尼日利亚两个农业生态区土壤性质对不同土地利用类型土壤有机碳储量的影响

W. Kadiri, K. Ogunleye, A. Fasina, T. Babalola
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摘要

土壤有机碳(SOC)储量是指生物来源的碳储量相对于土壤深度的比例。它比土壤无机碳更容易流失。土壤有机碳的高固存对改善土壤质量和减缓气候变化的影响具有重要意义。为此,本研究对尼日利亚高地雨林(Ado-Ekiti)和南几内亚稀树草原(Kabba)两个农业生态区3种土地利用类型下影响有机碳储量的土壤性质进行了评价;耕地、油棕和湿地。在4个不同深度(0-15、15-30、30-45和45-60 cm)随机采集土壤样品,评价土壤性质。土壤有机碳储量回归模型表明,土地利用、土壤有机碳、pH、土壤有机质、Ex-K、Ex-Ca、Ex-Mg(交换态钾、钙、镁)、BD(容重)和砾石含量能够预测两个农业生态区土壤有机碳储量的变化,Kabba和do- ekiti土壤有机碳储量的决定系数(R2)分别为0.952和0.996。主成分分析表明,几内亚南部热带稀树草原农业生态区土壤有机碳、CEC、EA、Ex-Na、土地利用、粘土含量、土壤深度等特征值为>的特征值解释了80.58%的样本方差,高原雨林农业生态区土壤有机碳含量、Ex-Ca、Ex-Na、EA、沙土和粉土含量特征值为>的特征值解释了78.81%的样本方差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil properties affecting soil organic carbon stock of different land use types in two agro-ecological zones of Nigeria
Soil organic carbon (SOC) stock is the carbon proportion that is of biological origin stored with respect to soil depth. It is more prone to loss than soil inorganic carbon. High sequestration of SOC in soil is germane to the improvement of soil quality and mitigating impact of climate change. Thus, this study was carried out to evaluate soil properties affecting SOC stock in the two agro-ecological zones, namely Upland Rainforest (Ado-Ekiti) and southern Guinea Savanna (Kabba) agro-ecological zones of Nigeria, with respect to three selected land use types; arable, oil palm and wetland. Random collection of soil samples was carried out at four varying depths (0-15, 15-30, 30-45, and 45-60 cm) for evaluation of soil properties. The SOC stock regression models for the two agro-ecological zones showed that land use, SOC, pH, SOM (soil organic matter), Ex-K, Ex-Ca, Ex-Mg (exchangeable potassium, calcium, magnesium, respectively), BD (bulk density), and gravel content would predict variation in SOC stock in the two agro-ecological zones with coefficient of determination (R2) values of 0.952 and 0.996 for Kabba and Ado-Ekiti respectively. Principal component analysis identified that in the soil of the southern Guinea Savanna agro-ecological zone, SOC, CEC, EA, Ex-Na, land use, clay content, and soil depth with Eigenvalues > 1 explained 80.58% of sample variance while in the soil of the Upland Rainforest agro-ecological zone, Ex-Ca, SOC, Ex-Na, EA, sand and silt contents with Eigenvalues > 1 explained 78.81% of sample variance as potential determinants of SOC stock.
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