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37 results for “floristic diversity”
Supplementary material 2 from: Huang J, Guo Z, Tang S, Ren W, Chu G, Wang L, Zhao L, Yu R, Xu Y, Ding Y, Zang R (2020) Floristic composition and plant diversity in distribution areas of native species congeneric with Betula halophila in Xinjiang, northwest China. Nature Conservation 42: 1-17. https://doi.org/10.3897/natureconservation.42.54735
Figure S2. The distribution frequency of Betula species varies with the environment gradients
Inselberg, taxa, environment data for Inselberg floristics exemplify coast to inland OCBIL transition in a global diversity hotspot
<p>We examined floristics of granitoid inselbergs in the hitherto poorly documented southeastern region of the Southwest Australian Floristic Region (SWAFR) and adjacent Great Western Woodlands, addressing several hypotheses of OCBIL theory. We found exceptional taxon richness (1,550 taxa on 89 inselbergs, with 58 well-sampled inselbergs and 1493 taxa chosen for detailed analyses). Granite inselberg endemism declines towards the arid inland, though taxon richness does not. OCBILs are likely found up to 500 km inland, not ca. 300 km as previously hypothesized. Hybrids are extremely rare on the 58 inselbergs analysed, whereas rare species, including singletons, are abundant. Conversely, exotic weeds are less common than in the whole SWAFR flora (8.2% vs 12.8%). Granite plant communities are distributed in parallel bands to the south coast, approximating the general transition from the Esperance and Boylya Floristic Districts across the SWAFR boundary north into the Arid Zone's Great Western Woodlands. Positive correlations exist between several plant life forms and inselberg area, save for geophytes. There is a decrease from the coast inland for most life forms, except for annual and graminoid herbs that increase in taxa inland. Thus, inselberg floristics exemplify the coast-to-inland OCBIL transition in this global biodiversity hotspot.</p>
FIGURE 3 in Floristic diversity in Cold Desert regions of Uttarakhand Himalaya, India
FIGURE 3. Distibution of taxa among different habitats in the cold deserts of Uttarakhand.
FIGURE. Dominant families of cold desert of Uttarakhand. in Floristic diversity in Cold Desert regions of Uttarakhand Himalaya, India
FIGURE. Dominant families of cold desert of Uttarakhand.
FIGURE. Map of the study area (Source: http://srtm.csi.cgiar.org) in Floristic diversity in Cold Desert regions of Uttarakhand Himalaya, India
FIGURE. Map of the study area (Source: http://srtm.csi.cgiar.org)
Figure 1 in A floristic assessment of grassland diversity loss in South Africa
Figure 1. Location of the 18 study sites in the Grassland Biome of South Africa. Land-use transformation at localities: Agriculture, afforestation: 1, 2, 3; field margins: 4, 5, 6; abandoned fields: 7, 8, 9; urban, green space: 10, 11, 12; peri-urban: 13, 14, 15; mine rehabilitation: 16, 17, 18.
FIGURE 4 in Notes on the diversity and floristic affinity of mosses (Musci, Bryophyta) from Zambales Mountain Range, Luzon island, Philippines
FIGURE 4. Map showing collection localities of Zambales Mountain Range in the island of Luzon.
FIGURE 2 in Floristic diversity in Valley of Flowers National Park, Indian Himalayas
FIGURE 2.The proportion of different growth forms in Valley of Flowers National Park
FIGURE 1 in Floristic diversity in Valley of Flowers National Park, Indian Himalayas
FIGURE 1. Dominant families with number of taxa in Valley of Flowers National Park
Figure 5 from: Pérez-Luque A, Bonet F, Pérez-Pérez R, Aspizua R, Lorite J, Zamora R (2014) Sinfonevada: Dataset of Floristic diversity in Sierra Nevada forests (SE Spain). PhytoKeys 35: 1-15. https://doi.org/10.3897/phytokeys.35.6363
Figure 5 - Location of the forest-inventory plots. This map shows the location of the forest-inventory plots and the distribution of the ecosystem types present in Sierra Nevada. The vegetation is predominantly high-mountain shrublands and pine plantations, with some natural forests (oaks, Pyrenean oaks, maples, etc.).
Figure 4 from: Pérez-Luque A, Bonet F, Pérez-Pérez R, Aspizua R, Lorite J, Zamora R (2014) Sinfonevada: Dataset of Floristic diversity in Sierra Nevada forests (SE Spain). PhytoKeys 35: 1-15. https://doi.org/10.3897/phytokeys.35.6363
Figure 4 - Diagram of integration of SINFONEVADA within Information System of Sierra Nevada Global Change Observatory. The original database of SINFONEVADA contains two types of information: forest attributes and related information and occurrence data. This information was integrated into the Information System of Sierra Nevada Global Change Observatory. After a validation process (see Quality Control section) the occurrence data were accommodated to Darwin Core Archive to integrate in GBIF.
Figure 3 from: Pérez-Luque A, Bonet F, Pérez-Pérez R, Aspizua R, Lorite J, Zamora R (2014) Sinfonevada: Dataset of Floristic diversity in Sierra Nevada forests (SE Spain). PhytoKeys 35: 1-15. https://doi.org/10.3897/phytokeys.35.6363
Figure 3 - Taxonomic coverage. The figure shows the taxonomic coverage for class, order and family. The circles size are proportional to the number of records in the Sinfonevada database. Numbers indicates the percentage of records. All taxonomic classes included in the database are shown. For order and family rank, only the top 10 are shown. Colour indicates the taxonomic class: green (Liliopsida); black (Magnoliopsida) and blue (Pinopsida).
Figure 2 from: Pérez-Luque A, Bonet F, Pérez-Pérez R, Aspizua R, Lorite J, Zamora R (2014) Sinfonevada: Dataset of Floristic diversity in Sierra Nevada forests (SE Spain). PhytoKeys 35: 1-15. https://doi.org/10.3897/phytokeys.35.6363
Figure 2 - Structure of the Sierra Nevada Global Change Observatory. The four cornerstones of the research project are shown: monitoring program, adaptive management, information systems and dissemination. A monitoring program is needed to identify the impacts of global change over Sierra Nevada. The information compiled needs to be transformed into useful knowledge for the managers to carry out an active and adaptive management of natural resources. To achieve this, it is essential that all data be integrated and analysed in an information system. Finally, the general public should be informed of both the results obtained and methodologies used, through effective outreach activities.
Figure 1 from: Pérez-Luque A, Bonet F, Pérez-Pérez R, Aspizua R, Lorite J, Zamora R (2014) Sinfonevada: Dataset of Floristic diversity in Sierra Nevada forests (SE Spain). PhytoKeys 35: 1-15. https://doi.org/10.3897/phytokeys.35.6363
Figure 1 - Location of Sierra Nevada mountain (southern Spain). The boundaries of the National and Natural Parks are shown. We used a Landsat 5 image (2001) as background.
Inselberg, taxa, environment data for Inselberg floristics exemplify coast to inland OCBIL transition in a global diversity hotspot
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FIGURE 2 in Integrative assessment of the floristic diversity of Gentianaceae in an area of campo rupestre of the Espinhaço Range in the state of Bahia, northeastern Brazil
FIGURE 2. Maps of occurrence with localities used for the species distribution modeling, showing the study area location within South America. Curtia diffusa (A), Macrocarpaea illecebrosa (B), Prepusa montana (C), Schultesia bahiensis (D), Schultesia crenuliflora (E), Schultesia minensis (F), Schultesia pachyphylla (G).
FIGURE 4 in Integrative assessment of the floristic diversity of Gentianaceae in an area of campo rupestre of the Espinhaço Range in the state of Bahia, northeastern Brazil
FIGURE 4. Maps of environmental suitability of native/endemic species of Gentianaceae in the Espinhaço Range (ER): Curtia diffusa (A), Macrocarpaea illecebrosa (B), Prepusa montana (C), Schultesia bahiensis (D), Schultesia crenuliflora (E), Schultesia minensis (F), Schultesia pachyphylla (G).
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