Primary driving factors of ecological environment system change based on directed weighted network illustrating with the Three-River Headwaters Region DOI Creative Commons
Qingqing Zhang, Yu Zhang,

Teng Yu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 916, P. 170055 - 170055

Published: Jan. 15, 2024

The primary driving factors of ecological environment change have received significant attention. However, previous research methods for identifying the main drivers primarily relied on correlation analysis and regression analysis. While these can reveal co-occurrences, associations, correlations among elemental characteristics, they often struggle to uncover deep-seated interactions elements within complex, unstable, nonlinear, high-dimensional systems. To address this, we used Three-River Headwaters Region as a case study introduced complex network model from perspective system investigate change. In our analysis, considered 12 related atmosphere, hydrology, vegetation, soil, including evaporation, long-wave radiation, short-wave specific humidity, soil temperature, precipitation rate, water content, air pressure, vegetation normalization index, wind speed, natural surface runoff. Watersheds were selected fundamental units constructing datasets. We applied Ensemble Empirical Mode Decomposition (EEMD) method Hilbert-Huang Transform (HHT) analyze causal relationships between time series pairs constructed two directed weighted models based sub-catchments. results showed that both yielded consistent conclusions, with sparse exhibiting higher efficiency. Radiation temperature identified ecosystem change, cycle was determined be ultimate manifestation throughout Region. Furthermore, node out-strength, generated protection priority map.

Language: Английский

Unifying the concepts of stability and resilience in ecology DOI Open Access
Koenraad Van Meerbeek, Tommaso Jucker, Jens‐Christian Svenning

et al.

Journal of Ecology, Journal Year: 2021, Volume and Issue: 109(9), P. 3114 - 3132

Published: March 20, 2021

Abstract Characterizing how ecosystems are responding to rapid environmental change has become a major focus of ecological research. The empirical study stability, which aims quantify these ecosystem responses, is therefore more relevant than ever. Based on historical review and bibliometric mapping the field we show that two main schools relating stability—one focusing systems close their equilibrium other non‐equilibrium behaviour—have developed in parallel leading divergence both concepts definitions. We synthesize expand previous frameworks capitalize latest developments build towards an integrated framework by elaborating overarching concept stability its properties. Finally, broad applicability our work demonstrated cases. Synthesis . With rapidly changing conditions, Still, remains source confusion disagreement among ecologists. conceptual presented here provides basis integrate currently diverging views stability.

Language: Английский

Citations

163

Ecological resilience: what to measure and how DOI Creative Commons
Vasilis Dakos, Sonia Kéfi

Environmental Research Letters, Journal Year: 2022, Volume and Issue: 17(4), P. 043003 - 043003

Published: Feb. 22, 2022

Abstract The question of what and how to measure ecological resilience has been troubling ecologists since Holling 1973s seminal paper in which he defined as the ability a system withstand perturbations without shifting different state. This definition moved focus from studying local stability single attractor always converges, idea that may converge states when perturbed. These two concepts have later on led definitions engineering (local stability) vs (non-local metrics. While is associated clear metrics, measuring remained elusive. As result, notions studied largely independently one another although several attempts devoted mapping them together some kind coherent framework, extent they overlap or complement each other quantifying not yet fully understood. In this perspective, we metrics quantify following Holling’s based concept landscape. We explore relationships between derived bistable systems show that, for low dimensional models, correlation can be high. also review current approaches models data, outline challenges which, if answered, could help us make progress toward more reliable quantification practice.

Language: Английский

Citations

128

Soil biodiversity supports the delivery of multiple ecosystem functions in urban greenspaces DOI
Kunkun Fan, Haiyan Chu, David J. Eldridge

et al.

Nature Ecology & Evolution, Journal Year: 2023, Volume and Issue: 7(1), P. 113 - 126

Published: Jan. 9, 2023

Language: Английский

Citations

102

Resolving Food-Web Structure DOI Creative Commons
Robert M. Pringle, Matthew C. Hutchinson

Annual Review of Ecology Evolution and Systematics, Journal Year: 2020, Volume and Issue: 51(1), P. 55 - 80

Published: July 31, 2020

Food webs are a major focus and organizing theme of ecology, but the data used to assemble them deficient. Early debates over food-web focused on taxonomic resolution completeness, lack which had produced spurious inferences. Recent widely believed be much better extensively in theoretical meta-analytic research network ecology. Confidence these rests assumptions ( a) that empiricists correctly identified consumers their foods b) sampling methods were adequate detect near-comprehensive fraction trophic interactions between species. Abundant evidence indicates often invalid, suggesting most topological may remain unreliable for inferences about structure underlying ecological evolutionary processes. Morphologically cryptic species ubiquitous across taxa regions, many routinely evade detection by conventional methods. Molecular have diagnosed severity problems necessary part cure.

Language: Английский

Citations

84

A roadmap towards predicting species interaction networks (across space and time) DOI Open Access
Tanya Strydom, Michael Catchen, Francis Banville

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2021, Volume and Issue: 376(1837), P. 20210063 - 20210063

Published: Sept. 20, 2021

Networks of species interactions underpin numerous ecosystem processes, but comprehensively sampling these is difficult. Interactions intrinsically vary across space and time, given the number that compose ecological communities, it can be tough to distinguish between a true negative (where two never interact) from false have not been observed interacting even though they actually do). Assessing likelihood an imperative for several fields ecology. This means predict species-and describe structure, variation, change networks form-we need rely on modelling tools. Here, we provide proof-of-concept, where show how simple neural network model makes accurate predictions about limited data. We then assess challenges opportunities associated with improving interaction predictions, conceptual roadmap forward towards predictive models explicitly spatial temporal. conclude brief primer relevant methods tools needed start building models, which hope will guide this research programme forward. article part theme issue 'Infectious disease macroecology: parasite diversity dynamics globe'.

Language: Английский

Citations

76

Nonlinear trade-off relationship and critical threshold between ecosystem services and climate resilience for sustainable urban development DOI
Ge Hong, Sijia Liu, Wenping Liu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 103, P. 105253 - 105253

Published: Feb. 11, 2024

Language: Английский

Citations

16

Constructing cropland ecological stability assessment method based on disturbance-resistance-response processes and classifying cropland ecological types DOI
Haoran Gao, Jian Gong,

Teng Ye

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 930, P. 172673 - 172673

Published: April 25, 2024

Language: Английский

Citations

10

Testate Amoeba Functional Traits and Their Use in Paleoecology DOI Creative Commons
Katarzyna Marcisz, Vincent E. J. Jassey, Anush Kosakyan

et al.

Frontiers in Ecology and Evolution, Journal Year: 2020, Volume and Issue: 8

Published: Oct. 20, 2020

This review provides a synthesis of current knowledge on the morphological and functional traits testate amoebae, polyphyletic group protists commonly used as proxies past hydrological changes in paleoecological investigations from peatland, lake sediment soil archives. A trait-based approach to understanding amoebae ecology paleoecology has gained popularity recent years, with research showing that characteristics provide complementary information environmental inferences based (morpho-)species data. We broad overview trait-environment relationships context ecology, evolution, genetics, biogeography, paleoecology. As examples we report upon previous ecological studies approaches, describe key can be improve interpretation studies. also highlight gaps speculate potential future directions for application approaches research.

Language: Английский

Citations

62

Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay DOI Creative Commons
Hualong Wang, Feng Chen,

Chuanlun Zhang

et al.

Environmental Microbiome, Journal Year: 2021, Volume and Issue: 16(1)

Published: Nov. 27, 2021

Abstract Background Annually reoccurring microbial populations with strong spatial and temporal variations have been identified in estuarine environments, especially those long residence time such as the Chesapeake Bay (CB). However, it is unclear how taxa cooccurr inter-taxa networks respond to environmental gradients estuaries. Results Here, we constructed co-occurrence on prokaryotic communities CB, which included seasonal samples from seven stations along salinity for three consecutive years. Our results showed that spatiotemporal of planktonic microbiomes promoted differentiations characteristics stability CB estuary. Prokaryotic exhibited a clear pattern where microbes were more closely connected during warm season compared associations cold season. In addition, stable lower (ocean side) than upper (freshwater side). Multivariate regression tree (MRT) analysis piecewise structural equation modeling (SEM) indicated temperature, total suspended substances nutrient availability, particulate carbon Chl , affected distribution groups, Actinobacteria, Bacteroidetes, Cyanobacteria, Planctomycetes, Proteobacteria, Verrucomicrobia. Interestingly, abundant groups (such SAR11, Saprospiraceae Actinomarinaceae), rare including OM60 (NOR5) clade (Gammaproteobacteria), Micrococcales (Actinobacteria), NS11-12 marine group (Bacteroidetes) contributed greatly Bay. Modularity cluster structures varied spatiotemporally, provided valuable insights into ‘small world’ (a interconnected species), network stability, habitat partitioning/preferences. Conclusion shed light alter ecosystem, well their adaptability disturbances complexity stability.

Language: Английский

Citations

41

Scaling up our understanding of tipping points DOI Open Access
Sonia Kéfi, Camille Saade, Eric L. Berlow

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2022, Volume and Issue: 377(1857)

Published: June 27, 2022

Anthropogenic activities are increasingly affecting ecosystems across the globe. Meanwhile, empirical and theoretical evidence suggest that natural systems can exhibit abrupt collapses in response to incremental increases stressors, sometimes with dramatic ecological economic consequences. These catastrophic shifts faster larger than expected from changes stressors happen once a tipping point is crossed. The primary mechanisms drive ecosystem responses perturbations lie their architecture of relationships, i.e. how species interact each other physical environment spatial structure environment. Nonetheless, existing work on has so far largely focused relatively simple have either few and/or no structure. This laid critical foundation for understanding possible, but it remains difficult predict (let alone manage) where or when they most likely occur more complex real-world settings. Here, we discuss scaling up our investigations complex—species rich spatially structured—systems could contribute expanding nature works improve ability anticipate effects global change systems. article part theme issue ‘Ecological complexity biosphere: next 30 years’.

Language: Английский

Citations

29