Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
9
datasets available to search
ShareScore release 0.9.0
Dataset results
9 results for “insect defoliation”
Bonanza Creek Experimental Forest Defoliating Insect Population Levels Per Leaf 1975-2012 - Werner
Defoliating insect population levels were monitored at Bonanza Creek Experimental Forest, Fairbanks, Alaska, USA from 1976 to 202012. Total number of insects per square meter of foliage is archived in this dataset.
Data for: Tracking the temporal dynamics of insect defoliation by high-resolution radar satellite data
<p><span>1. Quantifying tree defoliation by insects over large areas is a major challenge in forest management, but it is essential in ecosystem assessments of disturbance and resistance against herbivory. However, the trajectory from leaf-flush to insect defoliation to refoliation in broadleaf trees is highly variable. Its tracking requires high temporal- and spatial-resolution data, particularly in fragmented forests. </span></p> <p><span>2. In a unique replicated field experiment manipulating gypsy moth <i>Lymantria dispar</i> densities in mixed-oak forests, we examined the utility of publicly accessible satellite-borne radar (Sentinel-1) to track the fine-scale temporal trajectory of defoliation. The ratio of backscatter intensity between two polarizations from radar data of the growing season constituted a canopy development index (CDI) and a normalized CDI (NCDI), which were validated by optical (Sentinel-2) and terrestrial laser scanning (TLS) data as well by intensive caterpillar sampling from canopy fogging. </span></p> <p><span>3. The CDI and NCDI strongly correlated with optical and TLS data (Spearman's ρ=0.79 and 0.84, respectively). The ∆NCDI<sub><sub>Defoliation</sub><sub> (</sub><sub>A</sub><sub>-</sub><sub>C</sub><sub>)<i> </i></sub></sub>significantly explained caterpillar abundance (R<sup>2</sup>=0.52). The NCDI at critical time-steps and ΔNCDI related to defoliation and refoliation well discriminated between heavily and lightly defoliated forests. </span></p> <p><span>4. We demonstrate that the high spatial and temporal resolution and the cloud independence of Sentinel-1 radar potentially enable spatially unrestricted measurements of the highly dynamic canopy herbivory. This can help monitor insect pests, improve the prediction of outbreaks, and facilitate the monitoring of forest disturbance, one of the high priority Essential Biodiversity Variables, in the near future.</span></p>
Data from: Host plant phenology drives risky larval dispersal in an outbreaking insect defoliator
Open the record for dataset details and reuse information.
Data for: Tracking the temporal dynamics of insect defoliation by high-resolution radar satellite data
Open the record for dataset details and reuse information.
Bonanza Creek Experimental Forest Defoliating Insect Population Levels Per Leaf Beginning in 1975 - Kruse
The datafile has more detailed information including host species, a wider array of target species, date of sampling etc then the previous method of reporting found in Bonanza Creek Experimental Forest Defoliating Insect Population Levels Per Leaf Beginning in 1975 -Werner. The more detailed information was recorded starting in 2010.
Data from: Boreal tree growth exhibits decadal-scale ecological memory to drought and insect defoliation, but no negative response to their interaction
1. Interactions between drought and insect defoliation may dramatically alter forest function under novel climate and disturbance regimes, but remain poorly understood. We empirically tested two important hypotheses regarding tree responses to drought and insect defoliation: 1) trees exhibit delayed, persistent, and cumulative growth responses to these stressors; 2) physiological feedbacks in tree responses to these stressors exacerbate their impacts on tree growth. These hypotheses remain largely untested at a landscape scale, yet are critical for predicting forest function under novel future conditions given the connection between tree growth and demographic processes such as mortality and regeneration. 2. We developed a Bayesian hierarchical model to quantify the ecological memory of tree growth to past water deficits and insect defoliation events, derive antecedent variables reflecting the persistent and cumulative effects of these stressors on current growth, and test for their interactive effects. The model was applied to extensive tree growth, weather, and defoliation survey data from western and eastern regions of the Canadian boreal forest impacted by recent drought and defoliation events and characterized by contrasting tree compositions, climates, and insect defoliators. 3. Results revealed persistent negative tree growth responses to past water (all trees) and defoliation (host trees) stress lasting 3-6 and 10-12 years, respectively, depending on study region. Accounting for the ecological memory of tree growth to water and defoliation stress allowed for detection of interactions not previously demonstrated. Contrary to expectations, we found evidence for positive interactions among non-host trees likely due to reduced water stress following defoliation events. Regional differences in ecological memory to water stress highlight the role of climate in shaping forest responses to drought. 4. Synthesis. Study results suggest negative feedbacks in tree responses to drought and insect attack may be weaker than predicted for defoliator-dominated boreal forest systems. Instead, insect defoliation may offset the impacts of water deficit on boreal tree growth by reducing transpirational water demand. This offset mimics increased resistance to drought following forest thinning and may lessen growth and mortality losses due to increased aridity and more severe insect damage forecast for the boreal forest under global change.
Data from: Forest defoliation by an invasive outbreak insect: Catastrophic consequences for a charismatic mega moth
Open the record for dataset details and reuse information.
Data from: Boreal tree growth exhibits decadal-scale ecological memory to drought and insect defoliation, but no negative response to their interaction
Open the record for dataset details and reuse information.
Data from: Insect outbreaks alter nutrient dynamics in a southern African savanna: patchy defoliation of Colophospermum mopane savanna by Imbrasia belina larvae
Open the record for dataset details and reuse information.
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.