Priority Locations Research Articles

ANALISIS PENGENDALIAN PEMANFAATAN AIR TANAH DI KOTA SORONG

In the 2015-2019 National Medium-Term Development Plan (RPJMN), one of the priority locations for the development of an independent and integrated new public city in the Papua Island region is Kota Baru Sorong. In supporting the infrastructure facilities of the new city of Sorong for clean water, in an effort to find clean water, groundwater emerges as a prima donna, becomes our main choice in meeting water needs, of all the advantages possessed by groundwater there are things that we must pay attention to, one of them is only groundwater should be the last option in meeting our water needs after surface water and rainwater. By formulating the groundwater problem, two essential problems arise, namely the existing condition of groundwater use and the role of the government in controlling its use, with the method of collecting observational data and interviews combined with existing secondary data. the role of the government through concepts, actors and mechanisms for controlling groundwater use in the city of Sorong

Sistem Pendukung Keputusan Pengembangan Ekowisata Mangrove Potensial Menggunakan Simple Additive Weighting (SAW)

Adjusting resource availability and traveler preferences will allow for an objective assessment of prospective mangrove ecotourism growth. In order to build mangrove ecotourism destinations effectively, it is vital to identify their priority locations. It is required to create the development program as a criterion and the development zone as a prioritized alternative in light of this. This study used the Simple Additive Weighting (SAW) technique, which includes the following stages: deciding on criteria and alternatives; weighing the relative importance of each criterion; creating a matrix of findings; and ranking the alternatives based on the biggest value. The study's findings indicate that five criteria can be categorized based on benefit and cost with varying relative values: attraction (benefit), ancillary (benefit), accommodation (cost), accessibility (cost), and amenities (cost). Attraction has a relative value of 0.3, ancillary has a relative value of 0.2, and amenities (cost) has a relative value of 0.15. The ranking results showed that the amenity criteria came first, followed by accessibility, then attractions, lodging, and ancillary. Attractions were ranked third, while accommodations came in fourth. This demonstrates the necessity for amenities that pique tourist interest and accessibility through accessible modes of transportation, informational resources, and roads to tourist destinations to support the growth of mangrove ecotourism special interest tourism. The management of mangrove ecotourism destinations can be improved by offering lodging options. Following amenities, accessibility, attractions, and lodging, organizations or groups can be established, and infrastructure in tourist sites can be enhanced. As a result, the SAW approach can be used as a system to help decide which initiatives to prioritize

An economic evaluation of Wolbachia deployments for dengue control in Vietnam.

Dengue is a major public health challenge and a growing problem due to climate change. The release of Aedes aegypti mosquitoes infected with the intracellular bacterium Wolbachia is a novel form of vector control against dengue. However, there remains a need to evaluate the benefits of such an intervention at a large scale. In this paper, we evaluate the potential economic impact and cost-effectiveness of scaled Wolbachia deployments as a form of dengue control in Vietnam-targeted at the highest burden urban areas. Ten settings within Vietnam were identified as priority locations for potential future Wolbachia deployments (using a population replacement strategy). The effectiveness of Wolbachia deployments in reducing the incidence of symptomatic dengue cases was assumed to be 75%. We assumed that the intervention would maintain this effectiveness for at least 20 years (but tested this assumption in the sensitivity analysis). A cost-utility analysis and cost-benefit analysis were conducted. From the health sector perspective, the Wolbachia intervention was projected to cost US$420 per disability-adjusted life year (DALY) averted. From the societal perspective, the overall cost-effectiveness ratio was negative, i.e. the economic benefits outweighed the costs. These results are contingent on the long-term effectiveness of Wolbachia releases being sustained for 20 years. However, the intervention was still classed as cost-effective across the majority of the settings when assuming only 10 years of benefits. Overall, we found that targeting high burden cities with Wolbachia deployments would be a cost-effective intervention in Vietnam and generate notable broader benefits besides health gains.

Supporting the planning of urban blue-green infrastructure for biodiversity: A multi-scale prioritisation framework

Primary considerations for urban blue-green infrastructure (BGI) encompass sustainable stormwater/urban heat management while biodiversity conservation is often considered an inherent benefit rather than a core planning requirement. However, ecological function of BGI as ‘stepping stones’ or linear corridors for otherwise fragmented habitats is undisputed. While quantitative approaches for modelling ecological connectivity in conservation planning are well established, mismatches in scope and scale with models that support the planning of BGI makes their adoption and integration difficult across disciplines. Technical complexities have led to ambiguity around circuit and network-based approaches, focal node placement, spatial extents, and resolution. Furthermore, these approaches are often computationally intensive, and considerable gaps remain in their use for identifying local-scale critical “pinch-points” that urban planners may respond to with the integration of BGI interventions that address biodiversity enhancement among other ecosystem services. Here, we present a framework that simplifies and integrates the merits of regional connectivity assessments with a focus on urban areas to prioritise BGI planning interventions while reducing computational demands. Our framework facilitates: (1) modelling potential ecological corridors at a coarse regional scale, (2) prioritising local-scale BGI interventions based on the relative contribution of individual nodes in this regional network, and (3) inferring connectivity hot- and cold-spots for local-scale BGI interventions. We illustrate this in the Swiss lowlands, demonstrating how, compared to previous work, we are able to identify and rank different priority locations across the region for BGI interventions in support of biodiversity enhancement and how their local-scale functional design may be benefited by addressing specific environmental variables.

Analysis of priority locations for the development of Fishery Ports in the Southern of Java Island

Fishing port has a strategic role to encourage the development of the fishing industry and generate a regional economy. In the spatial plan, a fishing port is one of the forms of spatial structures, and the zoning plan has a Fishing Port Zone for the working and operation of the fishing port area. The aim of this study is to determine the priority fishing ports in the South of Java Island which will be developed and accommodated in the zoning plan and spatial plan policies within the framework of regional development. The method used in this study is to perform weighting and scoring analysis on criteria and sub-criteria based on the physical aspects, disaster, accessibility, spatial planning and space utilization, fishery, and prospect estimation. The result of this study concludes that the priority fishing port locations that can be further developed, namely: PPN Prigi, PPS Cilacap, and PPN Palabuhan Ratu.

Implementation of forest-land rehabilitation to support the enhancement of carbon stock on Indonesia’s FOLU net sink 2030 strategy

Indonesia’s critical land area has a declining trend and in 2018 it was recorded that the critical land area was 14.01 million ha. Efforts to restore critical land through forest-land rehabilitation activities are very important strategy for Indonesia to achieve the FOLU net sink by 2030. This strategy contributes significantly as a sinker for CO2 emissions because it will increase carbon stocks. This study aims to review the implementation as well as contribution of forest-land rehabilitation to support the enhancement of carbon stock on Indonesia’s FOLU net sink 2030. The desk study focused on analyse and review the data on rehabilitation program realization and compare to the target of rehabilitation program achievement in the document of Indonesia’s FOLU net sink 2030. Nationally, the increasing carbon stocks by planting trees through forest-land rehabilitation activities during 2015-2019 has reached a total planting area of 1,183,581 ha or an average planting of 236.716 ha/year. Meanwhile, Indonesia’s FOLU net sink 2030 has a target of increasing carbon stocks of 8,255,323 ha during the 2022-2030 period or an average planting target of 917,258 ha/year. This shows that the contribution of increasing carbon stocks through forest and land rehabilitation is very important, but there is still a gap between the realization of planting for the 2015-2019 period compared to the planting target for 2022-2030 to achieve the FOLU net sink in 2030. This gap can be overcome through the following strategies: 1) selection of priority locations; 2) strong funding support from international and private sectors; 3) community involvement actively through appropriate social forestry mechanisms.

The spatial distribution of infectious agents in wild Pacific salmon along the British Columbia coast

Although infectious agents can act as strong population regulators, knowledge of their spatial distributions in wild Pacific salmon is limited, especially in the marine environment. Characterizing pathogen distributions during early marine residence, a period considered a survival bottleneck for Pacific salmon, may reveal where salmon populations are exposed to potentially detrimental pathogens. Using high-throughput qPCR, we determined the prevalence of 56 infectious agents in 5719 Chinook, 2032 Coho and 4062 Sockeye salmon, sampled between 2008 and 2018, in their first year of marine residence along coastal Western Canada. We identified high prevalence clusters, which often shifted geographically with season, for most of the 41 detected agents. A high density of infection clusters was found in the Salish Sea along the east coast of Vancouver Island, an important migration route and residence area for many salmon populations, some experiencing chronically poor marine survival. Maps for each infectious agent taxa showing clusters across all host species are provided. Our novel documentation of salmon pathogen distributions in the marine environment contributes to the ecological knowledge regarding some lesser known pathogens, identifies salmon populations potentially impacted by specific pathogens, and pinpoints priority locations for future research and remediation.

Vegetation‐Driven Seasonal Sediment Dynamics in a Freshwater Marsh of the Mississippi River Delta

AbstractDeltaic wetlands are critically important coastal environments, upon which hundreds of millions of people depend. Managing and preserving them in the face of sea level rise will be a challenging task over the next century that will require land managers to devise restoration strategies that maximize the delivery and storage of mineral sediments, and to apportion limited sediment resources to priority locations. We collected a unique field data set characterizing sediment delivery to, and retention in, a deltaic wetland throughout a period of rapidly changing emergent and submerged vegetation conditions in the spring of 2019. Our results demonstrate that wetland deposition is extremely sensitive to the timing of the flood pulse with respect to vegetation conditions, and that vegetation alone can adjust sediment delivery and retention by one or more orders of magnitude over a period of weeks. In planning for wetland management operations, it will be critical for managers to assess these rapidly changing conditions as they influence project success.

Land Potential Analysis for Health Service Facilities (Puskesmas) in the Pinangsia Village, DKI Jakarta Province

Provision of Health Facilities is one of the government's mandates in ensuring public health in accordance with the 1945 Constitution article 34 paragraph 3 "The state is responsible for the provision of proper health service facilities and public service facilities" and Law No. 36 of 2009 article 15. Based on data from the Health Service it shows there are still health service facilities that operate not on land owned by the Provincial Government of DKI Jakarta. Government health services located on land with a lease or contract mechanism are very prone to experiencing problems such as contract extensions, permits, etc. Through a geographic information system, a model of the priority locations for the procurement of health services was developed to become a recommendation for the DKI Jakarta government. Based on the results of the analysis, the number of potential parcels obtained is 23 potential parcels which are dominated by potential parcels with priority category 2 with a total of 16 parcels, followed by priority category 1 with a total of 7 parcels

Sociodemographic and environmental factors associated with dengue, Zika, and chikungunya among adolescents from two Brazilian capitals.

Among the emerging and reemerging arboviral diseases, Zika, dengue and chikungunya deserve special attention due to their wide geographical distribution and clinical severity. The three arboviruses are transmitted by the same vector and can present similar clinical syndromes, bringing challenges to their identification and register. Demographic characteristics and individual and contextual social factors have been associated with the three arboviral diseases. However, little is known about such associations among adolescents, whose relationships with the social environment are different from those of adult populations, implying potentially different places, types, and degrees of exposure to the vector, particularly in the school context. This study aims to identify sociodemographic and environmental risk factors for the occurrence of Zika, dengue, and chikungunya in a cohort of adolescents from the Study of Cardiovascular Risks in Adolescents-ERICA-in the cities of Rio de Janeiro/RJ and Fortaleza/CE, from January 2015 to March 2019. Cases were defined as adolescents with laboratory or clinical-epidemiological diagnosis of Zika, dengue, or chikungunya, notified and registered in the Information System for Notifiable Diseases (SINAN). The cases were identified by linkage between the databases of the ERICA cohort and of SINAN. Multilevel Cox regression was employed to estimate hazard ratios (HR) as measures of association and respective 95% confidence intervals (95%CI). In comparison with adolescents living in lower socioeconomic conditions, the risk of becoming ill due to any of the three studied arboviral diseases was lower among those living in better socioeconomic conditions (HR = 0.43; 95%CI: 0.19-0.99; p = 0.047) and in the adolescents who attended school in the afternoon period (HR = 0.17; 95%CI: 0.06-0.47; p<0.001). When compared to areas whose Building Infestation Index (BII) for Aedes aegypti was considered satisfactory, a BII in the school region classified as "alert" and "risk" was associated with a higher risk of arboviral diseases (HR = 1.62, 95%CI: 0.98-2.70; p = 0.062; HR = 3.72, 95%CI: 1.27-10.9; p = 0.017, respectively). These findings indicate that living in less favored socioeconomic conditions, attending school in the morning, and having a high BII for Ae. aegypti in school's region can contribute to an increased risk of infection by Zika, dengue, or chikungunya in adolescents. The identification of residential or school areas based on those variables can contribute to the implementation of control measures in population groups and priority locations.

Garlic Field Classification Using Machine Learning and Statistic Approaches

The level of garlic consumption in Indonesia increases as the population grows. This is because most of the ingredients of Indonesian food recipes contain garlic. However, local garlic production is not sufficient to fulfil the demand. Therefore, the Indonesian government imported garlic from other countries to fulfil the demand. To reduce the import capacity of garlic, the government made a regulation to increase the potential area for garlic cultivation in several priority locations in Indonesia, one of which is Sembalun District, East Lombok. To support government regulation, this study presents an application of machine learning and a statistic approach for the garlic field mapping method in Sembalun, Indonesia. This study comprises several steps including the Sentinel-1A images data acquisition, image preprocessing, machine learning and statistic model training, and model evaluation. k-nearest neighbor (k-NN) and maximum likelihood classification (MLC) methods are selected in this study. The performance of k-NN and MLC are compared to other garlic field classification results developed in previous studies using pixel-based and image-based classifications. The comparison results show that the k-NN classification is slightly better than the SVM classification and also that it outperformed the MLC method. In addition, MLC works faster than k-NN in learning the dataset and testing the models. The classification results can be used to estimate garlic production in the study area. The study concludes that the proposed methods are better than other classification models and the statistic approach. The future study will improve dataset quality to increase the model’s accuracy.

Developing recommendations for coral disease management in Puerto Rico using key informant interviews and participatory mapping

Coral diseases pose one of the greatest threats to sustained coral reef health in Puerto Rico. The Puerto Rico Department of Natural and Environmental Resources oversees government-led coral reef conservation initiatives in the archipelago and made coral disease management a priority following the outbreak of stony coral tissue loss disease. This highly virulent and contagious coral disease arrived in Puerto Rico in 2019 and has caused unparalleled coral cover losses. The goal of this study was to use expert local knowledge for the development of coral disease management recommendations. Semi-structured interviews were conducted with 36 key informants representing 23 institutions throughout Puerto Rico. Participants were additionally guided through a participatory mapping exercise to identify coral disease field observations and recommend priority monitoring and intervention sites. Interview inductive coding analysis led to the identification of 10 coral disease management recommendations, each of which contain corresponding actions and strategies under four themes: monitoring, intervention, research, and education. Commonly occurring themes amongst interviewee recommendations included collaboration, communication, organization, and local capacity building. Participatory mapping exercises resulted in 193 disease sighting entries containing 778 disease observations, as well as 149 recommendations for priority coral disease monitoring and/or intervention efforts. The most frequently selected criteria for determining priority sites for coral disease intervention and monitoring were ecological importance, chance of recovery, logistical convenience, and high prior monitoring. An integrated assessment based on priority site selection criteria and interviews was used to identify 14 priority locations for monitoring and intervention and 7 priority locations for targeted citizen science outreach. The results of this study are currently being used to inform coral disease management decision making in a way that uses local knowledge, engages diverse partners, and encourages interagency and cross-regional collaborations. This study can be used as a guide for other localities seeking to develop comprehensive and localized marine ecosystem management plans.

Suitable Site Selections for Artificial Recharge Structure in Bandalli Watershed. Chamaraja Nagar District, Karnataka, India Using Remote Sensing, and GIS Techniques.

Bandalli watershed is characterized as an arid to semi-arid region with little access to water. Water is essential for all life forms for human consumption, agriculture and industry. Artificial groundwater recharge is a process by which the groundwater scrounges is reduced at a rate almighty the augmentation rate beneath natural replenishment conditions. The work aims to understand the groundwater scenario in distinction to the geological point of view as the geology of the area concerned is the primary control of groundwater recharge and potentiality. The study began with gathering and analyzing necessary data for creating water balance and determining the best techniques for artificial recharge. The best artificial recharge sites in the vicinity have been validated. The present investigation is to find and select ideal sites for future zones to create a new shape using GIS (Geographic Information System) software version 10.8. To estimate the appropriateness of the site for artificial recharge, the model incorporated numerous criteria, various parameters slope, Lu/Lc, stream order, soil aspect and hydrology. Artificial recharge planning was calculated using runoff availability, aquifer dimension, priority locations, and local water table conditions. Most areas are undulating to recommend recharge structures, which will help the water table and the agricultural sector to augment the water harvesting to improve the groundwater.

KAJIAN PENENTUAN PRIORITAS RUANG TERBUKA HIJAU BERDASARKAN FENOMENA URBAN HEAT ISLAND DI KOTA CIREBON

Urban Heat Island (UHI) is characterized by an increase in surface temperature that occurs in downtown areas which is higher than in sub-urban areas. Cirebon City in 2018 - 2023 years has an increased population growth rate of 2.9% per year and ± 55% of built-up land. Cirebon city also one of the 9 cities in West Java where there has been an increase in temperature where the UHI phenomenon occurred in 1989 – 2021 years with the downtown and sub-urban areas having a surface temperature difference of 3°C. So it is necessary to have a study regarding determining the priority of green open space reduce the effect of UHI in Cirebon City. The research methodology used is Landsat 8 image processing and with helping of a Geographic Information System (GIS) to determine priority green open space locations. The parameters used are vegetation index, population density and comfort index. The purpose of this study is to determine the priority locations in increasing the area of green open space to reduce the UHI effect based on the level of suitability of the Cirebon City Rencana Detil Tata Ruang (RDTR). The results of the study show that areas that are not suitable according to the RDTR of Cirebon City are the top priority that needs to be done. The priority is reforestation covering an area of ± 2,481.22 ha around built-up land by modifying green open space in the form of implementing green infrastructure (GI) .

Identifying priority locations to protect a wide-ranging endangered species

1.Medium and large scavengers often move long distances to locate sufficient foraging areas, often including buffer zones of protected areas, putting them at considerable risk from geographically dispersed threats.2.Vultures are declining worldwide with poisoning being the greatest threat in Africa. Using a novel capture-recapture model applied to carcasses found by 51 GPS tracked vultures, we estimated the exposure, threat, and risk of poisoning to vultures in southern Tanzania. Exposure to poisoning was defined as the areas that vultures use and where carcasses are likely to be found by a given individual. We used a human footprint map as a proxy for threat, identifying locations where poisoning was possible. Risk of poisoning was determined as areas with an overlap of exposure and threat.3.We found that locations with the greatest risk of poisoning were within 20 km of protected areas. Although most high-risk areas we identified fell within this buffer, our risk assessment method identified additional hot-spots including some high-risk areas that fell outside nearby buffers.4.We found that our risk assessment allowed us to identify more localised, high-risk areas that cover a much smaller total area. This gives more precise insight into where conservation management should be prioritised and limited resources should be focused.

Identifikasi Lokasi Potensial dan Prioritas Pengembangan Agroindustri Aren di Kabupaten Tasikmalaya, Jawa Barat

Sugar palm is a plantation crop that has benefits economic, ecological, social and cultural, but the exploitation of palm sugar is generally still taking the results of plants that grow naturally. Identification of the distribution of sugar palm plants needs to be done to obtain priority locations for the development of sugar palm agro-industry. The potential location shows that the sugar palm has a comparative and competitive advantage compared to other plantation commodities. Comparative and competitive advantages can be determined using the Location Quotient (LQ) and Differential Shift (DS) methods, while the priority for developing sugar palm agro-industry products is determined by the exponential comparison method with criteria 1) market potential, 2) environmental sustainability and waste minimization, 3) availability of raw materials and supporting material, 4) local government support, 5) human resource capability, 6) availability of applicable technology, 7) competitiveness of similar products and substitute products, and 8) efficiency of production costs. The results showed that the potential location of sugar palm plants were found in five districts in Tasikmalaya Regency, among others Ciawi districts, Cigalontang districts, Jamanis districts, Jatiwaras districts, and Sukahening Districts. The priority of developing agroindustry products based on the analysis of the corresponding exponential comparison method is palm sugar (10.21), palm fruit (10.20), palm fiber (10.19), ant sugar (10.17) and palm starch flour (10.06).

Hospitalization due to fire-induced pollution in the Brazilian Amazon: A causal inference analysis with an assessment of policy trade-offs

Developing countries by relying on agricultural fires trade respiratory health for cheaper land preparation and greater food security of subsistence farmers. In the Brazilian Amazon, thousands of kilometres of vegetation are annually burned, releasing pollutants that impact the health of 24 million inhabitants. The paper seeks to fill two crucial informational gaps for policy planning, namely, the size of the impact on the most pollution-susceptible groups, i.e., children and the elderly, and the priority locations for health-oriented intervention on fires. A municipal-monthly panel covering ten years of the Amazonian territory was analysed by relying on exogenous and high-resolution wind direction variation to identify the effect of fires on pollution and hospitalizations. This is an unparalleled effort for applying to a large geographical area spanning five million km2 a highly refined identification strategy relying on hourly gridded wind and fire data. As the result, one extra standard deviation of “upwind” fires was estimated to increase asthma-related hospitalization of the elderly in 0.03 days/month, that is, 4 % of the bed-days commonly demanded by such kind of hospitalization, an effect whose size decayed with the distance between fires and hospitals. A policy assessment uncovered the trade-off between respiratory health of the elderly and nutritional health of fire-dependent subsistence farmers, presenting a priority map for tackling the issue with municipal-level interventions. The targeting of non-subsistence fires is advised, what could avoid 28 days of hospitalization per year. It is thus demonstrated that the trade-offs inherent to agricultural fires could be better balanced by evidence-based targeting of fire prevention policy.

Distribution modelling of Aedes aegypti in three dengue-endemic areas in Sumatera, Indonesia.

Ae. aegypti is a dengue virus vector and a public health threat in Indonesia. Furthermore, the Dengue Haemoragic Fever (DHF) has spread to all cities in the country, including Bandar Lampung. A species distribution model, Maximum Entropy (MaxEnt), was used to predict the geographic distribution of this vector in three dengue-endemic areas, namely Sukarame, Kemiling, and Tanjung Seneng. Previously, surveillance was conducted to determine the presence of Ae. aegypti. Therefore, this study suggested that environmental variables such as rainfall, temperature, land cover, and population density have influenced the widespread of Ae. aegypti and facilitate its proliferation in the study areas. The influence of the environmental variables was analyzed using a response curve. The model performance was measured by percent contribution, the importance of permutations, and the jackknife test. This study's evaluation indicates that the certainty models for the presence of Ae. aegypti in Sukarame, Kemiling, and Tanjung Seneng were developed extremely well, with respective values of 0.989, 0.993, and 0.969. The results showed that Ae. aegypti is widespread in the three endemic areas. The high population density and land conversion into settlements are influential environmental variables essential in determining the distribution of the vector in three areas of Bandar Lampung. Climatic factors such as rainfall and temperature are supporting aspects in maintaining the habitat of Ae. aegypti in the area. Mapping areas at risk of this dengue vector can aid in planning disease management strategies and identifying priority locations for entomological surveys to control epidemics.

Embedding the value of coastal ecosystem services into climate change adaptation planning.

Coastal habitats, such as salt marshes and dune systems, can protect communities from hazards by reducing coastline exposure. However, these critical habitats and their diverse ecosystem services are threatened by coastal development and the impacts from a changing climate. Ever increasing pressure on coastal habitats calls for coastal climate adaptation efforts that mitigate or adapt to these pressures in ways that maintain the integrity of coastal landscapes. An important challenge for decisionmakers is determining the best mitigation and adaptation strategies that not only protect human lives and property, but also safeguard the ability of coastal habitats to provide a broad suite of benefits. Here, we present a potential pathway for local-scale climate change adaptation planning through the identification and mapping of natural habitats that provide the greatest benefits to coastal communities. The methodology coupled a coastal vulnerability model with a climate adaptation policy assessment in an effort to identify priority locations for nature-based solutions that reduce vulnerability of critical assets using feasible land-use policy methods. Our results demonstrate the critical role of natural habitats in providing the ecosystem service of coastal protection in California. We found that specific dune habitats play a key role in reducing erosion and inundation of the coastline and that several wetland areas help to absorb energy from storms and provide a protective service for the coast of Marin county, California, USA. Climate change and adaptation planning are globally relevant issues in which the scalability and transferability of solutions must be considered. This work outlines an iterative approach for climate adaptation planning at a local-scale, with opportunity to consider the scalability of an iterative science-policy engagement approach to regional, national, and international levels.

Evaluating priority locations and potential benefits for building a nation-wide fuel break network in Portugal

Despite growing interest in developing extensive fuel treatment programs to prevent catastrophic wildfires in the Mediterranean region, there is little information on the projected effectiveness of fuel treatments in terms of avoided exposure and risk. In Portugal, a fuel management plan aiming to prevent loss of lives, reduce large fires (>500 ha), and reduce annual burned area is under implementation, with particular emphasis on the nation-wide fuel break network (FBN). In this study, we evaluated the effectiveness of the planned FBN in terms of meeting fire management objectives, costs, and benefits. We first estimated the overall effectiveness of the FBN at intersecting modeled large fires (>500 ha) and at reducing exposure to protected areas and residential buildings using wildfire simulation modeling. Then, the fuel break burn-over percentage, i.e. the percentage of fires that are not contained at the FBN, was modeled as a function of pre-defined flame length thresholds for individual FBN segments. For the planned FBN, the results suggested a potential reduction of up to 13% in the annual burned area due to large fires (ca. 13,000 ha), of up to 8% in the annual number of residential buildings exposed (ca. 100 residential buildings), and up to 14% in the annual burned area in protected areas (ca. 2400 ha). The expected burn-over percentage was highly variable among the segments in response to estimated fire intensity, and an average decrease of 40% of the total benefits was estimated. The most important fuel breaks typically showed a higher percentage of fire burn-over, and hence reduction in effectiveness. We also showed that the current implementation of FBN follows a random sequence, suboptimal for all objectives. Our results suggest that additional landscape-scale fuel reduction strategies are required to meet short-term national wildfire management targets.