Evidence map›Paper›PMID 31787839›Full record

ArticleEnvironmental modelling & software : with environment data news2019

To what extent is climate change adaptation a novel challenge for agricultural modellers?

R P Kipling, C F E Topp, A Bannink, D J Bartley, I Blanco-Penedo, R Cortignani, A Del Prado, G Dono, P Faverdin, A-I Graux and 14 more

Abstract read
In one paragraph

Article in Environmental modelling & software : with environment data news, 2019. 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

24 authors.

R P KiplingAberystwyth University, Plas Gogerddan, Aberystwyth, Ceredigion, SY23 3EE, UK.
C F E ToppSRUC, West Mains Rd, Edinburgh, EH9 3JG, UK.
A BanninkWageningen Livestock Research, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
D J BartleyDisease Control, Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, EH26 0PZ, UK.
I Blanco-PenedoSwedish University of Agricultural Sciences, Department of Clinical Sciences, SE-750 07, Uppsala, Sweden.
R CortignaniDepartment of Agricultural and Forestry scieNcEs (DAFNE), Tuscia University, Viterbo, Italy.
A Del PradoBasque Centre for Climate Change (BC3), Edificio Sede Nº 1, Planta 1, Parque Científico de UPV/EHU, Barrio Sarriena s/n, 48940, Leioa, Bizkaia, Spain.
G DonoDepartment of Agricultural and Forestry scieNcEs (DAFNE), Tuscia University, Viterbo, Italy.
P FaverdinPEGASE, Agrocampus Ouest, INRA, Saint-Gilles, 35590, France.
A-I GrauxPEGASE, Agrocampus Ouest, INRA, Saint-Gilles, 35590, France.
N J HutchingsDepartment of Agroecology, Aarhus University, Postbox 50, Tjele, 8830, Denmark.
L LauwersFlanders Research Institute for Agriculture, Fisheries and Food, Merelbeke, Belgium.
Ş Özkan GülzariWageningen Livestock Research, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
P ReidsmaPlant Production Systems, Wageningen University & Research, P.O. Box 430, Wageningen, 6700 AK, the Netherlands.
S RolinskiPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Telegraphenberg A31, D-14473, Potsdam, Germany.
M Ruiz-RamosUniversidad Politécnica de Madrid, CEIGRAM-ETSIAAB, 28040, Madrid, Spain.
D L SandarsSchool of Water, Energy, and Environment (SWEE), Cranfield University, Cranfield, Bedfordshire, MK43 0AL, UK.
R SándorAgricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Brunszvik u 2, Martonvásár, H-2462, Hungary.
M SchönhartInstitute for Sustainable Economic Development, BOKU University of Natural Resources and Life Sciences, Feistmantelstraße 4, 1180, Vienna, Austria.
G SeddaiuDesertification Research Centre and Dept. Agricultural Sciences, Univ. Sassari, Sassari, Italy.
J van MiddelkoopWageningen Livestock Research, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
S ShresthaSRUC, West Mains Rd, Edinburgh, EH9 3JG, UK.
I WeindlPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Telegraphenberg A31, D-14473, Potsdam, Germany.
V EorySRUC, West Mains Rd, Edinburgh, EH9 3JG, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/N00485X/1
6 · The paper itself

Abstract

Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impacts and efficacy of adaptation measures, and the design of optimal strategies. Although there are many challenges to modelling agricultural CC adaptation, it is unclear whether these are novel or, whether adaptation merely adds new motivations to old challenges. Here, qualitative analysis of modellers' views revealed three categories of challenge: Content, Use, and Capacity. Triangulation of findings with reviews of agricultural modelling and Climate Change Risk Assessment was then used to highlight challenges specific to modelling adaptation. These were refined through literature review, focussing attention on how the progressive nature of CC affects the role and impact of modelling. Specific challenges identified were: Scope of adaptations modelled, Information on future adaptation, Collaboration to tackle novel challenges, Optimisation under progressive change with thresholds, and Responsibility given the sensitivity of future outcomes to initial choices under progressive change.

Indexed as

AdaptationAgricultural modellingClimate changeResearch challenges

Identifiers

PMID31787839
PMCPMC6876672

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.