How the choice of model calibration procedure affects projections of lake surface water temperatures for future climatic conditions DOI
Jarosław J. Napiórkowski,

A. Piotrowski,

Marzena Osuch

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133236 - 133236

Published: April 1, 2025

Language: Английский

Disruption of ecological networks in lakes by climate change and nutrient fluctuations DOI Creative Commons
Ewa Merz, Erik Saberski, Luis J. Gilarranz

et al.

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

54

Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects DOI Creative Commons
Sebastiano Piccolroaz, Senlin Zhu, Robert Ladwig

et al.

Reviews 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

45

The impact of extreme heat on lake warming in China DOI Creative Commons
Weijia Wang, Kun� Shi, Xiwen Wang

et al.

Nature 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

25

Potential synergy of microplastics and nitrogen enrichment on plant holobionts in wetland ecosystems DOI
Michael Opoku Adomako, Jing Wu,

Ying Lu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 915, P. 170160 - 170160

Published: Jan. 18, 2024

Language: Английский

Citations

17

Key traits in functional trait networks can identify the temporal structure of fish communities in coastal waters DOI Creative Commons
Jianyu Zou,

Xiaozhuang Zhang,

Yupeng Ji

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103017 - 103017

Published: Jan. 1, 2025

Language: Английский

Citations

1

Distinct phytoplankton size classes respond differently to biotic and abiotic factors DOI Creative Commons

Stefanie Eyring,

Ewa Merz, Marta Reyes

et al.

ISME 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

1

Amphibian conservation in Europe: the importance of pond condition DOI Creative Commons
Alejandro López‐de Sancha,

D. Boix,

Lluís Benejam

et al.

Biodiversity and Conservation, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Language: Английский

Citations

1

Identifying and optimizing ecological spatial patterns based on the bird distribution in the Yellow River Basin, China DOI

Chenglong Xu,

Qiang Yu, Fei Wang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119293 - 119293

Published: Oct. 10, 2023

Language: Английский

Citations

21

Carbon farming, overestimated negative emissions and the limits to emissions trading in land-use governance: the EU carbon removal certification proposal DOI Creative Commons

Philipp Günther,

Beatrice Garske, Katharine Heyl

et al.

Environmental 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

8

Thermal Response of Large Seasonally Ice‐Covered Lakes Over Tibetan Plateau to Climate Change DOI
Yang Wu, Anning Huang, Xin Li

et al.

Journal 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