Climatic Regionalization of Orange Osmanthus in Pucheng County Based on GIS

[Objectives]This study was conducted to scientifically plan orange osmanthus planting in Pucheng County to promote the development of agricultural economy.[Methods]Two factors,the total number of days with daily average temperature≥15℃from March to August and the total number of days with daily average temperature≥20℃in September were determined as the regionalization index factors using the weather data and geographic information data of Pucheng County,according to the 80%guarantee rate principle,the mean square error method and the actual growth law of orange osmanthus.Then,according to the weighted stack method,comprehensively considering the on-site inspection results and expert opinions,the suitability of orange osmanthus planting layout in Pucheng County was evaluated,and the GIS spatial interpolation technology was applied to complete the refined agroclimatic regionalization.[Results]The growth of Pucheng orange osmanthus has a great relationship with the thermal conditions,and it is clear that the suitable,sub-suitable and unsuitable areas for orange osmanthus planting in Pucheng County have certain applicability and maneuverability.[Conclusions]This study will play a scientific guiding role in the industrialization and development of orange osmanthus planting in Pucheng County.

Climate Regionalization for Morchella esculenta Cultivation in the Western Sichuan Plateau Based on GIS

Based on the meteorological data and DEM data in the producing areas of Morchella esculenta in the western Sichuan plateau from 1991 to 2020, the biological characteristics of M. esculenta, as well as the survey of production in the planting area, the correlation between M. esculenta production and the climatic ecological conditions at an altitude of 1 200-3 000 m in the western Sichuan plateau was comprehensively analyzed by using the inverse distance weight method, analytic hierarchy process, climate risk assessment model and geographic information system(GIS), and restrictive or high impact climatic ecological factors were selected as the suitability zoning indicators to carry out the analysis of climatic ecological suitability and planting zoning. The results show that the climatic factors affecting M. esculenta cultivation in the western Sichuan plateau were mainly temperature, temperature difference between day and night, and humidity, and the main meteorological disaster was freezing disaster. Under the influence of vertical changes in temperature, topography and cold damage, the growing areas of M. esculenta in the western Sichuan plateau were mainly distributed in the Minjiang River basin and the river valley along the Dadu River basin at an altitude of 1 200-2 000 m, and were distributed in strips and branches along the rivers. The suitable areas were mainly distributed in Wenchuan, Lixian, Maoxian, Kangding, Jiulong and Luding counties(cities), which were the main producing areas of M. esculenta, but the area was small, accounting for only 3.5% of the study area;the sub-suitable areas were mainly distributed in some towns of Danba, Xiaojin, Wenchuan, Lixian, Maoxian, Heishui and Jiuzhaigou counties, accounting for 36.0% of the total area, and they were the main planting areas of M. esculenta.

Meticulous Regionalization of Climate Suitability about Spring Potato Planting in Western Guizhou Based on GIS

[Objective] The study aimed to carry out the regionalization of climate suitability about spring potato planting in Western Guizhou on the basis of GIS technology. [Method] Based on the climatic data of 15 meteorological stations in Western Guizhou during the growing period of spring potato from March to August in 1978-2010, the regionalization indicators of climate suitability about spring potato planting were determined according to the correlation between climatic factors and meteorological yield of spring potato. Afterwards, on the basis of climitic data and corresponding basic geographical information like longitude, latitude, altitude, slope and aspect, the spatial analysis models of division indicators about spring potato planting in Western Guizhou were established by using GIS spatial overlay analysis and used to carry out the township-level regionalization of climate suitability about spring potato planting in Western Guizhou with 100 m×100 m grids. [Result] Based on the relationship between meteorological yield of spring potato and climatic factors in Western Guizhou from 1978 to 2010, eight climatic division indicators, including altitude, average temperature,>10 ℃ active accumulated temperature, precipitation and sunshine hours in the growth stage, average temperature in July, average temperature difference between day and night from July to August, and precipitation from May to July, were chosen for spring potato planting, and each indicator had three levels, namely the most suitable, suitable and sub-suitable. Meanwhile, Western Guizhou was grouped into three areas according to these indicators, including the most suitable area, suitable area and sub-suitable area, and their area accounted for 52%, 45% and 3% of total area of the whole province respectively. [Conclusion] The research could provide scientific references for the production layout and species selection of spring potato in Western Guizhou.

Analysis and Regionalization of Climate Ecological Conditions for Blueberry in Nanchong City Based on GIS

By using the meteorological data,GIS data and blueberry production data of Nanchong and the surrounding areas in Nanchong from 1991 to 2022,the climate ecological suitability of blueberry was analyzed based on the growth habit of blueberry,and the restrictive and high-impact factors were selected as zoning indicators to carry out climate ecological zoning.The results show that Nanchong has a humid climate,and the annual average temperature in most parts is 15.0-17.8℃;the cold temperature duration in winter is more than 770 h,and the average maximum temperature in July is more than 30.0℃,so it is suitable for planting southern high-bush blueberry,rabbit-eye blueberry and a hybrid of northern and southern high-bush blueberry.Sunshine,high temperature in midsummer,daily temperature range at the fruiting stage and terrain slope are the main limiting or high-impact ecological factors of blueberry production in Nanchong,among which the adverse effect of insufficient sunshine is the largest.The meteorological disasters affecting blueberry production in Nanchong mainly include rainy weather,rainstorm and flood,high temperature and drought.High temperature and heavy heat damage in midsummer in areas at an altitude below 400 m have a great impact on the production of late-maturing blueberry.High temperature and summer drought are often accompanied in the southeast,which will aggravate the adverse effects.The suitable area of blueberry in Nanchong is mainly distributed in the shallow hilly area and the low-mountain deep hilly and gentle slope area at an altitude of 350-700 m.The less suitable area is mainly distributed in the flat dam area of shallow hill-valley at an altitude of below 350 m,the low-mountain area at an altitude of above 700 m,and other hilly areas with a slope of 15-30°.The unsuitable area is mainly distributed in hills with slope>30°,some sporadic shallow hills and flat dams at an altitude of below 300 m,river banks,water wetland buffer zones,etc.In order to make full use of the climate resources and the advantages of blueberry varieties,early-and medium-maturing southern high-bush varieties should be mainly planted in the low-altitude area below 400 m in Nanchong,and medium-and late-maturing varieties should be mainly planted in the medium-altitude area above 400 m.

基于GIS的福建芙蓉李气候适宜性区划

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3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。

基于GIS的宁夏酿酒葡萄种植区划

根据宁夏1∶25万地理信息数据和宁夏各气象站1960年-2005年的气候资料,在运用GIS技术对宁夏气候要素网格推算的基础上,利用全国北方主要酿酒葡萄产区取样化验资料,将7～8月份水热系数作为一级区划指标,7～9月大于等于10℃积温作为二级区划指标,同时考虑了土壤类型和灌溉条件的影响,采用多边形叠置方法对宁夏酿酒葡萄种植区域进行气候精细区划,得到作物农业气候区划空间数据集合。对生成的各种资源空间数据,进行多种图形整饰和矢量化处理,制作出250m空间分辨率的宁夏酿酒葡萄气候区划图和种植区划图。区划结果表明：宁夏开发优质酿酒葡萄基地的潜力很大,宁夏酿酒葡萄种植可分为4个区。酿酒葡萄种植特优区分布在包括贺兰山东麓在内的宁夏灌区周边风沙土区域,面积达1890km2;优质区主要集中在宁夏平原,贺兰山东麓,清水河流域等,面积约为20580km2,这一区域光热资源丰富、昼夜温差大、水热系数小于1.0,生长季降水量小于220mm,有好的灌溉条件。适宜区包括中部干旱带的大部分地区和卫宁平原的中卫;宁南阴湿区光热不足,年积温少于2700℃,不宜种植酿酒葡萄。

基于GIS的陕西省烤烟气候生态适宜性区划

为掌握陕西省烤烟种植气候适宜性地域分布,通过对气象条件影响烤烟生长的研究,确定陕西省烤烟气候区划指标,利用GIS技术对指标各气象因子进行空间分布模拟,结合区划指标制作出精细化的烤烟气候适宜性区划图。结果表明:陕南汉江支流海拔300～700 m的平原、缓坡地和商洛地区南部海拔1000 m以下的川道、浅山区为陕西省烤烟适宜区,此区光、热、水气候资源满足优质烤烟的生长需求,可作为陕西烤烟生产基地。

基于GIS的陕南茶树气候生态适宜性区划

为了科学、合理地利用陕南秦巴山区农业气候资源,进一步优化产业结构,达到趋利避害、防灾减灾的目的,笔者根据陕南秦巴山区近30年气候资料,采用年平均气温、年极端最低气温、≥10℃积温、年降水量4个因子作为陕南茶树气候适宜性区划指标;利用GIS空间分析及制图功能,在实现区划指标空间化基础上,采用模糊综合评判方法,对陕南秦巴山区茶树气候生态适宜性进行区划。结果表明,适宜区主要分布于秦巴山区沿汉江及其支流沿岸海拔950m以下的浅山丘陵地带,次适宜区主要分布在次适宜区周边海拔1200m以下浅山区,就各适宜区茶树生长气候条件优劣进行评述,并提出了有针对性的生产建议。

GIS技术支持下的陕西核桃精细化气候适宜性区划

利用陕西96个气象站1981—2010年气象资料和地理信息数据,采用GIS技术对核桃种植进行气候适宜性区划。通过对陕西核桃生长的生态气候适宜性和陕西气候特点分析,选取年平均气温、年降水量、年日照时数、极端最低气温多年平均、日平均气温≥38℃日数5个因子作为陕西核桃种植气候适宜性区划指标,建立区划因子的小网格推算模型,在GIS技术的支持下完成其空间化,采用模糊综合评判的方法得到陕西核桃精细化气候适宜性区划图,并进行分区评述。研究结果表明:适宜区主要分布在北起陕北北部的安塞、子长、清涧、吴堡一线,南至陕南汉江河谷,除秦岭、陇山、黄龙山的深山外,陕北沟壑区、渭北塬区、关中平原和秦岭的浅山丘陵地区;渭北旱塬以北和秦岭北麓高海拔适宜区,应选种抗霜冻核桃品种,在避风向阳、半阳坡的坡地栽植;陕南秦巴山区适宜区应选种抗湿性好、抗病性强的核桃品种。

基于GIS及气候-土壤-地形因子的浙江省茶树栽培适宜性评价

进行茶树栽培精细化的综合区划研究可为浙江省茶叶产业的规划布局提供科学依据。该文根据茶叶产量与气象、地形、土壤条件的相关分析,提出了茶树栽培综合区划指标为4个气候因子(年平均气温、稳定通过10℃的积温、极端最低气温≤-13℃出现的频率和4-10月的平均相对湿度)、2个土壤因子(土壤类型和土壤质地)和3个地形因子(坡度、坡向和海拔高度)。应用混合插值法(趋势面模拟+残差内插)对气候因子进行了细网格推算;采用加权指数求和法,建立了茶树栽培的综合区划评估模型,借助GIS技术,计算了综合评估指数的分布规律,参照土地利用现状,屏蔽不宜栽培区域,将浙江省茶树栽培区域划分为适宜、较适宜和不适宜3个等级,完成茶树专题综合区划图。结果表明,浙江省适宜茶树栽培的地域面积约占46.40%,主要分布在海拔高度为600～900m的半高山地区;较适宜区占44.94%,多分布在600m以下的平原、丘陵和低山区或介于900～1200m的山区;不适宜区占8.66%,为1200m以上的高山地区。结合茶叶生产现状,对浙江省茶树栽培的适宜性进行了分区评述,为浙江茶叶生产提供了依据。

基于GIS的广西沙田柚种植气候区划研究

根据沙田柚对气候条件的要求,分析确定了沙田柚种植的农业气候区划指标。利用广西90个气象台站30年的气候资料和1∶25万基础地理数据,建立区划指标的空间分析模型,按1km×1km细网格推算出无测站地区区划指标的空间分布。运用GIS技术划分出广西沙田柚种植的最适宜、适宜、次适宜和不适宜区,针对各区域气候特点提出了相应的建议,为沙田柚的合理布局以及趋利避害提高沙田柚产量和品质提供科学依据。

基于GIS的台湾青枣在福建引扩种的气候适宜性区划

为合理利用福建气候资源、优化台湾青枣在福建的种植布局,基于GIS开展台湾青枣在福建引扩种的气候适宜性区划。根据台湾青枣的生长气象指标、生命周期和生产管理特点,选取≥10℃年活动积温(∑T≥10℃)、年平均气温(Tavg)、90%保证率年极端最低气温(T90%JDW)、年降水量(R)、年日照时数(S)5个气象因子作为区划指标,构建台湾青枣的气候适宜性区划指标体系;采用专家打分法和层次分析法对区划指标进行权重分析,建立气候适宜指数算法;基于气象要素值、经度、纬度、海拔高度,通过线性回归建立5个区划指标的小网格推算模型;结合小网格推算模型和气候适宜指数算法,开展台湾青枣在福建引扩种的气候适宜性区划;采用前期相关研究成果、青枣种植现状对区划结果的可靠性进行验证。结果表明:台湾青枣的适宜种植区主要分布在泉州市辖区以南的沿海县市和漳州市的部分内陆县市;次适宜区主要分布在福建中部沿海地区及龙岩南部的永定、上杭部分乡镇,该区种植青枣可能遭受寒冻害,应注意低温防护;其余县市为不适宜种植区。区划结果与前期研究成果和青枣种植现状一致。研究结果可为台湾青枣在福建的引种、扩种和种植结构调整提供参考。

基于GIS的广东冬种辣椒气候适宜性区划

基于广东省86个气象站1980-2012年气候资料和1991-2010年冬季寒害灾情资料,采用冬季(12月-翌年2月)≥15℃有效积温作为冬种辣椒的气候资源指标,选取寒害过程中最低气温<10℃的天数、日最低气温<10.0℃积寒量构建冬种辣椒的寒害风险指标,完善了冬种辣椒的种植气候适宜性指标。构建指标的空间分析模型,采用Arc GIS的空间分析和多层复合方法,对广东冬种辣椒的气候适宜性进行了区域划分。结果表明,冬种辣椒的气候最适宜种植区主要分布在雷州半岛、茂名、阳江等地区,适宜种植区主要分布在南部沿海地区和中部偏南地区,次适宜种植区主要分布在中部偏北地区和北部偏南地区,不适宜种植区主要分布在肇庆、清远、韶关、河源及梅州等地的北部。

基于GIS/RS的江西省农业气候区划

在农业气候资源研究中,气象观测站点数据的区域化问题是进行资源优化配置和高效利用的一个重要环节。利用江西省84个气象站点,采用SPSS统计软件逐步回归分析方法分别建立江西省年均降水和年均气温与经度、纬度和海拔之间的统计线性关系模型,结合SRTM-DEM、经度和纬度计算江西省每个栅格点上的年均气温和降水。在ArcGIS支持下,利用统计关系模型对月平均温度和降水进行了区域化。并以年均降水量和气温作为气候特征指标进行聚类,将江西省划分为6个农业气候类型区:(1)湖泊气候区;(2)平原气候区;(3)赣西北中低山丘陵气候区;(4)赣东低山丘陵气候区;(5)山地气候区;(6)高山气候区。

基于GIS的四川省油桃精细化农业气候区划

从影响油桃生长的光、温、水条件出发,分析油桃对气候条件的需求,影响其生长的限制因素,综合前人研究成果,以年平均气温、冬季日平均气温<7.2℃天数、4—5月平均气温、6月平均气温、5月下旬到6月中旬雨日、3—6月日照时数以及4—10月降水量为区划指标,用四川省150个气象站气象资料为基本资料,通过数理统计方法分别建立各指标要素的空间分布模型,利用GIS技术和决策树法,对四川省油桃进行精细化农业气候区划,分为适宜区、较适宜区、不适宜区3个区域,以期对四川油桃的产业化布局和发展起到科学的指导作用。

GIS支持下的三峡库区湖北段农业气候资源评估与区划

根据三峡库区湖北段现有气象站网和亚热带东部山区气候考察资料 ,建立其相应的光、热、水资源小网格推算模式。引入CityStar中的经纬线、数字高程等图层 ,推算了该地区 10 0m× 10 0m网格点上的农业气候资源要素值 ,再利用区划制作系统 ,按照给定的农业气候资源分区指标 ,得到该区农业气候资源区划专题图 。

基于GIS的贵州烤烟种植气候区划研究

采用2005-2006年贵州不同海拔烤烟试验点品质资料,利用地理信息系统(GIS)平台,将烤烟大田期各气象要素通过空间插值和地形订正(经度、纬度、海拔高度等)处理与品质资料一一对应。采用相关分析方法分析各气象要素对烤烟品质的影响,确定关键时期及影响因子权重,在GIS平台下完成贵州省烤烟种植气候区划,将贵州烟区划分为5个气候类型区。

基于GIS的云南省茶树种植气候适宜性区划

以≥10℃积温、1月平均最低气温、12月-次年3月月平均降水量和年降水量作为云南茶树种植气候适宜性评价指标,基于125个气象站历年气候资料和1∶25万地理信息数据,应用GIS技术和气候要素空间分布回归模型,模拟全省复杂地形下的气候要素空间分布;再依据确定的评价指标进行云南省茶树种植气候精细化区划。结果表明,最适宜种植区主要集中在哀牢山以西的德宏、临沧、普洱3州市和西双版纳州大部分地区;适宜区为保山、临沧、普洱、红河和文山州北部边界以南一带,昭通市东北角适宜种植中、小叶种茶叶;次适宜区为滇西北南部、滇中一带以及滇东北南部,区域内气候条件只能基本满足茶树种植;滇东北、滇西北2 000 m高度以上为不适宜区。

基于GIS的重庆市茶树气候区划研究

本文在分析茶树栽培与气象条件关系和重庆市气候资源和气象灾害特点的基础上,综合确定了影响重庆市茶树区域分布差异的主要气候生态区划指标;利用Arc GIS和数字高程模型(DEM)得到重庆市80%保证率≥10℃活动积温、春旱、夏旱、伏旱和秋旱100m×100m空间分布,制作了茶树气候生态区划,将重庆市划分为:气候炎热大叶茶适宜栽培区,气候温热中小叶茶适宜、大叶茶次适宜栽培区,气候温和中小叶茶适宜栽培区,气候温凉中小叶茶次适宜栽培区和气候寒冷茶树不适宜栽培区等5种类型区,为重庆市茶树产业合理布局提供了依据。

基于GIS辽宁省‘红富士’苹果农业气候区划

为研究辽宁省‘红富士’苹果适宜栽种的气候分区,利用辽宁52个气象站点1981—2010年气候资料和台站地理信息,采用GIS技术对红富士苹果的热量、降水和日照等气候资源进行网格推算并予以分析。根据红富士苹果对气象条件的要求,确定了气候区划指标,并将全省划分为最适宜种植区、适宜种植区、次适宜种植区和不适宜种植区4个分区。结果表明,(1)1月平均气温和4—10月温量指数对‘红富士’苹果栽种影响最大,选二者为‘红富士’苹果气候区划指标;(2)‘红富士’苹果的发展坚持-10℃安全线原则,在辽南应主要在大连市主要发展、营口市南部适当发展;在辽西主要是葫芦岛市的西南部、朝阳市的西南部和锦州市南部;辽中应在盘锦适当发展;辽东的丹东南部沿海一带适当发展。