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1.
BMC Genom Data ; 23(1): 22, 2022 Mar 28.
Article in English | MEDLINE | ID: covidwho-1793989

ABSTRACT

OBJECTIVES: American shad (Alosa sapidissima) is an important migratory fish under Alosinae and has long been valued for its economic, nutritional and cultural attributes. Overfishing and barriers across the passage made it vulnerable to sustain. To protect this valuable species, aquaculture action plans have been taken though there are no published genetic resources prevailing yet. Here, we reported the first de novo assembled and annotated transcriptome of A. sapidissima using blood and brain tissues. DATA DESCRIPTION: We generated 160,481 and 129,040 non-redundant transcripts from brain and blood tissues. The entire work strategy involved RNA extraction, library preparation, sequencing, de novo assembly, filtering, annotation and validation. Both coding and non-coding transcripts were annotated against Swissprot and Pfam datasets. Nearly, 83% coding transcripts were functionally assigned. Protein clustering with clupeiform and non-clupeiform taxa revealed ~ 82% coding transcripts retained the orthologue relationship which improved confidence over annotation procedure. This study will serve as a useful resource in future for the research community to elucidate molecular mechanisms for several key traits like migration which is fascinating in clupeiform shads.


Subject(s)
Conservation of Natural Resources , Transcriptome , Animals , Brain , Fisheries , Fishes/genetics , Transcriptome/genetics
2.
Front Public Health ; 10: 832904, 2022.
Article in English | MEDLINE | ID: covidwho-1785444

ABSTRACT

Under the impact of the coronavirus disease 2019 (COVID-19), green, low-carbon, and sustainable development has become a global consensus, and the world will enter a low-carbon and intelligent production mode faster. As the largest contributor to world economic growth and an active participant in global environmental governance, achieving green recovery and the high-quality economic and social development of China is of great significance to promote the global sustainable development strategy. The green transformation of resource-based cities in Western China is the key factor for China to build a high-quality modern economic system and promote long-term sustainable development. This article used the Super Efficiency Slack Based Model (Super-SBM) model and Malmquist index model of the Data Envelope Analysis (DEA) method to measure the static and dynamic green transformation efficiency of resource-based cities in Western China. It investigated the impact of different factors on the static and dynamic efficiency by constructing panel Tobit and dynamic panel models. The research found that the static efficiency of the green transformation of resource-based cities in Western China is low, and the development is uneven. The dynamic efficiency of green transformation showed a fluctuating upward trend first and an accelerating upward trend later. Different factors have different effects on green transformation efficiency. This article holds that the combination of post-epidemic economic recovery and green transformation is expected to promote the green transformation of western resource-based cities while injecting new vitality into China's green sustainable development in the post-COVID-19 era.


Subject(s)
COVID-19 , COVID-19/epidemiology , Carbon , China/epidemiology , Cities , Conservation of Natural Resources , Environmental Policy , Factor Analysis, Statistical , Humans
3.
EMBO Rep ; 23(2): e53973, 2022 02 03.
Article in English | MEDLINE | ID: covidwho-1780310

ABSTRACT

The upcoming UN Biodiversity Conference should address shortfalls of Access and Benefit Sharing systems inspired by the Nagoya Protocol to help improve sustainable use of biodiversity and equitable benefit sharing.


Subject(s)
Biodiversity , Conservation of Natural Resources
4.
Front Public Health ; 10: 824202, 2022.
Article in English | MEDLINE | ID: covidwho-1776021

ABSTRACT

This paper offers an evaluation index system of agricultural green development level based on the Rural Vitalization Strategy. The evaluation index system includes four dimensions: agricultural development, ecological resource protection, environment-friendly, and industrial extension and integration. Then, the paper calculates the level of agricultural green development in the three provinces of Northeast China using the entropy-gray correlation method from 2009 to 2019. The calculation results show that between 2009 and 2019, the level of agricultural green development in the three northeastern provinces of China fluctuates and increases, and there is some variation between them: in terms of the overall level of agricultural green development Heilongjiang Province > Liaoning Province > Jilin Province, in terms of the average change speed of agricultural green development level, Heilongjiang Province > Liaoning Province > Jilin Province; in terms of each dimension, the average level of correlation degree of agricultural development dimension is Liaoning Province > Heilongjiang Province > Jilin Province, the average level of correlation degree of ecological resource protection dimension is Heilongjiang Province > Jilin Province > Liaoning Province, the average level of correlation degree of environment-friendly dimension is Heilongjiang Province > Jilin Province > Liaoning Province, and the average level of correlation degree of industrial extension and integration is Liaoning Province > Heilongjiang Province > Jilin Province. Finally, the basis of the calculation results, combined with the actual situation of agricultural development in the three provinces, the countermeasures, and suggestions for promoting the green development of agriculture are put forward. Specifically, it includes the establishment of an evaluation system for agricultural green development; strengthening the protection of agricultural ecological resources; increasing rural environmental governance; promoting the integrated development of rural tertiary industries; vigorously supporting agricultural scientific and technological innovation; and strengthening regional cooperation and other suggestions.


Subject(s)
Agriculture , Conservation of Natural Resources , Sustainable Development , China , Environmental Policy , Humans
5.
Front Public Health ; 9: 743087, 2021.
Article in English | MEDLINE | ID: covidwho-1775903

ABSTRACT

Background: With the development of the social economy, air pollution has resulted in increased social costs. Medical costs and health issues due to air pollution are important aspects of environmental governance in various countries. Methods: This study uses daily air pollution monitoring data from 122 cities in China to empirically investigate the impact of air pollution on residents' medical expenses using the Heckman two-stage and instrumental variable methods, matching data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) survey. Results: The study found that poor air quality, measured by the air quality index (AQI), significantly increased the probability of chronic lung disease, heart disease, and self-rated poor health. Additionally, the AQI (with an effect of 4.51%) significantly impacted health-seeking behavior and medical expenses. The medical expenditure effects of mild, moderate, severe, and serious pollution days were 3.27, 7.21, 8.62, and 42.66%, respectively. Conclusion: In the long run, residents' health in areas with a higher air pollution index, indicating poor air quality, is negatively impacted. The more extreme the pollution, the higher the probability of residents' medical treatment and the subsequent increase in medical expenses. Group and regional heterogeneity also play a role in the impact of air pollution on medical expenses. Compared with the existing literature, this study is based on individuals aged 15 years and above and produces reliable research conclusions.


Subject(s)
Air Pollution , Adolescent , Air Pollution/analysis , China , Cities , Conservation of Natural Resources , Environmental Policy , Humans , Longitudinal Studies
6.
PLoS One ; 17(3): e0266178, 2022.
Article in English | MEDLINE | ID: covidwho-1765544

ABSTRACT

Much concern about tropical deforestation focuses on oil palm plantations, but their impacts remain poorly quantified. Using nation-wide interpretation of satellite imagery, and sample-based error calibration, we estimated the impact of large-scale (industrial) and smallholder oil palm plantations on natural old-growth ("primary") forests from 2001 to 2019 in Indonesia, the world's largest palm oil producer. Over nineteen years, the area mapped under oil palm doubled, reaching 16.24 Mha in 2019 (64% industrial; 36% smallholder), more than the official estimates of 14.72 Mha. The forest area declined by 11% (9.79 Mha), including 32% (3.09 Mha) ultimately converted into oil palm, and 29% (2.85 Mha) cleared and converted in the same year. Industrial plantations replaced more forest than detected smallholder plantings (2.13 Mha vs 0.72 Mha). New plantations peaked in 2009 and 2012 and declined thereafter. Expansion of industrial plantations and forest loss were correlated with palm oil prices. A price decline of 1% was associated with a 1.08% decrease in new industrial plantations and with a 0.68% decrease of forest loss. Deforestation fell below pre-2004 levels in 2017-2019 providing an opportunity to focus on sustainable management. As the price of palm oil has doubled since the start of the COVID-19 pandemic, effective regulation is key to minimising future forest conversion.


Subject(s)
Arecaceae , COVID-19 , Agriculture , Conservation of Natural Resources , Forests , Humans , Indonesia , Palm Oil , Pandemics
7.
Int J Environ Res Public Health ; 19(5)2022 02 22.
Article in English | MEDLINE | ID: covidwho-1760558

ABSTRACT

The COVID-19 pandemic affected people all over the world, including the Czech Republic (CZ). In the CZ, a number of measures were applied in 2020 to reduce the contact between people and their mobility. This article dealt with the importance of forests during the pandemic. Data from 2019 and 2020 were compared. The qualitative data were obtained from two nationwide surveys, the first focused on forest attendance and forest fruit collection (about 1000 respondents per year), the second on the motivation to visit the forests (about 3700 respondents per year). The quantitative data were obtained on the regional level by analysing data from mobility counters. The impact of government restrictions was assessed. Findings: (1) there was a significant increase in the number of people who frequently visited the forest in 2020; (2) in 2020, the amount of households that collected forest fruits increased and was the highest for the monitored period; (3) the increased forest attendance significantly corresponded to the government restrictions. The analysis confirmed the great importance of forests for the citizens and, at the same time, the increased pressure on the forests' use-forest attendance and forest crops picking-(especially suburban ones) in times of COVID-19 restrictions.


Subject(s)
COVID-19 , COVID-19/epidemiology , Conservation of Natural Resources , Czech Republic/epidemiology , Forests , Humans , Pandemics , SARS-CoV-2 , Trees
8.
Int J Environ Res Public Health ; 19(5)2022 03 04.
Article in English | MEDLINE | ID: covidwho-1736925

ABSTRACT

The Calluna vulgaris L. that dominated coastal heathlands of Western Europe were for millennia managed by regular burning cycles for improved grazing. Most places in Norway this practice has, however, been neglected over the last 5-7 decades, resulting in accumulation of above ground biomass including degenerated Calluna and successional fire-prone species, e.g., native juniper (Juniperus communis) and exotic blacklisted Sitka spruce (Picea sitchensis). Today, in dry periods, the heathland represents a fire threat to the increasing number of homes in the wildland-urban interface (WUI), as exemplified by the June 2021 Sotra Island WUI fire. The fire burned 700 ha of encroached heathlands, destroyed three buildings, and threatened settlements. In the present study, the Sotra fire was investigated to understand the fire development and analyse possible risk reducing measures. Photographic material obtained during the fire, weather conditions prior to and during the fire, involved fire fuel, fire spread mechanisms, firefighting response, and possible consequences under slightly changed circumstances were analysed. Compared to previous fires in coastal Norway, the Sotra fire represents a step change in fire development including, e.g., pyrocumulus-like clouds, fire whirls, and fire spread 270 m across a fjord. Preventive measures based on the local context are analysed, including engaging voluntary communities to remove fire-prone fuel, e.g., juniper and Sitka, to create defensible space. Moreover, strategic fire breaks in the terrain, e.g., well-managed heathland strengthening existing fuel breaks, e.g., lakes, cultivated fields, naked rock, and roads, are recommended. Mechanical cutting is suggested as a short-term measure while fenceless grazing may represent a long-term solution to prevent regrowth. During a period of record high energy prices, this may provide free of charge firewood and make way for future local food production, in line with the UN Sustainable Development Goals, while reducing the fire risk.


Subject(s)
Fires , Juniperus , Wildfires , Biomass , Conservation of Natural Resources/methods
9.
PLoS One ; 17(1): e0262473, 2022.
Article in English | MEDLINE | ID: covidwho-1627804

ABSTRACT

Several studies have reported the relationship of deforestation with increased incidence of infectious diseases, mainly due to the deregulation caused in these environments. The purpose of this study was to answer the following questions: a) is increased loss of vegetation related to dengue cases in the Brazilian Cerrado? b) how do different regions of the tropical savanna biome present distinct patterns for total dengue cases and vegetation loss? c) what is the projection of a future scenario of deforestation and an increased number of dengue cases in 2030? Thus, this study aimed to assess the relationship between loss of native vegetation in the Cerrado and dengue infection. In this paper, we quantify the entire deforested area and dengue infection cases from 2001 to 2019. For data analyses, we used Poisson generalized linear model, descriptive statistics, cluster analysis, non-parametric statistics, and autoregressive integrated moving average (ARIMA) models to predict loss of vegetation and fever dengue cases for the next decade. Cluster analysis revealed the formation of four clusters among the states. Our results showed significant increases in loss of native vegetation in all states, with the exception of Piauí. As for dengue cases, there were increases in the states of Minas Gerais, São Paulo, and Mato Grosso. Based on projections for 2030, Minas Gerais will register about 4,000 dengue cases per 100,000 inhabitants, São Paulo 750 dengue cases per 100,000 inhabitants, and Mato Grosso 500 dengue cases per 100,000 inhabitants. To reduce these projections, Brazil will need to control deforestation and implement public health, environmental and social policies, requiring a joint effort from all spheres of society.


Subject(s)
Conservation of Natural Resources/trends , Dengue/etiology , Brazil/epidemiology , Conservation of Natural Resources/statistics & numerical data , Dengue/epidemiology , Dengue Virus/pathogenicity , Ecosystem , Environment , Humans , Incidence
11.
BMJ ; 375: n2747, 2021 12 09.
Article in English | MEDLINE | ID: covidwho-1566345
14.
J Immigr Minor Health ; 24(1): 18-30, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1525561

ABSTRACT

Coronavirus disease 2019 (COVID-19) disparities among vulnerable populations are of paramount concern that extend to vaccine administration. With recent uptick in infection rates, dominance of the delta variant, and authorization of a third booster shot, understanding the population-level vaccine coverage dynamics and underlying sociodemographic factors is critical for achieving equity in public health outcomes. This study aimed to characterize the scope of vaccine inequity in California counties through modeling the trends of vaccination using the Social Vulnerability Index (SVI). Overall SVI, its four themes, and 9228 data points of daily vaccination numbers from December 15, 2020, to May 23, 2021, across all 58 California counties were used to model the growth velocity and anticipated maximum proportion of population vaccinated, defined as having received at least one dose of vaccine. Based on the overall SVI, the vaccination coverage velocity was lower in counties in the high vulnerability category (v = 0.0346, 95% CI 0.0334, 0.0358) compared to moderate (v = 0.0396, 95% CI 0.0385, 0.0408) and low (v = 0.0414, 95% CI 0.0403, 0.0425) vulnerability categories. SVI Theme 3 (minority status and language) yielded the largest disparity in coverage velocity between low and high-vulnerable counties (v = 0.0423 versus v = 0.035, P < 0.001). Based on the current trajectory, while counties in low-vulnerability category of overall SVI are estimated to achieve a higher proportion of vaccinated individuals, our models yielded a higher asymptotic maximum for highly vulnerable counties of Theme 3 (K = 0.544, 95% CI 0.527, 0.561) compared to low-vulnerability counterparts (K = 0.441, 95% CI 0.432, 0.450). The largest disparity in asymptotic proportion vaccinated between the low and high-vulnerability categories was observed in Theme 2 describing the household composition and disability (K = 0.602, 95% CI 0.592, 0.612; versus K = 0.425, 95% CI 0.413, 0.436). Overall, the large initial disparities in vaccination rates by SVI status attenuated over time, particularly based on Theme 3 status which yielded a large decrease in cumulative vaccination rate ratio of low to high-vulnerability categories from 1.42 to 0.95 (P = 0.002). This study provides insight into the problem of COVID-19 vaccine disparity across California which can help promote equity during the current pandemic and guide the allocation of future vaccines such as COVID-19 booster shots.


Subject(s)
COVID-19 Vaccines , COVID-19 , California , Conservation of Natural Resources , Demography , Humans , SARS-CoV-2 , Social Vulnerability , Vaccination
15.
Sci Rep ; 11(1): 22427, 2021 11 17.
Article in English | MEDLINE | ID: covidwho-1521769

ABSTRACT

The United Nations' (UN) Sustainable Development Goals (SDGs) are heterogeneous and interdependent, comprising 169 targets and 231 indicators of sustainable development in such diverse areas as health, the environment, and human rights. Existing efforts to map relationships among SDGs are either theoretical investigations of sustainability concepts, or empirical analyses of development indicators and policy simulations. We present an alternative approach, which describes and quantifies the complex network of SDG interdependencies by applying computational methods to policy and scientific documents. Methods of Natural Language Processing are used to measure overlaps in international policy discourse around SDGs, as represented by the corpus of all existing UN progress reports about each goal (N = 85 reports). We then examine if SDG interdependencies emerging from UN discourse are reflected in patterns of integration and collaboration in SDG-related science, by analyzing data on all scientific articles addressing relevant SDGs in the past two decades (N = 779,901 articles). Results identify a strong discursive divide between environmental goals and all other SDGs, and unexpected interdependencies between SDGs in different areas. While UN discourse partially aligns with integration patterns in SDG-related science, important differences are also observed between priorities emerging in UN and global scientific discourse. We discuss implications and insights for scientific research and policy on sustainable development after COVID-19.


Subject(s)
Conservation of Natural Resources/methods , Natural Language Processing , Sustainable Development/trends , COVID-19 , Global Health , Goals , Human Rights , Humans , Public Policy/economics , Public Policy/trends , SARS-CoV-2 , Sustainable Development/economics , United Nations
16.
Nat Commun ; 12(1): 6492, 2021 11 11.
Article in English | MEDLINE | ID: covidwho-1514412

ABSTRACT

The COVID-19 pandemic caused unprecedented cancellations of fisheries and ecosystem-assessment surveys, resulting in a recession of observations needed for management and conservation globally. This unavoidable reduction of survey data poses challenges for informing biodiversity and ecosystem functioning, developing future stock assessments of harvested species, and providing strategic advice for ecosystem-based management. We present a diversified framework involving integration of monitoring data with empirical models and simulations to inform ecosystem status within the California Current Large Marine Ecosystem. We augment trawl observations collected from a limited fisheries survey with survey effort reduction simulations, use of seabird diets as indicators of fish abundance, and krill species distribution modeling trained on past observations. This diversified approach allows for evaluation of ecosystem status during data-poor situations, especially during the COVID-19 era. The challenges to ecosystem monitoring imposed by the pandemic may be overcome by preparing for unexpected effort reduction, linking disparate ecosystem indicators, and applying new species modeling techniques.


Subject(s)
COVID-19/epidemiology , Conservation of Natural Resources/methods , Fisheries/statistics & numerical data , SARS-CoV-2/pathogenicity , Animals , Biodiversity , COVID-19/transmission , COVID-19/virology , Databases, Factual , Ecosystem , Environmental Monitoring/methods , Fishes , Food Chain , Models, Statistical , SARS-CoV-2/isolation & purification
18.
Elife ; 102021 04 06.
Article in English | MEDLINE | ID: covidwho-1513075

ABSTRACT

Combining spatial and temporal data is helping researchers to understand how deforestation influences the risk of malaria.


Subject(s)
Conservation of Natural Resources , Malaria , Forests , Humans , Incidence , Laos , Malaria/epidemiology
19.
Int J Environ Res Public Health ; 18(21)2021 Oct 28.
Article in English | MEDLINE | ID: covidwho-1497261

ABSTRACT

The artificial light at night (ALAN) present in many cities and towns has a negative impact on numerous organisms that live alongside humans, including bats. Therefore, we investigated if the artificial illumination of the historic Wisloujscie Fortress in Gdansk, Poland (part of the Natura 2000 network), during nighttime events, which included an outdoor electronic dance music (EDM) festival, might be responsible for increased light pollution and the decline in recent years of the pond bat (Myotis dasycneme). An assessment of light pollution levels was made using the methods of geographical information system (GIS) and free-of-charge satellite remote sensing (SRS) technology. Moreover, this paper reviewed the most important approaches for environmental protection of bats in the context of ecological light pollution, including International, European, and Polish regulatory frameworks. The analysis of this interdisciplinary study confirmed the complexity of the problem and highlighted, too, the need for better control of artificial illumination in such sensitive areas. It also revealed that SRS was not the best light pollution assessment method for this particular case study due to several reasons listed in this paper. As a result, the authors' proposal for improvements also involved practical recommendations for devising suitable strategies for lighting research and practice in the Natura 2000 Wisloujscie Fortress site located adjacent to urban areas to reduce the potential negative impact of ALAN on bats and their natural habitats.


Subject(s)
Chiroptera , Animals , Conservation of Natural Resources , Ecosystem , Environmental Pollution , Humans , Lighting , Poland
20.
IEEE Pulse ; 12(5): 15-18, 2021.
Article in English | MEDLINE | ID: covidwho-1494331

ABSTRACT

Given the urgency of our climate change problem, a trip to the hospital can be more than just a bit disconcerting for what it reveals about waste. From disposable blood pressure cuffs and one-use plastic medical gowns to powerful air filtration systems that consume immense quantities of energy, waste seems rife. Hospitals might argue that many of these measures are necessary to tamp down hospital-acquired infections, and indeed the U.S. Occupational Safety and Health Administration (OSHA) has required that hospitals dial up their air purification systems to battle COVID-19.


Subject(s)
COVID-19 , Conservation of Energy Resources , Conservation of Natural Resources , Medical Waste , Filtration , Humans , Protective Clothing , SARS-CoV-2
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