ORCID Profile
0000-0003-3567-2854
Current Organisation
Patuakhali Science and Technology University
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Publisher: Springer Science and Business Media LLC
Date: 07-09-2022
DOI: 10.1007/S11027-022-10023-8
Abstract: Climate change poses a threat to crop production and livelihoods of rural farming communities in Kenya, a majority of whom are mainly dependent on rain-fed agriculture. The purpose of this study was to examine farm-level adaptation responses towards climate change and their influencing factors, using a case study of western Kenya. Structured questionnaire was administered to 210 farmers in selected locations in the region where households farm maize as the main crop. Logistic and multiple linear regression models were used to ascertain the factors that influence farmers’ adaptation practices. The results indicate that farmers perceived climate change as being responsible for the reduction in crop yield and production, crop failure and increase of fallow farms. The major adaptation strategies undertaken by the farmers included change in planting dates by either planting early or late during a season, ersification of crops, growing early maturing cultivars, use of drought-tolerant varieties and timely planting. The key determinants of adaptation strategies by the farmers included farm size, income and extension training. Understanding farmers’ responses to climate change in rain-fed crop production systems could assist in planning adaptation strategies towards sustainable crop production.
Publisher: Informa UK Limited
Date: 04-02-2021
Publisher: Elsevier
Date: 2021
Publisher: Elsevier BV
Date: 11-2021
Publisher: Springer Science and Business Media LLC
Date: 08-02-2020
Publisher: Elsevier BV
Date: 2020
Publisher: Springer Science and Business Media LLC
Date: 06-09-2022
DOI: 10.1007/S10113-022-01962-8
Abstract: Changes in farming systems are dominated by changes in global climate and local environment, apart from the non-climatic drivers. Given the challenges in partitioning the contribution of climatic and non-climatic factors to the changes in farming systems, this paper aims to assess the types and changes of coastal farming systems, the farmer perceptions of the causes of the changes in farming systems, and the relationship between the influencing factors and perceptions. A structured interview schedule was used to collect data from 381 randomly selected coastal households during September–October 2018. The random forest classification model was applied to estimate the relative importance of the farmers’ characteristics on their perception of causes of changes in farming systems. This study reveals that the coastal farmers had mostly semi-subsistence type of mixed farming systems, which were going through dynamic changes in terms of their sizes and number of farmers. In general, the participation in rice, vegetables, and livestock farming was decreasing but increasing in fisheries, forestry, and fruit farming. Most (95.5%) of the farmers had to change at least one of the farming enterprises over the past decade (2009–2018) compared with the previous decade (1999–2008). About two-thirds of the farmers perceived that climate change had caused changes in their farming systems. Compared with the eastern coasts, the farmers in the western coasts tended to blame climate change to a higher extent for the effect on their agricultural activities. The random forest model outputs imply that the farmers who are younger in age and with less formal education, larger family, and smaller farmland should be supported with scientific knowledge on causes of changes in farming systems. This could help them more aware of climate change issues related to agriculture and increase their enthusiasm to take part in adaptive changes in farming systems.
Publisher: Elsevier BV
Date: 2021
Publisher: SAGE Publications
Date: 28-08-2023
Publisher: Elsevier BV
Date: 05-2019
DOI: 10.1016/J.JENVMAN.2019.02.028
Abstract: How farmers perceive climate change has an influence on how they adapt to climate change. Climate change perception and vulnerability were assessed based on the household survey information collected from randomly selected 118 farmers of Kalapara subdistrict in Bangladesh. This paper identified the socio-economic covariates of climate change perception and vulnerability in relation to agricultural adaptation. It was also determined whether their perception was consistent with meteorological information. Findings revealed that the farmers had a moderate level of perception of and vulnerability to climate change. An overwhelming majority (98%) of the respondents perceived a warmer summer and 96% of them observed a colder winter compared to the past. Among the farmers, 91% believed that rainfall had increased and 97% thought that the timing of rainfall had changed. The belief of increase in soil salinity and associated loss was prevailing among 98 and 99% of them, respectively. Observed climate data were mostly aligned with the farmers' perception with respect to temperature, rainfall, floods, droughts and salinity. Positive correlations were found among the perception of climate change, the perception of vulnerability and the number of adopted adaptation practices. Farmers' level of understanding of climate change, vulnerability and adaptation practices could be improved by involving them in different organizations, such as climate field school and farmer associations. It could accelerate the dissemination of agricultural adaptation practices among them to cope with adverse agricultural impacts of climate change.
Publisher: Springer Science and Business Media LLC
Date: 06-2020
Publisher: Elsevier BV
Date: 02-2020
DOI: 10.1016/J.SCITOTENV.2019.135384
Abstract: This study compares the scientifically observed spatiotemporal climate variability with farmer perceptions. A survey of 381 farmers and ten focus group discussions (FGDs) were used to collect data from ten coastal subdistricts. We hypothesized that any gap between farmer perceptions and meteorological data could be due to variations in their in idual characteristics. An unsupervised clustering algorithm was used to categorise the farmers into good and poor perception clusters to test the hypothesis. The climatic data showed a low (0.45 °C) spatial difference of the mean temperature (1988-2017) among the visited locations. Annual rainfall variations between the western and eastern coastal areas could be more than 100 cm, making the eastern coasts wetter. The FGD outputs were mostly cognate with meteorological data that the recent (2013-2017) average temperature was higher (except early winter) and, in general, rainfall was lower than that of 1998-2002. Compared to the meteorological data, greater imperfect perceptions of farmers were observed in case of rainfall and winter temperature. This resulted in a gap between the meteorological data and farmer perceptions at the household level. Among the s led farmers, only 30% had meteorologically consistent perceptions of average-, summer- and winter-temperature, and rainfall. The cluster analysis has ided the farmers into good perception (41.2%) and poor perception (58.8%) clusters. Greater proportions of the western coastal farmers were clustered in the good perception group than that of the eastern parts. A higher accuracy of the perceptions was found among the better-off farmers who were characterized by younger age, better education, smaller family size, richer economic status, larger farm size, more affiliation with non-farm jobs, users of more communication media, closer to the marketplaces and more distant from the sea. The worse-off households, in particular, require policy and extension support to update their understanding of climate change to facilitate adaptation strategies.
Publisher: Springer Science and Business Media LLC
Date: 06-04-2020
Publisher: MDPI AG
Date: 30-03-2020
Abstract: How the current distribution of tea cultivation is influenced by specific environmental conditions in Sri Lanka is yet to be explored. Therefore, this study aims to assess the differences between tea and non-tea growing areas with respect to climatic and topographic covariates, and to determine the major covariates that control tea distributions. Climatic data of temperature and rainfall were extracted from WorldClim-Global Climate Data the elevation, slopes, and aspects were obtained from Global Multi-resolution Terrain Elevation Data and the solar radiation data was computed using a clear-sky solar radiation model. Random points were created on rasterised environmental layers for tea-growing and non-tea growing areas, stratified into low, mid, and high regions, using ArcGIS version 10.4.1 (Environmental Systems Research Institute: ESRI Redlands, CA, USA).Correlations were derived between covariates and tea and non-tea growing areas. According to the logistic regression analysis, there was no significant influence of the south-west, west, and north-west aspect compared to the north aspect when all other covariates were held constant. The odds ratio indicated that an area with a one-unit higher solar radiation was 1.453 times more likely to be a tea growing area. Similarly, a per unit increase in slope increases the likelihood of an area being suitable for tea cultivation by 1.039 times. When the annual mean temperature increased, the suitability of tea cultivation decreased, but an increased rainfall had increased the suitability of an area for tea cultivation. Areas with a north facing slope had the highest suitability for tea cultivation. This research demonstrated that tea growing could be expanded into a variety of locations as long as these variables are either found or managed in order to obtain the critical levels. In addition, it is proposed that the results of this study could be utilised in the assessment of the climate or/and land suitability for tea.
Publisher: Springer Science and Business Media LLC
Date: 16-07-2018
Publisher: MDPI AG
Date: 16-12-2019
DOI: 10.3390/SU11247200
Abstract: Climatic and non-climatic stressors, such as temperature increases, rainfall fluctuations, population growth and migration, pollution, land-use changes and inadequate gender-specific strategies, are major challenges to coastal agricultural sustainability. In this paper, we discuss all pertinent issues related to the sustainability of coastal agriculture under climate change. It is evident that some climate-change-related impacts (e.g., temperature and rainfall) on agriculture are similarly applicable to both coastal and non-coastal settings, but there are other factors (e.g., inundation, seawater intrusion, soil salinity and tropical cyclones) that particularly impact coastal agricultural sustainability. Coastal agriculture is characterised by low-lying and saline-prone soils where spatial competition with urban growth is an ever-increasing problem. We highlight how coastal agricultural viability could be sustained through blending farmer perceptions, adaptation options, gender-specific participation and integrated coastal resource management into policy ratification. This paper provides important aspects of the coastal agricultural sustainability, and it can be an inspiration for further research and coastal agrarian planning.
No related grants have been discovered for Md Kamrul Hasan.