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Topsoil nitrogen is the main source of plant nutrient uptake, and its dynamic changes are closely related
to forest productivity and ecosystem carbon and nitrogen cycling.
As the largest tributary of the Pearl River, the Xijiang River Basin accounts for 78% of the total water network of the Pearl River, and the stability of the ecosystem of the Xijiang River Basin is crucial
to the development of the Pearl River Delta.
Under the guidance of Professor Huang Jianguo and Professor Ding Xiaogang, and under the guidance of Professor Huang Jianguo and Professor Ding Xiaogang, Kang Jian, a doctoral candidate at the South China Botanical Garden of the Chinese Academy of Sciences, collected and measured the total nitrogen content of forest soil samples in the middle and lower reaches of the Xijiang River Basin by using linear mixed effect and generalized additive model, and studied the spatial pattern of forest soil surface nitrogen (SN) and its influencing factors
.
The results showed that the total nitrogen content of broadleaf forest soil was significantly higher than that in coniferous forest soil
.
Forest SN is affected by soil properties and diversity indicators, and the complete model constructed according to the influencing factors is more suitable for broadleaf forests
.
Soil properties were the main explanatory factors for SN (53.
53% for the whole model and 61.
02% for broadleaf forests), and subsurface soil nitrogen (sub SN).
It was the largest explanatory factor (48.
52% for the whole model and 58.
04% for broadleaf forest).
Therefore, the researchers believe that forest management in the Xijiang River Basin should avoid destroying the subsoil and prevent nitrogen loss
.
The results of the study were published in the International Journal of Environmental Science under the title "Relative importance of soil properties and functional diversity to the spatial pattern of the forest soil nitrogen" Ecological Indicators (IF=6.
263
).
This research was supported
by the National Natural Science Foundation of China and the Forestry Science and Technology Program of Guangdong Forestry Bureau.
Article link:
https://authors.
elsevier.
com/sd/article/S1470-160X(22)01279-1
