Affiliation:
1. Department of Ecology, Evolution and Behavior University of Minnesota 140 Gortner Laboratory, 1479 Gortner Avenue Saint Paul MN 55108 USA
2. Global Change Institute, School of GeoSciences University of Edinburgh Crew Building, Alexander Crum Brown Road Edinburgh EH3 9FF UK
Abstract
AbstractLichens are one of the most iconic and ubiquitous symbioses known, widely valued as indicators of environmental quality and, more recently, climate change. Our understanding of lichen responses to climate has greatly expanded in recent decades, but some biases and constraints have shaped our present knowledge. In this review we focus on lichen ecophysiology as a key to predicting responses to present and future climates, highlighting recent advances and remaining challenges. Lichen ecophysiology is best understood through complementary whole‐thallus and within‐thallus scales. Water content and form (vapor or liquid) are central to whole‐thallus perspectives, making vapor pressure differential (VPD) a particularly informative environmental driver. Responses to water content are further modulated by photobiont physiology and whole‐thallus phenotype, providing clear links to a functional trait framework. However, this thallus‐level perspective is incomplete without also considering within‐thallus dynamics, such as changing proportions or even identities of symbionts in response to climate, nutrients, and other stressors. These changes provide pathways for acclimation, but their understanding is currently limited by large gaps in our understanding of carbon allocation and symbiont turnover in lichens. Lastly, the study of lichen physiology has mainly prioritized larger lichens at high latitudes, producing valuable insights but underrepresenting the range of lichenized lineages and ecologies. Key areas for future work include improving geographic and phylogenetic coverage, greater emphasis on VPD as a climatic factor, advances in the study of carbon allocation and symbiont turnover, and the incorporation of physiological theory and functional traits in our predictive models.
Subject
Plant Science,Genetics,Ecology, Evolution, Behavior and Systematics
Cited by
14 articles.
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