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8 results for “tree seedling recruitment”
Probing the mechanisms by which sub-canopy evergreen shrubs inhibit tree seedling recruitment at the Coweeta Hydrologic Laboratory from 1999 to 2003
Two hundred 2x2 meter plots along transects and traversing 3 understory conditions; rhododendron, kalmia, open. Light conditions will be assessed for each plot and the extreme 50% will be used for experimentation. All plots will be planted to a combination of northern red oak, chestnut oak, red maple, and pitch pine. Inoculated (with mychorrizae) and non-inoculated seedlings will be planted in the plots. Relationships between performance and mychorrizal infection will be determined.
Data from: Masting increases seedling recruitment near and far: predator satiation and improved dispersal in a fleshy-fruited tree
<p><span>The animal dispersal hypothesis predicts that mast seeding can increase dispersal rate of seeds by dispersers and enhance reproductive success of plants. However, in contrast to pollination efficiency and predator satiation hypothesis, the animal dispersal hypothesis has received mixed support. </span></p> <p><span>Using 12-year data on fruit production and seedling recruitment of a fleshy-fruited tree rowan (<em>Sorbus aucuparia</em>, Rosaceae), we tested if an increase in the fruit production at the population level results in higher proportion of fruits recruiting into seedlings. Recruitment was recorded near (under rowans) and far (under heterospecifics) from conspecifics. Higher recruitment rates under rowans would support predator satiation hypothesis. Higher recruitment rates under heterospecific trees, where fruits can only arrive with animal assistance, would support animal dispersal hypothesis.</span></p> <p><span>High population-level fruit production increased the proportion of fruits recruiting into seedlings both near and far from rowans. In contrast, high individual-level fruit production did not have a positive effect on the proportion of fruits recruiting into seedlings. </span></p> <p><span>Synthesis. Population-level synchronization of fruit production is required to generate a more effective plant regeneration. Our findings show that masting enhances seedling recruitment through predator satiation and increased seed dispersal by frugivores. The results provide support for both animal dispersal and predator satiation hypotheses indicating that both mechanisms can operate simultaneously.</span></p>
Data from: Masting increases seedling recruitment near and far: predator satiation and improved dispersal in a fleshy-fruited tree
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Data from: Limitation of seedling growth by potassium and magnesium supply for two ectomycorrhizal tree species of a Central African rain forest and its implication for their recruitment
In the ectomycorrhizal caesalpiniaceous groves of southern Korup National Park, the dominant tree species, Microberlinia bisulcata, displays very poor in situ recruitment compared with its codominant, Tetraberlinia bifoliolata. The reported ex situ experiment tested whether availabilities of soil potassium and magnesium play a role. Seedlings of the two species received applications of K and Mg fertilizer in potted native soil in a local shade house, and their responses in terms of growth and nutrient concentrations were recorded over 2 years. Amended soil concentrations were also determined. Microberlinia responded strongly and positively in its growth to Mg, but less to K; Tetraberlinia responded weakly to both. Added Mg led to strongly increased Mg concentration for Microberlinia while added K changed that concentration only slightly; Tetraberlinia strongly increased its concentration of K with added K, but only somewhat its Mg concentration with added Mg. Additions of Mg and K had small but important antagonistic effects. Microberlinia is Mg-demanding and apparently Mg-limited in Korup soil; Tetraberlinia, whilst K-demanding, appeared not to be K-limited (for growth). Added K enhanced plant P concentrations of both species. Extra applied Mg may also be alleviating soil aluminum toxicity, and hence improving growth indirectly and especially to the benefit of Microberlinia. Mg appears to be essential for Microberlinia seedling growth and its low soil availability in grove soils at Korup may be an important contributing factor to its poor recruitment. Microberlinia is highly shade-intolerant and strongly light-responding, whilst Tetraberlinia is more shade-tolerant and moderately light-responding, which affords an interesting contrast with respect to their differing responses to Mg supply. The study revealed novel aspects of functional traits and likely niche-partitioning among ectomycorrhizal caesalps in African rain forests. Identifying the direct and interacting indirect effects of essential elements on tropical tree seedling growth presents a considerable challenge due the complex nexus of causes involved.
Data from: Multiple stages of tree seedling recruitment are altered in tropical forests degraded by selective logging
Tropical forest degradation is a global environmental issue. In degraded forests, seedling recruitment of canopy trees is vital for forest regeneration and recovery. We investigated how selective logging, a pervasive driver of tropical forest degradation, impacts canopy tree seedling recruitment, focusing on an endemic dipterocarp Dryobalanops lanceolata in Sabah, Borneo. During a mast-fruiting event in intensively logged and nearby unlogged forest, we examined four stages of the seedling recruitment process: seed production, seed predation, and negative density-dependent germination and seedling survival. Our results suggest that each stage of the seedling recruitment process is altered in logged forest. The seed crop of D. lanceolata trees in logged forest was one-third smaller than that produced by trees in unlogged forest. The functional role of vertebrates in seed predation increased in logged forest while that of non-vertebrates declined. Seeds in logged forest were less likely to germinate than those in unlogged forest. Germination increased with local-scale conspecific seed density in unlogged forest, but seedling survival tended to decline. However, both germination and seedling survival increased with local-scale conspecific seed density in logged forest. Notably, seed crop size, germination and seedling survival tended to increase for larger trees in both unlogged and logged forests, suggesting that sustainable timber extraction and silvicultural practices designed to minimize damage to the residual stand are important to prevent seedling recruitment failure. Overall, these impacts sustained by several aspects of seedling recruitment in a mast-fruiting year suggest that intensive selective logging may affect long-term population dynamics of D. lanceolata. It is necessary to establish if other dipterocarp species, many of which are threatened by the timber trade, are similarly affected in tropical forests degraded by intensive selective logging.
Data from: Multiple stages of tree seedling recruitment are altered in tropical forests degraded by selective logging
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Data from: Limitation of seedling growth by potassium and magnesium supply for two ectomycorrhizal tree species of a Central African rain forest and its implication for their recruitment
Open the record for dataset details and reuse information.
Multiple stages of tree seedling recruitment are altered in tropical forests degraded by selective logging
<b>Description: </b><p>Tree locations, tree size measurements, seed trap data, seed germination and seedling survival data</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/132"><b>The impact of logging on density-dependent predation and recruitment of dipterocarp seeds during a mast-fruiting year</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=221">here</a></p><p><b>Files: </b>This consists of 1 file: Pillay_R_et_al_Dryobalanops_lanceolata_AllData.xlsx</p><p><b>Pillay_R_et_al_Dryobalanops_lanceolata_AllData.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>TreeSize</b> (described in worksheet TreeSize)</p><p>Description: Size measurements of experimental trees</p><p>Number of fields: 8</p><p>Number of data rows: 13</p><p>Fields: </p><ul><li><b>ftype</b>: Forest Type (Field type: Categorical)</li><li><b>tree.id</b>: Unique ID of experimental trees (Field type: Location)</li><li><b>Species</b>: Species identity (Field type: Taxa)</li><li><b>dbh_cm</b>: Tree DBH (Field type: Numeric)</li><li><b>measured_height_m</b>: Measured tree height (Field type: Numeric)</li><li><b>researcher_height_m</b>: Researcher height (Field type: Numeric)</li><li><b>height_m</b>: Tree height (measured height + researcher height) (Field type: Numeric)</li><li><b>crown_diameter_m</b>: Tree crown diameter (Field type: Numeric)</li></ul></li><li><p><b>SeedfallTrapByDist</b> (described in worksheet SeedfallTrapByDist)</p><p>Description: Seed trap data</p><p>Number of fields: 9</p><p>Number of data rows: 312</p><p>Fields: </p><ul><li><b>ftype</b>: Forest Type (Field type: Categorical)</li><li><b>tree.id</b>: Unique ID of experimental trees (Field type: Location)</li><li><b>Species</b>: Species identity (Field type: Taxa)</li><li><b>transect</b>: Unique ID of transects around each experimental tree (Field type: ID)</li><li><b>bearing</b>: Transect compass bearing (Field type: Numeric)</li><li><b>trap</b>: Unique ID of seed traps along transects (Field type: ID)</li><li><b>distance</b>: Distance of seed trap along transect (Field type: Numeric)</li><li><b>PC1</b>: Principal Components Analysis variable used as a surrogate for tree size (Field type: Numeric)</li><li><b>seeds</b>: Total number of seeds that fell into each seed trap over the study period (Field type: Numeric)</li></ul></li><li><p><b>NaturalPlotsSingleRec-Seed</b> (described in worksheet NaturalPlotsSingleRec-Seed)</p><p>Description: Seed germination and seedling survival data in natural plots</p><p>Number of fields: 23</p><p>Number of data rows: 2069</p><p>Fields: </p><ul><li><b>FTYPE</b>: Forest Type (Field type: Categorical)</li><li><b>TREE.ID</b>: Unique ID of experimental trees (Field type: Location)</li><li><b>Species</b>: Species identity (Field type: Taxa)</li><li><b>TRANSECT</b>: Unique ID of transects around each experimental tree (Field type: ID)</li><li><b>BEARING</b>: Transect compass bearing (Field type: Numeric)</li><li><b>PLOT</b>: Unique ID of natural plots along transects (Field type: ID)</li><li><b>DISTANCE</b>: Distance of natural plot along transect (Field type: Numeric)</li><li><b>SEED.ID.FIELD</b>: Unique identification number assigned to each seed in the field (Field type: ID)</li><li><b>SEED.ID.ANALYSES</b>: For statistical analyses, a continuous numbering scheme was followed with respect to the unique identification number assiged to each seed. This facilitated calculating summary statistics and overall analyses. (Field type: ID)</li><li><b>START</b>: Date at which a seed entered the study (Field type: Date)</li><li><b>STOP</b>: Date at which a seed exited the study (i.e. died) (Field type: Date)</li><li><b>STAGE</b>: Survival stage a seed reached during the study (Field type: Categorical)</li><li><b>GERM</b>: Germination status coded as 0: germinated (right-censored) or 1: failed to germinate (i.e. died) (Field type: Numeric)</li><li><b>SURV</b>: Survival status coded as 0: survived beyond end of study (right-censored) or 1: died (Field type: Numeric)</li><li><b>AGE</b>: Age of a seed from the date it entered the study until the date it died (Field type: Numeric)</li><li><b>CANOPY.COV</b>: Proportion canopy cover available to each seed in a given natural plot (Field type: Numeric)</li><li><b>PC1</b>: Principal Components Analysis variable used as a surrogate for tree size (Field type: Numeric)</li><li><b>TOTAL.SEEDTRAP</b>: The total number of seeds around each focal tree as a measure of medium-scale seed density around focal trees. Obtained from seed trap data (Field type: Numeric)</li><li><b>TOTALDENS.SEEDTRAP</b>: TOTAL.SEEDTRAP divided by the number of 1 sq.m. traps (24) to obtain average seed density around each focal tree (Field type: Numeric)</li><li><b>CONSP.ALL</b>: The total number of conspecific seeds surrounding a given seed in a natural plot (Field type: Numeric)</li><li><b>CONSP.ALIVE</b>: The number of conspecific seeds that were alive at a census and surrounding a given seed in a natural plot. This variable was used as a measure of local-scale (1 sq. m.) conspecific seed/seedling density in survival analyses (Field type: Numeric)</li><li><b>AGENT.CATEGORY.MORTALITY</b>: Mortality agents. Seedlings that survived beyond the end of the study were coded as NA in this column (Field type: Categorical)</li><li><b>PREDATOR</b>: Description of the mortality agents of each seed/seedling. NA (for seedlings that survived) (Field type: Categorical)</li></ul></li><li><p><b>ExclosureSingleRec-Seed</b> (described in worksheet ExclosureSingleRec-Seed)</p><p>Description: Seedling survival data in experimental (exclosure) and control plots</p><p>Number of fields: 17</p><p>Number of data rows: 1540</p><p>Fields: </p><ul><li><b>FTYPE</b>: Forest Type (Field type: Categorical)</li><li><b>TREE.ID</b>: Unique ID of experimental trees (Field type: Location)</li><li><b>Species</b>: Species identity (Field type: Taxa)</li><li><b>TRANSECT</b>: Unique ID of transects around each experimental tree (Field type: ID)</li><li><b>BEARING</b>: Transect compass bearing (Field type: Numeric)</li><li><b>PLOT</b>: Unique ID of natural plots along transects (Field type: ID)</li><li><b>DISTANCE</b>: Distance of natural plot along transect (Field type: Numeric)</li><li><b>SEED.ID</b>: Unique ID assigned to each seed in the field at the time of seed addition (Field type: ID)</li><li><b>DENS.TRT</b>: Density of seeds added to each plot (Field type: Numeric)</li><li><b>TRT</b>: Treatment coded as primary (unlogged) excl, primary-ctrl, logged excl and logged ctrl (Field type: Categorical)</li><li><b>START</b>: Date at which a was added or entered the study (Field type: Date)</li><li><b>STOP</b>: Date at which a seed exited the study (i.e. died) (Field type: Date)</li><li><b>STAGE</b>: Survival stage a seed reached during the study (Field type: Categorical)</li><li><b>SURV</b>: Survival status coded as 0: survived beyond end of study (right-censored) or 1: died (Field type: Numeric)</li><li><b>AGE</b>: Age of a seed from the date it entered the study until the date it died (Field type: Numeric)</li><li><b>MORTALITY</b>: Mortality agents. Seedlings that survived beyond the end of the study were coded as NA in this column (Field type: Categorical)</li><li><b>PREDATOR</b>: Description of the mortality agents of each seed/seedling. NA (for seedlings that survived) (Field type: Categorical)</li></ul></li></ol><p><b>Date range: </b>2014-08-12 to 2014-11-04</p><p><b>Latitudinal extent: </b>4.6896 to 4.7505</p><p><b>Longitudinal extent: </b>116.9643 to 117.5824</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Plantae<br> - Tracheophyta<br> -  - Magnoliopsida<br> -  -  - Malvales<br> -  -  -  - Dipterocarpaceae<br> -  -  -  -  - <i>Dryobalanops</i><br> -  -  -  -  -  - <i>Dryobalanops lanceolata</i><br></div><p></p>
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