Vegetation coverage significantly affects the ecological functioning of forest ecosystem. While deciduous forests with various leaf forms employ distinct ecological strategies, their vegetation coverage dynamics across the growing season and intra-seasonal periods, as well as their responses to climatic change, remain unclear. Leaf Area Index (LAI) serves as a primary parameter of physiological functional status for canopies.
Using MODIS LAI data, this study analyzed variations in LAI of deciduous needleleaf forests (LAI
DNF
) and deciduous broadleaf forests (LAI
DBF
) across the Northern Hemisphere and assessed their climatic drivers.
This study revealed that from 2003 to 2021, LAIDBF and LAIDNF during the growing season exhibited increased rates of 0.91·10
–2
and 0.92·10
–2
m
2
m
-2
yr
-1
, respectively; however, their intra-seasonal patterns differed significantly. LAI
DBF
increased significantly in both June–August and September, whereas the significant increase in LAI
DNF
was primarily concentrated in June–August. The increase in precipitation was associated with a general decrease in LAI for both forest types during the growing season and in varied periods; conversely, rising temperatures increased LAI across the growing season, in both May and June–August across all leaf forms. Nevertheless, it should be emphasized that the responses of LAI
DBF
and LAI
DNF
to temperature changes in September diverged to some extent: warming was positively associated with an increased LAI
DBF
but showed no statistically significant change in LAI
DNF
. Interestingly, we identified asymmetric associations of LAI with diurnal warming: warming during the day had a notably more pronounced positive impact on both LAI
DBF
and LAI
DNF
in most regions, whereas the response of LAI
DBF
to nighttime warming showed spatial heterogeneity. Specifically, nighttime warming was positively associated with LAI
DBF
in areas with favorable thermal conditions (eastern United States), but negatively associated with LAI
DBF
in cold, high-latitude regions (northeast China).
Our findings highlight the seasonally distinct responses of two deciduous forest types to climatic change and suggest that the asymmetric impacts of diurnal warming on different leaf forms should be incorporated into forest canopy leaf area dynamic prediction models.
Seasonally dry tropical forests (SDTF) host ecologically distinct vegetation types, with differences in forest structure, taxonomic diversity, and aboveground carbon stocks that remain insufficiently quantified. We compared a semi-evergreen tropical forest (SETF) and a seasonally flooded lowland forest (SFLF) in the...
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Tropical dry forests are among the most threatened ecosystems worldwide, yet the mechanisms controlling tree growth at local scales remain poorly understood. The aim of this study was to combine available information on environmental conditions and tree functional traits to better understand their relevance for tree gr...
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