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11 results for “Climbing plants”
Microspines in tropical climbing plants: a small-scale fix for life in an obstacle course
<p>This dataset is associated to the original research article "Microspines in tropical climbing plants: a small-scale fix for life in an obstacle course" published in the Journal of Experimental Botany. </p> <table> <tbody> <tr> <td>Variable</td> <td>Description</td> <td>Type of variable</td> <td>Units</td> </tr> <tr> <td>sample</td> <td>Sample identifiier</td> <td>Nominal Variable</td> <td> </td> </tr> <tr> <td>sp_code</td> <td>Species identifier</td> <td>Nominal Variable</td> <td> </td> </tr> <tr> <td>sp</td> <td>Species latin name</td> <td>Nominal Variable</td> <td> </td> </tr> <tr> <td>direction</td> <td>Friction test direction</td> <td>Categorical variable</td> <td> </td> </tr> <tr> <td>static_force</td> <td>Force needed to induce motion of the stem segment</td> <td>Continuous variable</td> <td>mN</td> </tr> <tr> <td>sliding_force</td> <td>Force needed to maintain the stem segment in motion</td> <td>Continuous variable</td> <td>mN</td> </tr> <tr> <td>sliding_dist</td> <td>Distance spanned by the stem segment during test</td> <td>Continuous variable</td> <td>mm</td> </tr> <tr> <td>nPeaks</td> <td>Number of force peaks detected during test</td> <td>Discrete variable</td> <td>mN</td> </tr> <tr> <td>peak_frequ</td> <td>Peak frequency during sliding (NPeaks/sliding_dist)</td> <td>Continuous variable</td> <td>peaks.mm<sup>-1</sup></td> </tr> <tr> <td>diam</td> <td>Diameter of the tested segment</td> <td>Continuous variable</td> <td>mm</td> </tr> </tbody> </table> <p> </p>
Vines and Climbing Plants of Puerto Rico and the Virgin Islands - Bejucos y plantas trepadoras de Puerto Rico e Islas Vírgenes: Vines
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Dataset 3 - Mathematical Modeling of Growth for Climbing Plants
<p>This dateset collects some models of climbing plants in the framework of the Task 3.4 of the Growbot project. In particular, it focuses on models describing the climbing plants' secondary growth, emphasizing such a behavior as an optimal way to allocate biomass and maximize climbing plants's reach.</p> <p>The models are described in the following preprints:</p> <table> <tbody> <tr> <td> <ol> <li><em>A 2D Model to describe the mechano-sensory behaviour of self-supporting shoots of climbing plants against gravity </em>(2023), G. Vecchiato; T. Hattermann; M. Palladino; P. Heuret; N. P. Rowe; P. Marcati, <strong>submitted preprint</strong></li> <li><em>Searcher-Shoot: a Reinforcement Learning approach to understand climbing plant behaviour</em> (2023), L. Nasti; G. Vecchiato; T. Hattermann; P. Heuret; N. P. Rowe; M. Palladino; P. Marcati, <strong>preprint</strong></li> <li><em>An optimal control approach to the problem of the longest self-supporting structure</em> (2023), G. Vecchiato; M. Palladino; P. Marcati, <strong>submitted preprint</strong></li> <li><em>Modeling intertwining of growing shoots</em> (2023), O. Giannopoulou; G. Vecchiato; M. Palladino; M. Thielen; T. Speck; P. Marcati, <strong>preprint</strong></li> </ol> </td> </tr> </tbody> </table>
[DATASET 1] - BIOMECHANICAL CHARACTERIZATION OF SELECTED CLIMBING PLANTS
<p>In the framework of GrowBot project, Task 3.1 aims at selecting and investigating different climbing plants as models for GrowBot artefacts. The activities consist of biomechanical investigation and the analysis of plants’ functional strategies with respect to environmental complexity in terms of size, shape, density of supports, clutter and presence of voids.</p> <p>Task 3.3 aims at selecting and investigating different climbing plants’ attachment strategies for inspiring the design and development of artificial solutions.</p> <p>DS1 aims at collecting all the experimental data gathered during these activities.</p>
Climbing route development affects cliff vascular plants more than subsequent climbing: A guide to evidence-based conservation management to regulate climbing
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Contrasting impacts of climbing plants on host tree reproduction in a drought-stressed forest
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Virginia Coast Reserve site, station Randomly selected, destructively sampled, non-treated plots at Frank Day Well Location R2, Hog Island, study of plant biomass of Mikania scandens (climbing hempvine) in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Virginia Coast Reserve (VCR) contains plant biomass of Mikania scandens (climbing hempvine) measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Mind the Gap: Reach and Mechanical Diversity of Searcher Shoots in Climbing Plants
<p>This dataframe corresponds to the article Hattermann et al. "Mind the Gap: Reach and Mechanical Diversity of Searcher Shoots in Climbing Plants"</p> <table> <tbody> <tr> <td>Variable Abbreviation</td> <td>Description of the variable</td> <td>Type of variable</td> <td>Units</td> </tr> <tr> <td>ID</td> <td>Sample identification label at the shoot level</td> <td>Nominal variable</td> <td> </td> </tr> <tr> <td>Taxa</td> <td>Species name</td> <td>Nominal variable</td> <td> </td> </tr> <tr> <td>family</td> <td>Family name</td> <td>Nominal variable</td> <td> </td> </tr> <tr> <td>ds</td> <td>Biomes where shoots have been sampled - "temperate" corresponds to Montpellier, south of France and tropical corresponds to Sinnamary, French Guiana </td> <td>Nominal variable</td> <td> </td> </tr> <tr> <td>Leaf_expanded</td> <td>Indicates whether a shoot has been considered with at least one expanded leaf (1) or with no leaves (0)</td> <td>Discrete variable</td> <td> </td> </tr> <tr> <td>Group</td> <td>Functional group based on the climbing habit at the species level</td> <td>Nominal variable</td> <td> </td> </tr> <tr> <td>reach</td> <td>Distance in a straight line from the base to the apex of the searcher shoot (here called the “reach”)</td> <td>Continuous variable</td> <td>cm</td> </tr> <tr> <td>length</td> <td>Length of the searcher shoot</td> <td>Continuous variable</td> <td>cm</td> </tr> <tr> <td>A1_diam_basal</td> <td>Basal diameter of the searcher shoot (measured at the base of the searcher shoot)</td> <td>Continuous variable</td> <td>mm</td> </tr> <tr> <td>N_leaves</td> <td>Number of leaves</td> <td>Discrete variable</td> <td> </td> </tr> <tr> <td>seco_mom_I</td> <td>Second moment of area (I) of the measured basal segment (in 4-point bending) of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>young_mod_E</td> <td>Structural Young's modulus (E) of the measured basal segment (in 4-point bending) of the searcher shoot from I and EI</td> <td>Continuous variable</td> <td>MN.m-2</td> </tr> <tr> <td>flex_rig_EI</td> <td>Flexural bending rigidity (EI) of the measured basal segment (in 4-point bending) of the searcher shoot</td> <td>Continuous variable</td> <td>N.mm^2</td> </tr> <tr> <td>total_freshmass</td> <td>Freshmass of the searcher shoot (including stems, laminas and petioles)</td> <td>Continuous variable</td> <td>g</td> </tr> <tr> <td>lam_freshmass</td> <td>Lamina freshmass borne by the searcher shoot</td> <td>Continuous variable</td> <td>g</td> </tr> <tr> <td>total_drymass</td> <td>Total drymass of the searcher shoot (including stems, laminas and petioles)</td> <td>Continuous variable</td> <td>g</td> </tr> <tr> <td>lam_drymass</td> <td>Lamina drymass borne by the searcher shoot</td> <td>Continuous variable</td> <td>g</td> </tr> <tr> <td>lam_area</td> <td>Lamina fresh area of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Pith</td> <td>Medullary parenchyma cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Pith_fibers</td> <td>Medullary fibre cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Xylem</td> <td>Xylem vessel and fibres cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Xylem_ray</td> <td>Xylem parenchymatous ray cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Phloem</td> <td>Phloem cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Cortex</td> <td>Cortical parenchyma cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Sclereids</td> <td>Cortical sclereids cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Cort_fibers</td> <td>Cortical fibre cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Collenchyma</td> <td>Collenchyma cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>A_Periderm</td> <td>Periderm cross-sectional area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^2</td> </tr> <tr> <td>I_Pith</td> <td>Medullary parenchyma second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>I_Pith_fibers</td> <td>Medullary fibre second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>I_Xylem</td> <td>Xylem vessel and fibres second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>I_Xylem_ray</td> <td>Xylem parenchymatous ray second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>I_Phloem</td> <td>Phloem second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>I_Cortex</td> <td>Cortical parenchyma second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>I_Cort_fibers</td> <td>Cortical sclereid second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>I_Sclerites</td> <td>Cortical fibre second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>I_Collenchyma</td> <td>Collenchyma second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> <tr> <td>I_Periderm</td> <td>Periderm second moment of area at the base of the searcher shoot</td> <td>Continuous variable</td> <td>mm^4</td> </tr> </tbody> </table>
FIGURE 2. Polystemma leopardum A. Habitat. B. Plant climbing. C in A new species of Polystemma (Apocynaceae, Asclepiadoideae, Asclepiadeae, Gonolobineae) from the state of Oaxaca, Mexico
FIGURE 2. Polystemma leopardum A. Habitat. B. Plant climbing. C. Detail of suberous stem. D. Leaves and flowers. E. Top view of flower and bud. F. Lateral view of flower. G. Gynostegium and gynostegial corona. H. Fruit. Photograph credits A–F Abisaí García-Mendoza, G–H Abigail López Santiago.
Data from: Consequences of swamp forest fragmentation on assemblages of vascular epiphytes and climbing plants: evaluation of the metacommunity structure
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Autonomously Shaping Natural Climbing Plants: A Bio-hybrid Approach
<p>Plant shaping experiments data.</p>
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