2014. Disturbance legacies and resilience simulation using an individual-based forest landscape model on the Andrews Experimental Forest Long-Term Ecological Research Andrews Forest LTER Site. [Database]. Available: https://andrewsforest-stage.forestry.oregonstate.edu/data/fsdb-data-catalog/TP125 Accessed 2026-05-10.

Disturbances are key drivers of forest ecosystem dynamics, and forests are well adapted to their natural disturbance regimes. However, as a result of climate change, disturbance frequency is expected to increase in the future in many regions. It is not yet clear how such changes might affect forest ecosystems, and which mechanisms contribute to (current and future) disturbance resilience. We here studied the 6364-ha HJ Andrews Experimental Forest landscape to investigate how patches of remnant old-growth trees (as one important class of biological legacies) affect the resilience of forest ecosystems to disturbance. Using the spatially explicit, individual-based forest landscape model iLand we analyzed the effect of three different levels of remnant patches (0%, 12%, and 24% of the landscape) on 500-year recovery trajectories after a large, high severity wildfire. In addition, we evaluated how three different levels of fire frequency (no fire, a historic fire return interval of 262 years, and a reduced fire return interval of 131 years) modulate the effects of initial legacies. The study investigated effects of legacies on the resilience of forest ecosystem structure (represented by canopy complexity as described by the rumple index), composition (proportion of late-seral species), and functioning (total ecosystem carbon storage). For each scenario of initial legacy and fire return interval 25 replicates were simulated. More information on the simulation methodology as well as the code and executable used for this study can be obtained at http://iLand.boku.ac.at. The dataset is completed and no further analyses are planned at this point. The results are published in Ecological Applications http://dx.doi.org/10.1890/14-0255.1.

Temporal coverage: 2014-05-01 to 2014-05-01

Geographic coverage: H. J. Andrews Experimental Forest, Western Cascades, Oregon

Spatial coverage:

Bounds: W -122.26194800, E -122.10051700, N 44.28148300, S 44.19751400

• The purpose of this study was to determine the role and contribution of biological legacies to the resilience of the HJ Andrews landscape after large, high severity fire. Resilience is quantified for three indicators, i.e., total ecosystem carbon storage, canopy complexity (rumple index), and presence of late-seral species on the landscape.

Title: Long-Term Ecological Research

• Rupert Seidl
  Role: Principal Investigator
  309 FSL; Oregon State University; 3200 SW Jefferson Way, Corvallis, Oregon, 97331, USA
  Phone: 541-758-8779
  Email: rupert.seidl@boku.ac.at, rupert.seidl@oregonstate.edu
• Thomas A. Spies
  Role: Other Researcher
  USDA Forest Service;Pacific NW Research Station;3200 SW Jefferson Way, Corvallis, OR, 97331, USA
  Phone: (541) 750-7354
  Email: tom.spies@oregonstate.edu, tspies@fs.fed.us
  URL: https://www.fs.fed.us/research/people/profile.php?alias=tspies
• Werner Rammer
  Role: Method Contact

• Information Manager
  Andrews Forest LTER Program, US Forest Service Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, 97331
  Email: hjaweb@fsl.orst.edu
  URL: http://andrewsforest.oregonstate.edu/
• Rupert Seidl
  309 FSL; Oregon State University; 3200 SW Jefferson Way, Corvallis, Oregon, 97331, USA
  Phone: 541-758-8779
  Email: rupert.seidl@boku.ac.at, rupert.seidl@oregonstate.edu

• Andrews Forest LTER Site
  Role: Publisher
  Forest Ecosystems and Society Department in Forestry, Oregon State University, 201K Richardson Hall, Corvallis, OR, 97331-5752
  Phone: (541) 737-8480
  Email: lterweb@fsl.orst.edu
  URL: http://andrewsforest.oregonstate.edu/

Disturbances are key drivers of forest ecosystem dynamics, and forests are well adapted to their natural disturbance regimes. However, as a result of climate change, disturbance frequency is expected to increase in the future in many regions. It is not yet clear how such changes might affect forest ecosystems, and which mechanisms contribute to (current and future) disturbance resilience. We here studied the 6364-ha HJ Andrews Experimental Forest landscape to investigate how patches of remnant old-growth trees (as one important class of biological legacies) affect the resilience of forest ecosystems to disturbance. Using the spatially explicit, individual-based forest landscape model iLand we analyzed the effect of three different levels of remnant patches (0%, 12%, and 24% of the landscape) on 500-year recovery trajectories after a large, high severity wildfire. In addition, we evaluated how three different levels of fire frequency (no fire, a historic fire return interval of 262 years, and a reduced fire return interval of 131 years) modulate the effects of initial legacies. The study investigated effects of legacies on the resilience of forest ecosystem structure (represented by canopy complexity as described by the rumple index), composition (proportion of late-seral species), and functioning (total ecosystem carbon storage). For each scenario of initial legacy and fire return interval 25 replicates were simulated. More information on the simulation methodology as well as the code and executable used for this study can be obtained at http://iLand.boku.ac.at. The dataset is completed and no further analyses are planned at this point. The results are published in Ecological Applications http://dx.doi.org/10.1890/14-0255.1. The purpose of this study was to determine the role and contribution of biological legacies to the resilience of the HJ Andrews landscape after large, high severity fire. Resilience is quantified for three indicators, i.e., total ecosystem carbon storage, canopy complexity (rumple index), and presence of late-seral species on the landscape. Models/Algorithms - TP125

Purpose: The purpose of this study was to determine the role and contribution of biological legacies to the resilience of the HJ Andrews landscape after large, high severity fire. Resilience is quantified for three indicators, i.e., total ecosystem carbon storage, canopy complexity (rumple index), and presence of late-seral species on the landscape.

Method Steps

Sampling

No software entries listed in this EML file.

• LTER controlled vocabulary: stand structure (theme), populations (theme), ecology (theme), forest dynamics (theme), fires (theme), community composition (theme), plant species composition (theme), land cover (theme), processes (theme), succession (theme), carbon cycling (theme), disturbance (theme), modeling (theme), landscape change (theme), ecosystems (theme), forests (theme), trees (theme), vegetation (theme)
• Andrews Experimental Forest site thesaurus: resistance and resilience (theme), ecosystem processes (theme), landscape dynamics (theme)
• LTER core research areas: populations (theme), disturbance (theme)

• All Organisms: All Organisms
• Highest common category (ca. kingdom): Plantae
• Division or Phylum: Magnoliophyta
• Class: Magnoliopsida
• Subclass: Rosidae
• Order: Sapindales
• Family: Aceraceae
• Genus: Acer
• Species: Acer macrophyllum
• Subclass: Hamamelididae
• Order: Fagales
• Family: Betulaceae
• Genus: Alnus
• Species: Alnus rubra
• Division or Phylum: Coniferophyta
• Class: Pinopsida
• Order: Pinales
• Family: Cupressaceae
• Genus: Thuja
• Species: Thuja plicata
• Family: Pinaceae
• Genus: Pinus
• Species: Pinus ponderosa
• Genus: Abies
• Species: Abies grandis
• Species: Abies amabilis
• Species: Abies procera
• Genus: Pseudotsuga
• Species: Pseudotsuga menziesii
• Genus: Tsuga
• Species: Tsuga mertensiana
• Species: Tsuga heterophylla

No related dataset codes found in the EML text fields.

• Seidl, Rupert., Spies, Thomas A., Rammer, Werner., Steel, E. Ashley., Pabst, Robert. J., Olsen, Keith. 2012. Multi-scale Drivers of Spatial Variation in Old-Growth Forest Carbon Density Disentangled with Lidar and an Individual-Based Landscape Model. Ecosystems. Ecosystems 15:1321-1335. DOI: 10.1007/s10021-012-9587-2

No related files listed in this EML file.

Data Use Agreement:

The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. This Data Set is released under the Creative Commons license CC BY "Attribution" (see: https://creativecommons.org/licenses/by/4.0/). Creative Commons license CC BY - Attribution is a license that allows others to distribute, remix, tweak, and build upon your work (even commercially), as long as you are credited for the original creation. This license accommodates maximum dissemination and use of licensed materials.

It is considered professional conduct and an ethical obligation to acknowledge the work of other scientists. The Data User is asked to provide attribution of the original work if this data package is shared in whole or by individual parts or used in the derivation of other products. A recommended citation is provided for each Data Set in the Andrews LTER data catalog (see: http://andlter.forestry.oregonstate.edu/data/catalog/datacatalog.aspx). A generic citation is also provided for this Data Set on the website https://portal.edirepository.org in the summary metadata page. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed and 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.

General acknowledgement: Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University.

License: N/A

Maintenance update frequency: notPlanned

Description

• An update history is logged and maintained with each new version of every dataset.

Change History

• Version1 (2014-04-02)
  Study code and preliminary metadata established
• Version2 (2014-05-22)
  Uploaded entity 1 data into SQL.
• Version3 (2014-05-28)
  Changed number type of attributes in entity 1 to real.