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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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Citations
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Exploring the relationship between deep roots and shoot growth of wheat under different soil moisture: A large soil column experiment 1

TL;DR: Wang et al. as discussed by the authors designed a soil column experiment with a 3 m transparent glass tube depth, and the soil moisture was controlled to be 50% (W1, water shortage), 70% (w2, suitable), and 90% (WC, surplus) of the maximum field capacity, respectively, and cut off the deep root system under 50 cm at the jointing stage of wheat.
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Bone marrow dosimetry for mice: exposure from bone-seeking 89,90Sr

TL;DR: In this article , the authors developed a new approach (SPSD) to calculate the absorbed dose in bone marrow, which is the main problem of bone marrow (BM) dosimetry for bone-seeking β-emitters.
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Decoupling of tree height and root depth across the globe and the implications for tree mortality during drought events

TL;DR: In this paper , the authors investigated the relationship between tree height and root depth across different climate conditions and the implications for tree mortality during drought events and found that the linkage of below-and above-ground reaches has a pivotal role in understanding tree mortality.
Journal ArticleDOI

Grounding trait‐based root functional ecology

Florian Fort
- 31 May 2023 - 
TL;DR: The root functional ecology has experienced the same problems and, for several reasons, its foundations seem even more unstable as mentioned in this paper , and it is difficult to precisely define components of the root system that have homogenous functions.
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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