ORCID Profile
0000-0003-0126-1651
Current Organisations
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
,
Universidad de Valladolid
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Publisher: Elsevier BV
Date: 12-2017
Publisher: Wiley
Date: 31-12-2019
DOI: 10.1111/GCB.14904
Abstract: Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to bio ersity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on in idual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
Publisher: Wiley
Date: 22-07-2015
DOI: 10.1111/NPH.13571
Abstract: We compiled a global database for leaf, stem and root biomass representing c . 11 000 records for c . 1200 herbaceous and woody species grown under either controlled or field conditions. We used this data set to analyse allometric relationships and fractional biomass distribution to leaves, stems and roots. We tested whether allometric scaling exponents are generally constant across plant sizes as predicted by metabolic scaling theory, or whether instead they change dynamically with plant size. We also quantified interspecific variation in biomass distribution among plant families and functional groups. Across all species combined, leaf vs stem and leaf vs root scaling exponents decreased from c . 1.00 for small plants to c . 0.60 for the largest trees considered. Evergreens had substantially higher leaf mass fractions ( LMF s) than deciduous species, whereas graminoids maintained higher root mass fractions ( RMF s) than eudicotyledonous herbs. These patterns do not support the hypothesis of fixed allometric exponents. Rather, continuous shifts in allometric exponents with plant size during ontogeny and evolution are the norm. Across seed plants, variation in biomass distribution among species is related more to function than phylogeny. We propose that the higher LMF of evergreens at least partly compensates for their relatively low leaf area : leaf mass ratio.
Publisher: Springer Science and Business Media LLC
Date: 28-08-2017
Publisher: Elsevier BV
Date: 12-2017
Publisher: Elsevier BV
Date: 07-2017
Publisher: Wiley
Date: 02-2017
Publisher: Springer Science and Business Media LLC
Date: 06-09-2019
Publisher: Elsevier BV
Date: 08-2023
Publisher: Wiley
Date: 23-10-2017
DOI: 10.1111/NPH.14863
Location: Spain
No related grants have been discovered for Ricardo Ruiz-Peinado.