Interspecific and intraspecific variation in &lt;i&gt;Picea engelmannii&lt;/i&gt; and its congeneric cohorts: biosystematics, genecology, and climate change

Mountain, Rocky; Rehfeldt, Gerald E.

doi:10.2737/rmrs-gtr-134

Cited by 35 publications

(60 citation statements)

References 32 publications

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“…The conclusion drawn by many authors is that many North American tree species will experience range contraction at the trailing southern edges with little prospect of effective stochastic range expansion to the north (Barns, 2009;Iverson and Prasad, 1998;Iverson et al, 2008;Keenan et al, 2011;Ledig et al, 2010;Rehfeldt, 2004;Rehfeldt and Jaquish, 2010;Thomas, 2004;Thuiller, 2003). In the face of these conclusions, forest managers are challenged to choose the most appropriate management options for maintaining and enhancing productive forests.…”

Section: Introductionmentioning

confidence: 98%

“…An array of correlative niche modeling techniques (Elith and Leathwick, 2009;Hijmans and Elith, 2011;Pearson and Dawson, 2003) are now widely used to predict the contemporary realized niche of tree species and then to project the geographic redistribution of suitable habitat under future climate as a foundation for developing management strategies (Barns, 2009;Iverson and Prasad, 1998;Iverson et al, 2008;Keenan et al, 2011;Ledig et al, 2010;Rehfeldt, 2004;Rehfeldt and Jaquish, 2010;Thomas, 2004;Thuiller, 2003). The central premise of this approach is that the contemporary realized niche of a species provides the best available metric for projecting the future distribution of suitable habitat (Pearson, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…A robust approach to climatype classification involves the use of the confidence interval surrounding a population mean (Rehfeldt, 2004;Rehfeldt et al, 2004;Rehfeldt and Jaquish, 2010). The expectation being that all populations within this statistical space are relatively homogeneous genetically.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Climatic niche, ecological genetics, and impact of climate change on eastern white pine (Pinus strobus L.): Guidelines for land managers

Joyce

Rehfeldt

2013

Forest Ecology and Management

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a b s t r a c tApproximately, 123,500 forest inventory and ecological ground plots representing eastern North America were used to predict the contemporary distribution of eastern white pine (Pinus strobus L.) from climate. The random forests classification tree procedures produced an 8-variable algorithm that had an 8% overall error rate. Erroneous predictions of presence, or errors of commission, were 13%, while falsely predicting absence, or errors of omission were 1%. Climate-based multiple regression models were developed to describe patterns of genetic variation among 112 populations representing the range of P. strobus in Ontario, Canada east of Lake Superior. Degree days >5°C was the best predictor of variation in phenology and growth potential, with 5-year height providing the greatest resolution of inter-population variation (R 2 = 0.68). Cold hardiness in the fall was most closely associated with mean minimum temperature (R 2 = 0.26). Height growth data from four disparate provenance test series that together included a total of 354 provenances corroborated the range-wide applicability of the regional genetic models. Although variation in growth potential in the central Appalachian Mountains was most closely associated with mean minimum temperature, degree days >5°C remained the best predictor of range-wide variation in growth potential (R 2 = 0.41). The contemporary distribution and inter-population genetic variation were projected into future climates predicted by three General Circulation Models, two scenarios, and three time steps. All projections indicate early and sustained deterioration in the contemporary habitat. Concurrence among projections regarding the redistribution of suitable habitat to the north of the contemporary distribution identifies geographic locations with the highest probability of supporting vigorous stands of P. strobus. Concurrences among genetic projections clarify the intraspecific redistribution required to conserve adaptive variation. The projections have direct relevance in developing management strategies for accommodating the changing climate.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Climatic niche, ecological genetics, and impact of climate change on eastern white pine (Pinus strobus L.): Guidelines for land managers

Joyce

Rehfeldt

2013

Forest Ecology and Management

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“…In experiments with a hierarchical structure including populations (stands grouped by regions), subpopulations (stands within regions), and families of half-sibs (progenies of individual trees), genetic variances can be obtained in a very efficient manner from hundreds of seedlots in a relatively small area, and the responses related to climate and other factors of the place of seed origin. The results lend themselves to develop seed zones and rules for seed transfer (Morgenstern 1969, Beaulieu et al 2004, Rehfeldt 2004). …”

Section: Introductionmentioning

confidence: 99%

White spruce growth to age 44 in a provenance test at the Petawawa Research Forest

Morgenstern¹,

Penner²

2006

The Forestry Chronicle

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Twenty-five provenances of white spruce were planted in 1963 in 144-tree plots and three replications as part of a provenance test series for eastern Canada. The experiment was well maintained and thinned to 50% of its original stocking in 1986 (age 26 years from seed). Measurements at age 44 were subjected to analyses of variance and correlation and compared with height and survival at age 15. The results demonstrated that at age 15, identification of the best provenances is ineffective because of changes in rank and the late expression of survival differences. At age 44, significant differences among provenances were observed for survival, mean height, diameter, basal area, and volume. The greatest volume was produced by a provenance from Cushing in the Ottawa Valley in Quebec, 287 m 3 per ha, which was 11% greater than the volume of the local provenance, Chalk River, Ontario. When ranked on the basis of survival and volume, the best eight provenances included five from Quebec, and one each from New Brunswick, Ontario, and Wisconsin. The experiment shows that at the appropriate stage in a selection program, large plots can yield significant results, which has important implications for the design of experiments.

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“…Testing seedlings survival in the field, 5 years after planting, aimed at indicating the particular population and half-sib lines which are promising for the transfer into new habitats in conditions that are similar to the conditions prevailing in Drinić. The research done on the adaptive potential of tested populations and half-sib populations provides guidance to potential sources of reproductive materials which are able to withstand the impact of the environment and suitable for the transfer of reproductive material (Rehfeldt et al, 1999;Rehfeldt, 2004;O'Brien et al, 2007;Vitt et al 2010;Ukrainetz et al 2011). …”

Section: Data Collecting and Processing / Prikupljanje I Obrada Podatakamentioning

confidence: 99%

NORWAY SPRUCE (Picea abies (L.) Karst.) SEEDLINGS SURVIVAL IN PROGENY TEST “DRINIĆ”

Cvjetković¹,

Mataruga²,

Šijačić-Nikolić³

et al. 2017

GSFUBL

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This paper presents the results of survival in progeny tests in the Republic of Srpska (Bosnia and Herzegovina). Four progeny tests of Norway spruce on sites: Drinić, Derventa, Nevesine and Srebrenica were established on the territory of the Republic of Srpska in 2009. These progeny tests consist of six populations: Han Pijesak 1 and 2, Foča, Potoci, Olovo and Kneževo. The total number of half-sib lines was 36.In this paper, the data collected during 2014 were analyzed and they refer to the survival of Norway spruce seedlings in the progeny test in Drinić. The data were processed in order to determine which populations and half-sib lines are best adapted to ecological conditions of Drinić area.The results indicate a significant variability of survival among the tested populations and half-sib lines. They also indicate a higher adaptability of population originating from geographically more distant provenances from progeny test, in comparison with closer populations. The results can be used for the purpose of transferring the spruce reproductive material from Bosnia and Herzegovina to Drinić area, as well as the sites which are characterized by similar ecological conditions.

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Interspecific and intraspecific variation in <i>Picea engelmannii</i> and its congeneric cohorts: biosystematics, genecology, and climate change

Abstract: Rehfeldt, Gerald E. 2004. Interspecific and intraspecific variation in Picea engelmannii and its congeneric cohorts: biosystematics, genecology, and climate change.

Cited by 35 publications

References 32 publications

Climatic niche, ecological genetics, and impact of climate change on eastern white pine (Pinus strobus L.): Guidelines for land managers

Climatic niche, ecological genetics, and impact of climate change on eastern white pine (Pinus strobus L.): Guidelines for land managers

White spruce growth to age 44 in a provenance test at the Petawawa Research Forest

NORWAY SPRUCE (Picea abies (L.) Karst.) SEEDLINGS SURVIVAL IN PROGENY TEST “DRINIĆ”

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