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Impacts of agricultural intensity on soil organic carbon pools in a main vegetable cultivation region of China

机译:农业强度对中国主要蔬菜种植区土壤有机碳库的影响

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Agricultural intensity, a function of agricultural input and output, impacts agricultural soil organic carbon (SOC) pools. Investigating the agricultural intensity and SOC density relationship supports understanding of anthropogenic activities on SOC pools in agricultural regions. Cangshan County, one of the most important vegetable cultivation counties in China, was selected as the study area for this investigation. By using soil survey data compiled in 1980 and 2008, 21 towns in Cangshan County were used as study units to investigate the relationship between agricultural intensity indicators and index, with SOC density. Results demonstrate that single agricultural intensity indicators could not reflect SOC densities changes well. Conversely the agricultural intensity index, a composite measure of agricultural input, output and input-output indicators (AI(1), AI(2) and AI(3), respectively), was a more reliable measure reflecting SOC density variability. An S-curve model, SOCd (t ha(-1)) = exp (alpha-beta/AI(i)), was the best fit for the plot of SOC densities with the agricultural intensity index. Relationships between AI(3) and SOC density were statistically significant for 1980, 2008 and their variation during 2008-1980 (p < 0.05), indicating that AI(3) had a more robust relationship with SOC density compared with AI(1) and AI(2). Though the relationships have low precision (R-2 = 0.24-0.40) for not including the natural factors and more indictors relative to variation of SOC density should be selected to improve the interpretability, it is still valuable to introduce the agricultural intensity index when detecting dynamics of SOC pools at a large regional scale
机译:农业强度是农业投入和产出的函数,影响农业土壤有机碳(SOC)库。调查农业强度和SOC密度关系有助于理解农业区域SOC库中的人为活动。苍山县是中国最重要的蔬菜种植县之一,被选为研究对象。利用1980年和2008年编制的土壤调查数据,以苍山县21个乡镇为研究单位,研究了农业强度指标与指标,SOC密度的关系。结果表明,单一的农业强度指标不能很好地反映SOC的密度变化。相反,农业强度指数是农业投入,产出和投入产出指标的综合衡量指标(分别为AI(1),AI(2)和AI(3)),是反映SOC密度变化的更可靠的指标。一个S曲线模型SOCd(t ha(-1))= exp(alpha-beta / AI(i)),最适合SOC密度与农业强度指数的图。 AI(3)与SOC密度之间的关系在1980年,2008年及其在2008-1980年期间的变化具有统计学意义(p <0.05),表明AI(3)与SOC密度的关系比AI(1)和SOC更紧密。 AI(2)。尽管这些关系由于不包括自然因素而具有较低的精度(R-2 = 0.24-0.40),并且应选择更多相对于SOC密度变化的指标以提高解释性,但在检测时引入农业强度指数仍然很有价值区域范围内SOC池的动态

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