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Pubblicazioni Scientifiche
Filtri di ricerca 3 risultati
Pubblicazioni per anno
TRY plant trait database – enhanced coverage and open access
Kattge
,
Jens
,
Bönisch
,
Gerhard
,
Díaz
,
Sandra M.
,
Lavorel
,
Sandra
,
Prentice
,
Iain Colin
,
Leadley
,
Paul W.
,
Tautenhahn
,
Susanne
,
Werner
,
Gijsbert
,
Aakala
,
Tuomas
,
Abedi
,
Mehdi
,
Acosta
,
Alicia Teresa Rosario
,
Adamidis
,
George C.
,
Adamson
,
Kairi
,
Aiba
,
Masahiro
,
Albert
,
Cécile Hélène
,
Alcántara
,
Julio M.
,
Alcázar C
,
Carolina
,
Aleixo
,
Izabela
,
Ali
,
Hamada E.
,
Amiaud
,
Bernard
,
Ammer
,
Christian
,
Amoroso
,
Mariano Martín
,
Anand
,
Madhur
,
Anderson
,
Carolyn G.
,
Anten
,
Niels P.R.
,
Antos
,
Joseph A.
,
Apgaua
,
Deborah Mattos Guimarães
,
Ashman
,
Tia Lynn
,
Asmara
,
Degi Harja
,
Asner
,
Gregory P.
,
Aspinwall
,
Michael J.
,
Atkin
,
Owen K.
,
Aubin
,
Isabelle
,
Baastrup-Spohr
,
Lars
,
Bahalkeh
,
Khadijeh
,
Bahn
,
Michael
,
Baker
,
Timothy R.
,
Baker
,
William J.
,
Bakker
,
Jan P.
,
Baldocchi
,
Dennis D.
,
Baltzer
,
Jennifer L.
,
Banerjee
,
Arindam
,
Baranger
,
Anne
,
Barlow
,
Jos B.
,
Barneche
,
Diego R.
,
Baruch
,
Zdravko
,
Bastianelli
,
Denis
,
Battles
,
John J.
,
Bauerle
,
William L.
,
Bauters
,
Marijn
,
Bazzato
,
Erika
,
Beckmann
,
Michael
,
Beeckman
,
Hans
,
Beierkuhnlein
,
Carl
,
Bekker
,
Renée M.
,
Belfry
,
Gavin
,
Belluau
,
Michaël
,
Beloiu Schwenke
,
Mirela
,
Benavides
,
Raquel
,
Benomar
,
Lahcen
,
Berdugo-Lattke
,
Mary Lee
,
Berenguer
,
Erika
,
Bergamin
,
Rodrigo Scarton
,
Bergmann
,
Joana
,
Carlucci
,
Marcos B.
,
Berner
,
Logan T.
,
Bernhardt-Römermann
,
Markus
,
Bigler
,
Christof
,
Bjorkman
,
Anne D.
,
Blackman
,
Chris J.
,
Blanco
,
Carolina Casagrande
,
Blonder
,
Benjamin Wong
,
Blumenthal
,
Dana M.
,
Bocanegra-González
,
Kelly Tatiana
,
Boeckx
,
Pascal
,
Bohlman
,
Stephanie Ann
,
Böhning-Gaese
,
Katrin
,
Boisvert-Marsh
,
Laura
,
Bond
,
William J.
,
Bond-Lamberty
,
Ben P.
,
Boom
,
Arnoud
,
Boonman
,
Coline C.F.
,
Bordin
,
Kauane Maiara
,
Boughton
,
Elizabeth H.
,
Boukili
,
Vanessa K.S.
,
Bowman
,
David M.J.S.
,
Bravo
,
Sandra Josefina
,
Brendel
,
Marco R.
,
Broadley
,
Martin R.
,
Brown
,
Kerry A.
,
Bruelheide
,
Helge
,
Brumnich
,
Federico
,
Bruun
,
Hans Henrik
,
Bruy
,
David
,
Buchanan
,
Serra Willow
,
Bucher
,
Solveig Franziska
,
Buchmann
,
Nina
,
Buitenwerf
,
Robert
,
Bunker
,
Daniel E.
,
Bürger
,
Jana
functional diversity
data coverage
data integration
data representativeness
plant traits
try plant trait database
Mostra 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 biodiversity 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 individual 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. © 2019 The Authors. Global Change Biology published by John Wiley & Sons Ltd
Where are we now with European forest multi-taxon biodiversity and where can we head to?
Burrascano
,
Sabina
,
Chianucci
,
Francesco
,
Trentanovi
,
Giovanni
,
Kepfer-Rojas
,
Sebastian
,
Sitzia
,
Tommaso
,
Tinya
,
Flóra
,
Doerfler
,
Inken
,
Paillet
,
Yoan
,
Nagel
,
Thomas A.
,
Mitić
,
Božena
,
Morillas
,
Lourdes
,
Munzi
,
Silvana
,
Van Der Sluis
,
Theo
,
Alterio
,
Edoardo
,
Balducci
,
Lorenzo
,
de Andrade
,
Rafael Barreto
,
Bouget
,
Christophe
,
Giordani
,
P.
,
Lachat
,
Thibault
,
Matošević
,
Dinka
,
Napoleone
,
Francesca
,
Nascimbene
,
Juri
,
Paniccia
,
Chiara
,
Roth
,
Nicolas
,
Aszalós
,
Réka
,
Brazaitis
,
Gediminas
,
Cutini
,
Andrea
,
D'Andrea
,
Ettore
,
de Smedt
,
Pallieter
,
Heilmann-Clausen
,
Jacob
,
Janssen
,
Philippe
,
Kozák
,
Daniel
,
Mårell
,
Anders
,
Mikoláš
,
Martin
,
Nordén
,
Björn
,
Matula
,
Radim
,
Schall
,
Peter
,
Svoboda
,
Miroslav
,
Ujházyová
,
Mariana
,
Vandekerkhove
,
Kris
,
Wohlwend
,
Michael Rudolf
,
Xystrakis
,
Fotios
,
Aleffi
,
Michele
,
Ammer
,
Christian
,
Archaux
,
Frédéric
,
Asbeck
,
Thomas
,
N Avtzis
,
Dimitrios N.
,
Ayasse
,
Manfred
,
Bagella
,
Simonetta
,
Balestrieri
,
Rosario
,
Barbati
,
Anna
,
Basile
,
Marco
,
Bergamini
,
Ariel
,
Bertini
,
Giada
,
Biscaccianti
,
Alessandro Bruno
,
Boch
,
Steffen
,
Bölöni
,
János
,
Bombi
,
Pierluigi
,
Boscardin
,
Yves
,
Brunialti
,
Giorgio
,
Bruun
,
Hans Henrik
,
Buscot
,
François
,
Byriel
,
David Bille
,
Campagnaro
,
Thomas
,
Campanaro
,
Alessandro
,
Chauvat
,
Matthieu
,
Ciach
,
Michał
,
Čiliak
,
Marek
,
Cistrone
,
Luca
,
Pereira
,
Joaò Manuel Cordeiro
,
Daniel
,
Rolf
,
de Cinti
,
Bruno
,
de Filippo
,
Gabriele
,
Dekoninck
,
Wouter
,
Di Salvatore
,
Umberto
,
Dumas
,
Yann
,
Elek
,
Zoltán
,
Ferretti
,
Fabrizio
,
Fotakis
,
Dimitrios G.
,
Frank
,
Tamás
,
Frey
,
Julian
,
Giancola
,
Carmen
,
Gömöryová
,
Erika
,
Gosselin
,
Marion
,
Gosselin
,
Frédéric
,
Goßner
,
Martin M.
,
Götmark
,
Frank
,
Haeler
,
Elena
,
Hansen
,
Aslak Kappel
,
Hertzog
,
Lionel R.
,
Hofmeister
,
Jeňýk
,
Hošek
,
Jan
,
Johannsen
,
Vivian Kvist
,
Justensen
,
Mathias Just
,
Korboulewsky
,
Nathalie
,
Kovács
,
Bence
,
Lakatos
,
Ferenc
,
Landivar
,
Carlos Miguel
,
Lens
,
Luc
,
Lingua
,
Emanuele
forest biodiversity
biodiversity conservation
forest stand structure
multi-taxon
sustainable management
Mostra abstract
The European biodiversity and forest strategies rely on forest sustainable management (SFM) to conserve forest biodiversity. However, current sustainability assessments hardly account for direct biodiversity indicators. We focused on forest multi-taxon biodiversity to: i) gather and map the existing information; ii) identify knowledge and research gaps; iii) discuss its research potential. We established a research network to fit data on species, standing trees, lying deadwood and sampling unit description from 34 local datasets across 3591 sampling units. A total of 8724 species were represented, with the share of common and rare species varying across taxonomic classes: some included many species with several rare ones (e.g., Insecta); others (e.g., Bryopsida) were represented by few common species. Tree-related structural attributes were sampled in a subset of sampling units (2889; 2356; 2309 and 1388 respectively for diameter, height, deadwood and microhabitats). Overall, multi-taxon studies are biased towards mature forests and may underrepresent the species related to other developmental phases. European forest compositional categories were all represented, but beech forests were over-represented as compared to thermophilous and boreal forests. Most sampling units (94%) were referred to a habitat type of conservation concern. Existing information may support European conservation and SFM strategies in: (i) methodological harmonization and coordinated monitoring; (ii) definition and testing of SFM indicators and thresholds; (iii) data-driven assessment of the effects of environmental and management drivers on multi-taxon forest biological and functional diversity, (iv) multi-scale forest monitoring integrating in-situ and remotely sensed information. © 2023 The Authors
MASTREE+: Time-series of plant reproductive effort from six continents
Hacket-Pain
,
Andrew J.
,
Foest
,
Jessie J.
,
Pearse
,
Ian S.
,
LaMontagne
,
Jalene M.
,
Koenig
,
Walter D.
,
Vacchiano
,
Giorgio
,
Bogdziewicz
,
Michał
,
Caignard
,
Thomas
,
Celebias
,
Paulina
,
van Dormolen
,
Joep
,
Fernández-Martínez
,
Marcos
,
Moris
,
Jose V.
,
Palaghianu
,
Ciprian
,
Pesendorfer
,
Mario B.
,
Satake
,
Akiko
,
Schermer
,
Éliane
,
Tanentzap
,
Andrew J.
,
Thomas
,
Peter A.
,
Vecchio
,
Davide
,
Wion
,
Andreas P.
,
Wohlgemuth
,
Thomas
,
Xue
,
Tingting
,
Abernethy
,
Katharine A.
,
Aravena Acuña
,
Marie Claire
,
Barrera
,
Marcelo Daniel
,
Barton
,
Jessica H.
,
Boutin
,
Stan A.
,
Bush
,
Emma R.
,
Donoso Calderón
,
Sergio R.
,
Carevic
,
Felipe S.
,
Castilho
,
Carolina V.
,
Manuel Cellini
,
Juan
,
Chapman
,
Colin A.
,
Chapman
,
H. M.
,
Chianucci
,
Francesco
,
Costa
,
Patricia Da
,
Croisé
,
Luc
,
Cutini
,
Andrea
,
Dantzer
,
Ben J.
,
DeRose
,
Robert Justin
,
Dikangadissi
,
Jean Thoussaint
,
Dimoto
,
Edmond
,
da Fonseca
,
Fernanda Lopes
,
Gallo
,
Leonardo Ariel
,
Gratzer
,
Georg
,
Greene
,
David F.
,
Hadad
,
Martín Ariel
,
Huertas Herrera
,
Alejandro
,
Jeffery
,
Kathryn J.
,
Johnstone
,
Jill F.
,
Kalbitzer
,
Urs
,
Kantorowicz
,
Władysław
,
Klimas
,
Christie Ann
,
Lageard
,
Jonathan G.A.
,
Lane
,
Jeffrey E.
,
Lapin
,
Katharina
,
Ledwoń
,
Mateusz
,
Leeper
,
Abigail C.
,
Lencinas
,
María Vanessa
,
Lira-Guedes
,
Ana Cláudia
,
Lordon
,
Michael C.
,
Marchelli
,
Paula
,
Marino
,
Shealyn
,
Schmidt van Marle
,
Harald
,
McAdam
,
Andrew G.
,
Momont
,
Ludovic R.W.
,
Nicolas
,
Manuel
,
de Oliveira Wadt
,
Lúcia Helena
,
Panahi
,
Parisa
,
Martínez Pastur
,
Guillermo J.
,
Patterson
,
Thomas W.
,
Luis Peri
,
Pablo
,
Piechnik
,
Łukasz
,
Pourhashemi
,
Mehdi
,
Espinoza Quezada
,
Claudia
,
Roig
,
Fidel Alejandro
,
Peña-Rojas
,
Karen A.
,
Rosas
,
Yamina Micaela
,
Schueler
,
Silvio
,
Seget
,
Barbara
,
Soler
,
Rosina M.
,
Steele
,
Michael A.
,
Toro Manríquez
,
Mónica Del Rosario
,
Tutin
,
Caroline E.G.
,
Ukizintambara
,
Tharcisse
,
White
,
Lee J.T.
,
Yadok
,
Biplang Godwill
,
Willis
,
John L.
,
Zolles
,
Anita
,
Żywiec
,
Magdalena
,
Ascoli
,
Davide
Mostra abstract
Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics. © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.