Arid
DOI10.1016/j.geoderma.2016.09.011
Using spatial data mining to analyze area-diversity patterns among soil, vegetation, and climate: A case study from Almeria, Spain
Feoli, Enrico1; Perez-Gomez, Rufino2; Oyonarte, Cecilio3; Ibanez, Juan J.4
通讯作者Oyonarte, Cecilio
会议名称8th International PEDOFRACT Workshop
会议日期JUN 16-19, 2015
会议地点A Coruna, SPAIN
英文摘要

Area-pedodiversity, area-vegetation diversity, area-bioclimatic belts, diversity and pedodiversity-vegetation diversity-bioclimatic diversity relationships were analyzed for the most arid region of Western Europe (SE Spain). The study is novel in that it analyzed these relationships using as operational geographic units (OGU5) the set of polygons belonging to the same character state (i.e., typology) that defines a zone in a given thematic map. We considered three thematic maps: 1) the map of soil associations (SMU) with 303 different soil associations (i.e., 303 areas or zones); 2) the map of potential vegetation (PNV) with 40 vegetation series or zones and 3) the map of bioclimatic belts (BB) with 7 bioclimatic zones. Using GIS tools, we analyzed the contents (richness) of soil mapping units (polygons) with regard to vegetation series and bioclimatic belts as well as the contents of vegetation series and bioclimatic belts with regard to SMU. The results indicate that the relationships between the area and the richness of zones follow a power law, the "fingerprint of fractal geometry", irrespective of the way the area has been defined and their relative magnitude (the areas defined by SMU are the smallest, while the areas defined by bioclimatic belts are the largest). The results also indicate a significant correlation between the alpha diversities of the zones and between their beta diversities. We conclude that the methods used to measure such correlations, based on alpha and beta diversities are useful to investigate and quantify the relationships between the pedosphere, vegetation and climate. (C) 2016 Elsevier B.V. All rights reserved.


英文关键词alpha and beta diversity Pedodiversity Vegetation diversity Taxa-area relationships Power laws Scale invariance
来源出版物GEODERMA
ISSN0016-7061
EISSN1872-6259
出版年2017
卷号287
页码164-169
出版者ELSEVIER SCIENCE BV
类型Article;Proceedings Paper
语种英语
国家Italy;Spain
收录类别SCI-E ; CPCI-S
WOS记录号WOS:000390632000017
WOS关键词SIMILARITY THEORY ; COMMUNITY ; ABUNDANCE ; ECOLOGY ; SYSTEMS
WOS类目Soil Science
WOS研究方向Agriculture
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/306391
作者单位1.Univ Trieste, Dept Life Sci, Via Giorgieri 10, I-34127 Trieste, Italy;
2.Univ Politecn Madrid, ETSI Topog Geodesia & Cartog UPM, Ctra Valencia Km 7, Madrid 28031, Spain;
3.Univ Almeria, Dept Agron, CITE IIB, E-04120 La Canada De San Urbano, Spain;
4.CSIC, Natl Museum Nat Hist Spain, Serrano 115 Dpdo, Madrid 28006, Spain
推荐引用方式
GB/T 7714
Feoli, Enrico,Perez-Gomez, Rufino,Oyonarte, Cecilio,et al. Using spatial data mining to analyze area-diversity patterns among soil, vegetation, and climate: A case study from Almeria, Spain[C]:ELSEVIER SCIENCE BV,2017:164-169.
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