文章丨气候变化对黄河三角洲盐碱地森林生长的影响
2022-05-31 16:51阅读：
Rongjia Wang, Jianfeng Zhang,Deshun Zhang, Linshui Dong,
Guanghua Qin, Shufeng Wang. Impacts of climate change on forest
growth in saline-alkali land of Yellow River Delta, North
China[J].Dendrochronologia.74 (2022) 125975
https://doi.org/10.1016/j.dendro.2022.125975
Impacts of Climate Change on Forest Growth in
Saline-alkali Land of Yellow River Delta, North
China
Rongjia Wanga,1,Jianfeng
Zhanga,*, DeshunZhangb, Linshui
Dongc, Guanghua Qind,
ShufengWanga,1
a Institute of Subtropical Forestry,
Chinese Academy of Forestry, Hangzhou311400, China
b College of Architecture and Urban
Planning, Tongji University, Shanghai 20092,China
c
Shandong Provincial Key Laboratory of Eco-Environment Science for
the Yellow River Delta, Binzhou University, Binzhou 256603,
China
d Shandong Academy of
Forestry, Ji’nan 250014, China
Abstract: 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 areFraxinus 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 theresearch not only provides a theoretical basis for
forestry development insaline lands, but also helps to rehabilitate
saline-alkali lands and cope with climate change.
1 Introduction
2 Materials and Methods
2.1 Description of
Site
2.2 Description of test plot and period
climate
2.3 Research methods
3 Results
3.1 Tree growth in the Yelloew
River Delta
3.2 Meteorological factors affecting
tree growth
3.3. Growth models of the different tree
species
3.3.1. Growth models of R.
pseudoacacia3.3.2. Growth models of
F. chinensis
3.3.3. Growth models of
U.
pumila3.3.4. Growth models of
A.
altissimus3.3.5. Growth models of
S. japonica
3.4. Response of different tree species to
meteorological factors
4. Discussion
4.1. Adaptability of tree species in Yellow
River Delta
4.2. Effects of different meteorological
factors on tree growth
4.3. Tree growth model
5. Conclusions
Fig. 1. Geographical
location of the test area.
Table 1 Basic features
of the tested forests.
Table 2 Meteorological data
from 1984 to 2005 in the region.
Fig. 2. The growth of
different tree species in the Yellow River Delta
region.
Fig. 3. Correlation
coefficients between tree growth and meteorological
factors.
Table 3 Correlation coefficients
between tree growth and meteorological factors.
Table 4 Growth models of
the five tree species.
Fig. 4.
Simulated growth trends of
study species using different growth models: (a)Robinia
pseudoacacia, (b) Fraxinus
chinensis, (c) Ulmus
pumila, (d)
Ailanthus
altissimus, and (e)
Sophora
japonica.
Hence it expected that this study not only help push up
forestry development in the region, but also shed light on the
response of forests to climate change, which is of great
significance for coping with global change and promoting vegetation
restoration in degraded lands.
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 persons from local village.
