کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6458276 1421029 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Changes in arable land in response to township urbanization in a Chinese low hilly region: Scale effects and spatial interactions
ترجمه فارسی عنوان
تغییرات در زمین های زراعی در پاسخ به شهرنشینی شهرها در ناحیه پایین تپه چینی: اثرات مقیاس و تعاملات فضایی
کلمات کلیدی
تغییر زمین های زراعی، اثر مقیاس، اثر محصور، مقیاس زباله، مدل رگرسیون فضایی،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک جنگلداری
چکیده انگلیسی


- The significance and robustness of arable land change response to township urbanization was analyzed.
- These relationships exhibited obvious scale effects and strong neighborhood effects on nearby regions.
- Multi-scale comparisons are helpful for preserving arable land.

Rapid urbanization leads to losses in arable land; quantitatively analyzing the impact of urbanization on arable land is significant for arable land management. However, changes in arable land due to urbanization with scale and neighborhood effects remains poorly understood at the town scale. In this study, high-resolution historical land use data, landscape metric analysis and spatial regression were integrated to quantify the impacts of urbanization on arable land use change (abandonment and conversion) at spatial scales of 300 m-3300 m using a block size increment of 200 m and at the catchment scale in the town of Jinjing in subtropical central China. Arable land abandonment was the predominant type of arable land change and presented strong spatial autocorrelations at each spatial scale. Arable land was converted to tea fields because agricultural structure transformations were occurring around the urban cores, and the amount of arable land converted to residential land accounted for only a small proportion of the total arable land loss and had no spatial autocorrelation. The significance and robustness of the arable land changes impacted by urbanization had obvious scale effects and strong neighborhood effects in nearby regions. Compared with block scales, the catchment scale is an optimal scale for assessing the influence of urbanization and applying planning policy. Our results highlight the significance of incorporating spatial interactions in urbanization research, which can generate less biased estimations and consequently lead to proper policy implication and recommendations. In addition, multi-scale comparisons are helpful for better understanding the relationships between arable land changes and urbanization and provide further insights into the harmonious development of rural settlements and urban cores to preserve arable land.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Geography - Volume 88, November 2017, Pages 24-37
نویسندگان
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