Reconstruction of Agriculture-Driven Deforestation in Western Hunan Province of China during the 18th Century

Reconstruction of Agriculture-Driven Deforestation in Western Hunan Province of China during the 18th Century
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18 世纪中国湘西农业毁林的重建

DOI:
10.3390/land11020181
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发表时间:
2022-01
期刊:
影响因子:
3.9
通讯作者:
Liu Yachen
Liu Yachen
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Li Yikai;Ye Yu;Fang Xiuqi;Liu Yachen

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重建历史上的森林砍伐有助于了解森林覆盖变化的动态,并为进一步研究长期的人与自然相互作用提供基础。18世纪世纪,由于社会文化转型,中国出现了严重的农业驱动型森林砍伐。为了理解世纪的森林砍伐,我们以湘西典型县为个案研究区域,重建了聚落的扩张和密集,作为社会文化因素的指标。然后,我们重建了农业用地扩张和农业驱动的森林砍伐的基础上,这些定居点。结果表明,从世纪早期到18世纪晚期,农业用地面积增加了40.4%,而森林面积所占比例从78.0%下降到69.1%。与此同时,18世纪世纪早期,农业毁林主要发生在东部和西部相对低海拔地区,而18世纪世纪晚期,农业毁林主要发生在中部相对高海拔地区。这项研究的结果提供了一个改进的空间分辨率重建的历史土地利用/覆盖变化,从而使人们能够从更详细的时空格局的历史毁林趋势。本研究通过一个区域的案例研究,有助于在更大的时空尺度上理解人类活动引起的土地覆盖变化。
Reconstruction of historical deforestation helps to understand the dynamics of forest cover change and provides a basis for the further study of human-nature interactions over the long term. Significant agriculture-driven deforestation occurred in the 18th century in China due to its socio-cultural transformation. To understand this deforestation during the 18th century, we took typical counties in western Hunan as a case study area and reconstructed the settlements’ expansion and densification as indicators of socio-cultural factors. We then reconstructed the agricultural land expansion and agriculture-driven deforestation based on these settlements. The results showed that the agricultural land area increased by 40.4% from the early to the late 18th century, while the proportion of forest area covering the region decreased from 78.0% to 69.1%. Meanwhile, agriculture-driven deforestation mainly unfolded in the eastern and western parts of the region at relatively low elevation in the early 18th century, and this mainly happened in the middle of the region lying at relatively high elevation in the late 18th century. This study’s results provide an improved spatial resolution for the reconstruction of historical land use/cover change, thus enabling insights to be gained from a more detailed spatiotemporal pattern of historical deforestation trends. This study helps to understand the anthropogenic land cover change on a larger spatiotemporal scale through a regional case study.
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