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Dataset results
5 results for “Forest carbon monitoring”
Data from: Toward spatio-temporal models to support national-scale forest carbon monitoring and reporting
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Data from: Addressing the challenges of managing and monitoring biodiversity in High Conservation Value areas and High Carbon Stock forests within oil palm landscapes
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Monitoring resistance and resilience using carbon trajectories: analysis of forest management-disturbance interactions
<p>A changing climate is altering ecosystem carbon dynamics with consequences for natural systems and human economies, but there are few tools available for land managers to meaningfully incorporate carbon trajectories into planning efforts. To address uncertainties wrought by rapidly changing conditions, many practitioners adopt resistance and resilience as ecosystem management goals, but these concepts have proven difficult to monitor across landscapes. Here, we address the growing need to understand and plan for ecosystem carbon with concepts of resistance and resilience. Using time series of carbon fixation (n=103), we evaluate forest management treatments and their relative impacts on resistance and resilience in the context of an expansive and severe natural disturbance. Using subalpine spruce-fir forest with a known management history as a study system, we match metrics of ecosystem productivity (net primary production, g·C·m<sup>2</sup>·y<sup>-1</sup>) with site-level forest structural measurements to evaluate (1) whether past management efforts impacted forest resistance and resilience during a spruce beetle (<em>Dendroctonus rufipennis</em>) outbreak, and (2) how forest structure and physiography contribute to anomalies in carbon trajectories. Our analyses have several important implications. First, we show that the framework we applied was robust for detecting forest treatment impacts on carbon trajectories, closely tracked changes in site-level biomass, and was supported by multiple evaluation methods converging on similar management effects on resistance and resilience. Second, we found that stand species composition, site productivity, and elevation predicted resistance, but resilience was only related to elevation and aspect. Our analyses demonstrate application of a practical approach for comparing forest treatments and isolating specific site and physiographic factors associated with resistance and resilience to biotic disturbance in a forest system, which can be used by managers to monitor and plan for both outcomes. More broadly, the approach we take here can be applied to many scenarios, which can facilitate integrated management and monitoring efforts.</p>
Monitoring resistance and resilience using carbon trajectories: analysis of forest management-disturbance interactions
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Stable carbon, oxygen and nitrogen isotopes in tree rings from temperate forests within long-term monitoring network in the UK
<p>Supporting dataset for the paper "Climate and atmospheric deposition effects on forest water‑use efficiency and nitrogen availability across Britain" by Guerrieri et al. 2020 Scientific Reports DOI is 10.1038/s41598-020-67562-w (<a href="https://www.nature.com/articles/s41598-020-67562-w">https://www.nature.com/articles/s41598-020-67562-w</a>)</p> <p>The dataset includes carbon, oxygen and nitrogen stable isotope composition measured in tree rings for four species at twelve forests across climate and atmospheric deposition gradients in Britain. Data were used to i) investigate spatial and temporal (over 30‑years) changes in tree intrinsic water use efficiency (iWUE, i.e., the ratio between CO<sub>2</sub> assimilation - A, and stomatal conductance- g<sub>s</sub>); ii) assess the possible species-specific physiological mechanisms (changes in A and/or g<sub>s</sub>) evaluate whether sites receiving high Ndep experience increase in ecosystem N availability and N saturation (using tree-ring nitrogen isotope composition as a proxy); iv) elucidate drivers of spatial and temporal changes in the isotope-derived physiological and ecological processes (i.e., relative contribution of climate vs. changes in atmospheric CO<sub>2</sub> and nitrogen and sulfur deposition). </p> <p>The following files are available:</p> <ul> <li>CSV file including: a) Site names; b) Species; c) Latitude; d) Longitude; e) Investigated years (1980-2010); f) Measured isotope-related parameters and tree ring nitrogen %. Isotope-related parameters included in the dataset are: 1) delta13C, 2) carbon isotope discrimination (Delta13C), 3) intercellular CO2 concentration (ci) and the ratio of intercellular to atmospheric CO2 concentrations (ci/ca), delta18O, estimated delta18O in precipitation (delta18OP) according to Barbour et al. 2001 (see Method in Guerrieri et al. 2020 Scientific Reports), oxygen isotope discrimination above the source water (Delta18O), delta15N. </li> <li>PDF file reporting the equations used to calculate the isotope-derived parameters, which can also be found in the paper by Guerrieri et al. 2020 Scientific Reports (accepted)</li> </ul>
ScienceDex guides
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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.