Farmers’ adaptation to climate-smart agriculture (CSA) in NW Turkey

Everest, Bengü

doi:10.1007/s10668-020-00767-1

Cited by 25 publications

(23 citation statements)

References 33 publications

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“…Farming experience significantly influences farmers' probabilities of adapting to cope with climate change as more experienced farmers are more aware of past climate events [42,44,45,51,60]. Further, farmers who are more experienced regarding previous climate damage are better prepared [23,38,40,44,63]. The knowledge learnt over the years enables them to make effective decisions to reduce risks to their farms [41].…”

Section: Demographic Factorsmentioning

confidence: 99%

“…They have more capacity to invest in high-cost strategies [24] and tend to respond earlier [30]. Farm size also has a significant and positive influence on the choices of farmers [42,63].…”

Section: Social-economic Factorsmentioning

confidence: 99%

“…According to Masud, Azam, Mohiuddin, Banna, Akhtar, Alam and Begum [20], farm income has considerable impacts on farmers' adaptation practices. High farm income enhances the possibility of selecting soil management strategies, such as minimised soil tillage [63] or land clearing without slashing and burning [47]. Farmers with high agricultural incomes are able to deal with the risk of various adaptation options.…”

Section: Social-economic Factorsmentioning

confidence: 99%

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Climate Change Adaptation Influences and Barriers Impacting the Asian Agricultural Industry

2021

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There has been an increasing interest among scholars regarding the impacts of climate change on agriculture and possible adaptation strategies for farmers. Little attention has been paid, however, to reviewing adaptation initiatives amongst farmers in Asia. This article fills this knowledge gap by examining the current literature on Asian farmers’ perception of climate change, their adaptation strategies, key factors influencing their choices, and the barriers to change. A systematic quantitative literature review is undertaken of 48 papers taken from a range of sources. The review indicates that farmers’ perceptions of climate change have been consistent with the scientific data. It further identifies farmers’ adaptation strategies with regards to soil conservation, water management and land use changes. The review shows numerous factors influencing, and barriers impacting, farmers’ ability to adapt. Influencing factors were analysed and categorised into five groups: cognitive, demographic, social-economic, resources, and institutional. Barriers hampering their adaptive capacity were identified as: a lack of access to information, a lack of access to extension services, limited awareness and knowledge, and limited financial options. The review finishes with some recommendations for future research.

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Section: Demographic Factorsmentioning

confidence: 99%

“…They have more capacity to invest in high-cost strategies [24] and tend to respond earlier [30]. Farm size also has a significant and positive influence on the choices of farmers [42,63].…”

Section: Social-economic Factorsmentioning

confidence: 99%

Section: Social-economic Factorsmentioning

confidence: 99%

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Climate Change Adaptation Influences and Barriers Impacting the Asian Agricultural Industry

2021

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“…This high-density motor theme is related to sustainable agriculture, which shows its strong relationship with climate-related themes (e.g., 'CLIMATE-CHANGE', 'CLIMATE-CHANGE-ADAPTATION'), environmental preservation (e.g., 'AGROFORESTRY', 'CONSERVATION-AGRICULTURE'), organizations (e.g., 'SMALLHOLDER FARMERS') and discussions related to agricultural resilience, food security and the main challenges for organizations, especially for smallholders. Related research discusses technological adoption [87], farmers' adaptation to resilient agriculture [88], economic models [89], ways to increase the resilience of smallholder farmers [90], and the impact of CSA on food security [91], among other issues associated with resilient agriculture.…”

Section: Climate-smart Agriculture (Csa)mentioning

confidence: 99%

“…Three clusters stand out with a large volume of associated documents, they are 'IoT', 'UAV' and 'CSA', which indicates that the use of emerging technologies and sustainable development is currently the most important concerns of researchers in the primary sector. The 'IoT' and 'UAV' clusters show the potential and adaptability of small sensors for any agricultural scenario, whether in large crops or in mountainous areas that are difficult to cultivate [11], while the 'CSA' cluster shows that concern for the sustainable development of agriculture continues to grow and is characterized as one of the most important discussions for smart agriculture [88,91]. In addition, discussions related to 'DEEP-LEARNING' and 'MACHINE-VISION' represent technological adoption in agriculture, and themes like 'APPARENT-ELECTRICAL-CONDUCTIVITY' [155], 'WATER-BALANCE' [156] and 'PROXIMAL-SOIL-SENSING' [157] show that the concern with analyzes of plants and soil remains extremely important for the digital transformation of agriculture.…”

Section: Third Subperiod (2018 -2020)mentioning

confidence: 99%

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

Mk¹,

LdS²,

Cr³

et al. 2021

Preprint

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: The agriculture sector is one of the backbones of many countries’ economies and its processes have been changing in order to enable technological adoption to increase productivity, quality, and sustainable development. In this research, we present a theoretical reflection through a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, the so-called Precision Agriculture (PA) and Agriculture 4.0 (A4.0). To do this, we used 4,694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis (BPNA) of the literature with the support of the PICOC protocol and the SciMAT software. Our findings present 22 strategic themes related to Digital Agriculture (DA) such as Internet of Things (IoT) and Climate-smart Agriculture (CSA) among others, and the thematic network structures of the motor themes and the thematic evolution structure of the field of the study over time. In addition, our results discuss the main challenges and opportunities of DA. Our findings have the potential to provide insights for practitioners and researchers in decision-making and pave the way for future works.

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Eastern Australian Farmers Managing and Thinking Differently: Innovative Adaptation Cycles

McKenzie,

Joyce,

Zander

et al. 2023

Environmental Management

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The uncertainty of climate change is a significant challenge prompting Australian farmers to create different thinking and different management systems that ensure sustained farm business viability and continuity, particularly in extreme environments. The purpose of this study was to explore the conditions and adaptive processes for managing farm resilience and cyclic adaptation pathways, in response to climate change. A positive deviance sample of farmers was interviewed, and data was collected from a cohort of twenty-two climate change innovators across Eastern Australia. Grounded theory analysis of data identified three processes and two transactional maps of climate change adaptation, in this under studied farmer cohort. The development of the transactional maps found the resilience and preparedness processes as adaptive learning responses to the stressors of climate change. The processes of managing the business and resources were identified as markers of preparedness and resilience that ensured business viability and continuity. Farmers prepared for climate change through transforming make-over processes as an adaptive learning response to climate challenges. Mapping the cycle of adaptation identified the processes of socio-cognitive agency, learning from feedback and consequences, and contextual variables as critical elements of adaptation. The intervening socio-ecological processes of intelligence gathering and influencing, and socio-cognitive precursors, were found to regulate the adaptation cycle. The cycle was found to have both incremental and transformative transmission processes, and intervening processes of climate and contextual variables. The changing patterns and extremes of climate change were found to impact the growing season, and its potential, as unique variables that demand farm adaptation. Ultimately, this study identified potential points of influence for leveraging preparedness behaviours.

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Farmers’ adaptation to climate-smart agriculture (CSA) in NW Turkey

Cited by 25 publications

References 33 publications

Climate Change Adaptation Influences and Barriers Impacting the Asian Agricultural Industry

Climate Change Adaptation Influences and Barriers Impacting the Asian Agricultural Industry

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

Eastern Australian Farmers Managing and Thinking Differently: Innovative Adaptation Cycles

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