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32 results for “gypsy moth”
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THIS REPOSITORY IS NO LONGER ACTIVELY MAINTAINED.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>
Data from: Geographic variation in larval metabolic rate between northern and southern populations of the invasive gypsy moth
Thermal regimes can diverge considerably across the geographic range of a species, and accordingly, populations can vary in their response to changing environmental conditions. Both local adaptation and acclimatization are important mechanisms for ectotherms to maintain homeostasis as environments become thermally stressful, which organisms often experience at their geographic range limits. The spatial spread of the gypsy moth (Lymantria dispar L.) after introduction to North America provides an exemplary system for studying population variation in physiological traits given the gradient of climates encompassed by its current invasive range. This study quantifies differences in resting metabolic rate (RMR) across temperature for four populations of gypsy moth, two from the northern and two from southern regions of their introduced range in North America. Gypsy moth larvae were reared at high and low thermal regimes, then metabolic activity was monitored at four temperatures using stop-flow respirometry to test for an acclimation response. For all populations, there was a significant increase in RMR as respirometry test temperature increased. Contrary to our expectations, we did not find evidence for metabolic adaptation to colder environments based on our comparisons between northern and southern populations. We also found no evidence for an acclimation response of RMR to rearing temperature for three of the four pairwise comparisons examined. Understanding the thermal sensitivity of metabolic rate in gypsy moth, and understanding the potential for changes in physiology at range extremes, is critical for estimating continued spatial spread of this invasive species both under current and potential future climatic constraints.
Data from: Assessing the potential of genotyping-by-sequencing-derived single nucleotide polymorphisms to identify the geographic origins of intercepted gypsy moth (Lymantria dispar) specimens: a proof-of-concept study
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Data from: Geographic variation in larval metabolic rate between northern and southern populations of the invasive gypsy moth
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Data from: Variation in growth and developmental responses to supraoptimal temperatures near latitudinal range limits of gypsy moth Lymantria dispar (L.), an expanding invasive species
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Data from: How topography induces reproductive asynchrony and alters gypsy moth invasion dynamics
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Data from: Gypsy moth herbivory induced volatiles and reduced parasite attachment to cranberry hosts
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A spatially explicit model to simulate the population dynamics of gypsy moth (Lymantria dispar)
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Data from: Thermal sensitivity of gypsy moth (Lepidoptera: Erebidae) during larval and pupal development
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Data from: Genetic structure, admixture, and invasion success in a Holarctic defoliator, the gypsy moth (Lymantria dispar, Lepidoptera: Erebidae)
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Data from: Evolutionary genomics of gypsy moth populations sampled along a latitudinal gradient
The European gypsy moth (Lymantria dispar L.) was first introduced to Massachusetts in 1869 and within 150 years has spread throughout eastern North America. This large-scale invasion across a heterogeneous landscape allows examination of the genetic signatures of adaptation potentially associated with rapid geographic spread. We tested the hypothesis that spatially divergent natural selection has driven observed changes in three developmental traits that were measured in a common garden for 165 adult moths sampled from six populations across a latitudinal gradient covering the entirety of the range. We generated genotype data for 91,468 single nucleotide polymorphisms (SNPs) based on double digest restriction-site associated DNA sequencing (ddRADseq) and used these data to discover genome-wide associations for each trait, as well as to test for signatures of selection on the discovered architectures. Genetic structure across the introduced range of gypsy moth was small in magnitude (FST = 0.069), with signatures of bottlenecks and spatial expansion apparent in the rare portion of the allele frequency spectrum. Results from applications of Bayesian sparse linear mixed models were consistent with the presumed polygenic architectures of each trait. Further analyses were indicative of spatially divergent natural selection acting on larval development time and pupal mass, with the linkage disequilibrium like component of this test acting as the main driver of observed patterns. The populations most important for these signals were two range-edge populations established less than 30 generations ago. We discuss the importance of rapid polygenic adaptation to the ability of non-native species to invade novel environments.
Data from: Evolutionary genomics of gypsy moth populations sampled along a latitudinal gradient
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