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37 results for “Seedling recruitment”
Data from: Seedling recruitment in subalpine grassland forbs: predicting field regeneration behaviour from lab germination responses
Environmental cueing that restricts seed germination onto times and places where mortality risk is relatively low may have considerable selective advantage. The predictive power of lab germination responses for field regeneration behaviour is rarely tested. We screened 11 alpine grassland forbs for germination behaviours predictive of microsite and seasonal selectivity, and seed carry-over across years. The predictions were tested in a field experiment. Germination in the lab ranged from 0.05% to 67.9%, and was affected by light (5 species), temperature (6), fluctuating temperatures (4), moist chilling prior to germination (cold-stratification) (6), and dormancy-breaking by means of gibberellic acid (8). Seedling emergence in the field varied from 0.1% to 14.1%, and increased in low-competition microsites (bare-ground gaps and cut vegetation; 7 species), and showed seasonal timing (1 in autumn and 1 in spring), and seed carry-over across years (7). Lab germination responses successfully predicted microsite selectivity in the field and to some extent seed carry-over across years but not seasonal timing of germination. Gap-detecting species were generally small-seeded, low-growing, and found in unproductive habitats. Larger-seeded species germinated in all microsites but experienced increased mortality in high-competition microsites. Seed carry-over across years was lower in alpine specialists than in more widely-distributed species.
Improving dryland seedling recruitment using fungicide seed coatings
<p>The success of seed-based restoration in dryland regions of the world is often low or sporadic, with most mortality occurring between germination and emergence. Fungal pathogenesis is one process that may reduce seedling emergence and limit restoration success.</p> <p>Our objective was to determine whether fungicide seed coatings constitute an economically viable strategy for increasing emergence by reducing fungal pathogenesis and mortality.</p> <p>We performed an experiment across two sites and three years, using bluebunch wheatgrass (Pseudoroegneria spicata) as a model species. We found that fungicide coatings increased germination by 8.8% and emergence by 54.0% on average compared to the control. A cost analysis indicated that the fungicide coating was economically viable with an average estimated effective cost reduction of 18.8% under the study conditions.</p> <p>There was a strong interaction (P < 0.001) between the effects of the fungicide coating, site, and year on emergence. The fungicide coating increased emergence compared to the control in five of the six sites and years, with the effect ranging from a 33.7% decrease (P = 0.042) to a 150.9% increase (P = 0.004).</p> <p>The observed interaction was likely related to the effect of the hydrothermal microsite environment on disease severity. In the site and year that the fungicide coating performed worse than the control, prolonged periods of exceptionally low soil moisture may have reduced disease severity through a variety of individual and community scale mechanisms.</p> <p>Overall, these results indicate that fungicide seed coatings have the potential to improve dryland restoration efforts.</p>
Data from: Seedling recruitment in subalpine grassland forbs: predicting field regeneration behaviour from lab germination responses
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Improving dryland seedling recruitment using fungicide seed coatings
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Data from: Using seedling and pericarp tissues to determine maternal parentage of dispersed valley oak recruits
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Herbivores reduce seedling recruitment in alpine plant communities
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Data from: Seed and seedling traits suggest ontogenetic coordination in the functional recruitment niche for dryland restoration species
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Data from: The interplay among acorn abundance and rodent behavior drives the spatial pattern of seedling recruitment in mature Mediterranean oak forests
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Data from: The value of trophic interactions for ecosystem function: dung beetle communities influence seed burial and seedling recruitment in tropical forests
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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
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Long-term noise pollution affects seedling recruitment, community composition, and negative effects persist after removal
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Experimental seed sowing reveals seedling recruitment vulnerability to unseasonal fire
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Data from: Increased soil temperature and decreased precipitation during early plant life stages constrain grass seedling recruitment in cold desert restoration
1. Seed-based restoration is one of the most difficult challenges for dryland restoration. Identifying environmental conditions that drive variation in seed and seedling mortality across similar restoration efforts could increase understanding of when and where restoration outcomes are likely to be favorable and identify new tools and strategies to improve outcomes. 2. We asked how variation in a suite of environmental predictors influenced germination, emergence, seedling establishment, and juvenile survival of four commonly sown perennial grass species across 33 seeding experiments distributed over a ~160,000-km2 area of the Great Basin, a cold desert system in the western United States. 3. Across experiments, we observed wide variation in the rates of four demographic transitions and wide variation in environmental conditions experienced by plants at each stage. For all species, higher precipitation during the first 30 days following seeding was associated with an increase in germination. Conversely, higher soil temperature over this same time period was associated with a significant decrease in germination and emergence and soil temperature was associated with a substantial portion of the variation in germination and emergence probabilities observed across our seeding experiments. 4. Within the range of precipitation variation observed, we were unable to detect a significant relationship between seedling establishment the first growing season and cumulative precipitation the first year, precipitation during the first spring growing season, or annual climatic water deficit (CWD) the first year. Higher CWD the second growing season reduced seedling survival over that time period. 5. Synthesis and application. Our results show higher soil temperature negatively impacts grass seedling recruitment. Our results can be combined with seasonal and subseasonal temperature forecasts to improve restoration decision-making. These results also suggest climate warming will make restoration even more difficult, with our model estimates suggesting the 2°C increase in temperature expected in the Great Basin over the coming decades will decease germination and emergence by about 30%. Lastly, while our field-based approach provided insight into short-term drivers of mortality, it did not provide insight into drivers of longer-term survival, suggesting a need to develop process-based approaches for predicting long-term restoration outcomes.29-Aug-2019
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>
Data from: Increased soil temperature and decreased precipitation during early life stages constrain grass seedling recruitment in cold desert restoration
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Unraveling the roles of various ecological factors in seedling recruitment to facilitate plant regeneration
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