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О.В. Градов Рубрика: Лесное хозяйство Скачать статью (pdf, 0.9MB )УДК58.02+58.056+58.055+58.03+58.087+58.084 ХРОМАТО-DOI:10.17238/issn0536-1036.2015.5.34АннотацияПредложена новая идеология объективных ауксанометрических измерений, позволя-ющая анализировать динамику роста с дифференциацией по стадиям развития. В ос-нову нового типа измерений заложен длительный мониторинг с привлечением мето-дов оптического анализа, «прямой» масс-спектрометрии и газовой хроматографии. Предложено, опираясь на известные одорологические различия запахов цветущих растений на разных точках фенологического мониторинга и используя флейво- и га-зохимические подходы, различать стадийную динамику различных видов и групп растений, анализировать и автоматически классифицировать древесные растения в модельных фитосообществах на феноритмотипы/фенологические группы на основе данных указанных методов и в рамках данного подхода с привлечением машинного распознавания образов и автоматического фингерпринтинга. Возможно феноспек-тральное ранжирование полученных данных при поиске зависимостей роста и фено-логии стадийного развития от факторов среды. На практике данный метод является внутреннеюстируемым, так как одновременно базируется на нескольких отличных источниках измерений, что позволяет использовать его как в лабораторных условиях или климатических камерах, так и в естественных полевых условиях при эргономич-ном размещении аппаратуры аналогично средствам метеоролого-климатического мо-ниторинга, монтируемым в метеобудке. Предложено принципиально отличная от из-вестных в ботанической и лесотехнической практике ауксанометрическая система, которая позволяет наблюдать за первичным ростом лесных пород в контексте разви-тия за счет того, что индикатором динамики является не количественный (как в обыч-ной ауксанометрии, где единственным критерием роста является удлинение пророст-ка), а комплексно-качественный критерий, складывающийся из взаимно-однозначного сопоставления результатов аналитико-химического анализа молекулярной эмиссии растений и вариаций характеристик среды, что позволяет анализировать обратные связи роста/развития растения и деформаций параметрики внешней среды. В ходе работы в различных режимах посредством обучения распознаванию образов с пополнением базы данных можно исследовать и моделировать не только один пат-терн развития растения, но и экспериментальный отклик экологической структуры признаков на изменение параметров среды, т. е. по мере необходимости переходить к фенологическому, модельно-биогеографическому, биометеорологическому, био-климатологическому, эколого-физиологическому подходам (если таковое позволяют параметры биотрона, климатической камеры, оранжереи, в которых производится выгонка проростков лесных пород), занося спектральные и хроматографические дан-ные в виде корреляционных паттернов в базы данных для последующего сличения. Феноспектральная экспериментальная выгонка позволяет программировать и с по-мощью обратной связи регулировать температуру, четко прогнозируя начало вегета-ции посредством суммирования эффективных температур или выявления их тренда, позволяющего реконструировать последовательность всхода или вегетации отдель-ных растительных форм в корреляции с характеристическими параметрами искус-ственного климата, автоматически классифицировать по комплексу характеристик на феноритмотипы или фенологические группы древесные растения в модельных фито-сообществах по более шкалированной градации, чем в устаревшей системе Морозо-вой, выделявшей только два феноритмотипа у древесных растений (вечнозеленые и листопадные), позволяет работать в режиме регуляции параметрики климатической камеры путем регистрации обратной связи растений за счет использования детекто-ров и датчиков их молекулярной эмиссии в контролируемом физическом окружении, т. е. сами параметры, регистрируемые детектирующей частью установки, могут пред-ставлять собой сигнал для изменения режима ее функционирования.Сведения об авторах© О.В. Градов, мл. науч. сотр., вед. инж.
Институт энергетических проблем химической физики РАН, Ленинский пр-т, д. 38, корп. 2, Москва В-334, Россия, 119334; е-mail: o.v.gradov@gmail.com
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Поступила 06.10.14
Ссылка на английскую версию:Chromatography-Auxanometry and Chromate-Mass-Auxanometry in Forest Species Vegetation Phenological Monitoring Based on Gas and Flavor Chemical Principles with Patterns Automatic IdentificationUDC 58.02+58.056+58.055+58.03+58.087+58.084
Chromatography-Auxanometry and Chromate-Mass-Auxanometry in Forest Species Vegetation Phenological Monitoring Based on Gas and Flavor Chemical Principles with Patterns Automatic Identification
O.V. Gradov, Research Assistant, Principal Engineer
Institute of Energy Problems of Сhemical Physics of the Russian Academy of Sciences, Leninskiy pr., 38/2, Moscow, 119334, Russia; e-mail: o.v.gradov@gmail.com
A new ideology for direct auxanometric measurements is proposed, which allows to analyze growth dynamics at different developmental stages. The above measurements include long-term monitoring using optical analysis with direct mass spectroscopic and gas chromatograph-ic detection. Based on the known flavor differences оf blooming plants at various phenological stages, we propose to distinguish phenological stage dynamics of various plant species and groups according to modern trends in flavor chemistry. It is possible to perform a simultaneous chemical analysis and automatic classification of forest plants in model plant communities according to their phenorhythm types and phenological groups with the approach described using automatic pattern recognition and fingerprinting. The novel method can also provide phenospectral data ranging useful for establishing the dependence of plant growth and devel-opmental stage phenology on the environmental factors. Since the method is based on combi-nation of several different measurement sources, it possesses a wide application in laboratory climatic chambers as well as in natural field conditions with the equipment placed in mete-orological instrument shelter like the abundant tools for meteo-climatic monitoring. In this paper we propose a novel auxanometric system which is fundamentally different from all the previously known analogues, as it allows a simultaneous monitoring of forest plant species growth together with plant development stages. Unlike the quantitative approach in standard
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auxanometric measurement techniques with the shoot elongation, our system implements a comprehensive qualitative growth dynamics criterion including one-to-one correspondence between the chemical analysis of plant molecular emission and the environmental conditions variations, that allows to analyze the feedback between the plant growth/development and the environmental parameter variation. This is provided by the fact that the automatic system dur-ing operation in different modes after pattern recognition learning (with the subsequent com-pletion of the database) allows us to investigate and simulate not only a single plant develop-ment pattern characteristic of a certain standard feature space, but also to study experimentally the response of the ecological feature structure upon the changing of external factors. The above strategy leads to the emergence of phenological, simulating-biogeographical, biomete-orological, bioclimatological and ecology-physiological approaches in auxanometry. The sys-tem proposed parameter variation in the course of the germination/elongation process monitor-ing as needed (if it is possible within the biotron, climatic chamber or the greenhouse used for germination/elongation of forest plant species), with the following addition of the spectral and chromatographic data in the form of correlation patterns into the database for subsequent com-parison. In the case of experimental phelonological spectral plant germination/elongation with the described system it is possible to program and control the temperature using a feedback and thus to predict vegetation initiation accurately. This can be implemented by summing the effective temperatures or their trend detection, which allows to reconstruct the sequence of germination or vegetation of individual plant forms in correlation with the characteristic pa-rameters of the artificial climate (for example, if known that for maple (g. Acer) the sum of effective temperatures is 156.2 °С, and for linden (g. Tilia) – 739 °С, it is obvious that in the thermal ranking database the linden will be behind the maple). Due to this fact the auxanomet-ric described system allows automatic classification of forest plants in the model plant com-munities on a set of characteristics according to the phenorhythm types or phenological groups using a more scaled classification than in outdated systems. The same fact allows monitoring in a climate chamber parameter regulation mode by the plant feedback registration using their molecular emission sensors in a controlled physical environment, i.e. the registered parameters from the detector can be considered as a signal changing the chamber operation mode. The described system operates in a wide range of conditions and possesses an amount of different application fields, so it is worth being recommended for implementation in both field and laboratory practice of forest engineering.
Keywords: flavor chemistry, gas chemistry, optical spectroscopy, auxanometry, gas chroma-tography , gas chromate-mass-spectrometry, phenological monitoring.
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Received on October 6, 2014
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