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Open AccessJournal ArticleDOI

A global Fine-Root Ecology Database to address below-ground challenges in plant ecology.

TLDR
This Viewpoint addresses the need for a centralized fine-root trait database, and introduces the Fine-Root Ecology Database (FRED), which so far includes > 70 000 observations encompassing a broad range of root traits and also includes associated environmental data.
Abstract
Variation and tradeoffs within and among plant traits are increasingly being harnessed by empiricists and modelers to understand and predict ecosystem processes under changing environmental conditions. While fine roots play an important role in ecosystem functioning, fine-root traits are underrepresented in global trait databases. This has hindered efforts to analyze fine-root trait variation and link it with plant function and environmental conditions at a global scale. This Viewpoint addresses the need for a centralized fine-root trait database, and introduces the Fine-Root Ecology Database (FRED, http://roots.ornl.gov) which so far includes > 70 000 observations encompassing a broad range of root traits and also includes associated environmental data. FRED represents a critical step toward improving our understanding of below-ground plant ecology. For example, FRED facilitates the quantification of variation in fine-root traits across root orders, species, biomes, and environmental gradients while also providing a platform for assessments of covariation among root, leaf, and wood traits, the role of fine roots in ecosystem functioning, and the representation of fine roots in terrestrial biosphere models. Continued input of observations into FRED to fill gaps in trait coverage will improve our understanding of changes in fine-root traits across space and time.

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Traditional plant functional groups explain variation in economic but not size-related traits across the tundra biome

Haydn J.D. Thomas, +101 more
TL;DR: Traditional functional groups only coarsely represent variation in well‐measured traits within tundra plant communities, and better explain resource economic traits than size‐related traits.
Journal ArticleDOI

Comparative effects of simulated acid rain of different ratios of SO 4 2- to NO 3 - on fine root in subtropical plantation of China

TL;DR: The ratio of SO42- to NO3- in acid rain is an important factor which could affect fine-root growth in subtropical forests of China, and structural equation modelling results showed that acid rain S/N ratio and pH had stronger direct effects on FRB than indirect effects via changed soil and fine root properties.
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Maintaining connectivity: understanding the role of root order and mycelial networks in fine root decomposition of woody plants

TL;DR: It is posited that slower decomposition of first and second compared to higher order roots might be caused by the poor carbon quality associated with higher concentrations of phenols in lower order roots or by inhibition of saprophytes by the mycorrhizal fungi that often preferentially inhabit these roots.
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Root-derived inputs are major contributors to soil carbon in temperate forests, but vary by mycorrhizal type.

TL;DR: In this paper, root-derived soil carbon (C) was found to be transferred into mineral-associated pools in arbuscular mycorrhizal (AM)- and ectomycorrhizeal (ECM)-associated trees.
References
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Journal ArticleDOI

World Map of the Köppen-Geiger climate classification updated

TL;DR: A new digital Koppen-Geiger world map on climate classification, valid for the second half of the 20 th century, based on recent data sets from the Climatic Research Unit of the University of East Anglia and the Global Precipitation Climatology Centre at the German Weather Service.
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The worldwide leaf economics spectrum

TL;DR: Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
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Let the concept of trait be functional

TL;DR: An unambiguous definition of plant trait is given, with a particular emphasis on functional trait, and it is argued that this can be achieved by developing "integration functions" which can be grouped into functional response (community level) and effect (ecosystem level) algorithms.
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Predicting changes in community composition and ecosystem functioning from plant traits: revisiting the Holy Grail

TL;DR: A framework using concepts and results from community ecology, ecosystem ecology and evolutionary biology to provide a linkage between traits associated with the response of plants to environmental factors and traits that determine effects of plants on ecosystem functions is presented.
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New handbook for standardised measurement of plant functional traits worldwide

TL;DR: This new handbook has a better balance between whole-plant traits, leaf traits, root and stem traits and regenerative traits, and puts particular emphasis on traits important for predicting species’ effects on key ecosystem properties.
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