Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Research on biochar via a comprehensive scientometric approach

Yuening Lia, Shanxue Jiangb, Ting Wang*a, Yingchao Lin*a and Hongjun Mao*a
aCenter for Urban Transport Emission Research, State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China. E-mail: wangting@nankai.edu.cn; dei@nankai.edu.cn; hongjun_mao@hotmail.com; Tel: +86-22-23504912
bBarrer Centre, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK

Received 3rd July 2018 , Accepted 30th July 2018

First published on 13th August 2018


Abstract

A comprehensive statistical study related to biochar was conducted by using the scientometric method. The publications are mainly in the form of articles (over 16[thin space (1/6-em)]000), accounting for 87.7% of the total, which demonstrates that researchers have great interest in this research field. Among these articles, 96.8% were written and published in English and came from 2655 different journals. The rate of increase in the annual number of publications was rapid from 2010 to 2017, and it was predicted that the cumulative number of articles concerning biochar will exceed 20[thin space (1/6-em)]000 by the year 2020. At least one article from 154 countries or regions has been published, and every continent except Antarctica has had articles published over the past 20 years period. The percentage of collaborative articles was 71.9% and the collaboration between the USA and China has been the most fruitful. In addition, the Chinese Academy of Sciences is the research institute with the most publications. Furthermore, over 60% of the articles were published as a result of the cooperation and connection between the Chinese Academy of Sciences and the University of Chinese Academy of Sciences. The article published in Nature had the highest citation numbers, while Environmental Science & Technology had the most articles (4) that were selected as the top 20 for the most-cited articles. The agriculture research category had the highest average citations among the top four categories (i.e., environmental sciences and ecology, agriculture, chemistry and engineering).


1. Introduction

Nowadays, environmental pollution and energy shortage are the two major global challenges in the world. According to WHO,1 about 3 million deaths per year are related to the outdoor air pollution. Besides, soil pollution can seriously damage the ecosystem and is harmful to human health.2 About 80.0% of global wastewater is released into the environment without treatment and polluted drinking water and poor sanitation conditions have led to 80 million deaths worldwide in 2012.3 Regarding the energy shortage, the primary energy consumption has been increasing continuously globally,4 and the global reserves of oil, gas and coal will be exhausted in 25, 27 and 97 years, respectively.5 In order to solve these problems, many research efforts involving various methods have been made, and among these, biochar has drawn significant attention. According to the International Biochar Initiative,6 biochar is defined as a solid material obtained from the thermochemical conversion of biomass in an oxygen-limited environment. Biochar, an alternative name for charcoal, is used widely in several areas, e.g., fuel energy. Biochar has many applications, which include solid biofuel,7–9 carbon sequestration,10 water or air pollutant adsorbents,11–14 catalysts,15–17 and soil amendments.18

With the development of science and technology, people living in this age (the big data era) are surrounded by an incredible amount of information and usually have much more and easier methods to get information than they did several decades before. Even though big data can provide convenience, it can also cause confusion. For example, there are plenty of journals publishing hundreds or even thousands of new papers every year concerning biochar. Traditional reviews mainly focus on the small specific field, so people cannot easily consider or judge a special research area from the macroscale. Fortunately, scientometric evaluations based on big data can make up for this shortage.19 For the reasons discussed above, biochar is a hot research topic that has been shown a lot of interest from researchers. Even though Coelho et al.20 used the scientometric approach to study the research status concerning macroalgal biomass as a source of biofuel feedstock, there is no scientometric paper about the entire biochar research area on the web of science. It is therefore urgent and necessary to provide a timely update, and the aim of this paper is to utilize a scientometric approach to provide a comprehensive statistical evaluation of the research on biochar published and indexed over the last two decades (from 1998 to 2017).

2. Materials and methods

The data concerning biochar were obtained from the database of the Web of Science Core Collection using the Science Citation Index Expanded (SCI-EXPANDED) on March 28th, 2018. The time range is from 1998 to 2017, and the search terms used in this paper were (“Charcoal*” OR “biochar*” OR “bio-char*”). According to the research results, the number of publications that met these search criteria was 18[thin space (1/6-em)]908. Then, the “Save to other file formats” option was selected, and full records of these publications were downloaded as .txt files with the Tab-delimited (Win, UTF-8) file format, then several software programs such as Microsoft Excel, SPSS, BibExcel, and Gephi, Originlab Pro 2017 etc. were used to analyze the obtained original data. Detailed data processing procedures were available elsewhere.19 In this paper, several major parts of these full records were studied, including document types, titles, languages, publication years, publishers, countries, keywords, citations, and research areas.

3. Results and discussion

3.1 Document types

These 18[thin space (1/6-em)]908 publications were divided into 12 document types, namely article, proceedings paper, review, meeting abstract, letter, editorial material, news item, correction, book chapter, reprint, book review and biographical-item. Due to the relatively small numbers, letters, editorial materials, news items and corrections were classified as ‘others’. As shown in Fig. 1, the main type of these publications was articles, accounting for 87.7% of the total. The second and third document types were proceedings and review papers, and the percentages of these two document types were 4.98% and 3.89%, respectively. The fourth and fifth document types were meeting abstracts and others, accounting for 1.73% and 1.72%, respectively.
image file: c8ra05689g-f1.tif
Fig. 1 Percentage distribution of document types.

The order of document types was similar to previous scientometric research in other research areas.21,22 Compared with other document types, articles could better reflect the progress of the biochar area, and it was also the dominant type of these 18[thin space (1/6-em)]908 publications; therefore, the following analysis is based on articles only.

3.2 Publishing languages

The distribution of publishing languages in these articles is shown in Fig. 2. The results demonstrated that 96.8% (16[thin space (1/6-em)]052) of the articles were written and published in English, followed by Portuguese with 1.01%. Other languages accounted for 2.16% (358) of the total articles. The results are consistent with most researchers' expectations, after all, most SCI journals are published in English. For this reason, language cannot be used as an indicator to judge the interests of different countries concerning biochar. However, it can be inferred that The Portuguese Republic and Brazil, which are two major Portuguese-speaking countries, had good performance in biochar research.
image file: c8ra05689g-f2.tif
Fig. 2 Number of publications in different languages.

3.3 Publishing trend

The publishing trend for articles is shown in Fig. 3. On the whole, over 16[thin space (1/6-em)]000 articles were published on the topic of biochar, which demonstrated that researchers had a great interest in this research field. From 1998 to 2003, the annual numbers of publications on this topic were similar, and about 400 articles were published every year. From 2005 to 2009, there was a slow increase in annual publications. However, from 2010 to 2017, there was an obvious increase in the annual number of publications, and the max annual publications number reached over 2200 in 2017. According solely to the publishing trend, before 2009, global researchers did not widely realize the importance of biochar, and their interest in biochar was limited. Under the global environmental pollution and energy shortage situation, it might be the various applications and relatively low cost of biochar that promoted its development. Besides, there was no increment plateau as shown in Fig. 3, which means that more articles might be published every year in the future. In order to better show the increment trend, the fitting method23 was used to calculate the relation between the cumulative number of publications and years (eqn (1) with R2 = 0.9923). According to the equation, the cumulative number of articles concerning biochar from 1998 to 2020 will exceed 20[thin space (1/6-em)]400. It should be pointed out that although the quadratic fitting method is commonly adopted by researchers to make predictions due to its simplicity, it has its limitations. Strictly speaking, it is not accurate from the perspective of data analysis because it involves a special kind of data analysis, namely time series data analysis. To be more specific, a further residual analysis often reveals autocorrelation of the residuals rather than normal distribution, the latter of which is usually an assumption of regression analysis.
 
Y = 41.02291 × X2 − 163959.62779 × X + 1.63829 × 108 (1)
where Y represents the cumulative number of publications, X represents years.

image file: c8ra05689g-f3.tif
Fig. 3 Number of publications per year and the cumulative number of publications on biochar from 1998 to 2017.

3.4 Publishing journals

The 16[thin space (1/6-em)]578 articles researched in this study came from 2655 different journals. However, considering the cumulative number of articles concerning biochar for each journal, 87.6% of the journals had less than 10 articles published during the past two decades. The information from the top 20 most publishing journals is summarized in Table 1. The total number of publications concerning biochar from these 20 journals was 3285, accounting for 19.8% of the total publications in the 20 years span. For these 20 journals, the average number of articles published on the topic of biochar was 164.3 over the past 20 years. As suggested by Table 1, the top three most common publishers were Elsevier, Springer and American Chemical Society (ACS), and Elsevier had the dominating number of journals compared with the other two publishers. The 20 journals spread across 4 countries, and the United Kingdom occupied first place, taking up 40.0%. Besides, all these four countries are developed countries, which possibly indicates that there is a long way for developing countries to create their top journals concerning biochar. As revealed by Table 1 and Fig. 4, Bioresource Technology had the most articles published (417) and its H-index (64) was also the highest, while the H-indexes of other journals were in total less than 60. Moreover, the total number of citations of Bioresource Technology (14[thin space (1/6-em)]117) was the highest. Nevertheless, in reference to the average number of citations per paper, Environmental Science & Technology occupied the first place, with the H-index being equal to 59. According to Fig. 4, the H-index had a good linear relation with an average number of citations per paper, with the Pearson correlation being significant at the 0.01 level and R2 being equal to 0.814. The number of publications per year for the top 20 most publishing journals is shown in Fig. 5. In summary, the publication trends for these 20 journals were similar to the cumulative number of publications shown in Fig. 3. However, for these 20 journals, there was a rapid increment from 2007, while the rapid increment of the total 2655 journals was from 2009. Therefore, these 20 most publishing journals could basically reflect the development trend of biochar research. Besides, the publications of four journals had a high rapid increment in the past three years, including Bioresource Technology, Chemosphere, Science of the Total Environment and Quaternary International.
Table 1 Top 20 most publishing journals
ID No. Journal name Article numbers Publisher Country
1 Bioresource Technology 417 Elsevier Netherlands
2 Holocene 282 Sagepub United Kingdom
3 Chemosphere 236 Elsevier United Kingdom
4 Science of the Total Environment 188 Elsevier Netherlands
5 Journal of Analytical and Applied Pyrolysis 184 Elsevier Netherlands
6 Environmental Science & Technology 176 ACS United States
7 Quaternary International 165 Elsevier United Kingdom
8 Journal of Archaeological Science 147 Elsevier United Kingdom
9 Environmental Science and Pollution Research 146 Springer Germany
10 Palaeogeography Palaeoclimatology Palaeoecology 138 Elsevier Netherlands
11 Vegetation History and Archaeobotany 132 Springer United States
12 Quaternary Science Reviews 127 Elsevier United Kingdom
13 Journal of Environmental Management 126 Elsevier United Kingdom
14 Environmental Pollution 121 Elsevier United Kingdom
15 Energy & Fuels 120 ACS United States
16 PLoS One 119 PLOS United States
17 Biomass & Bioenergy 118 Elsevier United Kingdom
18 Journal of Hazardous Materials 115 Elsevier Netherlands
19 Quaternary Research 115 Elsevier United States
20 Fuel 113 Elsevier United Kingdom



image file: c8ra05689g-f4.tif
Fig. 4 Total number of citations, average number of citations per paper, and H-index of the top 20 most publishing journals.

image file: c8ra05689g-f5.tif
Fig. 5 Number of publications per year for the top 20 most publishing journals.

3.5 Publishing countries/regions

Viewing these 16[thin space (1/6-em)]578 articles from the angle of publishing countries or regions, 154 countries or regions published at least one article on the topic of biochar during the past 20 years. As shown in Fig. 6, in general, the percentage of collaborative articles was 71.9%, which was much higher than that of independent articles. Further analysis found that the number of international collaborative articles was almost 1.5 times that of national collaborative articles. It was obviously seen from the situation that international cooperation was common and important in the biochar research area. In order to study the global articles distribution and country cooperation in detail, the global articles distribution and cooperation network map is shown in Fig. 7. It revealed that there were 38 countries or regions that published more than 100 articles in the 20 years span. Except for Antarctica, all the other continents had articles concerning biochar published during the 20 years period, which revealed that the biochar research is a hot research topic worldwide. According to Fig. 7, North America, East Asia, Western Europe, East South America and Oceania published more articles compared with other areas. It might be the larger energy consumption of these areas that caused the differences in research interests, which could have further led to the different publishing distributions. Among these counties or regions, the United States and China were the top two most publishing countries, and published 3625 and 2984 articles, respectively. The sum of articles for the United States and China accounted for 29.0% of the total articles. The green lines in Fig. 7 mean the cooperation between two countries or regions, and the width of the line means the cooperation times. As suggested by Fig. 7, the United States had the largest and most complicated cooperation net. Among these countries and regions, the USA had the most fruitful collaborations with China. The cooperation between the UK and USA, and between Germany and the USA occupied the second and third places, respectively.
image file: c8ra05689g-f6.tif
Fig. 6 Percentage distribution of cooperation.

image file: c8ra05689g-f7.tif
Fig. 7 Global article distribution and cooperation network map (countries or regions with collaborations of more than 50 times are connected by lines).

Because the USA and China were the top two most publishing countries, the growth trends for articles and citations per year in the USA and China from 1998 to 2017 were further investigated (Fig. 8). As for the growth trends of articles, the average numbers of articles per year were relatively lower for both countries during the 2002–2010 time period. The correlation between the USA and China for the growth trends of articles was negative from 1998 to 2003, while the correlation became positive since 2004. Generally, the USA had more articles published in most years, but China has undergone a rapid increment in the number of articles since 2010 and reached the highest number (802) in 2017. This progress was possibly due to more attention being directed toward environmental problems and increasing investments in scientific research.24 From the perspective of average citations per article, China was higher than the USA in 11 years during the 20 years span. The average number of citations per article for the USA (19.13) was higher than that of China (15.55) during the 20 years period. However, it did not mean that the USA had a greater percentage of high-quality articles because China published much more articles than the USA in 2017 and the articles published in 2017 had relatively lower citations due to the time.


image file: c8ra05689g-f8.tif
Fig. 8 The growth trends of articles and citations per year in the USA and China from 1998 to 2017.

3.6 Publishing institutes

The number of records containing publishing institutes was 16[thin space (1/6-em)]527. According to these records, as a whole, over 10[thin space (1/6-em)]000 institutes took part in the publication of articles on the topic of biochar, and 76 institutes contributed no less than 50 articles in the past 20 years span. As shown in Table 2, the Chinese Academy of Sciences published the most articles (554) among a huge number of research institutes. The United States Department of Agriculture-Agriculture Research Service (USDA-ARS) and Zhejiang University occupied the second and third places. The number of articles from the Chinese Academy of Sciences exceeded the sum from USDA-ARS and Zhejiang University. The total number of citations per institute, average number of citations per paper, and H-index of the top 20 most publishing research institutes are shown in Fig. 9. In terms of the H-index, the Chinese Academy of Sciences and USDA-ARS were both 51.0, the highest of the top 20 most publishing research institutes. However, regarding the average number of citations per paper (ANCPP) for these 20 institutes, Cornell University had a much better performance (83.7). The ANCPP for other institutes was no more than 55.0. Besides, Cornell University was the only research institute that the ANCPP was higher than the H-index, which means that the percentage of highly cited articles from Cornell University was higher.
Table 2 Top 20 most publishing research institutes
ID No. Research institute Article numbers Country
1 Chinese Academy of Sciences 554 China
2 USDA-ARS 296 USA
3 Zhejiang University 175 China
4 Spanish National Research Council 163 Spain
5 University of Florida 152 USA
6 Cornell University 127 USA
7 University of Sao Paulo 127 Brazil
8 University of Chinese Academy of Sciences 119 China
9 University of Illinois 115 USA
10 Kangwon National University 112 South Korea
11 Nanjing Agriculture University 108 China
12 University of Bern 105 Switzerland
13 The National Center for Scientific Research 95 France
14 University of Oxford 94 UK
15 The University of Queensland 94 Australia
16 The Australian National University 93 Australia
17 University of Minnesota 93 USA
18 The University of Edinburgh 91 UK
19 Federal University of Vicosa 90 Brazil
20 The University of Newcastle 88 Australia



image file: c8ra05689g-f9.tif
Fig. 9 Total number of citations per institute, average number of citations per paper, and H-index of the top 20 most publishing research institutes.

Over 60% of the articles were published as a result of the cooperation between at least two research institutes. Furthermore, 501 pairs of institutes took part in the publication of articles and published one or more articles together. Among these institutes, the connection between Chinese Academy of Sciences and University of Chinese Academy of Sciences was the strongest and they published 36 articles together. However, the cooperation times for other institutes were no more than 10. As suggested by Fig. 10, in summary, the cooperation among these research institutes was not strong, and the network graph is relatively simple and clear. Among the top 20 most publishing research institutes, Chinese Academy of Sciences and USDA-ARS ranked top two in terms of the cooperation times, and both had collaborations with 4 different research institutes. Interestingly, Chinese Academy of Sciences and USDA-ARS had good performances in publishing articles on the topic of biochar, but there was no cooperation between them. It is reasonable to infer that more studies will be published if the Chinese Academy of Sciences and USDA-ARS cooperate together in the future.


image file: c8ra05689g-f10.tif
Fig. 10 Research Institute collaboration network graph (Institutes whose collaborations exceeded 5 times are connected by lines. The size and the color of the circles represent the number of research institutes connected; a bigger and brighter circle means that more research institutes were connected with this institute. The width and color of the connecting line represent the connection times; a thicker and brighter line means more connections between two institutes. 1-Chinese Academy of Sciences; 2-United States Department of Agriculture-Agriculture Research Service; 3-Zhejiang University).

3.7 Most-cited papers

The top 20 most-cited articles on the topic of biochar during the past 20 years period are summarized in Table 3, and citations, journal name, research category and published year (shown in reference column in Table 3) were collected as well. It should be noted that the research categories in Table 3 are not mutually exclusive, and were the major research direction of one article. For instance, an article may have also involved materials analysis but the major aim or direction of the article was soil remediation. Hence, the research category of this article was also classified as soil remediation instead of materials. As revealed in Table 3, the biochar had a lot of applications and the research categories were also various, while the materials were the most studied. Besides, the citations number for the materials was the highest among the 9 research categories. From the perspective of the journal, it was obvious that the article published in Nature had the highest citation number, while Environmental Science & Technology had the most articles (4) that were selected as the top 20 most-cited articles.
Table 3 Top 20 most-cited articles
No. Citations Journal name Research category Reference
1 1973 Nature Material 25
2 863 Thrombosis and Haemostasis Medicine 26
3 706 Environmental Science & Technology Material 27
4 694 Soil Science Society of America Journal Material 28
5 693 Forest Ecology and Management Forestry 29
6 685 Energy Conversion and Management Energy 30
7 660 Plant and Soil Agriculture 31
8 611 Frontiers in Ecology and the Environment Energy 32
9 534 Nature Communications Geochemistry & geophysics 33
10 533 Australian Journal of Soil Research Soil remediation 34
11 527 Energy Conversion and Management Energy 35
12 524 Advances in Environmental Research Water treatment 36
13 516 Environmental Science & Technology Water treatment 37
14 451 Organic Geochemistry Geochemistry & geophysics 38
15 443 Plant and Soil Agriculture 39
16 438 Soil Biology & Biochemistry Soil remediation 40
17 438 Environmental Science & Technology Water treatment 41
18 431 Soil Biology & Biochemistry Soil biology 42
19 415 Plant and Soil Agriculture 43
20 413 Environmental Science & Technology Materials 44


3.8 Title analysis

As suggested by Fig. 11, for the occurrence frequency, “biochar” and “charcoal” occupied the first and second place, respectively. This was due to biochar and charcoal being the research terms and also the topics of this paper and was in agreement with the expectation. The third highest frequency word was “soil”, which indicated that research concerning soil was the most frequent subfield. This was reasonable because it was demonstrated that land degradation would have a great negative influence on the food security and crop yields worldwide.45 The reasons causing land degradation were various, including growing exhaustive crops, using too much chemical fertilizers and using improper agriculture practices.46,47 Biochar had some good characteristics, including being rich in nutrients, improving the nutrient utilization efficiency of crops, adjusting soil pH and removal of soil pollutants, etc.48–52 Due to these characteristics, biochar could improve the soil quality, thus the research concerning biochar and soil(s) were relatively hotter. The further analysis of these 2062 articles containing soil or soils revealed that “carbon” and “effects” were the first and second most used words, after soil(s) and biochar. Therefore, research concerning carbon and biochar effects were the most frequently studied in the soil subfield during the past 20 years. Besides, “activated”, “adsorption”, “removal” and “production” were another four common words appearing in the titles. It is possible that related researches were also hot subfields of biochar. In order to get a comprehensive analysis, the keyword analysis was also studied and showed similar results to Section 3.7 and 3.8. The information is given in detail in the ESI.
image file: c8ra05689g-f11.tif
Fig. 11 Word cloud generated from the top 500 titles based on frequency.

3.9 Research category analysis

In this section, the research categories discussed were defined by the Web of Science as shown in the SC column. There were 16[thin space (1/6-em)]572 articles having research categories classified by the Web of Science, and these articles came from 124 different research areas. The total number of appearances of these research categories was 27[thin space (1/6-em)]811, and every article had 1.68 categories on average. ESE (environmental sciences & ecology), AGR (agriculture), CHE (chemistry) and ENG (engineering) were the top four most common research categories and the only four categories that appeared over 2000 times. Besides, the total appearance time of these four research categories were 10[thin space (1/6-em)]652, which reached 38.30% of the total appearance times of entire articles. The numbers of articles and average citations per paper in the top four research categories every year from 1998 to 2017 were analyzed (Fig. 12). For these four research categories, in most of the years, there were more articles published than former years. Besides, the increment rate of ESE was the most rapid among these four categories. From the viewpoint of average citations per paper for these four categories, the trend was similar. The average number of citations per paper for ESE was higher than that of AGR before 2002, while the situation was the opposite after 2002. The average number of citations per paper for CHE was lower compared to ENG, and occupied fourth place among these four research categories. Further analysis found that some articles concerning soil and soil remediation were classified as agriculture by the Web of Science, and the serious land degradation situation discussed in Section 3.7 might explain the growth trend for agriculture articles.
image file: c8ra05689g-f12.tif
Fig. 12 Number of articles and average citations per paper in the top four research categories every year from 1998 to 2017.

4. Conclusion

In this article, a comprehensive statistical study was conducted based on the 18[thin space (1/6-em)]908 publications related to biochar by using the scientometric approach. Over 16[thin space (1/6-em)]000 articles were published on the topic of biochar, accounting for 87.7% of the total publications, which demonstrated that researchers had a great interest in this research field. Besides, about 96.8% (16[thin space (1/6-em)]052) of the articles were written and published in English, followed by Portuguese with 1.01%. The increment speed of the annual number of publications was rapid from 2010 to 2017, and it was predicted that the cumulative number of articles concerning biochar will reach 20[thin space (1/6-em)]000 by 2020. The articles researched in this study came from 2655 different journals, and Bioresource Technology had the most related articles published, the highest H-index and the most total citations. Viewing these articles from the angle of publishing countries or regions, 154 countries or regions published at least one article, and all the continents except Antarctica had articles published during the 20 years period. The percentage of collaborative articles was 71.9%, and the cooperation between the USA and China was the most fruitful. Besides, the Chinese Academy of Sciences was the most publishing research institute. Also, over 60% of the articles were published as a result of institute cooperation, and the connection between the Chinese Academy of Sciences and the University of Chinese Academy of Sciences was the strongest. From the publishing journal perspective, the articles published in Nature had the highest number of citations, while Environmental Science & Technology had the most articles (4) that were selected as the top 20 most-cited articles. ESE, AGR, CHE and ENG were the top four most common research categories among the 124 categories. Furthermore, the AGR category had the highest number of average citations for these top four categories.

Conflicts of interest

The authors declare no conflict of interest.

Acknowledgements

This work was financially supported by Key Technologies R & D Program of Tianjin [16YFZCSF00410], Natural Science Foundation of Tianjin [15JCQNJC15200] and the Fundamental Research Funds for the Central Universities.

References

  1. World Health Organization, WHO releases country estimates on air pollution exposure and health impact, http://who.int/mediacentre/news/releases/2016/air-pollution-estimates/en/, (accessed June 2018).
  2. N. Rodríguez-Eugenio, M. McLaughlin and D. Pennock, Soil Pollution: a hidden reality, FAO, Rome, 2018 Search PubMed.
  3. WWAP (United Nations World Water Assessment Programme), The united nations world water development report 2017, UNESCO, Paris, 2017 Search PubMed.
  4. British Petroleum, BP Statistical Review of World Energy 2017, British Petroleum, (66), 1–52, http://www.bp.com/content/dam/bp/en/corporate/pdf/energy-economics/statistical-review-2017/bp-statistical-review-of-world-energy-2017-full-report.pdf, 2017.
  5. S. Shafiee and E. Topal, Energy Policy, 2009, 37, 181–189,  DOI:10.1016/j.enpol.2008.08.016.
  6. IBI (International Biochar Initiative), Standardized product definition and product testing guidelines for biochar that is used in Soil, International Biochar Initiative, Newyork, 2013, http://www.biochar-international.org/characterizationstandard, 22, p. 2013 Search PubMed.
  7. H. S. Kambo and A. Dutta, Renewable Sustainable Energy Rev., 2015, 45, 359–378,  DOI:10.1016/j.rser.2015.01.050.
  8. M. T. Reza, J. Andert, B. Wirth, D. Busch, J. Pielert, J. G. Lynam and J. Mumme, Applied Bioenergy, 2014, 1, 11–29,  DOI:10.2478/apbi-2014-0001.
  9. T. Wang, Y. Li, J. Zhang, J. Zhao, Y. Liu, L. Sun, B. Liu, H. Mao, Y. Lin, W. Li, M. Ju and F. Zhu, Waste Manag., 2018, 74, 260–266,  DOI:10.1016/j.wasman.2017.11.043.
  10. J. Lehmann, J. Gaunt and M. Rondon, Mitig. Adapt. Strat. Gl., 2006, 11, 403–427,  DOI:10.1007/s11027-005-9006-5.
  11. J. S. Cha, S. H. Park, S. C. Jung, C. Ryu, J. K. Jeon, M. C. Shin and Y. K. Park, J. Ind. Eng. Chem., 2016, 40, 1–15,  DOI:10.1016/j.jiec.2016.06.002.
  12. T. Shim, J. Yoo, C. Ryu, Y.-K. Park and J. Jung, Bioresour. Technol., 2015, 197, 85–90,  DOI:10.1016/j.biortech.2015.08.055.
  13. J. Y. Lee, S. H. Park, J.-K. Jeon, K.-S. Yoo, S.-S. Kim and Y.-K. Park, Korean J. Chem. Eng., 2011, 28, 1556–1560,  DOI:10.1007/s11814-011-0007-7.
  14. T. Wang, H. Sun, X. Ren, B. Li and H. Mao, Ecotoxicol. Environ. Saf., 2018, 148, 285–292,  DOI:10.1016/j.ecoenv.2017.10.039.
  15. Y. B. Jo, J. S. Cha, J. H. Ko, M. C. Shin, S. H. Park, J.-K. Jeon, S.-S. Kim and Y.-K. Park, Korean J. Chem. Eng., 2011, 28, 106–113,  DOI:10.1007/s11814-010-0283-7.
  16. A. M. Dehkhoda, A. H. West and N. Ellis, Appl. Catal., A, 2010, 382, 197–204,  DOI:10.1016/j.apcata.2010.04.051.
  17. Y. Shen, Renewable Sustainable Energy Rev., 2015, 43, 281–295,  DOI:10.1016/j.rser.2014.11.061.
  18. J. H. Yuan and R. K. Xu, Soil Use Manage., 2015, 27, 110–115,  DOI:10.1111/j.1475-2743.2010.00317.x.
  19. S. Jiang, K. F. L. Hagesteijn, J. Ni and B. P. Ladewig, RSC Adv., 2018, 8, 24036–24048,  10.1039/c8ra04686g.
  20. M. S. Coelho, F. G. Barbosa and M. d. R. A. Z. de Souza, Algal Res., 2014, 6, 132–138,  DOI:10.1016/j.algal.2014.11.001.
  21. O. Konur, Appl. Energy, 2011, 88, 3532–3540,  DOI:10.1016/j.apenergy.2010.12.059.
  22. T. Zheng, J. Wang, Q. Wang, C. Nie, Z. Shi, X. Wang and Z. Gao, Scientometrics, 2016, 109, 53–71,  DOI:10.1007/s11192-016-2004-4.
  23. S. Jiang, Y. Li and B. P. Ladewig, Sci. Total Environ., 2017, 595, 567–583,  DOI:10.1016/j.scitotenv.2017.03.235.
  24. R. Van Noorden, Nature, 2016, 534, 452,  DOI:10.1038/534452a.
  25. S. H. Joo, S. Choi, I. Oh, J. Kwak, Z. Liu, O. Terasaki and R. Ryoo, Nature, 2001, 412, 169–172,  DOI:10.1038/35084046.
  26. J. Van Ryn, J. Stangier, S. Haertter, K. H. Liesenfeld, W. Wienen, M. Feuring and A. Clemens, Thromb. Haemostasis, 2010, 103, 1116–1127,  DOI:10.1160/TH09-11-0758.
  27. M. Keiluweit, P. S. Nico, M. G. Johnson and M. Kleber, Environ. Sci. Technol., 2010, 44, 1247–1253,  DOI:10.1021/es9031419.
  28. B. Liang, J. Lehmann, D. Solomon, J. Kinyangi, J. Grossman, B. O'Neill, J. O. Skjemstad, J. Thies, F. J. Luizão, J. Petersen and E. G. Neves, Soil Sci. Soc. Am. J., 2006, 70, 1719,  DOI:10.2136/sssaj2005.0383.
  29. D. W. Johnson and P. Curtis, For. Ecol. Manage., 2001, 140, 227–238,  DOI:10.1016/S0378-1127(00)00282-6.
  30. A. Demirbaş, Energy Convers. Manage., 2001, 42, 1357–1378,  DOI:10.1016/S0196-8904(00)00137-0.
  31. J. Lehmann, J. P. Da Silva, C. Steiner, T. Nehls, W. Zech and B. Glaser, Plant Soil, 2003, 249, 343–357,  DOI:10.1023/A:1022833116184.
  32. J. Lehmann, Front. Ecol. Environ., 2007, 7, 381–387,  DOI:10.1890/060133.
  33. D. Woolf, J. E Amonette, F. Street-Perrott, J. Lehmann and S. Joseph, Nat. Commun., 2010, 1, 56,  DOI:10.1038/ncomms1053.
  34. K. Y. Chan, L. Van Zwieten, I. Meszaros, A. Downie and S. Joseph, Aust. J. Soil Res., 2007, 45, 629–634 CrossRef.
  35. A. Demirbaş, Energy Convers. Manage., 2000, 41, 633–646,  DOI:10.1016/S0196-8904(99)00130-2.
  36. M. Dakiky, M. Khamis, A. Manassra and M. Mer'eb, Adv. Environ. Res., 2002, 6, 533–540,  DOI:10.1016/S1093-0191(01)00079-X.
  37. B. Chen, D. Zhou and L. Zhu, Environ. Sci. Technol., 2008, 42, 5137–5143,  DOI:10.1021/es8002684.
  38. C.-H. Cheng, J. Lehmann, J. Thies, S. Burton and M. Engelhard, Org. Geochem., 2006, 37, 1477–1488,  DOI:10.1016/j.orggeochem.2006.06.022.
  39. L. Van Zwieten, S. Kimber, S. Morris, K. Y. Chan, A. Downie, J. Rust, S. Joseph and A. Cowie, Plant Soil, 2010, 327, 235–246,  DOI:10.1007/s11104-009-0050-x.
  40. A. Zimmerman, B. Gao and M.-Y. Ahn, Soil Biol. Biochem., 2011, 43, 1169–1179,  DOI:10.1016/j.soilbio.2011.02.005.
  41. X. Cao, L. Ma, B. Gao and W. Harris, Environ. Sci. Technol., 2009, 43, 3285–3291,  DOI:10.1021/es803092k.
  42. Y. Kuzyakov, I. Subbotina, H. Chen, I. Bogomolova and X. Xu, Soil Biol. Biochem., 2008, 41, 210–219,  DOI:10.1016/j.soilbio.2008.10.016.
  43. C. Steiner, W. Teixeira, J. Lehmann, T. Nehls, J. Luis Vasconcelos de Macêdo, W. Blum and W. Zech, Plant Soil, 2007, 291, 275–290,  DOI:10.1007/s11104-007-9193-9.
  44. A. Zimmerman, Environ. Sci. Technol., 2010, 44, 1295–1301,  DOI:10.1021/es903140c.
  45. J. Sadaf, G. A. Shah, K. Shahzad, N. Ali, M. Shahid, S. Ali, R. A. Hussain, Z. I. Ahmed, B. Traore, I. M. I. Ismail and M. I. Rashid, Sci. Total Environ., 2017, 607, 715–724,  DOI:10.1016/j.scitotenv.2017.06.178.
  46. J. C. Neff, A. R. Townsend, G. Gleixnerk, S. J. Lehman, J. Turnbull and W. D. Bowman, Nature, 2002, 419, 915–917,  DOI:10.1038/nature01136.
  47. L. Wu, H. Xu, L. Cao, T. Li, R. Li, Y. Feng, J. Chen and J. Ma, Evid. Based Complement. Alternat. Med., 2017, 3, 1–11,  DOI:10.1155/2017/5398542.
  48. L. Guo, R. Wang, G. Shen, J. Zhang, G. Meng and J. Zhang, J. Soil Sci. Plant Nutr., 2017, 17, 884–896,  DOI:10.4067/s0718-95162017000400004.
  49. F. R. Amin, Y. Huang, Y. He, R. Zhang, G. Liu and C. Chen, Clean Technol. Environ. Policy, 2016, 18, 1457–1473,  DOI:10.1007/s10098-016-1218-8.
  50. W. Widowati and A. Asnah, J. Agric. Sci., 2014, 6, 24–32,  DOI:10.5539/jas.v6n2p24.
  51. C. J. Barrow, Appl. Geogr., 2012, 34, 21–28,  DOI:10.1016/j.apgeog.2011.09.008.
  52. T. Wang, H. Sun, X. Ren, B. Li and H. Mao, Sci. Rep., 2017, 7, 1–10,  DOI:10.1038/s41598-017-12503-3.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c8ra05689g

This journal is © The Royal Society of Chemistry 2018