The effects of genetic diversity, climate and defoliation events on trembling aspen growth performance across Canada

Latutrie, Mathieu; Mérian, Pierre; Picq, Sandrine; Bergeron, Yves; Tremblay, Francine

doi:10.1007/s11295-015-0925-3

Cited by 18 publications

(27 citation statements)

References 58 publications

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“…Trembling aspen genetics have been increasingly studied over the last decade (Ally et al., ; Callahan et al., ; Latutrie et al., ; Mock, Rowe, Hooten, Dewoody, & Hipkins, ; Namroud, Tremblay, & Bergeron, ; Namroud, Park, et al., ), yet no studies have evaluated variation in genetic diversity and clonal structure at a continental scale. Our data revealed that the burn rate, CMI and landscape fragmentation have a significant influence on the genetic pattern of populations.…”

Section: Discussionmentioning

confidence: 99%

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Novel insights into the genetic diversity and clonal structure of natural trembling aspen (Populus tremuloidesMichx.) populations: A transcontinental study

Latutrie

Tóth

Bergeron

et al. 2019

Journal of Biogeography

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Aim Distribution‐wide trends in climate variability significantly influence the genetic diversity, differentiation and population structure of tree species. This study investigates the effects of disturbances such as fire, fragmentation and climate on modern‐day genetic patterns and clonal structures of trembling aspen at the transcontinental scale. Location North American boreal zone. Taxon Trembling aspen (Populus tremuloides Michx.). Methods One thousand two hundred individuals in a 30‐site network (40 trees per location) were genotyped with neutral genetic markers and studied in relation to regional differences in climate and surrounding site conditions (aridity, fire cycle, fragmentation). Multiple linear regression models and variance analysis were used to test relationships between genetic indices, structural parameters and the surrounding site factors. Results Overall, a high percentage of single ramet clones (SRC) and clonal diversity was detected and assumed to be the consequence of multiple sexual reproduction events that took place at all sites, together with suckering, which shapes the clonal structure of populations. Neutral genetic diversity and clonal structure suggested no substantial differences among sites, which were categorized into climate moisture index (CMI) classes; aspen stands across Canada were highly similar from a genetic point of view. Allelic richness (AR) and the average number of alleles (Na) varied significantly among clonal organization groups, and landscape fragmentation and a higher frequency of fires showed a negative influence on the levels of genetic diversity. Main conclusions Our results are inconsistent with the idea that the genotypic diversity of trembling aspen is related to the intensity of disturbance within the boreal forest. It appears that species‐specific disturbance responses and post‐fire recruitment mechanisms are more important than dominant ecological factors, such as climate and fire regimes, in shaping distribution‐wide patterns of neutral genetic variation and clonal structure.

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Section: Discussionmentioning

confidence: 99%

“…All live trees were counted for density (trees/ha) estimation, and population age was determined from increment cores as described in Latutrie et al. (). GPS coordinates were used to extract the relative position of each tree from the plot centre using ArcMap (ESRI, Redlands, CA) software.…”

Section: Methodsmentioning

confidence: 99%

Novel insights into the genetic diversity and clonal structure of natural trembling aspen (Populus tremuloidesMichx.) populations: A transcontinental study

Latutrie

Tóth

Bergeron

et al. 2019

Journal of Biogeography

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“…In addition, applying provincial or regional SI curves might not account for regional differences in growth. Growth factors not accounted for in the models include detailed soil attributes and extreme abiotic or biotic factors, including diseases, insects, and genetics [75]. Adding explanatory variables obtained from more detailed ecological surveys and laboratory analysis of soil and foliage might improve productivity predictions, but would involve increases in sampling costs and decreases in model effectiveness.…”

Section: Discussionmentioning

confidence: 99%

High Resolution Site Index Prediction in Boreal Forests Using Topographic and Wet Areas Mapping Attributes

Bjelanovic

Comeau

White

2018

Forests

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Abstract:The purpose of this study was to evaluate the relationships between environmental factors and the site index (SI) of trembling aspen, lodgepole pine, and white spruce based on the sampling of temporary sample plots. LiDAR generated digital elevation models (DEM) and wet areas mapping (WAM) provided data at a 1 m resolution for the study area in Alberta. Six different catchment areas (CA), ranging from 0.5 ha to 10 ha, were tested to reveal optimal CA for calculation of the depth-to-water (DTW) index from WAM. Using different modeling methods, species-specific SI models were developed for three datasets: (1) topographic and wet area variables derived from DEM and WAM, (2) only WAM variables, and (3) field measurements of soil and topography. DTW was selected by each statistical method for each species and, in most cases, DTW was the strongest predictor in the model. In addition, differences in strength of relationships were found between species. Models based on remotely-sensed information predicted SI with a root mean squared error (RMSE) of 1.6 m for aspen and lodgepole pine, and 2 m for white spruce. This approach appears to adequately portray the variation in productivity at a fine scale and is potentially applicable to forest growth and yield modeling and silviculture planning.

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“…In addition to tree species identity and diversity, genetic variation within a tree species (intraspecific variation), i.e. the identity2223 and diversity24 of tree genotypes, has been shown to significantly influence growth, performance and the responses of trees to different environmental parameters. Because of this, factors influenced by tree genotype, e.g.…”

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confidence: 99%

Tree species, tree genotypes and tree genotypic diversity levels affect microbe-mediated soil ecosystem functions in a subtropical forest

Purahong

Durka

Fischer

et al. 2016

Sci Rep

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Tree species identity and tree genotypes contribute to the shaping of soil microbial communities. However, knowledge about how these two factors influence soil ecosystem functions is still lacking. Furthermore, in forest ecosystems tree genotypes co-occur and interact with each other, thus the effects of tree genotypic diversity on soil ecosystem functions merit attention. Here we investigated the effects of tree species, tree genotypes and genotypic diversity levels, alongside soil physicochemical properties, on the overall and specific soil enzyme activity patterns. Our results indicate that tree species identity, tree genotypes and genotypic diversity level have significant influences on overall and specific soil enzyme activity patterns. These three factors influence soil enzyme patterns partly through effects on soil physicochemical properties and substrate quality. Variance partitioning showed that tree species identity, genotypic diversity level, pH and water content all together explained ~30% variations in the overall patterns of soil enzymes. However, we also found that the responses of soil ecosystem functions to tree genotypes and genotypic diversity are complex, being dependent on tree species identity and controlled by multiple factors. Our study highlights the important of inter- and intra-specific variations in tree species in shaping soil ecosystem functions in a subtropical forest.

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The effects of genetic diversity, climate and defoliation events on trembling aspen growth performance across Canada

Cited by 18 publications

References 58 publications

Novel insights into the genetic diversity and clonal structure of natural trembling aspen (Populus tremuloidesMichx.) populations: A transcontinental study

Novel insights into the genetic diversity and clonal structure of natural trembling aspen (Populus tremuloidesMichx.) populations: A transcontinental study

High Resolution Site Index Prediction in Boreal Forests Using Topographic and Wet Areas Mapping Attributes

Tree species, tree genotypes and tree genotypic diversity levels affect microbe-mediated soil ecosystem functions in a subtropical forest

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