摘要:
杨梅是浙江省的特色作物之一,栽培面积居全国之首。为了对浙江省杨梅的种植适宜性进行全面研究分析,科学利用现代化气象观测数据,更好地为杨梅种植服务,基于气候因子分布式模拟,引入土壤、地形影响因子,利用层次分析法(analytic hierarchy process,AHP)确定各因子权重,结合各影响因子适宜性等级指标,将浙江省分为适宜、较适宜和不适宜3个种植区。结果表明: 浙江省气候适宜性区域占绝大部分面积,气候资源优越; 土壤条件较为优异,基本处于杨梅种植较适宜和适宜区间; 地形差异较大,地形是精细化杨梅种植适宜性的关键因子,地形适宜区海拔在250~450 m,坡度在5°~25°之间; 除浙江省北部地区和绍兴市、宁波市交界处外,其他地区均适宜或较适宜杨梅种植。研究结果实现了对气象因子的空间模拟,可为浙江省的杨梅种植布局发展和改进提供数据支撑,对提高杨梅产量和品质具有重要的现实意义。
Abstract:
Myrica rubra is a specialty crop in Zhejiang Province. Its cultivation area in Zhejiang ranks first in China. This study aims to comprehensively investigate and analyze the suitability of Myrica rubra planting in Zhejiang and better serve the Myrica rubra planting by scientifically using modern meteorological observation data. Based on the distributed simulation of climate factors, this study introduced the influencing factors related to soil and terrain and determined the weights of these factors through the analytic hierarchy process (AHP). Then, in combination with the suitability grade indices of various influencing factors, this study divided Zhejiang into regions suitable, fairly suitable, and unsuitable for Myrica rubra planting. The results are as follows: Regions with a suitable climate occupy most of Zhejiang, indicating superior climate resources; Zhejiang Province enjoys excellent soil conditions and roughly varies between regions fairly suitable and suitable for Myrica rubra planting regarding soil conditions; The terrain varies greatly and is a key factor in the suitability of precise Myrica rubra planting. The regions with suitable terrains have altitudes of 250~450 m and slopes of 5°~25°; Except for northern Zhejiang and the boundary between Shaoxing and Ningbo cities, Zhejiang is suitable or fairly suitable for Myrica rubra planting. This study achieved the spatial simulation of meteorological factors, thus providing data support for the development and improvement of the Myrica rubra planting layout in Zhejiang and being of great practical significance for improving the yield and quality of Myrica rubra.
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