Field Observations Research Articles

Developing a habitat suitability index with field data and hydraulic models

AbstractLinking habitat availability with hydraulic models integrates river engineering in the ecological field. Field observation for species presence and physical habitat availability mapping is inherently limited due to time and access constraints for field data collection. This study leverages hydraulic modeling to supplement larval fish population monitoring data, effectively expanding mapped physical habitat and allowing for monitoring bias analysis. The inundation extents and character of streamflow from hydraulic modeling were used to refine habitat suitability indices relative to total habitat availability from discrete fish monitoring events. Given the flexibility in hydraulic modeling to simulate a range of flows, the habitat suitability index is then translated to an effective habitat curve according to areal inundation and hydrologic frequency. With this framework, forecasting the impacts of long‐term trends, such as geomorphic or hydrologic change, can be reasonably and quantitatively assessed. This manuscript uses a case study of Rio Grande silvery minnow monitoring at restoration sites where the floodplain has been lowered via earthwork. Comparisons are made for habitat suitability indices developed from field observation data alone and field observation supplemented by hydraulic modeling. Known biases of field sampling data (targeting slow, shallow areas where fish are most often found) were confirmed based on simulated hydraulic conditions across entire restoration sites. In the case of Rio Grande silvery minnow, a heavily studied species, such field monitoring biases are an effective use of resources. However, this framework may be helpful for assessing alternative management approaches and monitoring strategies of species that are less studied.

Designing Pocket Park at Dense Building Area with Micro Climate Approach

Pocket parks can create new public spaces without needing large-scale redevelopment, usually smaller than one hectare and created in densely developed urban areas. This research aims to improve the community's standard of living, creating a more comfortable environment for humans and the environment. This research focuses on the design of pocket parks in dense building areas with the concept of microclimate. Data is collected from field observations. The design results are expected to provide an understanding of the role of pocket parks in dense neighborhoods and guide future park planning and management.

Climate vulnerability of agroecological and conventional smallholders in Mvomero district, Tanzania: using mixed-methods to uncover local experiences and motivations of farming for the future

Changing rainfall patterns make farmers increasingly vulnerable to crop failure, income loss and food insecurity. Agroecology is proposed to reduce climate vulnerabilities of farmers, as such practices and social movement aim to create more resilient farm and food systems. It is however fairly unknown if, and to what extent, agroecological farmers are better able to cope with climate induced exposures as compared to conventional smallholders. We conducted 194 surveys with agroecological and conventional smallholders to explore the three components of climate vulnerability: exposure, sensitivity and adaptive capacity. We combined this with field observations and interviews, and an analysis of long-term rainfall data. We also followed up the initial survey analysis with additional focus group discussions. Just as climate change occurs incrementally over time, we highlight modest, yet important differences between conventional and agroecological farmers. We find that agroecological farmers are less vulnerable to short-term dry spells, due to a combination of farming practices that improve soil water retention, like mulching and the use of cover crops. However, the use of botanicals might induce new vulnerabilities, as their processing requires additional labor, and sometimes expenditures, and may not protect the crops from pests and diseases. We also find limitations to agroecology in terms of scale, as most farmers are unable to use botanicals on all their farmland. Yet, agroecological farmers process and apply botanicals for health benefits both in production and consumption of foods, and they can occasionally sell their organic farm products for a higher price than conventional famers. With this study, we emphasize that farmers’ reasons to practice agroecology is not just to boost productivity and become more climate resilient, but rather for improving the long-term health of producers, consumers, soils and the environment.

Vegetation resistance to increasing aridity when crossing thresholds depends on local environmental conditions in global drylands

The crossing of aridity thresholds triggers abrupt changes in multiple functional and structural ecosystem attributes across global drylands. While we understand the consequences associated with aridity thresholds, the key factors influencing dryland vegetation resistance when crossing them remain unclear. Here, we used field observations from 58 dryland sites across five continents and satellite remote sensing data (2000-2022) to show that plant richness, soil moisture dynamics and texture, and bare soil fraction are important variables contributing to vegetation resistance. Additionally, drought history (frequency and magnitude of past droughts) is important in interaction with plant richness and soil texture. Interestingly, plant species richness was negatively related to vegetation resistance, except in areas with higher drought history and in grasslands. Our results highlight that vegetation resistance depends on local environmental conditions. Enhancing our understanding of the factors important for vegetation resistance is an important step towards dryland conservation efforts and sustainable management strategies.

Validation of GPM DPR Rainfall and Drop Size Distributions Using Disdrometer Observations in the Western Mediterranean

Dual-frequency precipitation radar (DPR) on the Core GPM satellite provides spaceborne three-dimensional observations of precipitation fields and surface rainfall rate with quasi-global coverage. The present study evaluates the behavior of liquid precipitation intensity, radar reflectivity factor (ZKu and ZKa) and drop size distribution (DSD) parameters (weighted mean diameter Dm and intercept parameter Nw) of the GPM DPR-derived products, version 07, from 2014 to 2023. Observations from seven Parsivel disdrometers located in different topographic zones in the Western Mediterranean are taken as ground references. Four matching techniques between satellite estimates and ground level observations were tested, and the best results were found for the so-called optimal comparison approach. Overall, GPM DPR products captured the variability of the observed DSD well at different rainfall intensities. However, overestimation of the mean Dm and underestimation of the mean Nw were observed, being much more sensitive to errors in drop diameters larger than 1.5 mm. Moreover, the lowest errors were found for radar reflectivity factor and Dm, and the highest for Nw and rainfall rate. In addition, the GPM DPR convective and stratiform classification was tested, and a substantial overestimation of stratiform cases compared to disdrometer observations were found.

Mapping the distribution of sandflies and sandfly-associated pathogens in China.

Understanding and mapping the distribution of sandflies and sandfly-associated pathogens (SAPs) is crucial for guiding the surveillance and control effort. However, their distribution and the related risk burden in China remain poorly understood. We mapped the distribution of sandflies and SAPs using literature data from 1940 to 2022. We also mapped the human visceral leishmaniasis (VL) cases using surveillance data from 2014 to 2018. The ecological drivers of 12 main sandfly species and VL were identified by applying machine learning, and their distribution and risk were predicted in three time periods (2021-2040, 2041-2060, and 2061-2080) under three scenarios of climate and socioeconomic changes. In the mainland of China, a total of 47 sandfly species have been reported, with the main 12 species classified into three clusters according to their ecological niches. Additionally, 6 SAPs have been identified, which include two protozoa, two bacteria, and two viruses. The incidence risk of different VL subtypes was closely associated with the distribution risk of specific vectors. The model predictions also revealed a substantial underestimation of the current sandfly distribution and VL risk. The predicted areas affected by the 12 major species of sandflies and the high-risk areas for VL were found to be 37.9-1121.0% and 136.6% larger, respectively, than the observed range in the areas. The future global changes were projected to decrease the risk of mountain-type zoonotic VL (MT-ZVL), but anthroponotic VL (AVL) and desert-type zoonotic VL (DT-ZVL) could remain stable or slightly increase. Current field observations underestimate the spatial distributions of main sandfly species and VL in China. More active surveillance and field investigations are needed where high risks are predicted, especially in areas where the future risk of VL is projected to remain high or increase.

Correlation of the Socio-Demographic Variables to Travel Behaviour and Mode Choice in Cities of Least Developed Countries- Case Study, Urban Neighbourhoods in Aden, Yemen

This case study focuses on the city of Aden, Yemen, where a large segment of the population relies on the semi-formal public transportation due to various sociodemographic and economic factors. The study specifically investigates the inner urban area of Al Mansoura in Aden. To understand travel behavior and mode choice in this area, the research employs a mixed methodology that combines qualitative and quantitative approaches through a case study design. Primary data about the area of interest were collected through field observations, interviews, questionnaires, GIS mapping, and street audits. In addition, a novel mapping of the semi-formal transportation lines was produced for the first time in the city. Both quantitative and qualitative data were analyzed using statistical analysis methods. The results indicate a correlation between sociodemographic variables and travel behavior and mode choice, particularly in terms of income and gender. Low-income individuals tend to use public transport, while those with higher incomes prefer private vehicles. Additionally, females generally drive less than males and generally have less mobility due to cultural and educational factors; fewer responsibilities outside the home. However, a small number of females who use private vehicles tend to work.

A realist evaluation protocol: assessing the effectiveness of a rapid response team model for mental state deterioration in acute hospitals

BackgroundMental state deterioration poses significant challenges in healthcare, impacting patients and providers. Symptoms like confusion and agitation can lead to prolonged hospital stays, increased costs, and the use of restrictive interventions. Despite its prevalence, there's a lack of consensus on effective practices for managing mental state deterioration in acute hospital settings. To address this gap, a rapid response team model has been proposed as a potential intervention, aiming to provide early identification and targeted interventions.MethodsBased on realist evaluation steps, first, initial program theories are formulated to understand the logic behind the intervention. Second, literature synthesis identifies empirical evidence on contexts, mechanisms, and outcomes elements, refining initial theories. During the third step, data will be collected using qualitative methods such as field observations and interviews, as well as quantitative methods such as surveys of the staff, audits of electronic medical records, and analysis of incident records of mental state deterioration. Analysing this data informs configurations of contexts, mechanisms, and outcomes. In the fifth step, the configurations are synthesised, presenting refined, evidence-informed program theories.ConclusionThis study addresses the knowledge gap by evaluating the rapid response model's effectiveness in managing mental state deterioration in acute hospital settings. Realist principles guide the exploration of causal mechanisms and their interaction with specific implementation contexts. The objective is to identify what works, for whom, and under what circumstances, aiming to manage deterioration, reduce restrictive interventions, and enhance the experience for patients and staff by implementing a proactive model of care. The findings contribute to evidence-based approaches for managing mental state deterioration in hospital settings, informing policy and practice in this crucial area of healthcare.

Comparing Frequency Ratio and Analytical Hierarchy Models for Landslide Susceptibility in the Dharan Sub-Metropolitan Region of Eastern Nepal

This study compares the application of Frequency Ratio (FR) (statistical/quantitative) and Analytical Hierarchy Process (AHP) (heuristic/semi-quantitative) for landslide susceptibility analysis in Dharan Sub-Metropolitan Region of eastern Nepal. Nine different thematic layers including slope, aspect, curvature, geology, land use, distance to roads, distance to thrusts, topographic position index (TPI), and distance to streams were used for analysis. A landslide inventory map was prepared by identifying the landslides in recent Google Earth images, and it was then verified by field observations. The resulting susceptibility map with different susceptibility levels was validated using the Area Under the Curve (AUC) method, and the resulting AUC values were determined to be 78% for FR and 76.8% for AHP. Both methods offer a reliable strategy for landslide susceptibility mapping with a good prediction rate. The FR model enclosed 41%, 31%, 20%, 7% and 1% of the area as very low, low, moderate, high, and very high susceptibility, respectively, whereas AHP showed 21%, 24%, 27%, 21% and 7% of the area for the respective susceptibility levels. The specific zones identified within the range from very low to very high susceptibility provide valuable insights for local authorities, planners, and decision-makers, allowing them to identify areas susceptible to landslides and implement mitigation measures to aid in targeted risk management efforts.

Assessment of Community Participation in Forest Conservation in Ondo State, Nigeria

This study examines community participation in forest conservation in Ondo State, Nigeria, exploring the socio-economic dynamics and the effectiveness of decentralized forest management. Amidst escalating environmental degradation and forest depletion, this research highlights the critical role local communities’ play in the stewardship of forest reserves. Data were collected through surveys, interviews, and field observations involving 200 households across multiple communities adjacent to forest reserves. The findings reveal a strong community willingness to engage in forest conservation, with a substantial proportion of respondents prepared to accept financial incentives to aid in conservation efforts. The study also uncovers a significant correlation between socioeconomic factors—such as income levels, educational attainment, and proximity to forests—and the willingness to participate in conservation initiatives. Despite the readiness to support forest preservation, the research identifies a glaring lack of awareness and involvement in existing forest conservation programs. It is recommended that enhanced community education on the benefits of forest conservation, the introduction of more robust economic incentives, increased community involvement in conservation decision-making, and the strengthening of legal frameworks to protect forest resources. These steps are essential for sustainable forest management and biodiversity conservation in the area, which could serve as a model for similar regions globally.

Participation of Local Communities in the Management of Post-Mine Areas in Cities

The management of post-mining reservoirs as part of urban blue infrastructure is linked to the implementation of pro-environmental policies at different levels (from local–municipal to European). Local communities, as beneficiaries of measures taken by city authorities, recognise the need for active participation in decision-making processes. They engage in making decisions on blue spaces in urban areas. These include public and natural watercourses and their surroundings, but also water-filled basins of various origins, including post-mining pits. This paper strives to answer how local communities are involved in activities for developing and managing post-mine areas filled with water within city limits. The methods used (including field observation, spatial analyses, and desk research) allowed us to classify post-mining pits according to their functions and the degree of social participation in their development process. The analysed post-mining pits were divided into three groups. The first group consisted of pit reservoirs transformed with the participation of local inhabitants into recreational grounds. The second comprised reservoirs transformed under local zoning plans (with residents consulted) expected to ultimately prop up the city’s green infrastructure. In turn, the third group consists of quasi-natural reservoirs deemed natural enclaves by city residents. The environmental analysis showed that pits were naturalised. One of them was subject to legal protection on account of biodiversity. Post-mine areas in Bydgoszcz play an important environmental role, and some are integral recreational sites, e.g., the Balaton reservoir. They materially affect the inhabitants’ daily contact with nature, which improves life quality.

Effects of tributary inflows on unsteady flow hysteresis and hydrodynamics in the mainstream

ABSTRACT Flooding propagation is a crucial aspect of hydrological monitoring and forecasting. Previous studies have focused on hysteresis in the rating curve, caused by energy loss during flood propagation. However, the impact of tributary inflow on hysteresis downstream remains unclear, leading to inconsistent field observations on whether it strengthens or weakens hysteresis. In this study, we conducted flume experiments to identify the relationship between hysteresis in unsteady flow and the discharge magnitude of the tributary and the unsteady flow period in the mainstream. It was found that the discharge variations in the tributary had a larger influence on hysteresis compared to the periodical variations in the mainstream unsteady flow. Interestingly, the hysteresis of the unsteady flow had an initial strengthening followed by weakening as the tributary discharge increased. When the tributary inflow was low, the widening of the downstream cross-section sharpened the flood wave, increasing the hysteresis. However, as the tributary discharge increased to generate a backwater effect on the mainstream, the pressure gradient flattened flood waves, thereby weakening the hysteresis. This study improves our understanding of how tributary inflow affects flood propagation in the mainstream, offering new insights for flood prediction and control.

Communication Model in Managing Geothermal Power Plant Conflicts on Serang Regency, Indonesia

Aims: The construction of Geothermal Power Plants in several regions in Indonesia is currently always characterized by conflict and opposition from local communities, including in Serang Regency. One of the main issues is the company’s inappropriate communication strategy, resulting in a lack of community acceptance and leading to conflicts. The research focuses on the different stages of conflict, behavior and communication of conflicting parties within managing conflict strategies. Researchers utilize Galtung's conflict model and the convergence-divergence communication theory. Methodology: The research method used is qualitative research through the examination of case studies. This was done because the problems in this research remained unclear, holistic, complex, dynamic and full of meaning. Meanwhile, the data collection techniques used in this research were documentation obtained 73 news published by 35 online media covering statistics on yearly citizen actions and newspaper publications, news topics or discussions, and online news coverage on the construction of the Geothermal Power Plant in Serang regency, Indonesia. Also, with direct field observations and in-depth interviews with several informants at the study location. Results: Based on research findings, the Geothermal Power Plant conflict went through 4 stages, including the initial conflict phase; conflict phase; the trust-building phase leading to conflict resolution; and the conflict resolution phase. Meanwhile, based on Galtung's theory, conflict occurs when there is a discrepancy between the socialization provided by the company and the community’s direct experiences, leading to rejection through various actions. The divergent communication approach utilized by the company towards the affected communities resulted in different interpretations, ultimately causing the root of the conflict. Conclusion: The conflict stages in the Geothermal Power Plant development project in Serang regency are divided into several phases that closely related with communication occurred between company, government and the local communities. Lack of communication formed negative opinions about the project developers, leading them to oppose the construction of the Geothermal project. The convergent communication model combined with other communication models such as open, participatory and supportive communication is considered to be highly effective in addressing conflicts.

Study on the Stability and Reasonable Width of Coal Pillars in “Three Soft” Coal Seams Based on a Physical Similarity Simulation Experiment

As the depth of coal seams increases and the demand for coal grows, the deformation and failure of roadways and coal pillars also intensify. To address the instability of roadways, it is crucial to study the appropriate dimensions for coal pillars. This paper focuses on the 1513 working face of the No. 5 coal seam at Anyang Coal Mine to address the issue of insufficient basis for determining coal pillar width. Through field observations and physical similarity simulations, this study examines the overlying strata failure patterns above coal pillars post-mining and the bearing structure formed by key layers. The relationship between these factors is analyzed using theoretical analysis and physical similarity simulations. A mechanical model of the coal pillar and the “hinged-hinged” overlying strata failure structure is established, analyzing the fracture characteristics of the overlying strata and the bearing structure of the coal pillar to determine the optimal coal pillar width under these conditions. The results indicate that when the coal pillar width is optimized from 25 m to 14 m, the overlying bearing layer is disrupted by the mining activities at the working face, with the lower key layer forming a “hinged” structure upon fracture. As mining progresses, the height of the overlying strata fractures gradually increases, causing the upper key layer to also fracture and form a “hinged-hinged” structure between the high and low bearing layers. According to the “three zones” development law, the height of overlying strata failure does not continue to increase indefinitely, and the coal pillar is affected by the “hinged-hinged” structure of the bearing strata. A mechanical model of the coal pillar bearing structure is established based on the fracture combination structure of the bearing strata. By calculating the load on the “hinged-hinged” structure of the overlying strata, the appropriate coal pillar width is determined to be 15 m. Theoretical calculations, physical similarity simulation experiments, and field applications show that without changing the support conditions, the deformation of the roadway is greater when the coal pillar is narrowed, compared to its original width. The maximum deformation, located 60 m ahead of the working face, increased by 41–42%, while deformation in other areas was relatively minor. This validates the reasonableness of the determined coal pillar width.

Seasonal variations in drag coefficient of salt marsh vegetation

Understanding the seasonal variations of vegetation drag coefficients is crucial for improving wave attenuation predictions and adapting to climate impacts. This study explores the seasonal changes in drag coefficients within salt marsh vegetation, using data from a year-long series of field measurements at the Chongming Dongtan Wetland. It uncovers the complex seasonal variations of drag coefficients. Results demonstrate that incorporating a nonlinear equation for characteristic flow velocity and effective vegetation length significantly improves the precision of drag coefficient predictions, ensuring a closer match with field observations. Furthermore, it introduces a refined drag coefficient formula that incorporates adjustments for vegetation stiffness and relative submergence, offering a more accurate representation of the seasonal variability in drag forces exerted by salt marsh vegetation. This enhanced formula is crucial for accurately assessing vegetation's role in wave attenuation, providing critical insights for the design and implementation of coastal defense and wetland conservation initiatives.

Strategi Inovatif Pemberantasan Hama Jagung Dengan Sistem Fuzzy Dan Iot Untuk Meningkatkan Produktivitas (Studi Kasus Pemberantasan Hama Jagung Di Ponorogo)

Corn pest control is a significant challenge for corn farmers in Indonesia. Pests can cause substantial losses for farmers, especially if left unattended. Therefore, innovative strategies are needed to enhance productivity and reduce farmer losses. This study explores the potential of Internet of Things (IoT) technology in innovative corn pest control strategies. The study aims to investigate how IoT can assist corn farmers in monitoring and controlling pests, thereby enhancing productivity and reducing losses.The study employs a case study approach, focusing on the application of IoT technology in corn pest control. Data collection involves field observations, interviews with farmers, and analysis of existing literature. The findings indicate that IoT technology can significantly improve the accuracy and speed of pest monitoring, enabling farmers to make more informed decisions about pest control.The study concludes that the integration of IoT technology into corn pest control strategies can lead to increased productivity and reduced losses for farmers. The findings of this study contribute to the development of innovative and effective pest control strategies, ultimately benefiting the corn farming industry in Indonesia.

Climate warming impacts on ringed seal breeding habitat in Svalbard

Global warming is occurring at an accelerated rate in the Arctic compared to other parts of the planet with sea-ice declines being among the most striking manifestations of Arctic climate-related changes. Impacts of ongoing Arctic environmental change have been documented for biota throughout marine ecosystems from protists to top predators. Ice-dependent species with specific habitat needs are particularly vulnerable to the ongoing changes. The ringed seal (Pusa hispida) is an ice-associated Arctic endemic species that gives birth and rests in snow caves built in drifts of snow over holes in the sea ice created and maintained by these seals. In this study we create a snow-on-sea-ice reproductive lair habitat model for ringed seals in the Svalbard Archipelago (Norway), a hot-spot of Arctic warming. We use SnowModel, a physics-based snow distribution and evolution simulation system, as the core for a lair habitat model. The model quantifies snow depth and blowing snow fluxes and also relates these variables to snow availability for seal lair habitat. This was accomplished by developing an ecologically informed snow variable that quantifies potential seal lair habitat availability as a function of blowing snow fluxes. Model simulations were performed for the period September 1987 – August 2021 (34 years) on a 500 m × 500 m grid using a daily time-step. Field observations of snow depth and gridded analyses of sea-ice concentration and near-surface (+10 m) atmospheric forcing (air temperature, relative humidity, precipitation, and wind speed and direction) were incorporated within the model simulations. The results show that both snow depth and potential seal lair habitat have been decreasing in Svalbard for the last two decades. If current trends continue, as expected, ringed seal lair habitat will cease to exist across much of the Svalbard Archipelago in the next decade, putting this important Arctic species at risk of regional extirpation.

Foraging for the future: traditional culinary uses of wild plants in the Western Himalayas–Kashmir Valley (India)

BackgroundIn the intricate tapestry of food security, wild food species stand as pillars, nourishing millions in low-income communities, and reflecting the resilience and adaptability of human societies. Their significance extends beyond mere sustenance, intertwining with cultural traditions and local knowledge systems, underscoring the importance of preserving biodiversity and traditional practices for sustainable livelihoods.MethodsThe present study, conducted between February 2022 and August 2023 along the Line of Control in India’s Kashmir Valley, employed a rigorous data collection encompassing semi-structured interviews, focus group discussions, and specific field observations facilitated through a snowball sampling technique.Results and discussionThe comprehensive inventory includes 108 edible plant and fungal species from 48 taxonomic families, with Rosaceae (N = 11) standing out. Young and soft leaves (N = 60) are an important component of various culinary preparations, with vegetables (N = 65) being the main use, followed by fruits (N = 19). This use is seasonal, with collection peaks in March–April and June–August (N = 12). The study also highlights the importance of use value (UV), with Portulaca oleracea standing out as the plant taxon (UV = 0.61), while Asyneuma thomsoni has the lowest use value (UV = 0.15). Many species such as Senecio chrysanthemoides, Asperugo procumbens, Asyneuma thomsoni, and Potentilla nepalensis were classified as new for gastronomic use. Furthermore, the study underlines the great cultural importance of mushrooms such as Morchella esculenta and Geopora arenicola in influencing social hierarchies within the community. However, the transmission of traditional knowledge across generations is declining in the region. At the same time, the conservation of endangered plant species on the IUCN Red List, such as Trillium govanianum, Taxus wallichiana, Saussurea costus, and Podophyllum hexandrum, requires immediate attention.ConclusionConservation measures should be prioritized, and proactive remedial action is needed. Further research into the nutritional value of these edible species could pave the way for their commercial cultivation, which would mean potential economic growth for local communities, make an important contribution to food security in the area under study, and contribute to scientific progress.

Pelatihan Pemasaran Digital Tokopedia Dalam Upaya Peningkatan Penjualan Kelompok Binaan Dinas Perikanan Cilacap

The level of success of collaboration can be achieved when the collaboration involves people with diverse experiences, multi-disciplinary knowledge, different cultures, education and backgrounds. Various parties will present different thoughts and contributions, so that the problem will be handled from various angles in a comprehensive manner. The problem in Cilacap Regency, with the majority of coastal communities working as fishermen and fish processors, is that sales are stagnant because they only rely on traditional marketing, by selling fresh fish at TPI Padanarang or processing fish into crackers, salted fish, handicrafts that are sold directly at around TPI Pandanarang. The aim of this PkM is providing digital marketing training through Tokopedia as an effort to increase sales of groups supported by the Cilacap Fisheries Service. The method chosen was qualitative with the number of respondents being 10 residents representing groups supported by the Cilacap Fisheries Service. The results of the PkM which was at TPI Pandanarang - Teluk Penyu Area, South Cilacap District, Cilacap Regency were the creation of 10 Business Identification Numbers (NIB) and 10 online shop accounts on Tokopedia for 10 people representatives of groups supported by the Cilacap Regency Fisheries Service. Conclusions from field observations, apart from marketing training, it turns out that the community needs a lot of assistance when processing permits such as PIRT, halal certificates, promotional training, packaging design, hygiene and sanitation training, health safety food. The Cilacap District Fisheries Service can collaborate with several companies/agencies to get assistance with equipment grants, training from Corporate Social Responsibility (CSR) funds.

Coffee Processing Business Feasibility In BUMDes Eka Giri Karya Utama Wanagiri Village, Buleleng Regency Bali Province

The potential for good coffee plantation yields needs to be developed and utilized to improve the village economy, which is the basis for establishing BUMDes Eka Giri Karya Utama. The development of this business unit is aimed at supporting an integrated coffee processing industry and being able to produce more efficiently and be able to produce products according to dynamic market demands. The research objectives were to describe governance, to analyze financial feasibility, and to analyze the level of sensitivity of the coffee processing unit in BUMDes Eka Giri Karya Utama. This research was made using descriptive analysis and business feasibility analysis with the investment criteria used being NPV (Net Present Value (NPV), IRR (Internal Rate of Return), Net Benefit-Cost Ratio (Net B/C), Payback Period, and sensitivity analysis. The type of data used is primary data collected by in-depth interviews, field observations, and literature study. There are two variables in this study, namely the benefits and costs variables. The results of the study show that the Village Owned Enterprises in their establishment are managed with the spirit of wanting to improve the village economy, making the village an independent village with all the potential that exists in the village. BUMDes management is carried out in a professional, transparent, participatory, and sustainable manner. sources of funds for this business unit come from the Ministry of Villages, Development of Disadvantaged Regions and Transmigration, and the local village government. Based on the results of the financial analysis, the NPV value was IDR 679,311,964.218, IRR was 31,60%, Net B/C was 2,85 and PP was 4 years 7 months 2 days. Furthermore, the results of the sensitivity analysis with an increase in operational costs by 25.18% obtained an NPV of IDR 434,079,320.45, an IRR of 23.17%, and a net B/C of 2.12. Then for the assumption of a 14.28% decrease in revenue, an NPV of IDR 388,934,679.50, an IRR of 22.02%, and a Net B/C of 2.02 are obtained. This coffee processing business unit is feasible. After all, it can provide benefits for the manager because it meets the investment criteria. Based on the sensitivity analysis, the assumption of a decrease in revenue is more sensitive than an increase in operational costs. In the future, for business development, managers need to innovate so that products become more attractive and have competitiveness as well as invest in human resources and marketing.