The global biogeography of tree leaf form and habit

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F23%3A00580047" target="_blank" >RIV/60077344:_____/23:00580047 - isvavai.cz</a>

Alternative codes found

RIV/67985939:_____/23:00580047 RIV/86652079:_____/23:00580047 RIV/60460709:41320/23:97178 RIV/60076658:12310/23:43907440

Result on the web

<a href="https://www.nature.com/articles/s41477-023-01543-5" target="_blank" >https://www.nature.com/articles/s41477-023-01543-5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41477-023-01543-5" target="_blank" >10.1038/s41477-023-01543-5</a>

Result language

angličtina

Original language name

The global biogeography of tree leaf form and habit

Original language description

Understanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4Gt), 54% (335.7Gt), 22% (136.2Gt) and 3% (18.7Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling. Integrating inventory data with machine learning models reveals the global composition of tree types-needle-leaved evergreen individuals dominate, followed by broadleaved evergreen and deciduous trees-and climate change risks.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10618 - Ecology

Project

<a href="/en/project/GA21-26883S" target="_blank" >GA21-26883S: How global warming affects plant diversity and productivity in Himalayas? Combining in-situ and remote sensing approaches</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Nature Plants

ISSN

2055-026X

e-ISSN

2055-0278

Volume of the periodical

9

Issue of the periodical within the volume

11

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

1795-1809

UT code for WoS article

001106303000012

EID of the result in the Scopus database

2-s2.0-85174580524