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Data for: Thermoregulation enhances survival but not reproduction in a plant-feeding insect
<p>Temperature influences nearly all aspects of fitness. However, reproduction is often more thermally sensitive than survival. Thermoregulation must maintain performance in both components of fitness to buffer populations from environmental change. We assessed the fitness benefits of thermoregulation in <em>Enchenopa binotata</em> treehoppers. Under realistic mesocosm conditions, we quantified fine-scale microclimates using 3D-printed operative temperature models. We then compared operative temperatures to treehopper body temperatures and translated patterns of thermoregulation into variation in survival and reproduction. We also assessed two thermoregulatory mechanisms: precise microclimate choice and heat escape behaviors. Finally, we applied our results to evaluate if arthropod thermoregulation is accurately characterized by two theoretical models commonly used to simulate responses to environmental change. We found substantial thermal variation at fine spatial scales relevant to insects: at a single point in time, temperatures within 30cm-tall plants spanned ranges up to 19ºC (23-42ºC). Lethal operative temperatures were common when air temperatures were high. However, heat escapes allowed treehoppers to almost entirely avoid lethal temperatures. By contrast, individuals thermo-conformed in the absence of lethal operative temperatures. This finding suggests that precise microclimate choice imposes high costs due to thermal uncertainty at fine spatial scales. Furthermore, given the narrow range of temperatures in which reproduction occurs, thermoregulation is unlikely to maintain reproduction. Thermoregulation was most effective in the lowest-quality and most spatially variable thermal habitats. Treehopper thermoregulation therefore more closely follows cost-benefit models of thermoregulation compared to models that account for inhibited movement at extreme temperatures. Overall, even if thermoregulation can prevent lethal heat stress, thermoregulation may have limited capacity to buffer arthropods and other small ectotherms from environmental change if it cannot maintain reproductive performance.<strong> </strong></p>
Oilseed rape plant phytometers in an agricultural landscape in France - LTSER Zone Atelier Plaine & Val de Sèvre
<p>Fruit set as a proxy of pollination efficiency measured using oilseed rape plant phytometers placed in grasslands, cereals and oilseed rape fields in the LTSER Zone Atelier Plaine & Val de Sèvre. The individual contributions of different processes to pollination were determined using a bagging experiment (large-, small- and osmolux) on plant phytometers.</p> <p>Landscape metrics are available upon reasonable request</p>
Text-fig. 2. Ferns, Ginkgo, and taxodioid conifers. a: Filicalean fern type 1. UAPC-ALTA S sn. b, c: Filicalean fern type 2. b: Overview of specimen, UAPC-ALTA S 59515. c: Detail of (b) to show pinnule shape. d: Azolla primaeva, small plant fragments and rhizoids, BBM-PAL-P000002. e: Metasequoia occidentalis twig with leafy branchlets, BBM- PAL-P000003. f: Ginkgo biloba leaf showing dichotomous venation, GSC 7567. g: Taxodioid branches with flared shoot apices that may represent small cones, UAPC-ALTA S 25090. h: Metasequoia occidentalis branchlet showing opposite leaves, UAPC-ALTA S 59495. i: Taxodioid branchlet showing variation, BBM-PAL-P000004. j: Taxodioid pollen cone, BBM-PAL-P000045. k: Metasequoia seed cone, BBM-PAL-P000005 A. l: cf. Chamaecyparis, BBM-PAL-P000006. Scale bars: a–c, f–l = 1 cm, d = 0.5 cm, e = 2 cm. in The Early Eocene Flora Of Horsefly, British Columbia, Canada And Its Phytogeographic Significance
Text-fig. 2. Ferns, Ginkgo, and taxodioid conifers. a: Filicalean fern type 1. UAPC-ALTA S sn. b, c: Filicalean fern type 2. b: Overview of specimen, UAPC-ALTA S 59515. c: Detail of (b) to show pinnule shape. d: Azolla primaeva, small plant fragments and rhizoids, BBM-PAL-P000002. e: Metasequoia occidentalis twig with leafy branchlets, BBM- PAL-P000003. f: Ginkgo biloba leaf showing dichotomous venation, GSC 7567. g: Taxodioid branches with flared shoot apices that may represent small cones, UAPC-ALTA S 25090. h: Metasequoia occidentalis branchlet showing opposite leaves, UAPC-ALTA S 59495. i: Taxodioid branchlet showing variation, BBM-PAL-P000004. j: Taxodioid pollen cone, BBM-PAL-P000045. k: Metasequoia seed cone, BBM-PAL-P000005 A. l: cf. Chamaecyparis, BBM-PAL-P000006. Scale bars: a–c, f–l = 1 cm, d = 0.5 cm, e = 2 cm.
Figure 5 in Variations in trophic niches of generalist predators with plant community composition as indicated by stable isotopes and fatty acids
Figure 5. Principal components analysis of the relative abundance (mol %, logit- transformed) of individual NLFAs of Trochosa ruricola using body size (small, large), flooding index (FI), plant species richness (SR), plant functional group richness (FG), presence of grasses (Gr), legumes (Leg), small herbs (SH) and tall herbs (TH) as supplementary variables.
Figure 4 in Variations in trophic niches of generalist predators with plant community composition as indicated by stable isotopes and fatty acids
Figure 4. Variations in δ15N signatures of Trochosa ruricola as affected by flooding index (P = 0.04, R2 = 0.12) and body size (small, large; P <0.01).
Figure 1 in Variations in trophic niches of generalist predators with plant community composition as indicated by stable isotopes and fatty acids
Figure 1. Variations in δ15N and δ13C signatures of Harpalus rufipes (black) and Trochosa ruricola (pink) across the study site of the Jena Experiment.
Figure 3 in Variations in trophic niches of generalist predators with plant community composition as indicated by stable isotopes and fatty acids
Figure 3. Principal components analysis of the relative abundance (mol %, logit-transformed) of individual NLFAs of Harpalus rufipes using flooding index (FI), plant species richness (SR), plant functional group richness (FG), presence of grasses (Gr), legumes (Leg), small herbs (SH) and tall herbs (TH) as supplementary variables.
Figure 2 in Aculus taihangensis (Acari: Prostigmata: Eriophyidae), a potential biological control agent identified from the highly invasive pest plant, tree of heaven, in Türkiye
Figure 2. Aculus taihangensis. Prodorsal shield and part of dorsal opisthosoma: A. Protogyne, B. Deutogyne.
Figure 4 in Aculus taihangensis (Acari: Prostigmata: Eriophyidae), a potential biological control agent identified from the highly invasive pest plant, tree of heaven, in Türkiye
Figure 4. Aculus taihangensis – Male: A. Prodorsal shield and part of dorsal opisthosoma, B. Coxigenital region.
Figure 5 in Aculus taihangensis (Acari: Prostigmata: Eriophyidae), a potential biological control agent identified from the highly invasive pest plant, tree of heaven, in Türkiye
Figure 5. Dense aggregation of Aculus taihangensis along the midrib of a leaflet of the tree of heaven.
Figure 1 in Aculus taihangensis (Acari: Prostigmata: Eriophyidae), a potential biological control agent identified from the highly invasive pest plant, tree of heaven, in Türkiye
Figure 1. Map of Türkiye showing the provinces from which leaf samples were collected from the tree of heaven in 2022 and 2023 (* indicates the site in Çanakkale Province at which the eriophyid mite, Aculus taihangensis, was collected).
Shifts in evolutionary lability underlie independent gains and losses of root-nodule symbiosis in a single clade of plants
<p><span>Supplementary Data 4 from the manuscript "Shifts in evolutionary lability underlie independent gains and losses of root-nodule symbiosis in a single clade of plants". </span></p> <p><span>A concatenated alignment of all samples and all loci. This file was used for branch length estimation and not directly for phylogeny reconstruction (though an extraction of each subtree taxonomic samples subset from this alignment would be the alignment used to produce the scaffolded subtrees that were described in the paper). Sequences are labeled by well and can be mapped back to taxon for sub-setting and further use using Supplementary Data 1. </span></p>
PHC. 4. Belondira muhiauicu. n in New species of plant nematodes of the order Dorylaimida, found in Moldavia and other areas of the USSR
PHC. 4. Belondira muhiauicu. n. sp.: /I -cïpymypa rononııoro Kouua uemaronu; E _ noııonme opraııbı caııııa; B - xßocr ca-MKn
Pnc. l in New species of plant nematodes of the order Dorylaimida, found in Moldavia and other areas of the USSR
Pnc. l Laurop /ıragus lauri, n. sp A _ |poclmno-ccncopubxíi omen Tena, B-ııepeilımfl, B B-aaııııflfl 1331111 ï1 fl ' \lflCTH mcm T Tuna 0113; f-nononue opraum caxmm ı
Pm". 3. Bulundiru nmlrluvicu, n. sp .. fl-oöuuıü mul ııexıaroım; 13 -- cßmımep ııpokopnyca rımııeßo1a, B-¬ aanunñ xoneu Tema camua ı in New species of plant nematodes of the order Dorylaimida, found in Moldavia and other areas of the USSR
Pm". 3. Bulundiru nmlrluvicu, n. sp .. fl-oöuuıü mul ııexıaroım; 13 -- cßmımep ııpokopnyca rımııeßo1a, B-¬ aanunñ xoneu Tema camua ı
PHC. 5 in New species of plant nematodes of the order Dorylaimida, found in Moldavia and other areas of the USSR
PHC. 5 Thorncnc / nu urulifu, n.:p A ncpeïuuñ Koııeıı Tena; B —- xnocT ueuaronbl, B -ıınııonue IIOIIODLIC oprauu cınııuı; I` ~ Tpoıbııuo-ceıicopııbıñ omcn ı 1011a; LI - mencóncrafl uacn. nnmenona
Puc. 6 in New species of plant nematodes of the order Dorylaimida, found in Moldavia and other areas of the USSR
Puc. 6. Erıclıodelııs arcticııs, n. sp.: / 1- crpymypa ıonomıoro Kolnla rena, 1 5 _ TpoqıııKo-ceııcopııbıü Omen; B-Jzıııımı Iıacn, Term ncuaronu; f- lıünøßuß Opraııbı czmua
PHC. 2 in New species of plant nematodes of the order Dorylaimida, found in Moldavia and other areas of the USSR
PHC. 2. Craleronenza lozovensís, n sp.: A -crpy'i‹rypa nepcnneñ lxacTH Tena; 5 - xnocr ııeııaToııbı; B — rpoclnıxo-ceııcopııbıñ omen rena; 1`- nouepeunafl ncuepueuuocrb Kyrnxyııbı
The more microplastic types pollute the soil, the stronger the growth suppression of invasive alien and native plants
<p>The ecological consequences of microplastic pollution for plants remain largely unknown, and the few studies that tested the effects usually focused on a single type of microplastic and a single plant species. However, most plants will be exposed to multiple microplastic types simultaneously, and the effects may vary among species.</p> <p>To test the effects of microplastic diversity on plants, we grew single plants of eight invasive and eight native species in pots with substrate polluted with 0, 1, 3 and 6 types of microplastics.</p> <p>We found that the growth suppression by microplastic pollution became stronger with the number of microplastic types the plants were exposed to. This tended to be particularly the case for invasive species, as their biomass advantage over natives diminished with the number of microplastic types. The biomass responses coincided with a positive effect of the number of microplastic types on root allocation and thickness, which was also stronger for invasive than for native species. In addition, the results of hierarchical diversity-interaction models suggest that the negative impact of microplastic diversity on the total biomass of invasive plant species was influenced by both the identities of the microplastic and certain types of microplastic with strong pairwise interactions. In contrast, the effect on native species was determined solely by the microplastic identities.</p> <p><em>Synthesis: </em>Our multi-species study thus shows for the first time that the negative effects of microplastic pollution on plant growth increase with the number of microplastic types. We also found tentative evidence that the negative impacts of microplastic diversity were more pronounced for invasive plants compared to native plants, and that this might be due to differences in the responses of root allocation and thickness.</p>
Figure 6 in Variations in trophic niches of generalist predators with plant community composition as indicated by stable isotopes and fatty acids
Figure 6. Principal components analysis of the relative abundance (mol%, logit- transformed) of individual PLFAs of soil microorganisms using flooding index (FI), plant species richness (SR), plant functional group richness (FG), presence of grasses (Gr), legumes (Leg), small herbs (SH) and tall herbs (TH) as supplementary variables.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.