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  • MDPI AG  (7)
  • Chen, Qiong  (7)
  • 1
    Online Resource
    Online Resource
    Climate Change, Carbon Peaks, and Carbon Neutralization: A Bibliometric Study from 2006 to 2023
    MDPI AG ; 2023
    In:  Sustainability Vol. 15, No. 7 ( 2023-03-24), p. 5723-
    Details
    In: Sustainability, MDPI AG, Vol. 15, No. 7 ( 2023-03-24), p. 5723-
    Abstract: Climate change poses a threat to the survival of the human race. Increased interest in climate change, carbon peaks, and carbon neutralization and rising recognition of the challenges inherent to highlighting this issue provides the opportunity to carry out a bibliometric study to identify what research can generate ideas regarding climate change, carbon peaks, and carbon neutralization. As expected, it may align with the dual goals of the Chinese government agenda in terms of a carbon peak and carbon neutralization in 2030 and 2060, respectively. The recent argument has induced calls for improved transparency and standardization in the approaches adopted to synthesize climate change, carbon peak, and carbon neutralization research. Nevertheless, key questions are still unanswered, namely, what are the key contributions that the research community has produced in relation to climate change, carbon peaks, and carbon neutralization? Have their contributions been inclined toward specific geographical areas, directions, and themes? As such, software tools for bibliometric analysis, VOSviewer, and Python were used to conduct a systematic quantitative analysis of the relevant literature on climate change, carbon peaks, and carbon neutralization. The results show that carbon peaks and carbon neutralization have received wide attention from academic scholars. In the meantime, China faces the unfolding challenges of economic, technological, and political factors that need to be addressed to achieve carbon peak and carbon neutralization. This study provides policy implications for achieving China’s emission reduction targets.
    Type of Medium: Online Resource
    ISSN: 2071-1050
    URL: Article
    DOI: 10.3390/su15075723
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2518383-7
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  • 2
    Online Resource
    Online Resource
    Identification of Candidate Genes and Regulatory Competitive Endogenous RNA (ceRNA) Networks Underlying Intramuscular Fat Content in Yorkshire Pigs with Extreme Fat Deposition Phenotypes
    MDPI AG ; 2022
    In:  International Journal of Molecular Sciences Vol. 23, No. 20 ( 2022-10-20), p. 12596-
    Details
    In: International Journal of Molecular Sciences, MDPI AG, Vol. 23, No. 20 ( 2022-10-20), p. 12596-
    Abstract: Intramuscular fat (IMF) content is vital for pork quality, serving an important role in economic performance in pig industry. Non-coding RNAs, with mRNAs, are involved in IMF deposition; however, their functions and regulatory mechanisms in porcine IMF remain elusive. This study assessed the whole transcriptome expression profiles of the Longissimus dorsi muscle of pigs with high (H) and low (L) IMF content to identify genes implicated in porcine IMF adipogenesis and their regulatory functions. Hundreds of differentially expressed RNAs were found to be involved in fatty acid metabolic processes, lipid metabolism, and fat cell differentiation. Furthermore, combing co-differential expression analyses, we constructed competing endogenous RNAs (ceRNA) regulatory networks, showing crosstalk among 30 lncRNAs and 61 mRNAs through 20 miRNAs, five circRNAs and 11 mRNAs through four miRNAs, and potential IMF deposition-related ceRNA subnetworks. Functional lncRNAs and circRNAs (such as MSTRG.12440.1, ENSSSCT00000066779, novel_circ_011355, novel_circ_011355) were found to act as ceRNAs of important lipid metabolism-related mRNAs (LEP, IP6K1, FFAR4, CEBPA, etc.) by sponging functional miRNAs (such as ssc-miR-196a, ssc-miR-200b, ssc-miR10391, miR486-y). These findings provide potential regulators and molecular regulatory networks that can be utilized for research on IMF traits in pigs, which would aid in marker-assisted selection to improve pork quality.
    Type of Medium: Online Resource
    ISSN: 1422-0067
    URL: Article
    DOI: 10.3390/ijms232012596
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2019364-6
    SSG: 12
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  • 3
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    What Is the Consensus from Multiple Conclusions of Future Crop Yield Changes Affected by Climate Change in China?
    MDPI AG ; 2020
    In:  International Journal of Environmental Research and Public Health Vol. 17, No. 24 ( 2020-12-10), p. 9241-
    Details
    In: International Journal of Environmental Research and Public Health, MDPI AG, Vol. 17, No. 24 ( 2020-12-10), p. 9241-
    Abstract: Many studies have shown that climate change has a significant impact on crop yield in China, while results have varied due to uncertain factors. This study has drawn a highly consistent consensus from the scientific evidence based on numerous existing studies. By a highly rational systematic review methodology, we obtained 737 result samples with the theme of climate change affecting China’s crop yields. Then, we used likelihood scale and trend analysis methods to quantify the consensus level and uncertainty interval of these samples. The results showed that: (i) The crop yield decrease in the second half of the 21st century will be greater than 5% of that in the first half. (ii) The crop most affected by climate change will be maize, with the decreased value exceeding −25% at the end of this century, followed by rice and wheat exceeding −10% and −5%. (iii) The positive impact of CO2 on crop yield will change by nearly 10%. Our conclusions clarify the consensus of the impact of future climate change on China’s crop yield, and this study helps exclude the differences and examine the policies and actions that China has taken and should take in response to climate change.
    Type of Medium: Online Resource
    ISSN: 1660-4601
    URL: Article
    DOI: 10.3390/ijerph17249241
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2175195-X
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  • 4
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    Forest Cover Change and the Effectiveness of Protected Areas in the Himalaya since 1998
    MDPI AG ; 2020
    In:  Sustainability Vol. 12, No. 15 ( 2020-07-30), p. 6123-
    Details
    In: Sustainability, MDPI AG, Vol. 12, No. 15 ( 2020-07-30), p. 6123-
    Abstract: Himalaya, a global biodiversity hotspot, has undergone considerable forest cover fluctuation in recent decades, and numerous protected areas (PAs) have been established to prohibit forest degradation there. However, the spatiotemporal characteristics of this forest cover change across the whole region are still unknown, as are the effectiveness of its PAs. Therefore, here, we first mapped the forest cover of Himalaya in 1998, 2008, and 2018 with high accuracy ( 〉 90%) using a random forest (RF) algorithm based on Google Earth Engine (GEE) platform. The propensity score matching (PSM) method was applied with eight control variables to balance the heterogeneity of land characteristics inside and outside PAs. The effectiveness of PAs in Himalaya was quantified based on matched samples. The results showed that the forest cover in Himalaya increased by 4983.65 km2 from 1998 to 2008, but decreased by 4732.71 km2 from 2008 to 2018. Further analysis revealed that deforestation and reforestation mainly occurred at the edge of forest tracts, with over 55% of forest fluctuation occurring below a 2000 m elevation. Forest cover changes in PAs of Himalaya were analyzed; these results indicated that about 56% of PAs had a decreasing trend from 1998 to 2018, including the Torsa (Ia PA), an area representative of the most natural conditions, which is strictly protected. Even so, as a whole, PAs in Himalaya played a positive role in halting deforestation.
    Type of Medium: Online Resource
    ISSN: 2071-1050
    URL: Article
    DOI: 10.3390/su12156123
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2518383-7
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  • 5
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    Game Change: A Critical Review of Applicable Collision Avoidance Rules between Traditional and Autonomous Ships
    MDPI AG ; 2022
    In:  Journal of Marine Science and Engineering Vol. 10, No. 11 ( 2022-11-04), p. 1655-
    Details
    In: Journal of Marine Science and Engineering, MDPI AG, Vol. 10, No. 11 ( 2022-11-04), p. 1655-
    Abstract: Since the rise of intelligent control and multi-sensor integration technology, the development of autonomous ships has been significantly growing over the last decade. This advancement has painted a picture of extreme change with a radical alteration of human factors and new operating models. Inherent with the development of such ships, some concerns regarding their safe operation and integration into the maritime regulatory framework arose. Although the introduction of autonomous vessels is not an impending factor, it is the future, and one day will come into application. The primary concern inherent in the development of autonomous ships is compliance with the current International Regulations for Preventing Collisions at Sea (COLREGS) 1972. This paper uses an interdisciplinary approach to examine autonomous vessel seaborne interactions. The results show that we should actively support the modernization of the maritime industry and integrate it with other autonomous industries in the world.
    Type of Medium: Online Resource
    ISSN: 2077-1312
    URL: Article
    DOI: 10.3390/jmse10111655
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2738390-8
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  • 6
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    A Critical Examination for Widespread Usage of Shipping Big Data Analytics in China
    MDPI AG ; 2022
    In:  Journal of Marine Science and Engineering Vol. 10, No. 12 ( 2022-12-16), p. 2009-
    Details
    In: Journal of Marine Science and Engineering, MDPI AG, Vol. 10, No. 12 ( 2022-12-16), p. 2009-
    Abstract: Big Data Analytics (BDA) provides valuable opportunities for the optimization of maritime shipping management and operations. This might have a significant and beneficial impact on the Chinese maritime industry, which has recently emerged as a prominent player on the global stage due to the fast development of its maritime infrastructures and economical opportunities. This paper introduces two-field research conducted by a web-based questionnaire survey and semi-structured interviews with a large number of stakeholders in the maritime sector. The analyses show the impact of the development of big data technologies as well as current obstacles which constrain their deployment in the global maritime sector. The paper finally suggests several directions for promoting the wide-scale utilization of BDA in the maritime industry.
    Type of Medium: Online Resource
    ISSN: 2077-1312
    URL: Article
    DOI: 10.3390/jmse10122009
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2738390-8
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  • 7
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    Global Navigation Satellite System-Based Retrieval of Precipitable Water Vapor and Its Relationship with Rainfall and Drought in Qinghai, China
    MDPI AG ; 2023
    In:  Atmosphere Vol. 14, No. 3 ( 2023-03-07), p. 517-
    Details
    In: Atmosphere, MDPI AG, Vol. 14, No. 3 ( 2023-03-07), p. 517-
    Abstract: Qinghai Province is situated deep in inland China, on the Qinghai-Tibet plateau, and it has unique climate change characteristics. Therefore, understanding the temporal and spatial distributions of water vapor in this region can be of great significance. The present study applied global navigation satellite system (GNSS) technology to retrieve precipitable water vapor (PWV) in Qinghai and analyzed its relationship with rainfall and drought. Firstly, radiosonde (RS) data is used to verify the precision of the surface pressure (P) and temperature (T) from the fifth-generation atmosphere reanalysis data set (ERA5) of the European Centre for Medium-Range Weather Forecasts (ECMWF), as well as the zenith troposphere delay (ZTD), calculated based on the data from continuously operating reference stations (CORS) in Qinghai. Secondly, a regional atmospheric weighted mean temperature (Tm) (QH-Tm) model was developed for Qinghai based on P, T, and relative humidity, as well as the consideration of the influence of seasonal changes in Tm. Finally, the PWV of each CORS in Qinghai was calculated using the GNSS-derived ZTD and ERA5-derived meteorological data, and its relationship with rainfall and drought was evaluated. The results show that the ERA5-derived P and T have high precision, and their average root mean square (RMS), mean absolute error (MAE) and bias were 1.06/0.85/0.01 hPa and 2.98/2.42/0.03 K, respectively. The RMS, MAE and bias of GNSS-derived ZTD were 13.2 mm, 10.3 mm and −1.8 mm, respectively. The theoretical error for PWV was 1.98 mm; compared with that of RS- and ERA5-derived PWV, the actual error was 2.69 mm and 2.16 mm, respectively. In addition, the changing trend of GNSS-derived PWV was consistent with that of rainfall events, and it closely and negatively correlated with the standardized precipitation evapotranspiration index. Therefore, the PWV retrieved from GNSS data in this study offers high precision and good feasibility for practical applications; thus, it can serve as a crucial tool for investigating water vapor distribution and climate change in Qinghai.
    Type of Medium: Online Resource
    ISSN: 2073-4433
    URL: Article
    DOI: 10.3390/atmos14030517
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2605928-9
    SSG: 23
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