Lineage-based functional types characterising functional diversity to enhance the representation of ecological behaviour in Land Surface Models

Lineage-based functional types : characterising functional diversity to enhance the representation of ecological behaviour in Land Surface Models

No claim to US Government works New Phytologist © 2020 New Phytologist Trust.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1979. - 228(2020), 1 vom: 30. Okt., Seite 15-23
1. Verfasser: Griffith, Daniel M (VerfasserIn)
Weitere Verfasser: Osborne, Colin P, Edwards, Erika J, Bachle, Seton, Beerling, David J, Bond, William J, Gallaher, Timothy J, Helliker, Brent R, Lehmann, Caroline E R, Leatherman, Lila, Nippert, Jesse B, Pau, Stephanie, Qiu, Fan, Riley, William J, Smith, Melinda D, Strömberg, Caroline A E, Taylor, Lyla, Ungerer, Mark, Still, Christopher J
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2020
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. C4 photosynthesis Earth system models evolution grass biogeography land surface models plant functional types vegetation models
Beschreibung
Zusammenfassung:No claim to US Government works New Phytologist © 2020 New Phytologist Trust.
Process-based vegetation models attempt to represent the wide range of trait variation in biomes by grouping ecologically similar species into plant functional types (PFTs). This approach has been successful in representing many aspects of plant physiology and biophysics but struggles to capture biogeographic history and ecological dynamics that determine biome boundaries and plant distributions. Grass-dominated ecosystems are broadly distributed across all vegetated continents and harbour large functional diversity, yet most Land Surface Models (LSMs) summarise grasses into two generic PFTs based primarily on differences between temperate C3 grasses and (sub)tropical C4 grasses. Incorporation of species-level trait variation is an active area of research to enhance the ecological realism of PFTs, which form the basis for vegetation processes and dynamics in LSMs. Using reported measurements, we developed grass functional trait values (physiological, structural, biochemical, anatomical, phenological, and disturbance-related) of dominant lineages to improve LSM representations. Our method is fundamentally different from previous efforts, as it uses phylogenetic relatedness to create lineage-based functional types (LFTs), situated between species-level trait data and PFT-level abstractions, thus providing a realistic representation of functional diversity and opening the door to the development of new vegetation models
Beschreibung:Date Completed 26.04.2021
Date Revised 26.04.2021
published: Print-Electronic
Citation Status MEDLINE
ISSN:1469-8137
DOI:10.1111/nph.16773