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91 results for “defoliation”
FIGURES 10–18 in Three new species of genus Sinophorus Förster (Hymenoptera, Ichneumonidae) parasitizing twig and defoliating Lepidoptera
FIGURES 10–18. Sinophorus nigrus Sheng, sp. n. Female. Holotype. 10. Habitus, lateral view. 11. Head, anterior view. 12. Head, dorsal view. 13. Mesoscutum. 14. Mesopleuron. 15. Propodeum. 16. First tergite, lateral view. 17. Second and third tergites. 18. Cocoon.
FIGURES 1–9 in Three new species of genus Sinophorus Förster (Hymenoptera, Ichneumonidae) parasitizing twig and defoliating Lepidoptera
FIGURES 1–9. Sinophorus bazariae Sheng, sp. n. Female. Holotype. 1. Habitus, lateral view. 2. Head, anterior view. 3. Head, dorsal view. 4. Mesoscutum. 5. Mesopleuron. 6. Propodeum. 7. First tergite, lateral view. 8. Second and fourth tergites. 9. Cocoon.
FIGURE 29. Distribution Map. A. Dulan, Qinghai. B. Weichang, Hebei. C in Three new species of genus Sinophorus Förster (Hymenoptera, Ichneumonidae) parasitizing twig and defoliating Lepidoptera
FIGURE 29. Distribution Map. A. Dulan, Qinghai. B. Weichang, Hebei. C. Fengtai Forest Farm, Ningxia.
FIGURES 19–28 in Three new species of genus Sinophorus Förster (Hymenoptera, Ichneumonidae) parasitizing twig and defoliating Lepidoptera
FIGURES 19–28. Sinophorus zeirapherae Sheng, sp. n. Female. Holotype. 19. Habitus, lateral view. 20. Head, anterior view. 21. Head, dorsal view. 22. Mesoscutum. 23. Mesopleuron. 24. Propodeum. 25. First tergite, lateral view. 26. Second and third tergites. 27, 28. Cocoons.
Fig. 2 in Reproductive Development Of The Tasmanian Eucalypt-Defoliating Beetles Chrysophtharta Agricola (Chapuis) And C. Bimaculata (Olivier) (Coleoptera: Chrysomelidae: Paropsini)
Fig. 2. Diagrammatic representation of the female reproductive system of Chrysophtharta bimaculata, where F = filament, O = ovariole, C = calyx, LO = lateral oviduct, CO = common oviduct, S = spermatheca, BC = bursa copulatrix, and the scale bar represents approximately 1 mm. Morphological differences between the reproductive systems of C. bimaculata and C. agricola are described in the text.
Fig. 3 in Reproductive Development Of The Tasmanian Eucalypt-Defoliating Beetles Chrysophtharta Agricola (Chapuis) And C. Bimaculata (Olivier) (Coleoptera: Chrysomelidae: Paropsini)
Fig. 3. Days at 21°C, 16L:8D for 100% of Chrysophtharta agricola males (dashed lines) and females (solid lines) to obtain clearyellow haemolymph (l) and small fat body (v) and for females to attain mature ovarioles (M).
2015-2017 Gypsy Moth Defoliation Assessment (Southern New England)
<p>-------------------------------------------------------------------------------------</p> <p><strong>THIS REPOSITORY IS NO LONGER ACTIVELY MAINTAINED.</strong></p> <p>Please see updated reanalysis products available here: <a href="https://zenodo.org/record/1493407#.XLikbpNKjOQ">https://zenodo.org/record/1493407#.XLikbpNKjOQ</a></p> <p>-------------------------------------------------------------------------------------</p> <p>This dataset accompanies the manuscript, "<strong>Extensive gypsy moth defoliation in Southern New England characterized using Landsat satellite observations"</strong>, and includes Landsat time series-based estimates of gypsy moth defoliation for 2015, 2016, and 2017. The study area is defined by Landsat WRS-2 Path/Rows 12/31 and 13/31 and covers Southern New England (RI, CT, and southern MA). The following data products are available for each year:</p> <ul> <li>GeoTIFF of number of Landsat observations used to estimate changes in condition (*_nobs.tif)</li> <li>GeoTIFF of mean "condition" scores, where values represent the mean of the difference between observed and predicted Tasseled Cap Greenness normalized by the root mean squared error (RMSE) of a harmonic regression mode<strong>l </strong>fit to a 10-year time series of greenness observation for each pixel (*_meanresiduals.tif)</li> <li>GeoTIFF of masked condition scores, where non-forested areas in the mean condition score dataset have been excluded (nodata=-9999) based on a forest/non-forest mask generated from the National Land Cover Dataset (*_meanresiduals_forestmask.tif). The NLCD mask is also included (NLCD_forest_mask.tif)</li> <li>JPEG images showing final products where average difference scores were binned into four severity categories: <em>slight change </em>(deviations 1 to 2 times the model RMSE<em>)</em>, <em>moderate change </em>(deviations 2 to 3 times the model RMSE<em>)</em>, <em>large change </em>(deviations 3 to 4 times the model RMSE<em>)</em>, and <em>very large change </em>(deviations greater than 4 times the model RMSE<em>) </em></li> </ul> <p>All GeoTIFFs are georeferenced and provided in NAD/Conus Albers (EPSG: 5070).</p> <p>Near-real-time monitoring results (i.e. condition score GeoTIFFs for each acquisition date during the May-September monitoring period) available by request.</p> <p>For more on the methods used to generate these datasets, see Pasquarella, V.J., Bradley, B.A, & Woodcock, C.E. Near-real-time monitoring of insect defoliation using Landsat time series. <em>Forests</em> <em>8</em>(8), 275; doi:10.3390/f8080275, available online: http://www.mdpi.com/1999-4907/8/8/275</p> <p> </p> <p> </p>
Supplementary material 1 from: Ridenbaugh RD, Barbeau E, Sharanowski BJ (2018) Description of four new species of Eadya (Hymenoptera, Braconidae), parasitoids of the Eucalyptus Tortoise Beetle (Paropsis charybdis) and other Eucalyptus defoliating leaf beetles. Journal of Hymenoptera Research 64: 141-175. https://doi.org/10.3897/jhr.64.24282
Table S1 : Explanation note: List of all materials examined along with collecting localities, its type designation and location of deposition, and associated DNA voucher number or unique identifier. Eadya annleckieae Ridenbaugh, sp. n. is referred to as Eadya sp.1, Eadya spitzer Ridenbaugh, sp. n. is referred to as Eadya sp.2, and Eadya daenerys Ridenbaugh, sp. n. is referred to as Eadya sp.3.
Data from: Spatial modeling improves understanding patterns of invasive species defoliation by a biocontrol herbivore
Spatial modeling has proven to be useful in understanding the drivers of plant populations in the field of ecology, but has yet to be applied to understanding variation in biocontrol impact. In this study, we employ multi-scale analysis (Moran's Eigenvector Maps) to better understand the variation in tree canopy exposed to defoliation by a biocontrol beetle (Diorhabda spp.). The control of the exotic tree Tamarix in riparian areas has long been a priority for land managers and ecologists in the American southwest. Diorhabda spp. was introduced as a bio-control agent beginning in 2001 and has since become an inseparable part of Tamarix-dominated river systems in the southwest. Between 2013 and 2016 tamarisk dieback was assessed at 79 sites across Grand County, Utah, arguably the epicenter of Diorhabda impact in the U.S. Canopy cover of Tamarix was between 73%-81% at these sites, with the percent that was live cover fluctuating by year with a minimum of 42%. Using a traditional general linear model, we found that readily and commonly measured environmental factors could explain only up to 26% of the variation in Tamarix live canopy each year, including that number of defoliations was correlated with an increase rather than a decrease in percent live canopy, suggesting compensatory growth. Spatial structure alone explained 22-40% of variation. We found fine scale spatial structure at less than 10 km and broad scale spatial structure from 10-30 km. Combining both traditional and novel spatial statistical methods we increased that percentage to 43-63%, depending on year. These results suggest that scientists and land managers must look beyond commonly measured environmental variables to explain non-random biocontrol impact in this system. In particular, this study points to the potential for biotic interactions and variation in flood cycles for further exploration of the identified spatial structure.
Effect of defoliation on competition between Poa annua plants
<p>This dataset shows shoot and root masses of Poa annua plants grown in split root boxes with N supplied equally or unequally to the two chambers. In expt 1, half the plants are subject to defoliation, while in expt 2, pairs of plants are grown in a three-chamber split root box with a shared center (competition) chamber. N was supplied either to the outer or center chamber, and half of the "competitor" plants were subject to defoliation</p>
Data from: Continent-wide population genomic structure and phylogeography of North America’s most destructive conifer defoliator, the spruce budworm (Choristoneura fumiferana)
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Data from: Hurricane-mediated defoliation of kelp beds and pulsed delivery of kelp detritus to offshore sedimentary habitats
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Data from: Spatial modeling improves understanding patterns of invasive species defoliation by a biocontrol herbivore
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Climate change and defoliation interact to affect root length across northern temperate grasslands
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Segregation data of maize populations exposed to water-deficit and defoliation stress
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Data from: Defoliation of a grass by reindeer is compensated by the positive effects of its soil legacy, dung deposition, and moss removal
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Data from: The dynamics of recovery and growth: how defoliation affects stored resources
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Data from: Defoliation by pastoralists affects savanna tree seedling dynamics by limiting the facilitative role of canopy cover
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Data from: Insect outbreaks alter nutrient dynamics in a southern African savanna: patchy defoliation of Colophospermum mopane savanna by Imbrasia belina larvae
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Data from: Molecular variability and genetic structure of Chrysodeixis includens (Lepidoptera: Noctuidae), an important soybean defoliator in Brazil
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