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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">esoil</journal-id><journal-title-group><journal-title xml:lang="ru">Бюллетень Почвенного института имени В.В. Докучаева</journal-title><trans-title-group xml:lang="en"><trans-title>Dokuchaev Soil Bulletin</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0136-1694</issn><issn pub-type="epub">2312-4202</issn><publisher><publisher-name>V.V. Dokuchaev Soil Science Institute</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.19047/0136-1694-2020-104-110-157</article-id><article-id custom-type="elpub" pub-id-type="custom">esoil-611</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Современные методы мониторинга ветровой эрозии почв</article-title><trans-title-group xml:lang="en"><trans-title>Modern techniques for monitoring wind soil erosion</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Романовская</surname><given-names>А. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Romanovskaya</surname><given-names>A. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>119017, Москва, Пыжевский пер, 7, стр. 2</p></bio><bio xml:lang="en"><p>7 Bld. 2 Pyzhevskiy per., Moscow 119017</p></bio><email xlink:type="simple">burmistrovaann13@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8739-5441</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Савин</surname><given-names>И. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Savin</surname><given-names>I. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>119017, Москва, Пыжевский пер, 7, стр. 2; 308015, Белгород, ул. Победы, 85</p></bio><bio xml:lang="en"><p>7 Bld. 2 Pyzhevskiy per., Moscow 119017; 85 Pobedy Str., Belgorod 308015</p></bio><email xlink:type="simple">savin_iyu@esoil.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФИЦ Почвенный институт им. В.В. Докучаева</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal Research Centre V.V. Dokuchaev Soil Science Institute</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФИЦ Почвенный институт им. В.В. Докучаева; Белгородский государственный национальный исследовательский университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal Research Centre V.V. Dokuchaev Soil Science Institute; Belgorod State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>02</day><month>12</month><year>2020</year></pub-date><volume>0</volume><issue>104</issue><fpage>110</fpage><lpage>157</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Романовская А.Ю., Савин И.Ю., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Романовская А.Ю., Савин И.Ю.</copyright-holder><copyright-holder xml:lang="en">Romanovskaya A.Y., Savin I.Y.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://bulletin.esoil.ru/jour/article/view/611">https://bulletin.esoil.ru/jour/article/view/611</self-uri><abstract><p>В статье приведен обзор научной литературы в области существующих методов мониторинга ветровой эрозии почв: визуальной оценки, микронивелирования, фотограмметрического, Cs137 и дистанционных методов с последующим моделированием. Приводится краткая характеристика каждого метода, преимущества и недостатки, а также условия и ограничения их применения. При выборе методанеобходимо учитывать условия проведения мониторинга, площадь рассматриваемой территории и масштаб проведения исследований, временные рамки, финансовые и трудовые ресурсы. Установлено, что наиболее актуальными, экономически оправданными и перспективными, особенно на больших территориях, являются методы дистанционного зондирования, позволяющие проводить мониторинг в различных масштабах, и не только оценивать эрозионную активность, но и прогнозировать ее, таким образом, предоставляя иинформацию для принятия верных, оперативных и своевременных хозяйственноэкономических решений, направленных как на борьбу с ветровой эрозией и устранение последствий, так и на организацию превентивных мер. Для повышения эффективности этих методов также необходимо создавать базы данных, расширять и накапливать почвенную информацию, которая позволяет верифицировать, уточнять, обрабатывать и калибровать полученные спутниковые данные. В литературе в подавляющем большинстве случаев речь идет о дешифрировании ветровой эрозии в пустынных и полупустынных зонах. Также практически отсутствуют исследования о переносе химических веществ с микрочастицами в результате ветровой эрозии. Как в России, так и за рубежом предпринимаются попытки моделирования эрозии почв, но качество моделей сильно ограниченно недостатком полевых данных, необходимых для их калибровки и верификации, которые можно получить наземными методами, пречисленными выше. Выявление эродированных почв в стране до сих пор осуществляется наземными методами. Однако полевые исследования могут проводиться только на очень ограниченной территории, на немногих ключевых участках, и их проведение затруднительно на активно используемых сельскохозяйственных землях.</p></abstract><trans-abstract xml:lang="en"><p>The article presents a scientific literature review in the field of modern methods of monitoring wind erosion of soils such as: visual indicators of erosion, erosion bridge, close-range photogrammetry, cesium-137 and remote sensing cover. The brief description of each method, advantages and disadvantages, conditions and limitations of their applicability are given. When choosing the method, it is necessary to take into account the monitoring conditions, the area of the territory under consideration and the scale of research, time frames, financial and labor resources. It has been established that the most relevant, economically justified and promising, especially on large territories, are the remote sensing methods, which allow monitoring on different scales, and not only estimating the erosion activity, but also predicting it, thus providing the parties concerned with the necessary information for making right, prompt and timely economic decisions, aimed both at combating wind erosion and elimination of its consequences, and for organizing preventive measures as well. To improve the effectiveness of these methods it is also necessary to create databases, expand and accumulate soil information that can help verify, refine, process and calibrate the satellite data obtained. In order to understand aeolian processes and dust particle transport mechanisms one should create integrated methods that include remote sensing data, meteorological data, on the basis of which the improved models and maps would be developed, and erosion processes would be predicted. The scientific literature is mostly devoted to the interpretation of wind erosion in arid and semi-arid zones. The possibility of satellite monitoring of soil erosion in arable fields remains poorly studied. There are also practically no research results available on the transport of chemicals with micro-particles due to wind erosion. Both in Russia and abroad the attempts are made in soil erosion modelling, but the quality of the models is very limited by the lack of field data required for their calibration and verification. Eroded soils in the country are still identified using ground-based methods. However, field studies can only be conducted in a very limited area, in a few key points, and as a matter of fact it is quite complicated to conduct field studies on actively used agricultural lands.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>дефляция почв</kwd><kwd>спутниковый мониторинг</kwd><kwd>деградация почв</kwd><kwd>методы исследования почв</kwd></kwd-group><kwd-group xml:lang="en"><kwd>soil deflation</kwd><kwd>satellite monitoring</kwd><kwd>soil degradation</kwd><kwd>soil research methods</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследования проведены при поддержке гранта РФФИ № 19-05-50063 и гранта РНФ № 20-67-46017</funding-statement><funding-statement xml:lang="en">The studies were carried out with the financial support of the Russian Foundation for Basic Research (RFBR) in the framework of the scientific project No. 19-05-50063 and of the Russian Science Foundation project No. 20-67-46017</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Андроников В.Л. Аэрокосмические методы изучения почв. М.: Колос, 1979. 280 с.</mixed-citation><mixed-citation xml:lang="en">Andronikov V.L., Aerokosmicheskie metody izucheniya pochv (Aerospace methods of soil investigation), Moscow: Kolos, 1979, 280 p.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Гендугов В.М., Глазунов Г.П. Ветровая эрозия почвы и запыление воздуха. М.: ФИЗМАТЛИТ, 2007. 240 с.</mixed-citation><mixed-citation xml:lang="en">Gendugov V.M., Glazunov G.P., Vetrovaya eroziya pochvy i zapylenie vozdukha (Wind erosion of soil and air dusting), Moscow: FIZMATLIT, 2007, 240 p.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Долгилевич М.И. К методике измерения глубины выдувания почв // Почвоведение. 1958. № 8. С. 124–126.</mixed-citation><mixed-citation xml:lang="en">Dolgilevich M.I., K metodike izmereniya glubiny vyduvaniya pochv (To methods of the soil blowing depth measurement), Pochvovedenie, 1958, No. 8, pp. 124-126.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Иванов А.Л., Кирюшин В.И., Молчанов Э.Н., Савин И.Ю., Столбовой В.С. Анализ земельной реформы и агропромышленного производства за четверть века. Почвенно-экологические, технологические институциональные и инфраструктурные аспекты модернизации. Земельная служба (доклад). М.: Почвенный институт им. В.В. Докучаева, 2016. 93 с.</mixed-citation><mixed-citation xml:lang="en">Ivanov A.L., Kiryushin V.I., Molchanov E.N., Savin I.Yu., Stolbovoi V.S., Analiz zemel'noi reformy i agropromyshlennogo proizvodstva za chetvert' veka. Pochvenno-ekologicheskie, tekhnologicheskie institutsional'nye i infrastrukturnye aspekty modernizatsii. Zemel'naya sluzhba (doklad) (Analysis of Land Reform and Agro-Industrial Production for a Quarter of a Century. Soil ecological, technological institutional and infrastructural aspects of modernization. Land service (report)), Moscow: V.V. Dokuchaev Soil Science Institute, 2016, 93 p.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Кузнецов М.С., Глазунов Г.П. Эрозия и охрана почв. М.: Издательство МГУ, 2020. 387 с.</mixed-citation><mixed-citation xml:lang="en">Kuznetsov M.S., Glazunov G.P., Eroziya i okhrana pochv (Erosion and Soil Protection), Moscow: Izdatel'stvo MGU, 2020, 387 p.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Ларионов Г.А. Эрозия и дефляция почв. М., 1993. 200 с.</mixed-citation><mixed-citation xml:lang="en">Larionov G.A., Eroziya i deflyatsiya pochv (Soil Erosion and Deflation), Moscow, 1993, 200 p.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Научные основы предотвращения деградации почв (земель) сельскохозяйственных угодий России и формирования систем воспроизводства их плодородия в адаптивно-ландшафтном земледелии (гл. ред. А.Л. Иванов). М.: Почвенный институт им. В.В. Докучаева, 2013. 756 с.</mixed-citation><mixed-citation xml:lang="en">Ivanov A.L. (Ed.), Nauchnye osnovy predotvrashcheniya degradatsii pochv (zemel') sel'skokhozyaistvennykh ugodii Rossii i formirovaniya sistem vosproizvodstva ikh plodorodiya v adaptivno-landshaftnom zemledelii (Scientific bases of prevention of degradation of soils (lands) of agricultural lands of Russia and formation of systems of reproduction of their fertility in adaptive-landscape agriculture), Moscow: V.V. Dokuchaev Soil Science Institute, 2013, 756 p.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Семенов О.Е. Методика векторных расчетов ветрового переноса песка и солей во время песчано-солевых бурь. Агрометеорология. Л., 1988. С. 209–224.</mixed-citation><mixed-citation xml:lang="en">Semenov O.E., Metodika vektornykh raschetov vetrovogo perenosa peska i solei vo vremya peschano-solevykh bur' (Methods of vectorial calculations of the wind transport of sand and salts during sand and salt storms), In: Agrometeorologiya (Agrometeorology), Leningrad, 1988, pp. 209-224.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Трегубов П.С., Дизенгоф Е.Г., Захарова Н.Н. Противоэрозионная и противодефляционная стойкость почв и пути ее повышения (обзорная информация). ВНИИТЭИСХ, 1980. 61 с.</mixed-citation><mixed-citation xml:lang="en">Tregubov P.S., Dizengof E.G., Zakharova N.N., Protivoerozionnaya i protivodeflyatsionnaya stoikost' pochv i puti ee povysheniya (obzornaya informatsiya) (Anti-Erosion and Anti-Deflation Resistance of Soils and Ways to Increase It (review information)), VNIITEISKh, 1980, 61 p.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Alewell C., Meusburger K., Brodbeck M., Banninger D. Methods to describe and predict soil erosion in mountain regions // Landsc. Urban Plan. 2008. Vol. 88. P. 46–53.</mixed-citation><mixed-citation xml:lang="en">Alewell C., Meusburger K., Brodbeck M., Banninger D., Methods to describe and predict soil erosion in mountain regions, Landsc. Urban Plan., 2008, Vol. 88, pp. 46-53.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Blaney D.G., Warrington G.E. Estimating soil erosion using an erosion bridge. WSDG-TP-00008 Report. USDA Forest Service. Watershed Development Group. Fort Collins, 1983.</mixed-citation><mixed-citation xml:lang="en">Blaney D.G., Warrington G.E., Estimating soil erosion using an erosion bridge, WSDG-TP-00008 Report, USDA Forest Service, Watershed Development Group, Fort Collins, 1983.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Borrelli P., Lugato E., Montanarella L., Panagos P. A New Assessment of Soil Loss Due to Wind Erosion in European Agricultural Soils Using a Quantitative Spatially Distributed Modelling Approach // Land Degradation &amp; Development. 2017. Vol. 28. P. 335–344. DOI: 10.1002/ldr.2588.</mixed-citation><mixed-citation xml:lang="en">Borrelli P., Lugato E., Montanarella L., Panagos P., A New Assessment of Soil Loss Due to Wind Erosion in European Agricultural Soils Using a Quantitative Spatially Distributed Modelling Approach, Land Degradation &amp; Development, 2017, Vol. 28, pp. 335-344, DOI: 10.1002/ldr.2588.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Chappell A., Webb N.P. Using albedo to reform wind erosion modelling, mapping and monitoring // Aeolian Research. 2016. Vol. 23. P. 63–78. DOI: 10.1016/j.aeolia.2016.09.006.</mixed-citation><mixed-citation xml:lang="en">Chappell A., Webb N.P., Using albedo to reform wind erosion modelling, mapping and monitoring, Aeolian Research, 2016, Vol. 23, pp. 63-78, DOI: 10.1016/j.aeolia.2016.09.006.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Clark R.D. Erosion condition classification system. Tech Note 346. Bureau of Land Management. Denver, Denver Service Center, 1980.</mixed-citation><mixed-citation xml:lang="en">Clark R.D., Erosion condition classification system. Tech Note 346, Bureau of Land Management, Denver, Denver Service Center, 1980.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Collado A.D, Chuvieco E., Camarasa A. Satellite remote sensing analysis to monitor desertification processes in the crop-rangeland boundary of Argentina // Journal of Arid Environments. 2002. Vol. 52. Iss. 1. P. 121–133. DOI: 10.1006/jare.2001.0980.</mixed-citation><mixed-citation xml:lang="en">Collado A.D, Chuvieco E., Camarasa A., Satellite remote sensing analysis to monitor desertification processes in the crop-rangeland boundary of Argentina, Journal of Arid Environments, 2002, Vol. 52, Iss. 1, pp. 121-133, DOI: 10.1006/jare.2001.0980.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Corwin D.L., Hopmans J., Rooij G.H. From field- to landscape-scale vadose zone processes: Scale issues, modeling, and monitoring // Vadose Zone Journal. 2006. Vol. 5. No. 1. P. 129–139.</mixed-citation><mixed-citation xml:lang="en">Corwin D.L., Hopmans J., Rooij G.H., From field- to landscape-scale vadose zone processes: Scale issues, modeling, and monitoring, Vadose Zone Journal, 2006, Vol. 5, No. 1, pp. 129-139.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Duniway M.C., Pfennigwerth A.A., Fick S.E., Nauman T.W., Belnap J., Barger N.N. Wind erosion and dust from US drylands: a review of causes, consequences, and solutions in a changing world // Ecosphere. 2019. Vol. 10. Iss. 3. e02650. DOI: 10.1002/ecs2.2650.</mixed-citation><mixed-citation xml:lang="en">Duniway M.C., Pfennigwerth A.A., Fick S.E., Nauman T.W., Belnap J., Barger N.N., Wind erosion and dust from US drylands: a review of causes, consequences, and solutions in a changing world, Ecosphere, 2019, Vol. 10, Iss. 3, e02650, DOI: 10.1002/ecs2.2650.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Fulajtar E., Mabit L., Renschler C.S., Lee Zhi Yi A. Use of 137Cs for soil erosion assessment. Food and Agriculture Organization of the United Nations. Rome, 2017. 64 p.</mixed-citation><mixed-citation xml:lang="en">Fulajtar E., Mabit L., Renschler C.S., Lee Zhi Yi A., Use of 137Cs for soil erosion assessment, Food and Agriculture Organization of the United Nations, Rome, 2017, 64 p.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Gelaro R. et al. The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) // Journal of Climate. 2017. Vol. 30. Iss. 14. P. 5419–5454. DOI: 10.1175/JCLI-D-16-0758.1.</mixed-citation><mixed-citation xml:lang="en">Gelaro R. et al., The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), Journal of Climate, 2017, Vol. 30, Iss. 14, pp. 5419-5454, DOI: 10.1175/JCLI-D-16-0758.1.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Gitas I.Z., Douros K., Minakou C., Silleos G.N., Karydas C.G. Multi-temporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model // EARSeL eProceedings. 2009. Vol. 8. No. 1. P. 40–52.</mixed-citation><mixed-citation xml:lang="en">Gitas I.Z., Douros K., Minakou C., Silleos G.N., Karydas C.G., Multitemporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model, EARSeL eProceeding, 2009, Vol. 8, No. 1, pp. 40-52.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Golosov V.N., Collins A.L., Dobrovolskaya N.G., Bazhenova O.I., Ryzhov Yu.V., Sidorchuk A.Yu. Soil loss on the arable lands of the forest-steppe and steppe zones of European Russia and Siberia during the period of intensive agriculture // Geoderma. 2021. Vol. 381. 114678. DOI: 10.1016/j.geoderma.2020.114678.</mixed-citation><mixed-citation xml:lang="en">Golosov V.N., Collins A.L., Dobrovolskaya N.G., Bazhenova O.I., Ryzhov Yu.V., Sidorchuk A.Yu., Soil loss on the arable lands of the foreststeppe and steppe zones of European Russia and Siberia during the period of intensive agriculture, Geoderma, 2021, Vol. 381, 114678, DOI: 10.1016/j.geoderma.2020.114678.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Hagen L.J. A wind erosion prediction system to meet user needs // Journal of soil and water conservation. 1991. Vol. 46. No. 2. P. 106–111.</mixed-citation><mixed-citation xml:lang="en">Hagen L.J., A wind erosion prediction system to meet user needs, Journal of soil and water conservation, 1991, Vol. 46, No. 2, pp. 106-111.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Jain S.K., Singh P., Seth S.M. Assessment of sedimentation in Bhakra Reservoir in the western Himalayan region using remotely sensed data // Hydrol. Sci. J. 2002. Vol. 47. No. 2. P. 203–212.</mixed-citation><mixed-citation xml:lang="en">Jain S.K., Singh P., Seth S.M., Assessment of sedimentation in Bhakra Reservoir in the western Himalayan region using remotely sensed data, Hydrol. Sci. J., 2002, Vol. 47, No. 2, pp. 203-212.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Jonga S.M., Paracchini M.L., Bertolo F., Folving S., Megier J., Roo A.P.J. Regional assessment of soil erosion using the distributed model SEMMED and remotely sensed data // Catena. 1999. Vol. 37. Iss. 3–4. P. 291–308.</mixed-citation><mixed-citation xml:lang="en">Jonga S.M., Paracchini M.L., Bertolo F., Folving S., Megier J., Roo A.P.J., Regional assessment of soil erosion using the distributed model SEMMED and remotely sensed data, Catena, 1999, Vol. 37, Iss. 3-4, pp. 291-308.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Karydas C.G., Panagos P., Gitas I.Z. A classification of water erosion models according to their geospatial characteristics // International Journal of Digital Earth. 2012. Vol. 7. P. 229–250. DOI: 10.1080/17538947.2012.671380.</mixed-citation><mixed-citation xml:lang="en">Karydas C.G., Panagos P., Gitas I.Z., A classification of water erosion models according to their geospatial characteristics, International Journal of Digital Earth, 2012, Vol. 7, pp. 229-250, DOI: 10.1080/17538947.2012.671380.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Klik A. Wind Erosion Assessment in Austria Using Wind Erosion Equation and GIS. Vienna: BOKU – University of Natural Resources and Applied Life Sciences, 2004. URL: https://www.researchgate.net/publication/228798188_Wind_erosion_assessment_in_Austria_using_wind_erosion_equation_and_GIS.</mixed-citation><mixed-citation xml:lang="en">Klik A., Wind Erosion Assessment in Austria Using Wind Erosion Equation and GIS, Vienna: BOKU - University of Natural Resources and Applied Life Sciences, 2004, URL: https://www.researchgate.net/publication/228798188 Wind erosion assessme nt in Austria using wind erosion equation and GIS.</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Kouchami-Sardoo I., Shirani H., Esfandiarpour-Boroujeni I., Besalatpour A.A., Hajabbasi M.A. Prediction of soil wind erodibility using a hybrid Genetic algorithm – Artificial neural network method // Catena. 2020. Vol. 187. 104315. DOI: 10.1016/j.catena.2019.104315.</mixed-citation><mixed-citation xml:lang="en">Kouchami-Sardoo I., Shirani H., Esfandiarpour-Boroujeni I., Besalatpour A.A., Hajabbasi M.A., Prediction of soil wind erodibility using a hybridGenetic algorithm - Artificial neural network method, Catena, 2020, Vol. 187, 104315, DOI: 10.1016/j.catena.2019.104315.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Kosmadakis I., Tsardaklis P., Ioannou K., Zaimes G. A novel fully automated soil erosion monitoring system // Food and Environment. Proc. of the 17th Intern. Conf. on Information and Communication Technologies in Agriculture. 2015. P. 80–84.</mixed-citation><mixed-citation xml:lang="en">Kosmadakis I., Tsardaklis P., Ioannou K., Zaimes G., A novel fully automated soil erosion monitoring system, Food and Environment. Proc. of the 17th Intern. Conf. on Information and Communication Technologies in Agriculture, 2015, pp. 80-84.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Leys J., McTainsh G., Shao Y. Wind Erosion Monitoring and Modeling Techniques in Australia. In: Sustaining the Global Farm. 2001. P. 940–950.</mixed-citation><mixed-citation xml:lang="en">Leys J., McTainsh G., Shao Y., Wind Erosion Monitoring and Modeling Techniques in Australia, In: Sustaining the Global Farm, D.E. Stott, R.H. Mohtar, G.C. Steinhardt (eds.), 2001, pp. 940-950.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Loughran R.J., Pennock D.J., Walling D.E. Spatial Distribution of Caesium-137. In: Handbook for the Assessment of Soil Erosion and Sedimentation Using Environmental Radionuclides / Zapata F. (Ed). 2002. P. 97–109.</mixed-citation><mixed-citation xml:lang="en">Loughran R.J., Pennock D.J., Walling D.E., Spatial Distribution of Caesium-137, In: Handbook for the Assessment of Soil Erosion and Sedimentation Using Environmental Radionuclides, Zapata F. (Ed), 2002, pp. 97-109.</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Mabit L., Benmansour M., Walling D.E. Comparative advantages and limitations of Fallout radionuclides (137Cs, 210Pb and 7Be) to assess soil erosion and sedimentation // Journal of Environmental Radioactivity. 2008а. Vol. 99. Iss. 12. P. 1799–1807.</mixed-citation><mixed-citation xml:lang="en">Mabit L., Benmansour M., Walling D.E., Comparative advantages and limitations of Fallout radionuclides (137Cs, 210Pb and 7Be) to assess soil erosion and sedimentation, Journal of Environmental Radioactivity, 2008, Vol. 99, Iss. 12, pp. 1799-1807.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Mabit L., Bernard C., Makhlouf M., Laverdière M.R. Spatial variability of erosion and soil organic matter content estimated from 137Cs measurements and geostatistics // Geoderma. 2008b. Vol. 145. P. 245–251.</mixed-citation><mixed-citation xml:lang="en">Mabit L., Bernard C., Makhlouf M., Laverdiere M.R., Spatial variability of erosion and soil organic matter content estimated from 137Cs measurements and geostatistics, Geoderma, 2008, Vol. 145, pp. 245-251.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Mabit L., Meusburger K., Iurian A.R., Owens P.N., Toloza A., Alewell C. Sampling soil and sediment depth profiles at a fine-resolution with a new device for determining physical, chemical and biological properties: the Fine Increment Soil Collector (FISC) // Journal of Soils and Sediments. 2014. Vol. 14 (3). P. 630–636.</mixed-citation><mixed-citation xml:lang="en">Mabit L., Meusburger K., Iurian A.R., Owens P.N., Toloza A., Alewell C., Sampling soil and sediment depth profiles at a fine-resolution with a new device for determining physical, chemical and biological properties: the Fine Increment Soil Collector (FISC), Journal of Soils and Sediments, 2014, Vol. 14 (3), pp. 630-636.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Mandakh N., Tsogtbaatar J., Dash D. et al. Spatial assessment of soil wind erosion using WEQ approach in Mongolia // J. Geogr. Sci. 2016. Vol. 26. P. 473–483. DOI: 10.1007/s11442-016-1280-5.</mixed-citation><mixed-citation xml:lang="en">Mandakh N., Tsogtbaatar J., Dash D. et al., Spatial assessment of soil wind erosion using WEQ approach in Mongolia, J. Geogr. Sci., 2016, Vol. 26, pp. 473-483, DOI: 10.1007/s11442-016-1280-5.</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Matthews N.A. Aerial and close-range photogrammetric technology: Providing resource documentation, interpretation, and preservation. Tech Note 428. Bureau of Land Management. National Operations Center. Denver, 2008.</mixed-citation><mixed-citation xml:lang="en">Matthews N.A., Aerial and close-range photogrammetric technology: Providing resource documentation, interpretation, and preservation, Tech Note 428, Bureau of Land Management, National Operations Center, Denver, 2008.</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Matthews N.A., Noble T.A., Breithaupt B.H. The application of photogrammetry, remote sensing and geographic information systems (GIS) to fossil resource management. In: Fossils from Federal Lands. New Mexico Museum of Natural History and Science. 2006. Bulletin 34. P. 119–131.</mixed-citation><mixed-citation xml:lang="en">Matthews N.A., Noble T.A., Breithaupt B.H., The application of photogrammetry, remote sensing and geographic information systems (GIS) to fossil resource management, In: Fossils from Federal Lands, Lucas S.G., J.A. Speilmann, P.M. Hester, J.P. Kenworthy, V.L. Santucci (Eds), 2006, Bulletin 34, New Mexico Museum of Natural History and Science, pp. 119-131.</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Minasny B., Malone B.P., McBratney A.B., Angers D.A., Arrouays D., Chambers A., Chaplot V., Chen Z.S., Cheng K. et al. Soil carbon 4 per mille // Geoderma. 2017. Vol. 292. P. 59–86. DOI: 10.1016/j.geoderma.2017.01.002.</mixed-citation><mixed-citation xml:lang="en">Minasny B., Malone B.P., McBratney A.B., Angers D.A., Arrouays D., Chambers A., Chaplot V., Chen Z.S., Cheng K. et al., Soil carbon 4 per mille, Geoderma, 2017, Vol. 292, pp. 59-86, DOI: 10.1016/j,geoderma,2017.01.002.</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Morgan R.P.C. Soil Erosion and Conservation. Oxford: Blackwell publishing, 2005. 304 p.</mixed-citation><mixed-citation xml:lang="en">Morgan R.P.C., Soil Erosion and Conservation, Oxford: Blackwell publishing, 2005, 304 p.</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Okin G.S. A new model of wind erosion in the presence of vegetation // J. Geophys. Res. 2008. Vol. 113. Iss. F2. DOI: 10.1029/2007JF000758.</mixed-citation><mixed-citation xml:lang="en">Okin G.S., A new model of wind erosion in the presence of vegetation, J. Geophys. Res., 2008, Vol. 113, Iss. F2, DOI: 10.1029/2007JF000758.</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Pandey A., Himanshu S.K., Mishra S.K., Singh V.P. Physically based soil erosion and sediment yield models revisited // CATENA. 2016. Vol. 147. P. 595–620. DOI: 10.1016/j.catena.2016.08.002.</mixed-citation><mixed-citation xml:lang="en">Pandey A., Himanshu S.K., Mishra S.K., Singh V.P., Physically based soil erosion and sediment yield models revisited, CATENA, 2016, Vol. 147, pp. 595-620, DOI: 10.1016/j.catena.2016.08.002.</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Siakeu J., Oguchi T. Soil erosion analysis and modelling: a review // Trans. Jpn. Geomorphol. 2000. Vol. 21. Iss. 4. P. 413–429.</mixed-citation><mixed-citation xml:lang="en">Siakeu J., Oguchi T., Soil erosion analysis and modelling: a review, Trans. Jpn. Geomorphol, 2000, Vol. 21, Iss. 4, pp. 413-429.</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Pellant M., Shaver P., Pyke D.A., Herrick J.E. Interpreting indicators of rangeland health, version 4. Tech Ref 1734-6. Bureau of Land Management. National Science and Technology Center, Denver, 2005. URL: http://www.blm.gov/nstc/library/techref.htm.</mixed-citation><mixed-citation xml:lang="en">Pellant M., Shaver P., Pyke D.A., Herrick J.E., Interpreting indicators of rangeland health, version 4. Tech Ref 1734-6, Bureau of Land Management, National Science and Technology Center, Denver, 2005, URL: http://www.blm.gov/nstc/library/techref.htm.</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Ritchie J.C., McCarty G.W. 137Cesium and soil carbon in a small agricultural watershed // Soil and Tillage Research. 2003. Vol. 69 (1–2). P. 45–51.</mixed-citation><mixed-citation xml:lang="en">Ritchie J.C., McCarty G.W., 137Cesium and soil carbon in a small agricultural watershed, Soil and Tillage Research, 2003, Vol. 69 (1-2), pp. 45-51.</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Sac M.M., Ugur A., Yener G., Ozden B. Estimates of soil erosion using cesium-137 tracer models // Environmental Monitoring and Assessment. No. 136 (1–3). P. 461–467.</mixed-citation><mixed-citation xml:lang="en">Sac M.M., Ugur A., Yener G., Ozden B., Estimates of soil erosion using cesium-137 tracer models, Environmental Monitoring and Assessment, No. 136 (1-3), pp. 461-467.</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Schmid T., Rodriguez-Rastrero M., Escribano P., Palacios-Orueta A., Ben-Dor E., Plaza A., Chabrillat S. Characterization of soil erosion indicators using hyperspectral data from a Mediterranean rainfed cultivated region // IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016. Vol. 9 (2). P. 845–860.</mixed-citation><mixed-citation xml:lang="en">Schmid T., Rodriguez-Rastrero M., Escribano P., Palacios-Orueta A., Ben-Dor E., Plaza A., Chabrillat S., Characterization of soil erosion indicators using hyperspectral data from a Mediterranean rainfed cultivated region, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, Vol. 9 (2), pp. 845-860.</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Sepuru T.K., Dube T. An appraisal on the progress of remote sensing applications in soil erosion mapping and monitoring // Remote Sensing Applications: Society and Environment. 2018. Vol. 9. P. 1–9. DOI: 10.1016/j.rsase.2017.10.005.</mixed-citation><mixed-citation xml:lang="en">Sepuru T.K., Dube T., An appraisal on the progress of remote sensing applications in soil erosion mapping and monitoring, Remote Sensing Applications: Society and Environment, 2018, Vol. 9, pp. 1-9, DOI: 10.1016/j.rsase.2017.10.005.</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Shakesby R.A. The soil erosion bridge: A device for micro‐profiling soil surfaces // Earth surface processes and landforms. 1993. Vol. 18. Iss. 9. P. 823–827. DOI: 10.1002/esp.3290180906.</mixed-citation><mixed-citation xml:lang="en">Shakesby R.A., The soil erosion bridge: A device for micro-profiling soil surfaces, Earth surface processes and landforms, 1993, Vol. 18, Iss. 9, pp. 823-827, DOI: 10.1002/esp.3290180906.</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Shrestha D.P. Guidelines for monitoring and assessment of wind erosion at site level. 2008. 47 p.</mixed-citation><mixed-citation xml:lang="en">Shrestha D.P., Guidelines for monitoring and assessment of wind erosion at site level, 2008, 47 p.</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Thiermann A., Sbresny J., Schäfer W. GIS in WEELS – Wind Erosion on Light Soils // GeoInformatics. 2002. No. 5. P. 30–33.</mixed-citation><mixed-citation xml:lang="en">Thiermann A., Sbresny J., Schafer W. GIS in WEELS - Wind Erosion on Light Soils, GeoInformatics, 2002, No. 5, pp. 30-33.</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Vrieling A., Rodrigues S.C., Bartholomeus H., Sterk G. Automatic identification of erosion gullies with ASTER imagery in the Brazilian Cerrados // Int. J. Remote. Sens. 2007. Vol. 28. Iss. 12. P. 2723–2738. DOI: 10.1080/01431160600857469.</mixed-citation><mixed-citation xml:lang="en">Vrieling A., Rodrigues S.C., Bartholomeus H., Sterk G., Automatic identification of erosion gullies with ASTER imagery in the Brazilian Cerrados, Int. J. Remote. Sens., 2007, Vol. 28, Iss. 12, pp. 2723-2738, DOI: 10.1080/01431160600857469.</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Vrieling A. Satellite remote sensing for water erosion assessment: a review // Catena. 2006. Vol. 65. Iss. 1. P. 2–18. DOI: 10.1016/j.catena.2005.10.005.</mixed-citation><mixed-citation xml:lang="en">Vrieling A., Satellite remote sensing for water erosion assessment: a review, Catena, 2006, Vol. 65, Iss. 1, pp. 2-18, DOI: 10.1016/j.catena.2005.10.005.</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Vrieling A., De Jong S.M., Sterk G., Rodrigues S.C. Timing of erosion and satellite data: a multi-resolution approach to soil erosion risk mapping // Int. J. Appl. Earth Obs. GeoInf. 2008. Vol. 10. Iss. 3. P. 267–281. DOI: 10.1016/j.jag.2007.10.009.</mixed-citation><mixed-citation xml:lang="en">Vrieling A., De Jong S.M., Sterk G., Rodrigues S.C., Timing of erosion and satellite data: a multi-resolution approach to soil erosion risk mapping, Int. J. Appl. Earth Obs. GeoInf., 2008, Vol. 10, Iss. 3, pp. 267-281, DOI: 10.1016/j.jag.2007.10.009.</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Webb N.P. et al. Enhancing Wind Erosion Monitoring and Assessment for U.S. Rangelands // Rangelands. 2017. Vol. 39. Iss. 3–4. P. 85–96. DOI: 10.1016/j.rala.2017.04.001.</mixed-citation><mixed-citation xml:lang="en">Webb N.P. et al., Enhancing Wind Erosion Monitoring and Assessment for U.S. Rangelands, Rangelands, 2017, Vol. 39, Iss. 3-4, pp. 85-96, DOI: 10.1016/j.rala.2017.04.001.</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Webb N.P. et al. Indicators and benchmarks for wind erosion monitoring, assessment and management // Ecological Indicators. 2020. Vol. 110. 105881. DOI: 10.1016/j.ecolind.2019.105881.</mixed-citation><mixed-citation xml:lang="en">Webb N.P. et al., Indicators and benchmarks for wind erosion monitoring, assessment and management, Ecological Indicators, 2020, Vol. 110, 105881, DOI: 10.1016/j.ecolind.2019.105881.</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Woodruff N.P., Siddoway F.H. A wind erosion equation // Soil Science Society of America Proceedings. 1965. Vol. 29. No. 5. P. 602–608.</mixed-citation><mixed-citation xml:lang="en">Woodruff N.P., Siddoway F.H., A wind erosion equation, Soil Science Society of America Proceedings, 1965, Vol. 29, No. 5, pp. 602-608.</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Ypsilantis W.G. Upland soil erosion monitoring and assessment: An overview. Tech Note 438. Bureau of Land Management. National Operations Center. Denver, 2011.</mixed-citation><mixed-citation xml:lang="en">Ypsilantis W.G., Upland soil erosion monitoring and assessment: An overview, Tech Note 438, Bureau of Land Management, National Operations Center, Denver, 2011.</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Zhidkin A.P., Shamshurina E.N., Golosov V.N., Komissarov M.A., Ivanova N.N., Ivanov M.M. Detailed study of post-Chernobyl Cs-137 redistribution in the soils of a small agricultural catchment (Tula region, Russia) // Journal of Environmental Radioactivity. 2020. Vol. 223–224. 106386. DOI: 10.1016/j.jenvrad.2020.106386.</mixed-citation><mixed-citation xml:lang="en">Zhidkin A.P., Shamshurina E.N., Golosov V.N., Komissarov M.A., Ivanova N.N., Ivanov M.M. Detailed study of post-Chernobyl Cs-137 redistribution in the soils of a small agricultural catchment (Tula region, Russia), Journal of Environmental Radioactivity, 2020, Vol. 223-224, 106386, DOI: 10.1016/j.jenvrad.2020.106386.</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Žížala D., Zádorová T., Kapička J. Assessment of soil degradation by erosion based on analysis of soil properties using aerial hyperspectral images and ancillary data, Czech Republic // Remote Sensing. 2017. Vol. 9 (1). 28. DOI: 10.3390/rs9010028.</mixed-citation><mixed-citation xml:lang="en">Zizala D., Zadorova T., Kapicka J., Assessment of soil degradation by erosion based on analysis of soil properties using aerial hyperspectral images and ancillary data, Czech Republic, Remote Sensing, 2017, Vol. 9 (1), 28, DOI: 10.3390/rs9010028.</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Žížala D., Juřicová A., Zádorová T., Zelenková K., Minařík R. Mapping soil degradation using remote sensing data and ancillary data: South-East Moravia, Czech Republic // European Journal of Remote Sensing. 2019. Vol. 52. P. 108–122. DOI: 10.1080/22797254.2018.1482524.</mixed-citation><mixed-citation xml:lang="en">Zizala D., Juncova A., Zadorova T., Zelenkova K., Minarik R., Mapping soil degradation using remote sensing data and ancillary data: South-East Moravia, Czech Republic, European Journal of Remote Sensing, 2019, Vol. 52, pp. 108-122, DOI: 10.1080/22797254.2018.1482524.</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Zobeck T.M., Parker C., Haskell S., Guoding K. Scaling up from field to region for wind erosion prediction using a field-scale wind erosion model and GIS, Agriculture // Ecosystems &amp; Environment. 2000. Vol. 82. Iss. 1–3. P. 247–259. DOI: 10.1016/S0167-8809(00)00229-2.</mixed-citation><mixed-citation xml:lang="en">Zobeck T.M., Parker C., Haskell S., Guoding K., Scaling up from field to region for wind erosion prediction using a field-scale wind erosion model and GIS, Agriculture, Ecosystems &amp; Environment, 2000, Vol. 82, Iss. 1-3, pp. 247-259, DOI: 10.1016/S0167-8809(00)00229-2.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
