文献类型：期刊文献

英文题名：Impacts of climate change on forest growth in saline-alkali land of Yellow River Delta, North China

作者：Wang, Rongjia[1] Zhang, Jianfeng[1] Zhang, Deshun[2] Dong, Linshui[3] Qin, Guanghua[4] Wang, Shufeng[1]

第一作者：Wang, Rongjia

通信作者：Zhang, JF[1]|[a00053992de0c59edafc6]张建锋;

机构：[1]Chinese Acad Forestry, Inst Subtrop Forestry, Hangzhou 311400, Zhejiang, Peoples R China;[2]Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China;[3]Binzhou Univ, Shandong Prov Key Lab Ecoenvironm Sci Yellow Rive, Binzhou 256603, Peoples R China;[4]Shandong Acad Forestry, Jinan 250014, Shandong, Peoples R China

年份：2022

卷号：74

外文期刊名：DENDROCHRONOLOGIA

收录：;Scopus(收录号：2-s2.0-85131135308);WOS:【SCI-EXPANDED(收录号:WOS:000808352200002)】；

基金：This research is supported by the Key R & D Program of Zhejiang Province (2021C02038) and the Project of National Natural Science Foundation of China (31770747) . We appropriate all the helps by per-sons from local village.

语种：英文

外文关键词：Climate change; Saline-alkali land; Forest growth; Yellow River Delta; Tree growth model

摘要：Climate change is an important factor affecting forest growth. Therefore, approaching the impacts of climate change on forest growth is of great significance to ameliorate this degraded land and push up forestry development. This paper initially probes the impacts of climate change on tree growth in Yellow River Delta region and responds of different tree species on the change. In this study, five species of 22-year-old trees were selected, and the tree biomass was measured by standard site methods and tree ring sampling to pursue the impacts of climate change on forest growth. Besides, growth models of the different tree species were established and verified using Robinia pseudoacacia as an example. The results showed: (1) In the Yellow River Delta, the most adapted tree species are Fraxinus chinensis and R. pseudoacacia. (2) Precipitation is the main meteorological factor affecting tree growth, while temperature and air pressure are also significantly correlated with tree growth. (3) Linear and power function models can simulate tree growth well. From the verification results, the modified R. pseudoacacia biomass is 294.54 t/ha, and the simulated biomass of the linear function model is close to the value. It is expected that the research not only provides a theoretical basis for forestry development in saline lands, but also helps to rehabilitate saline-alkali lands and cope with climate change.