Growing scientific consensus that agriculture is affected

The gap

Evidence profile

Stated in the limitations and abstract and cells future research sections of the source papers, classified as general, drawn from work published between 2013 and 2026, spanning 3 journals. Those papers have been cited 29 times in total.

Supporting evidence — 3 representative gaps

• Assessing the Influence of Farmer Social Networks on the Efficacy of Climate Changes in Agricultural Settings (2024) · ICRRD Quality Index Research Journal · doi

  Since vulnerability is a multidimensional concept and not directly measurable, it is associated with a high level of uncertainty in the indicator selection, measurement, and classification processes. First, it was challenging to select the specific indicators for crops, fisheries, and livestock, because different crops, fish species, and livestock varieties are found in different districts, and uniform indicators had to be adopted across the districts (Yila & Resurreccion 2023). Secondly, the trend of agricultural production and the extent of technology use were considered in this study, rather than simply using an existing crop model to predict the future scenario of agricultural output. However, linking a crop model in multi-indicator approaches could be more useful for estimating the sensitivity and adaptive capacity of agriculture. Thirdly, it was challenging to find district-level historical data on climate disasters and, most importantly, for the same period of time. Moreover, a few districts did not have any weather stations, and for those districts, data from the nearest weather station were used. Therefore, there is room for reducing the uncertainty of vulnerability assessment, if more specific data become available for the same period (Maddison 2011; Deressa et al. 2012). Finally, we classified the vulnerability of a coastal district based on a beta distribution of vulnerability index scores. However, it is expected that the classification of vulnerability may not prevail over the long term because an improvement in adaptive capacity may moderate climate change impacts in the future.

  generalstated in limitationsevidence 5/5
  Keywords: vulnerability districts level uncertainty indicator classification challenging specific indicators crops livestock different agricultural crop model
• Is South Asian Agriculture Adapting to Climate Change? Evidence from the Indo-Gangetic Plains (2013) · Agroecology and Sustainable Food Systems · cited 29× · doi

  Despite growing scientific consensus that agriculture is affected by climate change and variability, there is still limited knowledge on how agricultural systems respond to climate risks under different circumstances.

  generalstated in abstractevidence 4/5
  Keywords: climate despite growing scientific consensus agriculture affected change variability there still limited knowledge agricultural systems
• EL NIÑO, LA NIÑA Y AGRICULTURA: VARIABILIDAD CLIMÁTICA Y VULNERABILIDAD PRODUCTIVA EN LA REGIÓN NORTE PIONERA DE PARANÁ, BRASIL (2026) · Revista de Geopolítica · doi

  Further research is needed to understand the impacts of climate variability on agricultural production in different regions. - Studies should consider the development of climate-resilient agricultural practices. - Research should focus on the analysis of climate and agricultural data to inform agricultural planning and management strategies.

  generalstated in cells future researchevidence 4/5
  Keywords: further research needed understand impacts climate variability agricultural

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