Seasonality of leaf litter and leaf area index data for various tree species in a cool-temperate deciduous broad-leaved forest, Japan, 2005–2014

2017 ◽  
Vol 32 (3) ◽  
pp. 297-297 ◽  
Author(s):  
Shin Nagai ◽  
Kenlo Nishida Nasahara ◽  
Shinpei Yoshitake ◽  
Taku M. Saitoh
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Leaf Litter ◽  
Tree Species ◽  
Area Index ◽  
Index Data ◽  
Broad Leaved Forest ◽  
Cool Temperate ◽  
Temperate Deciduous ◽  
Leaved Forest

scholarly journals A Spatial Relationship between Canopy and Understory Leaf Area Index in an Old-Growth Cool-Temperate Deciduous Forest

Forests ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1037
Author(s):  
Yosuke Tanioka ◽  
Yihan Cai ◽  
Hideyuki Ida ◽  
Mitsuru Hirota
Keyword(s):  
Spatial Distribution ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Deciduous Forest ◽  
Multiple Point ◽  
Spatial And Temporal Variability ◽  
Temperate Deciduous Forest ◽  
Area Index ◽  
Cool Temperate ◽  
Temperate Deciduous

Quantification of leaf area index (LAI) is essential for understanding forest productivity and the atmosphere–vegetation interface, where the majority of gas and energy exchange occurs. LAI is one of the most difficult plant variables to adequately quantify, owing to large spatial and temporal variability, and few studies have examined the horizontal and vertical distribution of LAI in forest ecosystems. In this study, we demonstrated the LAI distribution in each layer from the understory to canopy using multiple-point measurements (121 points) and examined the relationships among layers in a cool-temperate deciduous forest. LAI at each point, and the spatial distribution of LAI in each layer, varied within the forest. The spatial distribution of LAI in the upper layer was more heterogeneous than that of LAI at the scale of the entire forest. Significant negative correlations were observed between the upper- and lower-layer LAI. Our results indicate that the understory compensates for gaps in LAI in the upper layer; thus, the LAI of the entire forest tends to remain spatially homogeneous even in a mature forest ecosystem.

LARGE ONTOGENETIC DECLINES IN INTRA-CROWN LEAF AREA INDEX IN TWO TEMPERATE DECIDUOUS TREE SPECIES

Ecology ◽  
2008 ◽  
Vol 89 (3) ◽  
pp. 744-753 ◽  
Author(s):  
C. A. Nock ◽  
J. P. Caspersen ◽  
S. C. Thomas
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Tree Species ◽  
Deciduous Tree ◽  
Area Index ◽  
Temperate Deciduous

scholarly journals Vertical integration of leaf area index in a Japanese deciduous broad-leaved forest

2008 ◽  
Vol 148 (6-7) ◽  
pp. 1136-1146 ◽  
Author(s):  
Kenlo Nishida Nasahara ◽  
Hiroyuki Muraoka ◽  
Shin Nagai ◽  
Hiroaki Mikami
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Vertical Integration ◽  
Area Index ◽  
Broad Leaved Forest ◽  
Leaved Forest

Greenhouse Gas Budget of a Cool-Temperate Deciduous Broad-Leaved Forest in Japan Estimated Using a Process-Based Model

Ecosystems ◽  
2010 ◽  
Vol 13 (3) ◽  
pp. 472-483 ◽  
Author(s):  
Motoko Inatomi ◽  
Akihiko Ito ◽  
Kentaro Ishijima ◽  
Shohei Murayama
Keyword(s):  
Greenhouse Gas ◽  
Broad Leaved Forest ◽  
Cool Temperate ◽  
Temperate Deciduous ◽  
Greenhouse Gas Budget ◽  
Leaved Forest

scholarly journals Observed Vegetation Greening and Its Relationships with Cropland Changes and Climate in China

Land ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 274
Author(s):  
Yuzhen Zhang ◽  
Shunlin Liang ◽  
Zhiqiang Xiao
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Boosted Regression Trees ◽  
Trend Detection ◽  
Area Index ◽  
Vegetation Greenness ◽  
Detection Algorithms ◽  
Index Data

Chinese croplands have changed considerably over the past decades, but their impacts on the environment remain underexplored. Meanwhile, understanding the contributions of human activities to vegetation greenness has been attracting more attention but still needs to be improved. To address both issues, this study explored vegetation greening and its relationships with Chinese cropland changes and climate. Greenness trends were first identified from the normalized difference vegetation index and leaf area index from 1982–2015 using three trend detection algorithms. Boosted regression trees were then performed to explore underlying relationships between vegetation greening and cropland and climate predictors. The results showed the widespread greening in Chinese croplands but large discrepancies in greenness trends characterized by different metrics. Annual greenness trends in most Chinese croplands were more likely nonlinearly associated with climate compared with cropland changes, while cropland percentage only predominantly contributed to vegetation greening in the Sichuan Basin and its surrounding regions with leaf area index data and, in the Northeast China Plain, with vegetation index data. Results highlight both the differences in vegetation greenness using different indicators and further impacts on the nonlinear relationships with cropland and climate, which have been largely ignored in previous studies.

Evaluation of the observation operator Jacobian for leaf area index data assimilation with an extended Kalman filter

2010 ◽  
Vol 115 (D9) ◽  
Author(s):  
Christoph Rüdiger ◽  
Clément Albergel ◽  
Jean-François Mahfouf ◽  
Jean-Christophe Calvet ◽  
Jeffrey P. Walker
Keyword(s):  
Kalman Filter ◽  
Data Assimilation ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Extended Kalman Filter ◽  
Area Index ◽  
Observation Operator ◽  
Index Data
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