Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122608 - 122608
Published: Oct. 10, 2024
Language: Английский
Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122608 - 122608
Published: Oct. 10, 2024
Language: Английский
Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)
Published: March 23, 2024
Abstract Wetlands play a key role in maintaining ecological balance and climate regulation. However, due to the complex variable spectral characteristics of wetlands, there are no publicly available global 30-meter time-series wetland dynamic datasets at present. In this study, we present novel 30 m annual maps (GWL_FCS30D) using Landsat imagery on Google Earth Engine platform, covering period 2000–2022 containing eight subcategories. Specifically, make full use our prior globally distributed training sample pool, adopt local adaptive classification spatiotemporal consistency checking algorithm generate maps. The GWL_FCS30D were found achieve an overall accuracy Kappa coefficient 86.95 ± 0.44% 0.822, respectively, 2020, show great temporal variability United States European Union. We expect dataset would provide vital support for ecosystems protection sustainable development.
Language: Английский
Citations
16Global Change Biology, Journal Year: 2023, Volume and Issue: 29(21), P. 6139 - 6156
Published: Aug. 28, 2023
Abstract Robust estimates of wetland soil organic carbon (SOC) pools are critical to understanding dynamics in the global cycle. However, previous were highly variable and uncertain, due likely data sources method used. Here we used machine learning estimate SOC storage their changes over time China's wetlands based on density database, associated geospatial environmental data, recently published maps. We built a database China that contains 809 samples from 181 studies collected last 20 years as presented literature. All extended standardized 1‐m depth, basis relationship between profiles different depths. three methods evaluate robustness estimating China. The results indicated random forest model achieved accurate estimation with R 2 being .65. showed average top 1 m was 25.03 ± 3.11 kg C −2 2000 26.57 3.73 2020, an increase 6.15%. change 4.73 0.58 Pg 4.35 0.61 decrease 8.03%, 13.6% decreased area 189.12 × 10 3 162.8 km despite during same period. accumulation rate 107.5 12.4 g year −1 since no changes. Climate caused variations density, future warming drying climate would lead decreases storage. Estimates under Shared Socioeconomic Pathway 1‐2.6 (low‐carbon emissions) suggested not significantly by 2100, but 5‐8.5 (high‐carbon emissions), it approximately 5.77%. In this study, optimized aspects, including sample extent, method. Our study indicates importance using consistent extent projecting
Language: Английский
Citations
31Agriculture Ecosystems & Environment, Journal Year: 2023, Volume and Issue: 348, P. 108405 - 108405
Published: Feb. 21, 2023
Language: Английский
Citations
28Water Research, Journal Year: 2024, Volume and Issue: 260, P. 121946 - 121946
Published: June 14, 2024
Language: Английский
Citations
14CATENA, Journal Year: 2024, Volume and Issue: 238, P. 107870 - 107870
Published: Feb. 9, 2024
Language: Английский
Citations
10National Science Review, Journal Year: 2024, Volume and Issue: 11(11)
Published: May 20, 2024
ABSTRACT The established paradigm assumes that drainage may decrease the vast soil organic carbon (SOC) reservoir in global wetlands. Yet can also promote SOC stabilization by fostering accrual of metal-bound (bound OC) upon oxygen exposure. Here, this emergent mechanism is tested for first time at a regional scale, using literature data and nationwide, pairwise survey drained wetlands across China. We show long-term (15–55 years) largely increased metallic protection OC%) non-Sphagnum wetlands, but consistently decreased bound OC% Sphagnum following replacement ‘rust engineer’ herbaceous plants. Improved stock estimates based on 66 profiles reveal OC increases compensate loss unbound components with substantial reactive metals. Metallic wetland hence widespread overlooked heavily influenced vegetational shifts. Incorporating novel into models will improve prediction dynamics under shifting hydrological regimes.
Language: Английский
Citations
10Global Change Biology, Journal Year: 2025, Volume and Issue: 31(1)
Published: Jan. 1, 2025
ABSTRACT Coastal wetlands contain very large carbon (C) stocks—termed as blue C—and their management has emerged a promising nature‐based solution for climate adaptation and mitigation. The interactions among sources, pools, molecular compositions of soil organic C (SOC) within ecosystems (BCEs) remain elusive. Here, we explore these along an 18,000 km long coastal line salt marshes, mangroves, seagrasses in China. We found that mineral‐associated (MAOC) is enriched BCEs dominated by allochthonous inputs abundant active minerals, leading to increased proportion persistent molecules. Specifically, soils with (> 50%) are characterized substantial contribution MAOC 70%) total SOC notable preservation lipids (36%) across seagrasses. burial particles, derived from external sources such rivers or tidal influxes, facilitates the formation stable through binding mineral surfaces occlusion microaggregates. proportions particulate (POC) important predictors matter. Lipid composition decrease POC autochthonous increase. These findings provide new insights into coupled control over sequestration BCEs, emphasizing role inputs, components.
Language: Английский
Citations
1Water Research, Journal Year: 2023, Volume and Issue: 249, P. 120943 - 120943
Published: Nov. 29, 2023
Language: Английский
Citations
22The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 890, P. 164206 - 164206
Published: May 15, 2023
Language: Английский
Citations
20Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 338, P. 117813 - 117813
Published: March 28, 2023
Language: Английский
Citations
16