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373 results for “herbaceous”
Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - whole - unspecified
Image of Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - whole - unspecified
Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - frontal view of flower
Image of Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - frontal view of flower
Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - frontal view of flower
Image of Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - frontal view of flower
Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - frontal view of flower
Image of Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - frontal view of flower
Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - lateral view of flower
Image of Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - lateral view of flower
Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - lateral view of flower
Image of Xyris tennesseensis (Xyridaceae) - herbaceous angiosperms - inflorescence - lateral view of flower
Data from: Grazing herbivores reduce herbaceous biomass and fire activity across African savannas
<p>Fire and herbivory interact to alter ecosystems and carbon cycling. In savannas, herbivores can reduce fire activity by removing grass biomass, but the size of these effects and what regulates them remain uncertain. To examine grazing effects on fuels and fire regimes across African savannas, we combined data from herbivore exclosure experiments with remotely sensed data on fire activity and herbivore density. We show that, broadly across African savannas, grazing herbivores substantially reduce both herbaceous biomass and fire activity. The size of these effects was strongly associated with grazing herbivore densities and, surprisingly, was mostly consistent across different environments. A one-zebra increase in herbivore biomass density (~100 kg/km<sup>2</sup> of metabolic biomass) resulted in a ~53 kg/ha reduction in standing herbaceous biomass and a ~0.43 percentage point reduction in burned area. Our results indicate that fire models can be improved by incorporating grazing effects on grass biomass.</p>
Survey of herbaceous communities in St Martin de Londres basin
<p>The repository documents the composition of mediterranean herbaceous communities obtained from a survey of 12 sites in St Martin de Londres basin, south of France. It also provides measures of sites environmental condition. Plant sampling took place in 2010 and is described in Ehlers et al. (<a href="https://doi.org/10.1111/1365-2745.12171">10.1111/1365-2745.12171</a>). The design involves quadrats with and without wild thyme in each site. The 12 csv files with four-letter names provides species-per-quadrat presence (1) -absence (0) data derived from this sampling. For some plant species, the percentage of cover in quadrats is available (numbers above 1). The envData.csv file contains environmental data independently obtained in a set of sites of St Martin de Londres basin in 2013, some of them matching the plant survey sites.</p>
Fig. 9 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 9. Influence of monthly average temperatures on date of flowering onset: Helleborus caucasica (1), Anemonoides nemorosa (2), Ficaria verna (3), Corydalis solida (4), Gymnospermum odessanum (5), C. marshalliana (6), Viola odorata (7), Anemonoides ranunculoides (8). See explanations in the text.
Fig. 12 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 12. Dependence of variability of the date (expressed by coefficient of variation) of flowering onset onto its average value (a) and amplitude of variations of monthly average temperatures (b) for 7 years of observations.
Fig. 4 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 4. The age structure of populations in artificial plant community: a – association of Glechoma hederaceae L. + Pulmonaria obscura (1) + Viola odorata + Lysimachia nummularia L.; association Pulmonaria obscura + Viola odorata + Viola alba + Primula veris (2); b – association of Hepatica nobilis (3) + Anemonoides blanda (4) + Viola odorata + Ficaria verna (5).
Fig. 5 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 5. The age structure of populations of spring ephemeroids in 2011–2012; a – Corydalis solida, b – Anemonoides ranunculoides, c – A. blanda.
Fig. 11 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 11. Dependence of flowering phenophase-starting date onto precipitation in forest herbaceous perennials. a: Anemonoides nemorosa (1), Corydalis marshalliana (2), Anemonoides ranunculoides (3), Gymnospermum odessanum (4), Viola odorata (5), Anemonoides blanda (6). b: Anemona sylvestris (7), November precipitation; Hepatica nobilis (8), July precipitation; Hepatica nobilis (9), January precipitation; Anemona sylvestris previous year July precipitation (10)".
Fig. 3 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 3. The age structure of populations in artificial plant community: a – association of Ficaria verna (1) + Corydalis solida (2) + Viola odorata + Anemonoides blanda (3) + Anemonoides ranunculoides, b – Corydalis paczoskii (5)" - "Corydalis paczoskii (4)"; "Gymnospermium odessanum (6)" – "Gymnospermium odessanum (5)".
Fig. 6 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 6. The age structure of populations in natural plant community: a – association of Corydalis solida (1) + Anemonoides ranunculoides (2) + Ficaria verna (3) + Corydalis marschalliana (4); b –Association Ficaria verna (5) + Corydalis solida (6) + Viola odorata + Fragaria vesca.
Fig. 7 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 7. The age structure of populations of spring ephemeroids under artificial plant community conditions (1) and natural ravine forest (2): a – Corydalis solida, b – Ficaria verna, c – Anemonoides ranunculoides.
Fig. 1 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 1. The age structure of populations in artificial plant community: a – association of Ficaria verna (1) + Anemonoides blanda (2) + Corydalis solida (3), b – "Ficaria verna (3)" to "Ficaria verna (4)"; "Anemonoides blanda (4)" - "Anemonoides blanda (5)"; "Corydalis solida (5)" – "Corydalis solida (6)".
Fig. 10 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 10. Influence of January-April total precipitation value on the date of Primula veris budding onset.
Fig. 2 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 2. The age structure of populations in artificial plant community: a - association Anemonoides ranunculoides (1) + Corydalis solida (2) + Corydalis marschalliana, b - association Ficaria verna (3) + Anemonoides ranunculoides (4) + Anemonoides nemorosa, (5) + Corydalis solida (6).
Figure S4 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure S4. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) based on Gower distance measure indicating annual forb plant functional types (PFTs).
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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