This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

Data Package Summary    View Full Metadata

  • Settlement Aboveground Biomass, Stem Density, and Basal Area, Midwest US, Level2
  • Paciorek, Christopher J.; University of California, Berkeley
    Cogbill, Charles V.; Harvard Forest
    Peters, Jody A.; University of Notre Dame
    Goring, Simon; University of Wisconsin, Madison
    McLachlan, Jason S.; University of Notre Dame
    Williams, John W.; University of Wisconsin, Madison
  • 2019
  • Paciorek, C., C. Cogbill, J. Peters, S. Goring, J. McLachlan, and J. Williams. 2019. Settlement Aboveground Biomass, Stem Density, and Basal Area, Midwest US, Level2 ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).
  • PalEON (the PaleoEcological Observatory Network) is an interdisciplinary team of paleoecologists, ecological statisticians, and ecosystem modelers. Our goal is to reconstruct forest composition, fire regime, and climate in forests across the northeastern US and Alaska over the past 2000 years and then use this to drive and validate terrestrial ecosystem models. We will develop a coherent spatiotemporal inference framework to quantify trends and extreme events in paleoecological and paleoclimatic time series. Variables such as forest composition, fire regime, and moisture balance will be inferred from corresponding paleoecological proxies, with rigorous estimates of uncertainty.

    These datasets will be applied to improve terrestrial ecosystem models in two contexts. First, we are developing specific data products, such as high- resolution settlement-era forest composition maps from witness tree and General Land Office data, that can be used to drive ecosystem models. PalEON will develop formal data assimilation tools that will allow the models we use to forecast on centennial scales to be informed by decadal- to centennial-scale data. Second, are developing data products for the purpose of model validation (e.g. fire-frequency reconstructions from sedimentary charcoal data). These long-term validation datasets will help us assess the ability of these models to capture past dynamics correctly, and will help us understand why their future projections are so divergent.

  • N: 49.75      S: 36.5      E: -81.2      W: -98.6
  • We are using the CC-BY 4.0 (Creative Commons Attribution 4.0 International) License. Details of this license can be found here: http://creativecommons.org/licenses/by/4.0/legalcode
  • DOI PLACE HOLDER

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

UNM logo UW-M logo