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生态学杂志 ›› 2022, Vol. 41 ›› Issue (2): 209-217.doi: 10.13292/j.1000-4890.202202.020

• 研究报告 • 上一篇    下一篇

基于BP神经网络模型的全球森林土壤异养硝化过程N2O排放通量估算

刘炳彦1,2,张军辉1*,耿世聪1,陶晶晶1,2,冯月1   

  1. 1中国科学院沈阳应用生态研究所森林生态与管理重点实验室, 沈阳 110016; 2中国科学院大学, 北京 100049)
  • 出版日期:2022-02-10 发布日期:2022-08-10

Estimation of N2O emission flux from heterotrophic nitrification process in global forest soils based on BP neural network model.

LIU Bing-yan1,2, ZHANG Jun-hui1*, GENG Shi-cong1, TAO Jing-jing1,2, FENG Yue1   

  1. (1Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 2University of Chinese Academy of Sciences, Beijing 100049, China).
  • Online:2022-02-10 Published:2022-08-10

摘要: N2O作为重要的温室气体之一,对地球和人类都有很大的影响。为了深入探究对有机氮异养硝化作用及其产生N2O过程的影响机制,完善全球N2O通量估算模型,本研究采用Pearson相关性分析与广义可加模型(GAM)对全球135个样点有机氮异养硝化速率及其产生N2O速率的影响因子进行分析,然后将主要影响因子作为BP神经网络的输入层来模拟全球森林土壤有机氮异养硝化速率及其产生N2O速率的空间分布。结果显示,土壤pH和土壤C/N是影响有机氮异养硝化速率的主要因素,土壤C/N、土壤孔隙含水量(WFPS)以及土壤温度是影响有机氮异养硝化产生N2O速率的主要因素。全球森林土壤异养硝化速率平均为0.4241(0.0014~0.689)μg N·g-1·d-1,异养硝化产生N2O速率平均为0.2936(0.21~1.103)μg N2O·kg-1·d-1;北纬50°左右的森林土壤异养硝化速率及其产生的N2O的速率均较高,而在南纬30°至北纬30°的森林土壤异养硝化速率及其N2O的产生速率均较低,尽管在亚洲东北部地区森林土壤异养硝化速率很高,但其产生N2O的速率却很小;全球森林土壤有机氮异养硝化作用下N2O的排放量约为(1.4584±0.3791) Tg N·a-1,是天然土壤N2O排放量的26.04%,是全球N2O排放量的8.58%。

关键词: 异养硝化速率, 异养硝化产生N2O速率, BP神经网络, 环境因子, 空间分布

Abstract: As one of the main greenhouse gases, N2O has a significant impact on the Earth and human beings. To explore the influence mechanisms of heterotrophic nitrification of organic N and N2O emission process and improve global N2O flux estimation model, Pearson correlation analysis and generalized additive model (GAM) were used to analyze the influencing factors of heterotrophic nitrification rates of organic N and N2O emission rates in 135 sampling sites worldwide. The major influencing factors were included into BP neural network model to estimate the spatial distribution of heterotrophic nitrification rates of organic N and N2O emission rates in global forest soils. The results showed that soil pH and C/N were the main factors affecting heterotrophic nitrification rate of organic N. Soil C/N, water-filled pore space (WFPS), and temperature are the main factors affecting N2O emission rate during heterotrophic nitrification process. The average heterotrophic nitrification rate was 0.4241 (0.0014-0.689) μg N·g-1·d-1, and the average N2O emission rate in the heterotrophic nitrification process was 0.2936 (0.21-1.103) μg N2O·kg-1·d-1 in global forest soils. The heterotrophic nitrification rate and N2O emission rate in the heterotrophic nitrification process were higher in forest soils around 50° N. In contrast, the two rates were lower in forest soils from 30° S to 30° N. Although heterotrophic nitrification rate was high, N2O emission rate in the heterotrophic nitrification process was low in forest soils in Northeast Asia. N2O emission flux from the heterotrophic nitrification of organic N was (1.4584±0.3791) Tg N·a-1 in global forest soils, accounting for 26.04% of N2O emission from natural soils and 8.58% of global N2Oemission.

Key words: heterotrophic nitrification rate N2O emission rate in heterotrophic nitrification process, BP neural network, environmental factor, spatial distribution.