Le Zhang , Liang Jiao , Ruhong Xue , Peng Zhang , Xin Yuan , Qian Li , Kuan Zhang
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引用次数: 0
Abstract
Climate change profoundly affects tree radial growth dynamics and phenological changes, yet the relationships between radial growth and cambial phenology of dominant tree species at different altitudes on the Tibetan Plateau remain unclear under the background of climate change. In this study, we analyzed the characteristics and relationships between intra-annual growth rates and growth phenology of Qinghai spruce using tree-ring width data from 1973 to 2022 at different altitudes on the Tibetan Plateau based on a growth process model. The results showed that the inter-annual variations of radial growth at high altitude exhibited a gradual increasing trend, with intra-annual growth rates displaying a unimodal pattern. Additionally, there were no significant differences in growth rates dependence on temperature and soil moisture between wide and narrow rings. Inter-annual variations of radial growth at low altitude showed a gradual decreasing trend, with intra-annual growth rates exhibiting a bimodal pattern. Growth rates dependence on temperature did not differ significantly between wide and narrow rings, but the growth rates dependence on soil moisture was significantly different. Phenological characteristics are the key factors to determine inter-annual tree radial growth at high altitude, while both phenological characteristics and soil moisture are the main reasons to determine inter-annual and intra-annual tree radial growth at low altitude. The findings provide a theoretical basis for scientific management of forest ecosystems at different altitudes on the Tibetan Plateau and accurate prediction of forest growth dynamics under future climate change.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).