俄罗斯远东地区耕地土壤适宜性评价及影响因素分析

Suitability Evaluation and Influencing Factors Analysis of Arable Land Soil Conditions in Russian Far East Region

  • 摘要:
    目的 土壤条件是耕地质量状况的重要体现,准确掌握其空间分异特征及影响因素为开发后备耕地资源、维护区域粮食安全、推动国际农业合作提供重要科学依据。
    方法 以俄罗斯远东地区耕地为研究对象,基于耕地土壤性状,采用地统计学方法,开展耕地土壤条件评价,探究该地区耕地土壤条件的空间分异规律及其主要影响因素。
    结果 俄罗斯远东地区土壤条件特征在空间分布上呈现一定程度的相似性,黑龙江(阿穆尔河)、乌苏里江沿岸平原以及勘察加半岛西部沿海地区土壤容重较低、有机碳含量较高、地表可耕度较高;俄罗斯远东地区土壤条件综合指数在空间上呈现比较大的差异性,其中滨海边疆区(PRI)、哈巴罗夫斯克边疆区(KHA)和阿穆尔州(AMU)耕地土壤条件综合指数较高,适宜区和较适宜区面积共为4438.03万hm2;地表温度、降水和路网密度对土壤条件的解释力较高,分别为0.341、0.225和0.211,地表温度和路网密度主要在兴凯湖周边地区呈正向影响,降水在KHA中部和乌苏里江流域呈正向影响,在勘察加边疆区(KAM)地区则为负向作用。
    结论 研究结果可为中俄合作下俄罗斯远东地区的耕地资源开发利用提供科学依据。

     

    Abstract:
    Objective Soil conditions are an important indicators of farmland quality. Accurately understanding its spatial distribution characteristics can provide important scientific evidence for developing reserve arable land resources, maintaining national food security, and promoting international agricultural cooperation.
    Method This study focuses on Russian Far East region, analyzing the spatial distribution of soil conditions using geostatistical methods based on farmland soil condition indicators. Factors such as climate, topography, and zoning were considered to explore the spatial impact mechanisms of different factors on soil conditions.
    Result ① The soil conditions in Russian Far East region exhibit a certain degree of spatial similarity. The plains along the Amur River, Ussuri River, and the western coastal areas of the Kamchatka Peninsula are characterized by lower soil bulk density, higher organic carbon content, higher surface arability, and better root oxygen availability. ② The comprehensive soil condition index in Russian Far East region showed significant spatial differences, with higher indices observed in Primorsky Krai (PRI), Khabarovsk Krai (KHA), and Amur Oblast (AMU). According to the zonal statistics, the total area of suitable and moderately suitable zones is 44.3803 million hectares. ③ Among the influencing factors, surface temperature, precipitation, and road network density have higher explanatory power for soil conditions, with values of 0.341, 0.225, and 0.211, respectively. Surface temperature and road network density mainly have a positive impact around Lake Khanka, while precipitation has a positive impact in the central part of KHA and the Ussuri River basin, but a negative impact in Kamchatka Krai (KAM).
    Conclusion The research results can provide scientific evidence for Sino-Russian agricultural cooperation in Russian Far East region.

     

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