Scientia Agricultura Sinica ›› 2019, Vol. 52 ›› Issue (3): 445-454.doi: 10.3864/j.issn.0578-1752.2019.03.005

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

A Method of Ecological Suitability Evaluation and Its Application for Maize Planted in Mountain Farmland Based on GIS (Case Study: Xundian County)

LI Chao1,LI WenFeng2(),ZHAO Yao2,SHANG JingMin2   

  1. 1 Yunnan Meteorological Observatory, Kunming 650034
    2 Engineering Technical Research Centre of Agricultural Big-data in Yunnan, Kunming 650201
  • Received:2018-09-11 Accepted:2018-12-17 Online:2019-02-01 Published:2019-02-14

RichHTML

27

PDF

721

Abstract:

【Objective】 Crop suitability evaluation is an important means for production zoning. This paper developed a new evaluation model of the ecological suitability for maize planted in mountain farmland, according to climatic, soil and topography condition. 【Method】 An evaluation index system of maize ecological suitability were selected after a systematic and comparative analysis of literature reviews, and 18 eco-environment factors were involved in the system. A climate model was established by the method of agricultural modeling based on the climatic conditions of maize growth period and ecological efficiency. The membership function method was used to calculate the suitability index for numerical and conceptual indicator variables, respectively. Expert scoring and analytic hierarchy process were used to determine the weight of each factor. Combining the weights and evaluation function, a new evaluation model was constructed to evaluate the suitability of climate, soil nutrient, site conditions, land management, and comprehensive ecological suitability. According the stereoscopic character of mountain farmland, evaluation units were divided by land using, soil type, and administrative division. The values of 18 indicators were calculated by GIS spatial analysis and attached into evaluation unites. Using the evaluation model and spatial data, the maize ecological suitability was evaluated for each class respectively or comprehensively. 【Result】 This method was used to evaluate maize ecological suitability in Xundian county, where the cultivated land was divided into 8 415 evaluation units. The suitable and high suitable area in climatic condition, soil nutrient, site condition, land management accounted for 58%, 86%, 42%, and 90%, respectively. The suitable and higher suitable area of maize planting accounted for 50.6% and 35.4%, respectively, which mainly distributed in the middle-southeast low-middle hilly area, and some in the central and northern Jinsha River valleys and western valley trough areas. The barely suitable and unsuitable area accounted for 9.4% and 4.6%, which mainly distributed in the northwest and some in the west of the central part. 【Conclusion】 This method was able to response the climatic difference during maize growth period and the stereoscopic character of mountain farmland. The suitability area distributed as fragments. The results were consistent with the regional situation basically. The climate and terrain were primary limit factors for the ecological suitability of maize in the region.

Key words: GIS, maize, ecological suitability, evaluation, Xundian county

Fig. 1

Commonly-used indexes and usage frequency for evaluation of maize ecological suitability"

Table 1

Indexes and their weights for evaluation of maize ecological suitability"

目标层
Target layer		 准则层
Rule layer		 权重
Weight		 指标层
Index layer		 权重
Weight
生态适宜性评价指标Evaluation index system of ecological suitability 气候条件
Climate condition, U1		 0.451 日平均气温Daily average temperature, U11 (℃) 0.069
≥10℃积温≥10℃ accumulated temperature, U12 (℃) 0.188
降水量Precipitation, U13 (mm) 0.116
日照时数Sunshine hours, U14 (h) 0.082
土壤肥力Soil nutrient, U2 0.146 有机质Organic matter, U21 (g·kg-1) 0.057
有效磷Available P, U22 (mg·kg-1) 0.024
速效钾Available K, U23 (mg·kg-1) 0.025
碱解氮 Available N, U24 (mg·kg-1) 0.017
立地条件Site condition, U3 0.168 pH, U31 0.035
土壤质地Soil texture, U32 0.017
坡度Slope, U33 (°) 0.014
坡向Aspect, U34 0.008
海拔Altitude, U35 (m) 0.043
地貌类型Topographic type, U36 0.017
耕层厚度Tillage depth, U37 (cm) 0.034
成土母质Parent material, U38 0.016
土地管理
Land management, U4		 0.235 灌溉能力Irrigation, U41 0.113
排涝能力Drainage, U42 (t·km-2) 0.125

Table 2

Membership function for numeric factors"

评价指标
Evaluation index		 函数类型
Function type		 隶属函数
Membership function		 标准值
Standard value		 极限值
Limit value
有机质Organic matter 戒上型Upper limit Y=1/[1+0.006889×(ui–c)2][21,24,27] 30 10
有效磷Available P 戒上型Upper limit Y=1/[1+0.00653×(ui–c)2][21,24,27] 40 3
速效钾Available K 戒上型Upper limit Y=1/[1+0.000064×(ui–c)2][21,24,27] 200 30
碱解氮Available N 戒上型Upper limit Y=1/[1+0.001335×(ui–c)2][21,24,27] 150 30
耕层厚度Tillage depth 戒上型Upper limit Y=1/[1+0.00745×(ui–c)2][28,29] 40 22
坡度Slope 戒下型Lower limit Y=1/[1+0.00496×(ui–c)2][28,29] 2.84 15
pH 峰值型Peaker Y=1/[1+0.265×(ui–c)2] [21,24,27] 5.74 4.5/8.5

Table 3

Membership function for conceptual factors"

评价指标
Evaluation index		 描述
Description		 专家评估值
Expert evaluation value
排涝能力
Irrigation		 指标Index 优Excellent 良Good 中Fair 较差Worse 差Poor
隶属度Membership 1.0 0.8 0.6 0.4 0.2
灌溉保证率
Drainage		 指标Index 80-95 65-80 50-65 30-50
隶属度Membership 1.0 0.9 0.7 0.5
成土母质
Parent material		 指标Index 5, 6, 8 9 7 3, 4 1, 2
隶属度Membership 1 0.8 0.7 0.5 0.4
坡向
Aspect		 指标Index 南
North		 东南、东
Southeast, East		 西南
Southwest		 西
West		 北、东北、西北
North,Northeast,Northwest
隶属度Membership 1 0.8 0.7 0.6 0.4
土壤质地
Soil texture
 指标Index 中壤
Medium loam soil		 轻壤
Light soil		 黏壤
Clay loam soil		 砂壤
Sandy loam soil
隶属度Membership 1.0 0.9 0.8 0.7
地貌类型
Topographic type		 指标Index 1-3 4 5-6 7-10 11-16
隶属度Membership 1.0 0.9 0.8 0.7 0.6
海拔
Altitude		 指标Index ≤1900 1900-2200 2200-2600 2600-3100 ≥3100
隶属度Membership 1 0.9 0.8 0.7 0.5

Fig. 2

Distribution of maize ecological suitability in Xundian"

Fig. 3

Area percentage of every maize ecological suitability grade in Xundian"

[1] 蒋好忱, 雷宝佳, 郭忆 . 自然立地条件下云南省普洱茶种植适宜性分析. 热带农业科学, 2013,33(10):19-23.
JIANG H C, LEI B J, GUO Y . Suitability analysis of planting puer tea in Yunnan province based on natural conditions. Chinese Journal of Tropical Agriculture, 2013,33(10):19-23. (in Chinese)
[2] 郭祥, 范建容, 朱万泽, 严冬 . 基于GIS的四川省油橄榄生态适宜性模糊综合评价. 生态学杂志, 2010,29(3):586-591.
GUO X, FAN J R, ZHU W Z, YAN D . Ecological suitability of olive in Sichuan province fuzzy comprehensive evaluation based on GIS. Chinese Joumal of Ecology, 2010,29(3):586-591. (in Chinese)
[3] 游娟, 潘瑜春, 陈柏松, 王纪华, 陆洲, 张吴明 . 基于GIS的绿色农产品基地适宜性评价. 农业工程学报, 2010, 26(10):325-330+391.
YOU J, PAN Y C, CHEN B S, WANG J H, LU Z , ZHANG W M . GIS-based suitability evaluation for green agricultural product base. Transactions of the Chinese Society of Agricultural Engineering, 2010,26(10): 325-330+391. (in Chinese)
[4] 李文峰, 李超, 杨林楠, 李明, 刘晓林 . 基于WebGIS的食用农产品产地环境质量评价系统. 农业工程学报, 2011,27(6):198-202.
LI W F, LI C, YANG L N, LI M, LIU X L . Farmland environmental quality evaluation system for edible agricultural products based on WebGIS. Transactions of the Chinese Society of Agricultural Engineering, 2011,27(6):198-202. (in Chinese)
[5] MOHAMED A E A, NATARAJAN A, RAJENDRA H . Assessment of land suitability and capability by integrating remote sensing and GIS for agriculture in Chamarajanagar district, Karnataka, India. The Egyptian Journal of Remote Sensing and Space Sciences, 2016,19:125-141.
doi: 10.1016/j.ejrs.2016.02.001
[6] JAYASINGHE P K S, MACHIDA T . Web-based GIS online consulting system with crop land suitability identification. Agriculture Information Research, 2008,17:13-19.
[7] RANYA E , ABDUL R B M S, FAZEL A, NOORDIN B A, SIVA K B, MOHA A M S. Agriculture Land Suitability Evaluator (ALSE): A decision and planning support tool for tropical and subtropical crops. Computers and Electronics in Agriculture, 2013,93:98-110.
doi: 10.1016/j.compag.2013.02.003
[8] 何英彬, 陈佑启, 杨鹏 . 国外基于GIS土地适宜性评价研究进展及展望. 地球科学进展, 2009,28(6):898-906.
HE Y B, CHEN Y Q, YANG P . An overview and perspective of alien land suitability evaluation study based on GIS technology. Progress in Geography, 2009,28(6):898-906. (in Chinese)
[9] 赵彦锋, 程道全, 陈杰, 孙志英 . 耕地地力评价指标体系构建中的问题与分析逻辑. 土壤学报, 2015,11(6):1197-1208.
ZHAO Y F, CHEN D Q, CHEN J, SUN Z Y . Problems and analytical logic in building cultivated land productivity evaluation index system. Acta Pedologica Sinica, 2015,11(6):1197-1208. (in Chinese)
[10] 黄亚捷, 叶回春, 张世文, 勋文聚, 黄元仿 . 基于自组织特征映射神经网络的中国耕地生产力分区. 中国农业科学, 2015,48(6):1136-1150.
HUANG Y J, YE H C, ZHANG S W, XUN W J, HUANG Y F . Zoning of arable land productivity based on self-organizing map in China. Chinese Agricultural Sciences, 2015,48(6):1136-1150. (in Chinese)
[11] 郄瑞卿, 关侠, 鄢旭久, 窦世翔, 赵玲 . 基于自组织神经网络的耕地自然质量评价方法及其应用. 农业工程学报, 2014,30(23):298-305.
QIE R Q, GUANG X, YAN X J, DOU S X, ZHAO L . Method and its application of natural quality evaluation of arable land based on self-organizing feature map neural network. Transactions of the Chinese Society of Agricultural Engineering, 2014,30(23):298-305. (in Chinese)
[12] 李奇峰, 刘曦, 孔箐锌, 陆洲, 潘瑜春, 秦向阳 . 基于空间聚类的作物生态适宜性评价方法研究——以北京市为例. 中国农学通报, 2011,27(11):262-265.
LI Q F, LIU X, KONG J X, LU Z, PAN Y C, QIN X Y . The research of crop ecological suitability based on spatial clustering-A case of Beijing. Chinese Agricultural Science Bulletin, 2011,27(11):262-265. (in Chinese)
[13] 杨东, 郭盼盼, 刘强, 刘洪敏, 郑凤娟 . 基于模糊数学的甘肃陇南地区农作物气候适宜性分析. 西北农林科技大学学报(自然科学版), 2010,38(7):98-104, 110.
YANG D, GUO P P, LIU Q, LIU H M, ZHENG F J . Study and analysis of cropper climate suitability based on fuzzy mathematics in Longnan mountainous area. Journal of Northwest A&F University (Natural Science Edition), 2010,38(7):98-104, 110. (in Chinese)
[14] 张愉 . 基于模糊数学方法的复垦耕地适宜性评价[D]. 成都: 成都理工大学, 2014.
ZHANG Y . Reclamation of cultivated land suitability evaluation based on fuzzy mathematical methods abstract[D]. Chengdu: Chengdu University of Technology, 2014. ( in Chinese)
[15] 戴慧, 胡月明, 谢健文, 袁圣青, 王春林 . 基于GIS和物元模型的油茶适宜性评价系统. 计算机工程与设计, 2014,35(3):1100-1104.
DAI H, HU Y M, XIE J W, YUAN S Q, WANG C L . Suitable evaluation system of camellia planting based on GIS and matter- element model. Computer Engineering and Design, 2014,35(3):1100-1104. (in Chinese)
[16] 伍少云, 孙荣, 奉有壁 . 云南省玉米地方种质资源类型及其品种的地理和生态分布 . 西南农业学报, 2004(S1):1-6.
WU S Y, SUN R, FENG Y B . Eco-geographical distribution of types and varieties of native core germplasm resource in Yunnan province . Southwest China Journal of Agricultural Sciences, 2004(S1):1-6. (in Chinese)
[17] 白树明, 黄中艳, 王宇 . 云南玉米需水规律及灌溉效应的试验研究 . 中国农业气象, 2003(3):20-23.
BAI S M, HUANG Z Y, WANG Y . Experimental studies on the orderliness of water requirement and irrigating effects of maize in Yunnan .Chinese Journal of Agrometeorology, 2003(3):20-23. (in Chinese)
[18] 段兴武, 谢云, 张玉平, 刘冰 . PI 模型在东北松嫩黑土区土壤生产力评价中的应用. 中国农学通报, 2010,26(8):179-188.
DUAN X W, XIE Y, ZHANG Y P, LIU B . Applied PI model in soil productivity assessment of Songnen black soil region in northeast China. Chinese Agricultural Science Bulletin, 2010,26(8):179-188. (in Chinese)
[19] 薛彦东, 辛景树, 任意, 万广华, 张桂兰, 杨瑞让 . 华北小麦玉米轮作区耕地地力等级划分及特征. 农业资源与环境学报, 2015,32(6):530-536.
XUE Y D, XIN J S, REN Y, WAN G H, ZHANG G L, YANG R R . Characteristics and gradations of cultivated land fertility for winter wheat-summer maize rotation system in North China. Journal of Agricultural Resources and Environment, 2015,32(6):530-536. (in Chinese)
[20] 朱勇, 李树云, 张石宝 . 云南南亚热带地区气候资源与水稻、冬播玉米的适应性. 南京气象学院学报, 2000(2):299-304.
ZHU Y, LI S Y, ZHANG S B . Climate resource and adaptability of rice and winter-sown maize in southern subtropical zone of Yunnan. Journal of Nanjing Institute of Meteorology, 2000(2):299-304. (in Chinese)
[21] 李荣平, 周广胜, 王笑影, 史奎桥 . 不同物候模型对东北地区作物发育期模拟对比分析. 气象与环境学报, 2012,28(3):25-30.
LI R P, ZHOU G S, WANG X Y, SHI K Q . Comparative analysis of simulation on crop development stage using different phenological models in Northeast China. Journal of Meteorology and Environment, 2012,28(3):25-30. (in Chinese)
[22] 孙小龙, 闫伟兄, 武荣盛, 李平 . 基于气候适宜度建立河套灌区玉米生育期模拟模型. 中国农业气象, 2014,35(1):62-67.
SUN X L, YAN W X, WU R S, LI P . Simulation model for maize developmental stages in Hetao irrigation area based on climate suitability. Chinese Journal of Agrometeorology, 2014,35(1):62-67. (in Chinese)
[23] 王展, 刘荣花, 薛明, 李树严 . 基于气候适宜度的夏玉米发育期模拟模型. 气象科学, 2015,35(1):77-82.
WANG Z, LIU R H, XUE M, LI S Y . Simulation model of summer maize phenology based on climatic suitability. Journal of the Meteorological Sciences, 2015,35(1):77-82. (in Chinese)
[24] 魏瑞江, 宋迎波, 王鑫 . 基于气候适宜度的玉米产量动态预报方法. 应用气象学报, 2009,20(5):622-627.
WEI R J, SONG Y B, WANG X . Method for dynamic forecast of corn yield based on climatic suitability. Journal of Applied Meterological Science, 2009,20(5):622-627.
[25] 李树岩, 陈怀亮 . 河南省夏玉米气候适宜度评价. 干旱气象, 2014,32(5):751-759.
LI S Y, CHEN H L . Evaluation studies on climate suitability of summer maize in Henan province. Journal of Arid Meteorology, 2014,32(5):751-759. (in Chinese)
[26] 吕新 . 生态因素对玉米生长发育影响及气候生态模型与评价系统建立的研究[D]. 泰安: 山东农业大学, 2002.
LÜ X . Studies on effects of ecological factors on growth of maize and establishment of climate ecology model and appraisement system[D]. Taian: Shandong Agricultural University, 2002. ( in Chinese)
[27] 侯越 . 内蒙古赤峰市玉米种植适宜性评价研究[D]. 杨凌: 西北农林科技大学, 2013.
HOU Y . Study of corn suitability assessment method at Chifeng city in Inner Mongolia[D]. Yangling: Northwest A&F University, 2013. ( in Chinese)
[28] 董博, 江晶, 郭天文, 张东伟, 蒙德学, 慕兴中 . 镇原县玉米生态适宜性评价及种植区划. 土壤通报, 2013,44(3):526-531.
DONG B, JIANG J, GUO T W, ZHANG D W, MENG D X, MU X Z . Ecological suitability evaluation and planting division of maize in Zhenyuan. Chinese Journal of Soil Science, 2013,44(3):526-531. (in Chinese)
[29] 侯英雨, 张艳红, 王良宇, 吕厚荃, 宋迎波 . 东北地区春玉米气候适宜度模型. 应用生态学报, 2013,24(11):3207-3212.
HOU Y Y, ZHANG Y H, WANG L Y, LÜ H Q, SONG Y B . Climatic suitability model for spring maize in Northeast China. Chinese Journal of Applied Ecology, 2013,24(11):3207-3212. (in Chinese)
[30] MICHAEL J D S, MICHAEL F G, PAUL A L . Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools. UK: The Winchelsea Press, 2007
[31] 袁磊, 陈国平, 罗宇 . 中国西南典型山区县级耕地地力评价与分级. 国土资源科技管理, 2017,34(6):82-93.
YUAN L, CHEN G P, LUO Y . Evaluation and classification of cultivated land fertility in inaccessible mountainous areas of Southwest China. Scientific and Technological Management of Land and Resources, 2017,34(6):82-93. (in Chinese)
[32] 王静宇, 袁希平, 甘淑 . 基于GIS技术的县域耕地地力评价-以云南省寻甸县为例. 昆明理工大学学报(理工版), 2008,33(3):1-6.
WANG J Y, YUAN X P, GAN S . Evaluation of farmland productivity based on GIS technology-A case study of Xundian county,Yunnan province. Journal of Kunming University of Science and Technology (Science and Technology), 2008,33(3):1-6. (in Chinese)
[1] CUI JieHao, ZHANG Meng, WANG Qin, YU JiaYan, LIN Kun, LI ShangZe, LAN Heng, GENG YanQiu, ZHANG Qiang, GUO LiYing, SHAO XiWen. Evaluation of Lodging Resistance and Its Physiological Mechanisms in Japonica Rice Resources [J]. Scientia Agricultura Sinica, 2026, 59(7): 1420-1438.
[2] WANG YaFei, YAN Peng, XUE JinTao, DONG XueRui, MENG FanQi, GUO LiNa, LUO Yi, ZHANG Juan, DONG ZhiQiang, LU Lin. Effects of Ethephon-Glycine Betaine-Salicylic Acid Mixture on Root System Architecture, Physiological Function and Yield of Maize Under Heat Stress [J]. Scientia Agricultura Sinica, 2026, 59(7): 1439-1455.
[3] ZHANG ZhiLin, LIU Rong, ZONG XuXiao, HAO XiaoPeng, YANG Tao. Integrated Multi-Stage Evaluation of Salt Tolerance in Vicia faba L. and Itaconic Acid-Mediated Alleviation of Germination-Stage Salt Stress [J]. Scientia Agricultura Sinica, 2026, 59(6): 1172-1188.
[4] WANG JiaNuo, CHEN GuiPing, LI Pan, WANG LiPing, NAN YunYou, HE Wei, FAN ZhiLong, HU FaLong, CHAI Qiang, YIN Wen, ZHAO LiaoHao. Photo-Physiological Mechanism at Grain Filling Stage of No-Tillage with Plastic Re-Mulching to Increase Maize Yield in Oasis Irrigation Areas [J]. Scientia Agricultura Sinica, 2026, 59(6): 1189-1202.
[5] ZHOU XinJie, REN Hao, CHEN YingLong, ZHANG JiWang, ZHAO Bin, REN BaiZhao, LIU Peng, WANG HongZhang. Effects of Calcium Peroxide on Root Morphology and Yield Formation of Summer Maize in Waterlogging Farmland [J]. Scientia Agricultura Sinica, 2026, 59(6): 1203-1216.
[6] HE JiHang, ZHANG Qing, LÜ XiangYue, XUE JiQuan, XU ShuTu, LIU JianChao. Evaluation of Nitrogen Efficiency of Different Stay-Green Maize Hybrids [J]. Scientia Agricultura Sinica, 2026, 59(6): 1217-1230.
[7] LI YongJuan, ZHANG YueTong, WANG YiBo, ZHAO ChangJiang, SONG Jie, CHEN XueLi, YAO Qin. Effects of Biochar Application on the Abundance and Community Composition of Nitrogen-Fixing Microbial nifH Gene in Soybean Rotation and Continuous Cropping Systems [J]. Scientia Agricultura Sinica, 2026, 59(6): 1272-1285.
[8] CHEN MinDong, QIU BoYin, HUANG Hao, LI YongPing, WEN QingFang. Evaluation of Curd Texture Quality in Loose-Curd Cauliflower Germplasm [J]. Scientia Agricultura Sinica, 2026, 59(6): 1302-1316.
[9] ZHANG LiDong, GUO YiCong, HUANG HongYu, NIE Jing, WANG Bing, LI MengYu, LI JiaWang, SUI XiaoLei, LI YuHe. Correlation Analysis of Cucumber Fruit Quality Integrating Sensory Evaluation with Nutritional Traits and Flavor Compound Characteristics [J]. Scientia Agricultura Sinica, 2026, 59(5): 1087-1100.
[10] JIAO WenJuan, HE WanLong, GENG HongWei, BAI Bin, LI JianFeng, CHENG YuKun. Stripe Rust Resistance Evaluation and Molecular Characterization of Yr Genes for 155 Spring Wheat Varieties (Lines) [J]. Scientia Agricultura Sinica, 2026, 59(5): 937-950.
[11] LI SiYuan, LI HongPing, CHANG HongQing, ZHANG SenYan, LI SiJia, CUI XinFei, QIAO Po, ZENG Bo, LIU GuiZhen, LIU TianXue, TANG JiHua, LI ChaoHai. Effects of Density Increase on Dynamic Change of Yield and Agronomic Traits of Maize Cultivars with Different Plant Heights [J]. Scientia Agricultura Sinica, 2026, 59(5): 967-984.
[12] DONG JinLong, ZHAO Ying, YU HaiBing, LÜ JianYe, QIN JiaQi, LIANG Chen, MING Bo, LI ShaoKun. Multi-Model Elucidating of Nutritional Quality Contributions to Maize Kernel Test Weight and Regional Heterogeneity [J]. Scientia Agricultura Sinica, 2026, 59(5): 985-995.
[13] HAO Kun, CHEN HongDe, ZHANG Wei, ZHONG Yun, DANG MeiRong, ZHU ShiJiang, HUANG ZhiKun, JIN Ying. Comprehensive Evaluation of Water-Nitrogen Management Under Surge-Root Irrigation Based on Citrus Yield, Quality, and Water- Nitrogen Use Efficiency [J]. Scientia Agricultura Sinica, 2026, 59(4): 862-873.
[14] YANG Rui, CHEN JingDong, HUANG Ying, XIE LingLi, ZHANG XueKun, ZHOU DengWen, LIU QingYun, XU JinSong, XU BenBo. Genetic Improvement and Configuration Analysis of High-Yield Rapeseed Lines in the Upper Reaches of the Yangtze River [J]. Scientia Agricultura Sinica, 2026, 59(2): 250-264.
[15] CHEN GuiPing, WEI JinGui, GUO Yao, LI Pan, WANG FeiEr, QIU HaiLong, FENG FuXue, YIN Wen. Synergistic Effects of Wide-Narrow Row and Density Enhancement on the Photosynthetic Characteristics and Resource Utilization of Maize in Oasis Irrigation Areas [J]. Scientia Agricultura Sinica, 2026, 59(2): 278-291.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备09089781号-30
Copyright 2018 © Editorial office of Scientia Agricultura Sinica
Tel: 86-010-82106279    E-mail: zgnykx@mail.caas.net.cn
Supported by Beijing Magtech Co.Ltd