Unifying the concepts of stability and resilience in ecology

Journal of Ecology, Год журнала: 2021, Номер 109(9), С. 3114 - 3132

Опубликована: Март 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.

Язык: Английский

---

Ecological resilience: what to measure and how

Environmental Research Letters, Год журнала: 2022, Номер 17(4), С. 043003 - 043003

Опубликована: Фев. 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.

Язык: Английский

---

Soil biodiversity supports the delivery of multiple ecosystem functions in urban greenspaces

Nature Ecology & Evolution, Год журнала: 2023, Номер 7(1), С. 113 - 126

Опубликована: Янв. 9, 2023

Язык: Английский

---

Resolving Food-Web Structure

Annual Review of Ecology Evolution and Systematics, Год журнала: 2020, Номер 51(1), С. 55 - 80

Опубликована: Июль 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.

Язык: Английский

---

A roadmap towards predicting species interaction networks (across space and time)

Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2021, Номер 376(1837), С. 20210063 - 20210063

Опубликована: Сен. 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'.

Язык: Английский

---

Spatiotemporal dynamics and driving mechanism of arable ecosystem stability in arid and semi-arid areas based on Pressure-Buffer-Response process

Journal of Cleaner Production, Год журнала: 2023, Номер 421, С. 138553 - 138553

Опубликована: Авг. 23, 2023

Язык: Английский

---

Nonlinear trade-off relationship and critical threshold between ecosystem services and climate resilience for sustainable urban development

Sustainable Cities and Society, Год журнала: 2024, Номер 103, С. 105253 - 105253

Опубликована: Фев. 11, 2024

Язык: Английский

---

Constructing cropland ecological stability assessment method based on disturbance-resistance-response processes and classifying cropland ecological types

The Science of The Total Environment, Год журнала: 2024, Номер 930, С. 172673 - 172673

Опубликована: Апрель 25, 2024

Язык: Английский

---

Testate Amoeba Functional Traits and Their Use in Paleoecology

Frontiers in Ecology and Evolution, Год журнала: 2020, Номер 8

Опубликована: Окт. 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.

Язык: Английский

---

Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

Environmental Microbiome, Год журнала: 2021, Номер 16(1)

Опубликована: Ноя. 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.

Язык: Английский

---