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.

This data package is not the most recent revision of a series.  (View Newest Revision)

Data Package Summary    View Full Metadata

  • Thresholds and alternative states in neotropical dry forest in response to fire severity, 2005-2018
  • Peinetti, H. Raúl; Universidad Nacional de La Pampa
    Bestelmeyer, Brandon; USDA-ARS Jornada Experimental Range
    Chirino, Claudia C; Universidad Nacional de La Pampa
    Vivalda, Florencia L; Universidad Nacional de La Pampa
    Kin, Alicia G; Universidad Nacional de La Pampa
  • 2021-07-22
  • Peinetti, H., B. Bestelmeyer, C.C. Chirino, F.L. Vivalda, and A.G. Kin. 2021. Thresholds and alternative states in neotropical dry forest in response to fire severity, 2005-2018 ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).
  • Neotropical xerophytic forest ecosystems evolved with fires that shaped their resilience to disturbance events. We asked if there is evidence for a fire severity threshold causing an abrupt transition from a forest to an alternative shrub thicket state in the presence of typical post-fire management. We studied a heterogeneous wildfire event to assess medium-term effects (11 years) of varying fire severity in a xerophytic Caldén forest in central Argentina. We conducted field vegetation surveys in patches that were exposed to low (LFS), medium (MFS), and high (HFS) fire severities, but had similar pre-fire woody canopy cover. Satellite images were used to quantify fire severity using a delta Normalized Burning Ratio (dNBR) and to map pre-fire canopy cover. Post-fire total woody canopy cover was higher in low and medium than high severity patches, but the understory woody component was highest in HFS patches. The density of woody plants was over three times higher under high severity fire than moderate and low severity fire due to the contribution of short-statured woody plants to the total density. Unlike LFS and MFS patches, the short-statured plants in HFS patches were persistent, multi-stemmed shrubs that resulted from the resprouting of top-killed Prosopis caldenia trees, and more importantly, from young shrubs that probably established after the wildfire. Our results suggest that the Caldén forest is resilient to fires of low to moderate severities but not to high severity fires. Fire severities with dNBR values > ~600 triggered an abrupt transition to a shrub thicket state. Post-fire grazing and controlled fire treatments likely contributed to shrub dominance after high-severity wildfire.

  • N: -36.4406866233      S: -36.4505007136      E: -64.6715119244      W: -64.683353641
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data (Data User herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available as is. The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
  • Analyze this data package using:           

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

UNM logo UW-M logo