What evidence exists relating the impact of different grassland management practices to soil carbon in livestock systems? A systematic map protocol.

C content Climate change mitigation Grassland practices Meadow PICO Pastures

Journal

Environmental evidence
ISSN: 2047-2382
Titre abrégé: Environ Evid
Pays: England
ID NLM: 101744999

Informations de publication

Date de publication:
2024
Historique:
received: 25 03 2024
accepted: 24 07 2024
medline: 27 8 2024
pubmed: 27 8 2024
entrez: 27 8 2024
Statut: ppublish

Résumé

Grasslands are essential for providing vital resources in the livestock sector and delivering invaluable ecosystem services such as biodiversity and soil carbon (C) sequestration. Despite their critical importance, these ecosystems face escalating threats from human disturbances, human degradation, and climate change, compromising their ability to effectively stock C. Restoring degraded grasslands emerges as a pragmatic and cost-effective approach to tackling climate change. However, the successful implementation of grassland management toward this goal, faces significant challenges. A systematic mapping approach will help to compile a comprehensive global inventory of studies investigating the impact of differing grassland management practices on soil carbon. In addition, the potential for trade-offs with other greenhouse gas emissions further underlines the value of a systematic assessment. This approach aims to identify knowledge clusters (i.e., well-represented subtopics that are amenable to full synthesis) for potential systematic reviews and pinpoint knowledge gaps requiring further primary research efforts, all contributing to a better understanding of the evidence surrounding this topic. Following systematic evidence synthesis standards, we developed the question to address in the systematic map protocol using the PICO framework. We established a preliminary search string by combining search terms for the Population (Grasslands), Intervention (management) and Outcome (soil carbon) categories, as well as with one additional group (Study types-to focus on farm and field experiments). We will conduct a comprehensive literature search of relevant peer-reviewed and grey literature using Web of Science, Scopus, CABI platforms, Google Scholar, and specialised websites (e.g., Agrotrop). Searches will be conducted in the English, Spanish, Portuguese, French, German, and Mongolian languages, as per the linguistic capabilities of the research team. The comprehensiveness of the search will be assessed by comparing the literature collected to a test-list of forty relevant articles. The repeatability of the literature screening process will be ensured by a list of inclusion/exclusion criteria and inter-reviewer consistency statistical tests. Data extraction will be organised into four complementary sections (article information, PICO categories, study characteristics, measurable parameters), on which we will perform queries to produce the tables, figures and evidence maps that will compose the systematic map. The results will identify and describe knowledge gaps and clusters. The online version contains supplementary material available at 10.1186/s13750-024-00345-2.

Sections du résumé

Background UNASSIGNED
Grasslands are essential for providing vital resources in the livestock sector and delivering invaluable ecosystem services such as biodiversity and soil carbon (C) sequestration. Despite their critical importance, these ecosystems face escalating threats from human disturbances, human degradation, and climate change, compromising their ability to effectively stock C. Restoring degraded grasslands emerges as a pragmatic and cost-effective approach to tackling climate change. However, the successful implementation of grassland management toward this goal, faces significant challenges. A systematic mapping approach will help to compile a comprehensive global inventory of studies investigating the impact of differing grassland management practices on soil carbon. In addition, the potential for trade-offs with other greenhouse gas emissions further underlines the value of a systematic assessment. This approach aims to identify knowledge clusters (i.e., well-represented subtopics that are amenable to full synthesis) for potential systematic reviews and pinpoint knowledge gaps requiring further primary research efforts, all contributing to a better understanding of the evidence surrounding this topic.
Methods UNASSIGNED
Following systematic evidence synthesis standards, we developed the question to address in the systematic map protocol using the PICO framework. We established a preliminary search string by combining search terms for the Population (Grasslands), Intervention (management) and Outcome (soil carbon) categories, as well as with one additional group (Study types-to focus on farm and field experiments). We will conduct a comprehensive literature search of relevant peer-reviewed and grey literature using Web of Science, Scopus, CABI platforms, Google Scholar, and specialised websites (e.g., Agrotrop). Searches will be conducted in the English, Spanish, Portuguese, French, German, and Mongolian languages, as per the linguistic capabilities of the research team. The comprehensiveness of the search will be assessed by comparing the literature collected to a test-list of forty relevant articles. The repeatability of the literature screening process will be ensured by a list of inclusion/exclusion criteria and inter-reviewer consistency statistical tests. Data extraction will be organised into four complementary sections (article information, PICO categories, study characteristics, measurable parameters), on which we will perform queries to produce the tables, figures and evidence maps that will compose the systematic map. The results will identify and describe knowledge gaps and clusters.
Supplementary Information UNASSIGNED
The online version contains supplementary material available at 10.1186/s13750-024-00345-2.

Identifiants

pubmed: 39188311
doi: 10.1186/s13750-024-00345-2
pii: 345
pmc: PMC11344701
doi:

Types de publication

Journal Article

Langues

eng

Pagination

22

Informations de copyright

© The Author(s) 2024.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no competing interests.

Auteurs

Camille Rousset (C)

Integrative Agroecology Group, Research Division Agroecology & Environment, Reckenholzstr. 191, 8046 AgroscopeZurich, Switzerland.

Carmen Segura (C)

Net Zero and Resilient Farming. Rothamsted Research - North Wyke. Okehampton, Okehampton, UK.
Department of Soil Science and Agricultural Chemistry, University of Granada, Granada, Spain.

Anina Gilgen (A)

Integrative Agroecology Group, Research Division Agroecology & Environment, Reckenholzstr. 191, 8046 AgroscopeZurich, Switzerland.

Marta Alfaro (M)

AgResearch Ltd, Ruakura Research Centre, 10 Bisley Road, Hamilton, 3214 New Zealand.

Luís André Mendes (LA)

Departamento de Producción Agraria, ETSIAAB, Universidad Politécnica de Madrid (UPM), Madrid, Spain.

Mike Dodd (M)

AgResearch Ltd, Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442 New Zealand.

Batnyambuu Dashpurev (B)

Institute for Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany.

Mike Bastidas (M)

International Center for Tropical Agriculture (CIAT), Km 17 Recta Cali-Palmira, Palmira, Colombia.

Julian Rivera (J)

Centre for Research On Sustainable Agriculture (CIPAV), Cali, Colombia.

Lutz Merbold (L)

Integrative Agroecology Group, Research Division Agroecology & Environment, Reckenholzstr. 191, 8046 AgroscopeZurich, Switzerland.

Eduardo Vázquez (E)

Departamento de Producción Agraria, ETSIAAB, Universidad Politécnica de Madrid (UPM), Madrid, Spain.

Classifications MeSH