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634 results for “Plant invasions”
Figure 2. a in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 2. a. Unhatched Arcte coerula egg (arrow), 1 mm in diameter. Laid on the underside of host plant leaves; b. Arcte coerula egg mass with 150 hatched eggs.
Figure 11. a in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 11. a. Egg parasitoid of Arcte coerula emerging; b. Trichogramma sp. parasitizing the egg of Arcte coerula; c. Gregarious larval Eulophidae ectoparasitoid of Arcte coerula.
Figure 1. a in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 1. a. Distribution (red dots) of Arcte coerula on the island of Maui: 1 Kahakuloa, 2 ʻĪao Valley, 3 Waikapū, 4 Olowalu, 5 Olinda, 6 Kēōkea; b. Distribution (red dots) of A. coerula on the island of Hawaii: 1 Honokaʻa, 2 Pāpaʻikou, 3 Hilo, 4 Mountain View, 5 Pāhoa, 6 Kalapana, 7 Volcano, 8 Pāhala.
Figure 3 in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 3. First instar larva of Arcte coerula. Black markings (arrow) on its side distinguish these larvae from other Lepidoptera that also use māmaki as a food source.
Figure 7. a in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 7. a. Fifth instar yellow morph Arcte coerula larva; b. Fifth instar black morph A. coerula larva.
Figure 4. a in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 4. a. First instar larva of Vanessa tameamea; b. Larvae typically found in a tent-like protective structure at the edge of a leaf. Photo courtesy of DLNR-DOFAW.
Figure 2 in Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas
Figure 2. Sample units surveyed by year (points indicate sample unit centroids). Milwaukee, 2017–2019 (A–C), Cleveland 2017, 2019 (D, E), St Joseph River 2017 (F), Detroit River 2018, 2019 (G, H), Saginaw River 2018 (I).
Figure 3 in Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas
Figure 3. Species-effort curves for each site, showing number of observed species (Sobs) and average species-effort curve (solid line) with 95% confidence interval (CI, dashed lines). The level of effort required to sample the estimated species total (Sasym; error bars show 95% CI) and 95% (S95%) of Sasym are indicated. Milwaukee (A–C, 2017–2019; D, combined), Cleveland (E, combined data), Detroit River (F, combined data), Saginaw River (G), St Joseph River (H).
Data and Code for "Propagule pressure from historic U.S. plant sales explains establishment but not invasion"
<p>Files used in the creation of "Propagule pressure from historic U.S. plant sales explains establishment but not invasion" manuscript submitted to Ecology Letters.</p>
Figure 4 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 4. The occurrence with data thinned by extraction from subset 1 (A) and subset 2 (B) of occurrence data. The combined output of both is also presented (C). Areas with low uncertainty and above the habitat suitability threshold (i.e. priority areas) are marked in red while areas with high uncertainty are marked in yellow. The grid size of all 3 maps is 1 km2.
Figure 2 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 2. The model performance (regularized training gain) of the MaxEnt model generated using subset 2 of the occurrence data when the variable in question is omitted or used in isolation, compared to the performance of the model when all variables are used.
Figure 6. The occurrence with data from subset 1 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 6. The occurrence with data from subset 1 (A) and subset 3 (B). The combined output of both is also presented (C). Areas with low uncertainty and above the habitat suitability threshold (i.e. priority areas) are marked in red while areas with high uncertainty are marked in yellow. The grid size of all 3 maps is 1 km2.
Figure 7 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 7. "Alert areas", i.e. areas with high probability to be invaded by Elodea nuttallii that are at least 100 km away from any known occurrence point of the species, divided by being inside or outside Natura 2000 site, generated using subset 1 and subset 3 of occurrence data.
Figure 5 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 5. "Alert areas", i.e. areas with high probability to be invaded by Elodea nuttallii that are at least 100 km away from any known occurrence point of the species, divided by being inside or outside Natura 2000 site, generated using subset 1 and subset 2 of occurrence data.
Fig. 3 in Allium Paradoxum (M.Bieb.) G. Don (Amaryllidaceae) - A New Invasive Plant Species For The Flora Of Baltic States
Fig. 3. Allium paradoxum (M. Bieb.) G. Don. in Rumbula, Rīga, Latvia with flowers and bulbils. (Photo: A. Bojāre).
Figure 5 in Motivations and contributions of volunteer groups in the management of invasive alien plants in South Africa's Western Cape province
Figure 5. Challenges (n = 56) faced by individual volunteers in the management of invasive alien plant management in Western Cape, South Africa.
Figure 4 in Motivations and contributions of volunteer groups in the management of invasive alien plants in South Africa's Western Cape province
Figure 4. Reasons for initial engagement (n = 71) in volunteering and the current motivations (n = 86) for volunteers to be involved in the management of invasive alien plant species in Western Cape, South Africa.
Figure 2 in Motivations and contributions of volunteer groups in the management of invasive alien plants in South Africa's Western Cape province
Figure 2. Motivations (n = 35) for forming volunteer groups that remove alien invasive plants in Western Cape, South Africa.
Figure 1 in Motivations and contributions of volunteer groups in the management of invasive alien plants in South Africa's Western Cape province
Figure 1. Identified volunteer groups (52) in Western Cape of South Africa. Groups that participated in the survey (26) are indicated by circles that also show group sizes (individual members per group). Groups that did not participate in the survey are indicated by blue circles. The green area on the map represents the fynbos biome.
Figure 3 in Motivations and contributions of volunteer groups in the management of invasive alien plants in South Africa's Western Cape province
Figure 3. Challenges (n = 26) faced by volunteering by groups in the management of invasive alien plants in Western Cape, South Africa.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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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.