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100 results for “insect herbivory”
Does the munch affect the bunch? Using community science to explore insect herbivory and fruit production in an understory plant
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Dynamic effects of insect herbivory and climate on tundra shrub growth: roles of browsing and ramet age
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Effects of insect herbivory on seedling mortality in restored and remnant tropical forest
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The importance of vertebrates in regulating insect herbivory pressure along a gradient of logging intensity in Sabah, Borneo
<b>Description: </b><p>Visual surveys of invertebrates, and seedling survival and leaf herbivory photographs, taken inside and outside experimental vertebrate exclusion cages</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/186"><b>The importance of vertebrates in regulating insect herbivory pressure along a gradient of logging intensity in Sabah, Borneo</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3975973">here</a></p><p><b>Files: </b>This consists of 1 file: EwersExclusionInvertSurveys.xlsx</p><p><b>EwersExclusionInvertSurveys.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Invertebrate surveys</b> (described in worksheet InvertSurveys)</p><p>Description: Visual surveys of invertebrates to ordinal level. Includes counts of invertebrates killed by Cordyceps fungus.</p><p>Number of fields: 54</p><p>Number of data rows: 38</p><p>Fields: </p><ul><li><b>ec5_uuid</b>: Unique record ID generated by EpiCollect (Field type: id)</li><li><b>Plot</b>: SAFE Project plot ID (Field type: location)</li><li><b>Treatment</b>: Experimental treatment: control or exclusion (Field type: categorical)</li><li><b>5_Date</b>: Date of observations (Field type: date)</li><li><b>6_Time</b>: Time of observations (Field type: time)</li><li><b>7_Plot_photo</b>: Link to photograph of the plot; photos are held on five.epicollect.net (Field type: comments)</li><li><b>lat_71_GPS_coordinates</b>: Latitude (Field type: numeric)</li><li><b>long_71_GPS_coordinates</b>: Longitude (Field type: numeric)</li><li><b>accuracy_71_GPS_coordinates</b>: Accuracy of GPS coordinates (Field type: numeric)</li><li><b>8_Notes</b>: Observations on state of the experimental exclusion cages (Field type: comments)</li><li><b>Acari</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Annelida</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Araneae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Archaeognatha</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Isoptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Blattodea</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Chilopoda</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Chrysomelidae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Curculionidae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Staphylinidae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>ColeopteraAdults</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>ColeopteraLarvae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Collembola</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Dermaptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Diplopoda</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>DipteraAdult</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>DipteraLarvae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Embioptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Ephemeroptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Gastropoda</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Hemiptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Formicidae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Hymenoptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Isopoda</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>LepidopteraAdult</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>LepidopteraLarvae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Mantodea</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Myriapoda</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>NeuropteraAdult</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>NeuropteraLarvae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Opiliones</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Orthoptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Phasmatodea</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Plecoptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Platyhelminthes</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Pseudoscorpiones</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Psocoptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Siphonaptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Thysanoptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Trichoptera</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Thelyphonida</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>IndetAdult</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>IndetLarvae</b>: Number of individuals inside 4m2 area (Field type: abundance)</li><li><b>Cordyceps</b>: Number of individuals inside 4m2 area (Field type: abundance)</li></ul></li><li><p><b>Seedling surveys</b> (described in worksheet SeedlingSurvey)</p><p>Description: Surveys of seedling status (alive/dead) after approximately one year in the field. Includes naturally germinated and experimentally planted Dipterocarp seedlings. Data also provides links to individual leaf photographs taken for leaf herbivory estimates, but these were never processed.</p><p>Number of fields: 24</p><p>Number of data rows: 275</p><p>Fields: </p><ul><li><b>ec5_uuid</b>: Unique record ID generated by EpiCollect. Should be used to link to plot numbers and sample dates recorded on InvertSurveys worksheet. (Field type: id)</li><li><b>title</b>: Unique record entry ID generated on Epicollect (Field type: id)</li><li><b>44_Planted_or_natura</b>: Was the seedling a naturally occurring one or experimentally planted? (Field type: categorical)</li><li><b>45_Seedling_ID</b>: ID code of the label attached to the seedling (Field type: id)</li><li><b>46_Alive_or_dead</b>: Is the seedling alive or dead? (Field type: categorical)</li><li><b>47_Height_cm</b>: Height of the seedling (Field type: numeric)</li><li><b>48_Diameter_at_groun</b>: Stem diameter of the seedling (Field type: numeric)</li><li><b>51_Leaf_number</b>: Leaf number, as written on the bottom of individual leaves (Field type: replicate)</li><li><b>52_Leaf_photo</b>: Link to photo of the leaf. Photos are archived on five.epicollect.net (Field type: comments)</li><li><b>53_Leaf_number</b>: Leaf number, as written on the bottom of individual leaves (Field type: replicate)</li><li><b>54_Leaf_photo</b>: Link to photo of the leaf. Photos are archived on five.epicollect.net (Field type: comments)</li><li><b>55_Leaf_number</b>: Leaf number, as written on the bottom of individual leaves (Field type: replicate)</li><li><b>56_Leaf_photo</b>: Link to photo of the leaf. Photos are archived on five.epicollect.net (Field type: comments)</li><li><b>57_Leaf_number</b>: Leaf number, as written on the bottom of individual leaves (Field type: replicate)</li><li><b>58_Leaf_photo</b>: Link to photo of the leaf. Photos are archived on five.epicollect.net (Field type: comments)</li><li><b>59_Leaf_number</b>: Leaf number, as written on the bottom of individual leaves (Field type: replicate)</li><li><b>60_Leaf_photo</b>: Link to photo of the leaf. Photos are archived on five.epicollect.net (Field type: comments)</li><li><b>61_Leaf_number</b>: Leaf number, as written on the bottom of individual leaves (Field type: replicate)</li><li><b>62_Leaf_photo</b>: Link to photo of the leaf. Photos are archived on five.epicollect.net (Field type: comments)</li><li><b>63_Leaf_number</b>: Leaf number, as written on the bottom of individual leaves (Field type: replicate)</li><li><b>64_Leaf_photo</b>: Link to photo of the leaf. Photos are archived on five.epicollect.net (Field type: comments)</li><li><b>65_Leaf_number</b>: Leaf number, as written on the bottom of individual leaves (Field type: replicate)</li><li><b>66_Leaf_photo</b>: Link to photo of the leaf. Photos are archived on five.epicollect.net (Field type: comments)</li><li><b>84_Notes</b>: Any issues relating to the experiment (Field type: comments)</li></ul></li></ol><p><b>Date range: </b>2018-06-21 to 2018-06-24</p><p><b>Latitudinal extent: </b>4.6815 to 4.6990</p><p><b>Longitudinal extent: </b>117.5396 to 117.5855</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Annelida <br> -  -  Platyhelminthes <br> -  -  Arthropoda <br> -  -  -  Chilopoda <br> -  -  -  Diplopoda <br> -  -  -  Myriapoda <br> -  -  -  Arachnida <br> -  -  -  -  Acari <br> -  -  -  -  Araneae <br> -  -  -  -  Opiliones <br> -  -  -  -  Pseudoscorpiones <br> -  -  -  -  Uropygi <br> -  -  -  -  -  Thelyphonidae <br> -  -  -  Insecta <br> -  -  -  -  Archaeognatha <br> -  -  -  -  Isoptera <br> -  -  -  -  Blattodea <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  Dermaptera <br> -  -  -  -  Diptera <br> -  -  -  -  Diptera <br> -  -  -  -  Embioptera <br> -  -  -  -  Ephemeroptera <br> -  -  -  -  Hemiptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Formicidae <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Mantodea <br> -  -  -  -  Neuroptera <br> -  -  -  -  Neuroptera <br> -  -  -  -  Orthoptera <br> -  -  -  -  Phasmida <br> -  -  -  -  Plecoptera <br> -  -  -  -  Psocoptera <br> -  -  -  -  Siphonaptera <br> -  -  -  -  Thysanoptera <br> -  -  -  -  Trichoptera <br> -  -  -  Entognatha <br> -  -  -  -  Collembola <br> -  -  -  Malacostraca <br> -  -  -  -  Isopoda <br> -  -  Arthropoda <br> -  -  -  Chilopoda <br> -  -  -  Diplopoda <br> -  -  -  Myriapoda <br> -  -  -  Arachnida <br> -  -  -  -  Acari <br> -  -  -  -  Araneae <br> -  -  -  -  Opiliones <br> -  -  -  -  Pseudoscorpiones <br> -  -  -  -  Uropygi <br> -  -  -  -  -  Thelyphonidae <br> -  -  -  Insecta <br> -  -  -  -  Archaeognatha <br> -  -  -  -  Isoptera <br> -  -  -  -  Blattodea <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  Dermaptera <br> -  -  -  -  Diptera <br> -  -  -  -  Diptera <br> -  -  -  -  Embioptera <br> -  -  -  -  Ephemeroptera <br> -  -  -  -  Hemiptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Formicidae <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Mantodea <br> -  -  -  -  Neuroptera <br> -  -  -  -  Neuroptera <br> -  -  -  -  Orthoptera <br> -  -  -  -  Phasmida <br> -  -  -  -  Plecoptera <br> -  -  -  -  Psocoptera <br> -  -  -  -  Siphonaptera <br> -  -  -  -  Thysanoptera <br> -  -  -  -  Trichoptera <br> -  -  -  Entognatha <br> -  -  -  -  Collembola <br> -  -  -  Malacostraca <br> -  -  -  -  Isopoda <br> -  -  Mollusca <br> -  -  -  Gastropoda <br> -  Fungi <br> -  -  Ascomycota <br> -  -  -  Sordariomycetes <br> -  -  -  -  Hypocreales <br> -  -  -  -  -  Cordycipitaceae <br> -  -  -  -  -  -  <i>Cordyceps</i> <br></div><p></p>
Water stress and insect herbivory interactively reduce crop yield while the insect pollination benefit is conserved
<p>Climate change is predicted to hamper crop production due to precipitation deficits and warmer temperatures inducing both water stress and increasing herbivory due to more abundant insect pests. Consequently, crop yields will be impacted simultaneously by abiotic and biotic stressors. Extensive yield losses due to such climate change stressors might, however, be mitigated by ecosystem services such as insect pollination. We examined the single and combined effects of water stress, insect herbivory and insect pollination on faba bean yield components and above- and belowground plant biomass under realistic field conditions. We used rainout shelters to simulate a scenario in line with climate change projections, with adequate water supply at sowing followed by a long period without precipitation. This induced a gradually increasing water stress, culminating around crop flowering and yield formation. We found that gradually increasing water stress combined with insect herbivory by aphids interactively shaped yield in faba beans. Individually, aphid herbivory reduced yield by 79 % and water stress reduced yield by 52 %. However, the combined effect of water stress and aphid herbivory reduced yield less (84 %) than the sum of the individual stressor effects. In contrast, insect pollination increased yield by 68 % independently of water availability and insect herbivory. Our results suggest that yield losses can be greatly reduced when both water stress and insect herbivory are reduced simultaneously. In contrast, reducing only one stressor has negligible benefits on yield as long as the crop is suffering from the other stressor. We call for further exploration of interactions among ecosystem services and biotic and abiotic stressors that simulate realistic conditions under climate change.</p>
Data from: Impacts of urbanization on insect herbivory and plant defences in oak trees
Systematic comparisons of species interactions in urban vs. rural environments can improve our understanding of shifts in ecological processes due to urbanization. However, such studies are relatively uncommon and the mechanisms driving urbanization effects on species interactions (e.g., between plants and insect herbivores) remain elusive. Here we investigated the effects of urbanization on leaf herbivory by insect chewers and miners associated with the English oak (Quercus robur) by sampling trees in rural and urban areas throughout most of the latitudinal distribution of this species. In performing these comparisons, we also controlled for the size of the urban areas (18 cities) and gathered data on CO2 emissions. In addition, we assessed whether urbanization affected leaf chemical defences (phenolic compounds) and nutritional traits (phosphorus and nitrogen), and whether such changes correlated with herbivory levels. Urbanization significantly reduced leaf chewer damage but did not affect leaf miners. In addition, we found that leaves from urban locations had lower levels of chemical defences (condensed and hydrolysable tannins) and higher levels of nutrients (nitrogen and phosphorus) compared to leaves in rural locations. The magnitude of urbanization effects on herbivory and leaf defences was not contingent upon city size. Importantly, while the effects of urbanization on chemical defences were associated with CO2 emissions, changes in leaf chewer damage were not associated with either leaf traits or CO2 levels. These results suggest that effects of urbanization on herbivory occur through mechanisms other than changes in the plant traits measured here. Overall, our simultaneous assessment of insect herbivory, plant traits, and abiotic correlates advances our understanding of the main drivers of urbanization effects on plant-herbivore interactions.
Data from: Tolerance to deer herbivory and resistance to insect herbivores in the common evening primrose (Oenothera biennis)
The evolution of plant defence in response to herbivory will depend on the fitness effects of damage, availability of genetic variation, and potential ecological and genetic constraints on defence. Here we examine the potential for evolution of tolerance to deer herbivory in Oenothera biennis while simultaneously considering resistance to natural insect herbivores. We examined: i) the effects of deer damage on fitness; ii) the presence of genetic variation in tolerance and resistance; iii) selection on tolerance; iv) genetic correlations with resistance that could constrain evolution of tolerance; and v) plant traits that might predict defence. In a field experiment, we simulated deer damage occurring early and late in the season, recorded arthropod abundances, flowering phenology, and measured growth rate and lifetime reproduction. Our study showed that deer herbivory has a negative effect on fitness, with effects being more pronounced for late-season damage. Selection acted to increase tolerance to deer damage, yet there was low and non-significant genetic variation in this trait. In contrast, there was substantial genetic variation in resistance to insect herbivores. Resistance was genetically uncorrelated with tolerance, whereas positive genetic correlations in resistance to insect herbivores suggest there exists diffuse selection on resistance traits. In addition, growth rate and flowering time did not predict variation in tolerance, but flowering phenology was genetically correlated with resistance. Our results suggest that deer damage has the potential to exert selection because browsing reduces plant fitness, but limited standing genetic variation in tolerance is expected to constrain adaptive evolution in O. biennis.
Data from: Effects of early-season insect herbivory on subsequent pathogen infection and ant abundance on wild cotton (Gossypium hirsutum)
1. Plant induced defences play an important role in mediating interactions between insects and pathogens. Yet, the plant traits underlying these effects, the extended consequences for higher trophic levels (i.e. predators), and the implications for plant growth and reproduction have received little attention. 2. Here we asked whether simulated early insect leaf damage on wild cotton (Gossypium hirsutum) affected subsequent damage by insect leaf chewers and pathogenic fungi, as well as ant abundance. To address the mechanisms behind such effects, we measured plant defensive traits induced by early leaf damage to determine which inducible traits might determine the effects on plant-associates. We also evaluated whether early damage influenced plant growth and flower production, and if such effects were mediated by subsequent insect herbivory or pathogen infection. 3. We show that simulated early leaf damage reduced damage by subsequent leaf-chewing insects, increased plant fungal infections, but did not affect ant abundance. Leaf defensive traits (lignins and pubescence) were significantly induced by early damage and were negatively associated with insect herbivory and infection severity, but did not account for the effects of early leaf damage on either of these subsequent attackers. In addition, ant abundance was not associated with (or accounted for) subsequent herbivory or infection, suggesting they did not confer plant protection. Finally, early leaf damage negatively affected plant growth and flower production and analyses suggested that the effect on the latter was, at least partly, mediated by increased fungal infections. 4. Synthesis: Overall, these findings show that early herbivory determines the outcome of cotton interactions with subsequent attackers, and such effects have an impact on plant growth and flower output.
Data from: Transgenes for insect resistance reduce herbivory and enhance fecundity in advanced generations of crop-weed hybrids of rice
Gene flow from transgenic crops allows novel traits to spread to sexually compatible weeds. Traits such as resistance to insects may enhance the fitness of weeds, but few studies have tested for these effects under natural field conditions. We created F2 and F3 crop-weed hybrid lineages of genetically engineered rice (Oryza sativa) using lines with two transgene constructs, cowpea trypsin inhibitor (CpTI) and a Bt transgene linked to CpTI (Bt/CpTI). Experiments conducted in Fuzhou, China, demonstrated that CpTI alone did not significantly affect fecundity, although it reduced herbivory. In contrast, under certain conditions Bt/CpTI conferred up to 79% less insect damage and 47% greater fecundity relative to non-transgenic controls, and a 44% increase in fecundity relative to the weedy parent. A small fitness cost was detected in F3 progeny with Bt/CpTI when grown under low insect pressure and direct competition with transgene-negative controls. We conclude that Bt/CpTI transgenes may introgress into co-occurring weedy rice populations and contribute to greater seed production when target insects are abundant. However, the net fitness benefits that are associated with Bt/CpTI could be ephemeral if insect pressure is lacking, for example, due to widespread planting of Bt cultivars that suppress target insect populations.
Data from: Strong interactive effects of warming and insect herbivory on soil carbon and nitrogen dynamics at Subarctic tree line
<p>Warming will likely stimulate Arctic primary production, but also soil C and N mineralization, and it remains uncertain whether the Arctic will become a sink or a source for CO<sub>2</sub>. Increasing insect herbivory may also dampen the positive response of plant production and soil C input to warming. We conducted an open-air warming experiment with Subarctic field layer vegetation in North Finland to explore the effects of warming (+3°C) and reduced insect herbivory (67% reduction in leaf damage using an insecticide) on soil C and N dynamics. We found that plant root growth, soil C and N concentrations, microbial biomass C, microbial activity, and soil NH<sub>4</sub><sup>+</sup> availability were increased by both warming and reduced herbivory when applied alone, but not when combined. Soil NO<sub>3</sub><sup>-</sup> availability increased by warming only and in-situ soil respiration by reduced herbivory only. Our results suggest that increasing C input from vegetation under climate warming increases soil C concentration, but also stimulates soil C turnover. On the other hand, it appears that insect herbivores can significantly reduce plant growth. If their abundance increases with warming as predicted, they may curtail the positive effect of warming on soil C concentration. Moreover, our results suggest that temperature and herbivory effects on root growth and soil variables interact strongly, which probably arises from a combination of N demand increasing under lower herbivory and soil mineral N supply increasing under higher temperature. This may further complicate the effects of rising temperatures on Subarctic soil C dynamics.</p>
Data from: Impacts of urbanization on insect herbivory and plant defences in oak trees
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Data from: Tolerance to deer herbivory and resistance to insect herbivores in the common evening primrose (Oenothera biennis)
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Data from: Transgenes for insect resistance reduce herbivory and enhance fecundity in advanced generations of crop-weed hybrids of rice
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Data from: Effects of early-season insect herbivory on subsequent pathogen infection and ant abundance on wild cotton (Gossypium hirsutum)
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Data from: Strong interactive effects of warming and insect herbivory on soil carbon and nitrogen dynamics at Subarctic tree line
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Water stress and insect herbivory interactively reduce crop yield while the insect pollination benefit is conserved
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Data from: Interactions between plant genome size, nutrients and herbivory by rabbits, molluscs and insects on a temperate grassland
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Data from: Aboveground herbivory by red milkweed beetles facilitates above- and below-ground conspecific insects and reduces fruit production in common milkweed
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Data from: Insect herbivory on seedlings of rainforest trees: effects of density and distance of conspecific and heterospecific neighbours
1. Natural enemies of plants such as insect herbivores can contribute to structuring and maintaining plant diversity in tropical forests. Most research in this area has focused on the role of specialised enemies and the extent to which herbivory on individual plant species is density-dependent. 2. Relatively few insect herbivores specialise on a single host plant species. Insect herbivores that feed on more than one plant species may link the regeneration dynamics of their host species through 'apparent competition' or 'apparent mutualism'. 3. We investigated herbivory and survival of seedlings of two tropical tree species (Cordia alliodora and Cordia bicolor) in the forests of Barro Colorado Island (Panama). We used experiments and observations to assess seedling fate in relation to the presence of conspecifics and heterospecifics across a range of spatial scales. 4. Herbivory significantly increased seedling mortality and was highest at high local densities of C. alliodora seedlings. There was also evidence that high local densities of C. alliodora increased herbivory on co-occurring C. bicolor seedlings. 5. Synthesis. The elevated rates of seedling herbivory at high densities of conspecifics documented in our study are consistent with the predictions of the Janzen-Connell hypothesis, which explains how so many plant species can coexist in tropical forests. Our data also highlight the possibility that herbivore-mediated density-dependence, facilitated by herbivores that feed on multiple plant species, can also occur across plant species. Enemy-mediated indirect effects of this sort have the potential to structure plant communities.
Data from: Insect herbivory on seedlings of rainforest trees: effects of density and distance of conspecific and heterospecific neighbours
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Annotated Behaviour and Observability Dataset (ABODe)
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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.