Vegetation canopy structure is a fundamental characteristic of terrestrial ecosystems that defines vegetation types and drives ecosystem functioning. We use the multivariate structural trait composition of vegetation canopies to classify ecosystems within a global canopy structure spectrum. Across the temperate forest subset of this spectrum we assess gradients in canopy structural traits, characterize canopy structural types (CST), and evaluate drivers and functional consequences of canopy structural variation. We derive CSTs from multivariate canopy structure data, illustrating variation along three primary structural axes and resolution into six largely distinct and functionally relevant CSTs. Our results illustrate that within-ecosystem successional processes and disturbance legacies can produce variation in canopy structure similar to that associated with sub-continental variation in forest types and ecoclimatic zones. The potential to classify ecosystems into CSTs based on suites of structural traits represents an important advance in understanding and modeling structure-function relationships in vegetated ecosystems.

These data were collected in 2018 and 2019 at the University of Michigan Biological Station as a part of the Forest Resilience and Threshold Experiment (FoRTE), and were used in the analysis of aboveground wood net primary production (ANPPw) documented in Grigri et al. (unpublished).
Diameter growth increments of a sub-sample of stems from all canopy strata were used to infer ecosystem scale ANPPw. Upper canopy refers to stems ≥8cm diameter at breast height (DBH), subcanopy refers to stems 1-8cm DBH, and seedling/saplings refers to stems <1cm DBH. Dendrometer bands were used to record repeated measures of upper canopy trees. Digital calipers were used for DBH measurements in the subcanopy, and base diameter and height measurements of seedling/saplings.
FoRTE_all_trees.csv is 2018 census data off all trees present in experimental plots. DBL_dendrobands.csv is data collected from multiple dendrometer bands at different stem heights on a single tree (see Grigri et al., unpublished). FoRTE_LAI.csv is leaf area index (LAI) estimated from hemispherical images taken throughout the growing season of 2019 (Atkins et al., 2020).
Download zip for R project data, and code. Please see README.R for details.

This repo contains data products, formatted for broad audience use, associated with version 1.0.2 of the fortedata package (https://github.com/FoRTExperiment/fortedata)--which contains data from The Forest Resilience and Threshold Experiment (FoRTE).

These data were collected in 2018 and 2019 at the University of Michigan Biological Station as a part of the Forest Resilience and Threshold Experiment (FoRTE), and were used in the analysis of aboveground wood net primary production (ANPPw) documented in Grigri et al. (unpublished).
Diameter growth increments of a sub-sample of stems from all canopy strata were used to infer ecosystem scale ANPPw. Upper canopy refers to stems ≥8cm diameter at breast height (DBH), subcanopy refers to stems 1-8cm DBH, and seedling/saplings refers to stems <1cm DBH. Dendrometer bands were used to record repeated measures of upper canopy trees. Digital calipers were used for DBH measurements in the subcanopy, and base diameter and height measurements of seedling/saplings.
FoRTE_all_trees.csv is 2018 census data off all trees present in experimental plots. DBL_dendrobands.csv is data collected from multiple dendrometer bands at different stem heights on a single tree (see Grigri et al., unpublished). FoRTE_LAI.csv is leaf area index (LAI) estimated from hemispherical images taken throughout the growing season of 2019 (Atkins et al., 2020).
Download zip for R project data, and code. Please see README.R for details.

These data were collected in 2018 and 2019 at the University of Michigan Biological Station as a part of the Forest Resilience and Threshold Experiment (FoRTE), and were used in the analysis of aboveground wood net primary production (ANPPw) documented in Grigri et al. (unpublished).
Diameter growth increments of a sub-sample of stems from all canopy strata were used to infer ecosystem scale ANPPw. Upper canopy refers to stems ≥8cm diameter at breast height (DBH), subcanopy refers to stems 1-8cm DBH, and seedling/saplings refers to stems <1cm DBH. Dendrometer bands were used to record repeated measures of upper canopy trees. Digital calipers were used for DBH measurements in the subcanopy, and base diameter and height measurements of seedling/saplings.
FoRTE_all_trees.csv is 2018 census data off all trees present in experimental plots. DBL_dendrobands.csv is data collected from multiple dendrometer bands at different stem heights on a single tree (see Grigri et al., unpublished). FoRTE_LAI.csv is leaf area index (LAI) estimated from hemispherical images taken throughout the growing season of 2019 (Atkins et al., 2020).
Download zip for R project data, and code. Please see README.R for details.

These data were collected in 2018 and 2019 at the University of Michigan Biological Station as a part of the Forest Resilience and Threshold Experiment (FoRTE), and were used in the analysis of aboveground wood net primary production (ANPPw) documented in Grigri et al. (unpublished).
Diameter growth increments of a sub-sample of stems from all canopy strata were used to infer ecosystem scale ANPPw. Canopy refers to stems ≥8cm diameter at breast height (DBH), subcanopy refers to stems 1-8cm DBH, and seedling/saplings refers to stems <1cm DBH. Dendrometer bands were used to record repeated measures of canopy trees. Digital calipers were used for DBH measurements in the subcanopy, and base diameter and height measurements of seedling/saplings.
FoRTE_all_trees.csv is 2018 census data off all trees present in experimental plots. DBL_dendrobands.csv is data collected from multiple dendrometer bands at different stem heights on a single tree (see Grigri et al., unpublished). FoRTE_LAI.csv is leaf area index (LAI) estimated from hemispherical images taken throughout the growing season of 2019 (Atkins et al., in review).
All R scripts included. Please see README.R for details.

This repo contains all level one (formatted for broad audience use) data products associated with version 1.0.1 of the fortedata package (https://github.com/FoRTExperiment/fortedata)--which contains data from The Forest Resilience and Threshold Experiment (FoRTE).

* This repo has been updated with a readme file that fully details the files contained within.

This is a mirror of the fortedata package version 1.0.1 (https://github.com/FoRTExperiment/fortedata)

This is a mirror of the fortedata package version 1.0.1 (https://github.com/FoRTExperiment/fortedata)

These data were collected in 2018 and 2019 at the University of Michigan Biological Station as a part of the Forest Resilience and Threshold Experiment (FoRTE), and were used in the analysis of aboveground wood net primary production (ANPPw) documented in Grigri et al. (unpublished).
Diameter growth increments of a sub-sample of stems from all canopy strata were used to infer ecosystem scale ANPPw. Upper canopy refers to stems ≥8cm diameter at breast height (DBH), subcanopy refers to stems 1-8cm DBH, and seedling/saplings refers to stems <1cm DBH. Dendrometer bands were used to record repeated measures of upper canopy trees. Digital calipers were used for DBH measurements in the subcanopy, and base diameter and height measurements of seedling/saplings.
FoRTE_all_trees.csv is 2018 census data off all trees present in experimental plots. DBL_dendrobands.csv is data collected from multiple dendrometer bands at different stem heights on a single tree (see Grigri et al., unpublished). FoRTE_LAI.csv is leaf area index (LAI) estimated from hemispherical images taken throughout the growing season of 2019 (Atkins et al., 2020).
Download zip for R project data, and code. Please see README.R for details.