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209 results for “plant species distributions”
Fig. 1 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 1. Type specimens of M. lutko Evans, 1932, M. mimetica Higgins, 1940, and M. timandra Coutsis & van Oorschot, 2014. A, C, E. UPS. B, D, F. UNS. A–B. M. lutko, holotype, ♂ (BMNH). C– D. M. mimetica, paratype, ♀ (BMNH). E–F. M. timandra, holotype, ♂ (ZMA). A–D photos by A. Devyatkin; E–F, by Eulalia Gasso Miracle.
Fig. 15 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 15. Adults of Melitaea timandra binaludica subsp. nov. A–H. UPS. I–P. UNS. A, I. Holotype, ♂ (SDM). B–H, J–P. Paratypes (EDMSU). A–D, I–L. ♂, Iran, Rezavi Khorassan Prov., Kuh-e Binalud Mts, Dorrud v. vicinity, alt. 2430 m. E–H, M–P. ♀, same data as for preceding.
Fig. 22 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 22. Male genitalia of Melitaea shahvarica sp. nov. (a = valva; b = aedeagus). Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mts, alt. 2200–2400 m.
Fig. 23 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 23. Eggs of Melitaea shahvarica sp. nov., Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mts, alt. 2200–2400 m. A–C. Lateral view. D–F. View from above. G–I. Micropile area.
Fig. 9 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 9. Adults of Melitaea timandra timandra Coutsis & van Oorschot, 2014. A–H. UPS. I–P. UNS. A–D. ♂, Turkmenistan, Sary-Yazy, alt. 300 m. E–H. ♀, Turkmenistan, Sary-Yazy, alt. 300 m. I–L. ♂, Turkmenistan, Sary-Yazy, alt. 300 m. M–P. ♀, Turkmenistan, Sary-Yazy, alt. 300 m.
Fig. 27 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 27. Biotope, host plant, and adult of Melitaea shahvarica sp. nov. in nature. A. Shahvar Mt., E Elburs Ridge. B. Biotope with Phlomoides molucelloides (Bunge) Salmaki. C. Host plant Ph. molucelloides. D. Female on Ph. molucelloides.
Fig. 21 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 21. Adults of Melitaea shahvarica sp. nov. A–H. UPS. I–P. UNS. A, I. Holotype, ♂ (SDM). B–H, J–P. Paratypes (EDMSU). A–C. ♂. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., alt. 2200–2400 m. D. ♂. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., Tohar v. vicinity, alt. 2200 m. E–H. ♀. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., alt. 2200– 2400 m. I–K. ♂. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., 2200–2400 m. L. ♂. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mts, Tohar v. vicinity, alt. 2200 m. M–P. ♀. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., alt. 2200–2400 m.
Fig. 25. I–IV in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 25. I–IV instar caterpillars of Melitaea shahvarica sp. nov. (a = view from above; b = lateral view). A. First instar caterpillar after hatching. B. First instar caterpillar before molting. C. Second instar caterpillar. D. Third instar caterpillar. E. Fourth instar caterpillar.
Fig. 26. V–VI in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 26. V–VI instar caterpillars of Melitaea shahvarica sp. nov. (a = view from above; b = lateral view). A. Fifth instar caterpillar. B. Sixth instar caterpillar. C. Sixth instar caterpillar, head capsule, front view. D. Sixth instar caterpillar, head capsule, lateral view.
Fig. 20 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 20. Eggs of Melitaea timandra binaludica subsp. nov., Iran, Kuh-e-Binalud Mts. A–C. Lateral view. D–F. View from above. G–I. Micropile area.
Fig. 19. Male genitalia and harpe. A–C in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants
Fig. 19. Male genitalia and harpe. A–C. Melitaea timandra timandra Coutsis & van Oorschot, 2014. D–I. M. timandra binaludica subsp. nov. A–C. Turkmenistan, Sary-Yazy, alt. 300 m. D–F. Iran, Rezavi Khorassan Prov., Kuh-e-Binalud Mts, Dorrud v. vicinity, alt. 2430 m. G. Afghanistan, Bamian Prov., Band-e-Amir, alt. 3200 m. H. Afghanistan, Bamian Prov., Band-e-Amir, Dzhudoi-Kvak Gorge, alt. 3200 m. I. Afghanistan, Band-e-Amir, Hazarajat.
Data for: "Dynamic species distribution modeling reveals the pivotal role of human-mediated long-distance dispersal in plant invasion"
<p>All the data needed to reproduce the results and Figures of our article:</p> <p>Botella, C., Bonnet, P., Hui, C., Joly, A., & Richardson, D. M. (2022). Dynamic Species Distribution Modeling Reveals the Pivotal Role of Human-Mediated Long-Distance Dispersal in Plant Invasion. <em>Biology</em>, <em>11</em>(9), 1293. <a href="https://doi.org/10.3390/biology11091293">https://doi.org/10.3390/biology11091293</a></p> <p>Please, find the R scripts and guidelines to reproduce our results on the article's Github repository :</p> <p><a href="https://github.com/ChrisBotella/plectranthus_barbatus/tree/main">https://github.com/ChrisBotella/plectranthus_barbatus/tree/main</a></p>
Fig. 2a-f in Wild bees (Anthophila) of Porto Santo (Madeira Archipelago) and their habitats: species diversity, distribution patterns and bee-plant network *
Fig. 2a-f: a) Andrena dourada, female; b) Andrena portosanctana, female collecting pollen on Cakile maritima; c) Lasioglossum wollastoni, female in front of nesting site; d) Osmia latreillei iberoafricana, male visiting Cakile maritima; e) Amegilla quadrifasciata maderae, female collecting pollen on Echium portosanctensis, f) Bombus terrestris lusitanicus, worker, collecting pollen on Echium portosanctensis. Photos: A. Kratochwil (a, b, e), A. Schwabe (c, d, f).
Fig. 1 in Wild bees (Anthophila) of Porto Santo (Madeira Archipelago) and their habitats: species diversity, distribution patterns and bee-plant network *
Fig. 1: Aspects from some of our sampling sites and their surroundings in March after an extreme dry winter and a wet winter: Left: March 2012 (November 2011–March 2012, no precipitation); right: March 2017 (October 2016–March 2017, 301 mm precipitation); a, b: sand beach with Vila Baleira in the centre; c, d: Pico Juliana and mainly fallow land; e, f: southern-exposed extensively grazed dry grassland; view from Capela da Graça (in the background right: Pico do Facho with Pinus plantations). Photos: A. Schwabe.
The diversity and distribution of introduced plant species reflects eight thousand years of settlement history
<p>Human population has affected natural ecosystems since prehistoric times in many ways, causing disturbances in existing ecosystems and creating novel habitats, and altering the colonisation and extinction rates with potentially long-lasting effects on biodiversity. Here, we explored the pervasive effects of past human occupancy on present-day diversity and the distribution of plant species introduced by humans in the distant past – archaeophytes – at the regional spatial scale. We analysed spatial relations between the present-day species richness of archaeophytes and native flora, the environmental setting, archaeological evidence, and the relationship between the residence time of archaeophytes and their regional range size. We used fine-scaled gridded information on plant diversity and archaeological records for the period 6000 BCE to 1000 CE summarised as average occupancy probability (AOP) in Czechia, Central Europe. The proportion of archaeophytes in local flora positively correlated to AOP. Variation partitioning revealed largely overlapping effects of AOP, environmental conditions, and present-day land use on the relative diversity of archaeophytes in local flora. The relationship between the minimum residence time of introduced species and their regional range size was weak and non-significant.</p> <p>Synthesis. Our results suggest that the present-day regional diversity of archaeophytes mirrors the intensity of past human settlement. However, the main underlying mechanism is the dispersal and environmental filtering of non-native species pools, while dispersal limitation plays a minor role in the regional patterns of archaeophyte diversity. </p>
Plant Community Formation and Species Distribution Patterns in relation to environmental variables in Endiras Natural Forest, Fogera District, South Gondar Zone, Ethiopia
<p>We need to deposit the data for the manuscript entitled plant community formation and species distribution patterns in relation to environmental variables in Endiras forest, Fogera District, South Gondar Zone, Ethiopia so as to be cited easily </p>
Effects of climate change on the distribution of plant species and plant functional strategies on the Canary Islands
<p>Occurrence data:</p> <p>We used occurrence data from the Banco de Datos de Biodiversidad de Canarias, an open-access database, for single-island endemic (SIE; n = 325), archipelago endemic (AE; n = 234) and definitely non-endemic native (NEN; n = 149) extant seed plant species (excluding subspecies), in a raster of 500 m x 500 m grid cells covering the Canary Islands (<a href="https://www.biodiversidadcanarias.es/biota/">https://www.biodiversidadcanarias.es/biota/</a>) [<em>accessed 14/03/2022</em>]. The database includes all species listed in the checklist of the Banco de Datos de Biodiversidad de Canarias, across 31,628 grid cell assemblages. Species range in occurrence from 1 to 4,466 cells. We only retrieved occurrences for which a species has been certainly observed or collected (precision level 1 of four levels). The Banco de Datos de Biodiversidad de Canarias provides presence-only information that is spatially biased by sampling effort (Hortal et al., 2007). However, the sampling bias of SIEs, AEs, and NENs is less than for species overall because studies incorporated into the database involved focus on, and extensive sampling of, endemic and non-endemic native species (<a href="https://www.biodiversidadcanarias.es/biota/documentos">https://www.biodiversidadcanarias.es/biota/documentos</a>). We considered a species (pseudo-)absent if it was not recorded at a site, although we recognise that there is debate as to whether this truly represents absences.</p>
The diversity and distribution of introduced plant species reflects eight thousand years of settlement history
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Data from: Foundation species promote local adaptation and fine-scale distribution of herbaceous plants
<p><span><span><span>1) Interactions among neighbors can alter demography and traits of commingled species via adaptation or plasticity in phenotypic expression and understanding these two mechanisms in diverse communities is important for determining the ecological and evolutionary consequences of plant–plant interactions. </span></span></span></p> <p><span><span><span>2) We reciprocally transplanted perennial species (<i>Arenaria armerina</i> and <i>Festuca indigesta</i>) among patches of two foundation shrub species and open ground to assess whether origin microsite (defined as the spatially distinct abiotic and biotic conditions associated with the two shrubs and open ground) determines germination, recruitment and growth that, in turn, promotes fine-scale distribution of species among microsites. In addition, we tested the effect of origin microsite on traits, competitive ability, drought tolerance and outlier loci to assess whether origin microsite conditions drove differences in traits, strategies and adaptive loci.</span></span></span></p> <p><span><span><span>3) Germination was consistently greater for seeds planted back into their origin microsite relative to seeds sourced from foreign microsites, although this effect was weakened for recruitment. Plant growth was best in open sites regardless of origin microsite. In the greenhouse, <i>A.</i> <i>armerina</i> had conserved traits within origin microsite but distinct trait values among microsite conditions, specifically for plants originating from the most productive microsite (e.g. sufficient light and high nutrients and water availability). <i>Festuca indigesta</i> had conserved trait responses among microsites while within microsite, individuals had significant trait plasticity to different environmental conditions. The combined field and greenhouse results suggest that fine-scale distributions are supported by local adaptation among microsites of <i>A.</i> <i>armerina </i>and phenotypic plasticity of <i>F.</i> <i>indigesta</i>.</span></span></span></p> <p><span><span><span><i>Synthesis </i>Adaptation or plasticity in phenotypic expression have different implications for demographic rate and persistence of species in changing environments. Local adaptation to neighbors suggests that reductions in foundation species diversity could concomitantly lead to reduced genetic diversity of commingled species while a plastic response indicates a more robust and broad response to changing climatic and biotic conditions.</span></span></span></p>
Influence of climate, soil and land cover on plant species distribution in the European Alps
<p>Although the importance of edaphic factors and habitat structure for plant growth and survival is known, both are often neglected in favor of climatic drivers when investigating the spatial patterns of plant species and diversity. Yet, especially in mountain ecosystems with complex topography, missing edaphic and habitat components may be detrimental for a sound understanding of biodiversity distribution. Here, we compare the relative importance of climate, soil and land cover variables when predicting the distributions of 2'616 vascular plant species in the European Alps, representing approximately two thirds of all European Flora. Using presence-only data, we built point-process models (PPMs) to relate species observations to different combinations of covariates. We evaluated the PPMs through block cross-validations, and assessed the independent contributions of climate, soil and land cover covariates to predict plant species distributions using an innovative predictive partitioning approach. We found climate to be the most influential driver of spatial patterns in plant species with a relative influence of ~58.5% across all species, with decreasing importance from low to high elevations. Soil (~20.1%) and land cover (~21.4%), overall, were less influential than climate, but increased in importance along the elevation gradient. Furthermore, land cover showed strong local effects in lowlands, while the contribution of soil stabilized at mid-elevations. The decreasing influence of climate with elevation is explained by increasing endemism, and the fact that climate becomes more homogeneous as habitat diversity declines at higher altitudes. In contrast, soil predictors were found to follow the opposite trend. Additionally, at low elevations, human-mediated land cover effects appear to reduce the importance of climate predictors. We conclude that soil and land cover are, like climate, principal drivers of plant species distribution in the European Alps. While disentangling their effects remains a challenge, future studies can benefit markedly by including soil and land cover effects when predicting species distributions.</p>
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