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3,105 results for “Vegetation =”
FIGURE 5 in A revision of Mezoneuron (Leguminosae: Caesalpinioideae) in New Caledonia, with perspectives on vegetation, geology, and conservation
FIGURE 5. Distribution of M. montrouzieri
FIGURE 4 in A revision of Mezoneuron (Leguminosae: Caesalpinioideae) in New Caledonia, with perspectives on vegetation, geology, and conservation
FIGURE 4. Distribution of M. baudouinii
FIGURE 9. M in A revision of Mezoneuron (Leguminosae: Caesalpinioideae) in New Caledonia, with perspectives on vegetation, geology, and conservation
FIGURE 9. M. schlechteri: 9a. flower; 9b. inflorescence (Clark, R.P. 132)
FIGURE 8 in A revision of Mezoneuron (Leguminosae: Caesalpinioideae) in New Caledonia, with perspectives on vegetation, geology, and conservation
FIGURE 8. Distribution of M. rubiginosum
FIGURE 10 in A revision of Mezoneuron (Leguminosae: Caesalpinioideae) in New Caledonia, with perspectives on vegetation, geology, and conservation
FIGURE 10. Distribution of M. schlechteri
Data for JGR - Drought Differently Impacts Vegetation Activity According to the Bedrock Types and Sub-seasons
<p>For peer review purposes only</p>
Assessing the elevational synchronization in vegetation phenology across Northern Hemisphere mountain ecosystems under global warming
<p>The data and code supporting the results in this paper is provided.</p>
Dataset and Related Code for Vegetation Productivity Research on the Loess Plateau
Open the record for dataset details and reuse information.
Drag force on submerged flexible vegetation in an open-channel flow
Open the record for dataset details and reuse information.
Figure 1 in Importance of riparian vegetation and wood-pastures in the maintenance of bat assemblages in a highly fragmented landscape in Veracruz, Mexico
Figure 1: Location of the study site on the coast of the Gulf of Mexico.
Table ¹: Comparison of analysis of variance results for skull (occlusal view) and mandible (side view) shape in Rhipidomys mastacalis from three vegetation classes in Brazil. Object asymmetry and correspondence methods were employed to assess asymmetry for skulls and mandibles, respectively. in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
<p><b>Table ¹:</b> Comparison of analysis of variance results for skull (occlusal view) and mandible (side view) shape in <i>Rhipidomys mastacalis</i> from three vegetation classes in Brazil.Object asymmetry and correspondence methods were employed to assess asymmetry for skulls and mandibles,respectively.</p><table><tbody><tr><th><b>Shape procrustes ANOVA</b></th></tr></tbody><tbody><tr><th><b>Effect Sum of squares</b></th><td><b>Mean squares</b></td><td><b>Degrees of freedom</b></td><td><i>F statistic</i></td><td><i>p -Value</i></td><td><b>Pillai tr.</b></td><td><i>p -Value</i></td></tr><tr><th><b>Skulls</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.19908517</td><td>0.0004253957</td><td>468</td><td>22.36</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.00366522</td><td>0.0002036232</td><td>18</td><td>10.70</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.00890443</td><td>0.0000190266</td><td>468</td><td>2.24</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.00825565</td><td>0.0000084935</td><td>972</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.37829478</td><td>0.0003965354</td><td>954</td><td>18.57</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.00547536</td><td>0.0003041869</td><td>18</td><td>14.25</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.02037065</td><td>0.0000213529</td><td>954</td><td>1.89</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.02201359</td><td>0.0000113239</td><td>1944</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.0645902300</td><td>0.0001302222</td><td>496</td><td>5.18</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.0113531900</td><td>0.0007095741</td><td>16</td><td>28.23</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.0124666800</td><td>0.0000251344</td><td>496</td><td>1.88</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.0136608800</td><td>0.0000133407</td><td>1024</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Mandibles</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.70443879</td><td>0.0012579264</td><td>560</td><td>8.10</td><td><0.0001</td><td>14.16</td><td><0.0001</td></tr><tr><th>Side</th><td>0.00549957</td><td>0.0002749783</td><td>20</td><td>1.77</td><td>0.0207</td><td>0.0207</td><td>0.0069</td></tr><tr><th>Individual × side</th><td>0.08696012</td><td>0.0001552859</td><td>560</td><td>2.46</td><td><0.0001</td><td>10.75</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.07312665</td><td>0.0000387718</td><td>1160</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>1.19843989</td><td>0.0011984399</td><td>1000</td><td>8.16</td><td><0.0001</td><td>14.70</td><td><0.0001</td></tr><tr><th>Side</th><td>0.01169771</td><td>0.0005848855</td><td>20</td><td>3.98</td><td><0.0001</td><td>0.74</td><td>0.0001</td></tr><tr><th>Individual × side</th><td>0.14685738</td><td>0.0001468574</td><td>1000</td><td>3.03</td><td><0.0001</td><td>11.21</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.09880745</td><td>0.0000484350</td><td>2040</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.3269927600</td><td>0.0004808717</td><td>680</td><td>4.52</td><td><0.0001</td><td>14.14</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0143644400</td><td>0.0007182221</td><td>20</td><td>6.75</td><td><0.0001</td><td>0.86</td><td>0.0017</td></tr><tr><th>Individual × side</th><td>0.0723474900</td><td>0.0001063934</td><td>680</td><td>2.39</td><td><0.0001</td><td>10.41</td><td>0.0017</td></tr><tr><th>Error 1</th><td>0.0622041800</td><td>0.0000444316</td><td>1400</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table>
Table ²: Comparison of the results of analysis of variance on the shape of scapulae (occlusal view) and pelvis (side view) in Rhipidomys mastacalis from three vegetation classes in Brazil. Correspondence asymmetry was the only method used for asymmetry analysis. in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
<p><b>Table ²:</b> Comparison of the results of analysis of variance on the shape of scapulae (occlusal view) and pelvis (side view) in <i>Rhipidomys mastacalis</i> from three vegetation classes in Brazil. Correspondence asymmetry was the only method used for asymmetry analysis.</p><table><tbody><tr><th><b>Shape procrustes ANOVA</b></th></tr></tbody><tbody><tr><th><b>Effect Sum of squares</b></th><td><b>Mean squares</b></td><td><b>Degrees of freedom</b></td><td><i>F statistic</i></td><td><i>p -Value</i></td><td><b>Pillai tr.</b></td><td><i>p -Value</i></td></tr><tr><th><b>Scapulae</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.0941373400</td><td>0.0010459705</td><td>90</td><td>3</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.0100439600</td><td>0.0010043960</td><td>2.88</td><td>0.0037</td><td>0.0003</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.0314069500</td><td>0.0003489662</td><td>90</td><td>5.89</td><td><0.0001</td><td>4.91</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0118544100</td><td>0.0000592721</td><td>200</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.2064168200</td><td>0.0010320841</td><td>200</td><td>4.82</td><td><0.0001</td><td>7.15</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0262808000</td><td>0.0026280796</td><td>10</td><td>12.28</td><td><0.0001</td><td>0.86</td><td>0.0022</td></tr><tr><th>Individual × side</th><td>0.0428160400</td><td>0.0002140802</td><td>200</td><td>2.68</td><td><0.0001</td><td>4.98</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0335675700</td><td>0.0000799228</td><td>420</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.2508635400</td><td>0.0009291242</td><td>270</td><td>4.07</td><td><0.0001</td><td>7.11</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0256608100</td><td>0.0025660812</td><td>10</td><td>11.24</td><td><0.0001</td><td>0.87</td><td><0.0001</td></tr><tr><th>Individual × side</th><td>0.0616394000</td><td>0.0002282941</td><td>270</td><td>3.10</td><td><0.0001</td><td>5.72</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0412323300</td><td>0.0000736292</td><td>560</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Pelvis</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.0543411200</td><td>0.0004312787</td><td>126</td><td>4.63</td><td><0.0001</td><td></td><td></td></tr><tr><th>Side</th><td>0.0043155600</td><td>0.0003082544</td><td>14</td><td>3.31</td><td>0.0002</td><td></td><td></td></tr><tr><th>Individual × side</th><td>0.0117297800</td><td>0.0000930935</td><td>126</td><td>2.31</td><td><0.0001</td><td>6.07</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0112943700</td><td>0.000040337</td><td>280</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.1059661700</td><td>0.0003440460</td><td>308</td><td>4.42</td><td><0.0001</td><td>9.69</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0049395300</td><td>0.0003528236</td><td>14</td><td>4.53</td><td><0.0001</td><td>0.85</td><td>0.0311</td></tr><tr><th>Individual × side</th><td>0.0239852500</td><td>0.0000778742</td><td>308</td><td>2.00</td><td><0.0001</td><td>6.64</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0251368400</td><td>0.0000390324</td><td>644</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.1292837500</td><td>0.0003420205</td><td>378</td><td>5.68</td><td><0.0001</td><td>10.51</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0043550500</td><td>0.0003110747</td><td>14</td><td>5.17</td><td><0.0001</td><td>0.84</td><td>0.0016</td></tr><tr><th>Individual × side</th><td>0.0227608400</td><td>0.0000602139</td><td>378</td><td>2.24</td><td><0.0001</td><td>6.17</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0210413800</td><td>0.0000268385</td><td>714</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table>
Linked collectors and determiners for: Elaboración de la base de datos de los ejemplares de la colección general de insectos adultos de la Dirección General de Sanidad Vegetal.
Natural history specimen data linked to collectors and determiners held within, "Elaboración de la base de datos de los ejemplares de la colección general de insectos adultos de la Dirección General de Sanidad Vegetal". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5e874d56-5dd9-474b-a02b-e077624f2db2">https://bionomia.net/dataset/5e874d56-5dd9-474b-a02b-e077624f2db2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5e874d56-5dd9-474b-a02b-e077624f2db2">https://gbif.org/dataset/5e874d56-5dd9-474b-a02b-e077624f2db2</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Taxonomic Reconciliation of Smilacaceae in the Indian Subcontinent: Synonymy, Typification, Updated Inventory, and a Vegetative Key for Identification.
Natural history specimen data linked to collectors and determiners held within, "Taxonomic Reconciliation of Smilacaceae in the Indian Subcontinent: Synonymy, Typification, Updated Inventory, and a Vegetative Key for Identification". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4393ab9b-f3c9-4309-923b-d67a8d18eb50">https://bionomia.net/dataset/4393ab9b-f3c9-4309-923b-d67a8d18eb50</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4393ab9b-f3c9-4309-923b-d67a8d18eb50">https://gbif.org/dataset/4393ab9b-f3c9-4309-923b-d67a8d18eb50</a>. Formatted as a Frictionless Data package.
Data from: Fuels and fires influence vegetation via above- and below-ground pathways in a high-diversity plant community
1. Fire strongly influences plant populations and communities around the world, making it an important agent of plant evolution. Fire influences vegetation through multiple pathways, both above- and belowground. Few studies have yet attempted to tie these pathways together in a mechanistic way through soil heating even though the importance of soil heating for plants in fire-prone ecosystems is increasingly recognized. 2. Here we combine an experimental approach with structural equation modelling (SEM) to simultaneously examine multiple pathways through which fire might influence herbaceous vegetation. In a high-diversity longleaf pine groundcover community in Louisiana, USA, we manipulated fine-fuel biomass and monitored the resulting fires with high-resolution thermocouples placed in vertical profile above- and belowground. 3. We predicted that vegetation response to burning would be inversely related to fuel load owing to relationships among fuels, fire temperature, duration and soil heating. 4. We found that fuel manipulations altered fire properties and vegetation responses, of which soil heating proved to be a highly accurate predictor. Fire duration acting through soil heating was important for vegetation response in our SEMs, whereas fire temperature was not. 5. Our results indicate that in this herbaceous plant community, fire duration is a good predictor of soil heating and therefore of vegetation response to fire. Soil heating may be the key determinant of vegetation response to fire in ecosystems wherein plants persist by resprouting or reseeding from soil-stored propagules. 6. Synthesis. Our SEMs demonstrate how the complex pathways through which fires influence plant community structure and dynamics can be examined simultaneously. Comparative studies of these pathways across different communities will provide important insights into the ecology, evolution and conservation of fire-prone ecosystems.
Vegetation N:P ratio stoichiometric is a driver of negative density dependence in a succession series of a semi-arid area
<p>Plant negative density dependence is the result of interactions between plants and between plants and the environment. We selected a succession series, i.e., early successional, mid-successional and late successional stages<i> </i>for <i><span>Artemisia ordosica</span></i>, <i><span>Sophora alopecuroides</span></i> and <i><span>Stipa bungeana</span></i> communities, respectively, in a semi-arid area. We investigated the density and biomass and determined the nitrogen (N) and phosphorus (P) content of every plant species for each quadrat of 225 quadrats, and calculated the N and P content of vegetation using biomass as a weighted coefficient. The results show that, total plant density of the <i><span>A. ordosica</span></i><i> </i>community increased with the increase of vegetation N:P ratio, while total plant density of the <i><span>S. bungeana</span></i> community decreased with the increase of vegetation N:P ratio, which took on negative density dependence at the late successional stage. In the early and mid-successional stages of the community succession, the stagnation point of the quadratic function relationship between plant total density and vegetation N/P ratio was (16.6, 353.3), that was, if the N:P ratio of the vegetation was greater than 16.6, which was characterized by negative density dependence. The analysis shows that the negative density dependence is due to P limitation. These findings reveal that the vegetation N:P ratio in a semi-arid region is the driving force for negative density dependence.</p>
Data from: Changes in aspects of emergent and submerged vegetation cover, richness, and diversity in a fragmenting marsh system
<p><span><span><span><span><span><span><span><span><span><span><span>Habitat fragmentation is a global environmental challenge, and the marshes of southeastern Louisiana are a hotspot for habitat fragmentation. Evaluating marsh ecosystems during the transition from intact to fragmented is critical to predict future changes and inform effective conservation and restoration plans. We sampled three sites in Terrebonne Basin, Louisiana to characterize a fragmenting emergent-vegetation dominated system, investigate the relationship between plant species richness and diversity and marsh fragmentation, and determine the relationship between marsh fragmentation and cover of submerged aquatic vegetation (SAV). Emergent plant richness and diversity were higher in areas with low salinity and high surface elevation. Although these areas had relatively low fragmentation, there was no direct relationship between richness or diversity and measures of marsh fragmentation. Despite greater light availability in highly fragmented areas, SAV was restricted to areas with low fragmentation, suggesting light availability was not the factor limiting SAV colonization into open water areas. Results from this study highlight the complex interactions of geomorphological and biotic processes within a fragmenting marsh and suggest that physical drivers such as salinity and elevation are a better indicator of emergent plant community structure in this system than degree of fragmentation. </span></span></span></span></span></span></span></span></span></span></span></p>
Figure 4 from: Berisha N, Rizani KL, Kadriaj B, Millaku F (2021) Notes on the distribution, ecology, associated vegetation and conservation status of Gymnadenia (Orchidaceae) in Kosovo. Italian Botanist 12: 1-27. https://doi.org/10.3897/italianbotanist.12.65699
Figure 4 Comparative data on species richness and richness in endemic taxa beween the plant communities of four Gymnadenia species in Kosovo.
Figure 2 from: Berisha N, Rizani KL, Kadriaj B, Millaku F (2021) Notes on the distribution, ecology, associated vegetation and conservation status of Gymnadenia (Orchidaceae) in Kosovo. Italian Botanist 12: 1-27. https://doi.org/10.3897/italianbotanist.12.65699
Figure 2 Elevational distribution of four Gymnadenia species based on the study of 179 herbarium specimens, geographically located in Kosovo.
Figure 3 from: Berisha N, Rizani KL, Kadriaj B, Millaku F (2021) Notes on the distribution, ecology, associated vegetation and conservation status of Gymnadenia (Orchidaceae) in Kosovo. Italian Botanist 12: 1-27. https://doi.org/10.3897/italianbotanist.12.65699
Figure 3 Boxplots representing the ecological preferences for nutrients, pH reaction, moisture, continentality, temperature and light–for four studied Gymnadenia species, based on their phytosociological communities.
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