Optimality principles explaining divergent responses of alpine vegetation to environmental change.

Glob Chang Biol

Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modelling, Institute for Global Change Studies, Tsinghua University, Beijing, China.

Published: January 2023

AI Article Synopsis

  • - Recent observations show mixed vegetation responses on the Tibetan Plateau, with drier areas experiencing greening and wetter regions facing browning, despite similar climatic trends from 1982 to 2016.
  • - A new model based on eco-evolutionary optimality (EEO) effectively explains these divergent trends by examining the limitations of water and energy, achieving a strong correlation with satellite data.
  • - The study suggests that while increased CO2 promotes plant growth, its effects on photosynthesis are diminishing, indicating a shift in vegetation sensitivity from water to energy limitations due to climate change.

Article Abstract

Recent increases in vegetation greenness over much of the world reflect increasing CO globally and warming in cold areas. However, the strength of the response to both CO and warming in those areas appears to be declining for unclear reasons, contributing to large uncertainties in predicting how vegetation will respond to future global changes. Here, we investigated the changes of satellite-observed peak season absorbed photosynthetically active radiation (F ) on the Tibetan Plateau between 1982 and 2016. Although climate trends are similar across the Plateau, we identified robust divergent responses (a greening of 0.31 ± 0.14% year in drier regions and a browning of 0.12 ± 0.08% year in wetter regions). Using an eco-evolutionary optimality (EEO) concept of plant acclimation/adaptation, we propose a parsimonious modelling framework that quantitatively explains these changes in terms of water and energy limitations. Our model captured the variations in F with a correlation coefficient (r) of .76 and a root mean squared error of .12 and predicted the divergent trends of greening (0.32 ± 0.19% year ) and browning (0.07 ± 0.06% year ). We also predicted the observed reduced sensitivities of F to precipitation and temperature. The model allows us to explain these changes: Enhanced growing season cumulative radiation has opposite effects on water use and energy uptake. Increased precipitation has an overwhelmingly positive effect in drier regions, whereas warming reduces F in wetter regions by increasing the cost of building and maintaining leaf area. Rising CO stimulates vegetation growth by enhancing water-use efficiency, but its effect on photosynthesis saturates. The large decrease in the sensitivity of vegetation to climate reflects a shift from water to energy limitation. Our study demonstrates the potential of EEO approaches to reveal the mechanisms underlying recent trends in vegetation greenness and provides further insight into the response of alpine ecosystems to ongoing climate change.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092415PMC
http://dx.doi.org/10.1111/gcb.16459DOI Listing

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