Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials, and Further Work Need

Ahmed, Mukhtar; Hayat, Rifat; Ahmad, Munir; Ul-Hassan, Mahmood; Kheir, Ahmed M. S.; ul-Hassan, Fayyaz; Ur-Rehman, Muhammad Habib; Shaheen, Farid Asif; Raza, Muhammad Ali; Ahmad, Shakeel

doi:10.1007/s42106-022-00197-1

Cited by 58 publications

(18 citation statements)

References 184 publications

(190 reference statements)

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“…In order to meet demand, agricultural production and food supply chains must be optimized through the production and delivery of effective food, feed, fiber, and fuel (Abe 2017). Urbanization, climate change, and water scarcity make this goal more difficult (Ahmed et al, 2022 ; Ejaz et al, 2022 ). Big data of agriculture (AgBD) will be considered the key factor of the Second Green Revolution, required to meet these demands.…”

Section: Resultsmentioning

confidence: 99%

Developing an analytical framework for estimating food security indicators in the United Arab Emirates: A review

Ammar

Kheir

Ali

et al. 2023

Environ Dev Sustain

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Rapid population growth, climate change, limited natural resources, and the COVID-19 pandemic contribute to increased global hunger, necessitating intensive efforts to ensure food security and nutrition (FSN). Previous FSN approaches covered some dimensions, but not all, resulting in significant gaps in food security indicators. The Gulf Cooperation Council (GCC) and the Middle East and North Africa (MENA) regions have received less attention in food security studies, thus far necessitating considerable effort to develop an appropriate analytical framework. This study reviewed articles and international reports of FSN indicators, drivers and policies, methods, and models and extracted the challenges and gaps from the global and UAE contexts. The UAE and the world have gaps in FSN drivers, indicators, and methods, necessitating potential solutions to meet future challenges such as rapid population growth, pandemics, and limited natural resources. As a result, we created a newly developed analytical framework that addresses the shortcomings of previous approaches such as sustainable food systems developed by FAO and the Global Food Security Index (GFSI) and covers all aspects of food security. Gaps in knowledge in FSN drivers and policies, indicators, big data, methods, and models were considered in the developed framework, which has specific advantages. The novel developed framework addresses all food security dimensions (access, availability, stability, and utilization), ensuring poverty reduction, food security, and nutrition security while outperforming previous approaches (i.e., FAO and GFSI). The developed framework could be used successfully not only in the UAE and MENA, but also, globally, helping to solve food insecurity and malnutrition for future generations. The scientific community and policymakers should disseminate such solutions to address global food insecurity and ensure nutrition for future generations in the face of rapid population growth, limited natural resources, climate change, and spreading pandemics. Supplementary Information The online version contains supplementary material available at 10.1007/s10668-023-03032-3.

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Section: Resultsmentioning

confidence: 99%

Developing an analytical framework for estimating food security indicators in the United Arab Emirates: A review

Ammar

Kheir

Ali

et al. 2023

Environ Dev Sustain

Self Cite

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“…Moreover, nineteen papers discuss the issue of predicting and managing farm complexity, but, at the same time, great relevance is given to the food-security problem, discussed in nine sources. The research piece by Ahmed et al. (2022) is an example of this last issue.…”

Section: Resultsmentioning

confidence: 99%

Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda

Cavazza,

Dal Mas,

Paoloni

et al. 2023

BFJ

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PurposeArtificial Intelligence (AI) is a growing technology impacting several business fields. The agricultural sector is facing several challenges, which may be supported by the use of such a new advanced technology. The aim of the paper is to map the state-of-the-art of AI applications in agriculture, their advantages, barriers, implications and the ability to lead to new business models, depicting a future research agenda.Design/methodology/approachA structured literature review has been conducted, and 37 contributions have been analyzed and coded using a detailed research framework.FindingsFindings underline the multiple uses and advantages of AI in agriculture and the potential impacts for farmers and entrepreneurs, even from a sustainability perspective. Several applications and algorithms are being developed and tested, but many barriers arise, starting from the lack of understanding by farmers and the need for global investments. A collaboration between scholars and practitioners is advocated to share best practices and lead to practical solutions and policies. The promising topic of new business models is still under-investigated and deserves more attention from scholars and practitioners.Originality/valueThe paper reports the state-of-the-art of AI in agriculture and its impact on the development of new business models. Several new research avenues have been identified.

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“…Global warming and unsustainable management have influenced agricultural production in the dry land, leading to food insecurity and loss of biodiversity (Ahmed et al 2022;Hirwa et al 2022). The negative impact of climate change, particularly in the semi-arid regions of the world, is due to the rapid melting of glaciers and prolonged droughts, leading to significant declines in agricultural development (Ullah et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Impact of water stress on adaptation and performance of sheep and goat in dryland regions under climate change scenarios: a systematic review

Tulu¹,

Gadissa²,

Hundessa³

2023

JABB

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Climate change is shifting rainfall patterns, air temperature, river flows, and sea levels globally, resulting in changes in ground and surface water quality due to salinization, especially in arid and semiarid regions. During dry periods, the main water quality issue is a high quantity of salt in the water. Whilst water with fewer than 3,000 mg/L total salts is beneficial to all livestock species, tolerances vary greatly based on conditions and circumstances. Understanding the normal salt tolerance of animals without harming their production and health is important for sustainable livestock production, especially in dry areas. Understanding the normal salt tolerance of animals without harming their production and health is important for sustainable livestock production, especially in dry areas. Thus, this review examined the physiological, behavioral, hematological, and biochemical responses of sheep and goats in dryland areas under climate change scenarios. Despite changes in physiological, blood, biochemical, feed and water intake, sheep and goats adapt to salinity levels to drinking water in arid environments. Adaptable and native breeds are known to be more tolerant of saline water than selected exotic breeds. Small ruminants experience a decrease in food intake and weight, a decrease in breathing rate, and an increase in blood metabolite concentration when the salt in their drinking water increases. The concept that native and adapted small ruminant breeds can withstand high water salinity is gaining popularity in scientific research worldwide. More research is needed to investigate the water tolerance capabilities of adapted breeds, especially in dry and water-saline regions affected by climate change.

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Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials, and Further Work Need

Cited by 58 publications

References 184 publications

Developing an analytical framework for estimating food security indicators in the United Arab Emirates: A review

Developing an analytical framework for estimating food security indicators in the United Arab Emirates: A review

Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda

Impact of water stress on adaptation and performance of sheep and goat in dryland regions under climate change scenarios: a systematic review

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