<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div>Hi there,</div><div><br></div><div><blockquote type="cite"><div>I am using centroids of 10x10 km quadrats (approx. 2600 quadrats total) as the input presence/absence data. I have 22 species and used pseudo-absences to model current and future distributions for 2 time horizons and 3 climate change scenarios. Coordinates are in meters, not degrees.</div><div>I tried setting MaxMigr to 0, and also 1, 100, 1000, and both 'limited dispersal' and 'unlimited dispersal' outputs are identical. </div></blockquote><div><br></div><div>Weird… indeed. Would you mind sending us your data (in private email)? </div><div>OK, we need to further check this function and update it with the new functionalities of sp, spdep and raster packages. This function is a bit out-dated now. </div><br><blockquote type="cite"><div>Leaving that aside, I don't understand how Biomod.RangeSize predicts pixel loses and gains with '0 dispersal' and 'unlimited dispersal'. The Compt.By.Species summary seems to make sense, but which of the 2 scenarios (0 dispersal or unlimited dispersal) does Diff.By.Pixel data represent? It almost looks like it shows the unlimited dispersal scenario, but I am mostly interested in the 'no dispersal' projections of loss and gain. I am working with reptiles and amphibians, and the 'no dispersal' scenario would be more realistic. Something in between 0 and unlimited dispersal would be ideal, and this is where I thought the Migration function comes in handy</div></blockquote><div><br></div><div>Diff.By.Pixel is giving you both actually. </div><div><br></div><div>In the case on "no dispersal", do not consider the +1 (they show you specifically the new sites available in case of dispersal). </div><div><br></div><div>In summary, playing with the 4 levels of Diff.By.Pixel, you have:</div><div><br></div><div>Current distribution: (-2) + (-1)</div><div>Future distribution with no dispersal: -1</div><div>Future distribution with full dispersal: (-1) + (+1)</div><div>Areas lost: -2</div><div>Areas potentially gained (in case of dispersal): +1</div><div>Stable areas: -1</div><div><br></div><div><br></div><div>Does it make sense? </div><div><br></div><div>As soon as the Migration function is sorted out, you can then re-use the Biomod.Range.Size function. The unlimited migration in that case, will be the one you have stetted up in Migration to constrain the future distribution. </div><div><br></div><div><br></div><div>Best</div><div><br></div><div>Wilfried</div><div><br></div><div><br></div><br><blockquote type="cite">
<div><br></div><div>Thank you</div><div><br></div><div>Cheers,</div><div>Viorel </div><div><br></div><br><br><div class="gmail_quote">On Fri, Sep 7, 2012 at 1:14 AM, Wilfried Thuiller <span dir="ltr"><<a href="mailto:wilfried.thuiller@ujf-grenoble.fr" target="_blank">wilfried.thuiller@ujf-grenoble.fr</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="word-wrap:break-word"><div>Hi Viorel,</div><div><br></div><div>It has been a long time I did not have a look at this function. </div>
<div>What is the resolution of your data? </div><div>Just for a first try, what does it happen if you set MaxMig at 0. </div><div><br></div><div>Best</div><div>Wilfried</div><div><br></div><div><br></div><br><div><div>Le 6 sept. 2012 à 20:04, Viorel Popescu a écrit :</div>
<br><blockquote type="cite"><div><div class="h5">Hi everyone,<div><br></div><div>I have a few questions about using Migration and how/if it feeds into the Biomod.RangeSize function. I produced current and future distributions using Ensemble.Forecasting, but now I would like to add more realism using the Migration() function and the dispersal parameter MaxMigr. I understand that the MaxMigr units have to be in decimal degrees, but no matter if MaxMigr = 1000 or MaxMigr = 0.16667, the resulting objects (Future20a1b.Migration in my case) are completely identical in terms of probability values.</div>
<div><div><br></div><div><div><i>Migration(CurrentPred = Total_consensus_Current[,,2], FutureProj = Total_consensus_Future20a1b[,,2],</i></div><div><i>X=LatLong[,1], Y=LatLong[,2], MaxMigr=100, Pred.Save="Future20a1b.Migration")</i></div>
</div><div><br></div><div>Moreover, when trying to plot the Current, Limited Dispersal and Unlimited Dispersal distributions, the latter 2 look identical (again, regardless of the value given to MaxMigr) </div><div><div>
<br></div><div><i>par(mfrow=c(1,3))</i></div><div><i>level.plot(Resp.Var[,'Sp21'], XY=LatLong, show.scale=FALSE, title="current distribution", cex=0.8)</i></div><div><i>level.plot(Future20a1b.Migration[,21], XY=LatLong, show.scale=F, title="limited migration", cex=0.8)</i></div>
<div><i>level.plot(Total_consensus_Future20a1b_Bin[,21,2], XY=LatLong, show.scale=FALSE, title="unlimited migration", cex=0.8)</i></div></div><div><br></div><div>Am I doing something wrong with Migration? Also, does the information from Migration feed into the RangeSize function? If so, it is not clear to me how...</div>
<div><br></div><div>Thanks in advance for any advice</div><div><br></div><div>Cheers,</div><div>Viorel</div><div><br></div><div><br></div><div><br></div>-- <br>Viorel D. Popescu, PhD<div>David H. Smith Conservation Research Fellow</div>
<div>University of California - Santa Cruz &</div><div>Simon Fraser University, Biological Sciences</div><br>
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<div><span style="font-size:12px"><div>--------------------------</div><div>Dr. Wilfried Thuiller</div><div>Laboratoire d'Ecologie Alpine, UMR CNRS 5553</div><div>Université Joseph Fourier</div><div>BP53, 38041 Grenoble cedex 9, France</div>
<div>tel: <a href="tel:%2B33%20%280%294%2076%2051%2044%2097" value="+33476514497" target="_blank">+33 (0)4 76 51 44 97</a></div><div>fax: <a href="tel:%2B33%20%280%294%2076%2051%2042%2079" value="+33476514279" target="_blank">+33 (0)4 76 51 42 79</a></div>
<div><br></div><div>Email: <a href="mailto:wilfried.thuiller@ujf-grenoble.fr" target="_blank">wilfried.thuiller@ujf-grenoble.fr</a><br>Personal website: <a href="http://www.will.chez-alice.fr/" target="_blank">http://www.will.chez-alice.fr</a><br>
Team website: <a href="http://www-leca.ujf-grenoble.fr/equipes/emabio.htm" target="_blank">http://www-leca.ujf-grenoble.fr/equipes/emabio.htm</a><br><br>ERC Starting Grant TEEMBIO project: <a href="http://www.will.chez-alice.fr/Research.html" target="_blank">http://www.will.chez-alice.fr/Research.html</a><br>
FP6 European EcoChange project: <a href="http://www.ecochange-project.eu/" target="_blank">http://www.ecochange-project.eu</a></div><div><br></div></span></div></div></span><br></div></span><br></div></span><br></div></span><br>
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<br></div></blockquote></div><br><br clear="all"><div><br></div>-- <br>Viorel D. Popescu, PhD<div>David H. Smith Conservation Research Fellow</div><div>University of California - Santa Cruz &</div><div>Simon Fraser University, Biological Sciences</div>
<div>8888 University Drive</div><div>Burnaby, BC V5A 1S6, Canada</div><div>(604) 340 4228</div><div><a href="http://www.umit.maine.edu/~Dan_Popescu/" target="_blank">www.umit.maine.edu/~Dan_Popescu/</a></div><br>
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