Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133236 - 133236
Published: April 1, 2025
Language: Английский
Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133236 - 133236
Published: April 1, 2025
Language: Английский
Nature Climate Change, Journal Year: 2023, Volume and Issue: 13(4), P. 389 - 396
Published: March 23, 2023
Climate change interacts with local processes to threaten biodiversity by disrupting the complex network of ecological interactions. While changes in interactions drastically affect ecosystems, how networks respond climate change, particular warming and nutrient supply fluctuations, is largely unknown. Here, using an equation-free modelling approach on monthly plankton community data ten Swiss lakes, we show that number strength fluctuate nonlinearly water temperature phosphorus. lakes system-specific responses, generally reduces interactions, particularly under high phosphate levels. This reorganization shifts trophic control food webs, leading consumers being controlled resources. Small grazers cyanobacteria emerge as sensitive indicators networks. By exposing outcomes a interplay between environmental drivers, our results provide tools for studying advancing understanding impacts entire communities.
Language: Английский
Citations
54Reviews of Geophysics, Journal Year: 2024, Volume and Issue: 62(1)
Published: Feb. 11, 2024
Abstract Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the impacts of future change lake and related processes, use mathematical models is essential. In this study, we provide a comprehensive review water temperature modeling. We begin discussing physical concepts that regulate in lakes, which serve as primer for description process‐based models. then an overview different sources observational data, including situ monitoring satellite Earth observations, used field classify various available, discuss model performance, commonly performance metrics optimization methods. Finally, analyze emerging modeling approaches, forecasting, digital twins, combining deep learning, evaluating structural differences through ensemble modeling, adapted management, coupling This aimed at diverse group professionals working fields limnology hydrology, ecologists, biologists, physicists, engineers, remote sensing researchers from private public sectors who are interested understanding its applications.
Language: Английский
Citations
45Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)
Published: Jan. 2, 2024
Global lake ecosystems are subjected to an increased occurrence of heat extremes, yet their impact on warming remains poorly understood. In this study, we employed a hybrid physically-based/statistical model assess the contribution extremes variations in surface water temperature 2260 lakes China from 1985 2022. Our study indicates that increasing at rate about 2.08 days/decade and intensity 0.03 °C/ day·decade China. The decreases 0.16 °C/decade 0.13 after removing extremes. Heat exert considerable influence long-term changes, contributing 36.5% trends within studied lakes. Given important mean waters, it is imperative they adequately accounted for climate studies.
Language: Английский
Citations
25The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 915, P. 170160 - 170160
Published: Jan. 18, 2024
Language: Английский
Citations
17Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103017 - 103017
Published: Jan. 1, 2025
Language: Английский
Citations
1ISME Communications, Journal Year: 2025, Volume and Issue: 5(1)
Published: Jan. 1, 2025
Abstract The interplay between abiotic (resource supply, temperature) and biotic (grazing) factors determines growth loss processes in phytoplankton through resource competition trophic interactions, which are mediated by morphological traits like size. Here, we study the relative importance of grazers, water physics, chemistry on daily net accumulation rates (ARs) individual from natural communities, grouped into six size classes circa 10 to 500 μm. Using a Random Forest modelling approach 4 years data lake, find that temperature is generally pivotal control all ARs. At same time, nutrients light important for smallest largest classes. Mesozooplankton abundance key predictor AR small phytoplankton, with microzooplankton being middle-size range. In our data, large have different (seasonal) blooming patterns: forms favoured low grazing, high phosphorus levels. Larger show positive ARs at temperatures (being relatively insensitive zooplankton grazing). These results help us understand opportunities limitations using explain model responses environmental change.
Language: Английский
Citations
1Biodiversity and Conservation, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 12, 2025
Language: Английский
Citations
1Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119293 - 119293
Published: Oct. 10, 2023
Language: Английский
Citations
21Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)
Published: April 10, 2024
Abstract This article conducts a qualitative governance analysis of the European Commission’s 2022 proposal for certification framework carbon removals (CRCF). It highlights potential challenges and legal implications—with specific focus on farming. While Union (EU) acknowledges farming as an important strategy to offset residual emissions, such removal activities are prone reversals models often overestimate their sequestration potential. The CRCF aims account these issues, but shows that may, in part, undermine international climate biodiversity goals set by Paris Agreement Convention Biological Diversity. Key concerns include its failure consider normative hierarchy between emission reductions mandated EU law, introduction temporary crediting system, extensive delegation powers Commission, possibility it may incentivise shifting effects, lack alignment with other environmental policies. Additionally, CRCF’s restrict use credits after increases risk double claiming activities—and open door future integration into EU’s trading scheme, which should be avoided various reasons. As alternative, member states targeted subsidy schemes regulatory instruments navigate effectively.
Language: Английский
Citations
8Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(8)
Published: April 18, 2024
Abstract In this study, a process‐based lake model is used to investigate the influence of climate change on thermodynamics 30 large lakes over Tibetan Plateau (TP). The was driven by atmospheric forcing derived from bias‐corrected projections three global models in twenty‐first century under Shared Socioeconomic Pathways (SSPs). hindcasts during 2000–2014 can reasonably capture seasonality and magnitude satellite retrieved surface temperature (LST). Future 2015–2100 suggest widespread increased LST, declined ice cover, prolonged stratification, with severity changes line driver shifts different SSPs. Under scenario highest level anthropogenic radiative (SSP5‐8.5), end‐of‐century (2086–2100) thickness, stratification duration averaged across all studied reach 4.90°C, −0.43 m, 65.46 days, respectively. Note that positive ice‐albedo feedback cause excess warming accelerating break‐up (30.07 days earlier) onset (46.83 earlier). By end century, more frequent, multi‐seasonal thermal extremes are anticipated push nearly half into permanent heatwave state. Together remarkable LST increase winter loss, will mix less frequently may shift dimictic warm monomict mixing regime. Hopefully, irreversible be avoided if controlled within envelope outlined stringent mitigation SSP1‐2.6.
Language: Английский
Citations
7