From local to global and from global to local: Designing the protocol to model agriculture and climate resilience

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00639239" target="_blank" >RIV/86652079:_____/25:00639239 - isvavai.cz</a>

Alternative codes found

RIV/60460709:41110/25:102368 RIV/60460709:41210/25:102368

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S2665972725002764?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2665972725002764?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.indic.2025.100855" target="_blank" >10.1016/j.indic.2025.100855</a>

Result language

angličtina

Original language name

From local to global and from global to local: Designing the protocol to model agriculture and climate resilience

Original language description

Agriculture is an essential factor in the climate-food-biodiversity nexus, affecting climate resilience and, ultimately, whether we achieve the global Sustainable Development Goals. This study aimed to investigate the local-global interaction by integrating sustainability indicators with three modelling methods to address agriculture and climate resilience. The novelty of this research lies in its innovative methodology, which employs locally sourced indicators to integrate with climate and crop growth models (DSSAT, local biophysics), fed into large-scale equilibrium models (MAGNET, global economics) and Life-Cycle Assessment tools (LCA, environmental feedback). This enables precise mapping and analyzing regions that are most and least vulnerable to climate change, which is crucial for informing policymakers. Additionally, the novel methodology has incorporated focus groups to design a set of indicators that are compatible with typological input data for the modelling protocol.nOur methodology quantified the impact of heat, drought, CO2, and extreme weather conditions on local yield changes. This approach uniquely combined regional-level data with five types of indicators: farming practices, water, climate/soil, biodiversity, and economics. Focus groups were instrumental in the process of gathering, selecting, and fine-tuning indicators, identifying gaps, and areas where policies should be tailored and targeted.nThis innovative work represents a significant step forward for evidence-based policy-making and allows us to emphasize the role of “local-to-global” feedback in scaling up models. It demonstrates how localized climate extremes can disproportionately influence the stability of global wheat production. It is important to highlight that biodiversity indicators are significantly missing from the large-scale modelling of the climate-food-biodiversity nexus.n

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Environmental and Sustainability Indicators

ISSN

2665-9727

e-ISSN

2665-9727

Volume of the periodical

Sep.

Issue of the periodical within the volume

27

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

29

Pages from-to

1000855

UT code for WoS article

001567850900001

EID of the result in the Scopus database

2-s2.0-105014010264