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153 results for “growth traits”
Are leaf, stem and hydraulic traits good predictors of individual tree growth? (FUN2FUN project)
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Functional trait plasticity affects growth but not survival of understory herbs across a resource availability gradient
We investigate the effects of phenotypic plasticity in plant functional traits on the survival and growth of transplanted understory herbs.
Traits mediate a tradeoff in seedling growth response to light and conspecific density in a diverse subtropical forest
<p>Understanding tree species responses to biotic and abiotic factors is fundamental for stronger predictions of community assembly and dynamics. However, several challenges remain. These include a failure to investigate whether there is evidence for key hypothesized life-history tradeoffs and to link these tradeoffs to functional traits.</p> <p>In this study, we seek to explicitly address the above outstanding challenges by constructing models for individual seedling growth in response to abiotic and biotic factors using three years of seedling census data from a 20-ha subtropical forest dynamics plot in a diverse subtropical forest and correlated these responses with functional traits.</p> <p>We found that light and conspecific neighbours increase and decrease the relative growth rate of tree seedlings, respectively. We also found that the ability of a species to positively respond to canopy openness trades off against susceptibility to CNDD. This tradeoff was evident across seasons and could be predicted on functional trait - stem and leaf dry matter content.</p> <p><i>Synthesis</i>. Our findings indicate species that can grow quickly in high light environments also tend to suffer more conspecific negative density dependence. The results highlight strong evidence of a tradeoff relating to growth and defence widely hypothesized to be of importance in diverse tree communities and that this tradeoff occurs across seasons and can be linked to a commonly measured functional trait.</p>
Data from: Quantitative trait loci for growth and body size in the nine-spined stickleback Pungitius pungitius L.
Body size is an ecologically important trait shown to be genetically variable both within and among different animal populations as revealed by quantitative genetic studies. However, few studies have looked into underlying genetic architecture of body size variability in the wild using genetic mapping methods. With the aid of quantitative trait loci (QTL) analyses based on 226 microsatellite markers, we mapped body size and growth rate traits in the nine-spined stickleback (Pungitius pungitius) using an F2-intercross (n = 283 offspring) between size divergent populations. In total, 15 QTL locations were detected. The proportion of phenotypic variation explained by individual body size-related QTL ranged from 3% to 9%, and those related to growth parameters and increments from 3% to 7%. Several of the detected QTL affected either early or late growth. These results provide a solid starting point for more in depth investigations of structure and function of genomic regions involved in determination of body size in this popular model of ecological and evolutionary research.
Data from: On the link between functional traits and growth rate: meta-analysis shows effects change with plant size, as predicted
A plant's growth rate is seen as a central element of its ecological strategy, and as determined by its traits.Yet the literature is inconsistent about the empirical correlation between functional traits and growth, casting doubt on the capacity of some prominent traits to influence growth rate. We propose that traits should influence growth in a way that depends on the size of individual plants. We outline mechanisms and hypotheses based on new theoretical work, and test these predictions in tree species using a meta-analysis of 103 studies (> 500 correlations) for five traits (specific leaf area, wood density, maximum height, seed mass and maximum assimilation rate).We also recorded data for 14 other traits commonly used in the trait literature.To capture the effects of plant size, we tested for a shift in the direction of correlation between growth rates and each trait across three ontogenetic stages: seedling,sapling and adult. Results were consistent with predictions, although there were some limitations arising from unequal numbers of observation across ontogenetic stages.Specific leaf area was correlated with relative growth rate in seedlings but not in adult plants.Correlations of growth with wood density were not affected by ontogenetic stage. Seed mass, assimilation rate and maximum height were correlated with relative growth rate only in one ontogenetic stage category: seedlings,seedlings and adults,respectively. Although we were able to confirm several of our theoretical predictions,major knowledge gaps still exist in the trait literature.For example,for one third of the traits considered,the majority (> 75%) of reported correlations with growth came from the same ontogenetic stage. Synthesis: We show for some traits, how trait-growth correlations change in a predictable way with plant size.Our understanding of plant strategies should shift away from describing species as having a fixed growth strategy throughout their life (on a continuous axis from slow to fast growth), in favour of a size-dependent growth trajectories.
Data from: Linking intra-specific trait variation to community abundance dynamics improves ecological predictability by revealing a growth-defence trade-off
1.Intraspecific trait change, including altered behaviour or morphology, can drive temporal variation in inter-specific interactions and population dynamics. In turn, variation in species' interactions and densities can alter the strength and direction of trait change. The resulting feedback between species′ traits and abundance permits a wide range of community dynamics that would not be expected from ecological theories purely based on species abundances. Despite the theoretical importance of these interrelated processes, unambiguous experimental evidence of how intraspecific trait variation modifies species interactions and population dynamics and how this feeds back to influence trait variation is currently required. 2.We investigate the role of trait-mediated demography in determining community dynamics and examine how ecological interactions influence trait change. We concurrently monitored the dynamics of community abundances and individual traits in an experimental microbial predator-prey-resource system. Using this data, we parameterized a trait dependent community model to identify key ecologically relevant traits and to link trait dynamics with those of species abundances. 3.Our results provide clear evidence of a feedback between trait change, demographic rates and species dynamics. The inclusion of trait-abundance feedbacks into our population model improved the predictability of ecological dynamics from r-squared of 34% to 57% and confirmed theoretical expectations of density dependent population growth and species interactions in the system. 4.Additionally, our model revealed that the feedbacks were underpinned by a trade-off between population growth and anti-predatory defence. High predator abundance was linked to a reduction in prey body size. This prey size decrease was associated with a reduction in its rate of consumption by predators and a decrease in its resource consumption. 5.Modelling trait-abundance feedbacks allowed us to pinpoint the underlying life history trade-off which links trait and abundance dynamics. These results show that accounting for trait-abundance feedbacks has the potential to improve understanding and predictability of ecological dynamics.
Data from: A longitudinal analysis of the growth rate and mass of tail feathers in a great tit population: ontogeny, genetic effects and relationship between traits
<p class="MsoNoSpacing">Feathers have a diversity of functions in birds and are costly to produce, so their growth rate and mass can be reliable indicators of nutritional condition at the time of production. Despite the potential for feather metrics to advance our understanding of foraging, they are underused in avian ecology. One reason for this is the difficulty of interpreting whether individual variation is driven by ontogenetic, genetic, or environmental effects, which is exacerbated by the fact that most analyses have been done on cross-sectional data. We addressed this deficit using a longitudinal dataset of tail feathers collected from Great tits <em>Parus major</em> to test for ontogenetic and genetic effects on growth rate, mass and length, while controlling for body/feather size differences and other confounding factors. First, we found that the type of moult episode and experimentally-induced replacement differentially affected the length, mass and growth of feathers, providing evidence of an ontogenetic effect that should be considered when comparing these feather traits across individuals as a measure of condition. Second, we detected moderate to high repeatability and heritability values from parent-offspring regression for these three feather traits, which are suggestive of an underlying genetic component of variation. Third, we used a mean centring within-individual approach to test whether feather growth rate and feather mass (length-corrected) are indeed positively correlated with each other as overlapping indicators of body condition in birds, and found that this association, although positive, is weak and only significant between individuals. This suggests that both metrics are not so intimately linked as originally thought, and probably have different sensitivities to variation in foraging performance and ecological conditions. Together with the higher plasticity of feather growth rate compared to feather mass, our results support the idea that feather growth rate is better suited for examining short-term responses to environmental variation.</p>
Survival and growth data for tree species planted to reforest degraded tropical peat swamp forests and functional trait data for peat swamp forest species across Southeast Asia
<p>Degraded tropical peat swamp forests are harsh environments so difficult to restore. Evidence from past restoration projects can inform selection of species for planting. As part of a systematic review, we collated and synthesised survival and growth monitoring data on trees planted in degraded tropical peat swamp forests across Southeast Asia. A key aim of the systematic review and meta-analysis was to determine which tree species survive best when planted to restore tropical peat swamp forests. We also investigated the impact of seedling and site treatments and climatic conditions (El Niño-Southern Oscillation) on tree seedling survival and growth and the potential to use plant functional traits to predict survival and growth. </p> <p>Full methodological details of the systematic review, including: search strategy, article screening and inclusion criteria, critical appraisal of screened articles, data processing and data analysis can be found in the published article and supporting information stated below.</p> <p>Smith SW, Rahman NEB, Harrison ME, Shiodera S, Giesen W, Lampela M, Wardle DA, Chong KY, Randi A, Wijedasa LS, Teo PY, Fatimah, YA, Teng NT, Joanne YKQ, Alam MJ, Brugues Sintes P, Darusman T, Graham LLB, Katoppo DR, Kojima K, Kusin K, Lestari DP, Metali F, Morrogh-Bernard HC, Nahor MB, Napitupulu RRP, Nasir D, Nath TK, Nilus R, Norisada M, Rachmanadi D, Rachmat HH, Ripoll Capilla B, Salahuddin, Santosa PB, Sukri RS, Tay B, Tuah W, Wedeux, BMM, Yamanoshita T, Yokoyama EY, Yuwati TW, Lee JSH. Tree species that ‘live slow, die older’ enhance tropical peat swamp restoration: evidence from a systematic review. <em>Journal of Applied Ecology. </em>DOI:<a href="https://doi.org/10.1111/1365-2664.14232">10.1111/1365-2664.14232</a></p> <p>In this data repository, we have uploaded the following data used in the meta-analysis to generate the findings presented in the systematic review, specifically:</p> <ul> <li>Screening sheets of eligible articles across languages (English, Indonesian, Japanese and German) read in detailed by multiple authors on the review</li> <li>Survival monitoring data, including predicted half-life (duration until 50% mortality) derived from functional line-fitting</li> <li>Height monitoring data, including standardized relative growth rates (cm × cm<sup>-1 </sup>month<sup>-1</sup>) derived from functional line-fitting</li> <li>Plant functional traits, selected leaf nutrient contents and wood densities for those species used in the functional trait analyses</li> </ul> <p>Each data file has an associated meta-data file explaining the column headers and variables. Please note, data contributors from some studies wished to retain control over access to their monitoring data, but are willing to share this data on request. The relevant study-site code those studies used in the analyses in our systematic review can be found in the meta-data sheets. Details given include study-site code (used in the systematic review), site name and location, author name(s), author contact email(s). All these details have been provided with permission from relevant data contributor co-author(s). </p>
Figure 10 in Application Of Lichen Functional Traits In Identification Of Temperate Old-Growth Broad-Leaved Forests
Figure 10. Lichen spore type in old (oldgrowth), middle (middleaged) and young broadleaved forest stands.
Data from: Influence of a growth hormone transgene on the genetic architecture of growth-related traits: a comparative analysis between transgenic and wild-type coho salmon
Genetic engineering has been increasingly applied to many commercially important plant and animal species, generating phenotypic changes that are not observed in natural populations and creating genetic interactions that have not experienced natural selection. The degree to and way in which such human-induced genetic variation interacts with the rest of the genome is currently largely unknown. Integrating such information into ecological and risk assessment frameworks is crucial to understand the potential effects of genetically modified organisms in natural environments. Here, we performed QTL mapping to investigate the genetic architecture of growth-related traits in non-transgenic (NT) and growth hormone transgenic (T) coho salmon with large changes in growth and related physiology, with the aim of identifying how an inserted transgene might influence the opportunity for selection. These fish shared the same parental genetic background, thus allowing us to determine whether the same or different loci influence these traits within the two groups. The use of over 1700 loci, derived from Restriction site Associated DNA Sequencing, revealed that different genomic regions were linked with growth over time between the two groups. Additionally, the effect sizes of detected QTL appear to have been influenced by the transgene. Direct comparison of QTL between the T and NT fish during two size-matched periods identified little overlap in their location. Taken together, the results showed that the transgene altered the genetic basis of growth-related traits in this species. The study has important implications for effective conservation and management of wild populations experiencing introduction of transgenes. Evolutionary changes and their ecological consequences may occur at different rates and in different directions in NT versus T individuals in response to selection. Thus assessments of phenotypic change, and hence ecological risk, should be determined periodically to evaluate whether initial estimates made with founder strains remain valid.
Tree seedling trait optimization and growth in response to local-scale soil and light variability
At local scales, it has been suggested that high levels of resources lead to increased tree growth via trait optimization (highly peaked trait distribution). However, this contrasts with (i) theories that suggest that trait optimization and high growth occur in the most common resource level and (ii) empirical evidence showing that high trait optimization can be also found at low resource levels. This raises the question of how are traits and growth optimized in highly diverse plant communities? Here, we propose a series of hypotheses about how traits and growth are expected to be maximized under different resource levels (low, the most common, and high) in tree seedling communities from a subtropical forest in Puerto Rico. We studied the variation in the distribution of biomass allocation and leaf traits and seedlings growth rate along four resource gradients: light availability (canopy openness) and soil K, Mg, and N contents. Our analyses consisted of comparing community trait means, trait kurtosis (a measurement of trait optimization), and relative growth rates at three resource levels (low, common, and high). Trait optimization varied across the three resource levels depending on the type of resource and trait, with leaf traits being optimized under high N and in the most common K and Mg conditions, but not at any of the light levels. Also, seedling growth increased at high light conditions and high N and K but was not related to trait kurtosis. Our results indicate that local-scale variability of soil fertility and understory light conditions result in shifts in species ecological strategies that increase growth despite a weak trait optimization, suggesting the existence of alternative phenotypes that achieve similar high performance. Uncovering the links between abiotic factors, functional trait diversity and performance is necessary to better predict tree responses to future changes in abiotic conditions.
Data from: A longitudinal analysis of the growth rate and mass of tail feathers in a great tit population: ontogeny, genetic effects and relationship between traits
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Data from: Constraints on the evolution of function-valued traits: a study of growth in Tribolium castaneum
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Data from: Linking intra-specific trait variation to community abundance dynamics improves ecological predictability by revealing a growth-defence trade-off
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Data from: On the link between functional traits and growth rate: meta-analysis shows effects change with plant size, as predicted
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Data from: Extending the Growth Rate Hypothesis to species development: can stoichiometric traits help to explain the composition of macroinvertebrate communities?
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Traits mediate a tradeoff in seedling growth response to light and conspecific density in a diverse subtropical forest
Open the record for dataset details and reuse information.
Data from: Influence of a growth hormone transgene on the genetic architecture of growth-related traits: a comparative analysis between transgenic and wild-type coho salmon
Open the record for dataset details and reuse information.
Data from: Quantitative trait loci for growth and body size in the nine-spined stickleback Pungitius pungitius L.
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Data from: Evolution of invasive traits in nonindigenous species: increased survival and faster growth in invasive populations of rusty crayfish (Orconectes rusticus)
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