scholarly journals Assessing Farmers’ Typologies of Perception for Adopting Sustainable Adaptation Strategies in Bangladesh

Climate ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 167
Author(s):  
Abu Reza Md. Towfiqul Islam ◽  
Md. Hasanuzzaman ◽  
Mahmud Jaman ◽  
Edris Alam ◽  
Javed Mallick ◽  
...  
Keyword(s):  
Climate Change ◽  
Perceived Risk ◽  
Crop Production ◽  
Principal Component ◽  
Positive Association ◽  
Adaptation Strategies ◽  
Agricultural Crop ◽  
Significant Positive Association ◽  
Farm Level ◽  
And Cluster Analysis

The implementation of sustainable adaptation strategies (SASs) is crucial to mitigate climate change impact as well as reduce the loss of natural disasters and increase agricultural crop production. However, current policies and programs based on agricultural incentives are mostly inadequate to increase SASs practices at the farm level. Hence, a deeper understanding of farmers’ ‘perceived typologies to the environmental issue and climate change’ is necessary for implementing SASs to enhance farmers’ ability to adapt at the farm level. This research intends to demarcate farmers in various categories, according to their perceptions on environmental and climate change issues in the northern part of Bangladesh. Principal component analysis (PCA) and cluster analysis (CA) were employed to analyze the survey data collected from 501 households in the study area. Farmers were clustered into three types, ‘Ecocentric’, ‘Worried’, and ‘Anthropocentric’, based on their perceived knowledge regarding environmental issues and climate change, which guides the adoption of SASs. The ‘Worried’ cluster showed a high sense of perceived risk of climate change and a significant positive association with the adoption of SASs. By contrast, ‘Ecocentric’ and ‘Anthropocentric’ groups showed a low sense of awareness of climate change and a significant negative association with the adoption of SASs. The findings can assist policymakers in promoting the adoption of SASs based on the farmers’ cluster and thus enhance their resilience.

Determining factors for the application of climate change adaptation strategies among farmers in Magwe District, dry zone region of Myanmar

2017 ◽  
Vol 9 (1) ◽  
pp. 36-55 ◽  
Author(s):  
Aung Tun Oo ◽  
Guido Van Huylenbroeck ◽  
Stijn Speelman
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Crop Production ◽  
Multinomial Logistic Regression ◽  
Farming Systems ◽  
Adaptation Strategies ◽  
Agricultural Crop ◽  
Content Type ◽  
Dry Zone ◽  
Climate Change Adaptation Strategies

Purpose Climate change negatively affects agricultural crop production in the dry zone region of Myanmar. This paper aims to examine climate change adaptation strategies of farmers in the dry zone region. Farmers’ choice for adaptation strategies is influenced by many factors such as the practical availability and by socioeconomic conditions of the farmers. They are moreover influenced by the perception about climate change and by the specific problems prevailing in the farming systems. Design/methodology/approach This research is carried out in Magwe district in the dry zone region of Myanmar using a random selection of 212 farmers from three Townships (Magwe, Yenanchaung and Chauk). A multinomial logistic regression (MLR) was applied to assess the factors affecting the choice by farmers for adaptation strategies. Findings The study found that in the past, farmers used to apply locally available indigenous climate change adaptation strategies. However, recently, most farmers seem to have shifted to introduced adaptation strategies. The most popular adaptation strategy is to adjust the planting dates and sowing method (56.1 per cent). Furthermore, farmers identified a number of barriers that limit the adoption of adaptation methods. Risk is found to be an important driver of crop diversification. Finally, the MLR model showed that information from radio, access to seeds and extension services affect the choice of adaptation strategies. Originality/value The study shows that adoption of locally available indigenous climate change adaptation methods is gradually decreasing, and there is a shift to introduced adaptation strategies. The study can assist public and private organizations to obtain insight in the determinants of climate change adaptation in the dry zone region of Myanmar.

scholarly journals Household Vulnerability to Climate Change and Identification of Target Beneficiaries to Implement Household-Specific Adaptation Strategies: A Quantitative Assessment

2021 ◽  
Author(s):  
Swamikannu Nedumaran ◽  
◽  
Ravi Nandi ◽  
Jyosthnaa Padmanabhan ◽  
Srigiri Srinivasa Reddy ◽  
...  
Keyword(s):  
Climate Change ◽  
Cluster Analysis ◽  
Smallholder Farmers ◽  
Principal Component ◽  
Adaptation Strategies ◽  
Credit Access ◽  
Income Sources ◽  
Vulnerability To Climate Change ◽  
And Cluster Analysis ◽  
Adaptation Practices

This study investigated the climate change vulnerability of 6,214 households in the drought-prone districts of Telangana state in India. Principal component analysis (PCA) and cluster analysis were used to group farm households based on their level of vulnerability to climate change and to suggest a portfolio of adaptation strategies. The PCA revealed the presence of five components from 14 key variables: (1) access to irrigation; (2) credit access, landholding, and income from agriculture; (3) household size and income sources; (4) access to information and climate-smart adaptation practices; and (5) social capital. The first five components (eigenvalue ≥ 1) collectively accounted for 60.42 percent of the total variance. Three clusters emerged after the component scores were analyzed using K-means clustering: extremely vulnerable, moderately vulnerable, and resilient households. The results of the cluster analysis revealed that 79 percent of the households were extremely vulnerable, 11.20 percent were moderately vulnerable, and 9.65 percent were resilient. Moreover, 96 percent of marginal farmers and 94 percent of smallholder farmers were extremely vulnerable, while 19 percent of large farmers and 16 percent of medium farmers were moderately vulnerable. Interestingly, nearly 26 percent in the extremely vulnerable category and 19 percent in the moderately vulnerable category were large farmers, which contradicts previous assumptions. The findings of this study can guide development practitioners, policymakers, and donors in designing evidence-based programs focusing on households vulnerable to climate change.

scholarly journals Climate Change Effects on Crop Production in Kenya: Farmer Perceptions and Adaptation Strategies

2019 ◽  
Vol 19 (01) ◽  
pp. 14010-14042 ◽  
Author(s):  
Beverly Agesa ◽  
◽  
CM Onyango ◽  
VM Kathumo ◽  
RN Onwonga ◽  
...  
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Adaptation Strategies ◽  
Farmer Perceptions ◽  
Climate Change Effects

Future global crop production increases by adapting crop phenology to local climate change

2021 ◽  
Author(s):  
Sara Minoli ◽  
Jonas Jägermeyr ◽  
Senthold Asseng ◽  
Christoph Müller
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Management Practices ◽  
Crop Yields ◽  
Crop Productivity ◽  
Global Scale ◽  
Adaptation Strategies ◽  
Systematic Evaluation ◽  
Management Scenarios ◽  
Crop Phenology

<p>Broad evidence is pointing at possible adverse impacts of climate change on crop yields. Due to scarce information about farming management practices, most global-scale studies, however, do not consider adaptation strategies.</p><p>Here we integrate models of farmers' decision making with crop biophysical modeling at the global scale to investigate how accounting for adaptation of crop phenology affects projections of future crop productivity under climate change. Farmers in each simulation unit are assumed to adapt crop growing periods by continuously selecting sowing dates and cultivars that match climatic conditions best. We compare counterfactual management scenarios, assuming crop calendars and cultivars to be either the same as in the reference climate – as often assumed in previous climate impact assessments – or adapted to future climate.</p><p>Based on crop model simulations, we find that the implementation of adapted growing periods can substantially increase (+15%) total crop production in 2080-2099 (RCP6.0). In general, summer crops are responsive to both sowing and harvest date adjustments, which result in overall longer growing periods and improved yields, compared to production systems without adaptation of growing periods. Winter wheat presents challenges in adapting to a warming climate and requires region-specific adjustments to pre and post winter conditions. We present a systematic evaluation of how local and climate-scenario specific adaptation strategies can enhance global crop productivity on current cropland. Our findings highlight the importance of further research on the readiness of required crop varieties.</p>

Effect of persistent water cover on soil structure, investigated on representative Hungarian soil samples

2020 ◽  
Author(s):  
Viktória Labancz ◽  
András Sebők ◽  
Imre Czinkota ◽  
Tamás Szegi ◽  
András Makó
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Soil Structure ◽  
Aggregate Stability ◽  
Basic Research ◽  
Soil Samples ◽  
Agricultural Crop ◽  
Laser Diffractometry ◽  
Water Cover

<p>Today, due to climate change, soil degradation processes related to extreme water supply situations (flood, inland water or drought) are occurring more and more frequently. Soil structure is one of the most important soil characteristics influencing many transport of materials (transport, storage of heat, gas, water and nutrients).Furthermore, it defines and ultimately determines the significant physical, chemical and biological processes involved and also the most important factor in agricultural crop production. Permanent water cover has a significant effect on soil structure, but the dynamics of disaggregation and the role of the soil factors influencing it is not yet fully understood. Our basic research aim is to investigate the effect of permanent water cover on soil structure on representative Hungarian soil samples. In our experiment, we sought to find the answer to the question of how long-term water coverage causes changes and damage to the soil structure under laboratory conditions by artificial water cover. We measured aggregate stability with Mastersizer 3000 Hydro LV laser diffractometry device and some soil chemistry parameters with Agilent 4210 MP-AES at different water cover times (selected in the literature). Based on experiences the effect of persistent water cover from the soil structure side can be most noticeable in the changes of macro- and microaggregate stability, as well as in the change of certain chemical parameters (e.g. calcium and iron content), thus, the aim of our research was to investigate these characteristics also. After compiling our results in a database, we evaluated and deduced statistical data on the long-term degradation effects of water cover. We also made an attempt to describe its disaggregation dynamics for different Hungarian soil types. Based on the results, we have selected the most sensitive soils for permanent water cover, which are also expected to be sensitive to extreme water management related to climate change.</p>

scholarly journals A Prospective Study of Prenatal Maternal Dietary Patterns and Offspring Adipokine Levels During Adolescence

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 745-745
Author(s):  
Erica Fossee ◽  
Astrid Zamora ◽  
Karen Peterson ◽  
Alejandra Cantoral ◽  
Wei Perng ◽  
...  
Keyword(s):  
Mexico City ◽  
Maternal Diet ◽  
Principal Component ◽  
Positive Association ◽  
First Trimester ◽  
Significant Positive Association ◽  
Diet Patterns ◽  
Funding Sources ◽  
Diet Pattern ◽  
A Prospective Study

Abstract Objectives Maternal diet during pregnancy has been associated with offspring adipokine levels related to insulin resistance and hyperlipidemia during infancy. However, whether this relationship persists into adolescence is unknown. We examined the association between maternal prenatal diet patterns with adolescent leptin and adiponectin levels a Mexico City cohort. Methods Data from 379 mother-adolescent dyads from the Mexico City ELEMENT cohort were analyzed. Diet patterns were derived from principal component analysis of food frequency questionnaire data collected during pregnancy trimesters. Adolescent serum leptin and adiponectin were measured at ages 10–17. Information on maternal covariates was measured during pregnancy. Multiple linear regression was used to examine overall and sex-stratified associations between quartiles of diet patterns with leptin and adiponectin, adjusting for maternal marital status, education, and parity. Results Three maternal diet patterns were identified: Prudent Diet (PD), high in fish and vegetables, the High Meat & Fat Diet (HMFD), high in pork and processed meats, and the Transitioning Diet (TD), high in corn tortillas and sugar beverages. At follow-up, the mean (SD) of leptin and adiponectin were 24.3 (18.2) ng/ml and 11.7 (3.9) ng/ml. A significant positive association was demonstrated between first trimester TD scores and adipokines in girls. In a multivariate-adjusted model, compared to girls in the lowest quartile (Q1) of the TD pattern, the highest quartile of the TD pattern (Q4) had 10.39 ng/mL higher leptin (95% CI: 3.1, 17.6; p for trend = 0.0024). In addition, compared to girls in the lowest quartile (Q1) of the TD pattern, those in the third quartile (Q3) of the TD pattern had 1.86 ng/mL lower adiponectin (95% CI: −3.5, −0.2; p for trend = 0.168). Associations were mostly consistent across all trimesters. Conclusions During pregnancy, a Transitioning Diet pattern was positively associated with leptin and non-monotonically inversely associated with adiponectin in females. Findings suggest maternal diet patterns during pregnancy may influence offspring leptin and adiponectin levels in adolescent girls. Funding Sources Funded by grant P01ES022844.

scholarly journals Climate Change and Rural Female Farmers in Ghana: A Study of the Wenchi Municipality

2021 ◽  
Author(s):  
Lily Yarney ◽  
Emmanuel Kojo Sakyi ◽  
Jonathan Chuks Mba ◽  
Peter K. Achamwie
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Adaptation Strategies ◽  
Crop Failure ◽  
Middle Income ◽  
Middle Income Countries ◽  
Farming Community ◽  
Female Farmers ◽  
Basic Infrastructure

Climate change poses a major threat to development in most low and middle-income countries, especially the sub – Saharan Africa. Wurompo is a small farming community in the Wenchi Municipality of the Brong-Ahafo region of Ghana that depends on rain-fed agriculture activities for livelihood. In recent years, droughts, unpredictable rainfall pattern and crop failure have become common in the area. The study assessed knowledge and awareness, effects of climate change on female farmers, and their adaptation strategies. A case study in design, qualitative methods were used to collect data from 50 purposefully selected participants. Data were analyzed using themes and sub-themes generated from the research questions. Findings showed lack of adequate information and knowledge on climate change and its effects. Climate change has impacted negatively on these farmers stemming from decline in crop production and unavailability of adequate water supply in due season. Challenges to climate change adaptation are poverty, poor basic infrastructure, and modern farming practices. Farmers must be educated on climate change and its effects, with training on the necessary adaptation strategies to build their resilience. Policies that target rural farmers to adapt to climate change, and device modern agricultural techniques and practices are also necessary.

scholarly journals Impact of the Climate Matters Program on Public Understanding of Climate Change

2020 ◽  
Vol 12 (4) ◽  
pp. 863-876
Author(s):  
Teresa A. Myers ◽  
Edward W. Maibach ◽  
Bernadette Woods Placky ◽  
Kimberly L. Henry ◽  
Michael D. Slater ◽  
...  
Keyword(s):  
Climate Change ◽  
Political Ideology ◽  
Positive Association ◽  
The United States ◽  
Climatic Conditions ◽  
Public Understanding ◽  
American People ◽  
Significant Positive Association ◽  
The Impact ◽  
Media Market

AbstractClimate Matters is a localized climate change reporting resources program developed to support television (TV) weathercasters across the United States. Developed as a pilot test in one media market in 2010, it launched nationwide in 2013; in the autumn of 2019 more than 797 weathercasters were participating in the program. In this paper we present evidence of the impact of the Climate Matters program on Americans’ science-based understanding of climate change. We analyzed three sets of data in a multilevel model: 20 nationally representative surveys of American adults conducted biannually since 2010 (n = 23 635), data on when and how frequently Climate Matters stories were aired in each U.S. media market, and data describing the demographic, economic, and climatic conditions in each media market. We hypothesized that 1) reporting about climate change by TV weathercasters will increase science-based public understanding of climate change and 2) this effect will be stronger for people who pay more attention to local weather forecasts. Our results partially support the first hypothesis: controlling for market-level factors (population size, temperature, political ideology, and economic prosperity) and individual-level factors (age, education, income, gender, and political ideology), there is a significant positive association between the amount of Climate Matters reporting and some key indicators of science-based understanding (including that climate change is occurring, is primarily human caused, and causes harm). However, there was no evidence for the second hypothesis. These findings suggest that climate reporting by TV weathercasters, as enabled by the Climate Matters program, may be increasing the climate literacy of the American people.

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