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Overview
Basics
Basics
This project takes an ecological and genetic approach to better understand the interaction of landscape characteristics (geology, climatic gradients, soil properties) and evolutionary processes (gene flow, selection) on ecologically important plant traits (water-use efficiency, disease resistance, phenology, and growth) of western white pine across the LTBMU, to determine the adaptive potential of this forest tree.
Completed
2008
2009
2016
$91,410
Pat Manley (pmanley@fs.fed.us)
10/27/2017
10/27/2017
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| Location Information | Location Notes |
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Organizations
EIP Details
EIP Basics
EIP Basics
04.01.01.0081 - P044: Ecological Genetics of Western White Pine (Pinus monticola) from the Lake Tahoe Basin
Performance Measures
Expected Performance Measures
Expected Performance Measures
No expected performance measures set for this project.
Reported Performance Measures
Reported Performance Measures
No annual performance measure accomplishments entered for this project.
Funding
Expected Funding
Expected Funding
$91,410
$91,410
$0
| Total | |||
|---|---|---|---|
| Southern Nevada Public Land Management Act (Pacific Southwest Research Station) (USFS - PSW) | $91,410 | $91,410 | $0 |
| Grand Total | $91,410 | $91,410 | $0 |
Reported Expenditures
Reported Expenditures
| Total | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | |
|---|---|---|---|---|---|---|---|---|---|---|
| Southern Nevada Public Land Management Act (Pacifi... | $91,410 | $10,157 | $10,157 | $10,157 | $10,157 | $10,157 | $10,157 | $10,156 | $10,156 | $10,156 |
| Grand Total | $91,410 | $10,157 | $10,157 | $10,157 | $10,157 | $10,157 | $10,157 | $10,156 | $10,156 | $10,156 |
Photos
Other Details
Watersheds
No watersheds set for this project.
Threshold Categories
-
Forest trees species are primary terrestrial ecosystem components and conservation of their genetic resources warrants special attention.
Local and Regional Plans
No Local and Regional Plans set for this project.
Related Projects
Related Projects
No Related Projects set for this project.
External Links
No external links entered.
Notes
Notes
| 07/17/2017 2:44 PM | Kiara Cuerpo-Hadsall | Objectives: Our objectives were to, (1) evaluate genetic variation for phenotypic traits related to growth, phenology, water-use efficiency, and patterns of resource allocation existing within and among populations of western white pine at a spatial scale of 1,300 km2, (2) determine the genetic structure and diversity of extant western white pine populations, and (3) identify interactions between soil and climatic factors that influence standing levels of genetic variation for western white pine. |
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| 07/17/2017 2:44 PM | Kiara Cuerpo-Hadsall | Findings: Phenotypic variation within and among populations: • Families (maternal trees) accounted for a significant portion of the observed phenotypic variance. As such, mean narrow-sense heritabilities (h2), estimated using global linear mixed models, were moderate to high (h2 = 0.1160 – 0.5898) for most traits. Environmental correlations with genetic variation: • Standing levels of genetic variation were structured spatially for western white pine, with geographic variables (PCNM axes) accounting for 21.30% of the observed genetic variance across all phenotypic traits. Genetic structure and diversity: • Genetic diversity measures (HO and HE) ranged from 0.231 to 0.259 and 0.245 to 0.272, respectively. *** See www.fs.fed.us/PSW/partnerships/tahoescience for additional findings. |
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| 07/17/2017 2:42 PM | Kiara Cuerpo-Hadsall | Management Implications: • We have shown that there is significant segregating genetic diversity for western white pine within the 1,300 km2 of the LTB. As shown by previous studies, it is this segregating genetic diversity that can allow rapid responses to novel selection pressures through re-assortment of adaptive alleles across loci determining a quantitative trait. • For western white pine this segregating genetic diversity appears to have been structured by natural selection in the past; hence, if change continues to occur in the environmental variables that were important selective forces in the past, it is reasonable to hypothesize that these traits will continue to be important components of biotic responses to ongoing and future changes. • Our results also emphasize the importance of considering comprehensive environmental datasets including both climate and soil when studying phenotypic variation and evolutionary potential, so that models constructed to understand future responses use appropriate environmental predictors of fitness-related genetic variation. • Our information provides a perspective on evolutionary potential in the face of ongoing environmental change, indicating that a more spatially nuanced view is needed for gene conservation activities within the LTB and potentially other regions with similarly complex landscapes, steep environmental gradients, and existing genetic diversity. |