Lake-TopoCat: a global lake drainage topology and catchment database DOI Creative Commons
Md. Safat Sikder, Jida Wang, George H. Allen

et al.

Earth system science data, Journal Year: 2023, Volume and Issue: 15(8), P. 3483 - 3511

Published: Aug. 8, 2023

Abstract. Lakes and reservoirs are ubiquitous across global landscapes, functioning as the largest repository of liquid surface freshwater, hotspots carbon cycling, sentinels climate change. Although typically considered lentic (hydrologically stationary) environments, lakes an integral part drainage networks. Through perennial intermittent hydrological connections, often interact with each other, these connections actively affect water mass, quality, energy balances in both lacustrine fluvial systems. Deciphering how hydrologically interconnected (or so-called “lake topology”) is not only important for lake change attribution but also increasingly critical discharge, sediment, modeling. Despite proliferation river hydrography data, remain poorly represented routing models, partially because there has been no global-scale dataset tailored to basins Here, we introduce Lake Topology Catchment database (Lake-TopoCat), which reveals detailed information careful consideration possible multifurcation. Lake-TopoCat contains outlet(s) catchment(s) lake; interconnecting reaches among lakes; a wide suite attributes depicting topology such upstream downstream relationship, distance between lakes, priori type connectivity Using HydroLAKES v1.0 (Messager et al., 2016) mask, identifies ∼ 1.46 million outlets 1.43 larger than 10 ha delineates 77.5×106 km2 catchments covering 57 % Earth's landmass except Antarctica. The by 3 reaches, derived from MERIT Hydro v1.0.1 (Yamazaki 2019), stretching total ∼10×106 km, 80 shorter km. With unprecedented details, contributes towards globally coupled lake–river model. It may facilitate variety limnological applications attributing quality scale basin scale, tracing inter-lake fish migration due changing climate, monitoring fluvial–lacustrine connectivity, improving estimates terrestrial fluxes. freely accessible at https://doi.org/10.5281/zenodo.7916729 (Sikder 2023).

Language: Английский

A new technique for quantifying algal bloom, floating/emergent and submerged vegetation in eutrophic shallow lakes using Landsat imagery DOI
Juhua Luo,

Guigao Ni,

Yunlin Zhang

et al.

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 287, P. 113480 - 113480

Published: Feb. 1, 2023

Language: Английский

Citations

61
Inland Water Greenhouse Gas Budgets for RECCAP2: 1. State‐Of‐The‐Art of Global Scale Assessments DOI
Ronny Lauerwald, George H. Allen, Bridget R. Deemer

et al.

Global Biogeochemical Cycles, Journal Year: 2023, Volume and Issue: 37(5)

Published: April 26, 2023

Abstract Inland waters are important emitters of the greenhouse gasses (GHGs) carbon dioxide (CO 2 ), methane (CH 4 and nitrous oxide (N O) to atmosphere. In framework 2nd phase REgional Carbon Cycle Assessment Processes (RECCAP‐2) initiative, we review state art in estimating inland water GHG budgets at global scale, which has substantially advanced since first RECCAP nearly 10 years ago. The development increasingly sophisticated upscaling techniques, including statistical prediction process‐based models, allows for spatially explicit estimates that needed regionalized assessments continental such as those established RECCAP. A few recent also resolve seasonal and/or interannual variability emissions. Nonetheless, global‐scale assessment emissions remains challenging because limited spatial temporal coverage observations persisting uncertainties abundance distribution surface areas. To decrease these uncertainties, more empirical work on contributions hot‐spots hot‐moments overall is particularly needed.

Language: Английский

Citations

48
Inland Water Greenhouse Gas Budgets for RECCAP2: 2. Regionalization and Homogenization of Estimates DOI Creative Commons
Ronny Lauerwald, George H. Allen, Bridget R. Deemer

et al.

Global Biogeochemical Cycles, Journal Year: 2023, Volume and Issue: 37(5)

Published: April 26, 2023

Abstract Inland waters are important sources of the greenhouse gasses (GHGs) carbon dioxide (CO 2 ), methane (CH 4 ) and nitrous oxide (N O) to atmosphere. In framework second phase REgional Carbon Cycle Assessment Processes (RECCAP‐2) initiative, we synthesize existing estimates GHG emissions from streams, rivers, lakes reservoirs, homogenize them with regard underlying global maps water surface area distribution effects seasonal ice cover. We then produce regionalized over 10 extensive land regions. According our synthesis, inland have a warming potential an equivalent emission 13.5 (9.9–20.1) 8.3 (5.7–12.7) Pg CO ‐eq. yr −1 at 20 100 years horizon (GWP GWP respectively. Contributions dominate , rivers being largest emitter. For equally emitters, CH is more than that . N O about two orders magnitude lower. Normalized RECCAP‐2 regions, S‐America SE‐Asia show highest rates, dominated by riverine emissions.

Language: Английский

Citations

44
Re-estimating China's lake CO2 flux considering spatiotemporal variability DOI Creative Commons
Zhidan Wen, Yingxin Shang, Lili Lyu

et al.

Environmental Science and Ecotechnology, Journal Year: 2023, Volume and Issue: 19, P. 100337 - 100337

Published: Nov. 14, 2023

The spatiotemporal variability of lake partial carbon dioxide pressure (pCO2) introduces uncertainty into CO2 flux estimates at the water-air interface. Knowing variation pattern pCO2 is important for obtaining accurate global estimation. Here we examine seasonal and trophic variations in based on 13 field campaigns conducted Chinese lakes from 2017 to 2021. We found significant fluctuations pCO2, with decreasing values as states intensify within same region. Saline exhibit lower levels than freshwater lakes. These dynamics result variable areal emissions, exhibiting different (oligotrophication > mesotrophication eutrophication) saline differing (-23.1 ± 17.4 vs. 19.3 18.3 mmol m-2 d-1). complicate total emission estimations. Using area proportions varying salinity China, estimate China's 8.07 Tg C yr-1. In future studies, importance accounting salinity, dynamics, must be noticed enhance accuracy large-scale ecosystems context climate change.

Language: Английский

Citations

44
Increased nitrous oxide emissions from global lakes and reservoirs since the pre-industrial era DOI Creative Commons
Ya Li, Hanqin Tian, Yuanzhi Yao

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Jan. 31, 2024

Abstract Lentic systems (lakes and reservoirs) are emission hotpots of nitrous oxide (N 2 O), a potent greenhouse gas; however, this has not been well quantified yet. Here we examine how multiple environmental forcings have affected N O emissions from global lentic since the pre-industrial period. Our results show that emitted 64.6 ± 12.1 Gg O-N yr −1 in 2010s, increased by 126% 1850s. The significance small on mitigating is highlighted due to their substantial rates response terrestrial changes. Incorporated with riverine emissions, study indicates inland waters 2010s was 319.6 58.2 . This suggests factor 0.051% for water relative agricultural nitrogen applications provides country-level factors (ranging 0 0.341%) improving methodology national gas inventories.

Language: Английский

Citations

43
Global lakes are warming slower than surface air temperature due to accelerated evaporation DOI
Yan Tong, Lian Feng, Xinchi Wang

et al.

Nature Water, Journal Year: 2023, Volume and Issue: 1(11), P. 929 - 940

Published: Oct. 23, 2023

Language: Английский

Citations

42
Natural lakes dominate global water storage variability DOI
Nan Xu, Hui Lü, Wenyu Li

et al.

Science Bulletin, Journal Year: 2024, Volume and Issue: 69(8), P. 1016 - 1019

Published: Feb. 23, 2024

Citations

31
Global annual wetland dataset at 30 m with a fine classification system from 2000 to 2022 DOI Creative Commons
Xiao Zhang,

Liangyun Liu,

Tingting Zhao

et al.

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

16
Restoring small water bodies to improve lake and river water quality in China DOI Creative Commons
Wangzheng Shen, Liang Zhang, Emily A. Ury

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 2, 2025

Abstract Climate change, population growth, and agricultural intensification are increasing nitrogen (N) inputs, while driving the loss of inland water bodies that filter excess N. However, interplay between N inputs body dynamics, its implications for quality remain poorly understood. Analyzing data from 1995 to 2015 across China, here, we find a 71% reduction in area small (<10 4.5 m 2 ) (SWB), primarily high-N-input regions. Preferential SWBs, most efficient nutrient filters, places 42% China at high risk due declining SWB density. Currently, removal by is 986 kilotonnes year −1 , but restoring 2.3 million hectares could increase 21%, compared just 5% equivalent restoration large bodies. Targeted crucial improving mitigating pollution China.

Language: Английский

Citations

4
Characterizing soil Cops Eco-risk in China DOI

Yan Li,

Haoran Huang, Ye Li

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 489, P. 137588 - 137588

Published: Feb. 11, 2025

Language: Английский

Citations

2