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Landscape Genomics in Tree Conservation Under a Changing Environment
by
Feng, Li
, Du, Fang K.
in
Adaptation
/ changing environment
/ Changing environments
/ Climate change
/ Conservation
/ Datasets
/ Ecology
/ Environmental changes
/ Gene flow
/ Gene frequency
/ Genetic diversity
/ Genomes
/ Genomics
/ Genotype & phenotype
/ genotype-environment associations (GEAs)
/ landscape genomics
/ Landscape preservation
/ local adaptation
/ Methods
/ Molecular modelling
/ Plant Science
/ Plant species
/ Population
/ Quantitative genetics
/ Software
/ Species
/ tree conservation
/ Trees
2022
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Landscape Genomics in Tree Conservation Under a Changing Environment
by
Feng, Li
, Du, Fang K.
in
Adaptation
/ changing environment
/ Changing environments
/ Climate change
/ Conservation
/ Datasets
/ Ecology
/ Environmental changes
/ Gene flow
/ Gene frequency
/ Genetic diversity
/ Genomes
/ Genomics
/ Genotype & phenotype
/ genotype-environment associations (GEAs)
/ landscape genomics
/ Landscape preservation
/ local adaptation
/ Methods
/ Molecular modelling
/ Plant Science
/ Plant species
/ Population
/ Quantitative genetics
/ Software
/ Species
/ tree conservation
/ Trees
2022
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Do you wish to request the book?
Landscape Genomics in Tree Conservation Under a Changing Environment
by
Feng, Li
, Du, Fang K.
in
Adaptation
/ changing environment
/ Changing environments
/ Climate change
/ Conservation
/ Datasets
/ Ecology
/ Environmental changes
/ Gene flow
/ Gene frequency
/ Genetic diversity
/ Genomes
/ Genomics
/ Genotype & phenotype
/ genotype-environment associations (GEAs)
/ landscape genomics
/ Landscape preservation
/ local adaptation
/ Methods
/ Molecular modelling
/ Plant Science
/ Plant species
/ Population
/ Quantitative genetics
/ Software
/ Species
/ tree conservation
/ Trees
2022
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Landscape Genomics in Tree Conservation Under a Changing Environment
Journal Article
Landscape Genomics in Tree Conservation Under a Changing Environment
2022
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Overview
Understanding the genetic basis of how species respond to changing environments is essential to the conservation of species. However, the molecular mechanisms of adaptation remain largely unknown for long-lived tree species which always have large population sizes, long generation time, and extensive gene flow. Recent advances in landscape genomics can reveal the signals of adaptive selection linking genetic variations and landscape characteristics and therefore have created novel insights into tree conservation strategies. In this review article, we first summarized the methods of landscape genomics used in tree conservation and elucidated the advantages and disadvantages of these methods. We then highlighted the newly developed method “Risk of Non-adaptedness,” which can predict the genetic offset or genomic vulnerability of species via allele frequency change under multiple scenarios of climate change. Finally, we provided prospects concerning how our introduced approaches of landscape genomics can assist policymaking and improve the existing conservation strategies for tree species under the ongoing global changes.
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