TRY plant trait database – enhanced coverage and open access

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

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Root traits as drivers of plant and ecosystem functioning: current understanding, pitfalls and future research needs

New Phytologist, Journal Year: 2020, Volume and Issue: 232(3), P. 1123 - 1158

Published: Nov. 7, 2020

Summary The effects of plants on the biosphere, atmosphere and geosphere are key determinants terrestrial ecosystem functioning. However, despite substantial progress made regarding plant belowground components, we still only beginning to explore complex relationships between root traits functions. Drawing literature in physiology, ecophysiology, ecology, agronomy soil science, reviewed 24 aspects functioning their with a number system traits, including architecture, morphology, anatomy, chemistry, biomechanics biotic interactions. Based this assessment, critically evaluated current strengths gaps our knowledge, identify future research challenges field ecology. Most importantly, found that broadest importance not those most commonly measured. Also, estimation trait relative for requires us consider more comprehensive range functionally relevant from diverse species, across environments over time series. We also advocate establishing causal hierarchical links among will provide hypothesis‐based framework parsimonious sets strongest functions, link genotypes

Language: Английский

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EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

Applied Vegetation Science, Journal Year: 2020, Volume and Issue: 23(4), P. 648 - 675

Published: July 26, 2020

Abstract Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop tool assigning vegetation‐plot records the system, use classify database, and compile statistically‐derived characteristic species combinations distribution maps these habitats. Location Europe. Methods We developed classification expert system EUNIS‐ESy, which contains based on composition geographic location. Each formally defined as formula in computer language combining algebraic set‐theoretic concepts with logical operators. applied this 1,261,373 vegetation plots from Vegetation Archive (EVA) other databases. Then we determined diagnostic, constant dominant each by calculating species‐to‐habitat fidelity constancy (occurrence frequency) classified data set. Finally, mapped plot locations habitat. Results Formal were 199 at Level 3 hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest 12 man‐made 1,125,121 groups 73,188 habitats, while 63,064 remained unclassified or more than one Data summarized factsheets containing description, map, corresponding syntaxa combination. Conclusions characterized first time terms distribution, database using newly electronic EUNIS‐ESy. provided have considerable potential future nature conservation planning, monitoring assessment.

Language: Английский

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Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation

Trends in Ecology & Evolution, Journal Year: 2020, Volume and Issue: 35(10), P. 908 - 918

Published: June 25, 2020

Functional traits are frequently used to evaluate plant adaptation across environments. Yet, tend have multiple functions and interactions, which cannot be accounted for in traditional correlation analyses. Plant trait networks (PTNs) clarify complex relationships among traits, enable the calculation of metrics topology coordination importance given PTNs, how they shift communities. Recent studies PTNs provide new insights into some important topics, including dimensionality, spectra (including leaf economic spectrum), stoichiometric principles, variation phenotypic integration along gradients resource availability. improved resolution dimensions scales responses shifting resources, disturbance regimes, global change.

Language: Английский

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Taking the pulse of Earth's tropical forests using networks of highly distributed plots

Biological Conservation, Journal Year: 2021, Volume and Issue: 260, P. 108849 - 108849

Published: May 24, 2021

Language: Английский

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Root traits explain plant species distributions along climatic gradients yet challenge the nature of ecological trade-offs

Nature Ecology & Evolution, Journal Year: 2021, Volume and Issue: 5(8), P. 1123 - 1134

Published: June 10, 2021

Language: Английский

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Improving biodiversity protection through artificial intelligence

Nature Sustainability, Journal Year: 2022, Volume and Issue: 5(5), P. 415 - 424

Published: March 24, 2022

Over a million species face extinction, urging the need for conservation policies that maximize protection of biodiversity to sustain its manifold contributions people. Here we present novel framework spatial prioritization based on reinforcement learning consistently outperforms available state-of-the-art software using simulated and empirical data. Our methodology, CAPTAIN (Conservation Area Prioritization Through Artificial INtelligence), quantifies trade-off between costs benefits area protection, allowing exploration multiple metrics. Under limited budget, our model protects substantially more from extinction than areas selected randomly or naively (such as richness). achieves better solutions with data alternative software, meeting targets reliably generating interpretable maps. Regular monitoring, even degree inaccuracy characteristic citizen science surveys, improves outcomes. intelligence holds great promise improving sustainable use biological ecosystem values in rapidly changing resourcelimited world.

Language: Английский

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Global patterns of vascular plant alpha diversity

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Sept. 1, 2022

Global patterns of regional (gamma) plant diversity are relatively well known, but whether these hold for local communities, and the dependence on spatial grain, remain controversial. Using data 170,272 georeferenced assemblages, we created global maps alpha (local species richness) vascular plants at three different grains, forests non-forests. We show that is consistently high across grains in some regions (for example, Andean-Amazonian foothills), 'scaling anomalies' (deviations from positive correlation) exist elsewhere, particularly Eurasian temperate with disproportionally higher fine-grained richness many African tropical coarse-grained richness. The influence climatic, topographic biogeographical variables also varies grains. Our multi-grain return a nuanced understanding biodiversity complements classic hotspots will improve predictions change effects biodiversity.

Language: Английский

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Distance decay 2.0 – A global synthesis of taxonomic and functional turnover in ecological communities

Global Ecology and Biogeography, Journal Year: 2022, Volume and Issue: 31(7), P. 1399 - 1421

Published: May 12, 2022

Understanding the variation in community composition and species abundances (i.e., β-diversity) is at heart of ecology. A common approach to examine β-diversity evaluate directional by measuring decay similarity among pairs communities along spatial or environmental distance. We provide first global synthesis taxonomic functional distance analysing 148 datasets comprising different types organisms environments.

Language: Английский

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Ecological Indicator Values for Europe (EIVE) 1.0

Vegetation Classification and Survey, Journal Year: 2023, Volume and Issue: 4, P. 7 - 29

Published: Jan. 13, 2023

Aims : To develop a consistent ecological indicator value system for Europe five of the main plant niche dimensions: soil moisture (M), nitrogen (N), reaction (R), light (L) and temperature (T). Study area (and closely adjacent regions). Methods We identified 31 systems vascular plants in that contained assessments on at least one aforementioned dimensions. rescaled values each dimension to continuous scale, which 0 represents minimum 10 maximum present Europe. Taxon names were harmonised Euro+Med Plantbase. For dimensions, we calculated European position width by combining from individual EIV systems. Using T as an example, externally validated our against median bioclimatic conditions global occurrence data taxa. Results In total, derived 14,835 taxa (14,714 M, 13,748 N, 14,254 R, 14,054 L, 14,496 T). Relating obtained species yielded higher correlation than any original ( r = 0.859). The database newly developed Ecological Indicator Values (EIVE) 1.0, together with all source systems, is available flexible, open access database. Conclusions EIVE most comprehensive date. uniform interval scales provide new possibilities macroecological analyses vegetation patterns. workflow documentation will facilitate future release updated expanded versions EIVE, may example include addition further taxonomic groups, additional external validation or regionalisation. Abbreviations value; Europe; EVA Vegetation Archive; GBIF Global Biodiversity Information Facility; i index taxa; j systems; L light; M moisture; N availability; R reaction; temperature.

Language: Английский

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