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14 results on '"Haber, Lisa T."'

1. Disturbance-accelerated succession increases the production of a temperate forest

Author

Gough, Christopher M., Bohrer, Gil, Hardiman, Brady S., Nave, Lucas E., Vogel, Christoph S., Atkins, Jeff W., Bond-Lamberty, Ben, Fahey, Robert T., Fotis, Alexander T., Grigri, Maxim S., Haber, Lisa T., Ju, Yang, Kleinke, Callie L., Mathes, Kayla C., Nadelhoffer, Knute J., Stuart-Haëntjens, Ellen, and Curtis, Peter S.

Published
2021

5. Ten simple rules for training yourself in an emerging field

Author

Woelmer, Whitney M., primary, Bradley, L. M., additional, Haber, Lisa T., additional, Klinges, David H., additional, Lewis, Abigail S. L., additional, Mohr, Elizabeth J., additional, Torrens, Christa L., additional, Wheeler, Kathryn I., additional, and Willson, Alyssa M., additional

Published
2021
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6. The fortedata R package: open-science datasets from a manipulative experiment testing forest resilience

Author

Atkins, Jeff W., Agee, Elizabeth, Barry, Alexandra, Dahlin, Kyla M., Dorheim, Kalyn, Grigri, Maxim S., Haber, Lisa T., Hickey, Laura J., Kamoske, Aaron G., Mathes, Kayla, McGuigan, Catherine, Paris, Evan, Pennington, Stephanie C., Rodriguez, Carly, Shafer, Autym, Shiklomanov, Alexey, Tallant, Jason, Gough, Christopher M., and Bond-Lamberty, Ben

Abstract

The fortedata R package is an open data notebook from the Forest Resilience Threshold Experiment (FoRTE) – a modeling and manipulative field experiment that tests the effects of disturbance severity and disturbance type on carbon cycling dynamics in a temperate forest. Package data consists of measurements of carbon pools and fluxes and ancillary measurements to help users analyse and interpret carbon cycling over time. Currently the package includes data and metadata from the first two years of FoRTE, and serves as a central, updatable resource for the FoRTE project team and is intended as a resource for external users over the course of the experiment and in perpetuity. Further, it supports all associated FoRTE publications, analyses, and modeling efforts. This increases efficiency, consistency, compatibility, and productivity, while minimizing duplicated effort and error propagation that can arise as a function of a large, distributed and collaborative effort. More broadly, fortedata represents an innovative, collaborative way of approaching science that unites and expedites the delivery of complementary datasets in near real time to the broader scientific community, increasing transparency and reproducibility of taxpayer-funded science. fortedata is available via GitHub: https://github.com/FoRTExperiment/fortedata and detailed documentation on the access, used, and applications of fortedata are available at: https://fortexperiment.github.io/fortedata/. The first public release, version 1.0.1 is also archived at: https://doi.org/10.5281/zenodo.3936146 (Atkins et al., 2020b). All level one data products are also available outside of the package as .csv files: https://doi.org/10.6084/m9.figshare.12292490.v3 (Atkins et al. 2020c).

Published
2020

7. The <i>fortedata</i> R package: open-science datasets from a manipulative experiment testing forest resilience

Author

Atkins, Jeff W., primary, Agee, Elizabeth, additional, Barry, Alexandra, additional, Dahlin, Kyla M., additional, Dorheim, Kalyn, additional, Grigri, Maxim S., additional, Haber, Lisa T., additional, Hickey, Laura J., additional, Kamoske, Aaron G., additional, Mathes, Kayla, additional, McGuigan, Catherine, additional, Paris, Evan, additional, Pennington, Stephanie C., additional, Rodriguez, Carly, additional, Shafer, Autym, additional, Shiklomanov, Alexey, additional, Tallant, Jason, additional, Gough, Christopher M., additional, and Bond-Lamberty, Ben, additional

Published
2021
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8. The <i>fortedata</i> R package: open-science datasets from a manipulative experiment testing forest resilience

Author

Atkins, Jeff W., primary, Agee, Elizabeth, additional, Barry, Alexandra, additional, Dahlin, Kyla M., additional, Dorheim, Kalyn, additional, Grigri, Maxim S., additional, Haber, Lisa T., additional, Hickey, Laura J., additional, Kamoske, Aaron G., additional, Mathes, Kayla, additional, McGuigan, Catherine, additional, Paris, Evan, additional, Pennington, Stephanie C., additional, Rodriguez, Carly, additional, Shafer, Autym, additional, Shiklomanov, Alexey, additional, Tallant, Jason, additional, Gough, Christopher M., additional, and Bond-Lamberty, Ben, additional

Published
2020
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9. Supplementary material to "The <i>fortedata</i> R package: open-science datasets from a manipulative experiment testing forest resilience"

Author

Atkins, Jeff W., primary, Agee, Elizabeth, additional, Barry, Alexandra, additional, Dahlin, Kyla M., additional, Dorheim, Kalyn, additional, Grigri, Maxim S., additional, Haber, Lisa T., additional, Hickey, Laura J., additional, Kamoske, Aaron G., additional, Mathes, Kayla, additional, McGuigan, Catherine, additional, Paris, Evan, additional, Pennington, Stephanie C., additional, Rodriguez, Carly, additional, Shafer, Autym, additional, Shiklomanov, Alexey, additional, Tallant, Jason, additional, Gough, Christopher M., additional, and Bond-Lamberty, Ben, additional

Published
2020
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10. Forest Structural Complexity and Biomass Predict First-Year Carbon Cycling Responses to Disturbance

Author

Gough, Christopher M., primary, Atkins, Jeff W., additional, Bond-Lamberty, Ben, additional, Agee, Elizabeth A., additional, Dorheim, Kalyn R., additional, Fahey, Robert T., additional, Grigri, Maxim S., additional, Haber, Lisa T., additional, Mathes, Kayla C., additional, Pennington, Stephanie C., additional, Shiklomanov, Alexey N., additional, and Tallant, Jason M., additional

Published
2020
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11. Application of multidimensional structural characterization to detect and describe moderate forest disturbance

Author

Atkins, Jeff W., primary, Bond‐Lamberty, Ben, additional, Fahey, Robert T., additional, Haber, Lisa T., additional, Stuart‐Haëntjens, Ellen, additional, Hardiman, Brady S., additional, LaRue, Elizabeth, additional, McNeil, Brenden E., additional, Orwig, David A., additional, Stovall, Atticus E. L., additional, Tallant, Jason M., additional, Walter, Jonathan A., additional, and Gough, Christopher M., additional

Published
2020
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13. Defining a spectrum of integrative trait‐based vegetation canopy structural types

Author

Fahey, Robert T., primary, Atkins, Jeff W., additional, Gough, Christopher M., additional, Hardiman, Brady S., additional, Nave, Lucas E., additional, Tallant, Jason M., additional, Nadehoffer, Knute J., additional, Vogel, Christoph, additional, Scheuermann, Cynthia M., additional, Stuart‐Haëntjens, Ellen, additional, Haber, Lisa T., additional, Fotis, Alexander T., additional, Ricart, Raleigh, additional, and Curtis, Peter S., additional

Published
2019
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14. The fortedata R package: open-science datasets from a manipulative experiment testing forest resilience.

Author

Atkins, Jeff W., Agee, Elizabeth, Barry, Alexandra, Dahlin, Kyla M., Dorheim, Kalyn, Grigri, Maxim S., Haber, Lisa T., Hickey, Laura J., Kamoske, Aaron G., Mathes, Kayla, McGuigan, Catherine, Paris, Evan, Pennington, Stephanie C., Rodriguez, Carly, Shafer, Autym, Shiklomanov, Alexey, Tallant, Jason, Gough, Christopher M., and Bond-Lamberty, Ben

Subjects
FOREST resilience, FOREST dynamics, TEMPERATE forests, CARBON cycle, SCIENTIFIC community
Abstract

The fortedata R package is an open data notebook from the Forest Resilience Threshold Experiment (FoRTE) – a modeling and manipulative field experiment that tests the effects of disturbance severity and disturbance type on carbon cycling dynamics in a temperate forest. Package data consist of measurements of carbon pools and fluxes and ancillary measurements to help analyze and interpret carbon cycling over time. Currently the package includes data and metadata from the first three FoRTE field seasons, serves as a central, updatable resource for the FoRTE project team, and is intended as a resource for external users over the course of the experiment and in perpetuity. Further, it supports all associated FoRTE publications, analyses, and modeling efforts. This increases efficiency, consistency, compatibility, and productivity while minimizing duplicated effort and error propagation that can arise as a function of a large, distributed and collaborative effort. More broadly, fortedata represents an innovative, collaborative way of approaching science that unites and expedites the delivery of complementary datasets to the broader scientific community, increasing transparency and reproducibility of taxpayer-funded science. The fortedata package is available via GitHub: https://github.com/FoRTExperiment/fortedata (last access: 19 February 2021), and detailed documentation on the access, used, and applications of fortedata are available at https://fortexperiment.github.io/fortedata/ (last access: 19 February 2021). The first public release, version 1.0.1 is also archived at 10.5281/zenodo.4399601 (Atkins et al., 2020b). All data products are also available outside of the package as.csv files: 10.6084/m9.figshare.13499148.v1 (Atkins et al., 2020c). [ABSTRACT FROM AUTHOR]

Published
2021
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