scholarly journals Climate Change Impacts And Adaptation Barriers Among Smallholder Cassava Farmer

Author(s):  
Ayansina AYANLADE ◽  
Isaac Ayo OLUWATIMILEHIN

Abstract Climate variability/change has varied impacts on crop yields in many Sub-Saharan African countries. Enhancing the adaptive capacity of rural farmers is a major challenge as climate change becomes threatened to agricultural activities in the region. In this study, the impacts of climate change on cassava crops were examined, and farmers’ perceptions of climate, change and their experienced adaptation methods were assessed. Historical climate data and social datasets were used; the adaptation option and barriers to the use of adaptation methods were obtained through questionnaires, semistructured interviews and focus group discussions. Correlation statistics and multiple regressions were utilized to show the impacts of climate on the yield of cassava. The results showed a high variation in climatic variables together with an obvious anomaly index with severity. Minimum and maximum temperatures correlated strongly and positively with the yield of cassava, with 0.86, 0.82 and 0.87, respectively, which were significant at p>0.05. The results of multiple regression showed that climate parameters accounted for 75% of the changes in yield. The results also showed a very strong relationship between crops and rainfall in the early growing season at the p<0.05 level of significance. The majority of the farmers perceived that lack of capital and financial, physical and human capital accounted for 70% of barriers to the implementation of climate change adaptation methods. The key findings here are that the cropping system has been impacted by climate change and that the adaptive capacity of rural farmers in the study area is generally low. The study concludes that although climate change is obvious, there is generally a need to enhance the adaptation options available to farmers in the region.

2019 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Camille Leclerc ◽  
Franck Courchamp ◽  
Céline Bellard

Abstract Despite their high vulnerability, insular ecosystems have been largely ignored in climate change assessments, and when they are investigated, studies tend to focus on exposure to threats instead of vulnerability. The present study examines climate change vulnerability of islands, focusing on endemic mammals and by 2050 (RCPs 6.0 and 8.5), using trait-based and quantitative-vulnerability frameworks that take into account exposure, sensitivity, and adaptive capacity. Our results suggest that all islands and archipelagos show a certain level of vulnerability to future climate change, that is typically more important in Pacific Ocean ones. Among the drivers of vulnerability to climate change, exposure was rarely the main one and did not explain the pattern of vulnerability. In addition, endemic mammals with long generation lengths and high dietary specializations are predicted to be the most vulnerable to climate change. Our findings highlight the importance of exploring islands vulnerability to identify the highest climate change impacts and to avoid the extinction of unique biodiversity.


Author(s):  
Ivo Machar ◽  
Marián Halás ◽  
Zdeněk Opršal

Regional climate changes impacts induce vegetation zones shift to higher altitudes in temperate landscape. This paper deals with applying of regional biogeography model of climate conditions for vegetation zones in Czechia to doctoral programme Regional Geography in Palacky University Olomouc. The model is based on general knowledge of landscape vegetation zonation. Climate data for model come from predicted validated climate database under RCP8.5 scenario since 2100. Ecological data are included in the Biogeography Register database (geobiocoenological data related to landscape for cadastral areas of the Czech Republic). Mathematical principles of modelling are based on set of software solutions with GIS. Students use the model in the frame of the course “Special Approaches to Landscape Research” not only for regional scenarios climate change impacts in landscape scale, but also for assessment of climate conditions for growing capability of agricultural crops or forest trees under climate change on regional level.


2021 ◽  
Vol 310 ◽  
pp. 108649
Author(s):  
Yong Chen ◽  
Gary W. Marek ◽  
Thomas H. Marek ◽  
Dana O. Porter ◽  
David K. Brauer ◽  
...  

2021 ◽  
Author(s):  
Gaby S. Langendijk ◽  
Diana Rechid ◽  
Daniela Jacob

&lt;p&gt;Urban areas are prone to climate change impacts. A transition towards sustainable and climate-resilient urban areas is relying heavily on useful, evidence-based climate information on urban scales. However, current climate data and information produced by urban or climate models are either not scale compliant for cities, or do not cover essential parameters and/or urban-rural interactions under climate change conditions. Furthermore, although e.g. the urban heat island may be better understood, other phenomena, such as moisture change, are little researched. Our research shows the potential of regional climate models, within the EURO-CORDEX framework, to provide climate projections and information on urban scales for 11km and 3km grid size. The city of Berlin is taken as a case-study. The results on the 11km spatial scale show that the regional climate models simulate a distinct difference between Berlin and its surroundings for temperature and humidity related variables. There is an increase in urban dry island conditions in Berlin towards the end of the 21st century. To gain a more detailed understanding of climate change impacts, extreme weather conditions were investigated under a 2&amp;#176;C global warming and further downscaled to the 3km scale. This enables the exploration of differences of the meteorological processes between the 11km and 3km scales, and the implications for urban areas and its surroundings. The overall study shows the potential of regional climate models to provide climate change information on urban scales.&lt;/p&gt;


Author(s):  
S. Momtaz ◽  
M. Asaduzzaman ◽  
Z. Kabir

Abstract The purpose of this chapter is to understand the vulnerability of women's livelihoods to climate change impacts in Bangladesh. Data were collected through a survey of 150 randomly selected women from a sample of households. Focus group discussions, key informant interviews, participant observations, and a transect walk, provided supporting information to substantiate the household surveys. The chapter first outlines the theoretical foundation on which the research is based. This is followed by examining women's vulnerability in the study area. The chapter then describes women's coping strategies in the face of climate change-induced disasters. The chapter further explores women's adaptive capacity through the examination of their access to various services. It ends with a set of recommendations for policy makers in order to improve the situation of women's vulnerability.


2020 ◽  
Vol 163 (3) ◽  
pp. 1329-1351 ◽  
Author(s):  
Anne Gädeke ◽  
Valentina Krysanova ◽  
Aashutosh Aryal ◽  
Jinfeng Chang ◽  
Manolis Grillakis ◽  
...  

AbstractGlobal Water Models (GWMs), which include Global Hydrological, Land Surface, and Dynamic Global Vegetation Models, present valuable tools for quantifying climate change impacts on hydrological processes in the data scarce high latitudes. Here we performed a systematic model performance evaluation in six major Pan-Arctic watersheds for different hydrological indicators (monthly and seasonal discharge, extremes, trends (or lack of), and snow water equivalent (SWE)) via a novel Aggregated Performance Index (API) that is based on commonly used statistical evaluation metrics. The machine learning Boruta feature selection algorithm was used to evaluate the explanatory power of the API attributes. Our results show that the majority of the nine GWMs included in the study exhibit considerable difficulties in realistically representing Pan-Arctic hydrological processes. Average APIdischarge (monthly and seasonal discharge) over nine GWMs is > 50% only in the Kolyma basin (55%), as low as 30% in the Yukon basin and averaged over all watersheds APIdischarge is 43%. WATERGAP2 and MATSIRO present the highest (APIdischarge > 55%) while ORCHIDEE and JULES-W1 the lowest (APIdischarge ≤ 25%) performing GWMs over all watersheds. For the high and low flows, average APIextreme is 35% and 26%, respectively, and over six GWMs APISWE is 57%. The Boruta algorithm suggests that using different observation-based climate data sets does not influence the total score of the APIs in all watersheds. Ultimately, only satisfactory to good performing GWMs that effectively represent cold-region hydrological processes (including snow-related processes, permafrost) should be included in multi-model climate change impact assessments in Pan-Arctic watersheds.


2015 ◽  
Vol 16 (7) ◽  
pp. 1891-1904 ◽  
Author(s):  
Christos Giannakopoulos ◽  
Basilis Psiloglou ◽  
Giannis Lemesios ◽  
Dimitris Xevgenos ◽  
Christina Papadaskalopoulou ◽  
...  

2015 ◽  
Vol 55 (4) ◽  
pp. 397-407 ◽  
Author(s):  
RAFAEL MAGNUS BARBOSA MOSER ◽  
LAURO GONZALEZ

ABSTRACTThis paper reports an empirical case study on the interface between microfinance and climate change actions. Climate change, which until recently seemed a luxury for the microfinance sector, now appears to be crucial for its future. For their low adaptive capacity, the millions of microfinance clients worldwide happen to be the most vulnerable to a changing climate. However, such an arena is still blurred from an academic viewpoint, and inexistent among Brazilian academia. Therefore, by investigating Brazil’s largest rural MFI, Agroamigo, we aim at providing an empirical contribution to green microfinance. The main conclusion is that, albeit Agroamigo offers important links to climate change initiatives, it will need to take better account of specific vulnerabilities and risks to protect its portfolio and clients better from climate change impacts.


Sign in / Sign up

Export Citation Format

Share Document