These data were used in a publication by Moore et al. (in press, as of 2011; citation as follows: Clinton T. Moore, Christopher J. Fonnesbeck, Katriona Shea, Kristopher J. Lah, Paul M. McKenzie, Lianne C. Ball, Michael C. Runge and ,Helen M. Alexander. (2011). An adaptive decision framework for the conservation of a threatened plant. Journal of Fish and Wildlife Management. In press.) The following description is modified from the Moore et al. (2011) abstract: Mead's milkweed (Asclepias meadii), a long-lived perennial herb of tallgrass prairie and glade communities of the central United States, is a species designated as threatened under the U.S. Endangered Species Act. Challenges to its successful management include the facts that much about its life history is unknown, its age at reproductive maturity is very advanced, certain life stages are practically unobservable, its productivity is responsive to unpredictable environmental events, and most of the known populations occur on private lands unprotected by any legal conservation instrument. To aid in its management, Moore et al. developed a prototype population-level state-dependent decision-making framework that explicitly accounts for this uncertainty and for uncertainties related to stochastic environmental effects and vital rates. To parameterize the decision model, they used estimates found in the literature, and analyzed data from a long-term monitoring program where fates of individual plants were observed through time (the data archived here).

These data were used in a publication by Moore et al. (in press, as of 2011; citation as follows: Clinton T. Moore, Christopher J. Fonnesbeck, Katriona Shea, Kristopher J. Lah, Paul M. McKenzie, Lianne C. Ball, Michael C. Runge and ,Helen M. Alexander. (2011). An adaptive decision framework for the conservation of a threatened plant. Journal of Fish and Wildlife Management. In press.) The following description is modified from the Moore et al. (2011) abstract: Mead's milkweed (Asclepias meadii), a long-lived perennial herb of tallgrass prairie and glade communities of the central United States, is a species designated as threatened under the U.S. Endangered Species Act. Challenges to its successful management include the facts that much about its life history is unknown, its age at reproductive maturity is very advanced, certain life stages are practically unobservable, its productivity is responsive to unpredictable environmental events, and most of the known populations occur on private lands unprotected by any legal conservation instrument. To aid in its management, Moore et al. developed a prototype population-level state-dependent decision-making framework that explicitly accounts for this uncertainty and for uncertainties related to stochastic environmental effects and vital rates. To parameterize the decision model, they used estimates found in the literature, and analyzed data from a long-term monitoring program where fates of individual plants were observed through time (the data archived here).

A checklist of spiders of the University of Kansas field station based on the folloing publication. Guarisco, H. and H. S. Fitch (1995) Spiders of the Kansas Ecological Reserves.TRANSACTIONS OF THE KANSAS ACADEMY OF SCIENCE 98(3-4): 118-129. It includes 249 species, which were approximately half the known spider fauna of the state at the time of publication.

A checklist of spiders of the University of Kansas field station based on the following publication. Guarisco, H. and H. S. Fitch (1995) Spiders of the Kansas Ecological Reserves.TRANSACTIONS OF THE KANSAS ACADEMY OF SCIENCE 98(3-4): 118-129. It includes 249 species, which were approximately half the known spider fauna of the state at the time of publication.

This checklist is intended to provide an overview of the herpetofauna of KUFS. Forty species of amphibians and reptiles have been found on the University of Kansas Field Station (KUFS). Acknowledgement to Henry S. Fitch for providing this information

The University of Kansas Field Station (KUFS) supports a diverse vascular flora of more than 700 species, including 19 species that are rare in Kansas. Principal habitats include deciduous forest, tallgrass prairie, cool-season grassland, aquatic and wetland sites, and land in various stages of ecological succession (old fields and woodlands). A total of 718 species and infraspecific taxa in 371 genera and 103 families of vascular plants are listed. These numbers represent 33% of the species and infraspecific taxa, 51% of the genera, and 71% of the families in Kansas (Brooks 1986).

The University of Kansas Field Station (KUFS) acquired climate data from a single location, known as the Nelson Environmental Study Area (NESA), from 1986-2008. The weather station at NESA was set to sample eight atmospheric parameters (24 hours a day, 7 days a week) using a battery-powered datalogger. Raw data, data summeries, and complete metadata and documentation for the operation of the KUFS Weather Station at NESA are available. In August 2008, a new NRCS SCAN network weather station was installed adjacent to the KUFS weather station at NESA as its replacement.

Thirty-nine species of mammals have been recorded (confirmed) from the University of Kansas Field Station (KUFS) since 1948. This checklist provides an overview of the mammal community of KUFS and includes a generalized key to the abundance of each species .