Effects of Vegetation Types and Soil Propert
Effects of Vegetation Types and Soil Properties on Regional Soil Carbon and Nitrogen in Salinized Reservoir Wetland, Northeast China
Plants
(
IF
4.1
)
Pub Date : 2023-11-03
, DOI:
10.3390/plants12213767
Yuchen Wang
1
,
Heng Bao
1
,
David J. Kavana
1
,
Yuncong Li
2
,
Xiaoyu Li
3
,
Linlu Yan
1
,
Wenjing Xu
1
,
Bing Yu
1
Affiliation
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.
School of Fishery, Zhejiang Ocean University, Zhoushan 316022, China.
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.
中文翻译：
本研究调查了红旗泡水库土壤有机碳（SOC）、全氮（TN）、土壤微生物生物量碳（SMBC）、土壤微生物生物量氮（SMBN）的空间变异及其与其他土壤性质的可能关系。以不同的植被类型为主。结果表明，红旗泡水库SOC、TN、SMBC和SMBN存在较高的空间变异性，且SOC、TN、SMBC和SMBN含量随着土层深度的增加而减小。SOC与TN、SMBC、水分含量(MC)呈显着正相关，与碳氮比(C:N比)和堆积密度(BD)呈负相关。土壤TN与SMBC、SMBN、MC呈显着正相关，与C:N比、BD和pH呈负相关。SMBC与SMBN、MC呈显着正相关，与C:N比、BD和pH呈负相关。SMBN与C:N比和BD显着负相关。本研究中所有土壤性质的测量都可以解释响应变量（SOC、TN、SMBC 和 SMBN 含量）的较高显着变异性。广义加性模型（GAM）表明，不同土壤深度SOC和TN的影响因素不同。结构方程模型（SEM）表明，植被类型对TN和SMBN有显着正向影响，土壤深度对SOC有显着正向影响，对TN和SMBC有显着负向影响。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发挥着重要作用，水库植被类型的任何变化都可能影响土壤碳氮的分布。这可能会显着影响全球碳和氮预算以及大气温室气体浓度。 更新日期：2023-11-03