Award Abstract # 2025849
LTER: Manipulating drivers to assess grassland resilience

NSF Org: DEB
Division Of Environmental Biology
Recipient: KANSAS STATE UNIVERSITY
Initial Amendment Date: November 12, 2020
Latest Amendment Date: February 3, 2025
Award Number: 2025849
Award Instrument: Continuing Grant
Program Manager: Betsy Von Holle
mvonholl@nsf.gov
 (703)292-4974
DEB
 Division Of Environmental Biology
BIO
 Directorate for Biological Sciences
Start Date: December 1, 2020
End Date: November 30, 2026 (Estimated)
Total Intended Award Amount: $7,122,000.00
Total Awarded Amount to Date: $5,971,548.00
Funds Obligated to Date: FY 2021 = $1,187,000.00
FY 2022 = $1,187,000.00

FY 2023 = $1,198,548.00

FY 2024 = $1,212,000.00

FY 2025 = $1,187,000.00
History of Investigator:
  • Jesse Nippert (Principal Investigator)
    nippert@ksu.edu
  • Sara Baer (Co-Principal Investigator)
  • Melinda Smith (Co-Principal Investigator)
  • Lydia Zeglin (Co-Principal Investigator)
  • Keith Gido (Former Co-Principal Investigator)
Recipient Sponsored Research Office: Kansas State University
1601 VATTIER STREET
MANHATTAN
KS  US  66506-2504
(785)532-6804
Sponsor Congressional District: 01
Primary Place of Performance: Kansas State University
Manhattan
KS  US  66506-1100
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): CFMMM5JM7HJ9
Parent UEI:
NSF Program(s): LONG TERM ECOLOGICAL RESEARCH
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
01002223DB NSF RESEARCH & RELATED ACTIVIT

01002324DB NSF RESEARCH & RELATED ACTIVIT

01002425DB NSF RESEARCH & RELATED ACTIVIT

01002526DB NSF RESEARCH & RELATED ACTIVIT

01002627DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1195, 9150, 9251
Program Element Code(s): 119500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

Grasslands provide many benefits to society. In the eastern portion of the Central Plains, tallgrass prairie is the most common type of grassland. Tallgrass prairies once supported vast herds of bison and elk, and now support cattle ranching. Native prairie grasses are highly nutritious for cattle and can withstand frequent grazing, making tallgrass prairie the most productive rangeland in the United States. Tallgrass prairies also provide habitat for commercially important game species including deer, turkey, and waterfowl. Additionally, the prairies regulate water and nutrient cycles, and help store carbon. Remaining tallgrass prairie is threatened by invasive species, climate change, and expansion of woody plants. Sustainable management of tallgrass prairies requires a deep understanding of how these threats affect species, water, and nutrient cycling. Decades of research at the Konza Prairie Long-Term Ecological Research (LTER) site in Kansas have provided a deep understanding of how the prairie responds to environmental changes of many kinds. New research will focus on ecological resilience, identifying how plants and animals respond to natural disturbances (fire and grazing) and to the more recent challenges imposed by climate shifts and invasion of woody plants. This work will inform grassland restoration, management and conservation efforts throughout the Great Plains. Konza scientists will be active in education and outreach activities. For example, the Konza Environmental Education Program provides activities for thousands of K-12 students every year, illustrating the societal value of collecting long-term data. Konza scientists also provide community outreach and engagement for the public, land managers, conservationists, and policy-makers.

Since 1980, the Konza Prairie LTER site has investigated how key drivers of grasslands globally - fire, grazing, and climatic variability - interact to influence tallgrass prairie structure and function. The conceptual framework of this renewal award builds on long-term studies, reflects the increasing complexity of research questions developed over the history of the site, and explicitly recognizes that tallgrass prairie pattern and process result from human alteration of ecological drivers at local (e.g., land use and management), regional (e.g., nutrient inputs) and global (e.g., climate change) scales. This research leverages long-term, watershed-scale manipulations of fire frequency and grazing by large ungulates, coupled with numerous plot-scale manipulations to test ecological theory and address timely questions regarding grassland responses to multiple, interacting global changes. Specifically, researchers will focus on mechanisms underlying sensitivity and resilience of ecosystem states in mesic grasslands. New research will utilize the array of ecosystem states that have emerged from previous landscape manipulations to refine the understanding of sensitivity, resilience, and ecosystem state change in tallgrass prairie. The research comprises four thematic areas: 1) continued watershed-level manipulations of historical drivers (fire and grazing), 2) experimental manipulations of global change drivers, 3) cessation or reversal of selected drivers to assess legacies, and 4) human intervention. Collectively, Konza Prairie research will advance ecological theory and improve our mechanistic understanding of ecosystem state changes by manipulating key drivers to alter ecological states while employing new analytical approaches to augment the value of Konza LTER?s long-term data sets. The research will provide new information critical for understanding, managing, and conserving grasslands globally, while concurrently addressing fundamental ecological questions to explain grassland dynamics in a changing world.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

(Showing: 1 - 10 of 144)
Aurell, Johanna and Gullett, Brian and Grier, Gina and Holder, Amara and George, Ingrid "Seasonal emission factors from rangeland prescribed burns in the Kansas Flint Hills grasslands" Atmospheric Environment , v.304 , 2023 https://doi.org/10.1016/j.atmosenv.2023.119769 Citation Details
Avolio, Meghan_L and Komatsu, Kimberly_J and Collins, Scott_L and Grman, Emily and Koerner, Sally_E and Tredennick, Andrew_T and Wilcox, Kevin_R and Baer, Sara and Boughton, Elizabeth_H and Britton, Andrea_J and Foster, Bryan and Gough, Laura and Hovenden "Determinants of community compositional change are equally affected by global change" Ecology Letters , v.24 , 2021 https://doi.org/10.1111/ele.13824 Citation Details
Avolio, Meghan L. and Komatsu, Kimberly J. and Koerner, Sally E. and Grman, Emily and Isbell, Forest and Johnson, David S. and Wilcox, Kevin R. and Alatalo, Juha M. and Baldwin, Andrew H. and Beierkuhnlein, Carl and Britton, Andrea J. and Foster, Bryan L. "Making sense of multivariate community responses in global change experiments" Ecosphere , v.13 , 2022 https://doi.org/10.1002/ecs2.4249 Citation Details
Avolio, Meghan L. and Wilcox, Kevin R. and Komatsu, Kimberly J. and Lemoine, Nathan and Bowman, William D. and Collins, Scott L. and Knapp, Alan K. and Koerner, Sally E. and Smith, Melinda D. and Baer, Sara G. and Gross, Katherine L. and Isbell, Forest an "Temporal variability in production is not consistently affected by global change drivers across herbaceous-dominated ecosystems" Oecologia , v.194 , 2020 https://doi.org/10.1007/s00442-020-04787-6 Citation Details
Bachle, Seton and Nippert, Jesse B "Microanatomical traits track climate gradients for a dominant C4 grass species across the Great Plains, USA" Annals of Botany , v.127 , 2020 https://doi.org/10.1093/aob/mcaa146 Citation Details
Bachle, Seton and Nippert, Jesse B. "Climate variability supersedes grazing to determine the anatomy and physiology of a dominant grassland species" Oecologia , v.198 , 2022 https://doi.org/10.1007/s00442-022-05106-x Citation Details
Bakker, Jonathan D. and Price, Jodi N. and Henning, Jeremiah A. and Batzer, Evan E. and Ohlert, Timothy J. and Wainwright, Claire E. and Adler, Peter B. and Alberti, Juan and Arnillas, Carlos Alberto and Biederman, Lori A. and Borer, Elizabeth T. and Brud "Compositional variation in grassland plant communities" Ecosphere , v.14 , 2023 https://doi.org/10.1002/ecs2.4542 Citation Details
Borer, E. T. and Harpole, W. S. and Adler, P. B. and Arnillas, C. A. and Bugalho, M. N. and Cadotte, M. W. and Caldeira, M. C. and Campana, S. and Dickman, C. R. and Dickson, T. L. and Donohue, I. and Eskelinen, A. and Firn, J. L. and Graff, P. and Gruner "Nutrients cause grassland biomass to outpace herbivory" Nature Communications , v.11 , 2020 https://doi.org/10.1038/s41467-020-19870-y Citation Details
Broderick, Caitlin_M and Freeman, Kiona_M and Zeglin, Lydia_H and Blair, John_M "Climate Legacy Effects Shape Tallgrass Prairie Nitrogen Cycling" Journal of Geophysical Research: Biogeosciences , v.127 , 2022 https://doi.org/10.1029/2022JG006972 Citation Details
Broderick, Caitlin M. and Wilkins, Kate and Smith, Melinda D. and Blair, John M. "Climate legacies determine grassland responses to future rainfall regimes" Global Change Biology , v.28 , 2022 https://doi.org/10.1111/gcb.16084 Citation Details
Bruckerhoff, Lindsey A. and Gido, Keith B. and Estey, Michael and Moore, Pamela J. "Disentangling effects of predators and landscape factors as drivers of stream fish community structure" Freshwater Biology , v.66 , 2021 https://doi.org/10.1111/fwb.13668 Citation Details
(Showing: 1 - 10 of 144)

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page