1
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Davidson JL, Shoemaker LG. Resistance and resilience to invasion is stronger in synchronous than compensatory communities. Ecology 2023; 104:e4162. [PMID: 37672010 DOI: 10.1002/ecy.4162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 07/19/2023] [Indexed: 09/07/2023]
Abstract
While community synchrony is a key framework for predicting ecological constancy, the interplay between community synchrony and ecological invasions remains unclear. Yet the degree of synchrony in a resident community may influence its resistance and resilience to the introduction of an invasive species. Here we used a generalizable mathematical framework, constructed with a modified Lotka-Volterra competition model, to first simulate resident communities across a range of competitive strengths and species' responses to environmental fluctuations, which yielded communities that ranged from strongly synchronous to compensatory. We then invaded these communities at different timesteps with invaders of varying demographic traits, after which we quantified the resident community's susceptibility to initial invasion attempts (resistance) and the degree to which community synchrony was altered after invasion (resiliency of synchrony). We found that synchronous communities were not only more resistant but also more resilient to invasion than compensatory communities, likely due to stronger competition between resident species and thus lower cumulative abundances in compensatory communities, providing greater opportunities for invasion. The growth rate of the invader was most influenced by the resident and invader competition coefficients and the growth rate of the invader species. Our findings support prioritizing the conservation of compensatory and weakly synchronous communities which may be at increased risk of invasion.
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2
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Hallett LM, Aoyama L, Barabás G, Gilbert B, Larios L, Shackelford N, Werner CM, Godoy O, Ladouceur ER, Lucero JE, Weiss-Lehman CP, Chase JM, Chu C, Harpole WS, Mayfield MM, Faist AM, Shoemaker LG. Restoration ecology through the lens of coexistence theory. Trends Ecol Evol 2023; 38:1085-1096. [PMID: 37468343 DOI: 10.1016/j.tree.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 07/21/2023]
Abstract
Advances in restoration ecology are needed to guide ecological restoration in a variable and changing world. Coexistence theory provides a framework for how variability in environmental conditions and species interactions affects species success. Here, we conceptually link coexistence theory and restoration ecology. First, including low-density growth rates (LDGRs), a classic metric of coexistence, can improve abundance-based restoration goals, because abundances are sensitive to initial treatments and ongoing variability. Second, growth-rate partitioning, developed to identify coexistence mechanisms, can improve restoration practice by informing site selection and indicating necessary interventions (e.g., site amelioration or competitor removal). Finally, coexistence methods can improve restoration assessment, because initial growth rates indicate trajectories, average growth rates measure success, and growth partitioning highlights interventions needed in future.
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Affiliation(s)
- Lauren M Hallett
- Department of Biology and Environmental Studies Program, University of Oregon, Eugene, OR 97403, USA.
| | - Lina Aoyama
- Department of Biology and Environmental Studies Program, University of Oregon, Eugene, OR 97403, USA
| | - György Barabás
- Division of Ecological and Environmental Modeling (ECOMOD), Dept. IFM, Linköping University, SE-58183 Linköping, Sweden; Institute of Evolution, Centre for Ecological Research, 1121 Budapest, Hungary
| | - Benjamin Gilbert
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada
| | - Loralee Larios
- Department of Botany and Plant Sciences, University of California Riverside, CA 92521, USA
| | - Nancy Shackelford
- School of Environmental Studies, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Chhaya M Werner
- University of Wyoming, Botany Department, Laramie, WY 82071, USA; Department of Environmental Science, Policy, & Sustainability, Southern Oregon University, Ashland, OR 97520, USA
| | - Oscar Godoy
- Departamento de Biología, Instituto Universitario de Investigación Marina (INMAR), Universidad de Cádiz, E-11510 Puerto Real, Spain
| | - Emma R Ladouceur
- Helmholtz Center for Environmental Research - UFZ, Department of Physiological Diversity, Permoserstrasse 15, 04318 Leipzig, Germany; German Centre for Integrative Biodiversity Research (iDiv), Puschstrasse 4, 04103 Leipzig, Germany
| | - Jacob E Lucero
- Department of Rangeland, Wildlife, and Fisheries Management, Texas A&M University, College Station, TX 77843, USA
| | | | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv), Puschstrasse 4, 04103 Leipzig, Germany
| | - Chengjin Chu
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Guangzhou 510275, China
| | - W Stanley Harpole
- Helmholtz Center for Environmental Research - UFZ, Department of Physiological Diversity, Permoserstrasse 15, 04318 Leipzig, Germany; German Centre for Integrative Biodiversity Research (iDiv), Puschstrasse 4, 04103 Leipzig, Germany; Martin Luther University Halle-Wittenberg, am Kirchtor 1, 06108 Halle (Saale), Germany
| | - Margaret M Mayfield
- School of BioSciences, University of Melbourne, Parkville, VIC 3010, Australia
| | - Akasha M Faist
- Department of Animal and Range Sciences, New Mexico State University, Las Cruces, NM 88003, USA; Department of Ecosystem and Conservation Sciences, University of Montana, Missoula, MT 59812, USA
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3
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Walter JA, Reuman DC, Hall KR, Shugart HH, Shoemaker LG. Seasonality in Environment and Population Processes Alters Population Spatial Synchrony. Am Nat 2023; 202:399-412. [PMID: 37792915 DOI: 10.1086/725804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
AbstractPopulation spatial synchrony-the tendency for temporal population fluctuations to be correlated across locations-is common and important to metapopulation stability and persistence. One common cause of spatial synchrony, termed the Moran effect, occurs when populations respond to environmental fluctuations, such as weather, that are correlated over space. Although the degree of spatial synchrony in environmental fluctuations can differ between seasons and different population processes occur in different seasons, the impact on population spatial synchrony is uncertain because prior work has largely assumed that the spatial synchrony of environmental fluctuations and their effect on populations are consistent over annual sampling intervals. We used theoretical models to examine how seasonality in population processes and the spatial synchrony of environmental drivers affect population spatial synchrony. We found that population spatial synchrony can depend not only on the spatial synchrony of environmental drivers but also on the degree to which environmental fluctuations are correlated across seasons, locally, and across space. Moreover, measurements of synchrony from "snapshot" population censuses may not accurately reflect synchrony during other parts of the year. Together, these results show that neglecting seasonality in environmental conditions and population processes is consequential for understanding population spatial synchrony and its driving mechanisms.
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4
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Azevedo-Schmidt L, Swain A, Shoemaker LG, Currano ED. Landscape-level variability and insect herbivore outbreak captured within modern forests provides a framework for interpreting the fossil record. Sci Rep 2023; 13:9701. [PMID: 37322107 PMCID: PMC10272219 DOI: 10.1038/s41598-023-36763-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/09/2023] [Indexed: 06/17/2023] Open
Abstract
Temporal patterns of plant-insect interactions are readily observed within fossil datasets but spatial variability is harder to disentangle without comparable modern methods due to limitations in preservation. This is problematic as spatial variability influences community structure and interactions. To address this we replicated paleobotanical methods within three modern forests, creating an analogous dataset that rigorously tested inter- and intra-forest plant-insect variability. Random mixed effects models, non-metric multidimensional scaling (NMDS) ordinations, and bipartite network- and node-level metrics were used. Total damage frequency and diversity did not differ across forests but differences in functional feeding groups (FFGs) were observed across forests, correlating with plant diversity, evenness, and latitude. Overall, we found higher generalized herbivory within the temperate forests than the wet-tropical, a finding also supported by co-occurrence and network analyses at multiple spatial scales. Intra-forest analyses captured consistent damage type communities, supporting paleobotanical efforts. Bipartite networks captured the feeding outbreak of Lymantria dispar caterpillars; an exciting result as insect outbreaks have long been unidentifiable within fossil datasets. These results support paleobotanical assumptions about fossil insect herbivore communities, provide a comparative framework between paleobotanical and modern communities, and suggest a new analytical framework for targeting modern and fossil outbreaks of insect feeding.
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Affiliation(s)
- Lauren Azevedo-Schmidt
- Climate Change Institute, University of Maine, Orono, 04469, USA.
- Department of Botany, University of Wyoming, Laramie, 82071, USA.
| | - Anshuman Swain
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, 02138, USA
| | | | - Ellen D Currano
- Department of Botany, University of Wyoming, Laramie, 82071, USA
- Department of Geology and Geophysics, University of Wyoming, Laramie, 82071, USA
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5
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DeSiervo MH, Sullivan LL, Kahan LM, Seabloom EW, Shoemaker LG. Disturbance alters transience but nutrients determine equilibria during grassland succession with multiple global change drivers. Ecol Lett 2023. [PMID: 37125464 DOI: 10.1111/ele.14229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 02/15/2023] [Indexed: 05/02/2023]
Abstract
Disturbance and environmental change may cause communities to converge on a steady state, diverge towards multiple alternative states or remain in long-term transience. Yet, empirical investigations of successional trajectories are rare, especially in systems experiencing multiple concurrent anthropogenic drivers of change. We examined succession in old field grassland communities subjected to disturbance and nitrogen fertilization using data from a long-term (22-year) experiment. Regardless of initial disturbance, after a decade communities converged on steady states largely determined by resource availability, where species turnover declined as communities approached dynamic equilibria. Species favoured by the disturbance were those that eventually came to dominate the highly fertilized plots. Furthermore, disturbance made successional pathways more direct revealing an important interaction effect between nutrients and disturbance as drivers of community change. Our results underscore the dynamical nature of grassland and old field succession, demonstrating how community properties such as β $$ \beta $$ diversity change through transient and equilibrium states.
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6
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Aoyama L, Shoemaker LG, Gilbert B, Collinge SK, Faist AM, Shackelford N, Temperton VM, Barabás G, Larios L, Ladouceur E, Godoy O, Bowler C, Hallett LM. Application of modern coexistence theory to rare plant restoration provides early indication of restoration trajectories. Ecol Appl 2022; 32:e2649. [PMID: 35560687 PMCID: PMC9787931 DOI: 10.1002/eap.2649] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/10/2022] [Accepted: 03/23/2022] [Indexed: 05/17/2023]
Abstract
Restoration ecology commonly seeks to re-establish species of interest in degraded habitats. Despite a rich understanding of how succession influences re-establishment, there are several outstanding questions that remain unaddressed: are short-term abundances sufficient to determine long-term re-establishment success, and what factors contribute to unpredictable restorations outcomes? In other words, when restoration fails, is it because the restored habitat is substandard, because of strong competition with invasive species, or alternatively due to changing environmental conditions that would equally impact established populations? Here, we re-purpose tools developed from modern coexistence theory to address these questions, and apply them to an effort to restore the endangered Contra Costa goldfields (Lasthenia conjugens) in constructed ("restored") California vernal pools. Using 16 years of data, we construct a population model of L. conjugens, a species of conservation concern due primarily to habitat loss and invasion of exotic grasses. We show that initial, short-term appearances of restoration success from population abundances is misleading, as year-to-year fluctuations cause long-term population growth rates to fall below zero. The failure of constructed pools is driven by lower maximum growth rates compared with reference ("natural") pools, coupled with a stronger negative sensitivity to annual fluctuations in abiotic conditions that yield decreased maximum growth rates. Nonetheless, our modeling shows that fluctuations in competition (mainly with exotic grasses) benefit L. conjugens through periods of competitive release, especially in constructed pools of intermediate pool depth. We therefore show how reductions in invasives and seed addition in pools of particular depths could change the outcome of restoration for L. conjugens. By applying a largely theoretical framework to the urgent goal of ecological restoration, our study provides a blueprint for predicting restoration success, and identifies future actions to reverse species loss.
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Affiliation(s)
- Lina Aoyama
- Biology DepartmentUniversity of OregonEugeneOregonUSA
- Environmental Studies ProgramUniversity of OregonEugeneOregonUSA
| | | | - Benjamin Gilbert
- Department of Ecology and Evolutionary BiologyUniversity of TorontoTorontoOntarioCanada
| | | | - Akasha M. Faist
- Department of Animal and Range SciencesNew Mexico State UniversityLas CrucesNew MexicoUSA
| | - Nancy Shackelford
- School of Environmental StudiesUniversity of VictoriaVictoriaBritish ColumbiaCanada
- Ecology and Evolutionary BiologyUniversity of Colorado BoulderBoulderColoradoUSA
| | | | - György Barabás
- Division of Theoretical Biology, Department of IFMLinköping UniversityLinköpingSweden
- MTA‐ELTE Theoretical Biology and Evolutionary Ecology Research GroupBudapestHungary
| | - Loralee Larios
- Department of Botany and Plant SciencesUniversity of California RiversideRiversideCaliforniaUSA
| | - Emma Ladouceur
- German Centre for Integrative Biodiversity Research (iDiv) Leipzig‐Halle‐JenaLeipzigGermany
- Department of Physiological DiversityHelmholtz Centre for Environmental Research –UFZLeipzigGermany
| | - Oscar Godoy
- Instituto Universitario de Investigación Marina (INMAR), Dpto de BiologíaPuerto RealSpain
| | - Catherine Bowler
- School of Biological Sciences University of QueenslandBrisbaneQueenslandAustralia
| | - Lauren M. Hallett
- Biology DepartmentUniversity of OregonEugeneOregonUSA
- Environmental Studies ProgramUniversity of OregonEugeneOregonUSA
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7
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Bowler CH, Shoemaker LG, Weiss‐Lehman C, Towers IR, Mayfield MM. Positive effects of exotic species dampened by neighborhood heterogeneity. Ecology 2022; 103:e3779. [PMID: 35657139 PMCID: PMC9787102 DOI: 10.1002/ecy.3779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 02/01/2022] [Accepted: 04/19/2022] [Indexed: 12/30/2022]
Abstract
It is well known that species interactions between exotic and native species are important for determining the success of biological invasions and how influential exotic species become in invaded communities. The strength and type of interactions between species can substantially vary, however, from negative and detrimental to minimal or even positive. Increasing evidence from the literature shows that exotic species have positive interactions with native species more often than originally thought. Gaps in our theory for how population growth is limited when interactions are positive, however, restrict our understanding of the mechanisms by which exotic "facilitators" contribute to diversity maintenance in invaded systems. Here, we quantified interactions between seven native and four exotic (established nonnative) common annual plant species in the highly diverse, York Gum woodlands of Western Australia. We used a Bayesian demographic modeling approach that allowed for interaction coefficients to be positive or negative, and explored key sources of variation in species responses to native and exotic neighbors at per capita (individual) and neighborhood levels. We observed positive per capita effects from exotic neighbors on exotic focal species as well as on several native focal species. However, all focal species were, on average, inhibited by their interaction neighborhood, when the variance in identity and abundance of observed neighbors was considered. At the neighborhood scale, exotic species were found to suppress all focal species, particularly those with high intrinsic fecundity. Our study demonstrates that within-neighborhood heterogeneity can regulate per capita positive effects of invaders, limiting runaway population growth of both natives and exotic invaders.
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Affiliation(s)
- Catherine H. Bowler
- School of Biological SciencesUniversity of QueenslandBrisbaneQueenslandAustralia
| | | | | | - Isaac R. Towers
- School of Biological, Earth and Environmental SciencesUniversity of New South WalesSydneyNew South WalesAustralia
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8
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Sieben AJ, Mihaljevic JR, Shoemaker LG. Quantifying mechanisms of coexistence in disease ecology. Ecology 2022; 103:e3819. [PMID: 35855596 DOI: 10.1002/ecy.3819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/22/2022] [Accepted: 04/20/2022] [Indexed: 11/06/2022]
Abstract
Pathogen coexistence depends on ecological processes operating at both within and between-host scales, making it difficult to quantify which processes may promote or prevent coexistence. Here, we propose that adapting modern coexistence theory-traditionally applied in plant communities-to pathogen systems provides an exciting approach for examining mechanisms of coexistence operating across different spatial scales. We first overview modern coexistence theory and its mechanistic decomposition; we subsequently adapt the framework to quantify how spatial variation in pathogen density, host resources and immunity, and their interaction may promote pathogen coexistence. We apply this derivation to an example two pathogen, multi-scale model comparing two scenarios with generalist and strain-specific immunity: one with demographic equivalency among pathogens and one with demographic trade-offs among pathogens. We then show how host-pathogen feedbacks generate spatial heterogeneity that promote pathogen coexistence and decompose those mechanisms to quantify how each spatial heterogeneity contributes to that coexistence. Specifically, coexistence of demographically equivalent pathogens occurs due to spatial variation in host resources, immune responses, and pathogen aggregation. With a competition-colonization trade-off, the superior colonizer requires spatial heterogeneity to coexist, whereas the superior competitor does not. Finally, we suggest ways forward for linking theory and empirical tests of coexistence in disease systems.
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Affiliation(s)
- Andrew J Sieben
- Department of Botany, University of Wyoming, Laramie, WY.,School of Medicine, Emory University, Atlanta, GA
| | - Joseph R Mihaljevic
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ
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9
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Bowler CH, Weiss-Lehman C, Towers IR, Mayfield MM, Shoemaker LG. Accounting for demographic uncertainty increases predictions for species coexistence: A case study with annual plants. Ecol Lett 2022; 25:1618-1628. [PMID: 35633300 PMCID: PMC9328198 DOI: 10.1111/ele.14011] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 03/02/2022] [Accepted: 03/22/2022] [Indexed: 11/29/2022]
Abstract
Natural systems contain more complexity than is accounted for in models of modern coexistence theory. Coexistence modelling often disregards variation arising from stochasticity in biological processes, heterogeneity among individuals and plasticity in trait values. However, these unaccounted‐for sources of uncertainty are likely to be ecologically important and have the potential to impact estimates of coexistence. We applied a Bayesian modelling framework to data from an annual plant community in Western Australia to propagate uncertainty in coexistence outcomes using the invasion criterion and ratio of niche to fitness differences. We found accounting for this uncertainty altered predictions of coexistence versus competitive exclusion for 3 out of 14 species pairs and yielded a probability of priority effects for an additional species pair. The propagation of uncertainty arising from sources of biological complexity improves our ability to predict coexistence more accurately in natural systems.
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Affiliation(s)
- Catherine H Bowler
- School of Biological Sciences, University of Queensland, Brisbane, Queensland, Australia
| | | | - Isaac R Towers
- School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Margaret M Mayfield
- School of BioSciences, University of Melbourne, Parkville, Victoria, Australia
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10
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Shoemaker LG, Hallett LM, Zhao L, Reuman DC, Wang S, Cottingham KL, Hobbs RJ, Castorani MCN, Downing AL, Dudney JC, Fey SB, Gherardi LA, Lany N, Portales-Reyes C, Rypel AL, Sheppard LW, Walter JA, Suding KN. The long and the short of it: Mechanisms of synchronous and compensatory dynamics across temporal scales. Ecology 2022; 103:e3650. [PMID: 35112356 PMCID: PMC9285558 DOI: 10.1002/ecy.3650] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 09/23/2021] [Indexed: 11/07/2022]
Abstract
Synchronous dynamics (fluctuations that occur in unison) are universal phenomena with widespread implications for ecological stability. Synchronous dynamics can amplify the destabilizing effect of environmental variability on ecosystem functions such as productivity, whereas the inverse, compensatory dynamics, can stabilize function. Here we combine simulation and empirical analyses to elucidate mechanisms that underlie patterns of synchronous versus compensatory dynamics. In both simulated and empirical communities, we show that synchronous and compensatory dynamics are not mutually exclusive but instead can vary by timescale. Our simulations identify multiple mechanisms that can generate timescale‐specific patterns, including different environmental drivers, diverse life histories, dispersal, and non‐stationary dynamics. We find that traditional metrics for quantifying synchronous dynamics are often biased toward long‐term drivers and may miss the importance of short‐term drivers. Our findings indicate key mechanisms to consider when assessing synchronous versus compensatory dynamics and our approach provides a pathway for disentangling these dynamics in natural systems.
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Affiliation(s)
| | - Lauren M Hallett
- Environmental Studies Program and Department of Biology, University of Oregon, Eugene, Oregon, USA
| | - Lei Zhao
- Beijing Key Laboratory of Biodiversity and Organic Farming, College of Resources and Environmental Sciences, China Agricultural University, Beijing, China
| | - Daniel C Reuman
- Department of Ecology and Evolutionary Biology and Kansas Biological Survey, University of Kansas, Higuchi Hall, 2101 Constant Ave, Lawrence, Kansas, USA
| | - Shaopeng Wang
- Department of Ecology, College of Urban and Environmental Science, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Kathryn L Cottingham
- Department of Biological Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - Richard J Hobbs
- School of Biological Sciences, The University of Western Australia, Crawley, WA, Australia
| | - Max C N Castorani
- Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Amy L Downing
- Department of Zoology, Ohio Wesleyan University, Delaware, Ohio, USA
| | - Joan C Dudney
- Department of Plant Sciences, UC Davis, Davis, California, United States.,Department of Environmental Science Policy and Management, University of California at Berkeley, Berkeley, California, USA
| | - Samuel B Fey
- Department of Biology, Reed College, Portland, Oregon, USA
| | - Laureano A Gherardi
- Global Drylands Center and School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Nina Lany
- Department of Forestry, Michigan State University, East Lansing, Michigan, USA
| | - Cristina Portales-Reyes
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, Minnesota, USA
| | - Andrew L Rypel
- Department of Fish, Wildlife & Conservation Biology, and Center for Watershed Sciences, University of California, Davis, California, USA
| | - Lawrence W Sheppard
- Department of Ecology and Evolutionary Biology and Kansas Biological Survey, University of Kansas, Higuchi Hall, 2101 Constant Ave, Lawrence, Kansas, USA
| | - Jonathan A Walter
- Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.,Ronin Institute for Independent Scholarship, Montclair, New Jersey, United States
| | - Katharine N Suding
- Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, Colorado, USA
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11
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Weiss-Lehman CP, Werner CM, Bowler CH, Hallett LM, Mayfield MM, Godoy O, Aoyama L, Barabás G, Chu C, Ladouceur E, Larios L, Shoemaker LG. Disentangling key species interactions in diverse and heterogeneous communities: A Bayesian sparse modelling approach. Ecol Lett 2022; 25:1263-1276. [PMID: 35106910 PMCID: PMC9543015 DOI: 10.1111/ele.13977] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 12/07/2021] [Accepted: 01/02/2022] [Indexed: 11/30/2022]
Abstract
Modelling species interactions in diverse communities traditionally requires a prohibitively large number of species‐interaction coefficients, especially when considering environmental dependence of parameters. We implemented Bayesian variable selection via sparsity‐inducing priors on non‐linear species abundance models to determine which species interactions should be retained and which can be represented as an average heterospecific interaction term, reducing the number of model parameters. We evaluated model performance using simulated communities, computing out‐of‐sample predictive accuracy and parameter recovery across different input sample sizes. We applied our method to a diverse empirical community, allowing us to disentangle the direct role of environmental gradients on species’ intrinsic growth rates from indirect effects via competitive interactions. We also identified a few neighbouring species from the diverse community that had non‐generic interactions with our focal species. This sparse modelling approach facilitates exploration of species interactions in diverse communities while maintaining a manageable number of parameters.
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Affiliation(s)
| | - Chhaya M Werner
- Botany Department, University of Wyoming, Laramie, Wyoming, USA
| | - Catherine H Bowler
- School of Biological Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Lauren M Hallett
- Biology Department, University of Oregon, Eugene, Oregon, USA.,Environmental Studies Program, University of Oregon, Eugene, Oregon, USA
| | - Margaret M Mayfield
- School of Biological Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Oscar Godoy
- Departamento de Biología, Instituto Universitario de Investigación Marina (INMAR), Universidad de Cádiz, Puerto Real, Spain
| | - Lina Aoyama
- Biology Department, University of Oregon, Eugene, Oregon, USA.,Environmental Studies Program, University of Oregon, Eugene, Oregon, USA
| | - György Barabás
- Division of Theoretical Biology, Department of IFM, Linköping University, Linköping, Sweden
| | - Chengjin Chu
- Department of Ecology, State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Emma Ladouceur
- German Centre for Integrative Biodiversity Research (iDiv) Leipzig-Halle-Jena, Leipzig, Germany.,Department of Physiological Diversity, Helmholtz Centre for Environmental Research -UFZ, Leipzig, Germany
| | - Loralee Larios
- Department of Botany and Plant Sciences, University of California Riverside, Riverside, California, USA
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12
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Wisnoski NI, Shoemaker LG. Seed banks alter metacommunity diversity: The interactive effects of competition, dispersal and dormancy. Ecol Lett 2021; 25:740-753. [PMID: 34965013 DOI: 10.1111/ele.13944] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 11/10/2021] [Accepted: 11/24/2021] [Indexed: 01/12/2023]
Abstract
Dispersal and dormancy are two common strategies allowing for species persistence and the maintenance of biodiversity in variable environments. However, theory and empirical tests of spatial diversity patterns tend to examine either mechanism in isolation. Here, we developed a stochastic, spatially explicit metacommunity model incorporating seed banks with varying germination and survival rates. We found that dormancy and dispersal had interactive, nonlinear effects on the maintenance and distribution of metacommunity diversity. Seed banks promoted local diversity when seed survival was high and maintained regional diversity through interactions with dispersal. The benefits of seed banks for regional diversity were largest when dispersal was high or intermediate, depending on whether local competition was equal or stabilising. Our study shows that classic predictions for how dispersal affects metacommunity diversity can be strongly influenced by dormancy. Together, these results emphasise the need to consider both temporal and spatial processes when predicting multi-scale patterns of diversity.
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Affiliation(s)
- Nathan I Wisnoski
- Wyoming Geographic Information Science Center, University of Wyoming, Laramie, Wyoming, USA
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13
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Affiliation(s)
| | - Jonathan A. Walter
- Department of Environmental Sciences University of Virginia Charlottesville Virginia 22904 USA
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14
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Walter JA, Shoemaker LG, Lany NK, Castorani MCN, Fey SB, Dudney JC, Gherardi L, Portales-Reyes C, Rypel AL, Cottingham KL, Suding KN, Reuman DC, Hallett LM. The spatial synchrony of species richness and its relationship to ecosystem stability. Ecology 2021; 102:e03486. [PMID: 34289105 PMCID: PMC9286696 DOI: 10.1002/ecy.3486] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 05/03/2021] [Accepted: 05/18/2021] [Indexed: 11/26/2022]
Abstract
Synchrony is broadly important to population and community dynamics due to its ubiquity and implications for extinction dynamics, system stability, and species diversity. Investigations of synchrony in community ecology have tended to focus on covariance in the abundances of multiple species in a single location. Yet, the importance of regional environmental variation and spatial processes in community dynamics suggests that community properties, such as species richness, could fluctuate synchronously across patches in a metacommunity, in an analog of population spatial synchrony. Here, we test the prevalence of this phenomenon and the conditions under which it may occur using theoretical simulations and empirical data from 20 marine and terrestrial metacommunities. Additionally, given the importance of biodiversity for stability of ecosystem function, we posit that spatial synchrony in species richness is strongly related to stability. Our findings show that metacommunities often exhibit spatial synchrony in species richness. We also found that richness synchrony can be driven by environmental stochasticity and dispersal, two mechanisms of population spatial synchrony. Richness synchrony also depended on community structure, including species evenness and beta diversity. Strikingly, ecosystem stability was more strongly related to richness synchrony than to species richness itself, likely because richness synchrony integrates information about community processes and environmental forcing. Our study highlights a new approach for studying spatiotemporal community dynamics and emphasizes the spatial dimensions of community dynamics and stability.
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Affiliation(s)
- Jonathan A Walter
- Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA
| | | | - Nina K Lany
- Department of Forestry, Michigan State University, East Lansing, Michigan, USA
| | - Max C N Castorani
- Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Samuel B Fey
- Department of Biology, Reed College, Portland, Oregon, USA
| | - Joan C Dudney
- Department of Plant Sciences, University of California-Davis, Davis, California, USA
| | - Laureano Gherardi
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Cristina Portales-Reyes
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, USA
| | - Andrew L Rypel
- Department of Wildlife, Fish, and Conservation Biology, University of California, Davis, California, USA
| | - Kathryn L Cottingham
- Department of Biological Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - Katharine N Suding
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA
| | - Daniel C Reuman
- Department of Ecology and Evolutionary Biology and Kansas Biological Survey, University of Kansas, Lawrence, Kansas, USA
| | - Lauren M Hallett
- Environmental Studies Program and Department of Biology, University of Oregon, Eugene, Oregon, USA
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15
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Louthan AM, Peterson ML, Shoemaker LG. Climate sensitivity across latitude: scaling physiology to communities. Trends Ecol Evol 2021; 36:931-942. [PMID: 34275657 DOI: 10.1016/j.tree.2021.05.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 05/08/2021] [Accepted: 05/19/2021] [Indexed: 11/25/2022]
Abstract
While we know climate change will impact individuals, populations, and communities, we lack a cross-scale synthesis for understanding global variation in climate change impacts and predicting their ecological effects. Studies of latitudinal variation in individuals' thermal responses have developed primarily in isolation from studies of natural populations' warming responses. Further, it is unclear whether latitudinal variation in temperature-dependent population responses will manifest into latitudinal patterns in community stability. Integrating across scales, we discuss the key drivers of latitudinal variation in climate change effects, with the goal of identifying key pieces of information necessary to predict warming effects in natural communities. We propose two experimental approaches synthesizing latitudinal variability in climate change impacts across scales of biological organization.
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Affiliation(s)
- Allison M Louthan
- Division of Biology, Kansas State University, Manhattan, KS, 66506, USA.
| | - Megan L Peterson
- Plant Biology Department, University of Georgia, Athens, GA, 30602, USA
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16
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Clark AT, Arnoldi JF, Zelnik YR, Barabas G, Hodapp D, Karakoç C, König S, Radchuk V, Donohue I, Huth A, Jacquet C, de Mazancourt C, Mentges A, Nothaaß D, Shoemaker LG, Taubert F, Wiegand T, Wang S, Chase JM, Loreau M, Harpole S. General statistical scaling laws for stability in ecological systems. Ecol Lett 2021; 24:1474-1486. [PMID: 33945663 DOI: 10.1111/ele.13760] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 03/08/2021] [Accepted: 03/21/2021] [Indexed: 01/03/2023]
Abstract
Ecological stability refers to a family of concepts used to describe how systems of interacting species vary through time and respond to disturbances. Because observed ecological stability depends on sampling scales and environmental context, it is notoriously difficult to compare measurements across sites and systems. Here, we apply stochastic dynamical systems theory to derive general statistical scaling relationships across time, space, and ecological level of organisation for three fundamental stability aspects: resilience, resistance, and invariance. These relationships can be calibrated using random or representative samples measured at individual scales, and projected to predict average stability at other scales across a wide range of contexts. Moreover deviations between observed vs. extrapolated scaling relationships can reveal information about unobserved heterogeneity across time, space, or species. We anticipate that these methods will be useful for cross-study synthesis of stability data, extrapolating measurements to unobserved scales, and identifying underlying causes and consequences of heterogeneity.
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Affiliation(s)
- Adam Thomas Clark
- Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.,Institute of Biology, University of Graz, Graz, Austria.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | | | - Yuval R Zelnik
- Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.,Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France
| | - György Barabas
- Division of Theoretical Biology, Department of Physics, Chemistry, and Biology, Linköping University, Linköping, Sweden.,MTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group, Budapest, Hungary
| | - Dorothee Hodapp
- Helmholtz Institute for Functional Marine Biodiversity (HIFMB), Oldenburg, Germany.,Alfred-Wegener-Institute Helmholtz-Centre for Polar and Marine Research (AWI), Bremerhaven, Germany
| | - Canan Karakoç
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Environmental Microbiology, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany
| | - Sara König
- Department of Soil System Science, Helmholtz Centre for Environmental Research (UFZ), Halle (Saale), Germany
| | - Viktoriia Radchuk
- Department of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | - Ian Donohue
- Zoology Department, Trinity College Dublin, Dublin, Ireland
| | - Andreas Huth
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany
| | - Claire Jacquet
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland.,Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology, Eawag, Dübendorf, Switzerland
| | - Claire de Mazancourt
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France
| | - Andrea Mentges
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Computer Sciences, Martin Luther University, Halle, Germany
| | - Dorian Nothaaß
- Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.,Department of Ecological Modelling, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany
| | | | - Franziska Taubert
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany
| | - Thorsten Wiegand
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Ecological Modelling, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany
| | - Shaopeng Wang
- Institute of Ecology, College of Urban and Environmental Science, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Computer Sciences, Martin Luther University, Halle, Germany
| | - Michel Loreau
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France
| | - Stanley Harpole
- Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Institute of Biology, Martin Luther University, Halle, Germany
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17
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Zhao L, Wang S, Hallett LM, Rypel AL, Sheppard LW, Castorani MCN, Shoemaker LG, Cottingham KL, Suding K, Reuman DC. A new variance ratio metric to detect the timescale of compensatory dynamics. Ecosphere 2020. [DOI: 10.1002/ecs2.3114] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Lei Zhao
- Beijing Key Laboratory of Biodiversity and Organic Farming College of Resources and Environmental Sciences China Agricultural University Beijing 100193 China
- Department of Ecology and Evolutionary Biology and Kansas Biological Survey University of Kansas Higuchi Hall 2101 Constant Avenue Lawrence Kansas 66047 USA
| | - Shaopeng Wang
- Department of Ecology College of Urban and Environmental Science, and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing 100080 China
| | - Lauren M. Hallett
- Environmental Studies Program and Department of Biology University of Oregon Eugene Oregon 97403 USA
| | - Andrew L. Rypel
- Department of Wildlife, Fish, & Conservation Biology University of California Davis Davis California 95616 USA
| | - Lawrence W. Sheppard
- Department of Ecology and Evolutionary Biology and Kansas Biological Survey University of Kansas Higuchi Hall 2101 Constant Avenue Lawrence Kansas 66047 USA
| | - Max C. N. Castorani
- Department of Environmental Sciences University of Virginia Charlottesville Virginia 22904 USA
| | | | | | - Katharine Suding
- Department of Ecology & Evolution Biology University of Colorado Boulder Colorado 80303 USA
| | - Daniel C. Reuman
- Department of Ecology and Evolutionary Biology and Kansas Biological Survey University of Kansas Higuchi Hall 2101 Constant Avenue Lawrence Kansas 66047 USA
- Laboratory of Populations Rockefeller University 1230 York Avenue New York New York 10065 USA
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18
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Shoemaker LG, Barner AK, Bittleston LS, Teufel AI. Quantifying the relative importance of variation in predation and the environment for species coexistence. Ecol Lett 2020; 23:939-950. [PMID: 32255558 DOI: 10.1111/ele.13482] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/20/2019] [Accepted: 01/19/2020] [Indexed: 12/25/2022]
Abstract
Coexistence and food web theory are two cornerstones of the long-standing effort to understand how species coexist. Although competition and predation are known to act simultaneously in communities, theory and empirical study of these processes continue to be developed largely independently. Here, we integrate modern coexistence theory and food web theory to simultaneously quantify the relative importance of predation and environmental fluctuations for species coexistence. We first examine coexistence in a theoretical, multitrophic model, adding complexity to the food web using machine learning approaches. We then apply our framework to a stochastic model of the rocky intertidal food web, partitioning empirical coexistence dynamics. We find the main effects of both environmental fluctuations and variation in predator abundances contribute substantially to species coexistence. Unexpectedly, their interaction tends to destabilise coexistence, leading to new insights about the role of bottom-up vs. top-down forces in both theory and the rocky intertidal ecosystem.
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Affiliation(s)
| | - Allison K Barner
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA, 94720, USA.,Department of Biology, Colby College, Waterville, ME, 04901, USA
| | - Leonora S Bittleston
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Department of Biological Sciences, Boise State University, Boise, ID, 83725, USA
| | - Ashley I Teufel
- Santa Fe Institute, Santa Fe, NM, 87501, USA.,Department of Integrative Biology, The University of Texas at Austin, Austin, TX, 78712, USA
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19
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Shoemaker LG, Sullivan LL, Donohue I, Cabral JS, Williams RJ, Mayfield MM, Chase JM, Chu C, Harpole WS, Huth A, HilleRisLambers J, James ARM, Kraft NJB, May F, Muthukrishnan R, Satterlee S, Taubert F, Wang X, Wiegand T, Yang Q, Abbott KC. Integrating the underlying structure of stochasticity into community ecology. Ecology 2020; 101:e02922. [PMID: 31652337 PMCID: PMC7027466 DOI: 10.1002/ecy.2922] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 08/26/2019] [Accepted: 09/10/2019] [Indexed: 01/13/2023]
Abstract
Stochasticity is a core component of ecology, as it underlies key processes that structure and create variability in nature. Despite its fundamental importance in ecological systems, the concept is often treated as synonymous with unpredictability in community ecology, and studies tend to focus on single forms of stochasticity rather than taking a more holistic view. This has led to multiple narratives for how stochasticity mediates community dynamics. Here, we present a framework that describes how different forms of stochasticity (notably demographic and environmental stochasticity) combine to provide underlying and predictable structure in diverse communities. This framework builds on the deep ecological understanding of stochastic processes acting at individual and population levels and in modules of a few interacting species. We support our framework with a mathematical model that we use to synthesize key literature, demonstrating that stochasticity is more than simple uncertainty. Rather, stochasticity has profound and predictable effects on community dynamics that are critical for understanding how diversity is maintained. We propose next steps that ecologists might use to explore the role of stochasticity for structuring communities in theoretical and empirical systems, and thereby enhance our understanding of community dynamics.
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Affiliation(s)
- Lauren G. Shoemaker
- Department of BotanyUniversity of Wyoming1000 E. University Ave.LaramieWyoming82017USA
- Department of Ecology, Evolution, and BehaviorUniversity of Minnesota1987 Upper Buford CircleSaint PaulMinnesota55108USA
- Department of Ecology and Evolutionary BiologyUniversity of Colorado1900 Pleasant StreetBoulderColorado80309USA
| | - Lauren L. Sullivan
- Department of Ecology, Evolution, and BehaviorUniversity of Minnesota1987 Upper Buford CircleSaint PaulMinnesota55108USA
- Division of Biological SciencesUniversity of Missouri105 Tucker HallColumbiaMissouri65211USA
| | - Ian Donohue
- Department of Zoology, School of Natural SciencesTrinity CollegeCollege Green Dublin 2Ireland
| | - Juliano S. Cabral
- Synthesis Centre of the German Centre for Integrative Biodiversity Research (sDiv) Halle-Jena-LeipzigDeutscher Platz 5eLeipzig04103Germany
- Ecosystem Modeling, Center of Computation and Theoretical BiologyUniversity of WürzburgEmil-Fischer-Strasse 3297074WürzburgGermany
| | - Ryan J. Williams
- Division of Biological SciencesUniversity of Missouri105 Tucker HallColumbiaMissouri65211USA
| | - Margaret M. Mayfield
- The University of QueenslandSchool of Biological SciencesGoddard BuildingBrisbaneQueensland4072Australia
| | - Jonathan M. Chase
- German Centre for Integrative Biodiversity Research (iDiv)Deutscher Platz 5eLeipzig04103Germany
- Institute for Computer ScienceMartin Luther University Halle-WittenbergHalle06099Germany
| | - Chengjin Chu
- Department of Ecology, State Key Laboratory of Biocontrol and School of Life SciencesSun Yat-sen University510275GuangzhouGuangdongChina
| | - W. Stanley Harpole
- German Centre for Integrative Biodiversity Research (iDiv)Deutscher Platz 5eLeipzig04103Germany
- Helmholtz Center for Environmental Research–UFZPermoserstrasse 1504318LeipzigGermany
- Institute of BiologyMartin Luther University Halle-WittenbergAm Kirchtor 106108Halle (Saale)Germany
| | - Andreas Huth
- German Centre for Integrative Biodiversity Research (iDiv)Deutscher Platz 5eLeipzig04103Germany
- Helmholtz Center for Environmental Research–UFZPermoserstrasse 1504318LeipzigGermany
- Institute of Environmental Research SystemsUniversity of OsnabrückP.O. Box 44 69,49069OsnabrückGermany
| | | | - Aubrie R. M. James
- Department of Ecology and Evolutionary BiologyCornell UniversityE145 Corson HallIthacaNew York14853USA
| | - Nathan J. B. Kraft
- Department of Ecology and Evolutionary BiologyUniversity of California, Los Angeles621 Charles E. Young Drive East, P.O. Box 957246Los AngelesCA90095USA
| | - Felix May
- German Centre for Integrative Biodiversity Research (iDiv)Deutscher Platz 5eLeipzig04103Germany
- Institute for Computer ScienceMartin Luther University Halle-WittenbergHalle06099Germany
- Center for MethodologyLeuphana University LüneburgUniversitätsallee 1D‐21335LüneburgGermany
| | - Ranjan Muthukrishnan
- Environmental Resilience InstituteIndiana University717 E 8th StBloomingtonIndiana 47408USA
- Department of Fisheries, Wildlife, and Conservation BiologyUniversity of Minnesota2003 Upper Buford CircleSt. PaulMinnesota55108USA
| | - Sean Satterlee
- Department of Ecology, Evolution, and Organismal BiologyIowa State University251 Bessey HallAmesIowa50011USA
| | - Franziska Taubert
- Helmholtz Center for Environmental Research–UFZPermoserstrasse 1504318LeipzigGermany
| | - Xugao Wang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China
| | - Thorsten Wiegand
- German Centre for Integrative Biodiversity Research (iDiv)Deutscher Platz 5eLeipzig04103Germany
- Helmholtz Center for Environmental Research–UFZPermoserstrasse 1504318LeipzigGermany
| | - Qiang Yang
- Department of Zoology, School of Natural SciencesTrinity CollegeCollege Green Dublin 2Ireland
- Department of BiologyUniversity of KonstanzUniversitätsstraße 1078464KonstanzGermany
| | - Karen C. Abbott
- Department of BiologyCase Western Reserve University10900 Euclid AvenueClevelandOH44106USA
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20
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Strauss AT, Shoemaker LG, Seabloom EW, Borer ET. Cross‐scale dynamics in community and disease ecology: relative timescales shape the community ecology of pathogens. Ecology 2019; 100:e02836. [DOI: 10.1002/ecy.2836] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 05/15/2019] [Accepted: 06/25/2019] [Indexed: 11/10/2022]
Affiliation(s)
- Alexander T. Strauss
- Department of Ecology, Evolution, and Behavior University of Minnesota St. Paul Minnesota 55108 USA
| | - Lauren G. Shoemaker
- Department of Ecology, Evolution, and Behavior University of Minnesota St. Paul Minnesota 55108 USA
| | - Eric W. Seabloom
- Department of Ecology, Evolution, and Behavior University of Minnesota St. Paul Minnesota 55108 USA
| | - Elizabeth T. Borer
- Department of Ecology, Evolution, and Behavior University of Minnesota St. Paul Minnesota 55108 USA
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21
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Hallett LM, Shoemaker LG, White CT, Suding KN. Rainfall variability maintains grass-forb species coexistence. Ecol Lett 2019; 22:1658-1667. [PMID: 31298471 DOI: 10.1111/ele.13341] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 04/18/2019] [Accepted: 06/19/2019] [Indexed: 11/28/2022]
Abstract
Environmental variability can structure species coexistence by enhancing niche partitioning. Modern coexistence theory highlights two fluctuation-dependent temporal coexistence mechanisms -the storage effect and relative nonlinearity - but empirical tests are rare. Here, we experimentally test if environmental fluctuations enhance coexistence in a California annual grassland. We manipulate rainfall timing and relative densities of the grass Avena barbata and forb Erodium botrys, parameterise a demographic model, and partition coexistence mechanisms. Rainfall variability was integral to grass-forb coexistence. Variability enhanced growth rates of both species, and early-season drought was essential for Erodium persistence. While theoretical developments have focused on the storage effect, it was not critical for coexistence. In comparison, relative nonlinearity strongly stabilised coexistence, where Erodium experienced disproportionately high growth under early-season drought due to competitive release from Avena. Our results underscore the importance of environmental variability and suggest that relative nonlinearity is a critical if underappreciated coexistence mechanism.
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Affiliation(s)
- Lauren M Hallett
- Environmental Studies Program and Department of Biology, University of Oregon, Eugene, OR, 97403, USA
| | | | - Caitlin T White
- Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, 80309, USA
| | - Katharine N Suding
- Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, 80309, USA
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22
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Shoemaker LG, Hayhurst E, Weiss-Lehman CP, Strauss AT, Porath-Krause A, Borer ET, Seabloom EW, Shaw AK. Pathogens manipulate the preference of vectors, slowing disease spread in a multi-host system. Ecol Lett 2019; 22:1115-1125. [PMID: 31090159 DOI: 10.1111/ele.13268] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 01/05/2019] [Accepted: 03/24/2019] [Indexed: 01/25/2023]
Abstract
The spread of vector-borne pathogens depends on a complex set of interactions among pathogen, vector, and host. In single-host systems, pathogens can induce changes in vector preferences for infected vs. healthy hosts. Yet it is unclear if pathogens also induce changes in vector preference among host species, and how changes in vector behaviour alter the ecological dynamics of disease spread. Here, we couple multi-host preference experiments with a novel model of vector preference general to both single and multi-host communities. We show that viruliferous aphids exhibit strong preferences for healthy and long-lived hosts. Coupling experimental results with modelling to account for preference leads to a strong decrease in overall pathogen spread through multi-host communities due to non-random sorting of viruliferous vectors between preferred and non-preferred host species. Our results demonstrate the importance of the interplay between vector behaviour and host diversity as a key mechanism in the spread of vectored-diseases.
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Affiliation(s)
- Lauren G Shoemaker
- Department of Botany, University of Wyoming, Laramie, WY, USA.,Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN, USA
| | - Evelyn Hayhurst
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN, USA
| | | | - Alexander T Strauss
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN, USA
| | - Anita Porath-Krause
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN, USA
| | - Elizabeth T Borer
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN, USA
| | - Eric W Seabloom
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN, USA
| | - Allison K Shaw
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN, USA
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23
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Turbek SP, Chock TM, Donahue K, Havrilla CA, Oliverio AM, Polutchko SK, Shoemaker LG, Vimercati L. Scientific Writing Made Easy: A Step-by-Step Guide to Undergraduate Writing in the Biological Sciences. ACTA ACUST UNITED AC 2016. [DOI: 10.1002/bes2.1258] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Sheela P. Turbek
- Department of Ecology and Evolutionary Biology; University of Colorado, Boulder; UCB 334 Ramaley Hall Boulder Colorado 80309 USA
| | - Taylor M. Chock
- Department of Ecology and Evolutionary Biology; University of Colorado, Boulder; UCB 334 Ramaley Hall Boulder Colorado 80309 USA
| | - Kyle Donahue
- Department of Ecology and Evolutionary Biology; University of Colorado, Boulder; UCB 334 Ramaley Hall Boulder Colorado 80309 USA
| | - Caroline A. Havrilla
- Department of Ecology and Evolutionary Biology; University of Colorado, Boulder; UCB 334 Ramaley Hall Boulder Colorado 80309 USA
| | - Angela M. Oliverio
- Department of Ecology and Evolutionary Biology; University of Colorado, Boulder; UCB 334 Ramaley Hall Boulder Colorado 80309 USA
- Cooperative Institute for Research in Environmental Sciences; University of Colorado; UCB 334 Boulder Colorado 80309 USA
| | - Stephanie K. Polutchko
- Department of Ecology and Evolutionary Biology; University of Colorado, Boulder; UCB 334 Ramaley Hall Boulder Colorado 80309 USA
| | - Lauren G. Shoemaker
- Department of Ecology and Evolutionary Biology; University of Colorado, Boulder; UCB 334 Ramaley Hall Boulder Colorado 80309 USA
| | - Lara Vimercati
- Department of Ecology and Evolutionary Biology; University of Colorado, Boulder; UCB 334 Ramaley Hall Boulder Colorado 80309 USA
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24
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Shoemaker LG, Melbourne BA. Linking metacommunity paradigms to spatial coexistence mechanisms. Ecology 2016; 97:2436-2446. [DOI: 10.1002/ecy.1454] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 07/18/2016] [Accepted: 04/11/2016] [Indexed: 11/08/2022]
Affiliation(s)
- Lauren G. Shoemaker
- Department of Ecology and Evolutionary Biology University of Colorado at Boulder UCB 334, Ramaley Hall Boulder Colorado 80309 USA
| | - Brett A. Melbourne
- Department of Ecology and Evolutionary Biology University of Colorado at Boulder UCB 334, Ramaley Hall Boulder Colorado 80309 USA
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25
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Tucker CM, Shoemaker LG, Davies KF, Nemergut DR, Melbourne BA. Differentiating between niche and neutral assembly in metacommunities using null models of β‐diversity. OIKOS 2015. [DOI: 10.1111/oik.02803] [Citation(s) in RCA: 94] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Caroline M. Tucker
- Dept of Ecology and Evolutionary Biology Univ. of Colorado Boulder CO 80302 USA
| | - Lauren G. Shoemaker
- Dept of Ecology and Evolutionary Biology Univ. of Colorado Boulder CO 80302 USA
| | - Kendi F. Davies
- Dept of Ecology and Evolutionary Biology Univ. of Colorado Boulder CO 80302 USA
| | - Diana R. Nemergut
- Inst. of Arctic and Alpine Research, Univ. of Colorado Boulder CO 80309 USA
- Dept of Biology Duke Univ. Durham NC 27708 USA
| | - Brett A. Melbourne
- Dept of Ecology and Evolutionary Biology Univ. of Colorado Boulder CO 80302 USA
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Dodson RB, Rozance PJ, Fleenor BS, Petrash CC, Shoemaker LG, Hunter KS, Ferguson VL. Increased arterial stiffness and extracellular matrix reorganization in intrauterine growth-restricted fetal sheep. Pediatr Res 2013; 73:147-54. [PMID: 23154756 PMCID: PMC3742323 DOI: 10.1038/pr.2012.156] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Fetal intrauterine growth restriction (IUGR) results in increased placental resistance to blood flow, fetal hypertension, and increased pulsatility stresses shown to lead to vascular remodeling. We tested our hypothesis that IUGR causes decreased compliance in the carotid and umbilical arteries due to altered extracellular matrix (ECM) composition and structure. METHODS A sheep model of placental insufficiency-induced IUGR (PI-IUGR) was created by exposure of the pregnant ewe to elevated ambient temperatures. Umbilical and carotid arteries from near-term fetuses were tested with pressure-diameter measurements to compare passive compliance in control and PI-IUGR tissues. ECM composition was measured via biochemical assay, and the organization was determined by using histology and second-harmonic generation imaging. RESULTS We found that PI-IUGR increased arterial stiffness with increased collagen engagement, or transition stretch. PI-IUGR carotid arteries exhibited increased collagen and elastin quantity, and PI-IUGR umbilical arteries exhibited increased sulfated glycosaminoglycans. Histomorphology showed altered collagen-to-elastin ratios with altered cellular proliferation. Increased stiffness indicates altered collagen-to-elastin ratios with less elastin contribution leading to increased collagen engagement. CONCLUSION Because vessel stiffness is a significant predictor in the development of hypertension, disrupted ECM deposition in IUGR provides a potential link between IUGR and adult hypertension.
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Affiliation(s)
- Reuben Blair Dodson
- Department of Mechanical Engineering, University of Colorado at Boulder, Boulder, Colorado
| | - Paul J. Rozance
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado
| | - Bradley S. Fleenor
- Department of Integrative Physiology, University of Colorado at Boulder, Boulder, Colorado
| | - Carson C. Petrash
- Department of Mechanical Engineering, University of Colorado at Boulder, Boulder, Colorado
| | | | - Kendall S. Hunter
- Department of Bioengineering, University of Colorado at Denver, Anschutz Medical Campus, Aurora, Colorado
| | - Virginia L. Ferguson
- Department of Mechanical Engineering, University of Colorado at Boulder, Boulder, Colorado,Department of Obstetrics and Gynecology, University of Colorado at Denver, Anschutz Medical Campus, Aurora, Colorado
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Myerburg MM, Ebersole JJ, Shoemaker LG, Heschel MS. Limited Plasticity of Biomass Allocation in Alpine Forbs, Pikes Peak, Colorado. WEST N AM NATURALIST 2011. [DOI: 10.3398/064.071.0312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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