The Temporal Dynamics of Multiple Stressor Effects: From Individuals to Ecosystems

نویسندگان

چکیده

Multiple anthropogenic stressors rarely overlap in perfect synchrony time, yet most research quantifying how they interact assumes that do.Stressor sequence and the degree of temporal will have implications for ecological memory – influence past on future responses from genes to ecosystems.Adding this complexity, organisms with different generation times experience multiple (and which time) ways.We propose lifespan associated metabolic rates can be used define stressor type (continuous or discrete) focal organisms.Moving forward, we need embrace complexity quantify various realistic asynchronous scenarios alter their cumulative impacts across ecosystems. stressors, such as warming invasions, often occur together nonadditive effects. Most studies date assume operate synchrony, but case reality. Stressor ability responses. Moreover, are usually defined an anthropocentric context: what consider a short-term stressor, flood, span generations microbes. We argue predict individuals whole ecosystem, it is necessary rates, determine timescales at therefore, ultimately, levels organization. Predicting pollution events, warming, novel pathogens, affect natural ecosystems major challenge contemporary ecology. The presence, frequency, magnitude varies over time space, however, independent combined effects individual behavior entire ecosystem processes [1.Ryo M. et al.Basic principles dynamics.Trends Ecol. Evol. 2019; 34: 723-733Abstract Full Text PDF PubMed Scopus (51) Google Scholar]. Here, timing duration both initial recovery particularly critical, least important spatial component has been primary focus date. In particular, dynamics events largely overlooked, critically because rarely, if ever, act order shape impacts. Furthermore, do not effects, since ‘legacy’ previous response its populations) stress. Stressor–response relationships consistent through Time evolutionary adaptation (see Glossary) ‘ecological memory’. former refers relatively well-known process selection generations, where species’ adapt function better face environmental challenges [2.Pawar S. al.From constraints ecosystems.in: Belgrano A. Aquatic Functional Biodiversity: An Ecological Evolutionary Perspective. Academic Press, 2015: 3-36Crossref (31) Scholar,3.Gibert J.P. al.Scaling-up trait variation ecosystems.Adv. Res. 2015; 52: 1-17Crossref (30) latter phenomenon, population, community, [4.Hughes T.P. al.Ecological modifies impact recurrent climate extremes.Nat. Clim. Chang. 9: 40-43Crossref (159) Scholar,5.Ogle K. al.Quantifying plant processes.Ecol. Lett. 18: 221-235Crossref (214) This include acclimation, parental species sorting due stress, including lagged indirect legacy For instance, recent single-stressor study found marine sticklebacks (Gasterosteus aculeatus) exhibit carry-over high CO2 environment, causing offspring perform poorly under conditions differ those experienced by parents (even these new were actually less ‘stressful’) [6.Schade F.M. al.Within- transgenerational ocean acidification life history three-spined stickleback aculeatus).Mar. Biol. 2014; 161: 1667-1676Crossref (49) At wider community level, another demonstrated severe heatwave 2017 corals Great Barrier Reef shaped preceding year Scholar] (i.e., separated space). Impacts also manifest long after itself disappeared, dispersal limitations interactions (e.g., trophic cascades) [7.Essl F. al.Historical legacies accumulate biodiversity era rapid global change.Divers. Distrib. 21: 534-547Crossref (90) lichen diversity remained unchanged 2.5 years adjacent forest clearance, declined further 14 [8.Johansson V. al.Time-lagged extinction retained buffer strips 16.5 clear-cutting.Biol. Conserv. 2018; 225: 53-65Crossref (10) limitations. Another example Nitrogen Cascade, whereby increased soil nitrogen content (from deposition) causes changes composition, then herbivore, subsequently predator, communities [9.Vogels J.J. al.Can biochemistry stoichiometry explain loss animal heathlands?.Biol. 2017; 212: 432-447Crossref (23) These demonstrate our detect impacts: even may still playing out system facing stressors. Despite being increasingly common focused single level (but see [10.Jackson M.C. al.Net freshwater ecosystems: meta-analysis.Glob. 2016; 22: 180-189Crossref (429) Scholar,11.Bracewell al.Qualifying food web structure Dutch drainage ditches using literature review conceptual models.Sci. Total Environ. 684: 727-740Crossref (20) Scholar]), either comparing locations without simple ‘before’ ‘after’ stress states, ignoring oscillations dissipation (Figure 1). Recent reviews discussed importance traits determining Scholar,12.Cator L.J. al.The role vector vector-borne disease dynamics.Front. 2020; 8: 189Crossref Scholar], now recognized critical gauging change impacts, especially terms progressive rises average temperature continue ramp up [13.Wolkovich E.M. al.Temporal ecology Anthropocene.Ecol. 17: 1365-1379Crossref (149) thinking started enter realm empirical [14.Feckler al.History matters: heterotrophic microbial stressors.Glob. 24: e402-e415Crossref (22) Scholar, 15.Gunderson A.R. al.Multiple changing world: improved perspective physiological dynamic environment.Annu. Rev. Mar. Sci. 357-378Crossref (324) 16.Romero al.Effects river biofilms depend scale.Sci. Rep. 915810Crossref (16) 17.Wu P. al.Timing mitigate resilience.Nat. Commun. 1263Crossref 18.Garnier scale dependent between disturbances microcosm ecosystems.Glob. 23: 5237-5248Crossref (26) introduction framework [15.Gunderson ignored formalized more generally. As first step towards filling knowledge gaps, before start address them combination. Stressors discrete continuous (strength impact) vary 1A). agricultural nutrient oscillates seasonal spikes run-off reflecting farming activity; Figure 1B). By contrast, increases increasing progressively severity ramped stressor; 1C). Since sets pace rate, climatic considered umbrella master all other prevalent world, play [19.Donohue I. al.Navigating stability.Ecol. 19: 1172-1185Crossref (258) 20.Hughes al.Coral reefs Anthropocene.Nature. 546: 82-90Crossref (845) 21.Lewis S.L. 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Cote Quantifying evidence synergies.Ecol. 2008; 11: 1278-1286Crossref (508) Scholar,27.Jackson Interactions invasive animals.Ecology. 96: 2035-2041Crossref (82) aquatic Scholar,28.Nõges al.Quantified biotic abiotic freshwater, ground waters.Sci. 540: 43-52Crossref (146) 29.Ban S.S. al.Evidence coral reefs.Glob. 20: 681-697Crossref (236) 30.Piggott al.Reconceptualizing synergism antagonism stressors.Ecol. 5: 1538-1547Crossref (315) 31.Przeslawski R. al.A meta-analysis embryos larvae.Glob. 2122-2140Crossref (298) terrestrial [32.Dieleman W.I.J. al.Simple rare: quantitative biomass manipulations temperature.Glob. 2012; 2681-2693Crossref (283) Scholar,33.Yue three drivers C:N:P stoichiometry: synthesis.Glob. 2450-2463Crossref (131) realms, although fully understand why arise [25.Orr Some suggests when simultaneously, rule rather exception [34.Dafforn al.Big data opportunities assessing scales ecosystems.Mar. Freshw. 67: 393-413Crossref (56) Beyond overly simplistic scenario synchronous current limited theory constrain mitigate) Discrete might flooding event, present shorter-lived 1D). meaningful think absolute per se. distribution whole. characteristic timescale experience, respond to, perturbations 2). Organisms operating so ways given set particular [36.Saether B.E. al.Generation scaling bird population dynamics.Nature. 2005; 436: 99-102Crossref (142) Therefore, taxonomic composition should arguably overall memory. To get grips this, must able differentially events. end, Metabolic Theories (EMTs), drawn Dynamic Energy Budget Theory Ecology (MTE) frameworks [37.Brown J.H. al.Toward ecology.Ecology. 2004; 85: 1771-1789Crossref (4637) Scholar,38.Kooijman B. Kooijman Organisation. Cambridge University 2010Google provide good starting point. fundamental EMTs describe cells take resources convert into forms growth reproduction, excrete altered forms. stage prediction and, higher biological organization, diversity. Importantly, key interest: time. simplest comes MTE, species,G=G0m1–?eE/kT,[1] G m body mass, ? (scaling) constant whole-organism E activation energy, k Boltzmann’s (8.62 × 105 eV/K), T kelvin, G0 size- temperature-independent captures sources Scholar,39.Burger J.R. history.Proc. Natl. Acad. U. 116: 26653-26661Crossref (21) 40.McCoy M.W. Gillooly J.F. mortality plants animals.Ecol. 710-716Crossref (109) 41.Munch S.B. Salinas Latitudinal within explained ecology.Proc. 2009; 106: 13860-13864Crossref (128) According determined sizes (physiologically) operational temperatures. multicellular eukaryotes, ? 0.75 0.65 significant systematic deviations values unicellular eukaryotes prokaryotes drive lower [42.Kontopoulos D. al.Adaptive evolution shapes present-day thermal sensitivity rate.PLoS 18e3000894Crossref (11) Scholar,43.Smith al.Community-level respiration prokaryotic microbes rise warming.Nat. 10: 5124Crossref Equation 1 stems general inverse relationship mass-specific rate [44.Savage V.M. size growth.Am. Nat. 163: 429-441Crossref (589) Scholar,45.Brown al.Equal fitness paradigm trade-off energy production rate.Nat. 2: 262-268Crossref life-history drives therefore holds great potential help us relevant organism, well response. With EMT foundation, stressor’s potentially quantified based times, inferred adult physiology reasons small single-celled alga large fish vastly 1D) mechanisms. example, showed considerable acclimation diverse range taxa, apparently acclimating faster, lesser extent, larger ones [46.Rohr complex breadth ectotherms.Ecol. 1425-1439Crossref (114) (as opposed just ecological) responses, role, faster expected [47.Martin A.P. Palumbi S.R. Body size, molecular clock.Proc. 1993; 90: 4087-4091Crossref (924) one organism predictable measures via mass rule, smaller, short-lived warmer environment would likely fewer perceive ramping, while larger, long-lived colder pulses Ultimately, comprise nested populations, themselves webs, combination activity populations organizational levels. way go individuals, ecosystem-level weighted populations’ [43.Smith Scholar,48.Enquist B.J. al.Scaling metabolism ecosystems.Nature. 2003; 423: 639-642Crossref (292) Smith al. weight functional groups according permanently elevate respiration. Such approaches, allow linear up-scaling ecosystems, easily accommodate provided (multivariate) quantified. However, upscaling approach necessarily biomasses relative (such abundances). extended trait-driver theory, allows size) (multiple) dynamically modify [49.Enquist developing driver integrating trait-based theories.Adv. 249-318Crossref (210) Scholar,50.Savage multi-trait-based studying functioning.J. Theor. 2007; 247 (213–212)Crossref (77) currently cannot nontrophic populations. truly multistressor time-varying, nonlinear food-web mediated) needs (Box 1).Box 1Species Temporal StressorsIn addition considering dimension, cascading mediated; I). Nonlinearities generate unpredictable fluctuations interacting propagation stressor-induced producers top consumers). attenuate directionally move differences species. systems (small-bodied fast-lived) algae, observe very base web, time-lagged aggregated (which larger-bodied longer-lived; body-mass I), status abundance.As know affects put bounds ‘ripple’ upwards (to account dimension effects) disentangle direct IB). Of course, webs simply unidirectional networks: consumers exert top-down control. modulate seen pesticides, nutrients, acidification, change, instance; yet, remains understood. abundance. complexities, nascent state theoretical development field, make empirically predictions about qualitatively mapping onto organisms’ ecosystem. hypothesize every depending proportions it, each perceived event) compare ‘slow’ comprising large, trees) versus ‘fast’ dominated oceanic phytoplankton), ‘zeroth-order’ model biomass-weighted expect fundamentally community-level slow fast experiencing another, adding goal, group broad typologies hence capacity envelopes response, (extreme exemplar) cases earlier. How precisely maps open question, progress made decades fairly rules narrow field. strongly size-structured flowing small, abundant, algae) rarer, longer-lived predatory fishes; Box ‘trophic-level’ there approximate drop transfer 1) similar degrees listed above many well-described allometric here shifts map One could involve resolution spectra techniques next-generation sequencing metabarcoding DNA bulk-sample DNA) obtain detailed information, machine learning images gain complementary distributions [51.Jackson al.Recommendations next monitoring tools.Adv. 55: 615-636Crossref calculate distributed ecologists decide accurately measure Moving effort unraveling temporally occurring points, full resolve ‘temporal types’ testing models. taken off few Scholar,25.Orr Scholar,52.Tockner coupled river–floodplain ecosystems.Freshw. 2010; 135-151Crossref (288) Scholar,53.Birk al.Impacts biota ecosystems.Nat. 4: 1060-1068Crossref (154) chasm bridged bring greater realism some biggest rapidly world shown beyond perfectly overlapping stressors: sequences, overlap, Outstanding Questions). unrealistic scenarios. dramatically memory, prevalence extension, management conservation ecosystems.Outstanding QuestionsHow order, populations?Does exposure promote erode resilience (through memory) does similarity?Do outcomes dominance affects) comparable acting synchrony?If rescale (rather time), lifespans?How population-level variable ecosystems? populations? Does similarity? Do synchrony? If lifespans? All authors supported Natural Environment Research Council (NERC) grants NE/M020843/1 NE/S000348/1 . M.C.J. NERC grant NE/V001396/1 No interests declared. exists any processes. acquisition recombination improve performance survival generations. physiological, morphological, behavioral adjustments certain conditions. effect parts. throughout organism. part experiences consecutive lineages population. phenotype affected parents.

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ژورنال

عنوان ژورنال: Trends in Ecology and Evolution

سال: 2021

ISSN: ['0169-5347', '1872-8383']

DOI: https://doi.org/10.1016/j.tree.2021.01.005