DATA: Van der Aart & Smeek-Enserink (1975) DIRECTORY: \CANOCO\SAMPLES\UNIMODAL\SPIDER1 PROBLEM: Determination of the niches of hunting spiders in a dune area BOOKLET: pp 54-55 ILLUSTRATION OF: + DCA interpretation. + How to plot a species response curve against an ordination axis using CanoDraw + How to interpret an indirect gradient analysis with CANOCO if there are many samples without environmental data. + How CANOCO links samples in different files. + How to relate the ordination axes of different analyses. _______________________________________________________________________________ FILE TYPE | FILE NAME | DESCRIPTION -------------+---------------+------------------------------------------------- SPECIES | spide100.dta | counts of 12 hunting spiders in 100 pitfalls in | | a dune area ENVIRONMENT | soilveg.dta | data 26 variables on soil and vegetation around | | 28 of the pitfalls | soilvgln.dta | ln-transformed soil and vegetation variables | | 28 pitfalls DERIVED | dca100.dta | sample scores on the DCA axes, derived in | | project spidedca.con from the spider counts PROJECTS | spid_ca.con | CA of spider counts (100 active samples) | spid_dca.con | DCA of spider counts (100 active samples) | indirect.con | regression of the first axis of the DCA on the | | soil and vegetation variables(28 active samples) | indiforw.con | as indirect.con but using forward selection | dca28.con | DCA of spider counts with environment data, | | yielding a DCA of 28 pitfalls only (28 | | active samples) | dca28100.con | DCA of spider counts with environment data, | | relating the two DCA analyses for the 28 | | pitfalls | spid_cca.con | CCA of spider counts on 6 soil and vegetation | | variables (28 active pitfalls) -------------+---------------+------------------------------------------------- Van der Aart, P.J.M. & Smeenk-Enserink, N.(1975): Correlations between distribution of hunting spiders (Lycosidae, Ctenidae) and environmental characteristics in a dune area. Neth. J. Zool., 25: 1-45.