Joined July 2019
6 Photos and videos
Pinned Tweet
2 Nov 2020
Recently, @andyroyle_pwrc, @dwlinden, @gatesdupont & @chrissuthy gave an "Intro to SCR with oSCR" workshop. As promised, here is a YouTube channel with recordings of all the sessions and links to the slides: #SCR youtube.com/channel/UCc87aAz…
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oSCR retweeted
Lovely day with @arpatoz and his group today (inc. my amazing host @Dilsaddt!). So much cool research happening - feeling inspired. Next stop: @Vogelwarte_scie to give an @oSCR_package workshop. #partsofthejobilove

ALT Happy Time GIF

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📢🥳 First PhD paper submitted by @MaelisKervellec showing that roads impede connectivity in Pyrenean brown 🐻 🇫🇷🇪🇸🇦🇩 w/ spatial capture-recapture models & ecological distance in @oSCR_package w/ @Milleret_Cyril @OFBiodiversite @INEE_CNRS @umontpellier biorxiv.org/content/10.1101/…
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New & #OpenAccess in @ESAApplications: Precision and bias of spatial capture-recapture estimates: A multi-site, multi-year Utah black bear case study doi.org/10.1002/eap.2618 With #OpenData in @figshare @greatschmidt @oSCR_package @NSF #ModelUncertainty #BlackBear #NSFFunded
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After a hiatus, the collaboratively taught workshop Camera Trapping Study Design and Data Analysis is back! Taught by an amazing group: Jim Hines, Jim Nichols, @andyroyle_pwrc, @dwlinden & Joe Kolowski ( me). Link here, feel free to ask Q's below. smconservation.gmu.edu/progr…
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Check out our new collaborative paper on coqui frog spatial ecology! ⁦@chrissuthy⁩ ⁦@oSCR_package⁩ ⁦@uprrp⁩ ⁦@SusquehannaU⁩ Warming increases activity in the common tropical frog Eleutherodactylus coqui - ScienceDirect sciencedirect.com/science/ar…

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Disease ecology friends! Excellent PhD position open with my MSc advisor et al.: Studying spatio-temporal dynamics of multiple pathogens in multiple host spp ( coinfection) Access to a *fantastic* metapopulation dataset for detailed empirical work!!
We have a funded PhD studentship to investigate pathogen dynamics & diversity in a really neat metapopulation system. If working on the interface of #molecular #spatial & #quantitative #ecology interests you, get in touch! Based at @UoABioSci with Sandra Telfer & @Lambin_Ecology
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Case study evaluations: As an empirical example, we use the nybears data in @oSCR_package. Compared to the non-integrated model, our model captures increased spatial structure in (density-weighted) connectivity. [5/n]
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6 Oct 2021
Dear nimble users: As a step towards seeking funding for nimble development work, we've put together a very short survey. If you use nimble, can we grab a few minutes of your time to fill it out by the end of Friday Oct 15? forms.gle/Rh9p5Vth4jtPNs8n7
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@oSCR_package was this in your list serve? If you remember? Otherwise it was in Effords or from @BenCAugustine ?
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I suggest setting as many models running as equals 8hrs. Then sleep and wake up energised to some fresh #ocelot #inference 😊
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However, remember that capture-recapture assumptions are only met in a fishbowl. For that, #spatialcapturerecapture have been developed, and nowadays is a method to estimate #wildlife abundance widely applied #SCR #cameratrap @oSCR_package @andyroyle_pwrc @chrissuthy @ZiFridolin
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Great! Yeah I think YouTube is a bit finicky sometimes — you just have to scroll to the next page or something within the playlist. But all 6 are there!
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And here’s the link to the oSCR SCR virtual workshop 2020 playlist (same content currently): youtube.com/playlist?list=PL…
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Hi @jessica_mohlman, thanks for writing! The video should be on the @oSCR_package YouTube page. All the links for design content are below:
🚨 My lecture on optimal #SCRdesign is 🆓 online! Get started with scrdesignGA() from @oSCR_package! 🛷Slides: bit.ly/SCRdesign_Slides 👩‍🎓Lecture: bit.ly/SCRdesign_YouTube 👨‍🏫Vignette :bit.ly/SCRdesign_Vignette 📰Preprint: bit.ly/SCRdesign_Preprint 🆘Help file: bit.ly/SCRdesign_Help
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Interested in data integration and macrosystems ecology? Check out our new paper just published today @ESAFrontiers with @ZipkinLab @mwtingley 😎 esajournals.onlinelibrary.wi…

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new R package called 'umbs' by Ken Kellner who is a wizard. See announcement here: groups.google.com/g/unmarked… This package uses STAN as a Bayesian engine to fit the models in unmarked (which all use marginal likelihood). unbs allows random effects in the unmarked models

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