Evidence map›Paper›PMID 38937500›Full record

ArticleScientific reports2024

Leveraging browse and grazing forage estimates to optimize index-based livestock insurance.

Njoki Kahiu, J Anchang, V Alulu, F P Fava, N Jensen, N P Hanan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Njoki KahiuNew Mexico State University, Las Cruces, USA. nkahiu@nmsu.edu.
J AnchangNew Mexico State University, Las Cruces, USA.
V AluluInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
F P FavaInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
N JensenInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
N P HananNew Mexico State University, Las Cruces, USA.

Funding

CGIAR Research Programs at the International Livestock Research Institute ILRI CRPs; 2020-2021NASA-SERVIR Applied Science Team program (#80NSSC20K0162)The National Academies of Sciences, Engineering, and Medicine Partnerships for Enhanced Engagement in Research (PEER) Cycle 8
6 · The paper itself

Abstract

African pastoralists suffer recurrent droughts that cause high livestock mortality and vulnerability to climate change. The index-based livestock insurance (IBLI) program offers protection against drought impacts. However, the current IBLI design relying on the normalized difference vegetation index (NDVI) may pose limitation because it does not consider the mixed composition of rangelands (including herbaceous and woody plants) and the diverse feeding habits of grazers and browsers. To enhance IBLI, we assessed the efficacy of utilizing distinct browse and grazing forage estimates from woody LAI (LAI

Indexed as

LivestockAnimal FeedAnimal HusbandryAnimalsBiomassClimate ChangeDroughtsHerbivoryKenyaAggregate leaf area index (LAIA)Herbaceous leaf area index (LAIH)Index Based Livestock Insurance (IBLI)Livestock mortalityNormalized Difference Vegetation Index (NDVI)Woody leaf area index (LAIW)

Identifiers

PMID38937500
PMCPMC11211467

What OpenQuestion holds

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Registered trials

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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.