Integrating digital technologies in agriculture for climate change adaptation and mitigation: State of the art and future perspectives

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 226, С. 109412 - 109412

Опубликована: Сен. 7, 2024

Язык: Английский

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Climate Change Mitigation and Adaptation in Nigeria: A Review

Sustainability, Год журнала: 2024, Номер 16(16), С. 7048 - 7048

Опубликована: Авг. 16, 2024

Nigeria is one of the most vulnerable countries to climate change (CC) impact. Thus, there a need mitigate emission and implement strategies adapt impacts CC. This study review publications on CC mitigation and/or adaptation in Nigeria. The aims are as follows: identify commonly adopted (CCAS) their determinants; (CCMS) that widely deployed reduce emissions Relevant keywords were used search for Scopus Google Scholar. Our dataset shows from 1999 present, has been an exponential growth number CCAS CCMS. In total, 75.2% papers CCAS, 19.6% CCMS 5.2% combined Many ‘Energy’ ‘Agriculture’. Other sectors identified included studies pertinent ‘forestry’, ‘waste management’, ‘industry’ others. Most (80.7%) related ‘Agriculture’, showing important sector where CC-adaptive capacity required all, 45% ‘Social’ adaptation, followed by ‘Structural measures’ (42%), with smallest amount being ‘Institutional’ measures (13%). relatively fewer institutional highlights more research. because which include policies, legal fiscal support build resilience greatest determinant influencing adoption ‘Education’. A higher ‘Agriculture’ both underscores importance develop its adaptive strategies. results findings also compared discussed line similar works Africa.

Язык: Английский

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Exploring non-price factors shaping supply response: insights from Cameroon's banana and pineapple horticultural industries

Frontiers in Environmental Economics, Год журнала: 2024, Номер 3

Опубликована: Июль 2, 2024

Horticulture has the potential to meet development agenda of agrarian economies, like that Cameroon, through cultivation high-value fruits and vegetables. Bananas pineapples are two widely grown in Cameroon for income, employment, foreign earnings. remains an important global player banana trade. To boost production, identifying factors drive supply response such crops is policy question. Here, we ask if non-price determinants horticultural crops, a question received very little attention. The objective this study thus estimate effect on bananas pineapples. do this, Nerlovian function directly estimated via Error correction model using time series data, capture long-run dynamics production supply. results show as rainfall, temperature, land major drivers both crops. effects these factors, however, vary with We provide plausible explanations why salient. Our suggest improving timely availability weather climate information, input subsidies possible areas interventions.

Язык: Английский

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Change in geo-environmental conditions and crop productivity

Advances in food security and sustainability, Год журнала: 2024, Номер unknown, С. 33 - 57

Опубликована: Янв. 1, 2024

Язык: Английский

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Future Impact of Climate Change on Durum Wheat Growth and Productivity in Northern Tunisia

Agronomy, Год журнала: 2024, Номер 14(9), С. 2022 - 2022

Опубликована: Сен. 5, 2024

This study evaluates the projected impact of climate change on wheat production in Northwest Tunisia, specifically at Medjez El Beb (36.67 m, 9.74°) and Slougia (36.66 9.6°), for period 2041–2070. Using CNRM-CM5.1 GFDL-ESM2M models under RCP4.5 RCP8.5 scenarios, coupled with AquaCrop SIMPLE crop growth models, we compared model outputs observed data from 2016 to 2020 assess performance. The objective was determine how different scenarios affect yields, biomass, duration. Under RCP4.5, average yields are 7.709 q/ha 7.703 GFDL-ESM2M. RCP8.5, 7.765 tons/ha 7.198 Crop, indicating that reduced emissions could improve conditions. Biomass predictions showed significant variation: Beb, biomass is 17.99 18.73 Crop RCP8.5. In Slougia, 18.90 19.04 same scenario. Growth duration varied, predicting 175 days 178 while predicted 180 182 a standard deviation ±12 both models. demonstrated higher accuracy cycle yield, particularly mean bias errors −3.6 2.26 q/ha. Conversely, excelled prediction an agreement index 0.97 Slougia. Statistical analysis revealed yield differences based emission showing more favorable These findings emphasize importance selection calibration accurately projecting agricultural impacts change, they provide insights enhancing informing adaptation strategies sustainable Tunisia.

Язык: Английский

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Surface water dynamics of Africa: Analysing continental trends and identifying drivers for major lakes and reservoirs

International Journal of Remote Sensing, Год журнала: 2024, Номер 45(24), С. 9538 - 9568

Опубликована: Окт. 18, 2024

Africa has the most dynamic demographic development worldwide. Current projections predict a population of > 3 billion people by end century. Sub-Saharan alone will likely see 40% increase in between 2020 and 2050. Although it is well known that large parts are constant state water stress, its surface resources remain understudied. This study analyses long-term trends Africa. It identifies causal impacts on major lakes reservoirs for timeframe 2003–2020, as similarities various lakes. For this, set daily time series based Earth observation employed. Global WaterPack data used uninterrupted continent's area. Additionally, an array relevant independent variables, namely precipitation, total evapotranspiration, groundwater, soil moisture, gross primary productivity (GPP) different land use areas analysed. identification, Peter Clark Momentary Conditional Independence algorithm used. Findings show 42% African countries 34% ecoregions experience shrinking Over 80% investigated bodies driven their upstream subbasins GPP agriculturally areas. About 85% significantly agricultural usage, often form abstraction, referenced regional studies confirm. Our analysis demonstrates feasibility conducting dynamics using data. Dynamically similar impacted same drivers, forming lake clusters. Considering causes identified may greatly help adapt strategies sustainable development. A causality to identify drivers has, our knowledge, never been performed before this scale at such high temporal resolution.

Язык: Английский

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Early warning systems and farmers’ adaptation to extreme weather: Empirical evidence from the North China Plain

Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(8)

Опубликована: Ноя. 21, 2024

Язык: Английский

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