發(fā)布時(shí)間：2018-05-19 02:11

  本文選題：景觀格局 + 景觀指數(shù)��； 參考：《成都理工大學(xué)》2017年碩士論文

【摘要】：景觀格局受自然因素和社會(huì)、經(jīng)濟(jì)、人口等因素的影響,能夠直觀地反映一個(gè)地區(qū)的社會(huì)經(jīng)濟(jì)發(fā)展情況,具有較為明顯的地域性與綜合性。景觀格局變化是引起全球生態(tài)環(huán)境變化的主要原因之一,因此,景觀格局的演變研究已經(jīng)成為國(guó)內(nèi)外當(dāng)前的研究熱點(diǎn)�，F(xiàn)有階段景觀格局的研究重點(diǎn)主要集中在在景觀類型分類、動(dòng)態(tài)監(jiān)測(cè)以及環(huán)境影響評(píng)價(jià)等方面,對(duì)引起變化的驅(qū)動(dòng)因子和空間演變模擬預(yù)測(cè)的研究也正在展開。3S技術(shù)在這一方面的應(yīng)用還處于探索階段,特別是針對(duì)縣域尺度的研究還較少,因此這也是本文嘗試探索研究的重點(diǎn)內(nèi)容之一。本文選取土地利用變化明顯的貴州省黔西縣作為研究對(duì)象,對(duì)其景觀格局的時(shí)空關(guān)系以及驅(qū)動(dòng)因子進(jìn)行系統(tǒng)研究,旨在發(fā)掘黔西縣景觀的特征和價(jià)值,探討景觀格局演變軌跡,為黔西縣城鄉(xiāng)統(tǒng)籌發(fā)展、土地集約利、城鎮(zhèn)體系規(guī)劃、城鎮(zhèn)空間整合等方面提供一定的參考依據(jù)。文章基于多源遙感,利用GIS技術(shù)建立了研究區(qū)1995年、2001年、2007年和2013年景觀格局現(xiàn)狀的空間數(shù)據(jù)庫(kù),結(jié)合GIS強(qiáng)大的分析功能,選擇景觀格局分析軟件Fragstats和CA-Markov模型,對(duì)研究區(qū)的景觀格局、空間動(dòng)態(tài)變化以及演變趨勢(shì)進(jìn)行了分析。研究結(jié)果如下:(1)在類型水平方面,研究區(qū)的景觀格局在1995年至2013年期間變化較大,尤其是耕地、建設(shè)用地和水體面積變化顯著。引起格局變化的原因除了自然因素外,還包括人口因素、經(jīng)濟(jì)因素、工業(yè)化和城鎮(zhèn)化,以及政策因素等;(2)在景觀水平方面,雖然研究區(qū)內(nèi)各景觀類型的比例發(fā)生變化,但沒有因?yàn)樽兓�而�?dǎo)致某一類型的缺失,維持了較好的多樣性;(3)在預(yù)測(cè)模擬方面,利用2007年和2013年景觀轉(zhuǎn)移矩陣和適宜性圖集,模擬預(yù)測(cè)了2019年黔西縣的景觀格局,模擬發(fā)現(xiàn),研究區(qū)城鎮(zhèn)建設(shè)用地今后將朝南向發(fā)展,耕地面積減少,林地和草地面積將增多。
[Abstract]:The landscape pattern, influenced by natural factors and social, economic and demographic factors, can directly reflect the social and economic development of a region, which has more obvious regionalism and comprehensiveness. The change of landscape pattern is one of the main reasons for the change of the global ecological environment. Therefore, the study of landscape pattern evolution has become a domestic one. The focus of the current research on landscape pattern is mainly focused on the classification of landscape types, dynamic monitoring and environmental impact assessment. The research on the driving factors causing change and the simulation prediction of spatial evolution is also being carried out in the exploration stage of the application of.3S technology in this aspect, especially for the purpose of the research. The study of county scale is still less, so this is one of the key contents of this article. This paper selects Qianxi County, Guizhou Province, which has obvious change in land use change as the research object, and systematically studies the spatio-temporal relationship and driving factors of its landscape pattern, aiming at exploring the features and values of the landscape of Qianxi county and exploring the landscape grid. The evolution path of the bureau provides a certain reference for the overall development of urban and rural areas in Qianxi County, the land collection, the urban system planning and the urban space integration. Based on the multi source remote sensing, the paper uses the GIS technology to establish the spatial database of the landscape pattern in 1995, 2001, 2007 and 2013, combining with the powerful analysis function of the GIS. Landscape pattern analysis software Fragstats and CA-Markov model are selected to analyze the landscape pattern, spatial dynamic change and evolution trend of the study area. The results are as follows: (1) in the type level, the landscape pattern of the study area varies greatly from 1995 to 2013, especially in cultivated land, and the area of construction land and water body changes significantly. In addition to natural factors, the changes in the pattern include population factors, economic factors, industrialization and urbanization, and policy factors, etc. (2) in the landscape level, although the proportion of the landscape types in the study area has changed, it does not lead to a certain type of loss because of the change; (3) it is in advance. In the field of measurement and simulation, the landscape pattern of Qianxi County in 2019 was simulated and predicted by using the landscape transfer matrix in 2007 and 2013 and the suitability atlas. The simulation found that the urban construction land in the study area will develop southward in the future, the area of cultivated land is reduced, and the area of woodland and grassland will increase.
【學(xué)位授予單位】：成都理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：P901;P237;P208

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本文編號(hào)：1908239