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Possibilities of land use change analysis in a mountainous rural area: a methodological approach

机译:山区农村土地利用变化分析的可能性:一种方法学方法

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Decreasing population density is a current trend in the European Union, and causes a lower environmental impact on the landscape. However, besides the desirable effect on the regeneration processes of semi-natural forest ecosystems, the lack of traditional management techniques can also lead to detrimental ecological processes. In this study we investigated the land use pattern changes in a micro-region (in North-Eastern Hungary) between 1952 and 2005, based on vectorised land use data from archive aerial photos. We also evaluated the methodology of comparisons using GIS methods, fuzzy sets and landscape metrics. We found that both GIS methods and statistical analysis of landscape metrics resulted in more or less the same findings. Differences were not as relevant as was expected considering the general tendencies of the past 60years in Hungary. The change in the annual rate of forest recovery was 0.12%; settlements extended their area by an annual rate of 3.04%, while grasslands and arable lands had a net loss in their area within the studied period (0.60% and 0.89%, respectively). The kappa index showed a smaller similarity (similar to 60%) between these dates but the fuzzy kappa and the aggregation index, taking into account both spatial and thematic errors, gave a more reliable result (similar to 70-80% similarity). Landscape metrics on patch and class level ensured the possibility of a detailed analysis. We arrived at a similar outcome but were able to verify all the calculations through statistical tests. With this approach we were able to reveal significant (p<0.05) changes; however, effect sizes did not show large magnitudes. Comparing the methods of revealing landscape change, the approach of landscape metrics was the most effective approach, as it was independent of spatial errors and ensuring a multiple way of interpretation.
机译:人口密度的下降是欧盟当前的趋势,并且对景观的环境影响较小。然而,除了对半天然森林生态系统的再生过程产生理想的影响外,缺乏传统的管理技术也可能导致有害的生态过程。在这项研究中,我们根据档案航拍照片中的矢量化土地利用数据,调查了1952年至2005年之间某个小区域(匈牙利东北部)的土地利用方式变化。我们还评估了使用GIS方法,模糊集和景观指标进行比较的方法。我们发现,无论是GIS方法还是景观指标的统计分析都或多或少产生了相同的发现。考虑到匈牙利过去60年的总体趋势,差异并不像预期的那样重要。森林年恢复率的变化为0.12%;定居点的面积以每年3.04%的速度扩展,而草地和耕地在研究期内的面积却净减少(分别为0.60%和0.89%)。这些日期之间的kappa指数显示出较小的相似度(接近60%),但考虑到空间和主题误差,模糊kappa和聚合指数给出了更可靠的结果(相似度为70-80%)。补丁和类级别的景观指标确保了进行详细分析的可能性。我们得出了类似的结果,但能够通过统计测试验证所有计算。通过这种方法,我们能够揭示出显着(p <0.05)的变化。但是,效果大小没有显示出很大的幅度。比较揭示景观变化的方法,景观度量方法是最有效的方法,因为它独立于空间误差并确保了多种解释方式。

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