Estimating and mapping ecological processes influencing microbial community assembly DOI Creative Commons
James Stegen,

Xueju Lin,

Jim Fredrickson

et al.

Frontiers in Microbiology, Journal Year: 2015, Volume and Issue: 6

Published: May 1, 2015

Ecological community assembly is governed by a combination of (i) selection resulting from among-taxa differences in performance; (ii) dispersal organismal movement; and (iii) ecological drift stochastic changes population sizes. The relative importance nature these processes can vary across environments. Selection be homogeneous or variable, while rate, we conceptualize extreme rates as two categories; limitation results limited exchange organisms among communities, homogenizing high levels organism exchange. To estimate the influence spatial variation each process extend recently developed statistical framework, use simulation model to evaluate accuracy extended framework examine subsurface microbial communities over geologic formations. For degree which it influenced selection, variable limitation, dispersal. Our analyses revealed that influences substantially even within formation. We further identify environmental features associated with process, allowed mapping ecological-process-influences. maps provide new lens through systems understood; system investigated here they was rate at redox conditions change depth.

Language: Английский

Rebuilding community ecology from functional traits DOI
Brian J. McGill, Brian J. Enquist, Evan Weiher

et al.

Trends in Ecology & Evolution, Journal Year: 2006, Volume and Issue: 21(4), P. 178 - 185

Published: Feb. 20, 2006

Language: Английский

Citations

4197

Synchronization in complex networks DOI
Àlex Arenas, Albert Dı́az-Guilera, Jürgen Kurths

et al.

Physics Reports, Journal Year: 2008, Volume and Issue: 469(3), P. 93 - 153

Published: Sept. 25, 2008

Language: Английский

Citations

3347

Stochastic Community Assembly: Does It Matter in Microbial Ecology? DOI Open Access
Jizhong Zhou, Daliang Ning

Microbiology and Molecular Biology Reviews, Journal Year: 2017, Volume and Issue: 81(4)

Published: Oct. 12, 2017

Understanding the mechanisms controlling community diversity, functions, succession, and biogeography is a central, but poorly understood, topic in ecology, particularly microbial ecology. Although stochastic processes are believed to play nonnegligible roles shaping structure, their importance relative deterministic hotly debated. The of ecological stochasticity structure far less appreciated. Some main reasons for such heavy debates difficulty defining diverse methods used delineating stochasticity. Here, we provide critical review synthesis data from most recent studies on assembly We then describe both components embedded various processes, including selection, dispersal, diversification, drift. also different approaches inferring observational diversity patterns highlight experimental communities. In addition, research challenges, gaps, future directions research.

Language: Английский

Citations

1958

Landscape moderation of biodiversity patterns and processes ‐ eight hypotheses DOI Open Access
Teja Tscharntke, Jason M. Tylianakis, Tatyana A. Rand

et al.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2012, Volume and Issue: 87(3), P. 661 - 685

Published: Jan. 24, 2012

Understanding how landscape characteristics affect biodiversity patterns and ecological processes at local scales is critical for mitigating effects of global environmental change. In this review, we use knowledge gained from human‐modified landscapes to suggest eight hypotheses, which hope will encourage more systematic research on the role composition configuration in determining structure communities, ecosystem functioning services. We organize hypotheses under four overarching themes. Section A: ‘landscape moderation patterns' includes (1) species pool hypothesis—the size landscape‐wide moderates (alpha) biodiversity, (2) dominance beta diversity hypothesis—landscape‐moderated dissimilarity communities determines overrides negative habitat fragmentation biodiversity. B: population dynamics' (3) cross‐habitat spillover energy, resources organisms across habitats, including between managed natural ecosystems, influences community associated (4) landscape‐moderated concentration dilution hypothesis—spatial temporal changes can cause transient or populations with functional consequences. C: trait selection’ (5) selection hypothesis—landscape shapes trajectory assembly, (6) insurance complexity provides spatial insurance, i.e. high resilience stability changing environments. D: constraints conservation management' (7) intermediate landscape‐complexity effectiveness management highest structurally simple, rather than cleared (i.e. extremely simplified) complex landscapes, (8) versus service optimize related services not protect endangered species. Shifting our focus be developing solutions future management.

Language: Английский

Citations

1871

Quantifying community assembly processes and identifying features that impose them DOI Open Access
James Stegen,

Xueju Lin,

Jim Fredrickson

et al.

The ISME Journal, Journal Year: 2013, Volume and Issue: 7(11), P. 2069 - 2079

Published: June 6, 2013

Language: Английский

Citations

1835

Patterns and Processes of Microbial Community Assembly DOI Open Access

Diana R. Nemergut,

Steven K. Schmidt, Tadashi Fukami

et al.

Microbiology and Molecular Biology Reviews, Journal Year: 2013, Volume and Issue: 77(3), P. 342 - 356

Published: Sept. 1, 2013

Recent research has expanded our understanding of microbial community assembly. However, the field ecology is inaccessible to many ecologists because inconsistent and often confusing terminology as well unnecessarily polarizing debates. Thus, we review recent literature on assembly, using framework Vellend (Q. Rev. Biol. 85:183-206, 2010) in an effort synthesize unify these contributions. We begin by discussing patterns biogeography then describe four basic processes (diversification, dispersal, selection, drift) that contribute also discuss different combinations where when they may be most important for shaping communities. The spatial temporal scales assembly are discussed relation processes. Throughout this paper, highlight differences between microbes macroorganisms generate hypotheses describing how end implications ecosystem function biodiversity.

Language: Английский

Citations

1609

Beyond biogeographic patterns: processes shaping the microbial landscape DOI

China A. Hanson,

Jed A. Fuhrman, M. Claire Horner‐Devine

et al.

Nature Reviews Microbiology, Journal Year: 2012, Volume and Issue: 10(7), P. 497 - 506

Published: May 14, 2012

Language: Английский

Citations

1511

Historical Contingency in Community Assembly: Integrating Niches, Species Pools, and Priority Effects DOI Open Access
Tadashi Fukami

Annual Review of Ecology Evolution and Systematics, Journal Year: 2015, Volume and Issue: 46(1), P. 1 - 23

Published: Aug. 5, 2015

The order and timing of species immigration during community assembly can affect abundances at multiple spatial scales. Known as priority effects, these effects cause historical contingency in the structure function communities, resulting alternative stable states, transient or compositional cycles. mechanisms fall into two categories, niche preemption modification, conditions for by be organized groups, those regarding regional pool properties local population dynamics. Specifically, requirements must satisfied to occur: contains that together dynamics are rapid enough early-arriving preempt modify niches before other arrive. Organizing current knowledge this way reveals an outstanding key question: How pools yield generated maintained?

Language: Английский

Citations

1461

Disentangling the importance of ecological niches from stochastic processes across scales DOI Open Access
Jonathan M. Chase, Jonathan A. Myers

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2011, Volume and Issue: 366(1576), P. 2351 - 2363

Published: July 18, 2011

Deterministic theories in community ecology suggest that local, niche-based processes, such as environmental filtering, biotic interactions and interspecific trade-offs largely determine patterns of species diversity composition. In contrast, more stochastic emphasize the importance chance colonization, random extinction ecological drift. The schisms between deterministic perspectives, which date back to earliest days ecology, continue fuel contemporary debates (e.g. niches versus neutrality). As illustrated by pioneering studies Robert H. MacArthur co-workers, resolution these requires consideration how local processes changes across scales. Here, we develop a framework for disentangling relative generating site-to-site variation composition (β-diversity) along gradients (disturbance, productivity interactions) among biogeographic regions differ size regional pool. We illustrate discern using null-model approaches explicitly account factors inherently create turnover. By embracing scales, can build synthetic understanding structure biodiversity face emerge from factors.

Language: Английский

Citations

1445

Fundamentals of Microbial Community Resistance and Resilience DOI Creative Commons
Ashley Shade, Hannes Peter, Steven Allison

et al.

Frontiers in Microbiology, Journal Year: 2012, Volume and Issue: 3

Published: Jan. 1, 2012

Microbial communities are at the heart of all ecosystems, and yet microbial community behavior in disturbed environments remains difficult to measure predict. Understanding drivers stability, including resistance (insensitivity disturbance) resilience (the rate recovery after is important for predicting response disturbance. Here, we provide an overview concepts stability that relevant communities. First, highlight insights from ecology useful defining measuring stability. To determine whether general disturbance responses exist communities, next examine representative studies literature investigated press (long-term) pulse (short-term) disturbances a variety habitats. Then discuss biological features individual microorganisms, populations, may govern overall We conclude with thoughts about unique systems perspectives - informed by meta-omics data

Language: Английский

Citations

1383