中国农业气象 ›› 2021, Vol. 42 ›› Issue (10): 836-844.doi: 10.3969/j.issn.1000-6362.2021.10.003

• 农业生态环境栏目 • 上一篇    下一篇

基于最大熵模型研究四川省鲜食葡萄种植潜在分布区及其气候特征

张玉芳,王茹琳,吕秀兰,金垚,赵艺,梁东,王明田   

  1. 1. 北京师范大学地理科学学部,北京 100875;2.南方丘区节水农业研究四川省重点实验室,成都 610066;3.四川省农业气象中心,成都 610072;4.四川省农村经济综合信息中心,成都 610072;5. 四川农业大学,成都 610031; 6.德阳市气象局,德阳 618000;7.四川省气象台,成都 610072
  • 收稿日期:2021-01-11 出版日期:2021-10-20 发布日期:2021-10-15
  • 通讯作者: 王明田,正高级工程师,研究方向为农业气象,E-mail:wangmt0514@163.com E-mail:wangmt0514@163.com
  • 作者简介:张玉芳,E-mail:75963549@qq.com
  • 基金资助:
    第二次青藏高原综合科学考察研究(2019QZKK0608);四川省科技计划项目(2020YJ0359);国家现代农业产业技术体系(sccxtd-2020-04);四川省重点研发项目(2018NZ0147);高原与盆地暴雨旱涝灾害四川省重点实验室项目(2018-重点-05-04)

Potential Distribution of Table Grape in Sichuan Province and Its Climatic Characteristics Based on MaxEnt Model

ZHANG Yu-fang , WANG Ru-lin, LV Xiu-lan,JIN Yao, ZHAO Yi, LIANG Dong, WANG Ming-tian   

  1. 1.Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; 2.Water-Saving Agriculture in Southern Hill Area Key Laboratory of Sichuan Province, Chengdu 6l0066; 3.Sichuan Provincial Agricultural Meteorological Centre, Chengdu 610072; 4.Sichuan Provincial Rural Economic Information Center, Chengdu, 610072; 5.Sichuan Agricultural University, Chengdu 610031; 6.Deyang Meteorological Office, Deyang 618000; 7.Sichuan Meteorological Observatory, Chengdu 610072
  • Received:2021-01-11 Online:2021-10-20 Published:2021-10-15

摘要: 从不同地域鲜食葡萄的生长特性和生理机制出发,基于气候因子对鲜食葡萄区域分布的影响,从时间和空间尺度收集影响其种植分布的气候因子,结合鲜食葡萄种植园区分布信息,利用最大熵模型(MaxEnt)分析四川省鲜食葡萄的潜在空间分布及气候特征,并进行评价分析。结果表明:刀切法筛选出影响四川省鲜食葡萄潜在分布的4个主要环境变量(累计贡献百分率达89.8%)为≥10℃活动积温、气温年较差、年日照时数和年降水量,80%鲜食葡萄潜在分布面积的各影响变量指标范围分别为4145~6283℃·d、6.8~9.0℃、924~1314h和804~1247mm。鲜食葡萄种植高适宜区占全省面积的11.8%,主要分布在广安、成都、乐山西南部、宜宾和泸州北部以及凉山中部地区,气候特征为≥10℃活动积温5197~6082℃·d,气温年较差6.5~7.6℃,年日照时数902~1241h,年降水量861~1124mm;适宜区占全省面积的23.6%,广泛分布于除盆周山区之外的盆地大部分地区以及凉山南部、攀枝花西南部,气候特征为≥10℃活动积温5053~6144℃·d,气温年较差6.7~7.7℃,年日照时数868~1356h,年降水量807~1139mm;低适宜区占全省面积的23.1%,集中在盆北、盆西山区及攀西地区北部,气候特征为≥10℃活动积温3227~5549℃·d,气温年较差7.8~13.4℃,年日照时数948~2049h,年降水量643~1187mm;不适宜区占全省面积的41.5%,主要集中在川西高原和攀西东北部。研究结果说明气候因素仍然是影响四川省鲜食葡萄种植的主要环境因子,4个气候因子主导作用明显,模拟的潜在分布结果能够为四川省鲜食葡萄种植决策提供科学参考。

关键词: 最大熵模型, 四川省, 鲜食葡萄, 气候适宜性, 主导气候因子

Abstract: Based on the growth characteristics and physiological mechanism of table grape, the climatic factors affecting its planting and distribution were collected. Combined with the distribution information of table grape plantation, the maximum entropy model(MaxEnt) was used to analyze the potential distribution and climate characteristics of table grape in Sichuan. The results showed that, four domain environmental variables(cumulative contribution percentage of 89.8%) and their indicator ranges(80% of potential distribution area of table grapes) were active accumulated temperature ≥10℃(4145−6283℃·d), annual range of temperature (6.7−9.0℃), annual sunshine hours(924−1314h) and annual precipitation(804−1247mm). The highly suitable areas were mainly distributed in Guang'an, Chengdu, southwest Leshan, Yibin, Luzhou and the central part of Liangshan, with climatic characteristics of active accumulated temperature ≥10℃(5197−6082℃·d), annual range of temperature(6.5−7.6℃), annual sunshine hours(902−1241h) and annual precipitation(861−1124mm). The moderately suitable areas were distributed in the most areas of the basin except for the mountain areas around the basin, as well as in south of Liangshan and southwest of Panzhihua, with climatic characteristics of active accumulated temperature ≥10℃ (5053−6144℃·d), annual range of temperature(6.7−7.7℃), annual sunshine hours(868−1356h) and annual precipitation(807−1139mm). The lowly suitable areas were concentrated in the north of the basin, the mountain areas in the west of the basin and the north of Panxi area, with climatic characteristics of active accumulated temperature ≥10℃(3227−5549℃·d), annual range of temperature(7.8−13.4℃), annual sunshine hours(948−2049h) and annual precipitation(643−1187mm). The unsuitable areas were mainly located in the Western Sichuan Plateau and northeast Panxi. The areas of highly, moderately, lowly and unsuitable areas accounted for 11.8%, 23.6%, 23.1% and 41.5% of the total area of Sichuan respectively. The results showed that climate were the main environmental factors affecting the cultivation of table grape, and the leading role of the four selected domain variables was very obvious. The simulation results can provide a scientific reference for the planting decision of table grape in Sichuan.

Key words: Maximum entropy model, Sichuan province, Table grape, Potential distribution, Climatic characteristics