Long-Term Monitoring and Research in Asian University Forests (eBook, ePUB)

Understanding Environmental Changes and Ecosystem Responses
Redaktion: Owari, Toshiaki; Guan, Biing T.; Im, Sangjun

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 130
• Erscheinungstermin: 9. Juni 2022
• Englisch
• ISBN-13: 9781000598209
• Artikelnr.: 63609879

Inhaltsangabe

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