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Title: A heuristic classification of woody plants based on contrasting shade and drought strategies

Journal Article · · Tree Physiology (Online)
ORCiD logo [1]; ORCiD logo [1];  [2];  [3];  [4];  [5]; ORCiD logo [1];  [6];  [7]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Ulm Univ., Ulm (Germany)
  3. Univ. of Idaho, Moscow, ID (United States)
  4. Univ. of Texas Rio Grande Valley, Edinburg, TX (United States)
  5. Univ. of New Mexico, Albuquerque, NM (United States)
  6. Swedish Univ. of Agricultural Sciences, Umea (Sweden)
  7. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
+ Show Author Affiliations

Woody plants vary in their adaptations to drought and shade. For a better prediction of vegetation responses to drought and shade within dynamic global vegetation models, it is critical to group species into functional types with similar adaptations. One of the key challenges is that the adaptations are generally determined by a large number of plant traits that may not be available for a large number of species. In this study, we present two heuristic woody plant groups that were separated using cluster analysis in a three-dimensional trait–environment space based on three key metrics for each species: mean xylem embolism resistance, shade tolerance and habitat aridity. The two heuristic groups separate these species into tolerators and avoiders. Furthermore, the tolerators either rely on their high embolism resistance to tolerate drought in arid habitats (e.g., Juniperus and Prunus) or rely on high shade tolerance to withstand shaded conditions in wet habitats (e.g., Picea, Abies and Acer). In contrast, all avoiders have low embolism resistance and low shade tolerance. In arid habitats, avoiders tend to minimize catastrophic embolism (e.g., most Pinus species) while in wet habitats, they may survive despite low shade tolerance (e.g., Betula, Populus, Alnus and Salix). Because our approach links traits to the environmental conditions, we expect it could be a promising framework for predicting changes in species composition, and therefore ecosystem function, under changing environmental conditions.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC); USDOE Laboratory Directed Research and Development (LDRD) Program
Grant/Contract Number:
89233218CNA000001; AC05-76RL01830
OSTI ID:
1495169
Alternate ID(s):
OSTI ID: 1608788
Report Number(s):
LA-UR-18-31360; PNNL-SA-147538
Journal Information:
Tree Physiology (Online), Vol. 39, Issue 5; ISSN 1758-4469
Publisher:
Oxford University PressCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (1)

Physiological and Growth Responses to Increasing Drought of an Endangered Tree Species in Southwest China journal June 2019

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59 BASIC BIOLOGICAL SCIENCES
earth sciences
embolism resistance
drought responses
plant functional traits
shade tolerance