along rural–urban gradient, except for cultural services. Specifically, water supply (-57.39%), flood regulation (-34.19%), climate (-31.36%), biodiversity (-62.13%) damaged MA. However, carbon sink RA suffer severe degradation. Not only with but also showed obvious effects. larger LWs, higher ES capacity tends be. Smaller heavily encroached, worst capacities. These results highlight should no longer homogeneous, combine spatial heterogeneity. Due land resource constraints, those close center improve regulating supporting service capacities, away, improvements can pursued balance demand growth. Further, it is important conserve existing small over-encroachment.
Language: Английский
Citations
8
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 567 - 567
Published: Feb. 1, 2024
Comprehending the spatiotemporal dynamics and driving factors of small micro wetlands (SMWs) holds paramount significance in their conservation sustainable development. This paper investigated evolution mechanisms SMWs Yellow River Basin, utilizing buffer zones, overlay analysis, Geodetector model based on Landsat satellite images an open-surface water body dataset from 1990 to 2020. The results revealed that (1) 2020, Basin exhibited overall pattern fluctuation reduction. total area decreased by approximately 1.12 × 105 hm2, with predominant decline occurring 0–1 hm2 1–3 size categories. In terms spatial distribution, Qinghai Gansu significantly, while Inner Mongolia, Henan, Shandong gradually increased. (2) From were mostly converted into grassland cropland, some transformed impervious surface barren, only a percentage other land types basin. (3) alterations influenced factors, interplay exhibiting nonlinear or bilinear enhancement. Among these annual precipitation, elevation, potential evapotranspiration primary natural influencing changes distribution SMWs. On hand, use cover type, gross domestic product (GDP), road distance main anthropogenic factors.
Language: Английский
Citations
2
Journal of Geographical Sciences, Journal Year: 2024, Volume and Issue: 34(11), P. 2263 - 2287
Published: Nov. 1, 2024
Language: Английский
Citations
2
Journal of Hydrology Regional Studies, Journal Year: 2023, Volume and Issue: 50, P. 101541 - 101541
Published: Oct. 5, 2023
The Poyang Lake, which is located on the south bank of middle-lower Yangtze River basin. lake largest freshwater in China, and also a typical floodplain world. spatiotemporal heterogeneity inundation dynamics large system has not been paid enough attention. Based reconstructed high spatial temporal resolution dataset using image fusion model multi-source remote sensing data, this study systematically analyzed Lake- system. It found that within same lake, inundated area frequency different regions (the main region adjacent region) can have asynchronous intra-annual fluctuation opposite inter-annual change trend. This highly related to hydrological complexity lake: relative impacts catchment inflow varies across lake. stage-area relationship at central station along flow direction highest linear correlation, might provide more accurate estimates surface/volume. In addition, highlights importance spatial-temporal data for assessment lakes. All results enrich understanding complex regime lakes are valuable practice water resources management ecological conservation such
Language: Английский
Citations
5
Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1527 - 1527
Published: Sept. 20, 2024
Given global climate change and rapid land cover changes due to human activities, accurately identifying, extracting, monitoring the long-term evolution of wetland resources is profoundly significant, particularly in areas with fragile ecological conditions. Gansu Province, located northwest China, contains all types except coastal wetlands. The complexity its has resulted a lack accurate comprehensive information on changes. Using Province as case study, we employed GEE platform Landsat time-series satellite data, combining high-quality sample datasets feature-optimized multi-source feature sets. random forest algorithm was utilized create classification maps for across eight periods from 1987 2020 at 30 m resolution quantify area type. results showed that mapping method achieved robust results, an average overall accuracy (OA) 96.0% kappa coefficient 0.954 years. marsh type exhibited highest user (UA) producer (PA), 96.4% 95.2%, respectively. Multi-source aggregation optimization effectively improve accuracy. Topographic seasonal features were identified most important extraction, while textural least important. By 2020, total 10,575.49 km2, decrease 4536.86 km2 compared 1987. marshes decreased most, primarily converting into grasslands forests. River, lake, constructed generally increasing trend fluctuations. This study provides technical support protection offers reference mapping, monitoring, sustainable development arid semi-arid regions.
Language: Английский
Citations
1
Wetlands, Journal Year: 2024, Volume and Issue: 44(7)
Published: Sept. 18, 2024
Language: Английский
Citations
1
Forests, Journal Year: 2023, Volume and Issue: 14(10), P. 2053 - 2053
Published: Oct. 13, 2023
China’s forest ecosystem plays a crucial role in carbon sequestration, serving as cornerstone journey toward achieving neutrality by 2060. Yet, previous research primarily emphasized climate change’s influence on neglecting tree species’ suitable area changes. This study combinates the Lund–Potsdam–Jena model (LPJ) and maximum entropy (MaxENT) to reveal coupling impacts of changes aboveground biomass (ABC) China. Key findings include following: (1) forests are distributed unevenly, with northeastern (temperate coniferous broad-leaved mixed forest, TCBMF), southwestern, southeastern regions (subtropical evergreen SEBF) primary hubs. Notably, ABC rates TCBMF exhibited worrisome decline, whereas those SEBF showed an increasing trend from 1993 2012 based satellite observation LPJ simulation. (2) Under different future scenarios, is projected decline steadily 2015 2060, SSP5-8.5 scenario recording greatest (−4.6 Mg/ha/10a). Conversely, expected increase under all scenarios (2015–2060), peaking at 1.3 Mg/ha/10a SSP5-8.5. (3) Changes highly attributed area. By for Larix gmelinii will significantly reduce peak 65.71 × 104 km2 SSP5-8.5, while Schima superba Gardner & Champ Camphora officinarum expand peaks 94.07 104.22 km2, respectively. The geographic detector’s results indicated that bi-variate nonlinear enhanced effects change. These would offer effective strategies neutrality.
Language: Английский
Citations
1
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Feb. 7, 2024
Abstract Context Wetlands persistently diminish due to their own vulnerability, along with the combined impact of changes in ecological surroundings and interference from anthropogenic interventions. Comprehending driving mechanisms wetland is crucial for conservation. Objectives This research seeks analyze dynamic change characteristics wetlands Hefei. The objective establish a framework urban-rural gradient analysis, exploring interventions factors, as well interactions, on dynamics across different regions. Methods In this research, an was defined utilizing clustering indicator derived composition configuration land use. optimal parameters-based geographical detector (OPGD) performed quantitative statistical analysis forces behind under urban–rural gradients. Results results indicate that: (1) From 1990 2020, area exhibited ongoing diminishing tendency. (2) can be classified into four categories: urban, agricultural village, semi-ecological village. (3) factors vary types most significant influencing each type region during periods are cropland proportion, impervious surface, OC, silt, GDP. (4) Interactions among generally exhibit stronger explanatory power. Conclusions reveal that underlie information supports development more targeted restoration protection plans, contributing improved synergy between urban rural conservation efforts.
Language: Английский
Citations
0