Pacific Region Research Articles

Immunoglobulin A Nephropathy: A Review.

Immunoglobulin A nephropathy is a primary glomerulopathy, with prevalence ranking highest in the Pacific region, followed closely by Europe, but rare in Africa. Although practice patterns likely have contributed to its prevalence, there are genetic and environmental factors that contribute as well. Management has evolved over the past decade, with recent rapid advances in diagnosis, prognosis, and therapies. This review summarizes the history, pathogenesis, and diagnosis of immunoglobulin A nephropathy and also cites relevant clinical trials, latest treatment options, and unanswered questions.

Asymmetric ENSO teleconnections in a symmetric CO2 concentration pathway

Abstract El Niño-Southern Oscillation (ENSO) is the strongest interannual phenomenon occurring in the tropical Pacific, significantly affecting the entire world. The ENSO response to increasing CO2 concentrations have been extensively studied, but the reverse scenario is still not well understood. Here, we investigate the hysteresis of ENSO teleconnections in a CO2 removal simulation of an earth system model. During the ramp-up period of CO2 concentrations, Pacific-North American and Pacific-South American patterns are intensified, with the eastward shift of their poles, which are even further intensified during the ramp-down period. This ENSO teleconnection hysteresis is closely linked to the tropical-origin hysteresis, in which, during the ramp-down periods, the prevalence of the eastern-Pacific type El Niño leads to the hysteresis in the eastern Hemispheric ENSO teleconnections and the enhanced ENSO skewness and the eastward shift of ENSO-induced tropical atmospheric convection do to that in the western Hemispheric ENSO teleconnection. The alterations by the tropical origin are predominantly associated with intensified southward migration of the Intertropical Convergence Zone, along with a stronger El Niño-like warming trend. We also demonstrate that the hysteretic change in the mid-latitude mean state over the North Pacific region could lead to hysteresis of the ENSO teleconnection without invoking a tropical origin.

Using social-network analysis to map institutional actors’ links with vulnerable municipalities under climate change in Honduras’ dry corridor. Pathways towards improved cooperation and territorial interventions

The Honduras dry corridor, located in Central America’s Pacific region, has high natural climate variability. Nearly half of the Honduran population depends on socio-economic activities linked to agriculture, making climate-change adaptation crucial for the agricultural sector to ensure food and nutrition security. This research analyzes how institutional structures function and interact as a network to investigate the spatial coherence and relevance of public- and private-sector interventions related to agriculture, climate change, and food security in 153 municipalities of Honduras’ dry corridor. We employed a Social Network Analysis (SNA) approach to examine these interactions over the territories, revealing two network patterns: the first favors a single municipality, observed only in the Central District where Honduras’ capital is located; the second is an egocentric network, favoring a single institution, observed in four cases, particularly in municipalities bordering with El Salvador and Guatemala. The SNA results reveal a spatial misalignment, where only 9% of interventions linked to climate-change adaptation are conducted in the highly vulnerable, outlying zones located farthest from the capital. The study highlights the need for improved coordination and strategic prioritization of interventions in the most vulnerable municipalities within the Honduras dry corridor, specifically improvement in collaborative actions, use of resources, and setting strategic priorities in regions where future demand will require progressively mobilizing institutional capabilities. By identifying the current gaps and misalignments in institutional actions, this research provides valuable insights for policymakers and stakeholders to enhance collaborative efforts to ensure that climate-change adaptation measures effectively target the most vulnerable areas.

Automatic detection of landslide impact areas using Google Earth Engine

This research introduces an effective framework for automatically detecting landslide impact areas using Google Earth Engine (GEE). The Asia–Pacific region frequently experiences earthquakes and heavy rainfall, leading to frequent landslides that cause loss of life and property. Focusing on landslide catalogues from Taiwan and Japan, the study proposes an automatic landslide detection process using a new method termed multi-bitemporal images (MBTIs), which involves the collection of accumulated changes over time. First, set the event date and collect all images before and after the event. Second, analyse the change pixels in bi-temporal images. Third, review all change pixels to determine the total amount of accumulated changes. This method includes all bi-temporal image sets in the analysis, unlike traditional methods that only use single pairs of bi-temporal images. Clouds are filtered using a pixel-based approach and machine learning techniques. The landslide areas are analysed statistically, and appropriate thresholds for automatic landslide detection are suggested. Using reproducibility, which indicates the percentage of bi-temporal images that detect vegetation loss in mountainous areas, the proposed method achieves a 99% reduction in false positives with a reproducibility requirement of 24.21%, while maintaining true positives at 66.89%. This study analyzed 28–720 bi-temporal image sets from various regions using Sentinel-2 data, revealing that subsequent landslides can be 7–293 times larger than co-seismic landslides. In comparison, subsequent landslides were found to be 3–12 times larger than rainfall-induced landslides. Additionally, the impact of earthquake event on subsequent landslides is 2.3–24.4 times greater than that of rainfall-induced event. By using GEE, the accumulation of hundreds of satellite images can be completed within 15 min, depending on the processing requirements.

Asia-Pacific developments

This column provides a country by country analysis of the latest legal developments, cases and issues relevant to the IT, media and telecommunications' industries in key jurisdictions across the Asia Pacific region. The articles appearing in this column are intended to serve as ‘alerts’ and are not submitted as detailed analyses of cases or legal developments.

Community composition and distribution of epi- and suprabenthic macrofauna in the bathyal, abyssal, and hadal zones of the northern North Pacific

The deep sea, Earth’s largest biome, harbors numerous unknown species. Prior to the AleutBio (Aleutian Trench Biodiversity Studies) expedition from July to September 2022, the Northeast (NE) Pacific at abyssal and hadal depths was virtually unexplored. Our study presents new findings from the AleutBio project on the macrofaunal composition of the Bering Sea (BS) and Aleutian Trench (AT) collected by means of an epibenthic sledge (EBS), comparing these results with data from the Kuril-Kamchatka Trench (KKT) and the Northwest (NW) Pacific. Additionally, we examine variations in macrofaunal composition and abundance across different regions and depths. A biogeographic gap analysis using data from the Ocean Biodiversity Information System (OBIS) and the Global Biodiversity Information Facility (GBIF) found that, out of 170,627 occurrence records from the North Pacific and Bering Sea, only 153 were from depths below 3,500 m. The AleutBio project addressed this gap by significantly expanding the dataset with 36,499 new records collected during the expedition using an EBS. Nearly 98 % of the specimens were from five phyla: Arthropoda, Annelida, Mollusca, Echinodermata, and Nematoda, with Polychaeta, Copepoda, and Nematoda being the most abundant taxa. Although the number of individuals varied between stations, there was no significant decrease in abundance with increasing depth, and some hadal stations had similar numbers of invertebrates as abyssal stations. Regional differences were observed, with Polychaeta and Nematoda being dominant in the BS, and Copepoda more prevalent at western abyssal stations. Depth emerged as the key factor influencing macrofaunal distribution, with distinct patterns across bathyal, abyssal, and hadal depths. Comparisons with other NW Pacific regions, like the Sea of Japan and Sea of Okhotsk, show that depth and water body isolation play crucial roles in shaping faunal communities. AleutBio’s extensive sampling below 3,500 m has vastly increased available data, aiding in the understanding and conservation of deep-sea biodiversity. While certain taxa showed patchy distributions, no significant differences in faunal composition were found between geographic areas or depth zones. These findings underscore the dynamic nature of deep-sea ecosystems and highlight the importance of depth in shaping macrofaunal communities, emphasizing the need for continued research in these fascinating environments.

Seed Morphology and Tetrazolium Quick Seed Viability Test of Malabar Neem (Melia dubia Cav.) Under Laboratory Condition

Melia dubia Cav. commonly known as Malabar Neem, is an economically important fast-growing indigenous multipurpose tree species of India. It has a wide range of applications from medicinal utilities such as treating pain, fever, and infections, to agricultural and industrial uses viz., fodder, seed oil, resin, fuel wood, timber and its wood being utilized in the paper, matchbox, and plywood industries. Malabar Neem generally is distributed in tropical and sub-tropical regions of India and introduced in many countries of South Africa, the Middle East, North and South America, Brazil, Bermuda, Argentina, Southern Europe, Southeast Australia, and Asia Pacific regions. Nevertheless, it is a most promising tree species which is highly suitable for agroforestry or farm forestry with a life cycle of 8 to 12 years that gaining economic importance both in domestic and global markets and plantations in degraded lands. Consequently, the demand of Melia seedlings among Indian farmers has been increased, however the poor seed viability and very low seed germination hampered the good quality nursery production and large-scale plantations. Before seed sowing in nursery, there is need to determine the actual seed viability and to know the required seed quantity of Melia to be sown in forest nursery. Therefore, the present research study was conducted at Dr. Y. S. Parmar University of Horticulture and Forestry, Nauni, Solan, Himachal Pradesh of India to study the seed morphology and seed viability testing protocol using tetrazolium (TZ) test. The seeds of Melia species stained with 0.5, 1.0, 1.5 and 2.0 % solution of TZ and incubated at 30°C temperature for 24 hours. The tetrazolium test performed with 100 seeds in 4 replications in CRD design and analyzed with OPSTAT statistical software. The length, width and weight of fruit, drupe and seed were recorded in the range of 9.40-12.97 mm, 6.55-9.70 mm & 2.84-2.99 g; 5.84-14.32 mm, 2.76-9.72 mm & 1.672-1.798 g; and 1.2-1.98 mm, 1.02-2.98 mm & 3.12-3.74 g, respectively. The colour of fruit was yellow with oval shape having smooth surface. The result of TZ test showed that the seeds of Malabar Neem soaked in 0.5 % tetrazolium solution at 30 °C temperature for 24 hours found to be the highest seed viability percentage (40.25 %) which is recommended as a quick seed viability protocol in M. dubia. Overall, the results of the present research study fulfilled all the gaps to test quick seed viability of a seed lot before seed sowing in nursery for accurate knowledge of the seed requirement in quantity for the purpose of quality seedling production in nursery.

Botanical, phytochemical and pharmacological profile of the mangrove plant Kandelia candel (L.) Druce

Kandelia candel L. Druce (family Rhizophoraceae) is a true / major mangrove that has a wide-spread distribution along the coastal areas of the Indo-west Pacific region of the earth. It is commonly found along the coasts of India and a few South East Asian countries. Its parts have numerous applications in leather, textile, furniture industries, and is also used by the traditional health practitioners / healers to treat diabetes. It is known to be producing a variety of phytochemicals. Extracts and compounds isolated from K. candel have exhibited noteworthy biological activities. An attempt has been made to compile the up-to-date information on this mangrove plant from globally recognised scientific databases. This review would provide necessary informationtoformulate the possible application of this common mangrove in standard as well as complementary medicine.

National early warning systems for emerging AMR in high-income countries: a systematic review

Abstract Background An urgent need of implementing national surveillance systems for timely detection and reporting of emerging antimicrobial resistance (AMR) was recently advocated by the World Health Organization (WHO). However, public information on existing national early warning systems (EWSs) is often incomplete. Furthermore, when findings are available, understanding these systems is challenging due to different approaches used for data collection, reporting and definitions, with a comprehensive overview on this topic currently lacking. The aim of this study was to map existing EWSs for emerging AMR, focusing on high-income countries, and describe their main characteristics. Methods A systematic review was performed on bibliographic databases, and a targeted search was conducted on national websites. Any article, report or webpage describing national EWSs in high-income countries was eligible for inclusion. EWSs were identified considering the emerging AMR reporting WHO framework. Results We identified seven national EWSs in 72 high-income countries: two (Australia, Japan) in the East Asia and Pacific Region, three (France, Sweden, United Kingdom) in Europe and Central Asia, and two (United States, Canada) in North America. The systems were established quite recently; in most cases they covered both community and hospital settings, but their main characteristics varied widely across countries in terms of organization and microorganisms under surveillance, with also different definitions of emerging AMR and alert functioning. A formal system assessment was available only in Australia. Conclusions A broader implementation and investment of national surveillance systems that allow early detection of emerging AMR is still needed to establish EWSs in countries and regions lacking such capabilities. A more standardized data collection and reporting is also advisable to improve cooperation on a global scale. Key messages • This study provides a synthesis of publicly available information on national EWSs for emerging AMR in high-income countries, highlighting the urgent need for a broader implementation of such systems. • Main characteristics of EWSs have been outlined, varying widely across countries. Findings could help stakeholders in strengthening current standard national AMR surveillance systems.

Seasonal forecasts have sufficient skill to inform some agricultural decisions.

Abstract Seasonal forecasts, which look several months into the future, are currently underutilized in active decision-making, particularly for agricultural and natural resource management. This underutilization can be attributed to the absence of forecasts for decision-relevant variables at the required spatiotemporal resolution and at the time when the decisions are made and a perception of poor skill by decision-makers. Addressing these constraints, we quantified the skill of seasonal forecasts in informing two agricultural decisions with differing decision timeframes and influencer variables: (a) whether to apply fertilizer in fall or wait until spring based on expected winter temperatures, and (b) drought response, such as whether to lease water based on expectations of drought. We also looked into how early the forecast can be provided without significant degradation in skill. Currently, drought response decisions are typically formulated in April, utilizing drought forecasts issued in the same month, while fall fertilization decisions are generally made between August and September. There is growing interest among stakeholders in the availability of earlier forecasts to inform these critical choices. We utilized the North American Multi-Model Ensemble (NMME) hindcasts for the time period 1982 - 2020 over the Pacific Northwest US to obtain meteorological variables. Runoff was estimated via simulations of the coupled crop-hydrology VIC-CropSyst model. The skill assessment with the Heidke Skill Score (HSS) yielded promising outcomes in both decisions for the entire Pacific Northwest region. Notably, NMME’s positive skill (median HSS of 30%) in predicting warmer winters identifies years when fertilizer application should be avoided to prevent fertilizer loss through mineralization (and associated costs). Similarly, there is skill in forecasting drought conditions in most irrigated watersheds for up to two months in advance of April, the current decision time. In conclusion, our findings affirm that contrary to the perception of low skill and resulting underutilization, current seasonal forecasts hold the potential to inform at least some key agricultural decisions.

SCORE2-ASIA risk prediction algorithms: revised models to estimate 10-year risk of cardiovascular disease in the Asia Pacific Region

Abstract Background Most current cardiovascular disease (CVD) prediction tools have been developed and validated solely in Western countries, while there are significant differences between Asian and Western populations in risk factor distributions and CVD incidence patterns. This study outlines the recalibration and validation of the SCORE2-ASIA model to estimate 10-year fatal and non-fatal CVD risk among adults aged 40-69 years with no previous CVD or diabetes in the Asia Pacific Region. Methods The sex-specific and competing risk-adjusted SCORE2 models were systematically recalibrated to reflect CVD incidence in the Asian clinical practice. We defined four risk regions in Asia according to country-specific CVD mortality rates (low risk (<100 CVD deaths per 100,000), moderate risk (100 to <150 CVD deaths per 100,000), high risk (150 to <300 CVD deaths per 100,000), and very high risk (≥300 CVD deaths per 100,000)). Models were recalibrated using region representative data on expected incidences and risk factor distributions, utilising the methodological approaches developed in recalibration of the SCORE2 models for Europe. The SCORE-ASIA model was externally validated in all risk regions using population-based cohort data from independents cohort data. To ensure the European coefficients well applied to Asian populations, the SCORE2 model derivation process was repeated in external validation cohorts. Results Region-specific incidence was estimated using country-specific data on CVD mortality and data on the ratio of fatal to total events on 9,496,212 individuals from 5 Asian countries (496,212 CVD events). For external validation, we analysed data from 12 additional cohorts in 13 Asian countries (4,775,976 individuals, 176,011 CVD events). After applying the derived risk prediction models to external validation cohorts, the pooled external validation C-index was 0.709 (95%CI 0.676-0.743). In the nationally representative CDMD cohort from Singapore (population completely separate from recalibration data) there was adequate agreement between predicted and observed risks. Risk factor coefficients derived in Asian populations were largely similar to the original SCORE2 coefficients, indicating that the original SCORE2 coefficients apply well to the Asian population. Predicted CVD risk varied several-fold across Asian risk regions. For example, the estimated 10-year CVD risk for a 50-year-old non-smoker, with a systolic blood pressure of 140mmHg, total cholesterol of 5.5mmol/L, and HDL-cholesterol of 1.3mmol/L, ranged from 12% for men in low-risk countries to 26% for men in very-high-risk countries, and from 7% for women in low-risk countries to 26% for women in very-high-risk countries. Conclusions The SCORE2-ASIA model accurately predicts 10-year risk of CVD for apparently healthy people in Asian countries after systematic recalibration, thereby enhancing the identification of individuals at higher risk of developing CVD across the Asia Pacific Region.

Numerical investigation of the effective receptive field and its relationship with convolutional kernels and layers in convolutional neural network

The receptive field (RF) plays a crucial role in convolutional neural networks (CNNs) because it determines the amount of input information that each neuron in a CNN can perceive, which directly affects the feature extraction ability. As the number of convolutional layers in CNNs increases, there is a decay of the RF according to the two-dimensional Gaussian distribution. Thus, an effective receptive field (ERF) can be used to characterize the available part of the RF. The ERF is calculated by the kernel size and layer number within the neural network architecture. Currently, ERF calculation methods are typically applied to single-channel input data that are both independent and identically distributed. However, such methods may result in a loss of effective information if they are applied to more general (i.e., multi-channel) datasets. Therefore, we proposed a multi-channel ERF calculation method. By conducting a series of numerical experiments, we determined the relationship between the ERF and the convolutional kernel size in conjunction with the layer number. To validate the new method, we used the recently published global wave surrogate model for climate simulation (GWSM4C) and its accompanying dataset. According to the newly established relationship, we refined the kernel size and layer number in each neural network of the GWSM4C to produce the same ERF but lower RF attenuation rates than those of the original version. By visualizing the gradient map at several points in West African and East Pacific areas, the high gradient value regions confirmed the known swell sources, which indicated effective feature extraction in these areas. Furthermore, the new version of the GWSM4C yielded better prediction accuracy for significant wave height in global swell pools. The root mean square errors in the West African and East Pacific regions reduced from approximately 0.3 m, in the original model to about 0.15 m, in the new model. Moreover, these improvements were attributed to the higher efficiency of the newly modified neural network structure that allows the inclusion of more historical winds while maintaining acceptable computational consumption.

Reproducing and reformulating categories of skill in regional and global migration governance: evidence from India and Bangladesh

ABSTRACT Approximately one-third of the world’s 169 million migrant workers come from the Asia and Pacific region, primarily working in temporary, low-wage jobs in the Gulf, where they face human and labor rights issues. In 2003, 12 Asian migrant-origin states formed the Colombo Process to address these labor concerns. This article examines and contrasts two major emigrant-origin states’ – India and Bangladesh –behavior in the Colombo Process, a regional consultative process, and other multilateral migration governance fora, focusing on the social construction of skills. Both countries inherited a colonial legal system of emigration regulation which distinguished emigrants into “high-” and “low-skill” categories, which India continues to reproduce, while Bangladesh aims to reformulate their categorization. This article investigates the how, where, and when of the countries’ emigrant categorization processes by tracing the categories’ origins, their reproduction, and reformulation. This article highlights the significant role migrant-origin states play in the politics of skill.

The South Pacific: The New Global Geopolitical Battleground?

The dynamics of the strategic environment in South Pacific Region involving major powers in the world such as USA, Australia, China, Japan, India, New Zealand, make the world's eyes on the Region. The purpose of this study is to further explain why the South Pacific region is considered a new global geopolitical battleground. This research was developed using the literature study method. The results of the analysis show that this region has a strategic geographic location and has abundant natural resources that make major countries in the world compete to strengthen their influence and dominance in the region in order to achieve their national interests thus making the South Pacific region has become a new battleground in global geopolitics.

Probabilities of transitions among endogenous regimes in asset returns and Environmental, Social and Governance scores

AbstractAssets' returns can be efficiently clustered in regimes, that are suitably defined non‐overlapping intervals creating a partition of the real numbers. This paper explores the relationship between the transition probabilities from one regime to another in assets' returns and the assets' MSCI Environmental, Social and Governance (ESG) scores. We apply the proposed methodology to the relevant empirical instance of the assets in the STOXX® Global 1800 Index. We consider three regimes—low, medium and high, on the basis of the variation range of the considered returns. Regimes are endogenous, in that their identification comes out from an entropy‐based optimization problem over the possible ranges of variation of the returns. We specifically investigate the possible linear relationship between transition probabilities among regimes and the ESG scores for different geographic regions, namely, America, Europe and Asia Pacific. The reference empirical period is the quadrennium 2018–2021. Results suggest that assets that are low ranked in ESG tend to remain in the low state of returns, if they are in the low state, while they tend to switch from higher to lower return states when the initial state is higher. On the other hand, assets that are highly ranked in the ESG dimensions, are likely to switch from a lower to a higher return state, when they are in a lower state or to remain in the same state when they are in a higher state. Results are more evident for America and Asia Pacific regions rather than Europe where regulation on ESG integration is at a more developed stage with respect to the other regions.

A Tribute to and in Memory - Dr David Briggs AM (1948-2024)

Dr. David Briggs served as the Editor-in-Chief for the APJHM for 15 years and was responsible for the formation, development and steering the professional growth and impact of this publication. David was appointed by the Australasian College of Health Service Management (ACHSM) in the second year of the journal’s establishment which was introduced as the College’s own applied, peer reviewed journal aimed at communicating the development and practice of the field of health management within the Asia Pacific region......

Analyzing Savings Behavior Among University Students: A Case Study of Bank's Financial Education Initiatives

This study investigates the impact of Maybank’s Financial Education Initiatives and financial goal-setting on the savings behavior of university students. Utilizing both primary and secondary data, the study aims to determine how financial education and the establishment of measurable financial goals influence students' savings habits. Primary data was collected through an online survey distributed to 200 university students using a Five-Point Likert Scale to measure responses regarding their participation in financial education programs, financial goals, and savings behavior. Secondary data was sourced from relevant academic journals focusing on accounting and finance research in the Asia Pacific region. The results reveal that both financial education and goal-setting significantly influence savings behavior, with financial goals exhibiting a stronger effect. Regression analysis shows that financial goals (β = 0.386) have a higher impact on savings than Maybank’s Financial Education Initiatives (β = 0.270). The study concludes that while financial literacy is crucial, goal-setting plays a more pivotal role in promoting consistent saving behavior. The findings imply that financial literacy programs should integrate goal-setting strategies to maximize their effectiveness in fostering long-term financial responsibility among students

Prevalence of Chronic Obstructive Pulmonary Disease Exacerbation with Heart Failure Comorbid: A Systematic Review and Meta-Analysis

Heart Failure (HF) is one of the comorbidities in Chronic Obstructive Pulmonary Disease (COPD), associated with the incidence of respiratory tract infections which is a risk factor for COPD exacerbations. Eleven studies conducted in the meta-analysis. Pooled prevalence of COPD exacerbations with HF comorbidity was 29,43 % (95%CI:17,68%- 42,92%) and statistical heterogenity among the eleven studies was significant (I2 = 99,95%. Q = 191,96 p=<0,001). Eight studies were based in Europe, two studies in Americas and one study in Asia. Prevalence of COPD exacerbations with HF comorbidity based on WHO region subgroup analysis found European region 31,44% (95%CI: 17,87%-46,58%), America’s region 32,92% (95%CI: 12,61%-55,73%) and the Western Pacific region 10,86% (95%CI:10,03%- 13,21%) with significant statistical heterogeneity (I2 = 99,94%, Q = 191,96, p= <0,001). The age of exacerbating COPD patients with comorbid heart failure was above 70 years and there were differences in gender characteristics based on the two studies that reported. Statins reduce the incidence of COPD exacerbations. Differences in the risk of COPD exacerbation receiving Angiotensin Converting Enzyme Inhibitor/Angiotensin Receptor Blocker (ACEi/ARB) therapy. The most common comorbid cardiovascular disease apart from heart failure are atrial fibrillation and ischemic heart disease. As a conclusion, the pooled prevalence of COPD exacerbations with heart failure comorbid in this systematic review and meta-analysis was 29.43% (95% CI:17.68%-42.92%). Keywords: COPD exacerbation, Heart Failure, prevalence

Relocating occupation: A critical environmental justice analysis of the US military migration from Okinawa to Guåhan

The US military buildup across the Pacific is an ongoing colonial project reproducing oppressive power structures, human rights violations, and systemic environmental injustices. As the United States bolsters its Pacific presence, islands and peoples living on them are particularly vulnerable. However, not all places face overtly growing military-colonial occupations. Following decades of substantial military presence in Okinawa, 2024 marks the beginning of a precarious troop withdrawal from the Japanese prefecture. This significant reduction in Marine Corps personnel is the result of decades of political activism by Okinawans, who have continually resisted occupation and longstanding patterns of violence and oppression. Yet these military forces are not just leaving, they are relocating. The withdrawal coincides with 5,000 Marines and a new base coming to Guåhan (Guam), a territory where about 30% of land is under military control. This article examines these processes of military buildup and relocation through a critical environmental justice lens. We expand upon research on these issues by centering the critical environmental justice pillars concerning intersectionality, multiple scales, state power, and indispensability. We analyze the interconnections between Okinawa and Guåhan and argue that environmental justice scholarship must consider global geopolitics, interconnectivity, and sovereignty to adequately approach environmental movements in the Pacific region. In addition, we demonstrate that environmental justice victories in non-self-governing territories remain vulnerable to reversal and we advocate for inter-island coalition-building to avoid passing environmental harms from one island to another.

Militourism

This review tracks the genealogy of the term militourism and its development and use since the early 1990s primarily through the scholarship of Teresia Teaiwa. It begins with a discussion of the concept’s emergence, with particular attention to the Pacific region, and examines other sites where the term has shed light on tourism and militarism’s collusions. In addition, the review considers scholarship that works with and through the term militourism, but which do not necessarily engage with its specific analytic. The review also examines the centrality of race, indigeneity, and gender in militourism’s analytical scope, and notes how its origins in the militarized Pacific necessarily tether the term to land and decolonial struggles.