气候变化背景下胶州湾地区农业生态系统的脆弱性研究
[Abstract]:China's climate change is complex and diverse, with both the temporal and spatial consistency of large scale, the heterogeneity of different time periods or regions, and the increasing trend of extreme weather events, which is strongly influencing the social and economic aspects of coastal zone. Coastal zone has become one of the hot spots of global climate change. China is a big agricultural country. Under the background of global warming and extreme events, it is not only the scientific basis for realizing the sustainable development of social economy in coastal zone, but also the effect on climate change in coastal zone. Action on climate change adaptation responses and initiatives. Jiaozhou Bay is a typical representative of the northern coast of China, and is the most marine climate in middle latitude coastal zone. Since the reform and opening-up, the coastal areas of Jiaozhou Bay have developed rapidly, but the region's" Agriculture, Countryside and Countryside "The specific gravity is still relatively large, climate change and extreme weather events, especially drought become one of the important challenges and threats to the agricultural ecosystem in Jiaozhou Bay area. The research chooses the agricultural ecosystem in Jiaozhou Bay as the research object, considering the interaction of human society and natural ecological environment, and from the three aspects of the exposure degree, sensitivity and adaptability of agricultural ecosystem in Jiaozhou Bay area to climate change. The paper constructs the index system of vulnerability of agricultural ecosystem in Jiaozhou Bay region to climate change, comprehensively evaluates the vulnerability of agricultural ecosystem to climate change in Jiaozhou Bay, and recognizes the spatial and temporal change of climate vulnerability of agricultural ecosystem in coastal zone. To mitigate the adverse effects of climate change on agricultural production in coastal zone, practical adaptation measures are developed to guarantee the healthy development of social and economic development in coastal zone. In this study, we selected 14 indicators related to climate, agricultural production, economy, society and population in Jiaozhou Bay, and established an index system for evaluating the vulnerability of agricultural ecosystem to climate change in Jiaozhou Bay. The future social, economic, demographic and cultivated land change scenarios of the region are constructed, and the future climate change prediction of the region is estimated by combining the regional climate model, and the basic data dimensionless classification processing is carried out by using the natural segmentation method in the Arc-GIS. In the last 30 years (1981 ~ 2010) and the next 30 years (2021 ~ 2050), the climate vulnerability of the agricultural ecosystem in Jiaozhou Bay was evaluated by using the weighted comprehensive evaluation method. The spatial distribution and its characteristics of the vulnerability of agricultural ecosystems to climate change in the past and in the future are analyzed. The main conclusions are as follows: (1) The degree of exposure of agricultural ecosystem to climate change in Jiaozhou Bay area in the last 30 years is generally high in the middle part of the space distribution, and the exposure degree of two sides is low; the highest sensitivity is Pingdu City, and the lowest sensitivity is the downtown of Qingdao; The most adaptive is Qingdao, while the adaptability of the city is the worst. In the past 30 years, the vulnerability of agricultural ecosystem to climate change in Jiaozhou Bay area is generally northwest high in spatial distribution and low in southeast coastal area. The high value area of vulnerability lies in the north-west boundary of Pingdu City, and the low-value area is located at the southwest end of Jiaozhou District, Huangdao District and Shibei District of Qingdao, namely, the east end of Mo. (2) The exposure of agricultural ecosystem to climate change in Jiaozhou Bay area in the future gradually decreases in the east (3) north to southwest in the spatial distribution, and the high value center of exposure is located in Pingdu City, Laxi city and low value center; The sensitivity of agricultural ecosystem to climate change in Jiaozhou Bay area is generally low and sensitive to climate change, which is located in Pingdu City, and the sensitivity of Qingdao and Jiaozhou District is low. The agricultural ecosystem in Jiaozhou Bay is the most adaptive to climate change. The vulnerability of agricultural ecosystem to climate change in Jiaozhou Bay area in the future is generally high in the north-east and low in the southwest. The high value center of vulnerability lies in Leixi City, and the low value area is distributed in Qingdao, the southwest of Jiaozhou District and the northern part of Pingdu City respectively. (4) The exposure of agricultural ecosystems to climate change will be increased in the future in the future, and the spatial distribution of adaptive capacity will change significantly due to the effects of climate change. Among them, the influence of the exposure degree is the spatial distribution of the water thermal comprehensive index, and the main reason for the change of the adaptive capacity is the change of the farmer's net income. The vulnerability of agricultural ecosystems to climate change will be increased in the future, while the vulnerability of agricultural ecosystems to climate change in Pingdu is reduced. (4) To compare the spatial and temporal changes of the vulnerability of agricultural ecosystem to climate change in Jiaozhou Bay, and find that in the future, Leixi City will be the most vulnerable region of Jiaozhou Bay, and it is expected that the government can focus on the agricultural development of Laxi city. Special attention is paid to ensuring the use of irrigation water in the city, improving water utilization efficiency and mitigating the adverse effects of drought on agricultural ecosystems.
【学位授予单位】:安徽农业大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:S181
【相似文献】
相关期刊论文 前10条
1 章家恩,骆世明;农业生态系统模式研究的几个基本问题探讨[J];热带地理;2000年02期
2 章家恩,骆世明;农业生态系统模式的优化设计探讨[J];热带地理;2001年01期
3 王建林,胡单;农业生态系统能量最优增长单部门模型的建立与影响参数分析[J];系统工程理论方法应用;2003年04期
4 ;我国将加快打造农业生态系统[J];中国乡镇企业;2004年03期
5 徐效俊;农业结构调整与技术推广对农业生态系统的影响[J];农业环境与发展;2005年01期
6 王东阳;;我国农业生态系统的现状、功能与可持续发展分析[J];中国农业资源与区划;2006年02期
7 李桂珠;许运新;侯玉兵;;吉林省农业生态系统发展研究[J];农业科技管理;2006年03期
8 林文谋;;我国农业生态系统的演进特点与发展策略[J];现代农业科技;2008年08期
9 李典友;;蚯蚓在农业生态系统中的应用[J];农技服务;2008年05期
10 戴桂金;杨知建;肖润林;;农业生态系统温室气体排放研究进展[J];作物研究;2011年02期
相关会议论文 前10条
1 沈佐锐;;农业生态系统与人类健康[A];生态健康与科学发展观——首届中国生态健康论坛文集[C];2004年
2 欧一智;黄国勤;;江西农业生态系统可持续发展定量评价[A];华东地区农学会学术年会暨福建省科协第七届学术年会农业分会场论文集[C];2007年
3 黄国勤;;气候变化对农业生态系统的影响及对策[A];“促进中部地区崛起”气象论坛优秀论文汇编[C];2007年
4 朱玉林;李明杰;;湖南洞庭湖平原区农业生态系统绿色GDP核算与比较[A];2011洞庭湖发展论坛文集[C];2011年
5 朱玉林;李明杰;;基于能值理论的环洞庭湖区农业生态系统绿色GDP核算研究[A];2011洞庭湖发展论坛文集[C];2011年
6 王东阳;;我国农业生态系统可持续发展与系统工程管理[A];高科技产业的系统工程管理论文集[C];2003年
7 郭选政;张江玲;;新疆草地农业生态系统与环境建设初探[A];生态学与全面·协调·可持续发展——中国生态学会第七届全国会员代表大会论文摘要荟萃[C];2004年
8 宇万太;张璐;沈善敏;;下辽河平原农业生态系统磷和氮在饲养-堆腐环中的循环率及作物产量增益[A];氮素循环与农业和环境学术研讨会论文(摘要)集[C];2001年
9 唐建军;陈欣;;浅论农业生态系统中生物多样性的综合管理[A];管理科学与系统科学研究新进展——第6届全国青年管理科学与系统科学学术会议暨中国科协第4届青年学术年会卫星会议论文集[C];2001年
10 高志康;;淮河淮南段区域生态规划中的农业生态系统研究[A];新世纪 新机遇 新挑战——知识创新和高新技术产业发展(下册)[C];2001年
相关重要报纸文章 前10条
1 江苏丘陵地区镇江农科所 赵亚夫;传统农业生态系统[N];江苏农业科技报;2009年
2 江苏丘陵地区镇江农科所 赵亚夫;农业生态系统[N];江苏农业科技报;2009年
3 记者 赵朔 通讯员 田展;中国农业生态系统承载力研究启动[N];中国气象报;2010年
4 卢春桃;大丰农业生态系统不断优化[N];经济消息报;2000年
5 郑文钵;稻鸭共作一种新型的农业生态系统[N];北京科技报;2001年
6 王海容;如何打造我国的农业生态系统[N];经济日报;2004年
7 本报记者 苏玉君 孔岩 曹颖 通讯员 麻碧华 汪玲玲;江浙传统农业的生态智慧[N];中国气象报;2013年
8 王硕;适度合理利用是保持草地健康的重要手段[N];中国畜牧兽医报;2013年
9 李洁尉;“两院“一成果被国际组织采纳[N];广东科技报;2000年
10 特约记者 柏斌;中德专家研讨中国生存景观[N];中国花卉报;2010年
相关博士学位论文 前6条
1 温和;黑龙江省村域农业生态系统碳平衡及低碳农业对策研究[D];东北农业大学;2011年
2 刘玉振;农业生态系统能值分析与模式构建[D];河南大学;2007年
3 朱玉林;基于能值的湖南农业生态系统可持续发展研究[D];中南林业科技大学;2010年
4 马晓勇;基于GIS的黄土高原县域农业生态系统可持续发展研究[D];山西大学;2011年
5 陈玉香;东北农牧交错带玉米生产与利用及农业生态系统优化生产模式[D];东北师范大学;2002年
6 王艳;中国温室农业生态系统碳平衡研究[D];浙江大学;2010年
相关硕士学位论文 前10条
1 康童茜;气候变化背景下胶州湾地区农业生态系统的脆弱性研究[D];安徽农业大学;2015年
2 李国军;吉林省中部城郊型农业生态系统磷素循环模式的研究[D];吉林农业大学;2008年
3 李宏;临洮县农业生态系统能流分析[D];甘肃农业大学;2002年
4 颉鹏;凉州区农业生态系统可持续性动态演化研究[D];甘肃农业大学;2003年
5 徐志宇;中国南方红壤经济发达区农业生态系统可持续发展研究[D];南京农业大学;2003年
6 秦春秀;农业生态系统与农产品质量生态系统关系的研究[D];华南热带农业大学;2007年
7 裴雪;基于能值分析的哈尔滨农业生态系统评价[D];东北农业大学;2013年
8 邱翠华;基于能值分析的黄河下游平原农业生态系统可持续发展研究[D];河南大学;2013年
9 熊林金;宁乡县农业生态系统能值分析与模式构建[D];湖南农业大学;2013年
10 李先鑫;新疆农业生态系统能值分析[D];新疆大学;2015年
,本文编号:2283484
本文链接:https://www.wllwen.com/kejilunwen/nykj/2283484.html