本文選題：陽離子交換量 + 空間非平穩(wěn)性��； 參考：《土壤學(xué)報》2017年03期

【摘要】：土壤陽離子交換量(CEC)對土壤的保肥能力具有重要影響。了解土壤CEC的空間分布及相關(guān)控制因子的影響有助于區(qū)域土壤肥力的精準(zhǔn)調(diào)控。以往多采用傳統(tǒng)的最小二乘(OLS)回歸模型探索相關(guān)因子對土壤CEC的影響。然而,該類模型是一種總體回歸方法,不能反映局部空間區(qū)域內(nèi)相關(guān)因子對土壤CEC的影響。采用一種局部空間回歸技術(shù)——地理加權(quán)回歸(GWR)探索表層和亞表層土壤中CEC與相關(guān)控制因子(土壤黏粒、土壤有機質(zhì)和土壤pH)之間的空間非平穩(wěn)關(guān)系。結(jié)果表明,各控制因子在不同的子區(qū)域和深度對土壤CEC的影響均有明顯差異;同時,GWR模型有效地揭示了土壤CEC與相關(guān)土壤控制因子的空間非平穩(wěn)關(guān)系。所得的空間非平穩(wěn)關(guān)系圖可以為更精確地調(diào)控區(qū)域土壤肥力提供依據(jù)。
[Abstract]:Soil cation exchange capacity (CEC) plays an important role in soil fertility retention. Understanding the spatial distribution of soil CEC and the influence of related control factors are helpful to the precise regulation of regional soil fertility. In the past, the traditional least square regression model was used to explore the influence of related factors on soil CEC. However, this kind of model is a general regression method, which can not reflect the influence of correlation factors in local spatial area on soil CEC. A local spatial regression technique, Geographic weighted regression (GWR), was used to explore the spatial nonstationary relationship between CEC and related control factors (soil clay, soil organic matter and soil pH) in surface and subsurface soils. The results showed that the influence of control factors on soil CEC was significantly different in different subregions and depths, and the spatial nonstationary relationship between soil CEC and soil control factors was effectively revealed by the GWR model. The spatial non-stationary relationship map can provide the basis for more accurate regulation of regional soil fertility.
【作者單位】： 南京信息工程大學(xué)環(huán)境科學(xué)與工程學(xué)院;中國科學(xué)院南京土壤研究所土壤環(huán)境與污染修復(fù)重點實驗室;
【基金】：國家科技支撐計劃課題(2015BAD06B02-2)資助~~
【分類號】：S153
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本文編號：1935711