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3,105 results for “Vegetation =”
Figure 1 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 1 Known distribution of Gymnadenia species in Kosovo, based on herbarium specimens, as well as phytosociological relevés.
Fig. 4 in Vegetation of Paektu Mt. alpine tundra and changes of species composition in its ecotone
Fig. 4. Timber-line on Paektu Mt. – transition zone between alpine tundra and light-park larch forest (Larix olgensis) (photo I. Jarolímek).
Disentangling the direct and indirect effects of canopy and understory vegetation on the foraging habitat selection of the brown bear Ursus arctos
<p>Elucidating the factors affecting the foraging habitat selection of wildlife can further our understanding of the animal– habitat relationships and inform wildlife conservation and management. Canopy and understory vegetation may directly or indirectly affect the foraging habitat selection of carnivores through changes in habitat structure and prey availability, respectively; however, the relative importance of these two effects remains largely unknown. Dwarf bamboo Sasa kurilensis is a predominant understory plant that suppresses regeneration in the forests of northern Japan. The purpose of this study was to disentangle the direct and indirect effects of canopy forest type Larix kaempferi plantation versus natural mixed forest) and dwarf bamboo on foraging habitat selection of a large carnivore, the brown bear Ursus arctos. In the Shiretoko World Heritage, brown bears dig for cicada nymphs during summer. We evaluated the frequency of brown bear foraging on cicadas by investigating traces of digging for cicada nymphs. A structural equation model was used to statistically disentangle the direct and indirect effects of vegetation. Our results demonstrated that canopy and understory vegetation directly and indirectly affected foraging habitat selection of brown bears. Dwarf bamboo negatively affected cicada nymph density, which positively affected brown bear digging. This suggests that dwarf bamboo also had indirect negative effects on brown bears. Forest type had significant direct and indirect effects via change in cicada nymph density on foraging behavior in brown bears. Forestry managers in northern Japan, including the study site, try to remove dwarf bamboo for assisting natural regeneration. Removal of dwarf bamboo by scarification might not only promote natural regeneration, but also provide a beneficial foraging habitat for bears.</p>
Forest phenoclusters for Argentina based on vegetation phenology and climate
<p>Forest biodiversity conservation and species distribution modeling greatly benefit from broad-scale forest maps depicting tree species or forest types rather than just presence and absence of forest, or coarse classifications. Ideally, such maps would stem from satellite image classification based on abundant field data for both model training and accuracy assessments, but such field-data does not exist in many parts of the globe. However, different forest types and tree species differ in their vegetation phenology, offering an opportunity to map and characterize forests based on the seasonal dynamic of vegetation indices and auxiliary data. Our goal was to <a name="_Hlk68610487">map and characterize forests based on both land surface phenology and climate patterns, defined here as forest phenoclusters</a>. We applied our methodology in Argentina (2.8 million km<sup>2</sup>), which has a wide variety of forests from rainforests to cold-temperate forests. We calculated phenology measures after fitting a harmonic curve of the enhanced vegetation index (EVI) time series derived from 30-m Sentinel 2 and Landsat 8 data from 2018-2019. For climate, we calculated land surface temperature (LST) from Band 10 of the thermal infrared sensor (TIRS) of Landsat 8, and precipitation from Worldclim (BIO12). We performed stratified X-means cluster classifications followed by hierarchical clustering. The resulting clusters separated well into 54 forest phenoclusters with unique combinations of vegetation phenology and climate characteristics. <a name="_Hlk75251042">The EVI 90<sup>th </sup>percentile </a>was more important than our climate and other phenology measures in providing separability among different forest phenoclusters. Our results highlight the potential of combining remotely sensed phenology measures and climate data to improve broad-scale forest mapping for different management and conservation goals, capturing functional rather than structural or compositional characteristics between and within tree species. Our approach results in classifications that go beyond simple forest-non forest in areas where the lack of detailed ecological field data precludes tree species-level classifications, yet conservation needs are high. Our map of forest phenoclusters is a valuable tool for the assessment of natural resources, and the management of the environment at scales relevant for conservation actions.</p>
Green leaf phenological characteristics of boreal peatland vegetation impacted by linear disturbances
<p class="Abstract">Vast areas of boreal peatlands are impacted by linear disturbances known as seismic lines. Tree removal and ground disturbance alter vegetation communities and are expected to change ecosystem functioning. As boreal landscapes continue to be disturbed by linear disturbances, understanding the magnitude and mechanisms of vegetation and phenology changes is the first step toward predicting carbon cycling changes across broad spatial scales. We investigate seismic line disturbances on peatland plant community composition and phenological patterns using readily available digital photography at a bog and a fen in Alberta, Canada. Our objectives were to: 1) compare the understory peatland vegetation on seismic lines with those in adjacent undisturbed areas using two phenological metrics (green and red chromatic coordinates); 2) evaluate if vegetation greenness is directly related to vegetation community composition, and 3) determine whether plot-scale greenness predicts plant productivity. We found that areas of peatlands intersected by seismic lines have an earlier seasonal peak (maximum greenness) compared to undisturbed areas, and vegetation communities had a stronger relationship to greenness and gross primary production (GPP) at disturbed areas relative to undisturbed areas. This change in understory vegetation results in greater CO<sub>2</sub> uptake in disturbed areas. We demonstrate an easy-to-use application of digital photography that successfully quantifies phenological changes in boreal peatland vegetation. This non-destructive method for understanding vegetation phenology eliminated the need for fixed infrastructure and allowed us to expand our sampling capacity and study sites while allowing for repeated measures in the future.</p>
Vegetation habitat of White-winged flufftail
<p><span><span>The White-winged Flufftail is listed as critically endangered and limited knowledge about the species' ecology has been identified as a limiting factor to effectively conserving the bird. Little is known about the vegetation inhabited by the White-winged Flufftail, which hampers the identification and management of its habitat. </span></span></p> <p><span><span>This study presents a fine-scale classification and description of the vegetation of wetland sites where the bird is known to be present. A plant phytosociological study was conducted to describe the plant communities and vegetation structure of the habitat. Three sites were selected at Verloren Valei Nature Reserve and two at Middelpunt Wetland, Mpumalanga, South Africa, shortly after the White-winged Flufftail breeding season. A total of 60 sample plots were placed within the study sites, where all plant species present were recorded and identified. Other aspects such as plant height, water depth and anthropogenic influences were also documented. </span></span></p> <p>A modified TWINSPAN analysis resulted in the identification of three sub-communities that can be grouped into one major community. The Cyperaceae, Asteraceae and Poaceae families dominate the vegetation, with the sedges <i>Carex austro-africana </i>and<i> Cyperus denudatus</i> being dominant, and the grasses <i>Leersia hexandra</i> and <i>Arundinella nepalensis</i> co-dominant. The broad habitat structure consisted of medium to tall herbaceous plants (0.5-0.7 m) with shallow slow-flowing water.</p>
Trinity assembly of Powdery mildew of vegetable samples lesion fom Italy PM
<p>De novo Trinity assembly RNA seq</p>
Figures 12-16 from: Benatti M (2012) A review of the genus Bulbothrix Hale: the species with medullary salazinic acid lacking vegetative propagules. MycoKeys 5: 1-30. https://doi.org/10.3897/mycokeys.5.3342
Figures 12-16 - 12 Lectotype of Parmelia amplectens 13 Holotype of Bulbothrix vainioi 14 Detail of the lower cortex of Bulbothrix vainioi 15 Holotype of Bulbothrix sensibilis 16 Holotype of Bulbothrix setschwanensis. Scale = 1 cm (14, 15, 16), 2 mm (17), 1 mm (18), and 20 µm (19).
Figures 4-11 from: Benatti M (2012) A review of the genus Bulbothrix Hale: the species with medullary salazinic acid lacking vegetative propagules. MycoKeys 5: 1-30. https://doi.org/10.3897/mycokeys.5.3342
Figures 4-11 - 4 Lectotype of Bulbothrix hypocraea 5 Detail of the lower side of the lectotype 6 Detail of the maculate upper cortex 7 Duplicate of Bulbothrix hypocraea 8 Holotype of Parmelia leptascea 9 Lectotype of Parmelia proboscidea var. saxicola (marked B) 10 Holotype of Bulbothrix linteolocarpa 11 Holotype of Bulbothrix meizospora. Scale bars = 1 cm (4, 5, 7, 8, 9, 10, 11), and 1 mm (6).
Figures 1-3 from: Benatti M (2012) A review of the genus Bulbothrix Hale: the species with medullary salazinic acid lacking vegetative propagules. MycoKeys 5: 1-30. https://doi.org/10.3897/mycokeys.5.3342
Figures 1-3 - 1 Holotype of Bulbothrix continua 2 Detail of the shiny emaculate upper cortex 3 Holotype of Bulbothrix enormis. Scale bars = 1 cm (1,3), 1 mm (2).
Figures 22-25 from: Jaeger P, Kunz D (2010) Palystes kreutzmanni sp. n. – a new huntsman spider species from fynbos vegetation in Western Cape Province, South Africa (Araneae, Sparassidae, Palystinae). ZooKeys 67: 1-9. https://doi.org/10.3897/zookeys.67.700
Figures 22-25 - Palystes kreutzmanni sp. n. from South Africa, Western Cape Province, Kleinmond (22 Holotype male, PJ 3261 23 Fynbos vegetation at the type locality 24 Leucadendron sp., predominant plant at the type locality 25 Retreat of Palystes kreutzmanni sp. n. between apical leaves of Leucadendron sp.).
Figures 17-21 from: Jaeger P, Kunz D (2010) Palystes kreutzmanni sp. n. – a new huntsman spider species from fynbos vegetation in Western Cape Province, South Africa (Araneae, Sparassidae, Palystinae). ZooKeys 67: 1-9. https://doi.org/10.3897/zookeys.67.700
Figures 17-21 - Palystes kreutzmanni sp. n. from South Africa, Western Cape Province, Kleinmond (17–19 Holotype male, PJ 3261 20–21 Paratype female, PJ 3263).
Figures 1-16 from: Jaeger P, Kunz D (2010) Palystes kreutzmanni sp. n. – a new huntsman spider species from fynbos vegetation in Western Cape Province, South Africa (Araneae, Sparassidae, Palystinae). ZooKeys 67: 1-9. https://doi.org/10.3897/zookeys.67.700
Figures 1-16 - Palystes kreutzmanni sp. n. from South Africa, Western Cape Province, Kleinmond (1–7 Holotype male, PJ 3261 8–12 Paratype female, PJ 2362 13–15 Paratype female, PJ 3267 16 Paratype female, PJ 3263). 1–5 Palp (1 prolateral, 2 ventral, 3 retrolateral, 4 detail of embolus and conductor, ventral, 5 same, retrolatero-distal). 6, 11 Eye arrangement, dorsal 7, 12, 16 Left chelicera, ventral 8, 13 Epigyne, ventral 9, 14 Vulva, dorsal 10, 15 Schematic course of internal duct system (circle – copulatory orifice, T – glandular appendages, arrow – fertilisation duct in direction of uterus externus). Abbreviations: C – conductor, E – embolus, GA – glandular appendage, SO – slit sense organ, TL – transparent layer, TS – tegular sclerite, W – transparent "window".
Figure 6 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 6 - The total individual numbers of the top three dominant species on the burned site from 2008–2015.
Figure 4 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 4 - The frequency of native plants on the unburned site and the burned site per 1 m2. Error bars are ± SD (n=50). T-value = 6.50. P-value < 0.001.
Figure 7 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 7 - The total individual numbers of the top three dominant species on the unburned site from 2008–2015.
Figure 1 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 1 - The species richness on the unburned site and the burned site per 1 m2. Error bars are ± SD (n=50). T-value= 4.70, P-vale < 0.001.
Figure 5 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 5 - The total individual numbers of dominant species on the unburned site and the burned site from 2008–2015.
Figure 3 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 3 - The frequency of lichens, woody plants, forb plants, grass on the unburned site and the burned site per 1 m2. Error bars are ± SD (n=50). Lichens: T-value = 27.71; P-value < 0.001. Woody plants: T-value = 18.96; P-value < 0.001. Forb plants: T-value = -7.90; P-value < 0.001. Grass: T-value = -3.72; P-value =0.001.
Figure 2 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 2 - The plant density on the unburned site and the burned site per 1 m2. Error bars are ± SD (n=50). T-value = 6.75. P-value < 0.001.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.