Evidence map›Paper›PMID 41931185›Full record

ArticleCarbon balance and management2026

Merging rigor and relevance in grazingland research: a comprehensive social-ecological monitoring approach.

Paige L Stanley, Alexandria S Kuhl, Isabella C F Maciel, M Francesca Cotrufo, Douglas J Goodwin, Jennifer Hodbod, Martha C Anderson, John D Scasta, Erika S Peirce, Micaela Branecky and 33 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Carbon balance and management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

43 authors.

Paige L StanleyDepartment of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, 80521, USA. paige.stanley@colostate.edu.
Alexandria S KuhlInstitute of Water Research, Michigan State University, East Lansing, MI, 48823, USA.
Isabella C F MacielNoble Research Institute, Ardmore, OK, 73401, USA.
M Francesca CotrufoDepartment of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, 80521, USA.
Douglas J GoodwinTexas A&M Agrilife Research, College Station, TX, 77845, USA.
Jennifer HodbodSustainability Research Institute, University of Leeds, Leeds, LS2 9JT, UK.
Martha C AndersonHydrology and Remote Sensing Laboratory, USDA Agricultural Research Service, Beltsville, MD, 10300, USA.
John D ScastaDepartment of Ecosystem Science and Management, University of Wyoming, Laramie, WY, 82071, USA.
Erika S PeirceRangeland Resources and Systems Research Unit, USDA Agricultural Research Service, Fort Collins, CO, 80526, USA.
Micaela BraneckyNoble Research Institute, Ardmore, OK, 73401, USA.
Sarah BrokusDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA.
Robert J ClementQuanterra Systems Ltd, Centenary House, Peninsula Park, Exeter, EX2 7XE, UK.
Nathan D DeLayDepartment of Agricultural and Resource Economics, Colorado State University, Fort Collins, CO, 80521, USA.
Justin D DernerRangeland Resources and Systems Research Unit, USDA Agricultural Research Service, Fort Collins, CO, 80526, USA.
Morgan MathisonSleeDepartment of Community Sustainability, Michigan State University, East Lansing, MI, 48824, USA.
Rebecca MitchellQuanterra Systems Ltd, Centenary House, Peninsula Park, Exeter, EX2 7XE, UK.
Erica L PattersonDepartment of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, 80521, USA.
Yao ZhangNatural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, 80521, USA.
Jeremiah AsherInstitute of Water Research, Michigan State University, East Lansing, MI, 48823, USA.
Feng GaoHydrology and Remote Sensing Laboratory, USDA Agricultural Research Service, Beltsville, MD, 10300, USA.
Dale T ManningBaker School of Public Policy, University of Tennessee, Knoxville, TN, 37998, USA.
Glenn O'NeilInstitute of Water Research, Michigan State University, East Lansing, MI, 48823, USA.
Sangmi L PallickaraDepartment of Computer Science, Colorado State University, Fort Collins, CO, 80521, USA.
Keith PaustianDepartment of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, 80521, USA.
Matt R RavenDepartment of Community Sustainability, Michigan State University, East Lansing, MI, 48824, USA.
Joao P SacramentoDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA.
Yining WuBaker School of Public Policy, University of Tennessee, Knoxville, TN, 37998, USA.
Jenna M LikinsTexas A&M Agrilife Research, College Station, TX, 77845, USA.
Dabit BistaDepartment of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing, MI, 48824, USA.
Florencia ColellaDepartment of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing, MI, 48824, USA.
Guilhermo F S CongioDepartment of Animal Science, Luiz de Queiroz College of Agriculture, University of Sao Paulo, Piracicaba, 13418-900, SP, Brazil.
Zekuan DongDepartment of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing, MI, 48824, USA.
Ethan GordonCollege of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OR, 97333, USA.
Hannah GosnellCollege of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OR, 97333, USA.
Andrey K GuberDepartment of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, 48824, USA.
Sean P KearneyThunder Basin Grasslands Prairie Ecosystem Association, Douglas, WY, 82633, USA.
Frank LupiDepartment of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing, MI, 48824, USA.
Abdul MatinDepartment of Computer Science, Colorado State University, Fort Collins, CO, 80521, USA.
Nicole M NimlosDepartment of Ecosystem Science and Management, University of Wyoming, Laramie, WY, 82071, USA.
Jonathan VivasDepartment of Community Sustainability, Michigan State University, East Lansing, MI, 48824, USA.
Timm M GergeniDepartment of Ecosystem Science and Management, University of Wyoming, Laramie, WY, 82071, USA.
Ada P SmithCollege of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OR, 97333, USA.
Jason E RowntreeDepartment of Animal Science, Michigan State University, East Lansing, MI, 48824, USA.

Funding

Foundation for Food and Agriculture Research DSnew-0000000028
6 · The paper itself

Abstract

backgroundDespite decades of study, current research on grazing management’s impacts on ecosystem health and its socioeconomic drivers remains too limited in scope and scale to enable adaptive, evidence-based decision making by producers. There is a pressing need for interdisciplinary research that collects ecosystem data at broader spatial and temporal scales while incorporating working farms and ranches. Such efforts are critical for informing grazing decisions and understanding grazinglands’ potential to deliver ecosystem services, including climate mitigation, water cycling, resilience, and rural livelihoods.

resultsThe Metrics, Management, and Monitoring (3M) project addresses this need through a novel social-ecological framework that integrates biophysical, socioeconomic, and management data across U.S. grazinglands. The project combines controlled experiments at four intensively monitored “hubs” with data from 59 producer-managed farms and ranches. Its core objectives are to: (1) assess the social-ecological health of grazinglands across diverse ecoregions, (2) refine monitoring approaches to improve scalability and accuracy, and (3) integrate producer-led data to balance experimental rigor with real-world relevance. Over 50 scientists collaborate on 3M to evaluate how grazing strategies affect soil carbon, water dynamics, CO₂ fluxes, plant communities, productivity, social wellbeing, and producer economics.

conclusionsThese insights support the development of ecosystem models and decision-support tools to help producers make evidence-based choices. Beyond data generation, 3M offers a scalable research model that bridges ecological and social sciences to support adaptive, informed grazing management. This integrated framework provides a transferable template for studying any working landscape where human and ecological systems are deeply interconnected.

Indexed as

Ecosystem functionModelingMonitoringSocial-ecological systemsSoil carbon

Identifiers

PMID41931185
PMCPMC13094286

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.