基于GIS的縣域耕地壓力時空演變與預(yù)測研究
[Abstract]:Cultivated land is a precious natural resource and plays an important role in ensuring national food security and sustainable and healthy economic and social development. With the continuous promotion of urbanization and industrialization, the limited cultivated land has been occupied by a large number, and the number of cultivated land has decreased sharply. At the end of 2014, 47% of the counties had less than 0.053 hm2 per capita cultivated land. Under the background of "synchronization of the five modernizations" and "food and food, and construction", cultivated land protection and food security have become the land of governments and countries at all levels. On the basis of summing up the previous research results on farmland pressure and food security, this paper uses the farmland pressure index model proposed by Professor Cai Yunlong for reference to calculate the farmland pressure index of 15 counties (districts and cities) in Deyang (Yangyang) Mianyang (Yangyang) region from 2000 to 2014. The main conclusions are as follows: (1) From the perspective of time series, from 2000 to 2014, the cultivated land of 15 counties (districts, cities) in Deyang (Yangyang) region was cultivated. By the end of 2014, seven counties (districts and cities) with the most obvious cultivated land pressure were Fucheng (K = 3.7542) Beichuan (K = 2.3237) Peiyang (K = 1.3687) Pingwu (K = 1.3078) Jiangyou (K = 1.3048). In terms of the change rate of cultivated land pressure index, Fucheng District (138.14%) Beichuan County (133.37%) Pingwu County (50.30%) Peiyang District (41.44%) Youxian District (34.28%) Jiangyou City (31.72%) Shifang City (27.66%); in eight counties (districts, cities) with no significant cultivated land pressure index, Fucheng District (138.14%) Beichuan County (50.30%) Pingwu County (41.44%) Youxian District (34.28%) Jiangyou City (31.72%) Shifang City (27.66%). The change rate of cultivated land pressure index in county is 42.32%, which is much higher than that in other seven counties where the pressure of cultivated land is not obvious. This shows that the change rate of cultivated land pressure is inconsistent with the size of cultivated land pressure. (2) From the perspective of spatial differentiation, the evolution process of cultivated land pressure index in 15 counties (districts, cities) in Deyang (Yangyang) region from 2000 to 2014 is generally county. The pressure of cultivated land in the central city and the northwest counties is more obvious. Among them, the area with higher pressure of cultivated land mainly distributes in the central area of Zhuyang, Fucheng and its northern Beichuan County, Pingwu County, Jiangyou City. Among them, 3 counties (districts and cities) with the largest change rate were Youxian (14.79%), Shifang (13.31%) and Anxian (12.04%); 27% of counties (districts and cities) were medium-speed change type; there was no medium-high-speed change type; only 13% of counties (districts and cities) were rapid change type. The number of slow change types and slow change types increased from 60% to 67%, and the number of new Jiangyou City and Luojiang County increased from 60% to 67%. There was no medium-high speed change type; the rapid change type area remained unchanged. (3) From the track of gravity center movement, the gravity center of cultivated land pressure in 15 counties (districts and cities) in Deyang (Yangyang) area from 2000 to 2014 existed from southeast to Luojiang County. The trend of the northwest counties moving year by year indicates that the pressure of cultivated land in the northwest counties is more obvious year by year; from the analysis of the longitude and latitude coordinate change distance, the latitude moving distance is greater than the longitude moving distance, which indicates that within the study area, the pressure of cultivated land varies greatly between the counties moving north and south, and the cultivated land pressure varies spatially. (4) According to the analysis of the forecasting results, the cultivated land pressure of 15 counties (districts, cities) will increase obviously in the next 10 years. The cultivated land pressure of hilly areas in southeastern China will decrease. In particular, the change trend can be divided into four types: sharp rise, slow rise, basic stability and basic stability. (5) According to the analysis of cultivated land protection model, based on the comprehensive analysis of forecasting results, and combined with the differences of resource endowment in each county, the pressure of cultivated land in the county is divided into four types, which are "excellent cultivation and stable benefit" model, "re-tapping potential, high warning" model, "optimizing cultivated land productivity" model and "moderate economy". The "Ji" model is expected to provide certain decision-making reference for different counties to formulate specific cultivated land protection policies in the future.
【學(xué)位授予單位】:四川師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:K901
【參考文獻】
相關(guān)期刊論文 前10條
1 曾雨晴;潘洪義;周介銘;;基于灰色馬爾科夫模型的四川省耕地面積及耕地壓力指數(shù)的分析與預(yù)測[J];江蘇農(nóng)業(yè)科學(xué);2016年09期
2 ;四川礦產(chǎn)資源新增儲量實現(xiàn)重大突破[J];中國有色建設(shè);2016年02期
3 盧潤開;鄭榮寶;陳軍;陳美招;;1995—2015年中國耕地安全預(yù)警研究進展與趨勢——基于可視化工具分析[J];湖北大學(xué)學(xué)報(自然科學(xué)版);2016年04期
4 宋永永;米文寶;仲俊濤;張娟娟;楊麗娜;;寧夏耕地集約利用的時空格局演化[J];經(jīng)濟地理;2015年09期
5 曾雨晴;潘洪義;周介銘;馬偉龍;;基于空間自相關(guān)的人均耕地面積時空格局變化研究——以四川省為例[J];江蘇農(nóng)業(yè)科學(xué);2015年09期
6 陳肖飛;姚士謀;張落成;;1990年以來長江三角洲耕地資源變化及驅(qū)動因子研究[J];長江流域資源與環(huán)境;2015年09期
7 曾雨晴;馬偉龍;;四川省市域人均耕地面積空間自相關(guān)分析[J];綿陽師范學(xué)院學(xué)報;2015年08期
8 馬偉龍;毛衛(wèi)林;曾雨晴;;瀘縣節(jié)水農(nóng)業(yè)發(fā)展?jié)摿Ψ治鯷J];晉城職業(yè)技術(shù)學(xué)院學(xué)報;2015年04期
9 夏淼;李雙奎;張越;吳清韶;;糧食安全下的河南省耕地壓力預(yù)測分析[J];中國農(nóng)學(xué)通報;2014年34期
10 張孝宇;謝新朋;張安錄;;武漢市耕地非農(nóng)化的空間非均衡發(fā)展與空間擴散路徑分析[J];自然資源學(xué)報;2014年10期
相關(guān)博士學(xué)位論文 前1條
1 宿勝;土地整理項目的經(jīng)濟學(xué)分析[D];山東農(nóng)業(yè)大學(xué);2010年
相關(guān)碩士學(xué)位論文 前7條
1 陶曉明;耕地集約利用時空格局演變特征及障礙機制研究[D];四川師范大學(xué);2016年
2 胡源;武漢市耕地資源安全評價研究[D];華中農(nóng)業(yè)大學(xué);2014年
3 劉文;基于耕地壓力指數(shù)的湖南省糧食安全評價[D];湖南農(nóng)業(yè)大學(xué);2014年
4 姚建;昆明市耕地壓力評價與分析[D];云南農(nóng)業(yè)大學(xué);2013年
5 李嚴;云南省縣域1996-2008耕地面積變化的時空特性及其自相關(guān)分析[D];昆明理工大學(xué);2011年
6 楊小愛;焦作市耕地壓力評價及預(yù)測[D];河南理工大學(xué);2011年
7 王俊;非洲土地利用與農(nóng)業(yè)發(fā)展研究[D];浙江師范大學(xué);2009年
,本文編號:2250108
本文鏈接:http://sikaile.net/shekelunwen/renwendili/2250108.html