The terminology of metacommunity ecology

2012 ◽  
Vol 27 (5) ◽  
pp. 253-254 ◽  
Author(s):  
Amanda K. Winegardner ◽  
Brittany K. Jones ◽  
Ingrid S.Y. Ng ◽  
Tadeu Siqueira ◽  
Karl Cottenie
Keyword(s):  
Metacommunity Ecology

scholarly journals A Metacommunity Approach to Improve Biological Assessments in Highly Dynamic Freshwater Ecosystems

BioScience ◽  
2020 ◽  
Vol 70 (5) ◽  
pp. 427-438 ◽  
Author(s):  
Núria Cid ◽  
Núria Bonada ◽  
Jani Heino ◽  
Miguel Cañedo-Argüelles ◽  
Julie Crabot ◽  
...  
Keyword(s):  
Environmental Changes ◽  
Environmental Variability ◽  
Anthropogenic Impacts ◽  
Dispersal Limitation ◽  
Freshwater Ecosystems ◽  
Metacommunity Ecology ◽  
Intermittent Rivers ◽  
Biological Assessments ◽  
Quality Assessments ◽  
Flow Intermittence

Abstract Rapid shifts in biotic communities due to environmental variability challenge the detection of anthropogenic impacts by current biomonitoring programs. Metacommunity ecology has the potential to inform such programs, because it combines dispersal processes with niche-based approaches and recognizes variability in community composition. Using intermittent rivers—prevalent and highly dynamic ecosystems that sometimes dry—we develop a conceptual model to illustrate how dispersal limitation and flow intermittence influence the performance of biological indices. We produce a methodological framework integrating physical- and organismal-based dispersal measurements into predictive modeling, to inform development of dynamic ecological quality assessments. Such metacommunity-based approaches could be extended to other ecosystems and are required to underpin our capacity to monitor and protect ecosystems threatened under future environmental changes.

scholarly journals A global database for metacommunity ecology, integrating species, traits, environment and space

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Alienor Jeliazkov ◽  
Darko Mijatovic ◽  
Stéphane Chantepie ◽  
Nigel Andrew ◽  
Raphaël Arlettaz ◽  
...  
Keyword(s):  
Environmental Variables ◽  
Environmental Changes ◽  
Spatial Scales ◽  
Species Traits ◽  
Global Database ◽  
Metacommunity Ecology ◽  
Species Trait ◽  
Spatial Coordinates ◽  
Taxonomic Groups ◽  
Case Basis

AbstractThe use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. Although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are across ecosystems, taxa and spatial scales. To address this gap, we collated 80 datasets from trait-based studies into a global database for metaCommunity Ecology: Species, Traits, Environment and Space; “CESTES”. Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. The CESTES database is a live database: it will be maintained and expanded in the future as new datasets become available. By its harmonized structure, and the diversity of ecosystem types, taxonomic groups, and spatial scales it covers, the CESTES database provides an important opportunity for synthetic trait-based research in community ecology.

scholarly journals Ecological theory applied to environmental metabolomes reveals compositional divergence despite conserved molecular properties

2020 ◽  
Author(s):  
Robert E. Danczak ◽  
Amy E. Goldman ◽  
Rosalie K. Chu ◽  
Jason G. Toyoda ◽  
Vanessa A. Garayburu-Caruso ◽  
...  
Keyword(s):  
Environmental Filtering ◽  
Molecular Properties ◽  
Freshwater Ecosystem ◽  
Ecological Communities ◽  
Ecological Concept ◽  
Metacommunity Ecology ◽  
Novel Approach ◽  
Underlying Mechanisms ◽  
Insight Into ◽  
Dom Composition

AbstractStream and river systems transport and process substantial amounts of dissolved organic matter (DOM) from terrestrial and aquatic sources to the ocean, with global biogeochemical implications. However, the underlying mechanisms affecting the spatiotemporal organization of DOM composition are under-investigated. To understand the principles governing DOM composition, we leverage the recently proposed synthesis of metacommunity ecology and metabolomics, termed ‘meta-metabolome ecology.’ Applying this novel approach to a freshwater ecosystem, we demonstrated that despite similar molecular properties across metabolomes, metabolite identity significantly diverged due to environmental filtering. We refer to this phenomenon as ‘thermodynamic redundancy,’ which is analogous to the ecological concept of functional redundancy. We suggest that under thermodynamic redundancy, divergent metabolomes can support equivalent biogeochemical function just as divergent ecological communities can support equivalent ecosystem function. As these analyses are performed in additional ecosystems, potentially generalizable principles, like thermodynamic redundancy, can be revealed and provide insight into DOM dynamics.

scholarly journals Using metacommunity ecology to understand environmental metabolomes

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Robert E. Danczak ◽  
Rosalie K. Chu ◽  
Sarah J. Fansler ◽  
Amy E. Goldman ◽  
Emily B. Graham ◽  
...  
Keyword(s):  
Ecological Systems ◽  
Molecular Properties ◽  
Mechanistic Models ◽  
Biogeochemical Processes ◽  
Focus Attention ◽  
Molecular Processes ◽  
Active Metabolites ◽  
Metacommunity Ecology ◽  
Underlying Mechanisms ◽  
Mass Spectrometry Dataset

AbstractEnvironmental metabolomes are fundamentally coupled to microbially-linked biogeochemical processes within ecosystems. However, significant gaps exist in our understanding of their spatiotemporal organization, limiting our ability to uncover transferrable principles and predict ecosystem function. We propose that a theoretical paradigm, which integrates concepts from metacommunity ecology, is necessary to reveal underlying mechanisms governing metabolomes. We call this synthesis between ecology and metabolomics ‘meta-metabolome ecology’ and demonstrate its utility using a mass spectrometry dataset. We developed three relational metabolite dendrograms using molecular properties and putative biochemical transformations and performed ecological null modeling. Based upon null modeling results, we show that stochastic processes drove molecular properties while biochemical transformations were structured deterministically. We further suggest that potentially biochemically active metabolites were more deterministically assembled than less active metabolites. Understanding variation in the influences of stochasticity and determinism provides a way to focus attention on which meta-metabolomes and which parts of meta-metabolomes are most likely to be important to consider in mechanistic models. We propose that this paradigm will allow researchers to study the connections between ecological systems and their molecular processes in previously inaccessible detail.

scholarly journals Dormancy in metacommunities

2018 ◽  
Author(s):  
Nathan I. Wisnoski ◽  
Mathew A. Leibold ◽  
Jay T. Lennon
Keyword(s):  
Species Interactions ◽  
Environmental Variability ◽  
Spatial Scales ◽  
Priority Effects ◽  
Ephemeral Ponds ◽  
Metacommunity Ecology ◽  
Structure And Dynamics ◽  
Metacommunity Dynamics ◽  
Level Process ◽  
Temporal Dispersal

Although metacommunity ecology has improved our understanding of how dispersal affects community structure and dynamics across spatial scales, it has yet to adequately account for dormancy. Dormancy is a reversible state of reduced metabolic activity that enables temporal dispersal within the metacommunity. Dormancy is also a metacommunity-level process because it can covary with spatial dispersal and affect diversity across spatial scales. We develop a framework to integrate dispersal and dormancy, focusing on the covariation they exhibit, to predict how dormancy modifies the importance of species interactions, dispersal, and historical contingencies in metacommunities. We examine case studies of microcrustaceans in ephemeral ponds, where dormancy is integral to metacommunity dynamics. We analyze traits of bromeliad-dwelling invertebrates and identify constraints on dispersal and dormancy strategies. Using simulations, we demonstrate that dormancy can alter classic metacommunity patterns of diversity in ways that depend on dispersal–dormancy covariation and spatiotemporal environmental variability. We propose that dormancy may also facilitate evolution-mediated priority effects if locally adapted seed banks prevent colonization by more dispersal-limited species. We present theoretically and empirically testable predictions for other possible ecological and evolutionary implications of dormancy in metacommunities, some of which may fundamentally alter our understanding of metacommunity ecology.

Sign in / Sign up

Export Citation Format

Share Document