Role of selection versus historical isolation in racial differentiation of ponderosa pine in southern Oregon: an investigation of alternative hypotheses

Sorensen, Frank C.; Mandel, Nancy L.; Aagaard, Jan

doi:10.1139/cjfr-31-7-1127

Cited by 5 publications

(7 citation statements)

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“…The design of the original study differs from typical genecological study designs in several respects (Johnson et al 2004). For example, in some U.S. studies, population sampling is usually denser over the geographic range of interest but with fewer parents per location (Campbell 1991; Sorensen et al 2001; Erickson et al 2004). On the other hand, some Canadian examples from British Columbia and Mexico typically sample a similar number of populations but have more parents per population and multiple test sites (Ying 1997; Sáenz‐Romero et al 2006).…”

Section: Discussionmentioning

confidence: 99%

Genecology ofHolodiscus discolor(Rosaceae) in the Pacific Northwest, U.S.A.

Horning

McGovern

Darris

et al. 2010

Restoration Ecology

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An important goal for land managers is the incorporation of appropriate (e.g., locally adapted and genetically diverse) plant materials in restoration and revegetation activities. To identify these materials, researchers need to characterize the variability in essential traits in natural populations and determine how they are related to environmental conditions. This common garden study was implemented to characterize the variability in growth and phenological traits relative to climatic and geographic variables of 39 Holodiscus discolor (Pursh) Maxim. accessions from locations throughout the Pacific Northwest, U.S.A. Principal component analysis of 12 growth and phenological traits explained 48.2% of the observed variability in the first principal component (PC-1). With multiple regressions, PC-1 was compared to environmental values at each source location. Regression analysis identified a four-variable model containing elevation, minimum January temperature, maximum October temperature, and February precipitation that explained 86% of the variability in PC-1 (r 2 ¼ 0.86, p < 0.0001). Spatial analysis using this regression model identified patterns of genetic diversity within the Pacific Northwest that can help guide germplasm selection (i.e., seed collections) for restoration and revegetation activities.

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Section: Discussionmentioning

confidence: 99%

Genecology ofHolodiscus discolor(Rosaceae) in the Pacific Northwest, U.S.A.

Horning

McGovern

Darris

et al. 2010

Restoration Ecology

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“…Three characteristics of our study determined model choice: (1) uncertainty about whether ponderosa pine comprises a single coherent ecological species (Wells, 1964; Rehfeldt, 1990, 1993; Sorensen et al. , 2001); (2) ability to explain ponderosa pine absence in the centre of its geographic range; and (3) the nature of errors in distribution data for ponderosa pine.…”

Section: Methodsmentioning

confidence: 99%

“…It is conspicuously absent, however, from the mountain ranges in the physiographic Great Basin of north and central Nevada and western Utah as well as western Wyoming and southern Idaho. The wide distribution of ponderosa pine encompasses at least two varieties, several suggested races, and numerous populations that exhibit genetic differences (Korstian, 1924; Weidman, 1939; Conkle & Critchfield, 1988; Sorensen et al. , 2001).…”

Section: Introductionmentioning

confidence: 99%

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Classification tree and minimum‐volume ellipsoid analyses of the distribution of ponderosa pine in the western USA

Norris

Jackson

Betancourt

2006

Journal of Biogeography

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Aim Ponderosa pine (Pinus ponderosa Douglas ex Lawson & C. Lawson) is an economically and ecologically important conifer that has a wide geographic range in the western USA, but is mostly absent from the geographic centre of its distribution -the Great Basin and adjoining mountain ranges. Much of its modern range was achieved by migration of geographically distinct Sierra Nevada (P. ponderosa var. ponderosa) and Rocky Mountain (P. ponderosa var. scopulorum) varieties in the last 10,000 years. Previous research has confirmed genetic differences between the two varieties, and measurable genetic exchange occurs where their ranges now overlap in western Montana. A variety of approaches in bioclimatic modelling is required to explore the ecological differences between these varieties and their implications for historical biogeography and impending changes in western landscapes.Location Western USA.Methods We used a classification tree analysis and a minimum-volume ellipsoid as models to explain the broad patterns of distribution of ponderosa pine in modern environments using climatic and edaphic variables. Most biogeographical modelling assumes that the target group represents a single, ecologically uniform taxonomic population. Classification tree analysis does not require this assumption because it allows the creation of pathways that predict multiple positive and negative outcomes. Thus, classification tree analysis can be used to test the ecological uniformity of the species. In addition, a multidimensional ellipsoid was constructed to describe the niche of each variety of ponderosa pine, and distances from the niche were calculated and mapped on a 4-km grid for each ecological variable. ResultsThe resulting classification tree identified three dominant pathways predicting ponderosa pine presence. Two of these three pathways correspond roughly to the distribution of var. ponderosa, and the third pathway generally corresponds to the distribution of var. scopulorum. The classification tree and minimum-volume ellipsoid model show that both varieties have very similar temperature limitations, although var. ponderosa is more limited by the temperature extremes of the continental interior. The precipitation limitations of the two varieties are seasonally different, with var. ponderosa requiring significant winter moisture and var. scopulorum requiring significant summer moisture. Great Basin mountain ranges are too cold at higher elevations to support either variety of ponderosa pine, and at lower elevations are too dry in summer for var. scopulorum and too dry in winter for var. ponderosa. Main conclusionsThe classification tree analysis indicates that var. ponderosa is ecologically as well as genetically distinct from var. scopulorum. Ecological

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“…He studied patterns of genetic variation in allozymes and seedling quantitative traits. Sorenson et al (2001) studied patterns of adaptive variation within and between two parapatric races of ponderosa pine (Pacific and North Plateau) in southern Oregon.…”

Section: Rotach In His Unpublished Doctoral Dissertation (Swiss Federmentioning

confidence: 99%

<i>Pinus ponderosa</i>: a taxonomic review with five subspecies in the United States

Callaham¹

2013

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Role of selection versus historical isolation in racial differentiation of ponderosa pine in southern Oregon: an investigation of alternative hypotheses

Cited by 5 publications

References 0 publications

Genecology ofHolodiscus discolor(Rosaceae) in the Pacific Northwest, U.S.A.

Genecology ofHolodiscus discolor(Rosaceae) in the Pacific Northwest, U.S.A.

Classification tree and minimum‐volume ellipsoid analyses of the distribution of ponderosa pine in the western USA

<i>Pinus ponderosa</i>: a taxonomic review with five subspecies in the United States

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