@article{TEXTUAL,
      recid = {6224},
      author = {Polivka, Carlos M. and Mihaljevic, Joseph R. and Dwyer,  Greg},
      title = {Use of a mechanistic growth model in evaluating  post-restoration habitat quality for juvenile salmonids},
      journal = {PLOS ONE},
      address = {2020-06-24},
      number = {TEXTUAL},
      abstract = {<p>Individual growth data are useful in assessing relative  habitat quality, but this approach is less common when  evaluating the efficacy of habitat restoration.  Furthermore, available models describing growth are  infrequently combined with computational approaches capable  of handling large data sets. We apply a mechanistic model  to evaluate whether selection of restored habitat can  affect individual growth. We used mark-recapture to collect  size and growth data on sub-yearling Chinook salmon and  steelhead in restored and unrestored habitat in five  sampling years (2009, 2010, 2012, 2013, 2016). Modeling  strategies differed for the two species: For Chinook, we  compared growth patterns of individuals recaptured in  restored habitat over 15-60 d with those not recaptured  regardless of initial habitat at marking. For steelhead, we  had enough recaptured fish in each habitat type to use the  model to directly compare habitats. The model generated  spatially explicit growth parameters describing size of  fish over the growing season in restored vs. unrestored  habitat. Model parameters showed benefits of restoration  for both species, but that varied by year and time of  season, consistent with known patterns of habitat  partitioning among them. The model was also supported by  direct measurement of growth rates in steelhead and by  known patterns of spatio-temporal partitioning of habitat  between these two species. Model parameters described not  only the rate of growth, but the timing of size increases,  and is spatially explicit, accounting for habitat  differences, making it widely applicable across taxa. The  model usually supported data on density differences among  habitat types in Chinook, but only in a couple of cases in  steelhead. Modeling growth can thus prevent overconfidence  in distributional data, which are commonly used as the  metric of restoration success.</p>},
      url = {http://knowledge.uchicago.edu/record/6224},
}