Award Abstract # 1832042
LTER: KBS - Mechanisms of Resilience in Agricultural Landscapes

NSF Org: DEB
Division Of Environmental Biology
Recipient: MICHIGAN STATE UNIVERSITY
Initial Amendment Date: November 8, 2018
Latest Amendment Date: July 27, 2022
Award Number: 1832042
Award Instrument: Continuing Grant
Program Manager: Paco Moore
fbmoore@nsf.gov
 (703)292-5376
DEB
 Division Of Environmental Biology
BIO
 Directorate for Biological Sciences
Start Date: December 1, 2018
End Date: November 30, 2023 (Estimated)
Total Intended Award Amount: $4,508,000.00
Total Awarded Amount to Date: $4,610,842.00
Funds Obligated to Date: FY 2019 = $1,137,000.00
FY 2020 = $1,193,212.00

FY 2021 = $2,254,000.00

FY 2022 = $26,630.00
History of Investigator:
  • Nicholas Haddad (Principal Investigator)
    haddad@kbs.msu.edu
  • G. Philip Robertson (Co-Principal Investigator)
  • Stephen Hamilton (Co-Principal Investigator)
  • Jennifer Lau (Co-Principal Investigator)
  • Sarah Evans (Co-Principal Investigator)
  • Stephen Hamilton (Former Principal Investigator)
  • Nicholas Haddad (Former Co-Principal Investigator)
Recipient Sponsored Research Office: Michigan State University
426 AUDITORIUM RD RM 2
EAST LANSING
MI  US  48824-2600
(517)355-5040
Sponsor Congressional District: 07
Primary Place of Performance: Michigan State University
KBS, 3700 East Gull Lake Drive
Hickory Corners
MI  US  49060-9505
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): R28EKN92ZTZ9
Parent UEI: VJKZC4D1JN36
NSF Program(s): LONG TERM ECOLOGICAL RESEARCH
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
01002122DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1195, 1228, 7218, 9251
Program Element Code(s): 119500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

Working farms cover much of the United States, providing food, feed, and biofuel to global markets. Changing weather patterns and land use are making it more difficult to manage agricultural lands for profit and environmental health. Midwestern field crop farmers are quick to note that changes in rainfall patterns are playing havoc with their management. The Midwest is experiencing more overall rainfall during the growing season, but it comes in heavier rain events. Climate scientists warn that this trend is likely to continue, or even get worse, and that we may well see more intense dry periods between these heavy rains. How can agricultural landscapes be made more resilient in the face of these extreme conditions? The next phase of the Kellogg Biological Station Long-term Ecological Research program tackles this question. Scientists will explore what aspects of the environment (above and belowground) help agricultural landscapes resist and recover from intense droughts and how drought effects interact with changes in land use. Scientists from many disciplines will work together to uncover the role of plants, soils, microbes, insects, time, and farmers in providing buffering capacity to agricultural lands. The research will focus on annual field crops, perennial grasslands, and natural areas that make up much of the agricultural landscape across the Midwest. The experiments will provide new insights into how environments respond to change. Discoveries will inform the policies, programs, and management of agricultural and natural environments across the world.

Long-term experiments and observations will be maintained and complemented with new experiments that simulate growing-season droughts and add prairie strips within row crop fields. The new experiments will test the importance of three classes of hypothesized resilience mechanisms: resource availability (soil resources and social resources), diversity (including species richness and intraspecific genetic diversity), and adaptation (both biological and technological). By examining mechanisms of resilience in each major land use in our spatial domain - annual crops, perennial biomass crops, and successional and conservation lands - the researchers will lay the foundation for understanding how changing land use and climate will interact to affect ecosystem functions. Farmer surveys to be conducted over the course of the project will reveal how managers' decision-making adapts to environmental change and thereby contributes to resilience. This research uniquely examines biogeochemical, ecological, evolutionary, and social dimensions of resilience in agricultural systems and landscapes.

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

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(Showing: 1 - 10 of 246)
Longley, Reid and Noel, Zachary A. and Benucci, Gian Maria and Chilvers, Martin I. and Trail, Frances and Bonito, Gregory "Crop Management Impacts the Soybean (Glycine max) Microbiome" Frontiers in Microbiology , v.11 , 2020 10.3389/fmicb.2020.01116 Citation Details
Chen, Jiquan M. and Sciusco, Pietro P. and Ouyang, Zutao and Zhang, Rong and Henebry, Geoffrey and John, Ranjeet and Roy, David. "Linear downscaling from MODIS to landsat: connecting landscape composition with ecosystem functions" Landscape Ecology , v.34 , 2019 10.1007/s10980-019-00928-2 Citation Details
Chen, Ko-Hsuan and Longley, Reid and Bonito, Gregory and Liao, Hui-Ling "A Two-Step PCR Protocol Enabling Flexible Primer Choice and High Sequencing Yield for Illumina MiSeq Meta-Barcoding" Agronomy , v.11 , 2021 https://doi.org/10.3390/agronomy11071274 Citation Details
Chipkar, Sarvada and Kahmark, Kevin and Bohm, Sven and Hussain, Mir Zaman and Joshi, Leela and Krieg, Karleigh M. and Aguado, Jacob and Cassidy, Jasmine and Lozano, Pablo and Garland, Kevin and Senyk, Andrea and Debrauske, Derek J. and Whelan, Elizabeth a "High temperatures and low soil moisture synergistically reduce switchgrass yields from marginal field sites and inhibit fermentation" GCB Bioenergy , v.16 , 2024 https://doi.org/10.1111/gcbb.13119 Citation Details
Cleary, Daniel M and Linley, Tim and Kriesel, Jason and Fahrland, Andrew and Kelly, James F and Moran, James J "Capillary absorption spectroscopy for high temporal resolution measurements of stable carbon isotopes in soil and plant-based systems" Plant Physiology and Biochemistry , v.169 , 2021 https://doi.org/10.1016/j.plaphy.2021.10.025 Citation Details
Cupples, Alison M. and Li, Zheng and Wilson, Fernanda Paes and Ramalingam, Vidhya and Kelly, Allison "In silico analysis of soil, sediment and groundwater microbial communities to predict biodegradation potential" Journal of Microbiological Methods , v.202 , 2022 https://doi.org/10.1016/j.mimet.2022.106595 Citation Details
Cusser, Sarah and Bahlai, Christie and Swinton, Scott M. and Robertson, G. Philip and Haddad, Nick M. "Longterm research avoids spurious and misleading trends in sustainability attributes of notill" Global Change Biology , v.26 , 2020 https://doi.org/10.1111/gcb.15080 Citation Details
Cusser, Sarah and Helms, Jackson and Bahlai, Christie A. and Haddad, Nick M. "How long do population level field experiments need to be? Utilising data from the 40yearold LTER network" Ecology Letters , v.24 , 2021 https://doi.org/10.1111/ele.13710 Citation Details
Dahl, Travis A. and Kendall, Anthony D. and Hyndman, David W. "Climate and hydrologic ensembling lead to differing streamflow and sediment yield predictions" Climatic Change , v.165 , 2021 https://doi.org/10.1007/s10584-021-03011-5 Citation Details
Dainese, Matteo and Martin, Emily A. and Aizen, Marcelo A. and Albrecht, Matthias and Bartomeus, Ignasi and Bommarco, Riccardo and Carvalheiro, Luisa G. and Chaplin-Kramer, Rebecca and Gagic, Vesna and Garibaldi, Lucas A. and Ghazoul, Jaboury and Grab, He "A global synthesis reveals biodiversity-mediated benefits for crop production" Science Advances , v.5 , 2019 10.1126/sciadv.aax0121 Citation Details
Dangal, Shree R. and Schwalm, Christopher and Cavigelli, Michel A. and Gollany, Hero T. and Jin, Virginia L. and Sanderman, Jonathan "Improving Soil Carbon Estimates by Linking Conceptual Pools Against Measurable Carbon Fractions in the DAYCENT Model Version 4.5" Journal of Advances in Modeling Earth Systems , v.14 , 2022 https://doi.org/10.1029/2021MS002622 Citation Details
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PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

In the coming years, agriculture will be called on to feed a growing population. While intensification can help meet this need, it comes with severe tradeoffs such as increased greenhouse gas emissions, nutrient and chemical pollution, loss of biodiversity, and farmer stress. Adoption of conservation practices on farms can lessen these harms, but in order to predict how and when this occurs, we need a basic understanding of the ecological processes involved.

Since 1988, research at the Kellogg Biological Station Long-term Ecological Research site - KBS LTER - has advanced our understanding of the cropping systems that underpin U.S. agriculture. It provides science-backed information on agricultural landscapes to help make farming both profitable and good for the environment. For this grant, KBS LTER worked to integrate long-term scientific research, education, and engagement with stakeholders and decision-makers to directly inform agricultural management and policies from local to global scales.

KBS LTER connects with the real world, and studies agroecosystem responses to two of the most intense global changes - climate and land use change. The main focus of this award was on resilience, or the ability for an agricultural system to maintain function in response to disturbance. Research from the KBS LTER  identified less intensive farming practices that increase yield and mitigate greenhouse gasses, conserve nutrients, and control pests. The benefits of these less intense practices have become greater and greater over the last three decades, a finding possible only because of the long-term nature of the studies. The long-term perspective at KBS LTER has led to unique discoveries in the areas of biodiversity, climate change, and socioecology.

Biodiversity: Landscape diversity enhances pest suppression. Simplification of agricultural landscapes reduces abundance of predatory insects, which comes at a substantial cost to farmers and society. To study landscape diversity, we have introduced native plant species via “prairie strips” within row crops, testing the hypothesis that higher diversity will enhance resilience of ecological systems in managed lands. Research from KBS LTER found that diverse landscapes serve as habitat for pollinators, such as butterflies. Given global declines in insect abundance, it is important to increase the diversity of habitats and their spatial arrangement across landscapes in order to enhance biodiversity and provide pollination services worth hundreds of millions of dollars per year.

Climate change: To study the future of agriculture under climate change, KBS LTER introduced a new experiment that increased rainfall variability and drought, two conditions predicted in many regions in the coming decades. The drought manipulation occurred on KBS LTER’s hallmark long-term experiment that documents ecological and evolutionary responses to a gradient of land use intensity from intensive agriculture to conservation lands. Using this study as a foundation, we test how mechanisms of drought resilience change across land use intensities across whole ecological systems.

Agriculture emits quantities of greenhouse gasses equivalent to those from the transportation sector. KBS LTER research found that plant-microbe-soil interactions can increase soil’s ability to sequester carbon, reduce nitrous oxide emissions, and promote methane oxidation. When implemented widely, improved management could make cropping systems a major tool in the fight against climate change. Partnering with agricultural and industry professionals, KBS LTER has informed greenhouse gas policies at the national level. One example is through a carbon-credit protocol for agricultural nitrogen management to allow farmers to participate in voluntary carbon credit markets. This protocol, the first for nitrogen, compensates farmers for precise application of nitrogen fertilizer in order to reduce nitrous oxide emissions. 

Socioecology: Research at KBS LTER reveals how farmers perceive and provide ecosystem services. Ongoing research with farmers explores how changing perceptions affect their decisions regarding crop and environmental management. New findings include that conservation cropping practices can improve ecosystem services. KBS LTER has identified the economic value of those services. Paired studies of farmers and consumers track farmer willingness to provide changed practices, along with consumer willingness to pay for ecosystem services that come from those changed practices, such as climate mitigation, water quality regulation, and natural pest control.

To reach the next generation of farmers, scientists, and public decision makers, KBS LTER has developed strong and long-lasting relationships with educators throughout the state and across the world. For almost 30 years, the KBS LTER K-12 Partnership has engaged hundreds of classroom teachers and informal science educators via in-depth professional development workshops, web-based resources, and providing scholarships to bring their students to visit KBS LTER. From this partnership, scientists and teachers worked together to co-design Data Nuggets, which are data literacy activities featuring authentic research and data from scientists. These activities are used in tens of thousands of classrooms worldwide, and help share research findings from the KBS LTER broadly.


Last Modified: 03/25/2024
Modified by: Nicholas M Haddad

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