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104 results for “wood beetles”
Data from: Choosy beetles: how host trees and southern boreal forest naturalness may determine dead wood beetle communities
<p>See methods section of paper for detailed information on dataset and sources; briefly, these .csv files includes numbers of each beetle species captured at all sites used in the project, as well as information about each site and about each species.</p> <p> </p> <p>Data from:</p> <p><strong>Choosy beetles: how host trees and southern boreal forest naturalness may determine dead wood beetle communitie</strong><strong>s</strong></p> <p>Ryan C. Burner, Tone Birkemoe, Jörg G. Stephan, Lukas Drag, Jörg Muller, Otso Ovakainen, Mária Potterf, Olav Skarpaas, Tord Snall, Anne Sverdrup-Thygeson</p> <p>Forest Ecology and Management, 2021</p> <p> </p> <p>From abstract of paper:</p> <p>Wood-living beetles make up a large proportion of forest biodiversity, and contribute to important ecosystem services, including decomposition. Beetle communities in managed southern boreal forests are less species rich than in natural and near-natural forest stands. In addition, many beetle species rely primarily on specific tree species. Yet, the associations between individual beetle species, forest management category, and tree species are seldom quantified, even for red-listed beetles. We compiled a beetle capture dataset from flight intercept traps placed in Norway spruce (<em>Picea abies</em>), oak (<em>Quercus sp.</em>), and Eurasian aspen (<em>Populus tremulae</em>) trees in 413 sites in mature managed forest, near-natural forest, and clear-cuts in southeastern Norway. We used joint species distribution models to estimate the strength of associations for 368 saproxylic beetle species (including 20 vulnerable, endangered, or critical red-listed species) for each forest management category and tree species. Tree species on which traps were mounted had the largest effect on beetle communities; oaks had the most highly associated beetle species, including most of the red-listed species, followed by Norway spruce and Eurasian aspen. Most beetle species were more likely to be captured in near-natural than in mature managed forest. Our estimated associations were compatible – for many species – with categorical classifications found in several existing databases of saproxylic beetle preferences. These quantitative beetle-habitat associations will improve future analyses that have typically relied on categorical classifications. Our results highlight the need to prioritize conservation of near-natural forests and oak trees in Scandinavia to protect the habitat of many red-listed species in particular. Furthermore, we underline the importance of carefully considering the species of trees on which traps are mounted in order to representatively sample beetle communities in forest stands.</p>
Data from "Resource pulses drive spatio-temporal dynamics of non-native bark beetles and wood borers"
<p>This is a compilation of datasets that were used for the publication entitled "Resource pulses drive spatio-temporal dynamics of non-native bark beetles and wood borers" by Eckehard G. BROCKERHOFF, Stephanie L. SOPOW, and Martin K.-F. BADER, published in the Journal of Applied Ecology, 'in press' in October 2024.</p> <p>Note: The date format is either (i) season (spring/summer/autumn/winter) plus a two-figure short form for the year (e.g., "autumn08" stands for autumn 2008), or (ii) just the year for an annual total in either four- or two-figure form in the file name (e.g., "reg2010sums.csv" or "reg10sums.csv" for the year 2010).</p> <p>1. File "mean_trap_catches.csv" = Data used for Fig. 1 - Mean trap catch data of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus over time in Kaingaroa forest stands 378 ("F2006"), 377 ("F2009"), and 383 ("F2010"). For further explanations see methods of Brockerhoff et al. (2024).</p> <p>2. File "reg2010sums.csv" = Data used for Fig. 2 - Year 2010, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 2 in Brockerhoff et al. (2024).</p> <p>3. File "reg2010sums.csv" = Data used for Fig. 2 - Year 2011, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 2 in Brockerhoff et al. (2024).</p> <p>4. File "reg2010sums.csv" = Data used for Fig. 2 - Year 2012, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 2 in Brockerhoff et al. (2024).</p> <p>5. File "reg10sums.csv" = Data used for Fig. 3 - Year 2010, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 3 in Brockerhoff et al. (2024).</p> <p>6. File "reg11sums.csv" = Data used for Fig. 3 - Year 2011, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 3 in Brockerhoff et al. (2024).</p> <p>7. File "reg12sums.csv" = Data used for Fig. 3 - Year 2012, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 3 in Brockerhoff et al. (2024).</p> <p>8. File "hylu2010-fitted_dispersal_to_5km-Version_23May2024.csv" = Data shown in Fig. 4 - Extension of the prediction range to 5 km of Hylurgus ligniperda dispersal data, using a generalised additive mixed model (GAMM) with beta distributed errors and the default logarithmic link. For details see caption of Fig. 4 and methods in Brockerhoff et al. (2024).</p> <p> </p>
Fig. 2 in Dead wood modifies mobility of ground beetles
Fig. 2. The average amount of time spent by carabids inside the fenced plots with dead wood (DW) and inside the fenced control plots (C)
Fig. 4 in Dead wood modifies mobility of ground beetles
Fig. 4. The catch rate of unmarked individuals of P. oblongopunctatus inside fenced the DW and C plots
Fig. 1 in Dead wood modifies mobility of ground beetles
Fig. 1. The four zones on the ground beetle elytra where respective numbers were incised (drawing by J. Skłodowski)
Data from: Environmental conditions alter successional trajectories on an ephemeral resource: a field experiment with beetles in dead wood
<p>Successional processes can be observed for many organisms and resources, but most studies of succession have focused on plants. A general framework has been proposed, advocating that successional patterns in species turnover are predominantly driven by competition, dispersal or abiotic limitation, and that the patterning of species accumulation over time gives clues to which process is most influential in a given system. We applied this framework to succession in communities of wood-living beetles, utilizing ephemeral resources in the form of 60 experimentally created dead aspen high stumps. High stumps were created at sun-exposed sites (high ambient temperature; favorable abiotic conditions) and shaded sites (low ambient temperature; abiotically limiting conditions). The sites were intermixed, ensuring similar dispersal opportunities. Beetle species richness and abundance were monitored with flight interception traps over four consecutive years. Consistent with predictions from the tested framework, several beetle functional groups accumulated species more slowly at the unfavorable shaded sites than at the favorable exposed sites. Species richness at the exposed sites increased rapidly to a plateau, consistent with a limiting effect of competition on community development. Similar results were obtained for beetle abundance and community structure. Part of the variance in beetle community structure was jointly explained by habitat and fungal community composition, suggesting that differences in the composition and developmental rate of fungal communities in the two habitats contributed to the observed patterns. Targeted experimental studies are now required to decisively establish what processes underlie the contrasting successional trajectories in the two environments.</p>
Wood trait preferences of Neotropical xylophagous beetles
<p>Tree life history strategies are correlated with functional plant traits, such as wood density, moisture content, bark thickness, and nitrogen content; these traits affect the nutrients available to xylophagous insects. Cerambycid beetles feed on substrates that vary in these traits, but little is known about how they affect community composition. The goal of this project is to explore the community composition of two cerambycid subfamilies (Cerambycinae and Lamiinae) according to the wood traits in the wood they eat. In a salvage project conducted adjacent to the Panama Canal, trees were felled and exposed to Cerambycidae for oviposition. Disks from branches of differing thickness from the same plant individuals were used to calculate wood density, moisture content, and bark thickness in the field; nitrogen data were acquired offsite. Thick and thin branches tended to differ in wood trait values; therefore, data were analyzed separately in subsequent analyses. In thin branches, cerambycid abundance and species richness were higher in samples with less dense, moister wood, and thicker bark. Thick branches showed similar trends, but the wood traits accounted for little variability in beetle abundance or species richness. There were no significant regressions between beetle data and nitrogen. Cerambycines emerged more slowly, and from denser, drier wood, than lamiines. Cerambycines might be more drought-tolerant than lamiines, and therefore more resistant to the longer, more severe dry seasons that are predicted to occur due to climate change.</p>
Fig. 3 in Dead wood modifies mobility of ground beetles
Fig. 3. The rate of marked individual recapture inside the fenced plots DW and C
Data from: Size matters: when resource accessibility by ecosystem engineering elicits wood-boring beetle demographic responses
<p>This data was used to investigate how the age and size of beaver disturbances act as predictors for primary wood-boring beetle abundance and species richness around beaver-altered habitat patches. To do so, we sampled beetles around 16 beaver-disturbed and unaltered watercourses within the Kouchibouguac National Park (Canada) and modeled beetle demographical responses to site conditions and their physical characteristics, distance from the watercourse, deadwood biomass, and the geographical location of the sites.</p>
Beetle diversity in dead wood is lower in non-native than native tree species, especially those more distantly related to native species
<p>1. Non-native tree species are widely used in forest plantations. This may have negative consequences for biodiversity. Hitherto, most studies have compared species diversity between native and non-native forest stands, which makes it difficult to separate the impact of tree species per se from stand characteristics. Our study, conducted in the south of Sweden, compares saproxylic beetle diversity across different nutritional groups, in dead wood of two native and four non-native tree species in a block design after one and three seasons. Such an approach allows analysis of the impact of non-native tree species per se.</p> <p>2. Mean species richness (±SD) per log was lower in non-native than in native tree species (non-native trees: lodgepole pine: 10.7 (± 5.3); Sitka spruce: 8.5 (± 4.3), Douglas fir: 7.1 (± 4.3), Japanese larch 9.4 (± 4.6); native trees: Norway spruce: 12.0 (± 6.0), Scots pine: 12.3 (± 5.2)). Sample-based rarefaction revealed that when only native tree species were pooled, the species richness was higher than for all tree species combined. The difference in species composition among tree species was strongly driven by bark and wood consumers in the first season, while for predators and fungivores, the differences were smaller. Species composition differed more after one season.</p> <p>3. Dissimilarity in beetle species composition was positively correlated with phylogenetic distances of the tree species. Species richness was lower in non-native tree species that are only remotely related to native trees species. Of the studied non-native tree species, lodgepole pine was more closely related to native tree species and consistently harboured higher species richness.</p> <p>4. Synthesis and applications. Although non-native tree species also harbour saproxylic beetle communities, the use of non-native tree species, especially those only remotely related to native tree species, reduces local diversity of saproxylic beetles. Thus, for biodiversity conservation, an extensive use of non-native tree species is not recommended as this increases the risk of losing forest biodiversity, especially when they are only distantly related to native tree species.</p>
Data from: Size matters: when resource accessibility by ecosystem engineering elicits wood-boring beetle demographic responses
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Data from: Magellanic woodpeckers as indicators of wood-dwelling beetle diversity in trees with different levels of decay and under changing environmental conditions
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Beetle diversity in dead wood is lower in non-native than native tree species, especially those more distantly related to native species
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Wood trait preferences of Neotropical xylophagous beetles
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Data from: Environmental conditions alter successional trajectories on an ephemeral resource: a field experiment with beetles in dead wood
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Data from: Conservation value of low-productive forests measured as the amount and diversity of dead wood and saproxylic beetles
In many managed landscapes, low-productive land comprises most of the remaining relatively untouched areas, and is often over-represented within protected areas. The relationship between the productivity and conservational value of a site is poorly known; however, it has been hypothesized that biodiversity increases with productivity due to higher resource abundance or heterogeneity, and that the species communities of low-productive land are a nested sub-set of communities from more productive land. We tested these hypotheses for dead wood-dependent beetles by comparing their species richness and composition, as well as the amount and diversity of dead wood, between low-productive (potential forest growth < 1 m3 ha-1 year-1) and productive Scots pine-dominated stands in Sweden. We included four stand types: stands situated on (i) thin soils and (ii) mires (both low-productive), (iii) managed stands, and (iv) unmanaged stands set aside for conservation purposes (both productive). Beetle species richness and number of red-listed species were highest in the productive set-asides. Species richness was positively correlated with the volume and diversity of dead wood, but volume appeared to be a better predictor than diversity for the higher species richness in set-asides. Beetle species composition was similar among stand types, and the assemblages in low-productive stands were largely subsets of those in productive set-asides. However, 11% of all species and 40% of red-listed species only occurred in productive stands, while no species were unique to low-productive stands. We conclude that low-productive forests are less valuable for conservation than productive forest land. Given the generally similar species composition among stand types, a comparable conservational effect could be obtained by setting aside a larger area of low-productive forest in comparison to the productive. In terms of dead wood volumes, 1.8–3.6 ha of low-productive forest has the same value as 1 ha of unmanaged productive forest. This figure can be used to estimate the conservation value of low productive forests; however, as productive forests harbored some unique species, they are not completely exchangeable.
Species TX OK Distribution Map FH Hosts Pityophthorina Araptus dentifrons Wood 1 1* MEX+NT 103 ph-my Milkweed vines Conophthorus echinatae Wood 1* SEUS 104 my-sp Pinus Conophthorus edulis Hopkins 1 SWNA 104 my-sp Pinus Dendroterus texanus Wood 1 MEX+NT 105 ph Jatropha dioica Pityoborus comatus (Zimmermann) 1 1 SENA 105 xm Pinus Pityophthorus annectens LeConte 1 1 SE+SW 106 ph Pinus Pityophthorus arcanus Bright 1 SWNA 106 ph Pinus Pityophthorus barberi Blackman 1 SWNA 107 ph Pinus Pityophthorus brevis Blackman 1 SWNA 108 ph Pinus Pityophthorus confertus Swaine 1 SWNA 110 ph Pinus Pityophthorus confinis LeConte 1* SWNA 109 ph Pinus Pityophthorus confusus Blandford 1 SE+SW 110 ph Pinus Pityophthorus consimilis LeConte 1 1* SENA 111 ph Pinus Pityophthorus crassus Blackman 1 SWNA 112 ph Pinus Pityophthorus crinalis Blackman 1 1* SENA 109 ph Rhus Pityophthorus deletus LeConte 1 SWNA 111 ph Pinus Pityophthorus grandis Blackman 1 SWNA 113 ph Pinus Pityophthorus guatemalensis Blandford 1 SWNA 112 ph Quercus Pityophthorus lautus Eichhoff 1 1* SENA 112 ph Rhus, Toxicodendron Pityophthorus liquidambarus Blackman 1 SENA 113 ph Liquidambar Pityophthorus pulchellus Eichhoff 1 SE+SW 115 ph Pinus Pityophthorus pulicarius (Zimmermann) 1 1* SENA 114 ph-my Pinus Pityophthorus pullus (Zimmermann) 1 SENA 115 ph Pinus Pityophthorus schwarzi Blackman 1 SWNA 116 ph Pinus Pityophthorus schwerdtfegeri Schedl 1 SWNA 117 ph-my Pinus Pityophthorus scriptor Blackman 1 1 SENA 118 ph Rhus in Atlas and checklist of the bark and ambrosia beetles of Texas and Oklahoma (Curculionidae: Scolytinae and Platypodinae)
Species TX OK Distribution Map FH Hosts Pityophthorina Araptus dentifrons Wood 1 1* MEX+NT 103 ph-my Milkweed vines Conophthorus echinatae Wood 1* SEUS 104 my-sp Pinus Conophthorus edulis Hopkins 1 SWNA 104 my-sp Pinus Dendroterus texanus Wood 1 MEX+NT 105 ph Jatropha dioica Pityoborus comatus (Zimmermann) 1 1 SENA 105 xm Pinus Pityophthorus annectens LeConte 1 1 SE+SW 106 ph Pinus Pityophthorus arcanus Bright 1 SWNA 106 ph Pinus Pityophthorus barberi Blackman 1 SWNA 107 ph Pinus Pityophthorus brevis Blackman 1 SWNA 108 ph Pinus Pityophthorus confertus Swaine 1 SWNA 110 ph Pinus Pityophthorus confinis LeConte 1* SWNA 109 ph Pinus Pityophthorus confusus Blandford 1 SE+SW 110 ph Pinus Pityophthorus consimilis LeConte 1 1* SENA 111 ph Pinus Pityophthorus crassus Blackman 1 SWNA 112 ph Pinus Pityophthorus crinalis Blackman 1 1* SENA 109 ph Rhus Pityophthorus deletus LeConte 1 SWNA 111 ph Pinus Pityophthorus grandis Blackman 1 SWNA 113 ph Pinus Pityophthorus guatemalensis Blandford 1 SWNA 112 ph Quercus Pityophthorus lautus Eichhoff 1 1* SENA 112 ph Rhus, Toxicodendron Pityophthorus liquidambarus Blackman 1 SENA 113 ph Liquidambar Pityophthorus pulchellus Eichhoff 1 SE+SW 115 ph Pinus Pityophthorus pulicarius (Zimmermann) 1 1* SENA 114 ph-my Pinus Pityophthorus pullus (Zimmermann) 1 SENA 115 ph Pinus Pityophthorus schwarzi Blackman 1 SWNA 116 ph Pinus Pityophthorus schwerdtfegeri Schedl 1 SWNA 117 ph-my Pinus Pityophthorus scriptor Blackman 1 1 SENA 118 ph Rhus
Species TX OK Distribution Map FH Hosts Pityophthorus tuberculatus Eichhoff 1 SWNA 119 ph Pinus Pityophthorus venustus Blackman 1 SWNA 120 ph Pinus Pityophthorus virilis Blackman 1 SWNA 121 ph Rhus Pityotrichus barbatus (Blackman) 1 SWNA 115 ph Pinus Pseudopityophthorus asperulus (LeConte) 1 1* SENA 122 ph Quercus Pseudopityophthorus denticulus Wood 1 SWNA 123 ph Quercus Pseudopityophthorus minutissimus (Zimmermann) 1* 1* SENA 124 ph Quercus Pseudopityophthorus pruinosus (Eichhoff) 1 1* SE+MEX 125 ph Quercus Pseudopityophthorus pubescens Blackman 1* 1 SENA 126 ph Quercus Pseudopityophthorus yavapaii Blackman 1* SWNA 127 ph Quercus Corthylina Corthylus punctatissimus (Zimmermann) 1* SENA 130 xm polyphagous Gnathotrichus denticulatus Blackman 1 SWNA 128 xm Pinus Gnathotrichus materiarius (Fitch) 1 1 SENA 129 xm polyphagous Gnathotrichus pilosus (LeConte) 1* SWNA 129 xm Monarthrum dentigerum (LeConte) 1 SWNA 130 xm Quercus Monarthrum fasciatum (Say) 1 1* SENA 131 xm polyphagous Monarthrum mali (Fitch) 1 1* SENA 132 xm polyphagous in Atlas and checklist of the bark and ambrosia beetles of Texas and Oklahoma (Curculionidae: Scolytinae and Platypodinae)
Species TX OK Distribution Map FH Hosts Pityophthorus tuberculatus Eichhoff 1 SWNA 119 ph Pinus Pityophthorus venustus Blackman 1 SWNA 120 ph Pinus Pityophthorus virilis Blackman 1 SWNA 121 ph Rhus Pityotrichus barbatus (Blackman) 1 SWNA 115 ph Pinus Pseudopityophthorus asperulus (LeConte) 1 1* SENA 122 ph Quercus Pseudopityophthorus denticulus Wood 1 SWNA 123 ph Quercus Pseudopityophthorus minutissimus (Zimmermann) 1* 1* SENA 124 ph Quercus Pseudopityophthorus pruinosus (Eichhoff) 1 1* SE+MEX 125 ph Quercus Pseudopityophthorus pubescens Blackman 1* 1 SENA 126 ph Quercus Pseudopityophthorus yavapaii Blackman 1* SWNA 127 ph Quercus Corthylina Corthylus punctatissimus (Zimmermann) 1* SENA 130 xm polyphagous Gnathotrichus denticulatus Blackman 1 SWNA 128 xm Pinus Gnathotrichus materiarius (Fitch) 1 1 SENA 129 xm polyphagous Gnathotrichus pilosus (LeConte) 1* SWNA 129 xm Monarthrum dentigerum (LeConte) 1 SWNA 130 xm Quercus Monarthrum fasciatum (Say) 1 1* SENA 131 xm polyphagous Monarthrum mali (Fitch) 1 1* SENA 132 xm polyphagous
Species TX OK Distribution Map FH Hosts Scolytini Scolytina Scolytus fagi Walsh 1? SENA 33 ph Celtis, Quercus Scolytus multistriatus (Marsham) 1 1 EX 34 ph Ulmus Scolytus muticus Say 1 1 SENA 35 ph Celtis Scolytus quadrispinosus Say 1 1* SENA 37 ph Carya Scolytus rugulosus (Muller) 1 1 EX 38 ph Prunus Scolytus schevyrewi Semenov 1 1 EX 36 ph Ulmus Hexacolina Pycnarthrum hispidum (Ferrari) 1 MEX+NT 39 ph Ficus Micracina Hylocurus binodatus Wood 1 SENA xy Hylocurus flaglerensis Blackman 1* SENA 41 xy Hylocurus floridensis Atkinson 1* SENA 40 xy Hylocurus langstoni (Blackman) 1 1* SENA 42 xy Hylocurus parkinsoniae Blackman 1 MEX+NT 40 xy Hylocurus rudis (LeConte) 1 1 SENA 43 xy polyphagous Hylocurus schwarzi Blackman 1 SENA 41 xy Micracis suturalis LeConte? 1* SENA 44 xy polyphagous Micracis swainei Blackman 1? SENA 44 xy polyphagous Micracisella nanula (LeConte) 1 1 SENA 45 my polyphagous Micracisella opacithorax (Schedl) 1 MEX+NT 45 my polyphagous Pseudothysanoes acaciae (Blackman) 1 MEX+NT 46 ph Legume trees Pseudothysanoes dislocatus (Blackman) 1 SENA 46 ph Carya Pseudothysanoes frondicolens Wood 1* SWNA 47 ph Yucca Pseudothysanoes heliura Wood 1 MEX+NT 47 xy Pseudothysanoes huachucae Blackman 1 SWNA 48 ph Quercus in Atlas and checklist of the bark and ambrosia beetles of Texas and Oklahoma (Curculionidae: Scolytinae and Platypodinae)
Species TX OK Distribution Map FH Hosts Scolytini Scolytina Scolytus fagi Walsh 1? SENA 33 ph Celtis, Quercus Scolytus multistriatus (Marsham) 1 1 EX 34 ph Ulmus Scolytus muticus Say 1 1 SENA 35 ph Celtis Scolytus quadrispinosus Say 1 1* SENA 37 ph Carya Scolytus rugulosus (Muller) 1 1 EX 38 ph Prunus Scolytus schevyrewi Semenov 1 1 EX 36 ph Ulmus Hexacolina Pycnarthrum hispidum (Ferrari) 1 MEX+NT 39 ph Ficus Micracina Hylocurus binodatus Wood 1 SENA xy Hylocurus flaglerensis Blackman 1* SENA 41 xy Hylocurus floridensis Atkinson 1* SENA 40 xy Hylocurus langstoni (Blackman) 1 1* SENA 42 xy Hylocurus parkinsoniae Blackman 1 MEX+NT 40 xy Hylocurus rudis (LeConte) 1 1 SENA 43 xy polyphagous Hylocurus schwarzi Blackman 1 SENA 41 xy Micracis suturalis LeConte? 1* SENA 44 xy polyphagous Micracis swainei Blackman 1? SENA 44 xy polyphagous Micracisella nanula (LeConte) 1 1 SENA 45 my polyphagous Micracisella opacithorax (Schedl) 1 MEX+NT 45 my polyphagous Pseudothysanoes acaciae (Blackman) 1 MEX+NT 46 ph Legume trees Pseudothysanoes dislocatus (Blackman) 1 SENA 46 ph Carya Pseudothysanoes frondicolens Wood 1* SWNA 47 ph Yucca Pseudothysanoes heliura Wood 1 MEX+NT 47 xy Pseudothysanoes huachucae Blackman 1 SWNA 48 ph Quercus
Species TX OK Distribution Map FH Hosts Xylosandrus crassiusculus (Motschulsky) 1 1* EX 83 xm polyphagous Cryphalina Cryptocarenus seriatus Eggers 1 MEX+NT 84 my polyphagous Hypothenemus brunneus (Hopkins) 1 EX 85 ph-my polyphagous Hypothenemus californicus Hopkins 1 1* EX 86 ph-my polyphagous Hypothenemus columbi Hopkins 1 EX 87 ph-my polyphagous Hypothenemus crudiae (Panzer) 1 1* EX 88 ph-my polyphagous Hypothenemus dissimilis (Zimmermann) 1 1* SENA 89 ph-my polyphagous Hypothenemus distinctus Wood 1* 1 SENA 90 ph-my polyphagous Hypothenemus erectus LeConte 1 EX 90 ph-my polyphagous Hypothenemus eruditus Westwood 1 1* SE+NT 91 ph-my polyphagous Hypothenemus gossypii (Hopkins) 1* 1* MEX+NT 92 ph-my polyphagous Hypothenemus interstitialis (Hopkins) 1 1* SE+NT 93 ph-my polyphagous Hypothenemus miles (LeConte) 1 SENA 95 ph-my Hypothenemus obscurus (F.) 1 SE+NT 94 ph-my polyphagous Hypothenemus parvistriatus Wood 1* MEX+NT 95 ph-my Hypothenemus pubescens Hopkins 1 SE+NT 95 ph-my polyphagous Hypothenemus rotundicollis (Eichhoff) 1 1 SE+MEX 96 ph-my polyphagous Hypothenemus seriatus (Eichhoff) 1 1* SE+NT 97 ph-my polyphagous Hypothenemus sparsus Hopkins 1 MEX+NT 98 ph-my Hypothenemus squamosus (Hopkins) 1 MEX+NT 99 ph-my polyphagous Hypothenemus sp. undescribed 1 SENA ph-my Scolytogenes jalapae (Letzner) 1* SE+NT 99 ph-my Convolvulaceae Trischidias atoma (Hopkins) 1 1* SENA 100 myc polyphagous Trischidias exigua Wood 1* 1* SE+NT 101 myc Trischidias striata Atkinson 1* SENA 102 myc in Atlas and checklist of the bark and ambrosia beetles of Texas and Oklahoma (Curculionidae: Scolytinae and Platypodinae)
Species TX OK Distribution Map FH Hosts Xylosandrus crassiusculus (Motschulsky) 1 1* EX 83 xm polyphagous Cryphalina Cryptocarenus seriatus Eggers 1 MEX+NT 84 my polyphagous Hypothenemus brunneus (Hopkins) 1 EX 85 ph-my polyphagous Hypothenemus californicus Hopkins 1 1* EX 86 ph-my polyphagous Hypothenemus columbi Hopkins 1 EX 87 ph-my polyphagous Hypothenemus crudiae (Panzer) 1 1* EX 88 ph-my polyphagous Hypothenemus dissimilis (Zimmermann) 1 1* SENA 89 ph-my polyphagous Hypothenemus distinctus Wood 1* 1 SENA 90 ph-my polyphagous Hypothenemus erectus LeConte 1 EX 90 ph-my polyphagous Hypothenemus eruditus Westwood 1 1* SE+NT 91 ph-my polyphagous Hypothenemus gossypii (Hopkins) 1* 1* MEX+NT 92 ph-my polyphagous Hypothenemus interstitialis (Hopkins) 1 1* SE+NT 93 ph-my polyphagous Hypothenemus miles (LeConte) 1 SENA 95 ph-my Hypothenemus obscurus (F.) 1 SE+NT 94 ph-my polyphagous Hypothenemus parvistriatus Wood 1* MEX+NT 95 ph-my Hypothenemus pubescens Hopkins 1 SE+NT 95 ph-my polyphagous Hypothenemus rotundicollis (Eichhoff) 1 1 SE+MEX 96 ph-my polyphagous Hypothenemus seriatus (Eichhoff) 1 1* SE+NT 97 ph-my polyphagous Hypothenemus sparsus Hopkins 1 MEX+NT 98 ph-my Hypothenemus squamosus (Hopkins) 1 MEX+NT 99 ph-my polyphagous Hypothenemus sp. undescribed 1 SENA ph-my Scolytogenes jalapae (Letzner) 1* SE+NT 99 ph-my Convolvulaceae Trischidias atoma (Hopkins) 1 1* SENA 100 myc polyphagous Trischidias exigua Wood 1* 1* SE+NT 101 myc Trischidias striata Atkinson 1* SENA 102 myc
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.