GEODIST STATA TWO DATASETS SOFTWARE
Hammer Ø, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. Exp Appl Acarol 57:157–169įujikawa T (1974) Comparison among oribatid fauna from different microhabitats in forest floors. Exp Appl Acarol 41:1–10Įrdmann G, Scheu S, Maraun M (2012) Regional factors rather than forest type drive the community structure of soil living oribatid mites (Acari, Oribatida). Ecol Model 196:483–493Įrdmann G, Otte V, Langel R, Scheu S, Maraun M (2007) The trophic structure of bark-living oribatid mite communities analysed with stable isotopes (15N 13C) indicates strong niche differentiation. For Ecol Manag 258:1331–1341ĭray S, Legendre P, Peres-Neto PR (2006) Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM). Landsc Ecol 17:637–646ĭéchêne AD, Buddle CM (2009) Effects of experimental forest harvesting on oribatid mite biodiversity. Ecol Lett 8:1175–1182Ĭushman SA, McGarigal K (2002) Hierarchical, multi-scale decomposition of species-environment relationships. Ecology 73:1045–1055Ĭottenie K (2005) Integrating environmental and spatial processes in ecological community dynamics. Ecol Model 153:51–68īorcard D, Legendre P, Drapeau P (1992) Partialling out the spatial component of ecological variation. Environ Ecol Stat 1:37–61īorcard D, Legendre P (2002) All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices. Ecol Monogr 62(4):569–591īorcard D, Legendre P (1994) Environmental control and spatial structure in ecological communities: an example using oribatid mites (Acari, Oribatei). Kobie: revista de ciencias/Grupo Espeleológico Vizcaíno 13:159–169īeare MH, Parmelee RW, Hendrix PF, Cheng WX, Coleman DC, Crossley DA (1992) Microbial and faunal interactions and effects on litter nitrogen and decomposition in agroecosystems. Although the recently studied forests apparently show the same conservational conditions as those studied in the past, they are less diverse.Īscacibar M, Iturrondobeitia JC (1983) Estudio de las poblaciones de oribátidos en tres medios urbanos de la ciudad de Bilbao: aplicación del modelo Log-lineal de Motomura. The community indices are influenced by the course of time when separate periods of time are compared. The effect of the passage of time on oribatid communities was also analyzed by comparing recent communities to those of 19–26 years ago in the same forests. Differences in community indices were detected only for species abundances, with holm oak showing the highest oribatid density and beech the lowest. By contrast, the influence of spatial distribution (geography) was not significant by itself but played an important role as a co-variable.
The local scale variable (forest type, 28 %) was about as determinant a factor as the regional scale (climatic region, 26 %), though together they accounted for just 9 %. Forest type and climatic region together (45 % of the total variability) were important factors influencing the oribatid community. Oribatid mite communities from 18 natural autochthonous forest soils in the Basque Country, belonging to five forest types, distributed along an ombrothermic gradient of five climatic regions were broadly studied.
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