East Coast Region Research Articles

Predictive modeling of nitrogen and phosphorus concentrations in rivers using a machine learning framework: A case study in an urban-rural transitional area in Wenzhou China

Rapid urbanization in China since 1980 generated environmental pressures of non-point source pollution (NPSP) and increased wide public concerns. Excessive quantities of nitrogen (N) and phosphorus (P) is a significant source of aquatic pollution, despite of their roles as essential nutritional elements for aquatic life processes. In this study, we present a new framework using random forest (RF) as a powerful machine learning algorithm driven by geo-datasets to estimate and map the concentration of total nitrogen (TN) and phosphorus (TP) at a spatial resolution for the Wen-Rui Tang River (WRTR) watershed, which is a typically urban-rural transitional area in east coastal region of China. A comprehensive GIS database of 26 in-house built environmental variables was adopted to build the predictive models of TN and TP in open waters over the watershed. The performances of the RF regression models were evaluated in comparison with in-situ measurements, and the results indicated the ability of RF regression models to accurately predict the spatiotemporal distribution of N and P concentration in rivers. Charactering the explanatory variable importance measures in the calibrated RF regression model defined the most significant variables impacting N and P contaminations in open waters across the urban-rural transitional area, and the results showed that these variables are aquaculture, direct domestic sewage, industrial wastewater discharges and the changing meteorological variables. Besides, mapping of the TN and TP concentrations across the continuous river at high spatiotemporal resolution (daily, 1 km × 1 km) in this study were informative. The results in this study provided the valuable data to various different stakeholders for managing water quality and pollution control where similar regions with rapid urbanization and a lack of water quality monitoring datasets.

Triple burden of malnutrition among Malaysian children aged 6 months to 12 years: current findings from SEANUTS II Malaysia.

This paper aims to report South East Asian Nutrition Surveys (SEANUTS) II Malaysia data on nutritional status, dietary intake and nutritional biomarkers of children aged 6 months to 12 years. Cross-sectional survey conducted in 2019-2020. Multistage cluster sampling conducted in Central, Northern, Southern and East Coast regions of Peninsular Malaysia. 2989 children aged 0·5-12·9 years. Prevalences of stunting, thinness, overweight and obesity among children aged 0·5-12·9 years were 8·9 %, 6·7 %, 9·2 % and 8·8 %, respectively. Among children below 5 years old, 11·4 % were underweight, 13·8 % had stunting and 6·2 % had wasting. Data on nutritional biomarkers showed that a small proportion of children aged 4-12 years had Fe (2·9 %) and vitamin A deficiencies (3·1 %). Prevalence of anaemia was distinctly different between children below 4 years old (40·3 %) and those aged 4 years and above (3·0 %). One-fourth of children (25·1 %) had vitamin D insufficiency, which was twice as prevalent in girls (35·2 % v. boys: 15·6 %). The majority of children did not meet the recommended dietary intake for Ca (79·4 %) and vitamin D (94·8 %). Data from SEANUTS II Malaysia confirmed that triple burden of malnutrition coexist among children in Peninsular Malaysia, with higher prevalence of overnutrition than undernutrition. Anaemia is highly prevalent among children below 4 years old, while vitamin D insufficiency is more prevalent among girls. Low intakes of dietary Ca and vitamin D are also of concern. These findings provide policymakers with useful and evidence-based data to formulate strategies that address the nutritional issues of Malaysian children.

Results from Multisite Implementation of Electronic Health Record Tools for Clinical Pre-Test Probability of Pulmonary Embolism in the Emergency Department

Introduction: Use of validated risk stratification tools for work up of suspected pulmonary embolism (PE) is an endorsed recommendation of the American Society of Hematology and the American College of Emergency Physicians. Due to variations in clinical practice, electronic health record (EHR) systems, and medical provider trainings, the use, documentation, and implementation of these tools vary widely. Current processes do not allow for electronic capture and quality reporting at most institutions. Methods: We sought to design and implement clinical pre-test probability (PTP) tools at three large healthcare institutions for use in emergency departments (ED). At each site, a hematologist partnered with ED physician leadership and local information technology experts to design and implement PTP tools in clinical workflows. Overall, 38 EDs (high volume tertiary EDs and smaller regional EDs) located in the United States along the East Coast and Midwest regions were involved. A major goal of implementation was integration into clinical workflow and automatic documentation. After design and implementation, awareness and education of the new EHR tool was distributed electronically to ED providers. After implementation, use of PTP tools was analyzed between September 12, 2022 and January 11, 2023. PTP use was examined as percent of visits for which patients underwent CT pulmonary angiography (CTPA). Results: Each institution chose the 3 tier Wells' Score for implementation while one site designed an integrated Wells'/PERC or YEARS score calculator. Two sites implemented the tool as an optional flowsheet and one site implemented the tool as mandatory parameters within the orders for PE imaging studies. The mandatory tool could be bypassed with prespecified selections or if a D-dimer existed within 48 hours . Complete details of the site-specific implementation are shown in Table 1. Over the 4-month evaluation timeframe, there was a total of 270,214 ED encounters. Uptake and utilization of the PTP tools are shown in Table 2. Use of PTP was highest at the site with forced PTP documentation which ranged from 49-53% of ordered CTPAs, compared to Site 2 where use was 2-3%, and Site 1 where use ranged from 1-3%. At Site 1, use of PTP increased slightly over the study period with signs that PE yield on imaging was increasing as well (3.4% to 5.9%). At Site 2, PE yield on imaging was overall high (9-10%), and remained similar with similar use of PTP tools over the study period. Use of PTP and PE yield (6-8%) on imaging also remained similar throughout the study at Site 3. Conclusion: Forced use of PTP within the orders for CTPA led to the highest use of PTP (Site 3) but this did not result in meaningfully higher PE yield on CTPA compared to the other sites. PE yield at each site was at or above the 5% yield for PE on CTPA which has been previously reported. Given that PTP uptake was relatively stable over the measurement period at Site 2 and 3, this indicates the process had mostly stabilized and that other strategies are needed to improve uptake of PTP, reduce utilization of CTPA, and further increase yield on CTPA. Increasing PTP use and rising PE yield at Site 1 demonstrated ongoing potential for improvements past this study timeframe.

Personalized and Standard Treatment of Rituximab in Primary Membranous Nephropathy: A Prospective Multi-Center Trial in the East Coastal Region of China

Personalized and Standard Treatment of Rituximab in Primary Membranous Nephropathy: A Prospective Multi-Center Trial in the East Coastal Region of China

Dexamethasone dose and length of hospital stay among hospitalized COVID-19 patients: a retrospective cross-sectional study in Malaysia

Background: Dexamethasone is a potent corticosteroid that has been widely used as COVID-19 treatment. However, optimal dose of dexamethasone in COVID-19 treatment and how its different doses affect the patient outcomes is uncertain. This retrospective study aimed to evaluate the use of dexamethasone dose and length of hospital stay in COVID-19 patients admitted to two public hospitals in the east coast region of Malaysia between February 2020 and August 2021. Methods: This study included all hospitalized patients who were receiving dexamethasone during the study period. Dexamethasone doses were categorized into high dose (≥15 mg/day), moderate dose (7-14 mg/day) and low dose (≤6 mg/day). A multivariable logistic regression was conducted to evaluate the potential risk factors associated with length of hospital stays. Results: Of 119 patients enrolled, majority (40%) of patients received high dose dexamethasone, followed by 33% received moderate dose and 27% received low dose. Patients who received high doses were associated with extended hospital stays of 4-5 days and more frequently required mechanical ventilation. Multivariable logistic regression showed that elderly (OR=1.03; 95% CI=1.00-1.06, p=0.001) and severe stage of COVID-19 (stage 4-stage 5) upon hospital admission (OR=2.79; 95% CI=1.17-6.68, p=0.021) increased the risk of prolonged hospital stay. Conclusions: COVID-19 patients treated with high and moderate doses of dexamethasone were associated with longer hospital stay and required mechanical ventilation compared to those on low doses. Future studies are needed to provide more evidence on benefits of low dexamethasone dose in COVID-19 patients.

Stunting and Its Associated Factors among Children Below 5 Years Old on the East Coast of Peninsular Malaysia: Evidence from the National Health and Morbidity Survey

Background: Child malnutrition problems still occur in Malaysia, particularly stunting. This study aimed to determine the proportion of stunting among children below 5 years old and investigate the factors associated with stunting on the East Coast of Peninsular Malaysia. Methods: This study utilised data from the 2016 National Health and Morbidity Survey (NHMS). Multiple logistic regression was used to determine the factors associated with malnutrition among non-stunted and stunted children. Results: The proportion of stunting among children below 5 years old in this East Coast region was 26.2%. When divided by state, Kelantan had the highest proportion of stunting, followed by Pahang and Terengganu, at 28.8%, 26.2% and 23.4%, respectively. In this study, the factors associated with stunting were children aged 24 months old–59 months old (adjusted odds ratio [aOR]: 1.52; 95% CI: 1.26, 1.83; P < 0.001), male children (aOR: 1.47; 95% CI: 1.23, 1.76; P < 0.001), Orang Asli children (aOR: 2.84; 95% CI: 1.86, 4.32; P < 0.001), children with low birth weight from 1,500 g to 2,499 g (aOR: 1.86; 95% CI: 1.36, 2.55; P < 0.001) and children from households that practice unsanitary waste disposal (aOR: 1.42; 95% CI: 1.16, 1.74; P = 0.001). Conclusion: Stunting among children under the age of 5 years old on the East Coast of Peninsular Malaysia remains a public health problem. To reduce the prevalence of stunting in this region, intervention programmes should be intensified. Emphasis should be placed on public health programmes that target the associated factors, such as dietary habits, Orang Asli children, low birth weight and unsanitary waste disposal.

Spatio-temporal evolution and the driving factors of municipal solid waste in Chinese different geographical regions between 2002 and 2020

Urbanization and economic development have contributed to the rapid and massive generation of municipal solid waste (MSW) and significant changes in spatial patterns, which are becoming a serious pollution problem. Previously, macroscopic studies on the driving factors of MSW have been widely conducted at the national level, but the exploration of the driving factors in different geographical regions on a regional scale has not received much attention in the previous literature. This study is based on China, spatial patterns were analyzed using spatial autocorrelation and movement of center of gravity, and time series clustering was used to explore temporal trends. Subsequently, Geodector was adopted to quantify the relationship between MSW generation and driving factors. The results of the study are as follows: 1) By analyzing the spatial pattern of MSW, this study found that MSW showed a spatial pattern of high in the southeast and low in the northwest during 2002–2020, and its separating line was the same as the Hu-line; the average center of gravity of MSW generation in the past 20 years was always located in Henan Province and shifted southward by 339.7 km. 2) The local spatial autocorrelation analysis results showed that the Low-Low clusters moved from southeast to northwest from 2002 to 2020, increasing to 20 cities. High-High clusters mainly appeared in the East Coast and South Coast regions, increasing from 8 to 17 cities in the last 20 years. 3) The analysis of driving factors by Geodetector revealed that Urbanization is the most critical dimension factor influencing MSW generation, with the strongest impact on the East Coast region. The next dimension is Economy, which has the most significant impact on MSW generation in the North West region. Energy is the third dimension that influences MSW generation, with the greatest impact on the North Coast region. The results of this study reveal trends in the spatial and temporal distribution of MSW in different geographic regions of China over the past 20 years and the impact of their driving factors, which can help the Chinese government take action to control MSW in a site-specific manner.

Factors associated with mobile medical clinic use: a retrospective cohort study

BackgroundMobile medical clinics have been used for decades to provide primary and preventive care to underserved populations. While several studies have examined their return on investment and impact on chronic disease management outcomes in the Mid-Atlantic and East Coast regions of the United States, little is known about the characteristics and clinical outcomes of adults who receive care aboard mobile clinics on the West Coast region. Guided by the Anderson Behavioral Model, this study describes the predisposing, enabling, and need factors associated with mobile medical clinic use among mobile medical clinic patients in Southern California and examines the relationship between mobile clinic utilization and presence and control of diabetes and hypertension.MethodsWe conducted a retrospective cohort study of 411 adults who received care in four mobile clinic locations in Southern California from January 1, 2018, to December 31, 2019. Data were collected from patient charts on predisposing (e.g., sex, race, age), enabling (e.g., insurance and housing status), and need (e.g., chronic illness) factors based on Andersen’s Behavioral Model. Zero-truncated negative binomial regression was used to examine the association of chronic illness (hypertension and diabetes) with number of clinic visits, accounting for potential confounding factors.ResultsOver the course of the 2-year study period, 411 patients made 1790 visits to the mobile medical clinic. The majority of patients were female (68%), Hispanic (78%), married (47%), with a mean age of 50 (SD = 11). Forty-four percent had hypertension and 29% had diabetes. Frequency of mobile clinic utilization was significantly associated with chronic illness. Patients with hypertension and diabetes had 1.22 and 1.61 times the rate of mobile medical clinic visit than those without those conditions, respectively (IRR = 1.61, 95% CI, 1.36–1.92; 1.22, 95% CI, 1.02–1.45).ConclusionsMobile clinics serve as an important system of health care delivery, especially for adults with uncontrolled diabetes and hypertension.

Factors Associated with Anxiety and its Self-Care Measures among Nursing Students During the Covid-19 Pandemic

Introduction: One of the rising mental health issues among university students during the COVID-19 pandemic is anxiety. As future healthcare front-liners, nursing students are expected to perform good self-care to deliver quality care to patients. The purpose of the present study is to examine the factors associated with anxiety and its’ self-care measures among nursing students. Methods: The study recruited over 200 students in the East Coast region of Malaysia and the online survey was conducted during the COVID-19 pandemic between December 2020 and January 2021. The questions were in 3 parts: Socio-demographic, Self-care assessment worksheet (SCAW), and Burns Anxiety Inventory. Descriptive statistics, correlational analysis, and multiple linear regression were used to answer the research aim. Results: The range of anxiety levels among the nursing students was from no anxiety (7.5%) to severe anxiety or panic (28.9%, 17.9%). Multiple linear regression analysis revealed two predictors associated with higher level of anxiety were the first-year nursing students (bb =10.90, CI=4.49, 17.30), and respondents who stated having fairly satisfied with the nursing program (bb =13.50, CI=5.10, 21.90). Among the self-care components, result revealed that higher levels of physical care throughout the semester predicted lower anxiety (bb =-0.85, CI=-1.328, -0.372, p<0.05). Conclusion: The study’s overall finding is that nursing students’ participation in self-care, particularly physical care, may help to lessen anxiety. Our findings are significant because self-care can complement psychiatric interventions for people with high levels of anxiety and is a significant contributor to mental well-being.

Factors Associated with the Intention to Use Online Food Delivery (OFD) Apps Among University Students: A Case of UiTM’s Students in The East Coast Region

Online Food Delivery (OFD) service is a process by which an order for food is put online and delivered to the customer at the designated location. It is an exciting new trend that is currently booming in the food and beverage industry in Malaysia. Individuals who are caught with tight schedules or heavy traffic tend to have little or no time to go out to get their foods, which includes university students. Normally, some university students might find it difficult to get their food since they are busy with their daily routine such as attending classes, sports and extracurricular activities on campus. That said, there are insufficient studies that focus on the trends and antecedents of OFD service among students. Thus, the aim of this study is to describe the preferred factors that are associated with the intention to use OFD apps among UiTM's students in the East Coast region, particularly regarding convenience, usefulness and mobility. Cluster sampling was used and data from 377 respondents were obtained through online survey questionnaires and were analysed using SPSS software. The results indicated that all the factors identified including convenience, usefulness and mobility are associated with the intention to use OFD apps among UiTM’s students in the East Coast region. The factor of mobility in terms of time is the most preferred factor that associated with the intention to use OFD apps among students. Finally, as recommendation, future research could explore more in terms of the influence and relationship between the factors and its effects towards the customers. Other than that, future research should use a wider and more varied sample size involving all students in Malaysia in order to have more generalized results.

Exploring COVID-19 Vaccines Hesitancy Among The Muslim Community of The East Coast Region in Malaysia

Exploring COVID-19 Vaccines Hesitancy Among The Muslim Community of The East Coast Region in Malaysia

Malay Traditional Metal Crafts in the East Coast Region of Malaysia: The Sustainability of Tangible Culture

Malay Traditional Metal Crafts in the East Coast Region of Malaysia: The Sustainability of Tangible Culture

Translation, Adaptation, and Validation of the Malay Version of the Barriers to Access to Care Questionnaire for Assessing the Barriers to Seeking Mental Health Care Among the Health Workforce in the East Coast Region of Peninsular Malaysia.

Background Mental health problems among the health workforce are a significant concern worldwide, including in Malaysia. Unfortunately, some health workforce may perceive various barriers or challenges that prevent them from seeking help. Identifying and addressing these barriers is crucial for enhancing mental health services and support. The Barriers to Access to Care Evaluation (BACE-3) questionnaire is a valuable tool that can be used for assessing these barriers among health workers. However, a validated Malay version is needed. Therefore, this study aims to translate, adapt, and validate the original version of Barriers to Access to Care Evaluation (BACE-3) into the Malay version (MBACE). Methods A rigorous process of translation and adaptation was followed to develop the Malay version of the BACE-3 questionnaire (MBACE). A cross-sectional study was conducted to assess the psychometric properties of the questionnaire, with purposive sampling employed to recruit 188 participants from various job categories, including doctors, nurses, pharmacists, and non-clinical staff, such as health assistants and clerks. The analysis was conducted using the R software version 4.2.2 (R Foundation, Vienna, Austria). Construct validity was determined using confirmatory factor analysis (CFA). To assess the convergent validity, internal consistency, and reliability of the instrument, measures such as the average variance extracted (AVE), composite reliability (CR), and Cronbach's alpha values were calculated. Results During the CFA process, two items with a factor loading less than 0.5 (items 15 and 16) were removed to improve the convergent validity and model fit. The CFA results revealed that the 2-factor model MBACE had good construct validity (root mean square error of approximation (RMSEA) = 0.053; comparative fit index (CFI) = 0.939; Tucker-Lewis fit index (TLI) = 0.934). The internal consistency was supported by Cronbach's alpha values ranging from 0.92 to 0.94 for the stigma factor and non-stigma factor. The average variance extracted (AVE) and composite reliability (CR) values further supported the questionnaire's reliability and convergent validity. Conclusion The translated and adapted 28-item MBACE questionnaire is a valid and reliable tool for assessing the barrier to seeking professional mental health care among the Malaysian health workforce. This instrument has the potential to aid in the development of targeted interventions to promote mental health help-seeking behavior and enhance the well-being of the Malaysian health workforce.

Ganoderma wilt – A Lethal Disease of Coconut in Tamil Nadu Research Accomplishments and Future Thrust

Ganoderma wilt or Thanjavur wilt disease is the most lethal one, is caused by the fungus Ganoderma lucidum (leys) Karst and it is of major limiting factor in coconut production in nine coastal districts of Tamil Nadu. The high alarming of the disease alerted the government to launch the Ganoderma wilt research in the state in the yesteryear. Subsequently, more than five decadal researches done on this disease that provides preliminary, applied and advanced results and outcomes that are crucial and fruitful in the disease management. The endemic nature of the disease is evident and it has been witnessed with the severe spread of the disease in the east coast region of Tamil Nadu after the attack of Gaja cyclone urges the research efforts to contain the disease. The disease incidence ranges from 6.5 % to 50% in Thanjavur district followed by Nagapattinam and Thiruvarur districts is continuously reminds the threat of the disease to the coconut farmers in this region. In this juncture, It is indispensable to highlight the significant works on documentation of disease incidence, isolation of pathogen , pathogenicity, virulence study, disease index formula development, early and rapid detection methods, epidemiology, pathophysiology, agronomical, cultural, biological chemical disease control methods ,integrated disease management strategy etc., .done ,in the past and it is necessarily a boon to the current research work. Obviously, the brief review will make a corner stone and open up new discussion on the most important aspects of the disease management. This necessitates and leads the new line of research coping with the future thrusts will helpful in combating the lethal disease in the post Gaja cyclone scenario in the state.

Comparative Metabolomics Analysis of Weedy Rice (Oryza spp.) across Peninsular Malaysia

Weedy rice (Oryza spp.) is a notorious weed that invades paddy fields and hampers the rice’s production and yield quality; thus, it has become a major problem for rice farmers worldwide. Weedy rice comprises a diverse morphology and phenotypic variation; however, the metabolome and chemical phenotypes of weedy rice grains have not been explored. Therefore, this study is aimed to investigate the metabolite profiles and chemical diversity of Malaysian weedy rice. Thirty-one biotypes of weedy rice grains were collected from selected rice granaries in different states of Peninsular Malaysia, including Selangor, Perak, Penang, Kedah, Perlis, Kelantan, and Terengganu. In addition to the weedy rice samples, four cultivated rice varieties (MR219, MR220, MR220 CL2, and MARDI Siraj 297) were subjected to nuclear magnetic resonance-based metabolomics. The PLS-DA and OPLS-DA models revealed a clear separation between the weedy rice and cultivated rice, which was contributed by the higher level of γ-aminobutyric acid (GABA), α-glucose, fumaric acid, and phenylalanine in the weedy rice, whilst valine, leucine, isoleucine, fatty acids, 2,3-butanediol, threonine, alanine, butyric acid, choline, γ-oryzanol, fructose, β-glucose, sucrose, ferulic acid, and formic acid were found dominant in the cultivated rice. Interestingly, the models also showed a separation between the weedy rice samples collected from the west coast and east coast regions of Peninsular Malaysia. The metabolites responsible for the separation, i.e., threonine, alanine, butyric acid, fructose, β-glucose, and formic acid, were found higher in the west coast samples, and the east coast samples were discriminated by higher levels of valine, leucine, isoleucine, fatty acids, 2,3-butanediol, choline, GABA, γ-oryzanol, α-glucose, sucrose, fumaric acid, ferulic acid, and phenylalanine. This study is the first to provide insights into the metabolite profiles and chemical phenotypes of Malaysian weedy rice that could be influenced by genotype and environmental conditions. The information on the weedy rice metabolome and omics data is important for further research on weed management and crop improvement.

Coagulation-flocculation treatment for batik effluent as a baseline study for the upcoming application of green coagulants/flocculants towards sustainable batik industry

The batik industry has been one of the main family businesses in most of the east-coast region of the Malaysian peninsula for many years. However, appropriate water treatment is still a major challenge for this industry. Stringent laws introduced by the Malaysian authorities and the intention to protect the environment are factors that drive researchers to search for suitable, appropriate, affordable and efficient treatment of batik wastewater. Treatment research on batik wastewater is still lacking and coagulation-flocculation treatment using alum was introduced and chosen as a stepping stone toward the selection of green coagulants. This study aimed to determine the best conditions for alum flocculation-coagulation using a standard jar test method. Four main factors were investigated: alum dosage (0.1–3.5 g/L), pH (4–11), settling time (0.5–24 h) and rapid mixing rate (100–300 rpm). Results obtained were further analysed statistically using SPSS software prior to determining the significant effect of variable changes. From this study, the best conditions for batik wastewater treatment using the flocculation-coagulation process were found to be at alum dosage of 1.5 g/L, pH 8, 4 h settling time and a rapid mixing rate of 100 rpm. Chemical oxygen demand (COD), turbidity, colour and total suspended solids (TSS) were removed by 70.7, 92.2, 88.4 and 100%, respectively, under these conditions. This study showed that batik wastewater can be treated by the coagulation-flocculation process using chemical means of alum. This indicates the need for forthcoming developments in natural-based-coagulant-flocculants toward the sustainability of the batik industry.

Knowledge, attitude and practice towards pelvic floor muscle training among childbearing women

This study aims to identify knowledge, attitude, and practice of pelvic floor muscle training (PFMT) and to identify the prevalence of urinary incontinence. The method used was a cross-sectional study. Self-administered knowledge, attitude, and practice questionnaires were distributed among childbearing women attending Maternal & Child Health Clinics in the East Coast region of Malaysia. The findings revealed that most respondents (N = 896) had good or moderate knowledge (80.1%) and attitudes (77.3%) regarding PFMT but most of them (87.2%) still lacked practice. However, there was no association between urinary incontinence and PFMT practice. On the contrary, married women showed a higher risk of urinary incontinence. The practice of pelvic floor muscle training should be recommended and emphasized to childbearing women by healthcare professionals.

Assessing land suitability and spatial variability in lucerne yields across New Zealand

Lucerne (Medicago sativa L.) is a widely grown perennial legume worldwide which can provide high biomass and protein yields, biological N fixation, deep soil water extraction and a range of ecosystems services relevant to current and future agricultural systems. The potential to expand lucerne beyond its current cultivated areas in New Zealand, and its potential productivity across the country’s contrasting climate zones, are currently unknown. To gain such insights, we estimated land suitability and spatial distribution of lucerne above-ground biomass across New Zealand lands considering contrasting growth conditions (rain-fed or irrigated for different soils types) and two simulation methods of different complexity (process- and GIS-based approaches). This aimed to assess yield-estimate spatial patterns and sensitivity to model selection for a wide range of combinations of water supply (i.e. irrigation and soil water storage) across New Zealand climate zones. For example, highly suitable areas for lucerne cultivation, were estimated in ∼21 thousand km2 when considering the exclusion of steep slopes, poor soil drainage and excess annual rainfall. The two crop-yield models were applied in response to 30 years of daily historical (1971–2000) weather data downscaled at 5 km resolution on suitable areas. Simulated average lucerne yields ranged from ∼4.5–28 t dry matter/ha per year. Simulations showed a distinct spatial pattern of yield decline from north to south, mainly in response to decreasing temperatures. Temporally, water limited yields were up to 4-fold more variable than under irrigation, depending on the degree of drought stress across different years. Results also unveiled systematic spatial patterns of model uncertainty quantified as yield sensitivity to model selection. For instance, simulated yields were most sensitive to model selection (6–31% of total variability, Ti) within high abiotic-stress environments (e.g. low temperature and limited water supply). Overall, soil type selection accounted for most of yield variability (58–78% Ti), being particularly important in warmer environments with variable seasonal rainfall regimes (e.g. northern regions). As expected, water supply (i.e. rain-fed or irrigated systems) was relatively more impactful on yield (8–20% Ti) for limited rainfall areas, where crops are most drought prone (e.g. east coast and central southern regions). Long-term regional scale comparisons of annual lucerne yield, between 30-year simulated distributions and point-based observations from the AgYields database, helped identify hotspots of yield overestimation. Such insights are useful to guide future research on high yield gap areas (e.g. southern colder and drier locations) and highlight key areas for model improvement (e.g. representation of multiple biotic stresses). Overall, our results provide a first gridded-model assessment of lucerne suitability and yield at national scale and quantify the share of variability explained by key climatic, management and methodological components in spatial analysis studies. These insights can inform future modelling efforts and support agricultural planning that considers the expansion of lucerne and other perennial legumes.

UK long-term monitoring dataset: assessing factors affecting biomarkers commonly used in environmental programmes

Long-term programmes like the UK Clean Seas Environmental Monitoring Programme (CSEMP) rely on biological effects techniques, including biomarkers, to assess if chemical pollutants are affecting sentinel species in the aquatic environment. In this study, we have applied mixed and fixed effect linear models to the long-term CSEMP dataset (2005-2018) to evaluate if factors such as region (location), sex, age, gonadosomatic index (GSI) and condition factor (CF), contribute to the variability observed in the levels of 3 well established biomarkers (inhibition of acetylcholinesterase in muscle-AChE, induction of hepatic 7-ethoxyresorufin-O-deethylase-EROD and presence of biliary 1-hydroxypyrene-1-OH pyrene) used to monitor biological effects of contaminants in dab (Limanda limanda) around UK waters. Regional differences (location) were a significant explanatory variable for the 3 biomarkers. Substantial differences were found in regional average muscle AChE activity, overall indicating the East Coast regions as likely more impacted by acetylcholinesterase inhibitors (e.g. organophosphates and carbamates). We report for the first time that, while accounting for region, sex and gonadosomatic index are significant predictors of muscle acetylcholinesterase isoform in dab (R2 = 0.13-0.15), and therefore advise the future analysis of this marker should be done by sex when reporting for marine environmental purposes. Dab condition factor is also a significant predictor for both enzymatic markers (AChE and EROD) but not for 1-OH pyrene. Sex and age, and their interaction, were the strongest variables (R2 = 0.46) influencing hepatic EROD, showing that although overall females had higher hepatic EROD, male dab hepatic EROD increased with age. Correlations between the three biomarkers might assist in discerning types of prevalent regional contamination over the studied period. Our results highlight the factors to account for when assessing if environmental contamination is contributing to the responses of these 3 biomarkers in dab, and other flatfish species, used in marine environmental monitoring programmes.

Managing at source and at scale: The use of geomorphic river stories to support rehabilitation of Anthropocene riverscapes in the East Coast Region of Aotearoa New Zealand

Recently uplifted, highly erodible rocks, and recurrent high intensity storms, generate exceedingly high erosion and sedimentation rates in the East Coast Region (Tairāwhiti) of Aotearoa New Zealand. Despite the recent nature of the Anthropocene record in global terms (∼650 years since Māori arrival, 250 years of colonial impacts), human disturbance has profoundly altered evolutionary trajectories of river systems across the region. Here we document catchment-by-catchment variability in anthropogenic signature as geomorphic river stories for five catchments (Waiapu, Hikuwai, Waimatā, Waipaoa, Mōtū). We show how targeted, fit-for-purpose process-based rehabilitation programmes that manage at source and at scale are required to facilitate river recovery in each of these catchments. The largest rivers in the region, Waiapu and Waipaoa, comprise steep, highly dissected terrains that are subject to recurrent hillslope failures, including systemic shallow landslides, occasional deep-seated rotational slumps and earthflows. Localised sediment input from large (>10 ha) gully mass movement complexes overwhelms valley floors. Targeted revegetation programmes are required to reduce extreme sediment inputs from these sources. Although there are fewer gully complexes in the Hikuwai, multiple landslips supply vast volumes of fine-grained sediment that aggrade and are recurrently reworked along channel margins in lowland reaches. Waimatā has no gully complexes and a smaller number of landslips, but large areas are subject to sediment input from earthflows. The terrace-constrained flume-like nature of this system efficiently flushes materials ‘from the mountains to the sea’, recurrently reworking materials along channel banks in a similar manner to the lower Hikuwai. Systematic reforestation in the middle-upper catchment and revegetation of riparian corridors is required to reduce sedimentation rates in these catchments. In contrast, terraces buffer sediment delivery from hillslopes in the upper Mōtū catchment, where a bedrock gorge separates large sediment stores along upper reaches from the lower catchment. As reworking of valley floor sediments in response to bed incision and reworking (expansion) of channel margins is the primary contemporary sediment source in this system, bed control structures and revegetation of riparian corridors are required as part of targeted sediment management plans. We contend that geomorphic river stories provide a coherent platform for Anthropocene rehabilitation strategies that work with the character, behaviour and evolutionary trajectories of river systems. Although this generic lens can be applied anywhere in the world, we highlight particular meanings and implications in Aotearoa New Zealand where such thinking aligns directly with Māori values that respect the mana (authority), mauri (lifeforce) and ora (wellbeing) of each and every river.