Tomaselli V, Veronico G, Sciandrello S, Blonda P
National Research Council (CNR), Institute of Biosciences and BioResources (IBBR), Via Amendola 165/A, 70126, Bari, Italy.
Department of Biological, Geological and Environmental Sciences, University of Catania, Via A. Longo 18, 95125, Catania, Italy.
Environ Monit Assess. 2016 Jun;188(6):356. doi: 10.1007/s10661-016-5352-x. Epub 2016 May 18.
It is widely known that thematic resolution affects spatial pattern and landscape metrics performances. In literature, data dealing with this issue usually refer to a specific class scheme with its thematic levels. In this paper, the effects of different land cover (LC) and habitat classification schemes on the spatial pattern of a coastal landscape were compared. One of the largest components of the Mediterranean wetland system was considered as the study site, and different schemes widely used in the EU were selected and harmonized with a common thematic resolution, suitable for habitat discrimination and monitoring. For each scheme, a thematic map was produced and, for each map, 28 landscape metrics were calculated. The landscape composition, already in terms of number of classes, class area, and number of patches, changes significantly among different classification schemes. Landscape complexity varies according to the class scheme considered and its underlying semantics, depending on how the different types aggregate or split when changing class scheme. Results confirm that the selection of a specific class scheme affects the spatial pattern of the derived landscapes and consequently the landscape metrics, especially at class level. Moreover, among the classification schemes considered, EUNIS seems to be the best choice for a comprehensive representation of both natural and anthropogenic classes.
众所周知,专题分辨率会影响空间格局和景观指标的表现。在文献中,处理此问题的数据通常指具有其专题层次的特定分类方案。本文比较了不同土地覆盖(LC)和栖息地分类方案对沿海景观空间格局的影响。地中海湿地系统最大的组成部分之一被视为研究地点,并选择了欧盟广泛使用的不同方案,并使其与适合栖息地识别和监测的共同专题分辨率保持一致。对于每个方案,制作了一幅专题地图,并为每张地图计算了28个景观指标。就类别数量、类别面积和斑块数量而言,景观组成在不同分类方案之间有显著变化。景观复杂性根据所考虑的分类方案及其潜在语义而变化,这取决于在改变分类方案时不同类型如何聚合或分割。结果证实,特定分类方案的选择会影响派生景观的空间格局,进而影响景观指标,尤其是在类别层面。此外,在所考虑的分类方案中,EUNIS似乎是全面呈现自然和人为类别的最佳选择。