Nation‐wide litter fall data from 21 forests of the Monitoring Sites 1000 Project in Japan

Abstract This data paper reports litter fall data collected in a network of 21 forest sites in Japan. This is the largest litter fall data set freely available in Japan to date. The network is a part of the Monitoring Sites 1000 Project launched by the Ministry of the Environment, Japan. It covers s...

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Bibliographic Details
Published in:Ecological Research
Main Authors: Suzuki, Satoshi N., Ishihara, Masae I., Nakamura, Masahiro, Abe, Shin, Hiura, Tsutom, Homma, Kosuke, Higa, Motoki, Hoshino, Daisuke, Hoshizaki, Kazuhiko, Ida, Hideyuki, Ishida, Ken, Kawanishi, Motohiro, Kobayashi, Kazutaka, Kuraji, Koichiro, Kuramoto, Shigeo, Masaki, Takashi, Niiyama, Kaoru, Noguchi, Mahoko, Nomiya, Haruto, Saito, Satoshi, Sakai, Takeshi, Sakimoto, Michinori, Sakio, Hitoshi, Sato, Tamotsu, Shibano, Hirofumi, Shibata, Mitsue, Suzuki, Maki, Takashima, Atsushi, Tanaka, Hiroshi, Takagi, Masahiro, Tashiro, Naoaki, Tokuchi, Naoko, Yoshida, Toshiya, Yoshida, Yumiko
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2012
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Online Access:http://dx.doi.org/10.1007/s11284-012-0980-2
http://www.springerlink.com/index/pdf/10.1007/s11284-012-0980-2
Description
Summary:Abstract This data paper reports litter fall data collected in a network of 21 forest sites in Japan. This is the largest litter fall data set freely available in Japan to date. The network is a part of the Monitoring Sites 1000 Project launched by the Ministry of the Environment, Japan. It covers subarctic to subtropical climate zones and the four major forest types in Japan. Twenty‐three permanent plots in which usually 25 litter traps were installed were established in old‐growth or secondary natural forests. Litter falls were collected monthly from 2004, and sorted into leaves, branches, reproductive structures and miscellaneous. The data provide seasonal patterns and inter‐annual dynamics of litter falls, and their geographical patterns, and offer good opportunities for meta‐analyses and comparative studies among forests.