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基于GIS的福建芙蓉李气候适宜性区划

吴立 杜晓杰 孙朝锋 黄川容 王加义 陈家金 林辉阳

吴立, 杜晓杰, 孙朝锋, 黄川容, 王加义, 陈家金, 林辉阳. 基于GIS的福建芙蓉李气候适宜性区划[J]. 中国生态农业学报 (中英文), 2023, 31(0): 1−9 doi: 10.12357/cjea.20230415
引用本文: 吴立, 杜晓杰, 孙朝锋, 黄川容, 王加义, 陈家金, 林辉阳. 基于GIS的福建芙蓉李气候适宜性区划[J]. 中国生态农业学报 (中英文), 2023, 31(0): 1−9 doi: 10.12357/cjea.20230415
WU L, DU X J, SUN C F, HUANG C R, WANG J Y, CHEN J J, LIN H Y. Climatic suitability regionalization of Furong plums based on GIS in Fujian Province[J]. Chinese Journal of Eco-Agriculture, 2023, 31(0): 1−9 doi: 10.12357/cjea.20230415
Citation: WU L, DU X J, SUN C F, HUANG C R, WANG J Y, CHEN J J, LIN H Y. Climatic suitability regionalization of Furong plums based on GIS in Fujian Province[J]. Chinese Journal of Eco-Agriculture, 2023, 31(0): 1−9 doi: 10.12357/cjea.20230415

基于GIS的福建芙蓉李气候适宜性区划

doi: 10.12357/cjea.20230415
基金项目: 公益性行业(气象)科研专项(GYHY201406027)资助
详细信息
    作者简介:

    吴立, 主要从事生态环境变化与农业气象灾害研究。E-mail: wuli_0506@163.com

    通讯作者:

    陈家金, 主要从事农业气象灾害风险研究。E-mail: cjj8284@163.com

  • 中图分类号: S166

Climatic suitability regionalization of Furong plums based on GIS in Fujian Province

Funds: This study was supported by the Special Scientific Research Fund of Meteorology in the Public Welfare Profession of China (GYHY201406027).
More Information
  • 摘要: 为合理利用气候资源, 科学规划芙蓉李的种植布局, 基于福建省67个地面气象观测站1971—2018年的气象资料、2005—2014年芙蓉李面积和产量资料以及地理信息数据, 采用GIS技术开展福建芙蓉李气候适宜性区划。根据福建省的气候特点和芙蓉李生长的环境条件, 构建福建芙蓉李气候适宜性区划指标体系; 采用层次分析法和熵权法确定各区划指标的权重; 通过多元线性回归分析, 建立区划指标与经度、纬度、海拔高度的地理推算模型; 采用加权求和法, 计算芙蓉李气候适宜性指数; 根据福建芙蓉李气候适宜性指数的分布规律、芙蓉李种植生长的实际情况和实地调查情况, 以及限制芙蓉李生长的区划指标的区划结果, 将芙蓉李在福建的气候适宜性区域划分为适宜区、次适宜区和不适宜区3个等级; 基于福建芙蓉李的种植现状和李果的单产高低, 对区划结果进行验证。结果表明: 适宜区主要集中在龙岩北部、三明、南平和宁德三市的大部分地区以及福州北部这些中高海拔地区; 次适宜区主要分布在福建省中部的武平、漳平至罗源一带; 不适宜区主要集中在南部和东南部沿海这些低海拔地区以及北部山区的高海拔地区。区划结果与福建芙蓉李的种植现状和李果的单产高低吻合性高。研究结果可为福建芙蓉李的种植布局提供决策参考。
  • 图  1  芙蓉李气候适宜性指数(a)、冬季极端低温适宜性(b)、冬季低温时数适宜性(c)和(d)气候适宜性区区划

    Figure  1.  Regionalization of climatic suitability index (a), extreme low temperature in winter (b), low temperature hours in winter (c) and comprehensive climatic suitability region of Furong plums

    表  1  芙蓉李气候适宜性区划指标及等级划分

    Table  1.   Climatic suitability regionalization indicators and rank division of Furong plums

    指标 Indicator适宜 Suitable次适宜 Sub-suitable不适宜 Unsuitable
    年平均气温
    Annual mean temperature (℃)
    $ \overline T $15<$ \overline T $≤2013<$ \overline T $≤15
    20<$ \overline T $≤22
    $ \overline T $≤13
    $ \overline T $>22
    ≥10 ℃年活动积温
    Annual cumulative temperature ≥10 ℃ (℃)
    $ {\displaystyle \sum {T}_{\geqslant 10℃}} $5500<$ {\displaystyle \sum {T}_{\geqslant 10℃}} $≤65004000<$ {\displaystyle \sum {T}_{\geqslant 10℃}} $≤5500
    6500<$ {\displaystyle \sum {T}_{\geqslant 10℃}} $≤8000
    $ {\displaystyle \sum {T}_{\geqslant 10℃}} $≤4000
    $ {\displaystyle \sum {T}_{\geqslant 10℃}}$>8000
    花期低温阴雨天数
    Low temperature rainy days in flowering period (d)
    $ {D_r} $$ {D_r} $≤22<$ {D_r} $<4$ {D_r} $≥4
    冬季极端低温
    Extreme low temperature in winter (℃)
    $ {T_{{\text{JDW}}}} $$ {T_{{\text{JDW}}}} $>−5−9<$ {T_{{\text{JDW}}}} $≤−5$ {T_{{\text{JDW}}}} $≤−9
    冬季低温时数
    Low temperature hours in winter (h)
    $\displaystyle\sum { {T_d} }$$\displaystyle\sum { {T_d} }$>500300<$\displaystyle\sum { {T_d} }$≤500$\displaystyle\sum { {T_d} }$≤300
    下载: 导出CSV

    表  2  芙蓉李气候适宜性区划指标专家打分表

    Table  2.   Expert evaluating table for climatic suitability regionalization indicators of Furong plums

    区划指标
    Regionalization indicator
    $ \overline T $$ {\displaystyle \sum {T}_{\geqslant 10\text{°C}}} $$ {T_{{\text{JDW}}}} $$\displaystyle\sum { {T_d} }$$ {D_r} $
    年平均气温
    Annual mean temperature (℃)
    $ \overline T $111/31/55
    ≥10 ℃年活动积温
    Annual cumulative temperature ≥10 ℃ (℃)
    $ {\displaystyle \sum {T}_{\geqslant 10\text{°C}}} $111/31/55
    冬季极端低温
    Extreme low temperature in winter (℃)
    $ {T_{{\text{JDW}}}} $3311/37
    冬季低温时数
    Low temperature hours in winter (h)
    $\displaystyle\sum { {T_d} }$55319
    花期低温阴雨天数
    Low temperature rainy days in flowering period (d)
    $ {D_r} $1/51/51/71/91
    下载: 导出CSV

    表  3  芙蓉李气候适宜性区划指标权重

    Table  3.   Weights for climatic suitability regionalization indicators of Furong plums

    指标
    Indicator
    主观权重
    Subjective weight
    客观权重
    Objective weight
    综合权重
    Comprehensive weight
    年平均气温
    Annual mean temperature (℃)
    $ \overline T $0.10920.11500.1121
    ≥10 ℃年活动积温
    Annual cumulative temperature ≥10 ℃ (℃)
    $ {\displaystyle \sum {T}_{\geqslant 10℃}} $0.10920.18040.1448
    冬季极端低温
    Extreme low temperature in winter (℃)
    $ {T_{{\text{JDW}}}} $0.24990.10550.1777
    冬季低温时数
    Low temperature hours in winter (h)
    $ \sum {{T_d}} $0.50050.36670.4336
    花期低温阴雨天数
    Low temperature rainy days in flowering period (d)
    $ {D_r} $0.03120.23240.1318
    下载: 导出CSV

    表  4  芙蓉李气候适宜性区划指标地理推算模型

    Table  4.   Geographical reckoning models for climatic suitability regionalization indicators of Furong plums

    指标
    Indicator
    地理推算模型
    Geographical reckoning model
    RF
    F value
    年平均气温
    Annual mean temperature (℃)
    $ \overline T $$ \overline T = - 5.048 - 3.284 \times {10^{ - 7}}x + 2.121 \times {10^{ - 6}}y - 1.716 \times {10^{ - 4}}z $0.77331.083
    ≥10 ℃年活动积温
    Annual cumulative temperature ≥10 ℃ (℃)
    $ {\displaystyle \sum {T}_{\geqslant 10\text{°C}}} $$ {\displaystyle \sum {T}_{\geqslant 10\text{°C}}}=-6.235-9.737\times {10}^{-7}x+2.623\times {10}^{-6}y-2.251\times {10}^{-4}z $0.87468.178
    冬季极端低温
    Extreme low temperature in winter (℃)
    $ {T_{{\text{JDW}}}} $$ {T_{{\text{JDW}}}} = 3.547 + 8.261 \times {10^{ - 7}}x - 1.200 \times {10^{ - 6}}y - 4.136 \times {10^{ - 4}}z $0.963271.033
    冬季低温时数
    Low temperature hours in winter (h)
    $ \sum {{T_d}} $$ \sum {{T_d}} = - 4.129 - 8.052 \times {10^{ - 7}}x + 1.707 \times {10^{ - 6}}y + 6.070 \times {10^{ - 4}}z $0.973371.347
    花期低温阴雨天数
    Low temperature rainy days in flowering period (d)
    $ {D_r} $$ {D_r} = 5.330 + 1.870 \times {10^{ - 7}}x - 1.731 \times {10^{ - 6}}y - 2.729 \times {10^{ - 4}}z $0.928131.096
      表中, xyz分别表示公里网经度坐标(m)、公里网纬度坐标(m)和海拔高度(m), R为模型复相关系数。各模型均能通过信度e=0.001的显著性检验。In the table, x, y, and z respectively represent the longitude coordinate (m) of the kilometer network, the latitude coordinate (m) of the kilometer network and the altitude (m), and R is the model complex correlation coefficient. All the models pass the significance test with a reliability of 0.001.
    下载: 导出CSV

    表  5  基于气候适宜性指数(I)的芙蓉李气候适宜性区划等级标准

    Table  5.   Classification criteria of climatic suitability regionalization based on the climatic suitability index (I) of Furong plums

    指数
    Index
    适宜
    Suitable
    次适宜
    Sub-suitable
    不适宜
    Unsuitable
    I>0.530.49~0.53<0.49
    下载: 导出CSV

    表  6  芙蓉李限制生长指标适宜性等级划分

    Table  6.   Suitability rank division of indicators for limiting the growth of Furong plums

    分级指标
    Classification indicator
    适宜
    Suitable
    次适宜
    Sub-suitable
    不适宜
    Unsuitable
    $ {T_{{\text{JDW}}}} $>0.350.15~0.35<0.15
    $ \sum {{T_d}} $>0.50.33~0.5<0.33
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-07-31
  • 录用日期:  2023-09-07
  • 修回日期:  2023-10-10
  • 网络出版日期:  2023-10-16

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