Q4 Agricultural and Biological Sciences
Merit Mandel, Siim Maasikamäe, Mait Lang
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引用次数: 1

摘要

十多年来,土地遗弃研究已经引起了科学家们的关注。在世界人口不断增长和保护环境的压力下,仍有一些地区被遗弃。土地弃置在爱沙尼亚也时有发生。研究的目的是评估耕地地块特征对耕地撂荒概率的影响。利用耕地样地上灌木的发生情况作为耕地样地部分区域被撂荒的指标。利用地块面积、密实度、土壤生产力、改良土地比例、土地粗糙度和与不同目标的距离来描述耕地地块。研究地区包括爱沙尼亚的塔尔图县,并以爱沙尼亚国家地形数据库矢量数据和爱沙尼亚土地委员会提供的土地覆盖高度模型栅格数据相结合为基础。研究期间从2011年到2017年,包括6604个农业地块。将样地分为两组(无灌木林和有灌木林),计算各组可耕地样地特征指标的平均值。二项逻辑回归分析还用于评估地块被放弃的可能性(概率)。研究结果表明,耕地地块特征对耕地撂荒发生的概率有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Haritava maa mahajätmine Tartu maakonnas
Land abandonment studies have drawn scientists’ attention for more than a decade. Under the conditions of a growing world population and pressure to preserve the environment, there are still areas which are abandoned. Land abandonment occurs also in Estonia. The aim of the study is to assess the impact of the arable land plot features on the probability that land abandonment will occur on those plots. The occurrence of the brushwood on the arable land plots was used as the indicator that some areas of those plots are abandoned. The area of the plot, compactness, soil productivity, ratio of ameliorated land, roughness of land and the distance to the different objects were used for the description of the arable land plots. The study area covered Tartu County in Estonia and was based on the combination of the Estonian National Topographic Database vector data and land cover height model raster data provided by the Estonian Land Board. The study period covered the timeframe from 2011 to 2017 and consisted of 6,604 agricultural plots. The plots were divided into two groups (without and with brushwood) and the mean values of the indicators describing the features of the arable land plots were calculated for the groups. The binominal logistic regression analysis was also used to assess the potential (probability) of plots to be abandoned. Results of the study showed that the features of the arable land plots have an impact on the probability that land abandonment will occur on those plots.
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来源期刊
Forestry Studies
Forestry Studies Agricultural and Biological Sciences-Forestry
CiteScore
0.70
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