Long-Term Monitoring and Research in Asian University Forests: Understanding Environmental Changes and Ecosystem Responses

by Toshiaki Owari (Editor), Sangjun Im (Editor), Biing T. Guan (Editor)

Overview

This book disseminates various long-term data and research results from university forests in Asia towards realizing adaptive forest management and conservation based on a comprehensive understanding of environmental changes and ecological responses.

University forests - which refer to large, forested areas owned or controlled by universities and devoted primarily to research and teaching programs in forest-related sciences - have collected, managed and analyzed long-term meteorological, hydrological, biological and geographic data under an organizationally stable observation system. With the influence of global warming becoming apparent and extreme weather events occurring more frequently in the region, it is an important and urgent challenge to understand long-term environmental and ecosystem changes in forests and provide robust scientific knowledge on how ecosystems respond to those changes. This book is a step towards addressing the challenge.

The chapters in this book were originally published as a special issue of the Journal of Forest Research.

Product Details

ISBN-13:	9781000598209
Publisher:	CRC Press
Publication date:	06/09/2022
Sold by:	Barnes & Noble
Format:	eBook
Pages:	130
File size:	10 MB

About the Author

Toshiaki Owari is Associate Professor of Forest and Water Resources Management at the University of Tokyo, Japan. He is currently the Director of the University of Tokyo Hokkaido Forest, Japan, and Deputy Coordinator of IUFRO Research Group 1.05.00 (Uneven-aged silviculture) and Working Party 1.01.09 (Ecology and silviculture of fir).

Sangjun Im is Professor of the Department of Agriculture, Forestry and Bioresources at Seoul National University, Republic of Korea. He is now Deputy Coordinator of IUFRO Research Group 1.06.00 (Restoration of degraded sites) and a member of the editorial board of Landslides and Landscape and Ecological Engineering.

Biing T. Guan is Professor of the School of Forestry and Resource Conservation, National Taiwan University, Taipei, Taiwan.

Table of Contents

Foreword Introduction – Long-term monitoring and research in Asian university forests: towards further understanding of environmental changes and ecosystem responses 1. Climate classification of Asian university forests under current and future climate 2. Soil conservation service curve number determination for forest cover using rainfall and runoff data in experimental forests 3. Analyzing the leafing phenology of Quercus crispula Blume using the growing degree days model 4. Effects of typhoon disturbances on seasonal and interannual patterns of litterfall on coniferous and broadleaf plantations in Xitou, central Taiwan 5. Differences in climate and drought response of the exotic plantation species Abies firma, Cryptomeria japonica, and Chamaecyparis obtusa in southern Korea 6. Investigating the factors influencing trap capture of bark and ambrosia beetles using long-term trapping data in a cool temperate forest in central Japan 7. Influence of seasonality and climate on captures of wood-boring Coleoptera (Bostrichidae and Curculionidae (Scolytinae and Platypodinae)) using ethanol-baited traps in a seasonal tropical forest of northern Thailand 8. Spatio-temporal variation in egg-laying dates of nestbox-breeding varied tits (Poecile varius) in response to spring pre-breeding period temperatures at long-term study sites in South Korea and Japan 9. Modeling stand basal area growth of Cryptomeria japonica D. Don under different planting densities in Taiwan 10. Long observation period improves growth prediction in old Sugi (Cryptomeria japonica) forest plantations 11. Predicting individual tree growth of high-value timber species in mixed conifer-broadleaf forests in northern Japan using long-term forest measurement data 12. Evaluating relationships of standing stock, LAI and NDVI at a subtropical reforestation site in southern Taiwan using field and satellite data