Factors influencing climate change adaptation strategies in North-Western Ghana: evidence of farmers in the Black Volta Basin in Upper West region

Uncovering the reasons behind the failure of pastoralists in adopting climate change adaptation strategies

Climate change has caused pastoralists to face serious challenges all around the world. To reduce climate change vulnerability, adaptation strategies need to be adopted by pastoralists. In this regard, the present research was done to seek the reasons for the failure of the northeastern pastoralists of Iran in adopting climate change adaptation strategies. The study is descriptive, which conducted by a field survey. The target population included 249 pastoralists from 7 pastoral units, of whom 148 people were selected as sample size using the stratified random sampling technique. The survey instrument was a researcher-made questionnaire. The content validity and face validity of the questionnaire were checked by the experts. Convergent validity was also confirmed based on the average variance extracted (AVE). Cronbach's α coefficient and composite reliability (CR) were used to evaluate the internal consistency of the questionnaire. The results showed that social and, regulatory and insurance components were the most critical internal and external weaknesses of the pastoralists' failure in adopting climate change adaptation strategies, respectively. Structural equation modeling showed that external weaknesses had positive and significant effects on internal weaknesses of the pastoralists' failure in adopting climate change adaptation strategies.

Determinants of melon farmers' adaptation strategies to climate change hazards in south‒south Nigeria

The constant changes experienced in agricultural activities due to climate change pose a great challenge to melon production. Hence, this research examined the determinants of melon farmers' adaptation strategies to cope with climate change hazards in southern-southern Nigeria. The research ultimately depended on primary data collected by using a set of questionnaires and interviews. The data were obtained from 260 samples retrieved from melon farmers by using multistage sampling techniques. The data were analyzed using the multivariate probit (MVP) model and partial eta squared test. The results of the MVP model showed that age (- 0.009), marital status (0.200), access to information on climate change (0.567) and crop insurance (0.214) were significant at the 0.01 level, while household size (- 0.030) was significant at the 0.05 level and determined the adoption of crop diversification. Educational level (0.012), extension contact (0.138) and access to credit (0.122) were significant at the 0.05 level, while access to information on climate change (0.415) was significant at the 0.01 level and determined the adoption of change in planting dates. Age (- 0.010) and access to information on climate change (0.381) were significant at the 0.01 level, while sex (- 0.139), marital status (0.158) and off-farm income (- 2.3E-7) were significant at the 0.05 level and determined the adoption of mixed farming. Farming experience (0.005) is significant at the 0.05 level, while access to information on climate change (0.529) and crop insurance (0.272) are significant at the 0.01 level and determine the adoption of drought-tolerant crop species. Access to information on climate change (0.536) is significant at the 0.01 level, indicating the adoption of improved crop species. Age (- 0.010), farm size (- 0.085) and crop insurance (0.206) were significant at the 0.05 level, while access to information on climate change (0.353) was significant at the 0.01 level and determined the adoption of off-farm job opportunities. The study recommends the availability and accessibility of credit, climate-smart agricultural practices, and the establishment of public‒private partnerships, among others.

Determinants of climate information service access and use among smallholder farmers in Bereh woreda, Ethiopia

Climate information service (CIS) is a key component of a climate adaptation strategy that is expected to lessen climate risk. Access to and use of CIS among the local community are limited and constrained by various factors and are not supported by empirical research evidence. Therefore, this article analyzed CIS access and use determinants among smallholder farmers in Bereh woreda. The study applied a cross-sectional design with a mixed methodological approach. Data were collected through a survey of 219 smallholder farmer households, three focused-group discussions, and six key informant interviews. The collected survey data were analyzed using the heckprobit model to determine factors influencing smallholder farmers' access to and use of CIS. The heckprobit model results revealed that the determinants of CIS access and use had a statistical significance of log-likelihood of 1% (Wald χ2 = 45.2, p = 0.001), indicating a strong explanatory power. The selection model revealed that age and off-farm income significantly reduced the likelihood of accessing CIS, whereas mobile-phone ownership and male-headed households increased the likelihood of accessing it. Age, female-headed households, and farm size decreased the likelihood of using CIS, whereas mixed farming, radio ownership, and access to herbicide enhanced the likelihood of using it. This study, therefore, recommends intensive awareness creation and improving the delivery of diverse and reliable CIS to enhance agricultural productivity and smallholder farmers' resilience to the impacts of climate change. Integr Environ Assess Manag 2024;20:794-804. © 2023 SETAC.

Managing uphill cultivation under climate change - An assessment of adaptation decisions among tribal farmers in Nagaland state of India

Tribal farmers in the Himalayas are vulnerable to climatic changes, as their rain-fed cultivation systems, practiced on steep, sloping terrain, are susceptible to changes in rainfall while at the same time being the primary means of livelihood. Soil and water conservation practices (SWCP) can improve the resilience of these cultivation systems to adverse climatic conditions. However, little is known about adaptation within these tribal farming communities. This is the first empirical study on the adaptation decisions of tribal farmers in the Himalayan uplands of Northeast India. Starting from the analysis of future climate risks, we surveyed 372 tribal farmers in Nagaland state to analyze perceived climate and environmental changes in relation to socio-demographic factors. We estimate current adoption rates of SWCP together with farmers' goals and values and employ a binary logit model (BLM) to quantify the influence of diverse factors on adaptation decisions. Our results show that increases in temperatures and crop diseases were the most perceived changes by tribal farmers. Climate projections indicate that precipitation amount and intensity, along with temperatures, will increase towards the end of the century, underlining the importance of SWCP. However, all considered SWCP were employed by less than half of the tribal farmers. Adoption probabilities for all practices were significantly increased when farmers participated in agricultural training. After that, participation in a civil society organization, livestock ownership, high-altitude locations, and perceived increases in droughts were found to increase adoption probabilities significantly, while socio-demographic factors were of only minor importance. If the most effective factor was employed to all farmers, average adoption rates of SWCP could at least double. Adoption decisions were mainly motivated by improving livelihoods, sustaining natural resources, reducing workload, and preserving cultural aspects of cultivation. This research contributes to understanding adaptation decisions of tribal farmers and quantifies the untapped potential for climate change adaptation of marginalized and climate-vulnerable farming communities in mountain regions.

Determinants of yam farmers' adaptation practices to climate variability in the Ejura Sekyedumase municipality, Ghana

This study assessed the factors affecting yam farmers' adaptation practices to climate variability in the Ejura Sekyedumase Municipality, Ghana. Primary data was collected through 160 household surveys and 8 key informant interviews. Binary logistic regression was used to assess the factors affecting the yam farmers' choice of adaptation practices. Findings revealed that the yam farmers perceived climate variability through changes in the onset and patterns of rainfall, increasing windstorms, and rising temperatures. The yam farmers perceived the adverse effects of climate variability on their yam production to include a reduction in yam yields (98%), decreased income of farmers (97%), and reduced soil fertility (97%). Findings also showed that the yam farmers utilized key adaptation practices including changing the planting period of yam (88%), planting early-maturing yam seeds/varieties (86%), and intercropping yam with other crops (84%). The key adaptation practices implemented by the farmers were significantly affected by socioeconomic factors including age, years of stay in the community, household size, access to extension services, marital status, education, farming experience, access to climate information, estimated farm size, and estimated farm income (p < 0.05). The empirical findings of this study reinforce the importance of policymakers devising suitable climate variability adaptation policies for yam farmers in Ghana while taking into cognizance the socioeconomic factors that could affect their adoption of such adaptation practices.

Determinants of climate change adaptation strategies in South India: Empirical evidence

The phenomena of climate change pose multifaceted challenges to crop and livestock farming, with severe implications on smallholder farmers' income and livelihoods. Climate change has profound implications (economic, environmental, and social) predominantly on rainfed regions in developing countries like India, where agriculture constitutes the backbone of the economy. In this context, the current study analyzes how farmers perceive climate change in the rainfed ecosystem in India, farmers' adaptation strategies, and their major determinants in addressing climate change. Data were collected from 400 sample farmers in South India. Discriminant and multinomial logit models were employed to identify the adaptation strategies of the farmers. It was evident that the factors such as off-farm income, farm income, and farming experience significantly influenced the adaptation strategies for tackling climate change. Furthermore, access to climate change information and literacy level are vital determinants in different climate change adaptation strategies, including crop diversification, integrated farming system, contingency plans for farm operations, and adoption of soil and water conservation techniques. However, the study highlights the increasing role of institutions (government and private) in future to safeguard the interests of farmers by offering a wide range of policy, research, and technology interventions. In a nutshell, R&amp;D focus on climate-resilient agriculture, application of ICTs in agro-advisory services, and creation off-farm employment opportunities for the farmers is crucial to sustaining their livelihoods as these serve as potential mitigation strategies to impart resilience to climate-sensitive sectors like agriculture in rainfed ecosystems in India or any other countries.