Climate Regionalization of Hybrid Hazel Planting in Xinjiang

doi:10.3969/j.issn.1000-6362.2020.03.003

Abstract

Abstract: Based on the continuous 10 years (2009-2018) meteorological data and geographic information data of 40 meteorological stations in Xinjiang, four factors including altitude, annual average temperature, annual average precipitation and sunshine duration were selected as the regional indicators. Multiple regression was used to establish the spatial model of meteorological factors, and geographic information system(GIS) was used to carry out data grid interpolation analysis on four factor parameters. According to the analytic hierarchy process (AHP), the index weight value was calculated, and GIS superposition analysis function was used to obtain the thematic map of the hazel growing area of Corylus heterophylla×Corylus avellanay hybrid hazels. The results showed that the hybrid hazel growing areas were divided into the most suitable area, the suitable area, the sub-suitable area and the unsuitable area. The results showed that the planting was divided the most suitable area, the suitable area, the sub-suitable area and the unsuitable area. The most suitable area is 27.722×104km2, accounting for 16.7% of the total land area of Xinjiang; it is mainly distributed in Kashgar region, Aksu region, Yili river valley, Changji Hui autonomous prefecture, Urumqi city, northern Bayingolin Mongolian autonomous prefecture, Turpan region and northern Hami region. The suitable area is 69.056×104km2, accounting for 41.6% of the total land area of Xinjiang, it is mainly distributed in Kashgar region, Kizilsukirgiz autonomous prefecture, northern Hotan region, northern Bayingolin Mongolian autonomous prefecture, Aksu region, Tacheng region and part of Altay region.

Key words: Corylus heterophylla×Corylus avellanay hybrid hazels, GIS, Climate zoning, Suitability

CLC Number:

ZUO Chen, SONG Feng-hui, SHI Yan-jiang, LUO Da. Climate Regionalization of Hybrid Hazel Planting in Xinjiang[J]. Chinese Journal of Agrometeorology, 2020, 41(03): 146-155.

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