The GenTree Platform: growth traits and tree-level environmental data in 12 European forest tree species
نویسندگان
چکیده
Progress in the field of evolutionary forest ecology has been hampered by huge challenge phenotyping trees across their ranges natural environments, and limitation high-resolution environmental information. The GenTree Platform contains phenotypic data from 4,959 12 ecologically economically important European tree species: Abies alba Mill. (silver fir), Betula pendula Roth. birch), Fagus sylvatica L. (European beech), Picea abies (L.) H. Karst (Norway spruce), Pinus cembra (Swiss stone pine), halepensis (Aleppo nigra Arnold black pinaster Aiton (maritime sylvestris (Scots Populus poplar), Taxus baccata (English yew), Quercus petraea (Matt.) Liebl. (sessile oak). Phenotypic (height, diameter at breast height, crown size, bark thickness, biomass, straightness, forking, branch angle, fructification), regeneration, situ measurements (soil depth, vegetation cover, competition indices), modeling extracted using bilinear interpolation accounting for surrounding conditions each (precipitation, temperature, insolation, drought indices) were obtained 194 sites covering species’ geographic reflecting local gradients. is a new resource investigating ecological processes trees. coherent characterization species allow wide range analyses ecologists, conservationists, macro-ecologists. Also, here presented can be linked to Dendroecological collection, Leaf Trait Genomic collection elsewhere, which together build largest available.
منابع مشابه
Evaluation of different sampling method to study of tree density (tree/hectare) in the Zagros forest
For maintaining of Zagros forests role in wild life, water and soil conservation, the suitable solutions and methods for assessing the existing conditions and planning for management of this forests should be given. To detection of suitable sampling method to study tree density in the northern Zagros forest, Blake forest, in Baneeh region, Kurdistan province, and west of Iran was selected. 40 s...
متن کاملLinking individual-level functional traits to tree growth in a subtropical forest.
Forging strong links between traits and performance is essential for understanding and predicting community assembly and dynamics. Functional trait analyses of trees that have correlated single-trait values with measures of performance such as growth and mortality have generally found weak relationships. A reason for these weak relationships is the failure to use individual-level trait data whi...
متن کاملEvaluation of different sampling method to study of tree density (tree/hectare) in the Zagros forest
For maintaining of Zagros forests role in wild life, water and soil conservation, the suitable solutions and methods for assessing the existing conditions and planning for management of this forests should be given. To detection of suitable sampling method to study tree density in the northern Zagros forest, Blake forest, in Baneeh region, Kurdistan province, and west of Iran was selected. 40 s...
متن کاملIdentifying ontogenetic, environmental and individual components of forest tree growth.
BACKGROUND AND AIMS This study aimed to identify and characterize the ontogenetic, environmental and individual components of forest tree growth. In the proposed approach, the tree growth data typically correspond to the retrospective measurement of annual shoot characteristics (e.g. length) along the trunk. METHODS Dedicated statistical models (semi-Markov switching linear mixed models) were...
متن کاملFunctional traits shape ontogenetic growth trajectories of rain forest tree species
Bruno Hérault*, Bénédicte Bachelot, Lourens Poorter, Vivien Rossi, Frans Bongers, Jérôme Chave, C. E. Timothy Paine, Fabien Wagner and Christopher Baraloto Université des Antilles et de la Guyane, UMR ‘‘Ecologie des Forêts de Guyane’’, 97387 Kourou Cedex, France; AgroParisTech, UMR ‘‘Ecologie des Forêts de Guyane’’, 97387 Kourou Cedex, France; Forest Ecology and Forest Management Group, Wagenin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: GigaScience
سال: 2021
ISSN: ['2047-217X']
DOI: https://doi.org/10.1093/gigascience/giab010