Relating spatial pattern of forest cover to accessibility
Relating spatial pattern of forest cover to accessibility
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DOI：
10.1016/j.landurbplan.2006.04.007
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发表时间：
2007-03-28
影响因子：
9.1
通讯作者：
Van Herzele, Ann
中科院分区：
文献类型：
--
作者：
De Clercq, Eva M.;De Wulf, Robert;Van Herzele, Ann
优化提供休闲森林的城市规划不仅涉及需要多少空间，还涉及如何在景观中进行安排，以使许多潜在游客可以进入这些森林。本研究试图建立森林覆盖的空间格局与这些森林的短途步行可达性（步行或骑自行车）之间的关系。使用景观结构指标以实验方式解决了这个问题。因子分析确定了空间格局的共同轴。前五个因素解释了原始数据集82.2%的变异。第一个因素与森林面积和森林斑块数量有关，第二个因素与形状复杂性有关。第三个因素量化了连续性，第四个因素衡量了森林的丛集程度。第五是森林形状的变化。只有与森林面积、森林形状复杂性和丛集相关的因素才显示出与休闲设施的显着相关性。因此，更高的森林覆盖率和更多的森林应该会为短途步行旅行带来更多的供给。然而，当造林预算较小时，应优先考虑形状复杂性高、森林连续性低和景观形状指数（LSI）高的情况。形状指数对于挑选出为大量人提供娱乐可能性的模式做出了最重要的贡献。研究结果显示了使用景观结构指标对森林休闲设施进行建模的潜力。 (c) 2006 Elsevier B.V. 保留所有权利。
Urban planning for optimal provision of recreational forests is not only concerned with how much space is needed, but equally with how this could be arranged in the landscape in order to make these forests accessible to many potential visitors. The present study sought to establish relationships between the spatial pattern of forest cover and these forests' accessibility - either on foot or by bike - for short walks. This question was approached in an experimental way using landscape structure metrics.A factor analysis identified the common axes of spatial pattern. The first five factors explained 82.2% of the variation of the original data set. The first factor is related to forested area and number of forest patches, the second is related to shape complexity. The third factor quantifies contiguity, and the fourth measures the clumpiness of forests. The fifth refers to variability in forest shape. Only the factors related to forested area, forest shape complexity and clumpiness, show a significant correlation with recreational provision. A higher forest coverage and more forests should thus lead to a higher provision for short walking trips. However, when a small afforestation budget is available, high shape complexity, low forest contiguity and a high landscape shape index (LSI) should take priority. Shape indices make the most important contribution to single out patterns that offer recreation possibilities to a high number of people. The findings show the potential of using landscape structure metrics for the modelling of forest recreational provision. (c) 2006 Elsevier B.V. All rights reserved.