江西省油茶综合生产潜力与资源利用效率评估

doi:10.13287/j.1001-9332.202004.029

应用生态学报 ›› 2020, Vol. 31 ›› Issue (4): 1175-1184.doi: 10.13287/j.1001-9332.202004.029

江西省油茶综合生产潜力与资源利用效率评估

王小军^1,2, 刘光旭^1*, 相爱存¹, 肖彤^1,3

¹赣南师范大学地理与环境工程学院, 江西赣州 341000;
²华南师范大学地理科学学院, 广州 510631;
³中国地质大学(武汉)资源学院, 武汉 430074

收稿日期:2019-07-25 出版日期:2020-04-20 发布日期:2020-04-20
通讯作者: *E-mail: lg760411@126.com
作者简介:王小军, 男, 1994年生, 硕士研究生。主要从事环境演变与资源生态研究。E-mail: gwangxj@163.com
基金资助:
国家自然科学基金项目(41561020)、江西省社会科学规划项目(19GL30)和国家级大学生创新创业训练计划项目(201710418003)资助

Evaluation of comprehensive potential productivity and resource utilization efficiency of Camellia oleifera in Jiangxi Province, China

WANG Xiao-jun^1,2, LIU Guang-xu^1*, XIANG Ai-cun¹, XIAO Tong^1,3

¹School of Geography and Environmental Engineering, Gannan Normal University, Ganzhou 341000, Jiangxi, China;
²School of Geographical Science, South China Normal University, Guangzhou 510631, China;
³Faculty of Earth Resources, China University of Geosciences (Wuhan), Wuhan 430074, China.

Received:2019-07-25 Online:2020-04-20 Published:2020-04-20
Contact: *E-mail: lg760411@126.com
Supported by:
This work was supported by the National Natural Science Foundation of China (41561020), the Social Science Planning Project of Jiangxi Province (19GL30), and the National Innovation and Entrepreneurship Training Program for University Students (201710418003).

摘要/Abstract

摘要： 江西适合油茶生长,但开发利用程度不高,分析评估其生产潜力与资源利用效率,可为进一步优化油茶种植分区、提高产量、合理利用国土资源等提供依据。以江西省油茶综合生产潜力为研究对象,基于潜力衰减法逐级修订得到自然生产潜力,结合社会有效系数得到综合生产潜力,并进行资源利用效率评估。结果表明: 1)江西省油茶各级生产潜力平均值在10229～17724 kg·km^-2,从赣南向赣西北递减,平均综合生产潜力为12550 kg·km^-2,分级后具有较高潜力和高潜力类可利用土地面积达51656 km²,占全省面积的31.1%;市级生产潜力中,赣州最高。2)江西省油茶生产潜力变幅为2223～3857 kg·km^-2,各级潜力变化量的区域差异较小;油茶资源满足率为69.3%～122.7%,各级资源满足率区域差异较小;油茶资源组合利用效率为49.1%～85%,各级生产潜力利用率的区域差异较大。3)综合生产潜力评估结果与江西油茶实际产量较符合,资源利用效率评估结果与江西自然和社会条件相符,可以作为相关研究与政策制定的参考。

Abstract: As an area suitable for the plantation of Camellia oleifera, Jiangxi had a low degree of development and utilization. Evaluating its potential productivity and resource utilization efficiency could provide reference for optimizing C. oleifera planting division, increasing yield and rationally utilizing land resources. Natural production potential of C. oleifera in Jiangxi was estimated by stepwise revised potential attenuation method. The comprehensive potential productivity was estimated by combined with social efficiency coefficient, with the resource utilization efficiency being evaluated. There were three main results. 1) Potential productivity of C. oleifera in Jiangxi varied from 10229 to 17724 kg·km^-2, which decreased from the south to the northwest, with an average potential of 12550 kg·km^-2. After classification, the area with higher and highest potential productivity reached 51656 km², accounting for 31.1% of the total area. Among the cities, Ganzhou had the highest potential productivity. 2) The changes of potential productivity of C. oleifera ranged from 2223 to 3857 kg·km^-2, with small regional difference for various levels. The resource satisfaction rate ranged from 69.3% to 122.7%, with small regional difference. The resource utilization efficiency varied from 49.1% to 85%. Regional utilization rate at all levels differed obviously. 3) The estimated comprehensive potential productivity was in line with the real production of C. oleifera in Jiangxi, and the assessed resource utilization efficiency was consistent with natural and social conditions. These results could be used as a reference for related research and policy making.

王小军, 刘光旭, 相爱存, 肖彤. 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): 1175-1184.

WANG Xiao-jun, LIU Guang-xu, XIANG Ai-cun, XIAO Tong. 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): 1175-1184.

参考文献 27

[1]	杨昭明, 冯晓莉, 黄霞, 等. 1987—2017年青海省东部农业区粮食作物生产潜力及产量差时空变化特征. 中国农学通报, 2019, 35(3): 26-33 [Yang Z-M, Feng X-L, Huang X, et al. Grain crops in eastern agricultural region of Qinghai during 1987-2017: Spatio-temporal variation characteristics of potential productivity and yield gaps.Chinese Agricultural Science Bulletin, 2019, 35(3): 26-33]
[2]	钟新科, 刘洛, 宋春桥, 等. 1981年至2010年中国东北地区春玉米气候潜力时空变化分析. 资源科学, 2012, 34(11): 2164-2169 [Zhong X-K, Liu L, Song C-Q, et al. Temporal-spatial variation of spring maize climatic productivity from 1981 to 2010 in Northeastern China. Resources Science, 2012, 34(11): 2164-2169]
[3]	李忠武, 叶芳毅, 李裕元, 等. 基于逐级递减法的洞庭湖区晚稻生产潜力模拟与预测. 地理研究, 2010, 29(11): 2017-2025 [Li Z-W, Ye F-Y, Li Y-Y, et al. Predictive analysis of late rice potential productivity in Dongting Lake Area (DLA) based on stepwise dimini-shing method. Geographical Research, 2010, 29(11): 2017-2025]
[4]	杜国明, 张露洋, 徐新良, 等. 近50年气候驱动下东北地区玉米生产潜力时空演变分析. 地理研究, 2016, 35(5): 864-874 [Du G-M, Zhang L-Y, Xu X-L, et al. Spatial-temporal characteristics of maize production potential change under the background of climate change in Northeast China over the past 50 years. Geographical Research, 2016, 35(5): 864-874]
[5]	Li ZH, Hu PC, Huang WH. Research on the dynamic climatic production potential of middle-season rice in Jiangxi Province. Meteorological and Environmental Research, 2010, 1: 50-52
[6]	Jones PG, Thornton PK. The potential impacts of climate change on maize production in Africa and Latin America in 2055. Global Environmental Change, 2003, 13: 51-59
[7]	刘文茹, 陈国庆, 曲春红, 等. RCP情景下长江中下游麦稻二熟制气候生产潜力变化特征研究. 生态学报, 2018, 38(1): 156-166 [Liu W-R, Chen G-Q, Qu C-H, et al. Variations in potential climatic productivity of wheat and rice in the middle and lower reaches of the Yangtze River under RCP scenarios. Acta Ecologica Sinica, 2018, 38(1): 156-166]
[8]	孙晓丽, 石淑芹, 李正国. 黑龙江省气候与社会经济因素对生产潜力影响的研究. 中国人口·资源与环境, 2014(增刊3): 349-353 [Sun X-L, Shi S-Q, Li Z-G. Study on impact of climate and social-economic factors on potential grain productivity in Heilongjiang Province. China Population, Resources and Environment, 2014(suppl.3): 349-353]
[9]	Qin YW, Liu JY, Shi WJ, et al. Spatial-temporal changes of cropland and climate potential productivity in northern China during 1990-2010. Food Security, 2013, 5: 499-512
[10]	时小琳, 刘伟平, 戴永务. 补贴政策对农户油茶种植决策行为影响的实证分析. 林业经济, 2017(9): 95-100 [Shi X-L, Liu W-P, Dai Y-W. Empirical analysis on the effect of the subsidy policy on farmers’ planting decision-making behavior of the Camellia oleifera Abel. Forestry Economics, 2017(9): 95-100]
[11]	洪燕真, 余韵, 刘伟平. 农户油茶经营行为特征研究——以福建省油茶种植户调查为例. 林业经济问题, 2011, 31(6): 504-509 [Hong Y-Z, Yu Y, Liu W-P. Study on operating behavior characteristics of Camellia oleifera Abel farming households: A case study of Fujian Camellia oleifera Abel planters. Problems of Forestry Economics, 2011, 31(6): 504-509]
[12]	余建辉, 洪燕真, 洪流浩, 等. 农户油茶供给潜力敏感性分析——基于福建省油茶地块投入产出调查数据. 中南林业科技大学学报: 社会科学版, 2012, 6(2): 54-57 [Yu J-H, Hong Y-Z, Hong L-H, et al. The sensitivity analysis of farmers’ Camellia oleifera Abel supply potentiality: Based on input-output survey data in Fujian. Journal of Central South University of Forestry and Technology: Social Sciences, 2012, 6(2): 54-57]
[13]	洪燕真, 刘伟平. 中国油茶种植潜力分析——基于福建省农户调查数据. 林业经济, 2012(11): 66-69 [Hong Y-Z, Liu W-P. Analysis on cultivation potentiality of Chinese Camellia oleifera Abel: Based on survey data of farming household in Fujian. Forestry Economics, 2012(11): 66-69]
[14]	蒋勇军, 王青, 俞音, 等. 岷江上游杂谷脑河流域农业综合生产潜力研究. 江苏农业科学, 2012, 40(4): 419-421 [Jiang Y-J, Wang Q, Yu Y, et al. Study on agricultural comprehensive potential productivity of Zagunao River Basin in the upper reaches of Minjiang River. Jiangsu Agricultural Sciences, 2012, 40(4): 419-421]
[15]	戴尔阜, 王昊, 吴绍洪, 等. 东北温带旱作农业主要作物生产潜力及资源利用效率评价——以黑龙江海伦市为例. 地理研究, 2007, 26(3): 461-469 [Dai E-F, Wang H, Wu S-H, et al. A method for calculating potential productivity of main crops in dry farming system as well as assessment of agricultural resources utilization in temperate zone, Northeast China: A case study of Hailun County, Heilongjiang Province. Geographical Research, 2007, 26(3): 461-469]
[16]	马岩, 陈利顶. 海伦地区粮食生产资源利用系统分析. 地理科学进展, 2009, 28(6): 998-1003 [Ma Y, Chen L-D. Systematical analysis on agricultural resources utilization in Hailun County based on crop potential productivity. Progress in Geography, 2009, 28(6): 998-1003]
[17]	庞英, 李树超. 商品粮产区农户粮食生产资源利用效率研究. 资源科学, 2013, 35(1): 82-90 [Pang Y, Li S-C. Resource utilization efficiency across commodity grain producing areas. Resources Science, 2013, 35(1): 82-90]
[18]	张娜娜, 王海涛, 吴颖超, 等. 基于数据包络分析模型的江苏省农业水资源利用效率评价. 水土保持通报, 2015, 35(4): 299-303 [Zhang N-N, Wang H-T, Wu Y-C, et al. Evaluation on agricultural water utilization efficiency of Jiangsu Province based on data enve-lopment analysis model. Bulletin of Soil and Water Conservation, 2015, 35(4): 299-303]
[19]	Dercas N, Liakatas A. Water and radiation effect on sweet Sorghum productivity. Water Resources Management, 2007, 21: 1585-1600
[20]	王晓煜, 杨晓光, 孙爽, 等. 气候变化背景下东北三省主要粮食作物产量潜力及资源利用效率比较. 应用生态学报, 2015, 26(10): 3091-3102 [Wang X-Y, Yang X-G, Sun S, et al. Comparison of potential yield and resource utilization efficiency of main food crops in three provinces of Northeast China under climate change. Chinese Journal of Applied Ecology, 2015, 26(10): 3091-3102]
[21]	江西省统计局, 国家统计局江西调查总队. 江西统计年鉴(2015, 2016, 2017). 北京: 中国统计出版社, 2016, 2017, 2018 [Statistic Bureau of Jiangxi, Jiangxi Survey Team of National Bureau of Statistics. Jiangxi Statistical Yearbook (2015, 2016, 2017). Beijing: China Statistics Press, 2016, 2017, 2018]
[22]	王青, 李国蓉, 俞音, 等. 农业综合生产潜力指标体系及其模型改进. 地理科学进展, 2010, 29(3): 273-278 [Wang Q, Li G-R, Yu Y, et al. Indicators and model on agricultural intergrated potential productivity. Progress in Geography, 2010, 29(3): 273-278]
[23]	占明锦, 章毅之, 孔萍. 江西省太阳能资源评估研究. 能源研究与管理, 2010(3): 19-22 [Zhan M-J, Zhang Y-Z, Kong P. The assessment of solar energy resource in Jiangxi Province. Energy Research and Management, 2010(3): 19-22]
[24]	蒋元华, 廖玉芳. 油茶气象影响指标研究综述. 中国农学通报, 2015, 31(28): 179-183 [Jiang Y-H, Liao Y-F. Research summary on meteorological influence indicators of oil tea Camellia. Chinese Agricultural Science Bulletin, 2015, 31(28): 179-183]
[25]	许东红. 基于潜力衰减法的潜江耕地产能核算及驱动力分析. 硕士论文. 武汉: 华中师范大学, 2016 [Xu D-H. Accounting the Cultivated Land Productivity of Qianjiang City Based on Potential Decay Method and the Driving Force Analysis Factors. Master Thesis. Wuhan: Central China Normal University, 2016]
[26]	靳京, 吴绍洪, 戴尔阜. 农业资源利用效率评价方法及其比较. 资源科学, 2005, 27(1): 146-152 [Jin J, Wu S-H, Dai E-F. Assessment on agricultural resources efficiency: Comparison on methods and integrated approaches. Resources Science, 2005, 27(1): 146-152]
[27]	刘光旭, 王小军, 肖彤, 基于气候因子的油茶含油率时空特征与种植分区研究. 云南大学学报: 自然科学版, 2020, doi: 10.7540/j.ynu.20190483 [Liu G-X, Wang X-J, Xiao T. Study on temporal and spatial chara-cteristics of oil content and planting divisions of Camellia oleifera based on climate factors. Journal of Yunnan University: Natural Science Edition, 2020, doi: 10.7540/j.ynu.20190483]

江西省油茶综合生产潜力与资源利用效率评估

Evaluation of comprehensive potential productivity and resource utilization efficiency of Camellia oleifera in Jiangxi Province, China

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 27

相关文章 0

编辑推荐

Metrics

本文评价