A spatially explicit empirical model of structural development processes in natural forests based on climate and topography

© 2019 The Authors. Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology.

Détails bibliographiques
Publié dans:Conservation biology : the journal of the Society for Conservation Biology. - 1989. - 34(2020), 1 vom: 19. Feb., Seite 194-206
Auteur principal: Yamaura, Yuichi (Auteur)
Autres auteurs: Lindenmayer, David, Yamada, Yusuke, Gong, Hao, Matsuura, Toshiya, Mitsuda, Yasushi, Masaki, Takashi
Format: Article en ligne
Langue:English
Publié: 2020
Accès à la collection:Conservation biology : the journal of the Society for Conservation Biology
Sujets:Journal Article Research Support, Non-U.S. Gov't DEM broadleaved tree conifer plantation digital elevation model mapeo mapping modelo de elevación digital old-growth index plus... plantación de coníferas profundidad de nieve snow depth temperatura temperature terrain terreno árbol de hojas anchas índice de crecimiento antiguo 地形 数字高程模型 (DEM) 温度 积雪深度 绘图 老成林指数 针叶林林场 阔叶树
Description
Résumé:© 2019 The Authors. Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology.
Stand structure develops with stand age. Old-growth forests with well-developed stand structure support many species. However, development rates of stand structure likely vary with climate and topography. We modeled structural development of 4 key stand variables and a composite old-growth index as functions of climatic and topographic covariates. We used a hierarchical Bayesian method for analysis of extensive snap-shot National Forest Inventory (NFI) data in Japan (n = 9244) to account for differences in stand age. Development rates of structural variables and the old-growth index exhibited curvilinear responses to environmental covariates. Flat sites were characterized by high rates of structural development. Approximately 150 years were generally required to attain high values (approximately 0.8) of the old-growth index. However, the predicted age to achieve specific values varied depending on environmental conditions. Spatial predictions highlighted regional variation in potential structural development rates. For example, sometimes there were differences of >100 years among sites, even in the same catchment, in attainment of a medium index value (0.5) after timber harvesting. The NFI data suggested that natural forests, especially old natural forests (>150 years), remain generally on unproductive ridges, steep slopes, or areas with low temperature and deep snow, where many structural variables show slow development rates. We suggest that maintenance and restoration of old natural forests on flat sites should be prioritized for conservation due to the likely rapid development of stand structure, although remaining natural forests on low-productivity sites are still important and should be protected
Description:Date Completed 21.07.2020
Date Revised 21.07.2020
published: Print-Electronic
Citation Status MEDLINE
ISSN:1523-1739
DOI:10.1111/cobi.13370