Implementation of trait-based ozone plant sensitivity in the Yale Interactive terrestrial Biosphere model v1.0 to assess global vegetation damage
<p>A major limitation in modeling global ozone (O<span class="inline-formula"><sub>3</sub></span>) vegetation damage has long been the reliance on empirical O<span class="inline-formula"><sub>3</sub></span> sensitivity paramet...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-04-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/16/2261/2023/gmd-16-2261-2023.pdf |
| Summary: | <p>A major limitation in modeling global ozone (O<span class="inline-formula"><sub>3</sub></span>) vegetation damage has
long been the reliance on empirical O<span class="inline-formula"><sub>3</sub></span> sensitivity parameters derived
from a limited number of species and applied at the level of plant
functional types (PFTs), which ignore the large interspecific variations
within the same PFT. Here, we present a major advance in large-scale
assessments of O<span class="inline-formula"><sub>3</sub></span> plant injury by linking the trait leaf mass per area
(LMA) and plant O<span class="inline-formula"><sub>3</sub></span> sensitivity in a broad and global perspective.
Application of the new approach and a global LMA map in a dynamic global
vegetation model reasonably represents the observed interspecific responses
to O<span class="inline-formula"><sub>3</sub></span> with a unified sensitivity parameter for all plant species.
Simulations suggest a contemporary global mean reduction of 4.8 % in gross
primary productivity by O<span class="inline-formula"><sub>3</sub></span>, with a range of 1.1 %–12.6 % for varied
PFTs. Hotspots with damage <span class="inline-formula">>10 <i>%</i></span> are found in agricultural
areas in the eastern US, western Europe, eastern China, and India,
accompanied by moderate to high levels of surface O<span class="inline-formula"><sub>3</sub></span>. Furthermore, we
simulate the distribution of plant sensitivity to O<span class="inline-formula"><sub>3</sub></span>, which is highly
linked with the inherent leaf trait trade-off strategies of plants,
revealing high risks for fast-growing species with low LMA, such as crops,
grasses, and deciduous trees.</p> |
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| ISSN: | 1991-959X 1991-9603 |