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The results of the Bayesian regression for bush rat model 4..:
Aurelie M. Kanishka
;
Wade Blanchard
;
Tyrone H. Lavery
...
doi:10.1371/journal.pone.0292919.t003. , 2023
Link:
https://doi.org/10.1371/journal.pone.0292919.t003
RT Journal T1
The results of the Bayesian regression for bush rat model 4 (which was selected as the most parsimonious model using the LOOIC score)
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_24691794&Exemplar=1&LAN=DE A1 Aurelie M. Kanishka A1 Wade Blanchard A1 Tyrone H. Lavery A1 Natasha M. Robinson A1 Nick Dexter A1 Chris R. Dickman A1 Christopher MacGregor A1 David B. Lindenmayer YR 2023 K1 Evolutionary Biology K1 Ecology K1 Inorganic Chemistry K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 trichosurus vulpecula </ K1 term monitoring sites K1 rattus fuscipes </ K1 introduced predator control K1 common brushtail possums K1 common brushtail possum K1 using 14 years K1 occurring native rodent K1 infer negative relationships K1 species would vary K1 div >< p K1 bush rats affected K1 bush rats K1 occurring species K1 bush rat K1 using co K1 tested hypotheses K1 subsequent recovery K1 resource availability K1 repeat surveys K1 novel method K1 negative association K1 initial decline K1 including conservation K1 human disturbances K1 global escalation K1 eastern australia K1 directed interventions K1 diagnose threats K1 controlled environment K1 complex ways K1 analyses revealed JF doi:10.1371/journal.pone.0292919.t003 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0292919.t003 DO https://doi.org/10.1371/journal.pone.0292919.t003 SF ELIB - SuUB Bremen
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