Peter B. Adler, William R. Tyburczy, and William K. Lauenroth. 2007. Long-term mapped quadrats from Kansas prairie: demographic information for herbaceaous plants. Ecology 88:2673.


Data Paper

Ecological Archives E088-161-D1.

Copyright


Authors
Data Files
Abstract
Metadata


Author(s)

Peter B. Adler
Department of Wildland Resources and the Ecology Center
Utah State University
Logan, Utah, 84322 USA
Email: peter.adler@usu.edu

William R. Tyburczy
National Center for Ecological Analysis and Synthesis
735 State Street, Suite 300
Santa Barbara, California, 93101 USA

William K. Laurenroth
Department of Forest, Range and Watershed Stewardship
Colorado State University
Fort Collins, Colorado, 80523 USA


Data Files

arcexport.zip -- Arc coverages in ArcExport format. Contains a series of subdirectories with files for each year that the quadrat was mapped.

allrecords.csv -- 163,401 records, ASCII text, comma separated. No compression scheme was used.

quadrat_info.csv -- 64 records, ASCII text, comma separated. No compression scheme was used.

quadrat_inventory.csv -- 43 records, ASCII text, comma separated. No compression scheme was used.

species_list.csv -- 152 records, ASCII text, comma separated. No compression scheme was used.

monthly_temp.csv -- 112 records, ASCII text, comma separated. No compression scheme was used.

monthly_ppt.csv -- 112 records, ASCII text, comma separated. No compression scheme was used.


Abstract

Demographic data will play a central role in testing current theories in plant ecology and forecasting the effects of global change. However, long-term data on vital rates are very limited, especially for species in herbaceous plant communities. Here we present a data set that has great potential to increase our understanding of plant demographic processes. Every year from 1932 to 1972, researchers in Hays, Kansas (USA), mapped all individual plants in a series of 1-m2 quadrats in a mixed grass prairie. The rare combination of temporal extent and fine spatial resolution makes it possible to follow individual herbaceous plants (or genets) through time and to answer questions such as: How does individual survival and recruitment vary with precipitation and temperature? How are these relationships modified by interactions with neighboring conspecifics and heterospecifics? The data set includes the digitized maps in Arc Export format, a tabular, nonspatial version of the entire data set, descriptive information about each quadrat including its sampling schedule, a species list containing information on plant functional types, and monthly climate data.

Key words: climate; competition; demography; Geographic Information System; grassland, plant community.


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