Automated Author Profile

University Of Kansas Field Station

Current S-Index

3.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

9

Total datasets for this author

Average FAIR Score

15.4%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Annual detection of all stems of Asclepias meadii (Mead�s milkweed) at the Rockefeller Prairie (KS) 1992-2006.

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).

Authors

  • University Of Kansas Field Station ;
  • Kettle, Dean
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.5063/aa/knb.275.1January 2011

Annual detection of flowering stems of Asclepias meadii (Mead�s milkweed) at the Rockefeller Prairie (KS) 1992-2006.

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).

Authors

  • University Of Kansas Field Station ;
  • Kettle, Dean
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.5063/aa/knb.277.1January 2011

Amphibians and Reptiles of the University of Kansas Field Station

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

Authors

  • University Of Kansas Field Station ;
  • Kettle, Dean
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.5063/aa/knb.233.1January 2010

Mammals of the University of Kansas Field Station

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 .

Authors

  • University Of Kansas Field Station ;
  • Kettle, Dean
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.5063/aa/knb.234.1January 2010

Birds of the University of Kansas Field Station

This checklist is intended to provide an overview of the avifauna of KUFS. Two hundred thirty-seven bird species have been recorded on University of Kansas Field Station (KUFS) lands from 1948 to present. Eighty-eight of these species are confirmed breeding birds and another eight are probable breeders.

Authors

  • University Of Kansas Field Station ;
  • Pittman, Galen
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.5063/aa/knb.231.1January 2010

Spiders of the University of Kansas Field Station

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.

Authors

  • University Of Kansas Field Station ;
  • Kettle, Dean
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.5063/aa/knb.235.2January 2010

Description and Data Archives of the University of Kansas Field Station (KUFS) Weather Station (1986-2008)

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.

Authors

  • University Of Kansas Field Station ;
  • Kettle, Dean
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.5063/aa/knb.236.1January 2010

Spiders of the University of Kansas Field Station

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.

Authors

  • University Of Kansas Field Station ;
  • Kettle, Dean
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.5063/aa/knb.235.1January 2010

Phenological checklist of birds of the University of Kansas Field Station

There are 255 bird species that have been recorded on KUFS lands from 1948 to the present. Of those, 102 species are confirmed breeders. Abundance information is presented for each of four standard seasons of the year.

Authors

  • University Of Kansas Field Station ;
  • Pittman, Galen
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.5063/aa/knb.232.1January 2010