update yml

_site.yml

@@ -18,7 +18,7 @@ navbar:
     - text: "Courses"
       href: "#"
       menu:
-     - text: "DAY 1"
+      - text: "DAY 1"
       - text: "Sonia Kefi talk"
         href: "courses/theo-modeling/intro_why_models.html"
       - text: "Isabelle Gounand talk"

search.json

@@ -35,15 +35,15 @@
         }
       ],
       "date": "`r format(Sys.Date(), '%m-%d-%Y')`",
-      "contents": "\n\n \nPre-registration opens each spring and training course is provided each winter. Subscribe to the FRB-CESAB newsletter to stay informed. More information is available on the FRB-CESAB website.\n\n\nThe objective of this five-day workshop, co-organized by the\nFRB-CESAB\nand the\nGdR TheoMoDive\nis to train young researchers in theory-based approaches to model ecological data\n(e.g. temporal series, macroecology, interaction and trophic network, etc.).\nN.B. This training course is in English and slides are available in the tab Courses/.\n\nProgram\n\nMonday\n\n\nSpeakers: Isabelle Gounand, Sonia Kéfi & Vincent Calcagno\n\n\nIcebreaker & Introduction to the week\n\n\nMathematical modeling & Theory SLIDESSLIDES\n\n\nGuest seminar: Kim Cuddington (Waterloo Univ., Canada) SLIDES\n\n\nTuesday\n\n\nSpeakers: Emanuel Fronhofer & Jhelam Deshpande\n\n\nTemporal series and dynamics in ecology SLIDES\n\n\nWednesday\n\n\nSpeakers: Vincent Calcagno & Quentin Petitjean\n\n\nSpatial data, macro-ecology and co-occurrences SLIDES\n\n\nGuest seminar: Davide Martinetti (INRAE, Avignon) SLIDES\n\n\nThursday\n\n\nSpeakers: François Massol & Claire Jacquet\n\n\nInteraction networks, trophic networks & complexity SLIDESSLIDES\n\n\nGuest speaker: Matthieu Barbier (CIRAD, Montpellier & INTP) SLIDES\n\n\nGuest seminar: Sonia Kéfi (CNRS, Montpellier) SLIDES\n\n\nFriday\n\n\nSubgroups projects\n\n\nPrerequisites\nIf you want ready-to-use working environment for R, follow this tutorial. For this course, you don’t need to install git and Docker.\n\nSee also\nDiscover the other training courses provided by the FRB-CESAB and its partners: https://frbcesab.github.io/training-courses/\nCitation\nCasajus N, Calcagno V, Fronhofer EA, Gounand I, Jacquet C, Kéfi C & Massol F (2024)\nFRB-CESAB & GdR TheoMoDive training course: Theory-driven analysis for ecological data.\n\n\n\n",
-      "last_modified": "2024-03-14T09:29:16+00:00"
+      "contents": "\n\n \nPre-registration opens each spring and training course is provided each winter. Subscribe to the FRB-CESAB newsletter to stay informed. More information is available on the FRB-CESAB website.\n\n\nThe objective of this five-day workshop, co-organized by the\nFRB-CESAB\nand the\nGdR TheoMoDive\nis to train young researchers in theory-based approaches to model ecological data\n(e.g. temporal series, macroecology, interaction and trophic network, etc.).\nN.B. This training course is in English and slides are available in the tab Courses/.\n\nProgram\n\nMonday\n\n\nSpeakers: Isabelle Gounand, Sonia Kéfi & Vincent Calcagno\n\n\nIcebreaker & Introduction to the week\n\n\nMathematical modeling & Theory SLIDESSLIDESSLIDES\n\n\nGuest seminar: Kim Cuddington (Waterloo Univ., Canada) SLIDES\n\n\nTuesday\n\n\nSpeakers: Emanuel Fronhofer & Jhelam Deshpande\n\n\nTemporal series and dynamics in ecology SLIDES\n\n\nWednesday\n\n\nSpeakers: Vincent Calcagno & Quentin Petitjean\n\n\nSpatial data, macro-ecology and co-occurrences SLIDES\n\n\nGuest seminar: Davide Martinetti (INRAE, Avignon) SLIDES\n\n\nThursday\n\n\nSpeakers: François Massol & Claire Jacquet\n\n\nInteraction networks, trophic networks & complexity SLIDESSLIDES\n\n\nGuest speaker: Matthieu Barbier (CIRAD, Montpellier & INTP) SLIDES\n\n\nGuest seminar: Sonia Kéfi (CNRS, Montpellier) SLIDES\n\n\nFriday\n\n\nSubgroups projects\n\n\nPrerequisites\nIf you want ready-to-use working environment for R, follow this tutorial. For this course, you don’t need to install git and Docker.\n\nSee also\nDiscover the other training courses provided by the FRB-CESAB and its partners: https://frbcesab.github.io/training-courses/\nCitation\nCasajus N, Calcagno V, Fronhofer EA, Gounand I, Jacquet C, Kéfi C & Massol F (2024)\nFRB-CESAB & GdR TheoMoDive training course: Theory-driven analysis for ecological data.\n\n\n\n",
+      "last_modified": "2024-03-14T14:09:22+01:00"
     },
     {
       "path": "resources.html",
       "title": "Resources",
       "author": [],
       "contents": "\n\nRecommended papers [day 1: models]\nFranck C, Dunne JA, Le Maho Y, May RM, Thébaud C, Hochberg ME (2015) Fundamental ecology is fundamental. Trends in Ecology & Evolution, 30(1):9-16 (https://doi.org/10.1016/j.tree.2014.11.005)\nGrainger TN, Senthilnathan A, Ke P-J, Barbour MA, Jones NT, DeLong JP, Otto SP, O’Connor MI, Coblentz KE, Goel N, Sakarchi J, Szojka MC, Levine JM & Germain RM (2022) An Empiricist’s Guide to Using Ecological Theory. The American Naturalist, 199(1): 1-20 (https://doi.org/10.1086/717206)\nRecommended papers [day 2: time]\nFronhofer EA, Govaert L, O’Connor MI, Schreiber, SJ. & Altermatt F (2024) The shape of density dependence and the relationship between population growth, intraspecific competition and equilibrium population density. Oikos, 2024(2): e09824 (10.1111/oik.09824)\nRosenbaum B & Fronhofer EA (2023) Confronting population models with experimental microcosm data: from trajectory matching to state-space models. Ecosphere, 14(4):e4503 (10.1002/ecs2.4503)\nHuneman P (2019) How the Modern Synthesis Came to Ecology. J. Hist. Biol., 52(4):635-686 (10.1007/s10739-019-09570-9)\nMallet J (2012) The struggle for existence: how the notion of carrying capacity, K, obscures the links between demography, Darwinian evolution, and speciation. Evol. Ecol. Res., 14(5):627-665\nRecommended papers [day 4: networks]\nBascompte J (2009) Disentangling the Web of Life. Science, 325,416-419, (https://www.science.org/doi/10.1126/science.1170749)\nMay RM (1972) Will a large complex system be stable? Nature, doi: 10.1038/238413a0.\n PDF\nWilliams RJ & Martinez ND (2000) Simple rules yield complex food webs. Nature, doi: 10.1038/35004572.\n PDF\nAdditional references\nAkjouj, I., Barbier, M., Clenet, M., Hachem, W., Maïda, M., Massol, F., Najim, J. & Tran, V. C. (2024) Complex systems in ecology: a guided tour with large Lotka–Volterra models and random matrices. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480, 20230284.\nCohen JE & Briand F (1984) Trophic links of community foodwebs. PNAS, doi: 10.1073/pnas.81.13.4105.\n PDF\nCohen JE & Newman CM (1988) Dynamic basis of food web organization. Ecology, doi: 10.2307/1941142.\n PDF\nde Ruiter PC, Neutel A-M & Moore JC (1995) Energetics, patterns of interaction strengths, and stability in real ecosystems. Science, 269, doi: 10.1126/science.269.5228.1257.\n PDF\nDunne JA, Williams RJ & Martinez ND (2002) Network structure and biodiversity loss in food webs: robustness increases with connectance. Ecology Letters, doi: 10.1046/j.1461-0248.2002.00354.x.\n PDF\nGrainger TN et al. (2022) An empiricist’s guide to using ecological theory. The American Naturalist, doi: 10.1086/717206.\n PDF\nJames A et al. (2015) Constructing random matrices to represent real ecosystems. The American Naturalist, doi: 10.1086/680496.\n PDF\nLeger J-B, Daudin J-J & Vacher C (2015) Clustering methods differ in their ability to detect patterns in ecological networks. Methods in Ecology and Evolution, doi: 10.1111/2041-210X.12334.\n PDF\nLewinsohn TM et al. (2006) Structure in plant-animal interaction assemblages. Oikos, doi: 10.1111/j.0030-1299.2006.14583.x.\n PDF\nNewman MEJ (2006) Modularity and community structure in networks. PNAS, doi: 10.1073/pnas.0601602103.\n PDF\nPodani J & Schmera D (2012) A comparative evaluation of pairwise nestedness measures. Ecography, doi: 10.1111/j.1600-0587.2011.07319.x.\n PDF\nStrona G et al. (2014) A fast and unbiased procedure to randomize ecological binary matrices with fixed row and column totals. Nature Communications, doi: 10.1038/ncomms5114.\n PDF\nStumpf MPH et al. (2012) Critical truths about power laws. Science, doi: 10.1126/science.1216142.\n PDF\nThomas M et al. (2015) Chapter 6 - A network-based method to detect patterns of local crop biodiversity: Validation at the species and infra-species levels. Advances in Ecological Research, doi: 10.1016/bs.aecr.2015.10.002.\n PDF\nYang Z, Algesheimer R & Tessone CJ (2016) A comparative analysis of community detection algorithms on artificial networks. Scientific Reports, doi: 10.1038/srep30750.\n PDF\n\n\n\n",
-      "last_modified": "2024-03-14T09:29:17+00:00"
+      "last_modified": "2024-03-14T14:06:49+01:00"
     }
   ],
   "collections": []

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