000165805 001__ 165805
000165805 005__ 20260114135812.0
000165805 0247_ $$2doi$$a10.1016/j.ecocom.2011.02.001
000165805 0248_ $$2sideral$$a147066
000165805 037__ $$aART-2011-147066
000165805 041__ $$aeng
000165805 100__ $$aSaiz, H.
000165805 245__ $$aStructure and spatial self-organization of semi-arid communities through plant–plant co-occurrence networks
000165805 260__ $$c2011
000165805 5203_ $$aIn a variety of areas in ecology, a network approach has proven fruitful in studying the interactions among the components of systems. We propose a novel network approach for examining plant species interactions in plant communities. We constructed various networks based on the plant species found on 12 point-intercept transects in a semi arid community, developing one network for each transect. Species were identified as nodes and were considered linked if they occurred at the same intercept point. To understand the general organization of the networks, we calculated the cumulative distribution of the number of links per species in each network, the average nearest neighbour degree of each species, and the self-organization of the most-linked species. The networks behaved as mutualistic ecological systems and displayed a typical truncated power-law distribution for the cumulative distribution of the number of links per species. The results suggest that most of the species were preferentially associated with a few others. In all but one highly competitive species (Stipa tenacissima), the number of links and abundance were positively correlated. Link density was positively correlated with the spatial self-organization of the entomophyllous and facilitated species, while generalist species did not present any relation. For S. tenacissima, the link density and spatial self-organization were positively correlated, as other species were able to establish in the edge of S. tenacissima patches when it was less dominant. Our results agree with past works in networks, and it seems that in a semi-arid environment, at least, our network approach would provide additional information about the nature of interactions that each species develops in the community.
000165805 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/CGL2008-0065
000165805 540__ $$9info:eu-repo/semantics/closedAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000165805 590__ $$a1.926$$b2011
000165805 591__ $$aECOLOGY$$b63 / 133 = 0.474$$c2011$$dQ2$$eT2
000165805 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000165805 700__ $$0(orcid)0000-0002-6227-861X$$aLópez Alados, C.
000165805 773__ $$g8, 2 (2011), 184-191$$pEcol. Complex.$$tEcological Complexity$$x1476-945X
000165805 8564_ $$s332558$$uhttps://zaguan.unizar.es/record/165805/files/texto_completo.pdf$$yVersión publicada
000165805 8564_ $$s2821847$$uhttps://zaguan.unizar.es/record/165805/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000165805 909CO $$ooai:zaguan.unizar.es:165805$$particulos$$pdriver
000165805 951__ $$a2026-01-14-12:46:08
000165805 980__ $$aARTICLE