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Cover and density of southwestern ponderosa pine understory plants in permanent chart quadrats (2002-2020).

作者信息

Moore Margaret M, Jenness Jeffrey S, Laughlin Daniel C, Strahan Robert T, Bakker Jonathan D, Dowling Helen E, Springer Judith D

机构信息

School of Forestry, Northern Arizona University, Flagstaff, Arizona, USA.

Jenness Enterprises, GIS Analysis and Application Design, Flagstaff, Arizona, USA.

出版信息

Ecology. 2022 May;103(5):e3661. doi: 10.1002/ecy.3661. Epub 2022 Apr 8.

Abstract

This data set consists of 101 permanent 1 m × 1 m (1-m ) quadrats located within southwestern ponderosa pine ecosystems near Flagstaff, Arizona, USA. Individual plants in these quadrats were identified and mapped annually for 19 years (2002-2020). The original chart quadrats were established between 1912 and 1927 to determine the effects of domestic livestock grazing on herbaceous plants and pine seedlings. Today these data provide opportunities to examine the effects of climate and land-use change on plant demography, population dynamics, and community processes. We provide the following data and data formats: (1) digitized maps of all plant locations in shapefile and geodatabase format, (2) shapefiles showing annual locations of each individual plant species, (3) annual maps of each quadrat in TIFF and PDF format, (4) annual basal area of each species per quadrat for species mapped as polygons, (5) tabular representation of polygon areas and centroid locations for plant species mapped as polygons, (6) tabular representation of point locations for plant species mapped as points, (7) plot-scale 20 m × 20 m overstory tree canopy cover, tree basal area, parent material, and elevation, (8) quadrat-scale information (e.g., quadrat site and number, coordinates in UTM Zone 12 and latitude/longitude, and descriptive comments for each quadrat), (9) plant species list, (10) summary of plant species observed in each quadrat, (11) summary of quadrats mapped by site and year, and (12) data formatted for use in Integral Projection Models (IPM) and plant population analyses. There are no copyright restrictions; please cite this paper and the associated data set when data are used in publications.

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