Evidence map›Paper›PMID 37332900›Full record

ArticleHeliyon2023

Climate change and livestock herders wellbeing in Pakistan: Does nexus of risk perception, adaptation and their drivers matter?

Muhammad Usman, Asghar Ali, Joanna Rosak-Szyrocka, Ladislav Pilař, Sajjad Ahmad Baig, Rimsha Akram, Abdulazeez Hudu Wudil

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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

7 authors at 4 institutions in 3 countries.

Muhammad UsmanInstitute of Agricultural and Resource Economics, University of Agriculture, Faisalabad, Pakistan.
Asghar AliInstitute of Agricultural and Resource Economics, University of Agriculture, Faisalabad, Pakistan.
Joanna Rosak-SzyrockaFaculty of Management, Czestochowa University of Technology, 42-200, Czestochowa, Poland.
Ladislav PilařDepartment of Management, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic.
Sajjad Ahmad BaigFaisalabad Business School, National Textile University, Faisalabad, Pakistan.
Rimsha AkramDepartment of Botany, University of Agriculture, Faisalabad, Pakistan.
Abdulazeez Hudu WudilDepartment of Agricultural Economics and Extension, Federal University, Dutse, Jigawa State, Nigeria.
University of Agriculture Faisalabad · PKCzech University of Life Sciences Prague · CZCzęstochowa University of Technology · PLNational Textile University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rural people, particularly in developing nations, rely on livestock as a key source of income. In Pakistan, rural people depend profoundly on buffalo, cows, sheep, and goats to earn their livelihood. The systems of agricultural production are at risk because of the negative effects of climate change. It badly affects production and quality of milk and meat, animal health, productivity, breeding, feed, and rangelands of livestock production. Climate change risks assessment and adaptation are required to minimize losses from these effects, which are not just technical but also socioeconomically significant. Hence, based on data collected from 1080 livestock herders using a multistage sampling technique in Punjab, Pakistan this study aims to assess perceived impact of climate change on livestock production and to assess coping strategies. In addition, determinants of adaptation strategies and their effects on livestock production was also estimated. Binary Logistic Regression was used to identify the drivers of adaptation strategies. In addition, Multi Group Analysis (MGA) in Partial Least Squares Path Modelling (PLS-PM) was applied to compare adapter and non-adapter of climate change adaptation strategies. Findings indicated that there are spread of various diseases to livestock due to adverse effects of climatic variability. There was reduction in the availability of the livestock's feed. Moreover, competition of water and land resources of livestock was also increasing. Low production efficiency resulted in decline of milk yield and meat production. Likewise, mortality of livestock, increased in still births, reduction in reproductive performance, decline in animal fertility, longevity, and general fitness, decreased birthing rates, rises in age at foremost calving in beef cattle was also prevailing. There were different adaptation policies used by farmers to handle with climate change and these were influenced by several demographic, socioeconomic, and agronomic aspects. Findings indicated that nexus of risk perception, adaptation plans and their determinants are beneficial to reduce the consequences of climatic variability and it improve the wellbeing of the herders. Risk management system may be created to protect livestock against losses caused by extreme weather events by providing awareness regarding influence of climate change on livestock. Easy and cheaper credit should be provided to the farmers to manage with the vulnerabilities of climate change.

Indexed as

AdaptationBinary logistic regressionClimate changeDeterminantsMGA PLS-PMPakistanPerceived impactsWellbeing

Identifiers

PMID37332900
PMCPMC10272481
OpenAlexW4379193823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.