Библиографическое описание:Simulated and predicted responses of tree stem radial growth to climate change—A case study in semi-arid north central China / M. He [et al.]. - Текст : непосредственный // Dendrochronologia. - 2019. - Vol. 58. - P. 125632. - Cited Reference Count: 69. - The authors are grateful to the editor and the two anonymous reviewers for their invaluable comments. This study was jointly funded by the National Natural Science Foundation of China (Grants no. 41520104005and41325008). It was also supported by the Belmont Forum and JPI-Climate, Collaborative Research Action 'INTEGRATE, An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes' (NSFC grant no. 41661144008). V. Shishov was supported by the Russian Science Foundation (project #14-14-00219 P for simulation approach), the State assignment "Science of Future" (project #5.3508.2017/4.6 for software development). Minhui He appreciates the support by the Alexander von Humboldt Foundation., National Natural Science Foundation of ChinaNational Natural Science Foundation of China. 41520104005, 41325008. - Belmont Forum and JPI-Climate, Collaborative Research Action 'INTEGRATE, An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes' (NSFC). 41661144008. - Russian Science FoundationRussian Science Foundation (RSF). 14-14-00219 P. - State assignment "Science of Future". 5.3508.2017/4.6. - ISSN ISSN- 112, DOI 10.1016/j.dendro.2019.125632.
Аннотация:Precise knowledge how tree growth will respond to future climate change is essential for the adapted management of forest ecosystems. By conducting sensitivity tests, tree-ring process-based cambial growth models can provide an innovative way to better un
Держатель оригинала документа:Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, 712100, China, Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, L
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