Premium
Seasonality of leaf litter and leaf area index data for various tree species in a cool‐temperate deciduous broad‐leaved forest, Japan, 2005–2014
Author(s) -
Nagai Shin,
Nasahara Kenlo Nishida,
Yoshitake Shinpei,
Saitoh Taku M.
Publication year - 2017
Publication title -
ecological research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.628
H-Index - 68
eISSN - 1440-1703
pISSN - 0912-3814
DOI - 10.1007/s11284-017-1452-5
Subject(s) - deciduous , leaf area index , evergreen , plant litter , temperate deciduous forest , seasonality , specific leaf area , temperate climate , phenology , temperate rainforest , temperate forest , environmental science , biology , ecosystem , ecology , botany , photosynthesis
This paper reports seasonal data regarding leaf litter for 14 deciduous broad‐leaved species and one evergreen coniferous species as well as leaf area index (LAI) data for the 14 deciduous broad‐leaved species in a cool‐temperate deciduous broad‐leaved forest in Japan. The seasonal leaf biomass of various tree species is important for accurately evaluating ecosystem functions such as photosynthesis and evapotranspiration under climate change. However, there is a lack of freely available, long‐term data. We collected litterfall every 1 to 4 weeks from September or October to November or December each year from 2005 to 2014 in Takayama, Japan (36°08′46″N, 137°25′23″E, 1420 m a.s.l.). After sorting the litter into leaves (according to species categories), stems + branches, and “other”, we dried and weighed the litter groups. We also collected seasonal leaf data (number of leaves and leaf length and width) for each broad‐leaved species, which we recorded every 1 to 4 weeks from April or May to October or November using multiple target shoots. To estimate the LAI in autumn for each deciduous broad‐leaved species, we used a semi‐empirical model of the vertical integration of leaf dry mass per unit leaf area. To estimate the LAI in spring and summer, we used the relationship between the LAI in autumn and the seasonal leaf data. Our data provide input, calibration, and validation parameters for determining LAI based on satellite remote‐sensing observations or radiative transfer models and for use in ecosystem models.