title: Multiple Browsers Structure Tree Recruitment in Logged Temperate Forests.
abstract: Historical extirpations have resulted in depauperate large herbivore assemblages in many northern forests. In eastern North America, most forests are inhabited by a single wild ungulate species, white-tailed deer (Odocoileus virginianus), and relationships between deer densities and impacts on forest regeneration are correspondingly well documented. Recent recolonizations by moose (Alces americanus) in northeastern regions complicate established deer density thresholds and predictions of browsing impacts on forest dynamics because size and foraging differences between the two animals suggest a lack of functional redundancy. We asked to what extent low densities of deer + moose would structure forest communities differently from that of low densities of deer in recently logged patch cuts of Massachusetts, USA. In each site, a randomized block with three treatment levels of large herbivores-no-ungulates (full exclosure), deer (partial exclosure), and deer + moose (control) was established. After 6-7 years, deer + moose reduced stem densities and basal area by 2-3-fold, Prunus pensylvanica and Quercus spp. recruitment by 3-6 fold, and species richness by 1.7 species (19%). In contrast, in the partial exclosures, deer had non-significant effects on stem density, basal area, and species composition, but significantly reduced species richness by 2.5 species on average (28%). Deer browsing in the partial exclosure was more selective than deer + moose browsing together, perhaps contributing to the decline in species richness in the former treatment and the lack of additional decline in the latter. Moose used the control plots at roughly the same frequency as deer (as determined by remote camera traps), suggesting that the much larger moose was the dominant browser species in terms of animal biomass in these cuts. A lack of functional redundancy with respect to foraging behavior between sympatric large herbivores may explain combined browsing effects that were both large and complex.
authors.affiliation: Highstead Foundation, Redding, Connecticut, United States of America.
authors.forename: Edward K
authors.initials: EK
authors.lastname: Faison
authors.affiliation: U. S. Geological Survey, Massachusetts Cooperative Fish and Wildlife Research Unit, University of Massachusetts, Amherst, Massachusetts, United States of America.
authors.forename: Stephen
authors.initials: S
authors.lastname: DeStefano
authors.affiliation: Harvard Forest, Harvard University, Petersham, Massachusetts, United States of America.
authors.forename: David R
authors.initials: DR
authors.lastname: Foster
authors.affiliation: Harvard Forest, Harvard University, Petersham, Massachusetts, United States of America.
authors.forename: Joshua M
authors.initials: JM
authors.lastname: Rapp
authors.affiliation: Springfield College, Springfield, Massachusetts, United States of America.
authors.forename: Justin A
authors.initials: JA
authors.lastname: Compton
mesh_terms: D000818:Animals; D002980:Climate; D003670:Deer; D017753:Ecosystem; D016468:Forestry / Q000379:methods*; D065928:Forests; D060434:Herbivory; D008404:Massachusetts; D018547:Plant Stems; D011156:Population Density; D013045:Species Specificity; D014197:Trees