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15 results for “plant trait ecology”
Rethinking the fundamental unit of ecological remote sensing: Estimating individual level plant traits at scale
<p>derived data of leaf and plant structural traits for two National Ecological Observatory Network (NEON) Airborne Observatory Platform (AOP) sites. Dataset contains spatial explicit information for 4.5 million trees, and include: Nitrogen (%mass), Phosphorus (%mass), Leaf mass per area (g m<sup>-2</sup>), diameter at breast height (cm), crown area (m2), tree height (m) and other physical topographic variables (Albedo, Elevation, Slope, Aspect). data are associated to the </p>
Ecological and Forest Inventory of Catalonia: Complete Plant Trait Dataset for Imputation Assessment
<p>Plant trait and forest data were retrieved from the Ecological and Forest Inventory of Catalonia (IEFC), carried out between 1988 and 1998 (Gracia et al. 2000‒2004). The subset of the IEFC was limited to 13 study species. Forest structure, lithology and sampling information for each plot were retrieved from the IEFC database. Climate data were obtained from the Climatic Digital Atlas of Catalonia, with a spatial resolution of 180 m (Ninyerola et al. 2000).</p> <p>We selected five plant traits (leaf mass per area, LMA, mg cm<sup>-2</sup>; leaf nitrogen per unit mass, <em>N</em><sub><em>mass</em></sub>, %mass; maximum tree height, <em>H</em><sub><em>max</em></sub><em>,</em><sub><em> </em></sub>m; wood density, WD, gm cm<sup>-3</sup>; leaf biomass to sapwood area ratio, <em>B</em><sub><em>L</em></sub><em>:A</em><sub><em>S</em></sub>, t m<sup>-2</sup>) that are used to describe major plant functional strategies. The auxiliary variables we considered were species identity, a set of climatic variables (mean annual temperature, annual thermal amplitude, both in °C), a set of forest structure variables (total aboveground biomass [T ha<sup>-1</sup>] and stem density [stems ha<sup>-1</sup>]), a set of topographical variables (county, elevation [m.a.s.l.], slope [°] and aspect), lithology (calcareous, non-calcareous or undetermined) and sampling month.</p>
A direct comparison of ecological theories for predicting the relationship between plant traits and growth
<p>Despite long-standing theory for classifying plant ecological strategies, limited data directly links organismal traits to whole-plant growth rates. We compared trait-growth relationships based on three prominent theories: growth analysis, Grime's competitive-stress tolerant-ruderal (CSR) triangle, and the leaf economics spectrum (LES). Under these schemes, growth is hypothesized to be predicted by traits related to relative biomass investment, leaf structure or gas exchange, respectively. We also considered traits not included in these theories, but that might provide potential alternative best predictors of growth. In phylogenetic analyses of 30 diverse milkweeds (<em>Asclepias</em> spp.) and 21 morphological and physiological traits, growth rate (total biomass produced per day) varied 50-fold and was best predicted by biomass allocation to leaves (as predicted by growth analysis) and the CSR traits of leaf size and leaf dry matter content. Total leaf area and plant height were also excellent predictors of whole-plant growth rate. Despite two LES traits correlating with growth (mass-based leaf nitrogen and area-based leaf phosphorus contents), these were in the opposite direction predicted by LES, such that higher N and P contents corresponded to slower growth. The remaining LES traits (e.g., leaf gas exchange) were not predictive of plant growth rates. Overall, differences in growth rate were driven more by whole-plant characteristics such as biomass fractions and total leaf area than individual leaf-level traits such as photosynthetic rate or specific leaf area. Our results are most consistent with classical growth analysis - combining leaf traits with whole-plant allocation to best predict growth. However, given that destructive biomass measures are often not feasible, applying easy-to-measure leaf traits associated with the CSR classification appear more predictive of whole plant growth than LES traits. Testing the generality of this result across additional taxa would further improve our ability to predict whole-plant growth from functional traits across scales.</p>
Tackling local ecological homogeneity: Finding intraspecific trait variability in local populations of Mediterranean plants
<p>Local homogeneity, in ecology, is the often undisclosed assumption that variability within populations is negligible or mostly distributed evenly. In large areas, this can lead to the aggregation of different populations without regard for their unique needs and characteristics, such as drought sensitivity and functional traits distributions. Here we discuss whether this assumption can be justified, and we hypothesize that discerning the source of variation between plasticity and adaptation could be a feasible approach to formulate an informed decision. We test this hypothesis on plants, resorting to a common garden experiment to determine the source of variation of several plant functional traits at a local scale (~60 Km) of three wild species: <em>Quercus ilex</em>, <em>Pistacia lentiscus</em> and <em>Cistus salviifolius</em>. Individuals of each species were sourced from three key sites chosen along a local aridity gradient. Our approach led to the rejection of the local homogeneity assumption for <em>Q. ilex</em> and <em>C. salviifolius</em> at this scale due to the adaptive divergence observed among neighbouring populations. This case study provides evidence that addressing local homogeneity can highlight diverging populations in a relatively simple way. We conclude that gathering empirical evidence on intraspecific variability is a feasible approach that can provide researchers with solid bases to decide whether to adopt the local homogeneity assumption or not.</p>
Ecology and methodology of comparing traits and decomposition rates of green leaves versus senesced litter across plant species and types
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A direct comparison of ecological theories for predicting the relationship between plant traits and growth
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Tackling local ecological homogeneity: Finding intraspecific trait variability in local populations of Mediterranean plants
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Palma et al 2021 Plant functional traits reflect different dimensions of species invasiveness. Ecology. DATASET
<p>Dataset used in publication <em>Palma et al 2021 Plant functional traits reflect different dimensions of species invasiveness. Ecology.</em> It includes:</p> <p>(1) records of Vegetative height and Specific leaf area for 82 exotic species measured in to Victoria, Australia. The location where the plant samples were collected is also described. See tab 'Trait_field_collection'.</p> <p>(2) traits and other variables collected from the literature, including Seed mass, Longevity, Reproduction type, Seed morphology, Dispersion vector, Likely introduction pathway, Management. See tab 'Traits_literature'.</p> <p> </p>
Data from: Evolutionary consequences of ecological factors: pollinator reliability predicts mating-system traits of a perennial plant
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Data from: Implications of plant functional traits and drought survival strategies for ecological restoration
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Data from: The genetic architecture of a complex ecological trait: host plant use in the specialist moth, Heliothis subflexa
We used genetic mapping to examine the genetic architecture of differences in host plant use between two species of noctuid moths, Heliothis subflexa, a specialist on Physalis spp., and its close relative, the broad generalist H. virescens. We introgressed H. subflexa chromosomes into the H. virescens background and analyzed 1,462 backcross insects. The effects of H. subflexa-origin chromosomes were small when measured as the percent variation explained in backcross populations (0.2 to 5%), but were larger when considered in relation to the interspecific difference explained (1.5 to 165%). Most significant chromosomes had effects on more than one trait, and their effects varied between years, sexes, and genetic backgrounds. Different chromosomes could produce similar phenotypes, suggesting that the same trait might be controlled by different chromosomes in different backcross populations. It appears that many loci of small effect contribute to the use of Physalis by H. subflexa. We hypothesize that behavioral changes may have paved the way for physiological adaptation to Physalis by the generalist ancestor of H. subflexa and H. virescens.
Data from: Two dimensions define the variation of fine root traits across plant communities under the joint influence of ecological succession and annual mowing
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Data from: The genetic architecture of a complex ecological trait: host plant use in the specialist moth, Heliothis subflexa
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Data from: Effects of livestock grazing on soil, plant functional diversity and ecological traits vary between regions with different climate in northeastern Iran
Understanding the responses of vegetation characteristics and soil properties to grazing in different precipitation regimes is useful for the management of rangelands, especially in the arid regions. In northeastern Iran, we studied the responses of vegetation to livestock grazing in three regions with different climate: arid, semi-arid and sub-humid. In each region, we selected 6-7 pairwise sampling areas of high versus low grazing intensity and six traits of the present species were recorded on 1 m2 plots - 5 grazed and 5 ungrazed in each area. The overall fertility was compared using the dissimilarity analysis, linear mixed-effect models were used to compare the individual fertility parameters, functional diversity indices and species traits between the plots with high and low grazing intensity and between the climatic regions. Both climate and grazing, as well as their interaction, affected fertility parameters, functional diversity indices and the representation of species traits. Grazing reduced functional evenness, height of the community, the representation of annuals, but increased the community leaf area. In the sub-humid region, grazing also reduced functional richness. Further, grazing decreased the share of annual species in the semi-arid region and seed mass in the arid region. Larger leaf area and seed mass, smaller height and lower share of annuals were associated with intensive grazing. Species with large LA and seed mass, lower height and perennials can be therefore presumed to tolerate trampling and benefit from high nutrient levels, associated with intensive grazing. By providing a detailed view on the impacts of overgrazing, this study highlights the importance of protection from grazing as an effective management tool for maintaining the pastoral ecosystems. In general, the composition of plant traits across the pastures of northeastern Iran was more affected by intensive grazing compared to climate.
Data from: Effects of livestock grazing on soil, plant functional diversity and ecological traits vary between regions with different climate in northeastern Iran
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.