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| 基于移动窗口法的半干旱生态脆弱区景观破碎化及驱动力分析 |
| Analysis of landscape fragmentation and driving forces in semi-arid ecologically fragile regions based on the moving window method |
| 投稿时间：2020-09-03 |
| DOI：10.13254/j.jare.2020.0490 |
| 中文关键词: 半干旱生态脆弱区，移动窗口法，样线法，灰色关联分析，景观破碎化 |
| 英文关键词: semi-arid ecologically fragile area, moving window method, transect method, gray relation analysis, landscape fragmentation |
| 基金项目:国家自然科学基金项目（41977059） |
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| 摘要点击次数: 1354 |
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| 中文摘要: |
| 为探究城镇化过程中半干旱生态脆弱区景观破碎化加剧的问题，以甘肃省广河县2011—2018年2期土地利用数据为基础，运用移动窗口法、样线法、灰色关联法，分析半干旱生态脆弱区的景观破碎化动态变化及其驱动机制。结果表明，2011—2018年耕地是广河县的基质景观，景观利用类型之间结构变化特征较明显。基于样线法确定最佳研究尺度为900 m，从乡镇尺度进行样带分析发现，乡镇集聚效应导致景观破碎化程度趋势表现为越靠近乡镇区域变化程度越大，而距离较远的丘陵山区则变动较小；从空间分布格局变化角度来看，景观破碎化整体上为递增趋势，其变化剧烈区集中于广通河谷与道路沿线周围乡镇，在空间上呈现带状延伸变化；广河县景观破碎化主要驱动力是政策和社会经济因素综合作用。通过灰色关联法分析发现，地区生产总值、人口数量、人均GDP总值、工业总产值和交通运输业产值等5个指标是导致景观破碎化加剧的主要驱动因子，气候因素的影响则低于社会经济因素。研究结果可为半干旱生态脆弱区生态环境保护与可持续发展提供合理依据。 |
| 英文摘要: |
| In order to explore the problem of increased landscape fragmentation in semi-arid ecologically fragile areas during the urbanization process, based on the two periods of land use data from Guanghe County, Gansu Province from 2011 to 2018, this study integrated the moving window method, transect method, and gray correlation method to analyze the dynamic changes and driving mechanisms of landscape fragmentation in semi-arid ecologically fragile areas. The results suggested that the cultivated land was the landscape matrix of Guanghe County from 2011 to 2018, and the structural changes in landscape use types were clearer. Based on the transect method, the best research scale was determined to be 900 m, which was conducted at the township scale. The transect analysis found that the clustering effect of villages and towns led to a trend of landscape fragmentation. The closer the townships, the greater the degree of regional change, whereas the hills and mountains that were farther away had less changes. From the perspective of spatial distribution pattern changes, the overall landscape fragmentation showed an increasing trend. The sharply changing areas were concentrated in the towns and villages along the Guangtong River valley and the road, and showed a belt-like extension in space. The main driving forces for the fragmentation of the landscape in Guanghe County were the combined effects of policies and socioeconomic factors. Through the gray correlation analysis, it was found that five indicators, namely the regional gross product, population, gross per capita GDP, gross industrial output value, and transportation industry, were the main driving factors leading to the deterioration of the landscape. The influence of climate factors was lower than that of social economy factors. The research results can provide a reasonable basis for ecological environmental protection and sustainable development in semi-arid ecologically fragile areas. |
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