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Figure 3 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 3. Distribution of Poecilomorpha cyanipennis in Russia.
Figure 14 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 14. Distribution of Zeugophora hozumii.
Figure 10 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 10. Distribution of Zeugophora cupka.
Figure 13 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 13. Distribution of Zeugophora nigricollis in Russia.
Figure 9 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 9. Distribution of Zeugophora bimaculata in Russia.
Figure 6 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 6. Distribution of Temnaspis nankinea in Russia.
Figure 5 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 5. Distribution of Temnaspis japonica in Russia.
Figure 17 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 17. Distribution of Zeugopora turneri in Nortern Asia.
Table 4 in Mites associated with egg masses of the viburnum leaf beetle Pyrrhalta viburni (Paykull) on Viburnum tinus L.
<p><b>Table 4</b> Factors affecting (a) total mite abundance, (b) phytophagous/detritivorous mite abundance, (c) predaceous mite abundance, and (d) diversity of mite morphotypes on <i>Viburnum tinus</i> twigs artificially infested with <i>Pyrrhalta viburni</i> egg masses (ANOVA, α = 0.05) during the timing of mite infestation experiment (2016-2017). Bold values indicate significant effects.</p><table><tbody><tr><th>(a) Total mite abundance</th><th></th><th>df</th><th>F-value</th><th><i>P</i> -value</th></tr></tbody><tbody><tr><th></th><td></td><td>8, 93</td><td>5.84</td><td><b><0.0001</b></td></tr><tr><th>Effects tested</th><td>Time of collection</td><td>2</td><td>6.04</td><td><b><0.01</b></td></tr><tr><th></th><td>Site</td><td>3</td><td>1.73</td><td>0.16</td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>0.62</td><td>0.43</td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>13.85</td><td><b><0.001</b></td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>6.73</td><td><b>0.01</b></td></tr><tr><th>(b) Phytophagous/Detritivorous mite abundance</th><td>df</td><td>F-value</td><td><i>P</i> -value</td></tr><tr><th></th><td></td><td>8, 93</td><td>3.52</td><td><b><0.01</b></td></tr><tr><th>Effects tested</th><td>Time of collection</td><td>2</td><td>5.53</td><td><b><0.01</b></td></tr><tr><th></th><td>Site</td><td>3</td><td>1.88</td><td>0.14</td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>0.2</td><td>0.65</td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>3.39</td><td>0.07</td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>1.19</td><td>0.27</td></tr><tr><th>(c) Predaceous mite abundance</th><td></td><td>df</td><td>F-value</td><td><i>P</i> -value</td></tr><tr><th></th><td></td><td>10, 89</td><td>3.38</td><td><b><0.01</b></td></tr><tr><th>Effects tested</th><td>Time of collection</td><td>2</td><td>0.61</td><td>0.54</td></tr><tr><th></th><td>Site</td><td>3</td><td>1.74</td><td>0.16</td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>0.58</td><td>0.44</td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>15.54</td><td><b><0.001</b></td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>8.52</td><td><<b>0.01</b></td></tr><tr><th>(d) Total mite diversity</th><td></td><td>df</td><td>F-value</td><td><i>P</i> -value</td></tr><tr><th></th><td></td><td>10, 89</td><td>3.93</td><td><b><0.001</b></td></tr><tr><th>Effects tested</th><td>Time of collection</td><td>2</td><td>1.04</td><td>0.36</td></tr><tr><th></th><td>Site</td><td>3</td><td>3.27</td><td><b>0.02</b></td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>0.52</td><td>0.47</td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>13.07</td><td><b><0.001</b></td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>2.98</td><td>0.09</td></tr></tbody></table>
Table 2 in Mites associated with egg masses of the viburnum leaf beetle Pyrrhalta viburni (Paykull) on Viburnum tinus L.
<p><b>Table 2</b> List of the mite species found on <i>Viburnum tinus</i> twigs during the study (sp. = species).</p><table><tbody><tr><th><b>Feeding guild</b></th><th><b>Family</b></th><th><b>Genus</b></th><th><b>Species</b></th></tr></tbody><tbody><tr><th>Predaceous</th><td>Phytoseiidae</td><td><i>Typhlodromus</i> (<i>Typhlodromus</i>)</td><td><i>T. phialatus</i></td></tr><tr><th></th><td></td><td><i>Typhlodromus</i> (<i>Anthoseius</i>)</td><td><i>T. recki</i></td></tr><tr><th></th><td></td><td></td><td><i>T. rhenanoides</i></td></tr><tr><th></th><td></td><td><i>Euseius</i></td><td><i>E. gallicus</i></td></tr><tr><th></th><td></td><td><i>Kampimodromus</i></td><td><i>K. aberrans</i></td></tr><tr><th></th><td></td><td><i>Amblyseius</i></td><td>sp.</td></tr><tr><th></th><td>Cunaxidae</td><td><i>Neocunaxoides</i></td><td>sp.</td></tr><tr><th></th><td>Cheyletidae</td><td><i>Cheletogenes</i></td><td><i>C. ornatus</i></td></tr><tr><th></th><td>Anystidae</td><td><i>Anystis</i></td><td><i>A. baccarum</i></td></tr><tr><th>Phytophagous</th><td>Tetranychidae</td><td><i>Tetranychus</i></td><td>sp. (<i>T</i>. <i>urticae</i> group)</td></tr><tr><th></th><td>Tenuipalpidae</td><td><i>Brevipalpus</i></td><td>sp.</td></tr><tr><th>Detritivorous</th><td>Ceratozetidae</td><td><i>Trichoribates</i></td><td><i>T. trimaculatus</i></td></tr><tr><th></th><td>Micreremidae</td><td><i>Micreremus</i></td><td><i>M. brevipes</i></td></tr><tr><th></th><td>Camisiidae</td><td><i>Camisia</i></td><td><i>C. segnis</i></td></tr><tr><th></th><td>Cymbaeremaeidae</td><td><i>Scapheremaus</i></td><td><i>S. patella</i></td></tr><tr><th></th><td>Acaridae</td><td><i>Tyrophagus</i></td><td><i>T. putrescenciae</i></td></tr><tr><th></th><td>Winterschmidtiidae</td><td><i>Calvolia</i></td><td>sp.</td></tr><tr><th></th><td>Tydeidae</td><td>unknown</td><td>sp.</td></tr></tbody></table>
Table 3 in Mites associated with egg masses of the viburnum leaf beetle Pyrrhalta viburni (Paykull) on Viburnum tinus L.
<p><b>Table 3</b> Factors affecting the (a) abundance of mites and (b) diversity of mite morphotypes present on <i>Viburnum tinus</i> twigs infested with <i>Pyrrhalta viburni</i> egg masses (Generalized Linear Model, poisson distribution, α = 0.05) during an observational study (2016). Bold values indicate significant effects.</p><table><tbody><tr><th>(a) Mite abundance</th><th>df</th><th>Χ²-value</th><th><i>P</i> -value</th></tr></tbody><tbody><tr><th>Full model</th><td></td><td>9, 90</td><td>49.77</td><td><b><0.0001</b></td></tr><tr><th>Effects tested</th><td>Site</td><td>4</td><td>6.03</td><td>0.2</td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>4.09</td><td><b>0.04</b></td></tr><tr><th></th><td>Shrub infestation</td><td>2</td><td>0.91</td><td>0.63</td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>16.22</td><td><b><0.0001</b></td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>0.37</td><td>0.54</td></tr><tr><th>(b) Mite diversity</th><td></td><td>df</td><td>Χ²-value</td><td><i>P</i> -value</td></tr><tr><th>Full model</th><td></td><td>9, 90</td><td>53.06</td><td><b><0.0001</b></td></tr><tr><th>Effects tested</th><td>Site</td><td>5</td><td>8.5</td><td>0.07</td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>0.77</td><td>0.38</td></tr><tr><th></th><td>Shrub infestation</td><td>2</td><td>8.6</td><td><b>0.01</b></td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>28.88</td><td><b><0.0001</b></td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>1.59</td><td>0.2</td></tr></tbody></table>
Table 1 in Mites associated with egg masses of the viburnum leaf beetle Pyrrhalta viburni (Paykull) on Viburnum tinus L.
<p><b>Table 1</b> Coordinates of the study sites used for the observational study (2016) and the timing of mite infestation experiment (2017).</p><table><tbody><tr><th><b>Observational study 2016</b></th><th><b>Coordinates (Latitude, Longitude)</b></th></tr></tbody><tbody><tr><th>Site 1</th><td>43.683325, 3.874779</td></tr><tr><th>Site 2</th><td>43.667094, 3.851299</td></tr><tr><th>Site 3</th><td>43.769778, 3.787764</td></tr><tr><th>Site 4</th><td>43.716070, 3.848204</td></tr><tr><th>Site 5</th><td>43.681688, 3.878901</td></tr><tr><th><b>Timing mite infestation 2017</b></th></tr><tr><th>Site 1</th><td>43.682444, 3.880156</td></tr><tr><th>Site 2</th><td>43.676900, 3.874368</td></tr><tr><th>Site 3</th><td>43.714209, 3.861153</td></tr><tr><th>Site 4</th><td>43.708495, 3.837012</td></tr></tbody></table>
Delta-15N values for leaf and soil samples from a mesocosm experiment looking at dung beetle presence and the movement of dung-derived nitrogen (DDN)
<b>Description: </b><p>We deployed 18 mesocosms into each of the ecosystem types (logged forest and oil palm) in mid-May 2016, to give the soil one month to recover from the disturbance. We constructed mesocosms from black plastic containers, 40 cm diameter and 25 cm high after removing the base. We dug mesocosms 20 cm into the ground leaving 5cm above the surface. We arranged them in a 6 x 3 grid with a minimum of 3 m between each mesocosm to minimise interaction between the soil nutrient cycling in each mesocosm. As proximity of the seedlings to mature trees may increase competition for nitrogen and other nutrients we recorded the distance of each mesocosm to the nearest mature tree (any species with diameter at breast height > 30 cm) for inclusion in our analyses. <br>We randomly selected 12 of the mesocosms, to receive 15N-labelled dung patties weighing 300 ± SD 2.27 g in logged forest and 410 ± SD 2.04 g in oil palm. We populated six randomly selected mesocoms from within those 12 treated with dung with a standardised dung beetle communities (Fig. 1, Table S2). The remaining six mesocosms were left as soil only controls. We covered each mesocosm with a fine nylon mesh secured with a rubber belt to prevent beetles leaving or colonising the mesocosms, and to standardise any microclimatic effects between treatments. However, after 48 hours we opened the dung beetle treatments for a 24 hours period to allow the beetles to emigrate rather than forcing them to artificially stay in the same pat (cf. Roslin 2000; Slade et al. 2017), and then re-covered the mesocosms with netting.<br>We sampled soil seven times from logged forest over the course of the experiment. Any remaining surface dung was removed prior to soil sampling, and replaced thereafter, in order to reduce the possibility of contamination. If a soil core was unsuccessful (most likely due to beetle channels) a second core was taken directly beside. On each sample day, a core of 10cm depth was taken and split into vertical horizons 0- 2cm, 2-5 cm and 5-10cm. <br>We sampled leaves eight times over the eight-month duration of the experiment, with high frequency during the first month, aimed to capture the initial assimilation of DDN into the plants. We collected one leaf from the Dipterocarpaceae or palm seedlings for each sample event. For dipterocarp seedlings we alternated collection of the terminal leaf from top and bottom (leaving the topmost, newest leaf) between consecutive sample days, and for palm seedlings we sampled the two penultimate leaflets from alternating sides of the mid-stem, from the youngest fully formed frond. As assimilated 15N did not plateau in logged forest during the 8-month timeframe of the experiment, we took a sample after 21 months in order to determine whether all DDN had been turned over in the plant biomass after this time.<br>The leaf and soil samples were dried at 60°C for a minimum of 48 hours. We then ground samples to a fine powder using a ball mill (Retsch UK Ltd., Hope, UK). We weighed ground samples into 6 x 4 mm ultraclean tin capsules (Elemental Microanalysis Ltd., Okehampton, UK) using an ultra-microbalance with readability 1 μg (Mettler-Toledo, Greifensee, Switzerland) to provide sufficient elemental carbon and nitrogen for analysis by continuous flow isotope ratio mass spectrometry (SERCON, Crewe, UK). <br>Isotope ratios are expressed in per mil (‰) relative to international reference standards (Rstandard), which are Atmospheric Nitrogen and Vienna PeeDee Belemnite (VPDB) for nitrogen and carbon, respectively. The delta value describes the isotopic composition of each sample, which signifies a measurement of difference relative to laboratory standards. The calculation of δ values is given by: <br>δHX = [(RSAMPLE /RSTANDARD −1)]*1000</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/11"><b>Using stable isotopes to link biogeochemical processes to biodiversity of conservation concern</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (Research grant, NE/K016148/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2 (374) )</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2 JLD.4 (41))</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM.1000-2/2 JLD.5 (153))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=5113431">here</a></p><p><b>Files: </b>This consists of 1 file: 3_Kemp_15N_mesocosms_data.xlsx</p><p><b>3_Kemp_15N_mesocosms_data.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>OP leaf</b> (described in worksheet OP_leaf)</p><p>Description: Details the δ15N of leaves sampled in oil palm from palm seedlings across eight sample days up to day 233. </p><p>Number of fields: 13</p><p>Number of data rows: 144</p><p>Fields: </p><ul><li><b>Name</b>: Code for date (ddmm), mesocosms ID and depth (00 = surface; 02 = 2 cm belowground; 05 = 5 cm belowground, and 10 = 10 cm belowground) (Field type: id)</li><li><b>Day</b>: Experimental day as the number of days since day zero (defined by the planting of the seedlings, either dipterocarps or palms) (Field type: id)</li><li><b>Day2</b>: Experimental day as a factor (Field type: id)</li><li><b>Mesocosm</b>: Unique identifier for each of the 18 mesocosms (Field type: id)</li><li><b>Treatment</b>: Treatment assignment (Field type: categorical)</li><li><b>DistMature</b>: Distance from the nearest mature tree (any species with diameter at breast height > 30 cm). (Field type: numeric)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>d15N</b>: the delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>d13C</b>: the delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li></ul></li><li><p><b>LFE leaf</b> (described in worksheet LFE_leaf)</p><p>Description: Details the δ15N of leaves sampled in logged forest, taken from dipterocarp seedlings across nine sample days, up to day 625.</p><p>Number of fields: 13</p><p>Number of data rows: 147</p><p>Fields: </p><ul><li><b>Name</b>: Code for date (ddmm), mesocosms ID and depth (00 = surface; 02 = 2 cm belowground; 05 = 5 cm belowground, and 10 = 10 cm belowground) (Field type: id)</li><li><b>Day</b>: Experimental day as the number of days since day zero (defined by the planting of the seedlings, either dipterocarps or palms) (Field type: id)</li><li><b>Day2</b>: Experimental day as a factor (Field type: id)</li><li><b>Mesocosm</b>: Unique identifier for each of the 18 mesocosms (Field type: id)</li><li><b>Treatment</b>: Treatment assignment (Field type: categorical)</li><li><b>DistMature</b>: Distance from the nearest mature tree (any species with diameter at breast height > 30 cm). (Field type: numeric)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>d15N</b>: the delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>d13C</b>: the delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li></ul></li><li><p><b>LFE soil</b> (described in worksheet LFE_soil)</p><p>Description: Details the δ15N of soil sampled in logged forest across seven sample days up to day 64</p><p>Number of fields: 14</p><p>Number of data rows: 375</p><p>Fields: </p><ul><li><b>Name</b>: Code for date (ddmm), mesocosms ID and depth (00 = surface; 02 = 2 cm belowground; 05 = 5 cm belowground, and 10 = 10 cm belowground) (Field type: id)</li><li><b>Day</b>: Experimental day as the number of days since day zero (defined by the planting of the seedlings, either dipterocarps or palms) (Field type: id)</li><li><b>day2</b>: Experimental day as a factor (Field type: id)</li><li><b>Mesocosm</b>: Unique identifier for each of the 18 mesocosms (Field type: id)</li><li><b>Treatment</b>: Treatment assignment (Field type: categorical)</li><li><b>DistMature</b>: Distance from the nearest mature tree (any species with diameter at breast height > 30 cm). (Field type: numeric)</li><li><b>Depth</b>: The depth which the soil sample was taken from, i.e. 0002 is the horizon between the ground surface and 2 cm belowground (Field type: numeric)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>d15N</b>: the delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>d13C</b>: the delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2016-05-01 to 2017-02-01</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p>
Estimating migration of the cold-tolerant leaf beetle Gonioctena quinquepunctata inside a mountain range in a spatially explicit context
<p>The cold-tolerant leaf beetle <em>Gonioctena quinquepunctata</em> displays a large but fragmented European distribution and is restricted to mountain regions in the southern part of its range. Using a RAD-seq-generated large SNP data set (> 10,000 loci), we investigated the geographic distribution of genetic variation within the Vosges mountains, where the species is common. To translate this pattern of variation in an estimate of its capacity to disperse, we simulated SNP data under a spatially explicit model of population evolution and compared the simulated and real data with an approximate Bayesian computation (ABC) approach. For this purpose, we propose a new SNP statistic summarizing genetic variation in a spatially explicit context. The estimated number of effective migrants inferred with this statistic was compared to that derived from a combination of standard population genetic statistics often used in population genetic analyses. We conducted this ABC analysis with a relatively low number of data points compared to traditional ABC analyses, because spatially explicit models require long simulation times. A test of our overall strategy was conducted with simulated data and showed that it could provide a good estimate of the level of dispersal of an organism over its continuous geographic range. We suggest that the lower number of explored data points were at least partially compensated by the much larger number of simulations per data point associated with a large SNP data set. The results of our analyses suggested that this insect disperses well within the Vosges mountains, much more than was initially expected given the current and probably past fragmentation of its habitat and given the results of previous studies on genetic variation in other mountain leaf beetles.</p>
Data from: Multi-locus genomic signatures of local adaptation to snow across the landscape in California populations of a willow leaf beetle
<p>Organisms living in mountains contend with extreme climatic conditions, including short growing seasons and long winters with extensive snow cover. Anthropogenic climate change is driving unprecedented, rapid warming of montane regions across the globe, resulting in reduced winter snowpack. Loss of snow as a thermal buffer may have serious consequences for animals overwintering in soil, yet little is known about how variability in snowpack acts as a selective agent in montane ecosystems. Here we examine genomic variation in California populations of the leaf beetle <em>Chrysomela aeneicollis</em>, an emerging natural model system for understanding how organisms respond to climate change. We used a genotype-environment association approach to identify genomic signatures of local adaptation to microclimate in populations from three montane regions with variable snowpack and a coastal region with no snow. We found that both winter-associated environmental variation and geographic distance contribute to overall genomic variation across the landscape. We identified non-synonymous variation in novel candidate loci associated with cytoskeletal function, ion transport and membrane stability, cellular processes associated with cold tolerance in other insects. These findings provide intriguing evidence that variation in snowpack imposes selective gradients in montane ecosystems.</p>
Data from: Genome assembly of the ragweed leaf beetle, a step forward to better predict rapid evolution of a weed biocontrol agent to environmental novelties
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Data from: Multi-locus genomic signatures of local adaptation to snow across the landscape in California populations of a willow leaf beetle
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Biased predation could promote convergence yet maintain diversity within Müllerian mimicry rings of Oreina leaf beetles
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Data for: Whole-of-community invertebrate rewilding: Leaf litter transplants rapidly increase beetle diversity during restoration
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Estimating migration of the cold-tolerant leaf beetle Gonioctena quinquepunctata inside a mountain range in a spatially explicit context
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