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dc.contributor.authorPuhlick, Joshua J.
dc.contributor.authorLaughlin, Daniel C.
dc.contributor.authorMoore, Margaret M.
dc.date.accessioned2011-11-17T21:32:24Z
dc.date.available2011-11-17T21:32:24Z
dc.date.issued2012-01
dc.identifier.citationPuhlick, J.J., Laughlin, D.C. & Moore, M.M. (2012). Factors influencing ponderosa pine regeneration in the southwestern USA. Forest Ecology and Management, 264, 10-19.en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/5899
dc.description.abstractImproving predictions of ponderosa pine (Pinus ponderosa var. scopulorum) regeneration is critical as landscape-scale restoration efforts are being implemented across the western United States. The establishment of new ponderosa pine cohorts following restoration treatments will have long-term impacts on the future development of forest stands. At a regional scale, we used data associated with 364 Forest Inventory and Analysis (FIA) plots within the ponderosa pine forest type on National Forests in Arizona and New Mexico. At a local scale, we sampled 28 stands on basalt and sedimentary parent materials on the Coconino National Forest in northern Arizona. Structural equation models were developed to determine the relative importance of direct and indirect factors affecting ponderosa pine seedling densities at both regional and local scales. The regional model only explained 13% of the variation in pine seedling density. The model indicated that ponderosa pine seedling density was highest where (1) mean annual precipitation was highest, (2) average May minimum temperature was highest, (3) overstory stand basal area was lowest and (4) Muhlenbergia spp. were dominant herbaceous plants. The local model explained 76% of the variation in pine seedling density. Densities were highest where (1) mean annual precipitation was highest, (2) soil clay content was lowest, (3) soil pH was lowest, (4) Muhlenbergia virescens frequency was highest and (5) seed tree frequency was highest. If additional factors such as soil texture, soil pH, screwleaf muhly frequency and seed tree frequency were measured on FIA plots, then perhaps more variation in pine seedling density could be explained at the regional scale.en_NZ
dc.language.isoen
dc.publisherElsevier BVen_NZ
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S0378112711006049en_NZ
dc.subjectclimateen_NZ
dc.subjectForest Inventory and Analysisen_NZ
dc.subjectstructural equation modellingen_NZ
dc.subjectecological restorationen_NZ
dc.subjecttree regenerationen_NZ
dc.subjectCoconino National Foresten_NZ
dc.titleFactors influencing ponderosa pine regeneration in the southwestern USAen_NZ
dc.typeJournal Articleen_NZ
dc.identifier.doi10.1016/j.foreco.2011.10.002en_NZ
dc.relation.isPartOfForest Ecology & Managementen_NZ
pubs.begin-page10en_NZ
pubs.elements-id36685
pubs.end-page19en_NZ
pubs.volume264en_NZ
uow.identifier.article-noCen_NZ


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