TY - JOUR
T1 - Simulating ungulate herbivory across forest landscapes
T2 - A browsing extension for LANDIS-II
AU - De Jager, Nathan R.
AU - Drohan, Patrick J.
AU - Miranda, Brian M.
AU - Sturtevant, Brian R.
AU - Stout, Susan L.
AU - Royo, Alejandro A.
AU - Gustafson, Eric J.
AU - Romanski, Mark C.
N1 - Funding Information:
This research was funded by the Natural Resources Preservation Program, a collaborative U.S. Geological Survey (USGS) and National Park Service (NPS) program through which USGS scientists address priority research needs identified by the NPS. This research was also supported by the USDA Forest Service Northern Research Station, Irvine, PA, and the U.S. National Fire Plan. We thank Mr. Paul Roth for early contributions towards this research. Jason Rohweder and Timothy Fox (USGS) helped to create initial communities and ecoregion files for the Isle Royale simulations. Comments from David Mladenoff, John Pastor, and two anonymous reviewers have greatly improved this manuscript. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Publisher Copyright:
© 2017
PY - 2017/4/24
Y1 - 2017/4/24
N2 - Browsing ungulates alter forest productivity and vegetation succession through selective foraging on species that often dominate early succession. However, the long-term and large-scale effects of browsing on forest succession are not possible to project without the use of simulation models. To explore the effects of ungulates on succession in a spatially explicit manner, we developed a Browse Extension that simulates the effects of browsing ungulates on the growth and survival of plant species cohorts within the LANDIS-II spatially dynamic forest landscape simulation model framework. We demonstrate the capabilities of the new extension and explore the spatial effects of ungulates on forest composition and dynamics using two case studies. The first case study examined the long-term effects of persistently high white-tailed deer browsing rates in the northern hardwood forests of the Allegheny National Forest, USA. In the second case study, we incorporated a dynamic ungulate population model to simulate interactions between the moose population and boreal forest landscape of Isle Royale National Park, USA. In both model applications, browsing reduced total aboveground live biomass and caused shifts in forest composition. Simulations that included effects of browsing resulted in successional patterns that were more similar to those observed in the study regions compared to simulations that did not incorporate browsing effects. Further, model estimates of moose population density and available forage biomass were similar to previously published field estimates at Isle Royale and in other moose-boreal forest systems. Our simulations suggest that neglecting effects of browsing when modeling forest succession in ecosystems known to be influenced by ungulates may result in flawed predictions of aboveground biomass and tree species composition.
AB - Browsing ungulates alter forest productivity and vegetation succession through selective foraging on species that often dominate early succession. However, the long-term and large-scale effects of browsing on forest succession are not possible to project without the use of simulation models. To explore the effects of ungulates on succession in a spatially explicit manner, we developed a Browse Extension that simulates the effects of browsing ungulates on the growth and survival of plant species cohorts within the LANDIS-II spatially dynamic forest landscape simulation model framework. We demonstrate the capabilities of the new extension and explore the spatial effects of ungulates on forest composition and dynamics using two case studies. The first case study examined the long-term effects of persistently high white-tailed deer browsing rates in the northern hardwood forests of the Allegheny National Forest, USA. In the second case study, we incorporated a dynamic ungulate population model to simulate interactions between the moose population and boreal forest landscape of Isle Royale National Park, USA. In both model applications, browsing reduced total aboveground live biomass and caused shifts in forest composition. Simulations that included effects of browsing resulted in successional patterns that were more similar to those observed in the study regions compared to simulations that did not incorporate browsing effects. Further, model estimates of moose population density and available forage biomass were similar to previously published field estimates at Isle Royale and in other moose-boreal forest systems. Our simulations suggest that neglecting effects of browsing when modeling forest succession in ecosystems known to be influenced by ungulates may result in flawed predictions of aboveground biomass and tree species composition.
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U2 - 10.1016/j.ecolmodel.2017.01.014
DO - 10.1016/j.ecolmodel.2017.01.014
M3 - Article
AN - SCOPUS:85013175395
SN - 0304-3800
VL - 350
SP - 11
EP - 29
JO - Ecological Modelling
JF - Ecological Modelling
ER -