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15 results for “planting suitability”
Distribution and habitat suitability maps for Central European steppe plants
<p>This dataset contains distribution maps for Central European steppe plants and coordinates of species occurrence points used by Divíšek et al. (2022) to calibrate habitat suitability models. These models were projected onto past climates and the resulting habitat suitability maps for 10 periods since the Last Glacial Maximum (LGM) are also included. These maps were further used as input data for simulations of species migration from climatically suitable areas in the LGM to identify those that may have served as a source for colonisation of the species' current ranges. For each species, we present maps of climatically suitable areas during the LGM and mid-Holocene (for the latter period, only areas accessible from the LGM are shown), as well as maps of the "source areas" from which the species may have colonised the regions occupied today.</p>
Data from: Virus infection and host plant suitability affect feeding behaviors of cannabis aphid (Hemiptera: Aphididae), a newly described vector of potato virus Y
<p>Aphids are the most prolific vectors of plant viruses resulting in significant yield losses to crops worldwide. P<span>otato virus Y (PVY) </span>is transmitted in a non-persistent manner by 65 species of aphids. <span>With the increasing acreage of hemp </span>(<i>Cannabis sativa</i> L.) (Rosales: Cannabaceae) <span>in the U.S, we were interested to know if the cannabis aphid (<i>Phorodon cannabis</i> Passerini) </span><span>(Hemiptera: Aphididae) </span><span>is a potential vector of PVY.</span> Here, we conduct transmission assays and utilize the electrical penetration graph (EPG) technique to determine whether cannabis aphids can transmit PVY to hemp (host) and potato (non-host) (<i>Solanum tuberosum</i> L.) (Solanales: Solanaceace). We show for the first time that the cannabis aphid is an efficient vector of PVY to hemp (96%) and potato (91%) using cohorts of aphids. In contrast, individual aphids transmitted the virus more efficiently to hemp (63%) compared to potato (19%). During the initial 15 minutes of EPG recordings, aphids demonstrated lower number and time spent performing intracellular punctures on potato compared to hemp, which may in part explain low virus transmission to potato using individual aphids. During the entire 8-hour recording, viruliferous aphids spent less time ingesting phloem compared to non-viruliferous aphids on hemp. This reduced host suitability could potentially cause aphids to disperse to more suitable hosts thereby increasing virus transmission. Overall, our study shows that cannabis aphid is an efficient vector of PVY, and that virus infection and host plant suitability affect feeding behaviors of the cannabis aphid in ways which may increase virus transmission.</p>
Fig. 2 in Suitability of selected ornamental plants for growth and survival of Lissachatina fulica (Gastropoda: Achatinidae)
Fig. 2. Mean percent survival of newly hatched Lissachatina fulica afer 70 d of feeding on a single diet treatment. (A) Annual plants. (B) Perennial plants. Means topped by the same lowercase letters are not significantly different (P> 0.05; Kruskal-Wallis rank sum test and Dunn's test). Error bars indicate standard error.
Global Planting Suitability of Wheat Under the 1.5 °C and 2 °C Warming Goals
<p><strong>Global Planting Suitability of Wheat Under the 1.5 °C and 2 °C Warming Goals</strong></p> <p><em>Authors: Xi Guo; Puying Zhang; Yaojie Yue</em></p> <p>This is the outcome data of our research which is under submission.</p> <p>Though the impact of climate change on potential crop distributions has been extensively explored, there are few studies on potential wheat distributions at specific global warming levels (GWLs), e.g., 1.5 °C and 2 °C.</p> <p>Here, a grided (0.5 degree × 0.5 degree) dataset of global potential wheat distribution under the 1.5 °C and 2 °C GWLs is proposed. This dataset is produced using the MaxEnt model with support of multi-model data(GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, and NorESM1-M).</p> <p>The predictive accuracy of the proposed dataset was carefully validated between the predicted global wheat distribution and multiple known datasets. For more details of the approach used to predict the global wheat distribution please refer to: Yue, Y., Zhang, P., Shang, Y., 2019. <em>The potential global distribution and dynamics of wheat under multiple climate change scenarios</em>. <em>Sci Total Environ</em> 688, 1308-1318. https://coi.org/10.1016/j.scitotenv.2019.06.153.</p> <p>The results indicate the regional differences in the potential suitability of wheat cultivation under different GWLs. Eastern Europe, Pakistan, Northern India, Russia, and Canada witnessed a significant increase in wheat planting suitability. In contrast, Central Eastern Africa, Southeastern Australia, Southeastern China, Southern Brazil, France, Spain, and Italy demonstrated a significant decrease in wheat suitability. Compared with 1.5 °C GWLs, wheat planting suitability decreases more evidently in 2 °C GWLs in Central and Eastern Africa, Central and Southern India, Southeastern China, Australia, Mexico, Southern Brazil, and Argentina. Simultaneously, regions such as Russia, Pakistan, Canada, and the Great Lakes area of the United States observed further increases in wheat planting suitability. To ensure favorable conditions for the cultivation of wheat, it is crucial to limit the global average temperature increase to less than 2 °C.</p> <p>Our findings demonstrate the influence of different GWLs on potential global wheat distribution, highlighting the regional differences in the potential suitability of wheat cultivation under different GWLs.</p> <p>We argue that the potential global wheat distribution datasets under different GWLs are a valuable complement to currently available products. This potential global wheat distribution is one of the few products to take into account 1.5 °C and 2 °C GWLs based on multi-modal data. We believe that it can provide more valuable information for policymakers to make decisions for the warming world.</p> <p>The data of the Global Planting Suitability of Wheat Under the 1.5 °C and 2 °C Warming Goals is stored in a zip package, that is <strong>Global Planting Suitability of Wheat</strong><strong>.zip</strong>. This package consists of 1 folder, i.e., <strong>SR1.5&2.0</strong>.</p> <p>This subfolder contains GeoTIFF files for the Global Planting Suitability of Wheat Under the 1.5 °C and 2 °C Warming Goals. Correspondingly <strong>Wheat_SR15</strong><strong>.tif</strong> and <strong>Wheat_SR</strong><strong>20</strong><strong>.tif</strong>. The grid value of each file ranges from 0 to 1, indicating the possibility of wheat planting in each grid, and the higher the value, the higher the possibility that wheat exists.</p> <p>Reference:</p> <p>Yue, Y., Zhang, P., Shang, Y., 2019. <em>The potential global distribution and dynamics of wheat under multiple climate change scenarios</em>. <em>Sci Total Environ</em> 688, 1308-1318. https://coi.org/10.1016/j.scitotenv.2019.06.153.</p>
Data from: Virus infection and host plant suitability affect feeding behaviors of cannabis aphid (Hemiptera: Aphididae), a newly described vector of potato virus Y
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Data associated with: Climate change will likely threaten areas of suitable habitats for the most relevant medicinal plants native to the Caatinga dry forest
<p>Medicinal plants play an important role in providing ecosystem services, such as local cultural and economic value, and human well-being, especially in poor regions. The use of plants to improve living conditions and increase the chances of survival comes from the beginning of human life. Climate change has the potential to contract areas of suitable habitat for medicinal plant species across different regions. As a consequence of climate change, the possibility of treating diseases can be compromised, and even interrupted. <em>We collected data from the medicinal applications and the parts that are used of 10 species of medicinal plants native to the Caatinga dry forest [i.e., </em><em>Myracrodruon urundeuva</em><em> Allemão (Anacardiaceae), </em><em>Cereus jamacaru </em><em>DC (Cactaceae), </em><em>Neocalyptrocalyx longifolium</em><em> (Mart) Cornejo & Iltis (Caparaceae),</em><em> Maytenus rigida </em><em>Mart (Celastraceae), </em><em>Operculina hamiltonii</em><em> (G Don) DF Austin Staples, </em><em>Operculina macrocarpa</em><em> (L) Urb (Convolvulaceae), </em><em>Amburana cearensis </em><em>(Allemao) AC Sm, </em><em>Anadenantehra colubrina</em><em> (Vell) Brenan, </em><em>Bauhinia cheilantha</em><em> (Bong) Steud and </em><em>Erythrina velutina</em><em> Willd (Legimonosae). </em>In addition, we also collected precise georeferenced data (native occurrence) of these medicinal plant species, that was accessed in 1) The Global Biodiversity Information Facility platform (GBIF) is an international data network funded by governments around the world, providing open access to data on all life on Earth (https:// www.gbif.org, accessed May 2022); 2) REFLORA - Herbário Virtual, virtual herbarium network that contains information on Brazilian plants that are deposited in 63 herbaria in Brazil and 10 international herbaria (http://reflora.jbrj.gov.br/reflora/herbarioVirtual, accessed May 2022); 3) Botanical Information and Ecology Network Platform (BIEN), a global information network that helps to document patterns of plant diversity, trait records and distribution, which includes georeferenced plant observation data from herbarium records, plots, survey inventories (https://bien .nceas.ucsb.edu/bien/biendata, accessed May 2022) and 4) 95 botanical monographs and floras. We excluded all repeated and mismatch occurrence data for each species. We collected all the available points for the studied species.</p>
Genetic data and climate niche suitability models highlight the vulnerability of a functionally important plant species from south-eastern Australia
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Data from: Expansion history and environmental suitability shape effective population size in a plant invasion
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Global maps of current (1979-2013) and future (2061-2080) habitat suitability probability for 1,485 European endemic plant species
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Data from: Citizen science can complement professional invasive plant surveys and improve estimates of suitable habitat
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Data from: Testing macroecological abundance patterns: the relationship between local abundance and range size, range position and climatic suitability among European vascular plants
<p><strong>Aim: </strong>A fundamental question in macroecology centres around understanding the relationship between species' local abundance and their distribution in geographic and climatic space (i.e. the multi-dimensional climatic space or climatic niche). Here, we tested three macroecological hypotheses that link local abundance to the following range properties: (1) the abundance-range size relationship, (2) the abundance-range centre relationship, and (3) the abundance-suitability relationship.<br> <br> <strong>Location: </strong>Europe<br> <br> <strong>Taxon: </strong>Vascular plants<br> <br> <strong>Methods:</strong> Distribution range maps were extracted from the Chorological Database to derive information on the range and niche sizes of 517 European vascular plant species. To estimate local abundance, we assessed samples from 744,513 vegetation plots in the European Vegetation Archive, where local species' abundance is available as plant cover per plot. We then calculated the 'centrality', i.e. the distance between the location of the abundance observation and each species' range centre in geographic and climatic space. The climatic suitability of plot locations was estimated using coarse-grain species distribution models (SDMs). The relationships between centrality or climatic suitability with abundance were tested using linear models and quantile regression. We summarized the overall trend across species' regression slopes from linear models and quantile regression using a meta-analytical approach.<br> <br> <strong>Results: </strong>We did not detect any positive relationships between a species' mean local abundance and the size of its geographic range or climatic niche. Contrasting yet significant correlations were detected between abundance and centrality or climatic suitability among species.<br> <br> <strong>Main conclusions:</strong> Our results do not provide unequivocal support for any of the relationships tested, demonstrating that determining properties of species' distributions at large grains and extents might be of limited use for predicting local abundance, including current SDM approaches. We conclude that environmental factors influencing individual performance and local abundance are likely to differ from those factors driving plant species' distribution at coarse resolution and broad geographic extents.</p>
Data from: Climate suitable planting as a strategy for maintaining forest productivity and functional diversity
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Data from: Testing macroecological abundance patterns: the relationship between local abundance and range size, range position and climatic suitability among European vascular plants
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Fig. 2 in Habitat suitability assessment of the rare perennial plant Armeria arenaria (Pers.) Schult. (Plumbaginaceae) along the French Mediterranean coastline
Fig. 2. – Ordination diagrams of the Outlying Mean Analysis (OMI). A. Scatter plots of 78 sampling sites along OMI axis 1 and axis 2 with some plant species displayed [Slo: slope; Ori: orientation of the slope; Roc: rock cover; Ph: mean soil pH value; Soi: bare soil cover; Herb: herbaceous cover; Veg: total vegetation cover; Srh: shrubs cover, Tre: tree cover]; B. Sampling sites with Armeria arenaria (Pers.) Schult. are indicated with a symbol size proportional to the log of abundance measured in 2007; C. Sampling sites with A. arenaria are indicated with a symbol size proportional to the juvenile frequency measured in 2007; D. Dots are for sampling sites without A. arenaria.
Fig. 1 in Habitat suitability assessment of the rare perennial plant Armeria arenaria (Pers.) Schult. (Plumbaginaceae) along the French Mediterranean coastline
Fig. 1. – Map of the study site with location of sampling sites with and without Armeria arenaria (Pers.) Schult.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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