Open Science principles for accelerating trait-based science across the Tree of Life DOI Creative Commons
Rachael V. Gallagher, Daniel S. Falster, Brian Maitner

et al.

Nature Ecology & Evolution, Journal Year: 2020, Volume and Issue: 4(3), P. 294 - 303

Published: Feb. 17, 2020

Synthesizing trait observations and knowledge across the Tree of Life remains a grand challenge for biodiversity science. Species traits are widely used in ecological evolutionary science, new data methods have proliferated rapidly. Yet accessing integrating disparate sources considerable challenge, slowing progress toward global synthesis to integrate organisms. Trait science needs vision achieving integration all Here, we outline how adoption key Open Science principles—open data, open source methods—is transforming increasing transparency, democratizing access accelerating synthesis. To enhance widespread these principles, introduce Traits Network (OTN), global, decentralized community welcoming researchers institutions pursuing collaborative goal standardizing We demonstrate adherence principles is OTN five activities that can accelerate Life, thereby facilitating rapid advances address scientific inquiries environmental issues. Lessons learned along path will provide framework addressing similarly complex informatics challenges. A introduced aims standardize species organismal groups, based on Science.

Language: Английский

The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto DOI Open Access
Peter B. Reich

Journal of Ecology, Journal Year: 2014, Volume and Issue: 102(2), P. 275 - 301

Published: Feb. 19, 2014

Summary The leaf economics spectrum (LES) provides a useful framework for examining species strategies as shaped by their evolutionary history. However, that spectrum, originally described, involved only two key resources (carbon and nutrients) one of three economically important plant organs. Herein, I evaluate whether the idea can be broadly extended to water – third resource –stems, roots entire plants individual, community ecosystem scales. My overarching hypothesis is strong selection along trait trade‐off axes, in tandem with biophysical constraints, results convergence any taxon on uniformly fast, medium or slow strategy (i.e. rates acquisition processing) all organs resources. Evidence economic spectra exists stems well leaves, traits related carbon nutrients. These apply generally within across scales (within communities, climate zones, biomes lineages). There are linkages coupling among resources, resulting an integrated whole‐plant spectrum. Species capable moving rapidly have low tissue density, short life span high flux at organ individual reverse true strategy. Different may different conditions, but being fast respect requires others, general feature species. Economic influence performance fitness consistent trait‐based theory about underlying adaptive mechanisms. Traits help explain differences growth survival gradients thus distribution assembly communities light, nutrient gradients. scale up associated faster processes such decomposition primary productivity, process rates. Synthesis . matter. A single ‘fast–slow’ integrates universe helps ecological strategies, functioning ecosystems.

Language: Английский

Citations

3193

TRY plant trait database – enhanced coverage and open access DOI Creative Commons
Jens Kattge,

Gerhard Bönisch,

Sandra Dı́az

et al.

Global Change Biology, Journal Year: 2019, Volume and Issue: 26(1), P. 119 - 188

Published: Dec. 31, 2019

Abstract Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, influence ecosystem properties their benefits detriments people. trait data thus represent the basis for a vast area research spanning from evolutionary biology, community functional ecology, biodiversity conservation, landscape management, restoration, biogeography earth system modelling. Since its foundation in 2007, TRY database plant traits has grown continuously. It now provides unprecedented coverage under an open access policy is main used by worldwide. Increasingly, also supports new frontiers trait‐based research, including identification gaps subsequent mobilization or measurement data. To support this development, article we evaluate extent compiled analyse emerging patterns representativeness. Best species achieved categorical traits—almost complete ‘plant growth form’. However, most relevant ecology vegetation modelling are characterized continuous intraspecific variation trait–environmental relationships. These have be measured on individual respective environment. Despite coverage, observe humbling lack completeness representativeness these many aspects. We, therefore, conclude that reducing biases remains key challenge requires coordinated approach measurements. This can only collaboration with initiatives.

Language: Английский

Citations

1552

Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity DOI
Joaquín Hortal, Francesco de Bello, José Alexandre Felizola Diniz‐Filho

et al.

Annual Review of Ecology Evolution and Systematics, Journal Year: 2015, Volume and Issue: 46(1), P. 523 - 549

Published: Oct. 30, 2015

Ecologists and evolutionary biologists are increasingly using big-data approaches to tackle questions at large spatial, taxonomic, temporal scales. However, despite recent efforts gather two centuries of biodiversity inventories into comprehensive databases, many crucial research remain unanswered. Here, we update the concept knowledge shortfalls review tradeoffs between generality uncertainty. We present seven key current data. Four previously proposed pinpoint gaps for species taxonomy (Linnean), distribution (Wallacean), abundance (Prestonian), patterns (Darwinian). also redefine Hutchinsonian shortfall apply abiotic tolerances propose new relating limited traits (Raunkiæran) biotic interactions (Eltonian). conclude with a general framework combined impacts consequences large-scale ecological consider ways overcoming dealing uncertainty they generate.

Language: Английский

Citations

1304

Revisiting the Holy Grail: using plant functional traits to understand ecological processes DOI
Jennifer L. Funk, Julie E. Larson, Gregory M. Ames

et al.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2016, Volume and Issue: 92(2), P. 1156 - 1173

Published: April 22, 2016

ABSTRACT One of ecology's grand challenges is developing general rules to explain and predict highly complex systems. Understanding predicting ecological processes from species' traits has been considered a ‘ H oly G rail’ in ecology. Plant functional are increasingly being used develop mechanistic models that can how communities will respond abiotic biotic perturbations species affect ecosystem function services rapidly changing world; however, significant remain. In this review, we highlight recent work outstanding questions three areas: ( i ) selecting relevant traits; ii describing intraspecific trait variation incorporating into models; iii scaling data community‐ ecosystem‐level processes. Over the past decade, there have advances characterization plant strategies based on relationships, integration multivariate indices community function. However, utility trait‐based approaches ecology benefit efforts demonstrate these influence organismal, community, across vegetation types, which may be achieved through meta‐analysis enhancement databases. Additionally, interactions need incorporated predictive using tools such as Bayesian hierarchical modelling. Finally, existing linking empirically tested for their applicability realized.

Language: Английский

Citations

715

The emergence and promise of functional biogeography DOI Open Access
Cyrille Violle, Peter B. Reich, Stephen W. Pacala

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2014, Volume and Issue: 111(38), P. 13690 - 13696

Published: Sept. 15, 2014

Understanding, modeling, and predicting the impact of global change on ecosystem functioning across biogeographical gradients can benefit from enhanced capacity to represent biota as a continuous distribution traits. However, this is challenge for field biogeography historically grounded species concept. Here we focus newly emergent functional biogeography: study geographic trait diversity organizational levels. We show how bridges species-based earth science provide ideas tools help explain in multifaceted (including species, functional, phylogenetic diversities), predict services worldwide, infuse regional conservation programs with basis. Although much recent progress has been made possible because rising multiple data streams, new developments ecoinformatics, methodological advances, future directions should theoretical comprehensive framework scaling biotic interactions trophic levels its ecological implications.

Language: Английский

Citations

650

Global trait–environment relationships of plant communities DOI
Helge Bruelheide, Jürgen Dengler, Oliver Purschke

et al.

Nature Ecology & Evolution, Journal Year: 2018, Volume and Issue: 2(12), P. 1906 - 1917

Published: Oct. 31, 2018

Language: Английский

Citations

585

Reinforcing loose foundation stones in trait-based plant ecology DOI

Bill Shipley,

Francesco de Bello,

J. Hans C. Cornelissen

et al.

Oecologia, Journal Year: 2016, Volume and Issue: 180(4), P. 923 - 931

Published: Jan. 21, 2016

Language: Английский

Citations

446

Fast–slow continuum and reproductive strategies structure plant life-history variation worldwide DOI Open Access
Roberto Salguero‐Gómez, Owen R. Jones, Eelke Jongejans

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2015, Volume and Issue: 113(1), P. 230 - 235

Published: Dec. 22, 2015

Significance Schedules of survival, growth, and reproduction define life-history strategies across species. Understanding how are structured is fundamental to our understanding the evolution, abundance, distribution We found that 418 plant species worldwide explained by an axis representing pace life another wide range reproductive strategies. This framework predicts responses perturbations long-term population performance, showing great promise as a predictive tool for environmental change.

Language: Английский

Citations

398

Traits Without Borders: Integrating Functional Diversity Across Scales DOI
Carlos P. Carmona, Francesco de Bello, Norman W. H. Mason

et al.

Trends in Ecology & Evolution, Journal Year: 2016, Volume and Issue: 31(5), P. 382 - 394

Published: April 25, 2016

Language: Английский

Citations

377

Functional traits in agriculture: agrobiodiversity and ecosystem services DOI
Stephen A. Wood, Daniel S. Karp, Fabrice DeClerck

et al.

Trends in Ecology & Evolution, Journal Year: 2015, Volume and Issue: 30(9), P. 531 - 539

Published: July 17, 2015

Language: Английский

Citations

357