Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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 |
ISSN | 0016-7061 |
EISSN | 1872-6259 |
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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