Sediment DNA Records the Critical Transition of Bacterial Communities in the Arid Lake DOI Creative Commons
Yang Hu, Jian Cai, Y. X. Song

et al.

Microbial Ecology, Journal Year: 2024, Volume and Issue: 87(1)

Published: May 9, 2024

Abstract It is necessary to predict the critical transition of lake ecosystems due their abrupt, non-linear effects on social-economic systems. Given promising application paleolimnological archives tracking historical changes ecosystems, it speculated that they can also record lake’s transition. We studied Lake Dali-Nor in arid region Inner Mongolia because profound shrinking experienced between 1300 s and 1600 s. reconstructed succession bacterial communities from a 140-cm-long sediment core at 4-cm intervals detected Our results showed trajectory 1200 2010s was divided into two alternative states: state1 state2 1400 2010s. Furthermore, late s, appearance tipping point slowing down implied existence By using multi-decadal time series sedimentary core, with general Lotka-Volterra model simulations, local stability analysis found were most unstable as approached transition, suggesting collapse triggers community shift an equilibrium state another state. harbored strongest antagonistic mutualistic interactions, which may imply detrimental role interaction strength stability. Collectively, our study DNA be used detect ecosystems.

Language: Английский

Shift in algal blooms from micro‐ to macroalgae around China with increasing eutrophication and climate change DOI
Yuan Feng,

Yonglong Xiong,

Jason M. Hall‐Spencer

et al.

Global Change Biology, Journal Year: 2023, Volume and Issue: 30(1)

Published: Nov. 8, 2023

Abstract Blooms of microalgal red tides and macroalgae (e.g., green golden caused by Ulva Sargassum ) have widespread problems around China in recent years, but there is uncertainty what triggers these blooms how they interact. Here, we use 30 years monitoring data to help answer questions, focusing on the four main species microalgae Prorocentrum donghaiense , Karenia mikimotoi Noctiluca scintillans Skeletonema costatum associated with region. The frequency increased from 1991 2003 then decreased until 2020, S. exhibiting highest rate decrease. Green started occur 1999 has since been increase. Golden were first reported 2012. macroalgal a negative linear relationship coverage China, positive correlation total nitrogen phosphorus loads as well atmospheric CO 2 sea surface temperature (SST). Increased outbreaks are very likely due worsening levels eutrophication, combined rising SST, which contribute reduced tides. increasing grazing microzooplankton also results decline areas affected This study shows clear shift algal over past driven combination climate change, stress, indicating fundamental change coastal systems

Language: Английский

Citations

61
Global biogeography of microbes driving ocean ecological status under climate change DOI Creative Commons
Zhenyan Zhang, Qi Zhang, Bingfeng Chen

et al.

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

Published: May 31, 2024

Abstract Microbial communities play a crucial role in ocean ecology and global biogeochemical processes. However, understanding the intricate interactions among diversity, taxonomical composition, functional traits, how these factors respond to climate change remains significant challenge. Here, we propose seven distinct ecological statuses by systematically considering structure, potential of microbiome delineate their biogeography. Anthropogenic is expected alter status surface influencing environmental conditions, particularly nutrient oxygen contents. Our predictive model, which utilizes machine learning, indicates that approximately 32.44% may undergo changes from present end this century, assuming no policy interventions. These mainly include poleward shifts main taxa, increases photosynthetic carbon fixation decreases metabolism. proportion can decrease significantly with effective control greenhouse gas emissions. study underscores urgent necessity for implementing policies mitigate change, an perspective.

Language: Английский

Citations

10
Predicting the binding configuration and release potential of heavy metals on iron (oxyhydr)oxides: A machine learning study on EXAFS DOI

Junqin Liu,

Jiang Zhao,

Jiapan Du

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 468, P. 133797 - 133797

Published: Feb. 15, 2024

Language: Английский

Citations

9
Machine learning coupled structure mining method visualizes the impact of multiple drivers on ambient ozone DOI Creative Commons
Xu Han, Haofei Yu, Bo Xu

et al.

Communications Earth & Environment, Journal Year: 2023, Volume and Issue: 4(1)

Published: July 20, 2023

Abstract Ground-level ozone affects Earth’s climate and human health. The formation of is a complex process, depending on both atmospheric chemical processes meteorological factors. In this study, machine learning coupled with structure mining analysis was applied to investigate the mechanism in Tianjin, China. results showed isoprene has greatest individual impact local generation, which suggests biogenic emission vegetation contribute significantly native pollution. interaction between nitrogen oxides strongest among precursors, an obvious antagonistic effect them. Reducing active volatile organic compounds more effective for mitigating Visualized network diagram also clearly illustrated impacts multiple drivers formation: isoprene, temperature were key all influencing factors, other (such as relative humidity) could assist collaboratively enhance or suppress formation.

Language: Английский

Citations

18
Twenty-six years of phytoplankton pigments reveal a circumpolar Class Divide around the Southern Ocean DOI Creative Commons
Alexander Hayward, Matthew H. Pinkerton,

Simon W. Wright

et al.

Communications Earth & Environment, Journal Year: 2024, Volume and Issue: 5(1)

Published: Feb. 20, 2024

Abstract Regional taxonomic variation of phytoplankton communities in the Southern Ocean remains largely uncharacterised despite distinct trophic and biogeochemical roles different taxa anthropogenic carbon uptake, processes, as primary source energy for marine ecosystems. Here we analysed 26 years pigment data (14,824 samples between 32°S Antarctic coast) from over 50 voyages (1996 – 2022), using phytoclass software. The analysis confirms that Polar Front (APF) is a circumpolar class boundary, separating haptophyte dominated to north diatom domination chlorophyll south, thereby biological analogue corresponding Biogeochemical Divide. Furthermore, community composition was remarkably similar zones south APF substantial spatial biomass. This characterisation geospatial distribution will contribute improved modelling projection future change ecosystems Ocean.

Language: Английский

Citations

5
Arctic marine ecosystems face increasing climate stress DOI Open Access
Jiban Chandra Deb, Sarah A. Bailey

Environmental Reviews, Journal Year: 2023, Volume and Issue: 31(3), P. 403 - 451

Published: Feb. 1, 2023

Arctic warming is occurring at a much faster rate than in other parts of the globe, with potentially devastating consequences for diverse array species within ecologically and biologically sensitive areas marine region. However, climate change research this region sparse compared to biomes, hindering conservation efforts. In article, we review synthesize available literature understand observed potential impacts on different ecosystems We reviewed 253 articles reporting changes response (225 studies documenting 28 predicted impacts). The revealed that most effort has been concentrated only subset Large Marine Ecosystems (LMEs) (5/18 LMEs), majority LMEs being poorly studied. papers focused mammals (19%) followed by microalgae (17%). A number documented variability planktonic communities (microalgae, macroalgae, zooplankton), resulting alteration ecosystem structure function. Reproductive failure, decline populations, diet composition, behavior, breeding biology were reported sea birds mammals. Further, shifts spatial distribution fishes several studies. This provides persuasive evidence multiple indices are changing, almost all components biotic (from plankton top predators). identify gaps (such as limited inventory biota, robustness data supporting an Ocean scale, suitability assessment species) where future can help quantify advance understanding their adaptive management.

Language: Английский

Citations

12
A new ChatGPT-empowered, easy-to-use machine learning paradigm for environmental science DOI Creative Commons

Haoyuan An,

Xiangyu Li, Yuming Huang

et al.

Eco-Environment & Health, Journal Year: 2024, Volume and Issue: 3(2), P. 131 - 136

Published: Feb. 3, 2024

The quantity and complexity of environmental data show exponential growth in recent years. High-quality big analysis is critical for performing a sophisticated characterization the complex network pollution. Machine learning (ML) has been employed as powerful tool decoupling complexities based on its remarkable fitting ability. Yet, due to knowledge gap across different subjects, ML concepts algorithms have not well-popularized among researchers sustainability. In this context, we introduce new research paradigm-"ChatGPT + Environment", providing an unprecedented chance reduce difficulty using models. For instance, each step involved applying models sustainability, including preparation, model selection construction, training evaluation, hyper-parameter optimization, can be easily performed with guidance from ChatGPT. We also discuss challenges limitations paradigm field Furthermore, highlight importance "secondary training" future application "ChatGPT Environment".

Language: Английский

Citations

4
The coupling relationship between marine industry agglomeration and ecological environment system from the perspective of ecological environment DOI Creative Commons
Huang Yang,

Xiaoxue Zhao

Journal of Sea Research, Journal Year: 2024, Volume and Issue: 198, P. 102485 - 102485

Published: March 7, 2024

To analyze the coupling relationship in marine industry agglomeration and ecological environment system, this study used formula of location entropy coefficient for measuring development status industry. Meanwhile, it also separately measures degree primary, secondary, tertiary industries ocean to reveal their region. In addition, a coupled correlation analysis model was designed. It uses grey relational relationships between data series situations insufficient data. Finally, coordination evaluation proposed. evaluates cluster by calculating capacity coefficient, degree, co scheduling. The results show that from 2013 2022, trend Jiaodong Peninsula Province has undergone different changes. primary increased 1.3047 1.0987, while secondary gradually 0.2486 1.1141. R system 0.3986 0.6253. From 2018 increased, moving towards stability coordination. This indicates over past decade, placed greater emphasis on protection, formed positive interaction, promoting coordinated development.

Language: Английский

Citations

4
Multiple anthropogenic environmental stressors structure soil bacterial diversity and community network DOI

Mochen Wu,

Siyuan Xie,

Jingxi Zang

et al.

Soil Biology and Biochemistry, Journal Year: 2024, Volume and Issue: 198, P. 109560 - 109560

Published: Aug. 23, 2024

Language: Английский

Citations

4
Marine organic aerosol at Mace Head: effects from phytoplankton and source region variability DOI Creative Commons
Emmanuel Chevassus, Kirsten N. Fossum, Darius Čeburnis

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(7), P. 4107 - 4129

Published: April 10, 2025

Abstract. Organic aerosol (OA) is recognized as a significant component of particulate matter (PM), yet their specific composition and sources, especially over remote areas, remain elusive due to the overall scarcity high-resolution online data. In this study, positive matrix factorization was performed on organic mass spectra obtained from time-of-flight spectrometer (HR-ToF-AMS) measurements resolve sources contributing coastal PM. The focus summertime period marked by enhanced biological productivity with prevailing pristine maritime conditions. Four OA factors were deconvolved source apportionment model. analysis revealed primary marine (PMOA) predominant submicron at Mace Head during summertime, accounting for 42 % total resolved mass. This trailed more oxidized oxygenated (MO-OOA) 32 %, methanesulfonic acid (MSA-OA) 17 locally emitted peat-derived (peat-OA) 9 Elemental ratios (O:C–H:C) derived each these factors: PMOA (0.66–1.16), MO-OOA (0.78–1.39), MSA-OA (0.66–1.39), peat-OA (0.43–1.34). O:C–H:C range hints aliphatic lignin-like compounds formation. concentrations secondary equal almost exclusively present in boundary layer, agreement previous findings. study reveals that not only reflects atmospheric chemistry meteorology – evidenced ageing polar air masses North Atlantic, driven ozonolysis under Greenland anticyclonic conditions but also serves an indicator ecosystems. evident being notably associated stress enzyme markers showing typical makeup largely abacterial phytoplankton extracellular metabolic processes. distinct regions within Atlantic factors. primarily Iceland Basin, rapid production following coccolithophore blooms (lag 1–2 d), while diatoms contribute slower formation process reflecting oceanic contrast, sourced variable ecoregions, including southern Celtic Sea, western European Newfoundland additional contributions chlorophytes cyanobacteria southerly latitudes. Overall, findings emphasize need longer-term investigations further map influence taxa variability broader impacts aerosol–climate interactions.

Language: Английский

Citations

0