Principal response curves would be a good way to go if you have balanced data.
My recent paper may be of interest: Bird, TLF et al.. (2017) Shrub Encroachment Effects on Habitat Heterogeneity and Beetle Diversity in a Mediterranean Coastal Dune System. Land Degrad. Develop., 28: 2553–2562. doi: 10.1002/ldr.2807 <http://dx.doi.org/10.1002/ldr.2807>. I used repeated measures PERMANOVA and ADONIS (a more robust alternative to anosim) with an unbalanced dataset. If this seems of interest I can share my code. Tania Tania Bird MSc PhD Student: Multivariate approaches to conserve and restore multi-taxa coastal dune biodiversity Dept. of Geography & Environmental Development, Ben Gurion University, Beer Sheva https://www.linkedin.com/in/taniabird bi...@post.bgu.ac.il On 24 January 2018 at 16:51, Zoltan Botta-Dukat < botta-dukat.zol...@okologia.mta.hu> wrote: > Hi, > > You also try using principal response curves as suggested in this recent > publication: > > dx.doi.org/10.1002/ecs2.2023 > > Zoltan > > > 2018.01.24. 15:28 keltezéssel, Pedro Pequeno írta: > > Hi, > > > > you could ordinate your observations first (e.g. using NMDS or PCoA), and > > then model the resulting scores using location and time as predictors (if > > you are interested in estimating their independent effects), or using a > > repeated-measures Anova or a GLMM with location as random factor to > > account for within-location autocorrelation. > > > > Just in case, Legendre & Gauthier (2014) discuss several approaches for > > space-time analyses ( > > http://rspb.royalsocietypublishing.org/content/281/1778/20132728.short) > > > > Cheers, > > > > Pedro A. C. L. Pequeno > > > > Em terça-feira, 23 de janeiro de 2018, David Barfknecht < > > dfbarfkne...@outlook.com> escreveu: > > > >> Hello all, > >> > >> I am currently working on a project that uses species occurrence data > >> (0/1) to construct an NMDS ordination where some points are the same > >> location but through time (10 locations X 3 survey times = 30 > >> observations). I want to use ANOSIM and PERMANOVA to look at both > >> individual locations controlling for time and all survey periods > >> controlling for location. Basically, I want to look at location and > times > >> as separate factors. I am curious if anyone have ever had to write a > >> script for repeated measures ANOSIM and/or PERMANOVA. I am aware of how > to > >> do the unrepeated measures version of these in the vegan package, but > not > >> repeated measures versions. Any suggestions? > >> > >> If not, are there other methods more appropriate to investigate this? > >> > >> Thank you in advance for any advice. > >> > >> Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for > >> Windows 10 > >> > >> > >> [[alternative HTML version deleted]] > >> > >> _______________________________________________ > >> R-sig-ecology mailing list > >> R-sig-ecology@r-project.org > >> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology > >> > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > R-sig-ecology mailing list > > R-sig-ecology@r-project.org > > https://stat.ethz.ch/mailman/listinfo/r-sig-ecology > > > -- > > Botta-Dukát Zoltán Zoltán BOTTA-Dukát > ------------------------------------------------------------ > ------------------------ > Ökológiai és Botanikai Intézet Institute of Ecology and > Botany > Magyar Tudományos Akadémia Hungarian Academy of > Sciences > Ökológiai Kutatóközpont Centre for Ecological > Research > ------------------------------------------------------------ > -------------------------------- > 2163. Vácrátót, Alkotmány u. 2-4. H-2163 Vácrátót, > Alkomány u. 2-4.,HUNGARY > tel: +36 28 360122/138 Phone: +36 28 360122/138 > fax: +36 28 360110 Fax +36 28 360110 > botta-dukat.zol...@okologia.mta.hu > botta-dukat.zol...@okologia.mta.hu > http://okologia.mta.hu/Botta-Dukat.Zoltan > http://okologia.mta.hu/en/Zoltan.BOTTA-DUKAT > > *New book:* > Theory-Based Ecology; A Darwinian approach > Authors: Liz Pásztor, Zoltán Botta-Dukát, Gabriella Magyar, Tamás > Czárán, and Géza Meszéna > Available at Amazon > <https://www.amazon.com/Theory-Based-Ecology-Darwinian-Liz-P > asztor/dp/0199577862/ref=sr_1_1?s=books&ie=UTF8&qid=14676447 > 70&sr=1-1&refinements=p_27%3ATamas+Czaran>, > in most major bookstores, or directly from Oxford University Press > <https://global.oup.com/academic/product/theory-based-ecolog > y-9780199577866?lang=en&cc=gb> > Companion website: http://tbe.elte.hu/ > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-ecology mailing list > R-sig-ecology@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-ecology > [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
