2024 Research | SDG 15 – Life on Land

Research Programs

Integrating Ecopsychology: Path to Climate Change Mitigation

Proponent: Mary Grace O. Gumpal

Abstract

Human activities have significantly impacted Earth’s ecosystems, presenting a complex issue with diverse causes and consequences. At the core of this problem is human behavior. Although there is widespread concern about climate change, attitudes alone are unreliable predictors of future actions due to the influence of various factors. This study aims to bridge the gap between environmental attitudes and behaviors in the community by introducing the principle of ecopsychology, which explores the relationship between humans and nature and investigates why people destroy their habitats. A mixed-method research approach, specifically an explanatory sequential design, is employed to examine the psychological barriers preventing people from translating their pro-environmental attitudes into concrete actions. Barangay leaders of the BIDANI community initially participated in a survey measuring awareness, experiences, environmental attitudes, and self-reported pro-environmental actions. The results indicate that the participants are highly aware of climate change, its effects, and mitigation strategies. However, due to ingrained habits and attitudes, they are not taking the necessary actions and are waiting for others to lead. By addressing these psychological grassroots, we can better mitigate the effects of climate change. The findings provide valuable insights for future efforts to align pro-environmental attitudes with behaviors through planned interventions, ultimately reducing the impact of climate change.

Development of an Automated Solar (Autosolar) Powered Biowaste Processing Machine

Proponents: Michelle Ann M. Calubaquib,Ph.D., Engr. Jolan B. Sy, Engr. Jake D. La Madrid, Engr. Samuel R. Simon, Ambrose Hans G. Aggabao, Ph.D.

Abstract

This research focused on the design, optimization, and integration of a biowaste processing machine, or biodigester, and a 16 kW solar photovoltaic (PV) system to create a sustainable and efficient solution for converting agroforestry waste into compost. The biodigester operates through aerobic decomposition, utilizing a control system that monitors and regulates temperature, humidity, and soil moisture to ensure efficient compost production. This system includes sensors, a microcontroller, and a Human-Machine Interface (HMI) for real-time monitoring and control. The mobile 16 kW solar PV system, comprising 18 high-efficiency monocrystalline panels, converts sunlight into electricity, which is then optimized and stored using a Deye inverter and a high-capacity lithium battery managed by a Battery Management System (BMS) and active balancer. The successful integration of the biodigester and solar PV system resulted in a mobile biowaste processing unit capable of converting agroforestry wastes into organic fertilizers. The system’s mobility, flexibility, and reliance on solar energy ensured efficient and sustainable operation. Key findings included the production of compost with significant nutrient content (1.68% nitrogen, 0.14% phosphorus, 2.16% potassium, pH 7.12) when using a compost activator, maturing in 20 days. Compost without the activator had higher nitrogen and phosphorus but lower potassium content, maturing in 25 days. This study highlights the benefits of integrating renewable energy with biowaste processing technologies,
promoting sustainable agricultural practices and reducing environmental impact.

Floral Phenology of Bee Pasture Plants in The Province of Isabela

Proponent: Eloi Theresa A. Romero, PhD

Abstract

The study aimed in developing floral calendar for potential beekeeping in Isabela Province. Three study sites were selected, San Mariano, Cabagan, and Delfin Albano. The nectar and pollen resource plants were identified and characterized. Based on the result, they were 116 plant species identified as nectar and pollen producing that belong to 38 families of flowering plants. In totality, 60.34% forest trees, 12.07% agricultural crops, 7.76% shrubs and wild plants, and 19.83% weed species which can support bee colonies in the area. Majority were perennial with an average of 95.69%, while annual plants had an average of 4.31% respectively. Plant species found in rainforest was 44.83%, 26.72% in agro-forestry, 18.97% in shrubland/grassland, and 9.48% agricultural land. In terms of blooming period, perennial plants such as trees had a specific blooming month. However, in their non-flowering period, annual plants of agricultural crops, wild plants and weeds can produce nectar and pollen for the whole season. The presence of diversified species of flowering plants from different agroecosystems provide continuous supply of pollen and nectar for the bees and sustain bee colonies in the province. It shows that beekeeping is a potential livelihood in the province.

Knowledge, Attitudes and Practices Towards Water Sanitation and Hygiene among Household Residents in Flash Flood Prone Areas in the City of Cauayan, Province of Isabela, Northern Philippines

Proponents: Paul Angelo A. Tamayo, Marisol S. Foronda, & Lorelei C. Tabago

Abstract

This study explored the knowledge, attitudes, and practices towards Water, Sanitation, and Hygiene (WASH) among households in flash flood-prone areas of Cauayan City, Isabela, Philippines. Given the susceptibility of the area to flash floods, investigating their KAP in WASH is crucial in preventing disease outbreaks. A cross-sectional, non-experimental research design was used, and 100 household members were selected through purposive sampling from selected barangays. A questionnaire adapted from UNICEF was used to obtain information on handwashing, solid waste management, sanitation, and treatment of drinking water. Findings revealed that most households understand key handwashing practices, with 91.59% washing hands before eating. However, knowledge gaps exist regarding hand hygiene before breastfeeding and water treatment. While most respondents use latrines, open defecation persists among children under five. Additionally, waste management practices and reliance on external water sources present concerns, especially during floods. The study underlines the need for the provision of enhanced flood preparedness plans focusing on improving WASH practices and infrastructure, particularly in vulnerable communities. Recommendations include increasing outreach and education efforts and improving sanitation systems to mitigate health risks in flood-prone areas.

Fuzzy Logic Approach in Predicting Egg Production on Laying Hen in an Uncontrolled Temperature

Proponent: Dr. Cherry R. Gumiran

Abstract

The primary factors influencing egg production in hens are age, body weight, feed intake, and feed quality. However, heat stress and disease are significant factors that can negatively impact egg production, leading to economic losses and affecting egg quality, weight, and shell quality. To address these issues, a fuzzy logic model was developed using the Mamdani style, incorporating six input variables: age, body weight, feed intake, feed quality, temperature, and disease. The model aims to predict the egg production rate of individual hens, particularly in uncontrolled temperature environments, and categorizes the output into three levels: low, medium, and high. The model consists of 486 rules that quantify the relationships between the input and output variables. Studies have shown that temperature is the primary factor affecting egg production, particularly in uncontrolled temperatures. When the temperature exceeds the normal range, it can significantly impact the hen’s appetite, leading to a reduction in egg production. However, if the input variables are within the standard ranges, excluding age, the rate can still be high even for young hens (20–30 weeks old).