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植被类型和土壤性质对中国东北盐碱化水库湿地区域土壤碳氮的影响

Effects of Vegetation Types and Soil Properties on Regional Soil Carbon and Nitrogen in Salinized Reservoir Wetland, Northeast China.

作者信息

Wang Yuchen, Bao Heng, Kavana David J, Li Yuncong, Li Xiaoyu, Yan Linlu, Xu Wenjing, Yu Bing

机构信息

College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.

Department of Soil and Water Sciences, Tropical Research and Education Center, IFAS, University of Florida, Homestead, FL 33031, USA.

出版信息

Plants (Basel). 2023 Nov 3;12(21):3767. doi: 10.3390/plants12213767.

Abstract

This study investigated the spatial variability in soil organic carbon (SOC), total nitrogen (TN), soil microbial biomass carbon (SMBC), soil microbial biomass nitrogen (SMBN) and their possible relationships with other soil properties in the Hongqipao reservoir, which is dominated by different vegetation types. The results showed that there were high spatial variabilities in SOC, TN, SMBC and SMBN, and that the SOC, TN, SMBC and SMBN contents decreased with increasing soil depth in the Hongqipao reservoir. The SOC was significantly positively correlated with TN, SMBC, moisture content (MC) and negatively correlated with carbon to nitrogen ratio (C:N ratio) and bulk density (BD). Soil TN was significantly positively correlated with SMBC, SMBN, MC and negatively correlated with the C:N ratio, BD and pH. The SMBC was significantly positively correlated with SMBN, MC and negatively correlated with the C:N ratio, BD and pH. The SMBN was significantly negatively correlated with the C:N ratio and BD. All of the measures of soil properties in this study could explain the higher significant variability in the response variables (SOC, TN, SMBC and SMBN contents). The generalized additive model (GAM) showed that SOC and TN had different influencing factors in different soil depths. The structural equation model (SEM) showed that vegetation types had a significantly positive effect on TN and SMBN, and the soil depths had a significantly positive effect on SOC and a significantly negative effect on TN and SMBC. This study further suggests that vegetation types play a major role in determining the spatial characteristics of soil carbon and nitrogen, and any changes in the vegetation types in the reservoir may influence the distributions of soil carbon and nitrogen. This may affect the global carbon and nitrogen budgets and the atmospheric greenhouse gas concentration significantly.

摘要

本研究调查了红旗袍水库中土壤有机碳(SOC)、总氮(TN)、土壤微生物生物量碳(SMBC)、土壤微生物生物量氮(SMBN)的空间变异性,以及它们与其他土壤性质之间可能存在的关系,该水库以不同植被类型为主。结果表明,红旗袍水库中SOC、TN、SMBC和SMBN存在高度空间变异性,且SOC、TN、SMBC和SMBN含量随土壤深度增加而降低。SOC与TN、SMBC、含水量(MC)呈显著正相关,与碳氮比(C:N比)和容重(BD)呈负相关。土壤TN与SMBC、SMBN、MC呈显著正相关,与C:N比、BD和pH呈负相关。SMBC与SMBN、MC呈显著正相关,与C:N比、BD和pH呈负相关。SMBN与C:N比和BD呈显著负相关。本研究中的所有土壤性质指标均可解释响应变量(SOC、TN、SMBC和SMBN含量)中较高的显著变异性。广义相加模型(GAM)表明,SOC和TN在不同土壤深度具有不同的影响因素。结构方程模型(SEM)表明,植被类型对TN和SMBN有显著正向影响,土壤深度对SOC有显著正向影响,对TN和SMBC有显著负向影响。本研究进一步表明,植被类型在决定土壤碳氮空间特征方面起主要作用,水库中植被类型的任何变化都可能影响土壤碳氮的分布。这可能会显著影响全球碳氮收支和大气温室气体浓度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd0/10649285/9f0adf477b28/plants-12-03767-g001.jpg

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