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A thread on my review of the capture-recapture literature for the conference Wildlife Research and Conservation 2019 izw-berlin.de/welcome-234.ht… in Berlin 🇩🇪. Slides, analyses, data & #rstats codes available from tinyurl.com/y5npsk5r 1/23 Image
2/23. The basic idea is simple: Capture, mark and recapture animals. Proportion of marked animals ▶️ detection probability ▶️ abundance estimate. You may (re)capture and mark with invasive 🐭 or non-invasive 🐯 methods tinyurl.com/y3fdorxj Image
3/23. Review on 2009-2019 period w/ > 5000 scientific papers. Check out github.com/oliviergimenez… for details. More on research weaving tinyurl.com/yyrvdc7a @itchyshin #bibiometrics #systematicreview Image
4/23. Disclaimer: I fell into the capture-recapture potion when I was a young scientist, with a little help from Jean-Dominique Lebreton and Roger Pradel (Roger is already in the cauldron). Image
5/23. Let’s start with ecological considerations. Image
6/23. Research was about abundance in the 80s (patterns), then switched towards survival in the 90s and transitions in the 00s (process). In the last decade, research has been conducted on both patterns and process. The field has come full circle 🔄 Image
7/23. Capture-recapture is all about vertebrate demography. It is used mostly for animals, rarely for plants. It is all about vertebrates, and many different species. Image
8/23. To determine hot topics in capture-recapture, I used topic modeling en.wikipedia.org/wiki/Topic_mod…. It turns out that the speakers we invited for our session got them all, abstracts here tinyurl.com/y2mt2exx Image
9/23. Let’s continue with methods. Image
10/23. The last decade has been about how to mark and (re)capture animals with non-invasive methods. Camera trapping 📸 and genetic tagging 🧬 mostly. Check out book tinyurl.com/yxrxv28y by Rovera & @ZiFridolin and paper tinyurl.com/y5ja3v3u by @ClaytonTLamb and colleagues. ImageImage
11/23. We see an uptake of state-space (SSM) and hidden Markov models (SSM w/ Markovian states). Objectives are to estimate i) transitions between states: survival, dispersal, breeding or infection and ii) the hidden states: disease/hybrid prevalence, sex ratio, home ranges XY Image
12/23. Combining information has become a thing. Two ways. Image
13/23. First, integrated population models - check out special feature tinyurl.com/y27t77a7 led by @ZipkinLab and colleagues in @ESAEcology Image
14/23. Second, combined data models - check out recent paper by @catsunbear @andyroyle_pwrc @Fuller_Lab tinyurl.com/yyadxf6o Image
15/23. Where do we go from there? Technology is changing everything. Image
16/23. New technologies produce new data. More data. #drones, e-DNA, PIT tags, bioacoustics, etc… Image
17/23. Survey design remains important. Check out paper tinyurl.com/yyynpxtm by Williams and Brown in @MethodsEcolEvol Image
18/23. We need to think of species as components of (socio-)ecosystems to better understand/protect them. Going from population to community ecology & studying interactions. Check out tinyurl.com/y5vvjjq2 for multispecies integrated population models w/ @FredBarraquand Image
19/23. Another avenue of research is #spatial #capturerecapture #scr models "to boldly go where no ecologist has gone before" 🖖. Check out @EcographyJourna review tinyurl.com/y435txtv by @andyroyle_pwrc @Fuller_Lab @chrissuthy Image
20/23. Also, safe to bet that there will be further research on combiing capture-recapture w/ even more sources of information, including data on unmarked animals and telemetry data. Interesting to note that these data can be analyzed with hidden Markov models. Image
21/23. Hidden Markov models #HMM might even become a unifying framework for data combination tinyurl.com/y3r9lquh @EcoHMM @UniKentSEaK Image
22/23. Collaborations exist btw ecology & climate science, more to come hopefully. We should embrace #ArtificialIntelligence w/ #DeepLearning for 📷📻📽️ processing and #MachineLearning for inference. Statistics & computer science remain important, w/ data combination and #BigData Image
23/23. I ❤️ capture-recapture because there is cross-fertilization between disciplines, collaborations and because the research community is inclusive and friendly. Long live capture-recapture! Image
Bonus 24/23. I ignored books, for convenience. But there is a bunch of them, each one more interesting than the other. Image
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