Impact of forest landscape restoration in combating soil erosion in the Lake Abaya catchment, Southern Ethiopia.

As an effect of forest degradation, soil erosion is among Ethiopia's most pressing environmental challenges and a major threat to food security where it could potentially compromise the ecosystem functions and services. As the effects of soil erosion intensify, the landscape's capacity to support ecosystem functions and services is compromised. Exploring the ecological implications of soil erosion is crucial. This study investigated the soil loss and land degradation in the Lake Abaya catchment to explore forest landscape restoration (FLR) implementation as a possible countermeasure to the effects. The study used a geographic information system (GIS)-based approach of the Revised Universal Soil Loss Equation (RUSLE) to determine the potential annual soil loss and develop an erosion risk map. Results show that 13% of the catchment, which accounts for approximately 110,000 ha, is under high erosion risk of exceeding the average annual tolerable soil loss of 10 t/ha/year. Allocation of land on steep slopes to crop production is the major reason for the calculated high erosion risk in the catchment. A scenario-based analysis was implemented following the slope-based land-use allocation proposal indicated in the Rural Land Use Proclamation 456/2005 of Ethiopia. The scenario analysis resulted in a reversal erosion effect whereby an estimated 3000 t/ha/year of soil loss in the catchment. Thus, FLR activities hold great potential for minimizing soil loss and contributing to supporting functioning and providing ecosystem services. Tree-based agroforestry systems are among the key FLR measures championed in highly degraded landscapes in Ethiopia. This study helps policymakers and FLR implementors identify erosion risk areas for future FLR activities. Thereby, it contributes to achieving the country's restoration commitment.

Occupational hazards, health costs, and pesticide handling practices among vegetable growers in Pakistan.

Disregarding protective measures when handling pesticides in agricultural production imposes increased health risks and health costs on farmers as well as degrades the natural ecosystem. In Pakistan, where agriculture is the prime occupation in rural communities, there is overwhelming evidence of indiscriminate use of hazardous pesticides by farmers without taking adequate precautions. Using cross-sectional data, we examined personal protection and health costs to vegetable growers due to pesticide exposure and determinants of farmers' pesticide handling practices. The theory of averting behavior was used, and the possible factors affecting farmers' adoption of safety equipment and of disposal methods for pesticide containers were estimated using a logit model. Health effects (P < 0.05) and farmers' protection and health costs (P < 0.01) are found as important determinants of farmers' adoption of safety equipment and of disposal methods for pesticide containers. The mean protection and health cost of pesticide exposure per farmer per vegetable season in 2019 was US $3.60. Analytical outcomes indicate that safe and recommended pesticide handling practices are needed to be introduced through adequate integrated pest management (IPM) training programs and by improving farmers' formal education. Thus, creating awareness through IPM training programs among vegetable growers and enhancing formal education to encourage the adoption of precautionary measures and safe disposal methods for pesticide containers may reduce health risks and health costs. Findings imply that adoption of adequate pesticide handling practices would further help reduce occupational hazards and promote sustainable agriculture in Pakistan.

Effect of drought on smallholder education expenditures in rural Iran: Implications for policy.

Drought is a major global environmental challenge. It affects the livelihoods of many people, mainly in developing countries. Iran is one of the most affected and vulnerable countries in the Middle East to drought. In this paper, we present a microlevel analysis by employing the Tobit multiplicative heteroscedasticity regression to examine the effects of drought on small farm household education expenditures in rural Iran. We collected primary data from a sample of 300 smallholders in Marvdasht County in Fars Province of Iran. The results revealed a negative relationship between the farm income and education expenditures. This means that the farm households in rural Iran that were affected by the drought increased their expenditures on education for their children. The analysis of income elasticity indicated that a one percent decrease in farm income led to a 0.86% increase in education expenditures, which indicated that the education expenditures were necessary. Furthermore, we observed that in drought-affected families, girls were more likely to be pulled out of university education than were boys; however, for school education, there were no significant differences between the boys and girls. Our findings revealed the need to provide improved facilities and further finances for education expenditures, especially for female university students, and to formulate environmental management policies that include the provision of education facilities by the government of Iran in drought-affected villages. Our findings also shed light on the presence of positive externalities and the important role of education in helping rural households better cope with the negative repercussions of drought on their livelihoods.

Adoption of hand tractor technology in terrace farming: Evidence from the Hindu Kush Himalayan (HKH), Pakistan.

Adoption of improved agricultural technologies can help achieve the two Sustainable Development Goals (SDGs) of no poverty and zero hunger by 2030. This study investigates the determinants of farmers' adoption of hand tractors in the HKH region of Pakistan using binary logit model. We also examine what facilitates and what impedes the adoption of hand tractor adoption using key informant interviews. Results show that household head education, farming experience, knowledge of hand tractor use, access to credit, extension contact, and trust in technology positively affect the adoption of hand tractor; however farm size is negatively related. The findings reveal that ethnic conflicts, political conflicts, elite capture in decision making, unavailability of functional community-based entities, weak extension-farmers contact, as well as weak inter- and intra-community linkages are key barriers affecting hand tractor adoption. Similarly, observed changes on neighbors' fields, experiencing hand tractor on trial basis, communication networks, risk observations, and trust propensities motivate hand tractor adoption in the study region. Thus, to effectively disseminate improved agricultural technologies, policymakers should consider these factors.

Constraints to agroforestry diffusion under the Billion Trees Afforestation Project (BTAP), Pakistan: policy recommendations for 10-BTAP.

Effective agroforestry diffusion under the newly started 10-Billion Trees Afforestation Project (10-BTAP) needs a thorough understanding of the policy and implementation shortfalls of the already completed BTAP. This study examines the factors that affected the diffusion of the agroforestry in the Hindu-Kush Himalayan (HKH) region of Pakistan under BTAP. The data were gathered through in-depth interviews with Village Development Committee (VDC) members, Forest Department (FD) officials, and local farmers. Important factors positively affecting agroforestry diffusion included locations of crop fields on the river sides, community dependency on firewood, and market value of agroforestry timber. The logistic regression model shows that household head's age, access to information, and area under cropland positively affected household level adoption of agroforestry under BTAP; forest cover was negatively related. In-depth interviews show that key barriers to FD in diffusion of agroforestry included provision of false information by farmers to monitoring teams, non-availability of extension staff, lack of communication among project staff and community, as well as a lack of sufficient budget for activities. Primary barriers to community adoption of agroforestry included no participation of VDCs in planning and monitoring of agroforestry programs, lack of plant need assessments on the part of the project staff, poor quality of plants distributed by FD, farmers' poor know-how of plantations, lack of trust among community and project staff, as well as the waste of plants by farming community. Thus, this study recommends that policy-makers and project designers should consider these factors when planning agroforestry diffusion under 10-BTAP to improve its success.

The effect of COVID-19 pandemic on market integration: Evidence from vegetable farmers in Pakistan.

The COVID-19 pandemic exposed the agriculture sector and farming communities to unprecedented risks. This study investigates the impact of the pandemic, identifying the suggestions of community elders for effective resilience via in-depth interviews (IDIs) and Focus Group Discussions (FGDs). We also examine determinants of vegetable farmers' inputs and outputs market participation using a binary logit model. The findings reveal poor business owners' support, difficulties accessing inputs and outputs markets, non-availability/shortage of inputs recommended by extension services, and poor access to mechanizations. Labor shortages, lack of access to agricultural credit, and lack of information on innovations and markets are also barriers to market integration of farming communities in Pakistan. Results of the logit model show that farming experience and support from market owners drive the participation of both the inputs and outputs market. Similarly, ownership of personal vehicles and the availability of farm machinery drive the participation of farmers in outputs markets. Various strategies are suggested to mitigate the risks of the Covid-19 pandemic, including the establishment of inputs and outputs markets, strategies for transportation, access to information, and farm machinery at the local level.

Effect of passive solar drying on food security in rural Mozambique.

Achieving food security in Mozambique is critical, since 80% of the population cannot afford an adequate diet. While increasing agricultural production is a necessary effort to address this challenge, inadequate post-harvest treatment leads to storage losses and quality degradation, with repercussions for food security. The use of solar drying is promoted as a solution to provide efficient and reliable access to food preservation that improves the food security situation in rural communities. However, there is a lack of clear evidence on how the use or access to solar drying affects food security. This study identifies the determinants of farmers' choice to use solar drying and evaluates the effect of a passive solar dryer on food security using survey data from 634 households. We allocated solar dryers to selected communities and all interested individuals belonging to these communities were eligible to use it. Propensity score matching and endogenous switching poisson regression are used to estimate the average effect. The use of solar drying with associated training significantly increases the food security status of participants by increasing household food availability, women's dietary diversity, and months of adequate household food provision and by decreasing the household food insecurity access scale.

Role of local communities in forest landscape restoration: Key lessons from the Billion Trees Afforestation Project, Pakistan.

The Billion Trees Afforestation Project (BTAP) was launched in the Khyber Pakhtunkhwa (KP) province of Pakistan to conserve existing forests and to increase the area under forest cover. It also aimed to restore environmental conditions, promote rural livelihoods and reduce poverty. To improve the effectiveness of afforestation projects, it is essential to know the role of various factors and their impacts on community participation in landscape restoration. However, these factors and their impacts remain unexplored for the BTAP. This study identifies the factors that influenced rural household participation in the BTAP in Pakistan. The data were collected from participants and nonparticipants in the BTAP as well as from various officials. We employed both qualitative and quantitative methods to analyze the data. The results of the focus group discussions and the professional evaluation of the BTAP revealed that participant farmers enjoyed all the benefits of the project at the individual and community levels. However, the project provided only partial benefits to nonparticipant farmers at both levels. The household-level results showed that age, income from forest resources, a friendly relationship with forest department staff, a risk-bearing attitude and membership or involvement in village development committee activities had positive and significant effects on farmer participation, while disputes over land and forest resources, household size and experience with/dependence on livestock farming had negative and significant impacts on farmer participation in the BTAP. Our results suggest that policymakers and project designers should pay more attention to the factors that hindered farmer participation in the BTAP. The participation of landless and disadvantaged groups in the 10-BTAP should be increased to ensure equal and widespread benefits for all users and to ensure a win-win situation of sustainable management of the forest, the environment and livelihood opportunities for all types of forest users.

Correction to: Economic efficiency of rainfed wheat farmers under changing climate: evidence from Pakistan.

The correct Eq. 4 is presented in this paper.

Economic efficiency of rainfed wheat farmers under changing climate: evidence from Pakistan.

Rainfed wheat farming directly depends upon climatic indicators and is mostly at the mercy of climatic extremes. This study analyzed the relationship between the economic efficiency of rainfed wheat farmers and indicators of climate variability in Pakistan employing a two-stage methodological framework. We used farm household level crop input-output and management data and secondary data on climate. In the first stage, a stochastic production frontier (SPF) approach was used to calculate economic efficiency. Then, in the second stage, the calculated economic efficiency scores were regressed against the temperature threshold, temperature anomaly, and total rainfall, in addition to socioeconomic, institutional, and farm variables, using OLS and quantile regression models. The results showed that temperature anomaly and the number of days when temperatures exceed 30 °C have negative and significant impacts on the economic efficiency of rainfed wheat farmers. Total rainfall showed positive and significant impacts across both OLS and quantile regression models. Further, we modeled a novel and very important variable in the context of rainfed wheat production in Pakistan, that is, farmers' participation in trainings in climate-resilient crop farming. This variable showed a positive and highly significant impact on economic efficiency of wheat farmers across all regression models. Our findings call for important policy implications, including developing up-to-date climate resilient adaptation strategies that are particularly focused on rainfed wheat farming. Establishing strong linkages between extension departments and rainfed wheat farmers could help sustain and improve the efficiency of rainfed wheat farmers and hence food and livelihood security.

Wheat yield response to input and socioeconomic factors under changing climate: Evidence from rainfed environments of Pakistan.

More than three-quarters of the world's total cultivated land is under rainfed farming, producing almost 70% of total food. Most food production comes from developing and least favored nations. Pakistan, a developing country with an agro-based economy, is facing severe threats from climate change. Rainfed agriculture, especially wheat farming, is highly susceptible due to its heavy dependency on precipitation, one of the most important climatic parameters. Wheat is the main food crop, as well as a major source of calorific intake, for millions of people in Pakistan. This study aims to quantify the impacts of climate variability on mean yield levels and yield variability of wheat crop in the rainfed zone of Pakistan. Multistage random sampling technique is used for primary data collection from 400 rainfed wheat farmers during the 2016-17 crop season. The study uses primary data on crop input-output, management, socioeconomic, institutional, and historical climatic data (1980-2017). The data are analyzed employing the Just and Pope (J-P) stochastic production function approach with linear and non-linear functional forms. The results reveal that temperature rise negatively affects observed wheat mean yields, while cumulative precipitation positively affected it. Further, input market access, seed rate, and cumulative precipitation also cause variability in yield levels, leading to yield instability. Further, farm elevation influences wheat mean yield positively while input market access influences it negatively. The findings of the study have important implications for climate resilient wheat farming. Timely and tailor-made adaptations need to be undertaken in the rainfed wheat farming systems of Pakistan. Creating awareness among farmers about the optimal use of agronomic inputs under changing climatic conditions could be an effective adaptation strategy that improves yields and copes with yield instability.

Sustainable survival under climatic extremes: linking flood risk mitigation and coping with flood damages in rural Pakistan.

Various measures are adopted by flood-prone households for the mitigation of flood risk along with various post-flood coping strategies. We analyze the role of various ex ante household-level flood mitigation strategies in influencing riverine flood damages. The study also presents an account on the linkages of various ex post coping strategies and flood damages experienced in a flood event in Pakistan. For achieving a uniform flood damage indicator, polychoric principle component analysis (PCA) is employed to construct a composite flood damage index considering various aspects of economic, social, and psychological impacts of a flood event. The adjusted flood damage index is regressed on various socioeconomic features and ex ante mitigation actions to know their effect on the former. Results indicate that distance from river, elevating house, and pre-shifting investigating about flooding problem help in significantly reducing the overall flood damages. Likewise, group-based actions like voting political candidates based on their flood-control promises, organizing grass-root group meetings, and raising voices through memos/petitions are found to significantly reduce flood-related damages while leaving house premises before flooding is found to increase the overall flood damage. Post-flood coping strategies comprise of social and financial support along with some livelihood diversification and disinvestment strategies such as selling livestock, jewelry, and withdrawing children from schools. Borrowing money, reducing food consumption, and agricultural diversification are more prevalent strategies among low and medium damage groups while consuming savings is more conspicuous among high damage group. The study concludes with the emphasis on policy interventions for effective early warning, location-specific flood intensity information, and proper streamlining of planning process and compensation system.

How hard they hit? Perception, adaptation and public health implications of heat waves in urban and peri-urban Pakistan.

Heat waves threaten human health given the fast changing climatic scenarios in the recent past. Adaptation to heat waves would take place when people perceive their impacts based on their knowledge. The present study examines perception level and its determinants resulting in adaptation to heat waves in Pakistan. The study used cross-sectional data from urban and peri-urban respondents of Faisalabad District. The study employs a health belief model to assess risk perception among the respondents. Logistic model is used to determine factors affecting level of knowledge, perception and adaptation to heat waves. Around 30% of peri-urban respondents have a low level of knowledge about the fatal impacts of heat waves. Risk perception of heat waves is very low among urban (57%) and peri-urban (66%) respondents. Households' knowledge on heat waves is significantly related to age, gender, education, wealth and access to health services. Determinants of perception include knowledge of heat waves, age and joint effect of marital status and knowledge while income level, family size, urban/peri-urban background, perceived barriers, perceived benefits and cues to action significantly affect adaptation to heat waves. To reduce deadly health impacts, mass awareness campaigns are needed to build perception and improve adaptation to heat waves.