Evidence map›Paper›PMID 33646545›Full record

ArticleEnvironmental science and pollution research international2021

Assessing and building climate change resilience of farming systems in Tunisian semi-arid areas.

Jamel Ben Nasr, Hatem Chaar, Fadoua Bouchiba, Lokman Zaibet

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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Jamel Ben NasrNational Agronomic Institute of Tunisia (INAT), University of Carthage, Tunis, Tunisia. jamelnasr@yahoo.fr.ORCID http://orcid.org/0000-0002-5281-3893
Hatem ChaarNational Agronomic Institute of Tunisia (INAT), University of Carthage, Tunis, Tunisia.
Fadoua BouchibaNational Agronomic Institute of Tunisia (INAT), University of Carthage, Tunis, Tunisia.
Lokman ZaibetCollege of Agriculture and Marine Sciences, Sultan Qaboos University, Muscat, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The agricultural sector plays a strategic role in the Tunisian economy, particularly in rural areas. Resilience and adaptation to climate change are the main challenges facing this sector. This paper aims to analyze climate change resilience of agricultural production systems in Tunisian semi-arid areas and to propose options for policy interventions. A path Structural Equation Model (SEM) was used to predict the resilience of these systems using the partial least squares method (PLS). Results show that farming systems in Tunisian semi-arid areas remain threatened against negative impact of climate change since 80% of farms in the sample have shown low resilience levels. The most important determinants of agricultural systems' resilience are farmers' income and access to food, adaptive capacity, and access to productive and non-productive assets. Results indicate also that integrated systems, income diversification, along with cooperation and collective action are the key options to enhance resilience of rural households and farming systems. It is recommended to raise awareness of stakeholders and decision-makers about climate change challenges and to develop integrated approaches to better engaging with local stakeholders and institutions in adaptation programs and strategies development.

Indexed as

AgricultureClimate ChangeAcclimatizationFarmersFarmsHumansAdaptive capacityClimate changeFarming systemsPLS-SEMResilience

Identifiers

What OpenQuestion holds

Textmetadata
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.