African savanna grasses outperform trees across the full spectrum of soil moisture availability

© 2023 The Authors. New Phytologist © 2023 New Phytologist Foundation.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1979. - 239(2023), 1 vom: 21. Juli, Seite 66-74
1. Verfasser: Belovitch, Michael W (VerfasserIn)
Weitere Verfasser: NeSmith, Julienne E, Nippert, Jesse B, Holdo, Ricardo M
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article Research Support, U.S. Gov't, Non-P.H.S. C4 grasses drought tolerance ecohydrological trade-offs moisture limitation water-use efficiency whole-plant functional traits Soil Water 059QF0KO0R
Beschreibung
Zusammenfassung:© 2023 The Authors. New Phytologist © 2023 New Phytologist Foundation.
Models of tree-grass coexistence in savannas make different assumptions about the relative performance of trees and grasses under wet vs dry conditions. We quantified transpiration and drought tolerance traits in 26 tree and 19 grass species from the African savanna biome across a gradient of soil water potentials to test for a trade-off between water use under wet conditions and drought tolerance. We measured whole-plant hourly transpiration in a growth chamber and quantified drought tolerance using leaf osmotic potential (Ψosm ). We also quantified whole-plant water-use efficiency (WUE) and relative growth rate (RGR) under well-watered conditions. Grasses transpired twice as much as trees on a leaf-mass basis across all soil water potentials. Grasses also had a lower Ψosm than trees, indicating higher drought tolerance in the former. Higher grass transpiration and WUE combined to largely explain the threefold RGR advantage in grasses. Our results suggest that grasses outperform trees under a wide range of conditions, and that there is no evidence for a trade-off in water-use patterns in wet vs dry soils. This work will help inform mechanistic models of water use in savanna ecosystems, providing much-needed whole-plant parameter estimates for African species
Beschreibung:Date Completed 02.06.2023
Date Revised 04.06.2023
published: Print-Electronic
Citation Status MEDLINE
ISSN:1469-8137
DOI:10.1111/nph.18909