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基于Geo-D的陜西省STN空間變異因子交互影響
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中央高?;究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金項(xiàng)目(2452017108)和國(guó)家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)項(xiàng)目(2013AA102401-2)


Driving Factors and Interaction of STN Spatial Variation in Shaanxi Province Based on Geo-D
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    摘要:

    以陜西省為研究區(qū),,應(yīng)用地理探測(cè)器模型,揭示了不同氣候區(qū)域土壤全氮(STN)空間變異與自然,、人文環(huán)境的內(nèi)在聯(lián)系,。結(jié)果表明:陜西省STN表現(xiàn)出中等變異強(qiáng)度,平均含量為0.91g/kg,。STN含量總體呈現(xiàn)南高北低的特性,,秦巴區(qū)STN平均含量最高,為1.40g/kg,;蒙中區(qū)最低,,為0.37g/kg。整體上,,STN含量變異受自然因素影響程度高于人文因素,。其中,土壤有機(jī)質(zhì)含量的單因子影響力最大(q為0.63~0.86),,其次為縣級(jí)行政區(qū)劃(q為0.13~0.67),。其它因素中,陜西省市級(jí)行政區(qū)劃、日照時(shí)長(zhǎng)單因子影響力較大,,q均達(dá)到0.50以上,;秦巴區(qū)與蒙中區(qū)土壤亞類影響力最大(q為0.22~0.30);渭河區(qū)市級(jí)行政區(qū)劃單因子影響程度最高(q為0.31),;晉陜甘區(qū)與蒙東區(qū)影響力最大因子分別為化肥施用量(q為0.47)、有效磷含量(q為0.26),。各因子對(duì)STN含量變異存在交互作用,,交互影響力較單因子有所提升,表現(xiàn)出互相增強(qiáng)或非線性增強(qiáng)效應(yīng),。

    Abstract:

    The relationship between the spatial variation of soil total nitrogen (STN) and the natural and human environment in different climatic regions was revealed by using geographic detector model,,a method of spatial counting to detect spatial variation and identify the driving factors, in Shaanxi Province. The results showed that the STN content was generally high in the south and low in the north, and presented a moderate intensity of variation in the 2020s, with an average content of 0.91g/kg. The average STN content in Qinba District was the highest (1.40g/kg), and the lowest (0.37g/kg) in Central Mongolia. On the whole, STN variation was more affected by natural factors than human factors, and influenced by the single factor of soil organic matter content (q value of 0.63~0.86) mainly, and secondly the county-level administrative divisions (q value of 0.13~0.67). Among other factors, the city-level administrative division and the duration of sunshine were more influential in Shaanxi Province, q-value both reached more than 0.50;in Qinba District and Central Mongolia District, the higher driving factor was the soil subtypes (q value of 0.22~0.30);the degree of influence of municipal administrative division was the highest (q value of 0.31) in Weihe District;the fertilizer application in Shanxi-Shaanxi-Gansu had the greatest influence (q value of 0.47);and the available phosphorus content (q value of 0.26) in the eastern Inner Mongolia was the higher driving factor on STN variation. The influence of factors was interactive on the variation of STN, the synergistic effect of the STN showed mutual enhancement or non-linear enhancement and the interaction of the two factors enhanced the influence of the single factor on STN.

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王琦,常慶瑞,黃勇,史博太,落莉莉.基于Geo-D的陜西省STN空間變異因子交互影響[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2021,52(11):161-169. WANG Qi, CHANG Qingrui, HUANG Yong, SHI Botai, LUO Lili. Driving Factors and Interaction of STN Spatial Variation in Shaanxi Province Based on Geo-D[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(11):161-169.

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  • 收稿日期:2020-11-20
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  • 在線發(fā)布日期: 2021-11-10
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