Integrating ecological feedbacks across scales and levels of organization DOI
Benôıt Pichon, Sonia Kéfi, Nicolas Loeuille

et al.

Published: Oct. 26, 2023

In ecosystems, species interact in various ways with other species, and their local environment. addition, ecosystems are coupled space by diverse types of flows. From these links connecting different ecological entities can emerge circular pathways indirect effects: feedback loops. This contributes to creating a nested set feedbacks operating at organizational levels as well spatial temporal scales systems: modifying being affected abiotic environment, demographic behavioral within populations communities, occurring the landscape scale. Here, we review how vary time, discuss emergent properties they generate such coexistence or heterogeneity stability systems. With aim identifying similarities across scales, identify biotic modulators that change sign strength loops show time. Our shows despite acting emerging from processes, similar macroscopic systems organization. Ultimately, our contribution emphasizes need integrate improve understanding joint effects on dynamics, patterns,

Language: Английский

Towards closer integration between ecology and evolution DOI Creative Commons
Philippe Jarne, Gilles Pinay

Ecology Letters, Journal Year: 2023, Volume and Issue: 26(S1)

Published: Sept. 1, 2023

Developing deeper links between ecology and evolution is not a new idea has been advocating since at least the 1950s (Futuyma, 1986), but most 20th-century attempts can be considered more as rapprochement than actual integration (Huneman, 2019 for detailed historical review). However, based on early isolated insights (e.g. Antonovics, 1976; Pimentel, 1961), revivified over last two decades, around concepts of eco-evolutionary dynamics feedbacks (Hendry, 2017). Significant efforts have indeed made to percolate ideas fields, especially across biodiversity levels Hendry, 2017; Leibold & Chase, Loreau, 2010; Vellend, 2016), even if (i) done population community level higher ecological organization including ecosystem functioning) (ii) analyses reciprocal remain rare compared mainstream research in either field. The number studies claiming ‘eco–evo’ risen sharply (Bassar et al., 2021), these actually represent classical ‘eco’ or ‘evo’ approaches, raising question what eco–evo really is. definition proposed by Bassar al. (2021; see also 2017, chapter 1) may serve baseline, built assumption that evolutionary processes occur same timescales because this allows true (EED) feedbacks. Fast global change temperature increase; IPCC, 2023) leading enhanced selective pressure certainly good reason considering such EED, highlighting fact fast match environmental (and loss; Diaz Malhi, 2022). From definition, debate must) develop integrate concepts, practices into special issue (general outline Figure 1), revivifying several themes: first relies itself, with all (from molecule biomes), branches tree life, some overlooked aspects variability. other themes are concerned extending temporal implicitly spatial) frame which unfolds, full range forces acting biodiversity, lastly revisiting models. Rather commenting sequentially each paper issue, we chosen summary gather suggestions presented themes—all so articles contribute multiple (Figure 1). They order importance, although papers offer general perspectives others. Of course, does exhaust field possibilities. Each suggests avenues further research, mention (Conclusion) additional directions here, worth exploring. Biodiversity classically hierarchically from molecules ecosystems (or biomes). While somewhat caricature, there truth view penetrance theory much stronger smallest entities (genes, populations), while theories generally complex (communities, ecosystems) (see top left part connected multifarious selection, predation, variable environments), EED play role feedback 2010). This strong incentive consider levels. A entry Yamamichi, Letten, Schreiber (2023) who conduct an analysis models genetics following approach advocated Vellend (2016): clear parallels between, example, selection competition gene flow dispersal. focus critical temporally fluctuating environments maintaining variation both within among species through EED. Drawing Chesson (2000)'s coexistence, they begin simple lottery model used fields explore how storage effect affects genetic diversity, incrementally complexifying account ‘reality’. pedagogic open beyond example respective drift (Yamamichi, Schreiber, 2023). second entry, Calcagno (2023), simultaneously trophic chains. What constrains their complexity, length, central (Calcagno 2011) envisaged tension top-down predation) habitat-selection effects metacommunity context, space being maintenance 2011). introduce ounce perspective, dispersal rates evolve under mutation pressure; leads longer food chains, depending on, competition-colonization trade-off species. benefit decreases when increasingly Here, only evolves, worthy perspectives, instance descriptions individual phenotypes mean trait value. How itself affect perturbation regime taking aspect reconsider life dealt well To put it bluntly, microbes overlooked, bulk conducted multicellular organisms (Loreau 2023; Martiny point just ‘unfair’, looking world microbial perspective drastically changes meaning dynamics. Indeed, let us imagine would had written before rise organisms: disentangling difficult realm any meaning. concept poorly applies, horizontal transfers common, Operational Taxonomic Units communities separated larger distances macro-organisms (Martiny fundamental differences abundance genotype frequencies therefore blurred. Microbes, no less macro-organisms, respond solutions going rapid broad-scale shifts, up those biogeochemical governing functioning dynamics, implies potential lead indistinct players collectively expressing functional redundancy, should now dig natural fully make sense role. Recent work shown possible quantify evaluate its impact decomposition soils regarding facets variability, species, Variability needed proceed, ecology, particular resilience mechanism unpredictable conditions. Variance key above essentially (Violle 2012). Yet, short analysing variance biology. assessing phenotypic values, might significant Contributing filling gap goal Sanderson compilation means variances measured context changes. Means globally positively correlated, distribution very similar. No patterns emerge different types changes, traits, rendering prediction future trends difficult. conclude still build ambitious datasets wide organisms, link variance, pre-requisite studies. Part due plasticity, here again, plethora (Pfennig, 2021). plasticity propagating networks remains evaluated. Gómez specifically contributes expand shift interaction niche, cause colonization niches. topology rewired, empirical evaluation metrics nestedness modularity. That various characteristics confronted perturbations, resistance invasions, interesting (Gómez Whether defined network scale submitted contentious. specify drive cases. Perhaps, stoichiometry variability (El-Sabaawi 2023)—ecological relative supply demand essential elements, carbon, nitrogen phosphorus, influence biological interactions (Elser 2000). It contributed largely our understanding (Van de Waal 2018), El-Sabaawi propose organismal access understudied phenotype. ‘elemental phenotype’ integrates body elemental content, elements acquired, assimilated, allocated released exhibits intraspecific variation, pressures. Beyond providing direct biology fluxes matter ecosystems, opens connections notion traits (Loranger integrators 2017), whole resource allocation (Charnov, 1993; Stearns, 1992). includes well, therefore, cascading (2021) argued genuine eco-evo unfold proceed timescale. assumed were focused ongoing processes. Fronhofer enlarge picture timescale systems two-dimensional space—the axes representing respectively speed In framework, sensu stricto redefined regard More importantly, states 1 whenever modulators modify rates—such factors external temperature) internal them influenced factors). rate synchronize evolution. framework extends Hutchinson (1965)'s analogy (the theatre play): time interacting players. (2023)'s proposal undermines usual ‘slow evolution/fast ecology' wisdom served decades ‘good reason’ together. calls reconsidering ‘time-scale separation’ based, adaptive considers weak assumes slower facilitate Lion modelling—oligomorphic dynamics—by (2023, below) way overcoming problem addressing scales few generations quantitative offer. contribution, doubt, predicting change. Ellner, Hairston argue too often reduced set (i.e. negligible variances, large variables; discuss deepened, insisting drift. For know deleterious mutations populations extinction (mutational meltdown; Lynch 1995), sorted out understand ‘evolution save’ drives down demography (evolutionary rescue). emphasis directional balancing enough disruptive Assuming similar speeds lineage diversification fusing after diversification) affected short- long-term, microevolution macroevolution As mentioned above, effect; considered. introduced provide umbrella term EDD Kim another, applied, angle attack, arguably contentious is, use technology genes interest populations. argument simple: spread many processes, situations where selection. describe accounted studies, structure side side. economic release technologies laboratory better manage associated risks. Considering previous section Hairston, call We already saw conceptual gain derived possibility food-chain length 2023), analogous perhaps opening door major theoretical approaches evolution, namely (AD) (QG). simplified presentation, QG normal distribution, AD results bivariate distributions. get rid Gaussian straitjacket drawing Sasaki Dieckmann (2011), ‘oligomorphic dynamics’—the basic decompose multimodal sum narrow unimodal distributions, peak corresponding morph characterized frequency statistical moments elegant approach, developed using models, displays advantages, others dynamical nature variance. take regulation frequency- density-dependent induced suggest tighter data. Much exciting perspective! Advances could come judicious extension Nosil (2021)) suggested resilience, borrowed (Holling, 1973), fruitfully analyse stability systems. Loreau go showing adaptation, typically theory, generalize adaptation process improved performance response multilevel hierarchical perspective. idea, measure (fitness parlance) connection group multi-level relevant unicellular given blurred boundaries border vast domain, course did fully. sketch pursued. First, technological tools omics sensors/probes) biologists ecologists serving common objects dialogue communities. Although covered explicitly runs issue. Second, fitness currency energy parts ecology. abstract frameworks (entropy) Frank, 2009). Brown (2018), connecting use, environment, evaluation, pursued Third, micro-organisms interactive interfaces encapsulated holobiont (Simon 2019). Both paradigms required echoes contributions (2010) transmission units. Last, least, management harness (Sarrazin Leconte, current problems hope future. authors drafted wrote manuscript. thank E. Fronhofer, M. Gessner, L. Govaert, P. Huneman, Leibold, J. Martiny, S. Puijalon, Vandenkoornhuyse F. Viard stimulating discussions framing Thrall comments authors’ supported CNRS Institute Ecology Environment. PJ co-authored three Letters. Irrelevant.

Language: Английский

Citations

2

Revisiting the geomorphological‐biological divide: An introspective biogeomorphological perspective DOI
Dov Corenblit, Bruno Corbara, Kevin N. Laland

et al.

Earth Surface Processes and Landforms, Journal Year: 2023, Volume and Issue: 49(1), P. 197 - 209

Published: Nov. 3, 2023

Abstract We suggest that biogeomorphology should challenge the traditional dichotomy between living and non‐living components of Earth surface systems. To achieve this, biogeomorphologists gain a better understanding eco‐evolutionary models empirical findings developing at interface ecology evolutionary biology. Eco‐evolutionary explore feedback loops genes, organisms physical or biological outside organism's body. This changes our how interact with their environment functional significance biologically induced landforms. In niche construction framework, genes can be conceived as foundational units selection inheritance, everything beyond this unit considered ‘environment’ for gene expression, either packaged within unpackaged organism. Both environments influenced by manufactured organisms, respectively, in form phenotypes constructions. propose biomineralized structures, such bones, osteoderms, antlers shells, which varying degrees an organism, well external products termite mounds, are periphery gradient variation relative dominance integration biotic abiotic ecosystems. A more explicit consideration interrelationships transcending boundaries promote re‐evaluation geomorphological entities.

Language: Английский

Citations

2

Eco-evolutionary dynamics in changing environments: integrating theory with data DOI

Louise Fouqueau,

Jitka Polechová

Journal of Evolutionary Biology, Journal Year: 2024, Volume and Issue: 37(6), P. 579 - 587

Published: June 1, 2024

Language: Английский

Citations

0

A time scale measurement method for dynamic temporal networks DOI

M.R. Wu,

Shengwen Yang,

Yanjun Ye

et al.

Physica A Statistical Mechanics and its Applications, Journal Year: 2024, Volume and Issue: unknown, P. 130243 - 130243

Published: Nov. 1, 2024

Language: Английский

Citations

0

Eco-evolutionary dynamics for finite populations and the noise-induced reversal of selection DOI Creative Commons
Ananda Shikhara Bhat, Vishwesha Guttal

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 21, 2024

Theoretical studies from diverse areas of population biology have shown that demographic stochasticity can substantially impact evolutionary dynamics in finite populations, including scenarios where traits are disfavored by natural selection nevertheless increase frequency through the course evolution. Here, we analytically describe eco-evolutionary populations first principles to investigate how noise-induced effects alter fate which total size may vary stochastically over time. Starting a generic birth-death process describing individuals with discrete traits, derive set stochastic differential equations (SDEs) recover well-known descriptions such as replicator-mutator equation, Price and Fisher's fundamental theorem infinite limit. For our SDEs reveal predictably bias trajectories favour certain phenomenon call 'noise-induced biasing'. We show biasing acts two distinct mechanisms `direct' `indirect' mechanisms. While direct mechanism be identified classic bet-hedging theory, indirect is more subtle consequence density-dependent stochasticity. Our lead evolution proceeding direction opposite predicted By extending generalizing some standard genetics, thus appears alongside interacts well-understood forces neutral drift determine non-constant size.

Language: Английский

Citations

0

Evolvability maps an adaptable research paradigm DOI Creative Commons
Matheus Januario

Evolution, Journal Year: 2024, Volume and Issue: 78(8), P. 1517 - 1520

Published: May 20, 2024

Citations

0

Temporal Changes in the Role of Species Sorting and Evolution Determine Community Dynamics DOI Creative Commons
Julius Hoffmann, Shane Hogle, Teppo Hiltunen

et al.

Ecology Letters, Journal Year: 2024, Volume and Issue: 28(1)

Published: Dec. 31, 2024

Evolutionary change within community members and shifts in species composition via sorting contribute to trait dynamics. However, we do not understand when how both processes Here, estimated the contributions of evolution over time (60 days) bacterial communities 24 under selection by a ciliate predator. We found that contributed increased carrying capacity, while decreased anti-predator defences. The relative roles changed time, our analysis indicates if initial variation was direction selection, prevailed, otherwise drove phenotypic change. Furthermore, composition, population densities genomic were affected match-mismatch combinations predator prey evolutionary history. Overall, findings help integrate ecological structure communities.

Language: Английский

Citations

0

Integrating ecological feedbacks across scales and levels of organization DOI Creative Commons
Benôıt Pichon, Sonia Kéfi, Nicolas Loeuille

et al.

Published: Oct. 20, 2023

In ecosystems, species interact in various ways with other species, and their local environment. addition, ecosystems are coupled space by diverse types of flows. From these links connecting different ecological entities can emerge circular pathways indirect effects: feedback loops. This contributes to creating a nested set feedbacks operating at organizational levels as well spatial temporal scales systems: modifying being affected abiotic environment, demographic behavioral within populations communities, occurring the landscape scale. Here, we review how vary time, discuss emergent properties they generate such coexistence or heterogeneity stability systems. With aim identifying similarities across scales, identify biotic modulators that change sign strength loops show time. Our shows despite acting emerging from processes, similar macroscopic systems organization. Ultimately, our contribution emphasizes need integrate improve understanding joint effects on dynamics, patterns,

Language: Английский

Citations

0

Integrating ecological feedbacks across scales and levels of organization DOI
Benôıt Pichon, Sonia Kéfi, Nicolas Loeuille

et al.

Published: Oct. 26, 2023

In ecosystems, species interact in various ways with other species, and their local environment. addition, ecosystems are coupled space by diverse types of flows. From these links connecting different ecological entities can emerge circular pathways indirect effects: feedback loops. This contributes to creating a nested set feedbacks operating at organizational levels as well spatial temporal scales systems: modifying being affected abiotic environment, demographic behavioral within populations communities, occurring the landscape scale. Here, we review how vary time, discuss emergent properties they generate such coexistence or heterogeneity stability systems. With aim identifying similarities across scales, identify biotic modulators that change sign strength loops show time. Our shows despite acting emerging from processes, similar macroscopic systems organization. Ultimately, our contribution emphasizes need integrate improve understanding joint effects on dynamics, patterns,

Language: Английский

Citations

0