基于气候因子的油茶含油率时空特征与种植分区研究
摘要: 基于湘赣浙闽地区1980年代气候数据、2050和2070年代气候情景预测的9月份平均气温与降水量,依据油茶含油率气候资源模式,得到3个年代油茶含油率分布,并分为低、中和高3类. 将3个年代油茶含油率依次相减,得到1980—2050年代和2050—2070年代两个过渡时段内油茶含油率升降分布,并分为降低、稳定和升高3类. 将油茶生长气候适宜性与含油率叠加得到油茶种植气候适宜性分区,并从高到低划分为Ⅰ类至Ⅴ类5个类别,9个子类. 结果表明:①油茶含油率分布,浙江和福建省高,湖南较低;各类别面积比例整体上中等偏高为主,3个年代占比最大的都是中等类,达41.56%~45.43%. 含油率变化随时间推移整体上呈东部福建或浙江升高、西部湖南波动降低状态,2个过渡时段面积占比最大的类别先是稳定类然后是降低类,分别为50.87%和47.36%,最小的是升高类. ②油茶种植气候适宜性总体较高,区域分布上浙江和福建较高,尤其在2050年代和2070年代,Ⅰ类比重高,湖南较低. 不同年代适宜性高低分布面积和地级市数量有差异,3个年代Ⅰ类和Ⅱ类占比都较大,面积占比依次为55.85%、73.04%和73.14%,地市数量占比依次为53.33%、77.78%和75.56%. ③对比油茶含油率与种植分区相关研究可知,湘赣浙闽油茶含油率时空特征与前人结果相近,由含油率叠加气候适宜性,进行油茶适宜种植气候分区的方法,计算简便,容易推广.
Abstract: Based on the average temperature and precipitation in September of climate data in 1980 s and scenarios data in 2050 s and 2070 s in Hunan, Jiangxi, Zhejiang and Fujian Province, the oil content distributions of three periods are obtained according to the climate resource model of oil content of Camellia oleifera, which are divided into three categories: low, medium and high level. Subtracting the oil content of the three periods in order, we can get the oil content rise and fall distribution in the two transition periods of 1980 s—2050 s and 2050 s—2070 s, and divide them into three categories: decrease, stable and increase level. The climate suitability for the growth of Camellia oleifera is superimposed with the oil content to obtain the climate suitability zone for planting Camellia oleifera, which is divided into 5 categories from high to low into categories Ⅰ to Ⅴ, and 9 sub-categories. The results are as follows: ① The oil content distribution of Camellia oleifera is high in Zhejiang and Fujian Province and low in Hunan Province. Most areas of the four provinces are covered with medium or high oil content, and the largest proportion in the three periods is medium level, reaching 41.56% ~ 45.43%. The change in oil content generally shows an increase in Fujian or Zhejiang of the east and a decrease in the fluctuation in Hunan of the west over time. The category with the largest percentage of the area in the two transitional periods is first the stable and then decrease, 50.87% and 47.36% respectively, and the smallest is the increase level. ② The climate suitability for Camellia oleifera planting is generally higher, and the regional distribution is higher in Zhejiang and Fujian, especially in the 2050 s and 2070 s, the proportion of Ⅰ level is high, and Hunan is low. There are differences in the suitability of different periods and the number of cities, the proportions of Ⅰ and Ⅱ level are relatively large in the three periods, the area proportions are 55.85%, 73.04%, and 73.14%, and the number of cities is 53.33%, 77.78%, and 75.56%. ③ By comparing related research of oil content and planting divisions of Camellia oleifera, it can be seen that the temporal and spatial characteristics of the oil content of Camellia oleifera in this study is similar to the previous results. The method of combining the climate factors with the oil content to receive planting climate divisions of Camellia oleifera is simple in calculation and easy to popularize.
图 1 湘赣浙闽油茶含油率分布及变化
Figure 1. Distribution and change of oil content of Camellia oleiflora in Hunan, Jiangxi, Zhejiang and Fujian
图 2 湘赣浙闽油茶适宜种植的气候分区
Figure 2. The climate division of suitable planting of Camellia oleifera in Hunan, Jiangxi, Zhejiang and Fujian
表 1 油茶种植气候适宜性分区
Table 1 Climatic suitability zoning of Camellia oleiflora planting
适宜性含油率高中低 高ⅠⅡ-aIII-a中Ⅱ-bⅢ-bⅣ-a低Ⅲ-cⅣ-bⅤ表 2 湘赣浙闽油茶含油率分级的面积和占比
Table 2 Area and proportion of oil content level of Camellia oleifera in Hunan, Jiangxi, Zhejiang and Fujian
时间高中低面积/(103 km2)占比/%面积/(103 km2)占比/%面积/(103 km2)占比/% 1980 s268.5239.47309.1145.43102.7515.102050 s281.6241.43282.4741.56115.6517.012070 s246.2536.23308.0045.31125.4818.46表 3 湘赣浙闽油茶含油率变化的面积和占比
Table 3 Area and proportion of oil content variation of Camellia oleifera in Hunan, Jiangxi, Zhejiang and Fujian
时段升高/(103 km2)占比/%稳定/(103 km2)占比/%降低/(103 km2)占比/% 1980 s—2050 s 79.9411.76345.7850.87254.0037.372050 s—2070 s111.5116.41246.3036.23321.9347.36表 4 湘赣浙闽油茶种植气候分区的面积与占比
Table 4 Area and proportion of climate division of Camellia oleifera planting in Hunan, Jiangxi, Zhejiang and Fujian
分区1980 s2050 s2070 s面积/(103 km2)占比/%面积/(103 km2)占比/%面积/(103 km2)占比/% Ⅰ 59.25 8.71226.1633.27223.9232.94Ⅱ-a175.5225.80217.1231.94254.4037.43Ⅱ-b145.1721.34 53.22 7.83 18.83 2.77Ⅲ-a 48.78 7.17 69.5110.23 87.0512.81Ⅲ-b114.0916.77 60.79 8.94 51.15 7.52Ⅲ-c 64.10 9.42 2.24 0.33 3.50 0.51Ⅳ-a 37.86 5.56 40.63 5.98 33.17 4.88Ⅳ-b 19.50 2.87 4.56 0.67 2.45 0.36Ⅴ 16.10 2.37 5.50 0.81 5.27 0.78表 5 湘赣浙闽油茶种植气候分区的地级市数量及其占比
Table 5 Number of cities and proportion of climate divisions of Camellia oleifera planting in Hunan, Jiangxi, Zhejiang and Fujian
分区1980 s2050 s2070 s数量占比/%数量占比/%数量占比/% Ⅰ1 2.221328.891635.56Ⅱ-a1328.891533.331635.56Ⅱ-b1022.22 715.56 2 4.44Ⅲ-a4 8.89 3 6.67 4 8.89Ⅲ-b817.78 4 8.89 4 8.89Ⅲ-c613.33 0 0.00 1 2.22Ⅳ-a2 4.44 2 4.44 1 2.22Ⅳ-b1 2.22 0 0.00 0 0.00Ⅴ0 0.00 1 2.22 1 2.22 [1] 代劲松, 曹林, 王婧琦, 等. 中国亚热带地区油茶温度适宜性及其变化趋势[J]. 中南林业科技大学学报, 2014, 34(2): 20-25. DOI: 10.14067/j.cnki.1673-923x.2014.02.011. Dai J S, Cao L, Wang J Q, et al. Temperature suitability of Camellia oleifera and its change trend in subtropical China[J]. Journal of Central South University of Forestry & Technology, 2014, 34(2): 20-25. [2]Liu C X, Chen L S, Tang W, et al. Predicting potential distribution and evaluating suitable soil condition of oil tea Camellia in China[J]. Forests, 2018, 9(8): 487. DOI: 10.3390/f9080487.
[3] 宋英强, 杨粉莉, 杨博, 等. 我国油茶种植环境适宜性评价初步研究[J]. 山东农业大学学报: 自然科学版, 2015, 46(2): 180-188. DOI: 10.3969/j.issn.1000-2324.2015.02.004. Song Y Q, Yang F L, Yang B, et al. A primary study on the suitability of Camellia oleifera Abel planting environment in China[J]. Journal of Shandong Agricultural University: Natural Science Edition, 2015, 46(2): 180-188. [4]Hu J, Wu W, Cao Z, et al. Morphological, physiological and biochemical responses of Camellia oleifera to low-temperature stress[J]. Pakistan Journal of Botany, 2016, 48(3): 899-905.
[5] 蒋元华, 廖玉芳, 黄超, 等. 基于气象条件的油茶产量模型研究[J]. 经济林研究, 2018, 36(2): 64-72. DOI: 10.14067/j.cnki.1003-8981.2018.02.010. Jiang Y H, Liao Y F, Huang C, et al. Research on yield model of Camellia based on meteorological factors[J]. Nonwood Forest Research, 2018, 36(2): 64-72. [6] 彭嘉栋, 蒋元华, 廖玉芳, 等. 气象因子对湖南油茶产量的影响及其产量模型构建[J]. 气象与环境学报, 2016, 32(3): 89-94. DOI: 10.3969/j.issn.1673-503X.2016.03.013. Peng J D, Jiang Y H, Liao Y F, et al. Analysis of meteorological factors effecting on yield of Camellia oleifera and construction of yield forecasting model in Hu'nan province[J]. Journal of Meteorology and Environment, 2016, 32(3): 89-94. [7] 左继林, 徐林初, 龚春, 等. 油茶无性系鲜出籽率变化规律与气象因子关系[J]. 林业科技开发, 2009, 23(5): 60-64. DOI: 10.3969/j.issn.1000-8101.2009.05.016. Zuo J L, Xu L C, Gong C, et al. The relational analysis between meteorological factors and the variation law of fresh seed yield in Camellia oleifera clones[J]. China Forestry Science & Technology, 2009, 23(5): 60-64. [8] 蒋元华, 廖玉芳, 彭嘉栋, 等. 关键气候因子与油茶油酸含量的相关性[J]. 贵州农业科学, 2019, 47(5): 99-104. Jiang Y Y, Liao Y F, Peng J D, et al. Correlation between key climatic factors and oleic acid content of Camellia oleifera Abel[J]. Guizhou Agricultural Sciences, 2019, 47(5): 99-104. [9] 曾宇怀, 钟凯文, 王小辉, 等. 基于GIS的兴宁市油茶种植适宜性评价[J]. 热带地理, 2014, 34(1): 104-107. DOI: 10.13284/j.cnki.rddl.000013. Zeng Y H, Zhong K W, Wang X H, et al. Suitability evaluation of Camellia cultivation based on GIS in Xingning City[J]. Tropical Geography, 2014, 34(1): 104-107. [10]Huang J, Ahrends A, He J, et al. An evaluation of the factors influencing seed oil production in Camellia reticulata L. plants[J]. Industrial Crops and Products, 2013, 50: 797-802. DOI: 10.1016/j.indcrop.2013.08.019.
[11] 曾燕如, 黎章矩. 油茶花期气候对花后坐果的影响[J]. 浙江林学院学报, 2010, 27(3): 323-328. DOI: 10.3969/j.issn.2095-0756.2010.03.001. Zeng Y R, Li Z J. Effects of the climate during flowering period on post-flowering fruit setting in Camellia oleifera[J]. Journal of Zhejiang Forestry College, 2010, 27(3): 323-328. [12] 庄瑞林. 中国油茶 [M]. 2版. 北京: 中国林业出版社, 2000.Zhuang R L. Chinese Camellia oleifera[M]. 2nd ed. Beijing: Chinese Forestry Press, 2000.
[13] 陈永忠, 王湘南, 彭邵锋, 等. 植物生长调节剂对油茶果实含油率的影响[J]. 中南林业科技大学学报, 2007, 27(1): 25-29. DOI: 10.14067/j.cnki.1673-923x.2007.01.005. Chen Y Z, Wang X N, Peng S F, et al. Effects of plant growth regulators on the promotion of fruit oil content of Camellia oleifera[J]. Journal of Central South University of Forestry & Technology, 2007, 27(1): 25-29. [14] 黎章矩, 华家其, 曾燕如. 油茶果实含油率影响因子研究[J]. 浙江农林大学学报, 2010, 27(6): 935-940. DOI: 10.3969/j.issn.2095-0756.2010.06.022. Li Z J, Hua J Q, Zeng Y R. Oil content of Camellia oleifera fruit trees[J]. Journal of Zhejiang Forestry College, 2010, 27(6): 935-940. [15] 蒋元华, 廖玉芳, 彭嘉栋, 等. 油茶含油率关键气候影响因子及模型分析[J]. 中国油料作物学报, 2019, 41(4): 588-595. DOI: 10.7505/j.issn.1007-9084.2019.04.013. Jiang Y H, Liao Y F, Peng J D, et al. Analysis of key climate impact factors and model on oil content of Camellia[J]. Chinese Journal of Oil Crop Sciences, 2019, 41(4): 588-595. [16] 余优森, 任三学, 谭凯炎. 中国普通油茶含油率品质气候区域划分与层带研究[J]. 自然资源学报, 1999, 14(2): 123-127. DOI: 10.11849/zrzyxb.1999.02.005. Yu Y S, Ren S X, Tan K Y. Study on climatic regionalization and layer and belt distribution of oil tea Camellia quality in China[J]. Journal of Natural Resources, 1999, 14(2): 123-127. [17] 余会康, 郭建平. 气候变化对福建省普通油茶含油率影响分析[J]. 农业资源与环境学报, 2015, 32(1): 87-94. DOI: 10.13254/j.jare.2014.0258. Yu H K, Guo J P. Analysis of climate change effect on Camellia oil content in Fujian Province of China[J]. Journal of Agricultural Resources and Environment, 2015, 32(1): 87-94. [18] 廖玉芳, 宋忠华, 赵福华, 等. 气候变化对湖南主要农作物种植结构的影响[J]. 中国农学通报, 2010, 26(24): 276-286. Liao Y F, Song Z H, Zhao F H, et al. Impacts of climate change on the agricultural planting structure of main crops in Hunan[J]. Chinese Agricultural Science Bulletin, 2010, 26(24): 276-286. [19] 杨鹏武, 朱勇, 王学锋, 等. 基于GIS的昭通市烤烟种植动态气候区划评估(预测)研究[J]. 云南大学学报: 自然科学版, 2011, 33(S1): 229-233. Yang P W, Zhu Y, Wang X F, et al. Evaluation (prediction) of GIS - based dynamic climate zoning of tobacco cultivation for Zhaotong City[J]. Journal of Yunnan University: Natural Sciences Edition, 2011, 33(S1): 229-233. [20] 王莹, 苏永秀, 李政. 广西西北部油茶种植气候适宜度评价[J]. 中国农学通报, 2013, 29(13): 24-30. DOI: 10.3969/j.issn.1000-6850.2013.13.005. Wang Y, Su Y X, Li Z. Evaluation on climate suitability of Camellia oleifera Abe1 in Northwest Guangxi[J]. Chinese Agricultural Science Bulletin, 2013, 29(13): 24-30. [21] 杨益, 于飞, 朱曦嵘, 等. 基于GIS的贵州省黎平县油茶气候适宜性区划[J]. 贵州气象, 2011, 35(5): 17-19. DOI: 10.3969/j.issn.1003-6598.2011.05.005. Yang Y, Yu F, Zhu X R, et al. Climate suitability regionalization of Camellia oleifera in liping county of Guizhou Province based on GIS[J]. Journal of Guizhou Meteorology, 2011, 35(5): 17-19. [22] 黄志伟, 曹剑, 袁德梽, 等. 基于主成分聚类分析的中国油茶栽培区划[J]. 西部林业科学, 2016, 45(3): 155-160. DOI: 10.16473/j.cnki.xblykx1972.2016.03.028. Huang Z W, Cao J, Yuan D Z, et al. Cultural regionalization of Camellia oleifera Abel based on principal component analysis and cluster analysis[J]. Journal of West China Forestry Science, 2016, 45(3): 155-160. [23] 张春华, 和菊, 孙永玉, 等. 基于Maxent模型的原种红椿适生区变迁预测及在引种区划上的应用[J]. 云南大学学报:自然科学版, 2018, 40(1): 164-173. DOI: 10.7540/j.ynu.20170013. Zhang C H, He J, Sun Y Y, et al. Prediction of distributional change of Toona ciliata var ciliate and application in regionalization of introduction based on MaxEnt[J]. Journal of Yunnan University: Natural Sciences Edition, 2018, 40(1): 164-173. [24] 张今朝, 刘健, 余坤勇, 等. 气候变化下三明市主要针叶树种潜在地理分布的预测[J]. 福建农林大学学报: 自然科学版, 2018, 47(1): 74-81. DOI: 10.13323/j.cnki.j.fafu(nat.sci.).2018.01.012. Zhang J Z, Liu J, Yu K Y, et al. Prediction of geographical distribution of main conifer species under climate change in Sanming City[J]. Journal of Fujian Agriculture and Forestry University: Natural Science Edition, 2018, 47(1): 74-81. [25] 王小军, 刘光旭, 肖彤. 气候变化情景下油茶生长的适宜性特征[J]. 热带地理, 2020, 40(5): 868-880. DOI: 10.13284/j.cnki.rddl.003267. Wang X J, Liu G X, Xiao T. Suitability characteristics of Camellia oleifera growth under climate change scenarios[J]. Tropical Geography, 2020, 40(5): 868-880. [26] 黄彩梅, 刘海燕, 邹天才, 等. 贵州发展油茶种植业的区域划分[J]. 贵州农业科学, 2011, 39(5): 218-221. DOI: 10.3969/j.issn.1001-3601.2011.05.063. Huang C M, Liu H Y, Zou T C, et al. Regional division of development of Camellia oleifera production in Guizhou Province[J]. Guizhou Agricultural Sciences, 2011, 39(5): 218-221. [27] 毛帅琦. 湖南省农户油茶种植意愿及政策需求的研究——以浏阳市、平江县为例[D]. 长沙: 中南林业科技大学, 2015.Mao S Q. Research report on the problem of Oil-tea Camellia planting willingness of farmers in Hunan Province and policy needs: taking the Liuyang City, Pingjiang County for example[D]. Changsha: Central South University of Forestry Science & Technology, 2015.
[28] 胡加林, 邓绍平, 楼浙辉. 江西油茶栽培区划初探[J]. 江西林业科技, 2009, 37(3): 6-8. DOI: 10.16259/j.cnki.36-1342/s.2009.03.009. Hu J L, Deng S P, Lou Z H. Discuss on cultivation division of Camellia oleifera in Jiangxi[J]. Jiangxi Forestry Science & Technology, 2009, 37(3): 6-8. [29] 戴晓勇, 王进, 姜霞, 等. 贵州油茶区划初探[J]. 贵州林业科技, 2011, 39(1): 32-36. Dai X Y, Wang J, Jiang X, et al. Preliminary discussion on the regionalization of Camellia oleifera in Guizhou[J]. Guizhou Forestry Science & Technology, 2011, 39(1): 32-36. [30] 马帅兵, 李昌来, 周忠发. 贵州省油茶的生态适宜性评价及种植区划研究[J]. 安徽农业科学, 2011, 39(23): 14 094-14 097. DOI: 10.3969/j.issn.0517-6611.2011.23.075. Ma S B, Li C L, Zhou Z F. Ecological suitability and planting regionalization of Camellia oleifera in Guizhou Province[J]. Journal of Anhui Agricultural Sciences, 2011, 39(23): 14 094-14 097. [31] 王小军, 刘光旭, 相爱存, 等. 江西省油茶综合生产潜力与资源利用效率评估[J]. 应用生态学报, 2020, 31(4): 1 175-1 184. DOI: 10.13287/j.1001-9332.202004.029. Wang X J, Liu G X, Xiang A C, et al. Evaluation of comprehensive potential productivity and resource utilization efficiency of Camellia oleifera in Jiangxi Province, China[J]. Chinese Journal of Applied Ecology, 2020, 31(4): 1 175-1 184. [32] 崔相艳, 王文娟, 杨小强, 等. 基于生态位模型预测野生油茶的潜在分布[J]. 生物多样性, 2016, 24(10): 1 117-1 128. DOI: 10.17520/biods.2016164. Cui X Y, Wang W J, Yang X Q, et al. Potential distribution of wild Camellia oleifera based on ecological niche modeling[J]. Biodiversity Science, 2016, 24(10): 1 117-1 128.相关知识
基于气候因子的油茶含油率时空特征与种植分区研究
油用向日葵主要农艺性状的遗传效应及相关性研究
湖北省地区植被覆盖变化及其对气候因子的响应
小果油茶遗传多样性分析及杂交渐渗研究
祁连山乌鞘岭东段植被指数及土壤二氧化碳通量时空变化特征研究
油茶主要病虫害防控区域划分及其预测预报研究
吉林省落叶松林净初级生产力时空特征及其对气候变化的响应
铜仁优质油茶气候适应性研究及精细化区划
中国普通油茶种植气候适宜性区划
广西西北部油茶种植气候适宜度评价
网址: 基于气候因子的油茶含油率时空特征与种植分区研究 https://www.huajiangbk.com/newsview2443473.html
| 上一篇: 适合儋州海拔气候种植的油茶苗和杨 |
下一篇: [题目]阅读图文材料.完成下列要 |
推荐分享
- 1君子兰什么品种最名贵 十大名 4012
- 2世界上最名贵的10种兰花图片 3364
- 3花圈挽联怎么写? 3286
- 4迷信说家里不能放假花 家里摆 1878
- 5香山红叶什么时候红 1493
- 6花的意思,花的解释,花的拼音 1210
- 7教师节送什么花最合适 1167
- 8勿忘我花图片 1103
- 9橄榄枝的象征意义 1093
- 10洛阳的市花 1039
