Detection of Influencing Factors of Spatial Variability of Soil Respiration in Pangquangou Nature Reserve

被引：0

作者：

Li X.-M. ^{[1
]}

Yan J.-X. ^{[1
]}

Du Z.-Q. ^{[1
]}

Wang Y. ^{[1
]}

机构：

[1] Institute of Loess Plateau, Shanxi University, Taiyuan

来源：

Huanjing Kexue/Environmental Science | 2022年 / 43卷 / 09期

关键词：

driving factors; geodetector; Pangquangou; soil respiration; spatial change;

D O I：

10.13227/j.hjkx.202110154

中图分类号：

学科分类号：

摘要：

Soil respiration is an important process in maintaining global carbon balance. Taking the Pangquangou Nature Reserve as the research area, based on the field measurement of soil respiration (Rs ) data combined with altitude (ELE), soil temperature (T), soil moisture (SWC), normalized vegetation index (NDVI), slope (slope), soil total carbon (C), total nitrogen (N), and soil bulk density (BD), we analyzed the main driving forces and interactions of Rs spatial differentiation by using the geographic detector model. The results showed that: 1 the spatial variation of Rs and its influencing factors in the study area was moderate. The Rs was significantly positively correlated with NDVI, T, and N (P<0. 01) and negatively with ELE, slope, and SWC (P<0. 01). The Rs was significantly correlated with BD(P<0. 05) but not with C (P>0. 05). 2 The multivariate linear model composed of NDVI and T explained 64. 3% of Rs spatial variation. 3 ELE, T, and NDVI were the dominant driving forces of Rs spatial differentiation in the study area, which could explain 64%, 59%, and 48% of the spatial variability. 4 The interaction of the two factors enhanced the explanatory power of Rs spatial differentiation, and the maximum interaction factors were ELE疑BD (q =0. 73), and T疑slope (q =0. 74), respectively. Therefore, in the process of Rs estimation, combined with topographical and environmental conditions, the interaction between multiple factors should be considered. © 2022 Science Press. All rights reserved.

引用

页码：4858 / 4866

页数：8

共 37 条

[1]

Shi B K, Gao W F, Cai H Y, Et al., Spatial variation of soil respiration is linked to the forest structure and soil parameters in an old-growth mixed broadleaved-Korean pine forest in northeastern China, Plant and Soil, 400, 1-2, pp. 263-274, (2016)

[2]

Liang G P, Cai A D, Wu H J, Et al., Soil biochemical parameters in the rhizosphere contribute more to changes in soil respiration and its components than those in the bulk soil under nitrogen application in croplands, Plant and Soil, 435, 1-2, pp. 111-125, (2019)

[3]

Han M G, Shi B K, Jin G Z., Spatial patterns of soil respiration in a spruce-fir valley forest, Northeast China, Journal of Soils and Sediments, 19, 1, pp. 10-22, (2019)

[4]

Zheng J J, Huang S Y, Jia X, Et al., Spatial variation and controlling factors of temperature sensitivity of soil respiration in forest ecosystems across China [ J], Chinese Journal of Plant Ecology, 44, 6, pp. 687-698, (2020)

[5]

Song Q H, Tan Z H, Zhang Y P, Et al., Spatial heterogeneity of soil respiration in a seasonal rainforest with complex terrain, IForest-Biogeosciences and Forestry, 6, 2, pp. 65-72, (2013)

[6]

Tian Q X, Wang D Y, Tang Y N, Et al., Topographic controls on the variability of soil respiration in a humid subtropical forest, Biogeochemistry, 145, 1-2, pp. 177-192, (2019)

[7]

Jiao Z., Spatiotemporal dynamics in soil respiration components of the temperate forests in the Maoershan region of Northeast China, (2019)

[8]

Gao G Q, Goebel M, Wang Y, Et al., Spatial-temporal variations of absorptive fine roots in the organic and soil layers of a Lari曾gmelinii forest, Trees, 35, 3, pp. 1013-1023, (2021)

[9]

Cai Y H, Nishimura T, Ida H, Et al., Spatial variation in soil respiration is determined by forest canopy structure through soil water content in a mature beech forest[ J], Forest Ecology and Management, 501, (2021)

[10]

Liao Y., Soil organic carbon change and soil respiration characteristics in the typical regions with low temperature in China, (2011)

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