Environmental Dynamics and Global Climate Change最新文献

{"title":"Photosynthetic gas exchange in seedlings of Hopea odorata Roxb. (South Vietnam)","authors":"N. Zhirenko, Manh Vu, Van Thinh Nguyen, Juliya A. Kurbatova","doi":"10.18822/edgcc429889","DOIUrl":"https://doi.org/10.18822/edgcc429889","url":null,"abstract":"The paper presents the results of studies related to the study of photosynthetic gas exchange at the leaf level in situ of three-year-old seedlings of Hopea odorata Roxb. during the dry season (South Vietnam). The results obtained will contribute to a better theoretical understanding of the growth and development of plants of this species. The obtained quantitative values of the daily fluxes of photosynthetic gas exchange, as well as the physiological reactions of the plant to environmental conditions, will allow a more qualitative approach to the assessment of carbon fluxes in the corresponding ecosystems. OBJECTS AND METHODS OF RESEARCH The research was conducted from January to April 2020 on the territory of the Cat Tien National Park (South Vietnam) (11.41530 s.w., 107.42460 v.d.) during the dry season. Three-year-old H. odorata seedlings planted in mid-January 2020 were selected as the object of the study. 25 seedlings were selected for observation. The average height of seedlings is 110.0 0.5 cm (SD = 14.4 cm), and their average diameter at a height of ~10 cm is 8.3 0.1 mm (SD = 0.6 mm). According to the illumination conditions of the site and the location of the seedlings, the site was divided into three experimental sites (SA1, SA2, SA3), Fig. 1. The SA1 site (seedlings № 1-16) was located in a relatively open space. The total value of photosynthetically active radiation (FAR) per seedling of this site was 25.71.2 molm-2. The SA2 site (seedlings № 17-20) was located under the crowns of adult trees. The total value of FAR is 10.80.5 molm-2. The SA3 site (seedlings № 21-25) was adjacent to an untouched part of the forest. The total value of FAR is 9.20.4 molm-2. During planting, as well as on 12.02 and 19.03, the seedlings were watered. On 17.02 there was heavy rain at the site. To clarify the question of the effect of the moisture content in the soil on the condition of the studied plants, seedlings № 4-9 were watered from 26.03 to 5.04. The processes of photosynthesis were considered from the standpoint of CO2 gas exchange. Photosynthesis was measured in situ using the Portable Photosynthesis System LI-6800 (Li-Cor, USA). The formed intact leaves in the upper part of the crowns were used for the study. The moisture content in the soil was determined in a 12 cm surface layer using the HydroSense II soil moisture meter (Campbell Scientific, Inc. USA). Soil moisture below 10% corresponded to withering humidity. To study the growth of seedlings in thickness, the stem diameters were measured at a height of 10 cm. The MichaelisMunten equation was used as a basis for the mathematical description of the dependence of photosynthesis on FAR. We used this equation in a modified form [Kaibeyainen, 2009]: A = AmQ/(Q + KM) + Ad. (1) To evaluate the efficiency of photosynthesis, we used the angular coefficient of the tangent (a) to the curve of the function (1) at the point corresponding to KM. From a physical point of view, this coefficien","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139330475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Moscow region’s swamp forests mapping for inventory of CH4 and CO2 fluxes.","authors":"D. V. Ilyasov, S. Y. Mochenov, A. I. Rokova, M. Glagolev, I. Kupriianova, G. G. Suvorov, A. Sabrekov, I. Terentieva","doi":"10.18822/edgcc568952","DOIUrl":"https://doi.org/10.18822/edgcc568952","url":null,"abstract":"Introduction. Methane and carbon dioxide are the most important greenhouse gases, the increase in the concentration of which in the atmosphere is the main cause of climate change [Taylor and Penner, 1994; Drösler et al., 2014; Hoegh-Guldberg et al., 2019]. In addition to relatively constant sources of methane and carbon dioxide into the atmosphere (such as oligotrophic bogs of the boreal zone), there are sporadic sources (SS): intermittently flooded floodplains, boreal swamp forests, some intermittently swamp forests, etc. Despite the variability of SS as sources of methane, CH4 fluxes in floodplains and in swamp forests can reach 0.1–12.5 [Whalen et al., 1991; Van Huissteden et al., 2005; Terentieva et al., 2019] and 0.7 – 17.1 mgC m-2 h-1 [Moore and Knowles, 1990; Ambus and Christensen, 1995; Aronson et al., 2012; Koskinen et al., 2016; Glagolev et al., 2018], respectively. These values are comparable, and exceed those observed in bogs under certain conditions (a combination of soil moisture and temperature, and other factors) [Gulledge and Schimel, 2000; Vasconcelos et al., 2004; Ullah and Moore, 2011; Shoemaker et al., 2014; Christiansen et al., 2017; Torga et al., 2017; Glagolev et al., 2018; Mochenov et al., 2018]. Unfortunately, in Russia, studies of CH4 and CO2 fluxes from sporadic sources are extremely limited (one-time measurements were performed without reference to spatial, seasonal, and interannual variability of conditions) and were carried out mainly in Western Siberia [Sabrekov et al., 2013; Mochenov et al., 2018; Glagolev et al., 2018; Terentieva et al., 2019] and the European part of Russia [Kuznetsov and Bobkova, 2014; Ivanov et al., 2018; Glukhova et al., 2021; Glukhova et al., 2022]. In general, medium-scale (at the Federal subject level) studies of bogs and forests in Russia have not been carried out in all regions, although they are of particular interest due to the possibility of maintaining a balance between the detailing of estimates and the magnitude of spatiotemporal coverage [Zatsarinnaya and Volkova, 2011; Grishutkin et al., 2013; Baisheva et al., 2015; Ilyasov et al., 2019; Suslova, 2019]. Besides, estimates made throughout the country require clarification at the regional level [Vompersky et al., 2005]. The aim of our work was the simplest inventory of swamp forests of the Moscow region as sources of CH4 and CO2 using GIS mapping and field measurements. Objects and methods. The basis for the map of swamp forests of the Moscow region (hereinafter, by this term we mean the total territory of Moscow and the Moscow region) was a mosaic of 6 Landsat-8 satellite images. The mapping was carried out using the Supervised Classification algorithm in the Multispec program (Purdue Research Foundation, USA). For each decryption class, at least 7 training polygons were set and the classification module was launched using the maximum likelihood estimation. After the classification, the decryption classes were combined into typol","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"180 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139328115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The main physical and geographical characteristics of the Mukhrino field station area and its surroundings","authors":"I. Kupriianova, A. Kaverin, I. V. Filippov, D. Ilyasov, E. Lapshina, E. V. Logunova, M. F. Kulyabin","doi":"10.18822/edgcc240049","DOIUrl":"https://doi.org/10.18822/edgcc240049","url":null,"abstract":"На основе литературного обзора и по данным полевых маршрутных наблюдений сделана попытка рассмотрения особенностей основных физико-географических компонентов международной полевой станции Мухрино и ее окрестностей: геологического строения и рельефа, климата, гидрографии, разнообразия позвоночных животных, растительного и почвенного покрова, ландшафтной структуры. Принадлежность территории к геологическим элементам, таким как Фроловская мегавпадина, Южно-Елизаровский прогиб, Ханты-Мансийская синеклиза и Усть-Иртышская впадина свидетельствует об отрицательных неотектонических движениях и характеризуется максимальными мощностями осадочных отложений кайнозойского возраста. Особенностью современного рельефа является отчетливо выраженная ярусность, которая формировалась в процессе трансформаций, происходивших в неоген-четвертичное время. Важное влияние на формирование облика территории оказали аккумулятивные процессы. Комбинация их влияния поспособствовала формированию плоского эрозионно-аккумулятивного рельефа, сложенного тонкозернистыми песчаными и супесчаными озерно-аллювиальными, супесчаными, суглинистыми аллювиальными осадками позднего плейстоцена и переслаивающимися супесчаными и суглинистыми аллювиальными голоценовыми отложениями. Климат характеризуется большой повторяемостью антициклональной погоды, быстрой изменчивостью погоды, влажный с умеренно-теплым летом и умеренно суровой снежной зимой. Гидрографическая сеть хорошо развита, стационар расположен в долине реки Мухриной с большим количеством водотоков, озер и болот, и прилегающей к району сопряжения пойм Оби и Иртыша. Наблюдается слабая дренирующая роль рек, что указывает на переувлажнение и заболоченность территории. Растительный покров представлен сочетанием сообществ олиготрофных верховых болот, суходольных лесов и пойм. В результате классификации растительного покрова было выделено 11 типов. Почвенный покров также сочетает в себе зональные и интразональные черты и формируется за счёт таких процессов, как подзоло-, глее- и торфообразование, а также аллювиального. Предварительно на территории исследования было выделено 5 основных типов почв: подзолы, светлоземы, аллювиальные, торфяные олиготрофные и эутрофные. Спецификой ландшафтной структуры описываемой территории является широкое распространение болотных, лесных и пойменных геосистем, в связи с чем разнообразна ее фауна. Хозяйственная деятельность человека не ведётся. Это позволяет считать экосистемы района стационара Мухрино фоновыми и в целом не нарушенными, что делает их привлекательными для разнонаправленных исследований, в основу которых будут положены интегральный подход и геосистемный анализ его природных комплексов.","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126100875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Population demography of rare sedges (Eriophorum gracile and Carex livida) north of the Arctic Circle in Murmansk Region and climate change impacts","authors":"I. Blinova","doi":"10.18822/edgcc134238","DOIUrl":"https://doi.org/10.18822/edgcc134238","url":null,"abstract":"Species of Cyperaceae are little studied on the population level globally. Also in Murmansk Region, species from this family were not included in long-term population studies of rare plant species whereas other representatives from 21 families were put in [Blinova, 2009]. Experimental works with sedges is often neglected because of taxonomic difficulties and a lack of methods for study populations of this group [Kitamura et al., 2016; Sosnovska, Danylyk, 2017]. Such difficulties became obvious while the IUCN-red data book testing. Of rare sedges studied in this paper Eriophorum gracile is included in the regional Red data book [Kozhin, 2014] and Carex livida is in the Appendix of this book in the group Need of monitoring. \u0000 \u0000The Murmansk Region (6670 N), located in the north-eastern corner of Russian Fennoscandia, is a part of the Atlantic-Arctic zone of temperate belt with a rather mild climate. The region is very heterogeneous. Two latitudinal vegetation zones can be distinguished: tundra and taiga. So, many boreal plant species reach here their northern limit of distribution. Our field work has been conducted in the center part of the region in a recently found rich fen [Blinova, Petrovskij, 2014]. Both study species (Eriophorum gracile и Carex livida) have circumpolar distribution in wetlands of northern hemisphere [Hulten, Fries, 1986], and they are at the northern range in Murmansk Region [Kuzeneva, 1954; Chernov, 1954]. They are polycarpic perennials. An annual shoot has been selected as a counting unit (Fig. 1). In E. gracile only the number of generative shoots has been counted in the field. For non-destructive purposes, from herbarium data, the ratio between generative and vegetative shoots was defined as 1:1. The total population size for this species has been estimated from this ratio. In population of C. livida, the direct counting in the field has been done on 3-5 small plots (0.25*0.25 м2). Lately this value has been recalculated according to the area of population subset. Clusters and subsets have been distinguished in population structure according to suggested aggregation patterns of spatial structure in local plant populations [Blinova, 2018]. Marked population subsets have been monitored several times in the growing period in 2014-2016 years. In the field the boundaries and areas of rich fen and populations (including subsets) have been estimated with the help of GPS navigation device Garmin Dakota 20, in the lab all data are further processed using Garmin Software BaseCamp 4.2.5. Nomenclature for vascular plants is given according to S. K. Czerepanov [1995], for mosses after M. S. Ignatov O. M. Afonina [1992]. \u0000 \u0000Our results show that extremely low (0.2% for Eriophorum gracile) and relatively low (3.1% для Carex livida) population cover is characteristic for a large long-term monitored fen. Spatial aggregation of E. gracile population is structured on very small area (40 м2) whereas C. livida is established on relatively repr","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121054199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WHAT IS THE MAXIMAL POSSIBLE SOIL METHANE UPTAKE?","authors":"M. Glagolev, G. Suvorov, D. V. Il’yasov, A. Sabrekov, I. Terentieva","doi":"10.18822/edgcc133609","DOIUrl":"https://doi.org/10.18822/edgcc133609","url":null,"abstract":"The spread of published values of the rate of methane uptake by soils makes up several orders of magnitude from 0.0001 to 1 mgm-2h-1, which is comparable in magnitude to the spread of estimates of the release of CH4 out of waterlogged soils. The high values of CH4 emissions out of waterlogged soils are well explained, since with high methane production, it can be removed from the soil at almost any speed through a convective (most often bubble) transport mechanism. But when being absorbed by the soil, methane can penetrate in it only due to an apparently slow diffusion mechanism. Thus, the question arises of the maximum theoretically justified assessment of methane consumption by the soil. The aim of our work was to try to quantify the maximum possible amount of CH4 consumption by the soil relying on a strict basis of soil biokinetics and physics. \u0000To estimate the maximum specific absorption flux of CH4 by the soil, we used the \"mass conservation equation\" [Walter et al., 1996; Zhuang et al., 2004; Глаголев, 2006, p. 316; 2010, p. 35-36]: \u0000 \u0000C/t = -F/z + Qebull + Qplant + Rprod + Roxid, \u0000 \u0000where C (mg/m3) is the concentration of methane at time t at depth z; F (mgm-2h-1) is the specific flux of methane due to diffusion; Qebull and Qplant (mgm3h-1) are the rates of change in methane concentration at time t at depth z due to the formation of bubbles and drainage through the roots of plants, respectively; Rprod and Roxid (mgm-3 h-1) are the rates of formation and consumption of methane, respectively. \u0000Since we going to estimate the flux of CH4 only at its maximum possible consumption, the equation is simplified, as far as its terms accounted for the formation and transport of methane (Rprod, Qebull, Qplant) will be equal to 0. Finally, we will consider the system in a steady state, i.e. C/t=0. Thus:F(t,z)/z = Roxid(t,z). \u0000Using Fick's first law to calculate the diffusion flux (used with a modified sign compared to its traditional form): \u0000 \u0000F(t,z) = D(z)C/z, \u0000 \u0000where D(z) is the diffusion coefficient [Zhuangetal.,2004]; and the modified Michaelis-Menten equation for calculating methane oxidation is:Roxid(t,z) = -Vmax(C-CTh)/(KM + C-CTh), where CTh (mgm-3) is the threshold concentration [Panikov, 1995, p. 151]; Vmax (mgm-3h-1) is the maximum specific consumption rate; KM (mgm-3) is the halfsaturation constant, and also under assumptions, (i) the concentration of CH4 is approximately equal to atmospheric (CA=1.29mg/m3) at the upper boundary (soil/atmosphere); (ii) the flux of CH4 can be assumed to be zero at an infinitely great depth [Born et al., 1990]; (iii) D, Vmax and KM (C- CTh) do not change with depth. Therefore, the absolute value of the specific flux from the atmosphere to the soil is: \u0000 \u0000|F(0)|= (CA-CTh)(VmaxD/KM). \u0000 \u0000The maximum value of the diffusion coefficient can be estimated by the Penman equation: D=D oPa0.66, where Do is the diffusion coefficient in air; Pa is the porosity of aeration [Смагин,2005,p.165]. Since we are going to estimat","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"4173 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127566836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring of protected fungi species by methods of modern information technologies","authors":"T. Svetasheva","doi":"10.18822/edgcc121833","DOIUrl":"https://doi.org/10.18822/edgcc121833","url":null,"abstract":"INTRODUCTION \u0000The emergence of smart Internet resources and the improvement of electronic mobile devices have proved to be very useful for performing various scientific applied tasks, for example, for documenting biological observations in nature.The most significant are open access online platforms that accumulate information about biodiversity and provide it to everyone, for example: Global Biodiversity Information Facility, The Biodiversity Heritage Library, the multifunctional network storage of biological material National Depository Bank of Live Systems\"Noah's Ark\" etc. Of particular interest are resources that combine, on the one hand, a platform for collecting scientific data on biodiversity, and, on the other hand, a means of communication between people who collect and analyze this data, including projects that are often presented as \"citizen science\", for example: Mushroom Observer [Wilson, Hollinger et al. 2006-present], iNaturalist [iNaturalist, 2022]. The most popular resource among nature lovers is iNaturalist [iNaturalist, 2022], which is based on the concept of mapping and sharing observations of biodiversity around the world.At the moment, iNaturalist cannot be considered as a good mobile tool for identifying fungi in the field as well as a reliable way to determination based on photographs with the help of experts, since in most cases many different characters (including microstructures) are needed for accurate identification, and photographs of fruit bodies are clearly insufficient.Nevertheless, the program can be successfully used for the certain tasks in the study of fungi[Filippova et al., 2022; Sheehan, 2021]. \u0000WHAT FUNGI RESEARCH TASKS CAN BE PERFORMED WITH THE INATURALIST PLATFORM? \u0000 \u0000Photodocumentation and mapping of finds. In general, it is suitable for any find of fungal species. However, the implementation of this task is most appropriate in the case of working with rare and well-recognized species from photographs. \u0000Accumulation of observations of a designated group of species in any designated area, using filters or organizing special project inside iNaturalist, for example Funga of Tula Oblast [Funga, 2021], FunDiS West Coast Rare Fungi Challenge [FunDis, 2021]. \u0000Revealing of new species localities through the activities of amateur naturalists, as well as by involving students, schoolchildren and their parents in posting data and discussing findings. \u0000Organizing the specimen collection based on the obtained coordinates of the finds.Thanks to the data on new locations, it is easy to organize special expeditions with students or schoolchildren to \"hot spots\", or to involve amateurs to collection of specimens. \u0000Use as a database of finds, excursion routes, geobotanical descriptions of sample plots, as well as a kind of repository of \"voucher\" photographs \u0000Monitoring the appearance of fruiting bodies (phenology) of species confidently identified from photographs \u0000 \u0000 \u0000HOW CAN INATURALIST BE USED FOR MONITORING OF SPECI","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116932226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation modelling as an approach to estimate carbon fluxes in agrolandscapes in central chernozem zone","authors":"Olga Eduardovna Suhoveeva, Dmitrii Vital'evich Karelin","doi":"10.18822/edgcc112022","DOIUrl":"https://doi.org/10.18822/edgcc112022","url":null,"abstract":"Две имитационные модели углеродного цикла в пахотных почвах DNDC и RothC верифицированы по данным длительного мониторинга дыхания почвы на Курской биосферной станции. Они применены для воспроизведения динамики органического углерода в почве, ее дыхания и чистого экосистемного обмена в агроландшафтах Курской области за 1990-2021 гг. По результатам модельных экспериментов получено, что пахотные черноземы теряют 241-423 кг С га-1 год-1 органического углерода, их дыхание в зависимости от возделываемой культуры варьирует от 3386 до 8434 кг С га-1 год-1, кроме того агроэкосистемы способны поглотить 487-1312 кг С га-1 год-1 за счет накопления в фитомассе. Результаты RothC обусловлены климатическими факторами, преимущественно температурой, тогда как выходные данные DNDC отличаются видоспецифичностью для каждой культуры.","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134251997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hot spots of methane emission in West Siberian middle taiga wetlands disturbed by petroleum extraction activities","authors":"A. Sabrekov, I. V. Filippov, E. Dyukarev, E. A. Zarov, A. Kaverin, M. Glagolev, I. Terentieva, E. Lapshina","doi":"10.18822/edgcc121107","DOIUrl":"https://doi.org/10.18822/edgcc121107","url":null,"abstract":"Introduction. The concentration of methane in the Earth's atmosphere, the second most potent greenhouse gas, continues to rise since 2007 [Canadell et al., 2021]. The need to significantly reduce the anthropogenic emission of methane into the atmosphere in order to limit the increase in global temperature by 2100 within 2C relative to the period from 1850 to 1900 is recognized by both the scientific community [IPCC, 2021] and the leadership of most countries of the world, including Russia, who signed and ratified the Paris Agreement, adopted following the results of the 21st Conference of the UN Framework Convention on Climate Change [Climate Agenda of Russia, 2021]. Reduction of methane emissions and control over it throughout the territory of managed ecosystems will require huge resources and investments, development of new climate-smart technologies. A reasonable compromise may be to identify the most important sources of methane within managed ecosystems (also called hot spots) and to introduce changes in their land-use in accordance with the principles of sustainable development and science-based environmental management. \u0000The major type of economic activity in the taiga natural zone of West Siberia is oil production [Koleva, 2007; Volkova, 2010]. Since 35-40% of the West Siberian middle taiga area is covered with waterlogged ecosystems - wetlands and floodplains [Peregon et al., 2009; Terentieva et al., 2016], a significant part of this infrastructure is located in wetland ecosystems and has a strong impact on them. In this paper, we made the first attempt to understand, how the most common types of disturbances by oil production (road, pipeline and electric power transmission line construction) can affect methane emissions from the most common disturbed waterlogged ecosystems in the region (oligotrophic raised bogs on a terrace or watershed) and eutrophic lowland swamps in the floodplain). We measured methane emission from the surface of disturbed wetland ecosystems, physicochemical and biological factors influencing it, to identify which ecosystems are hot spots of methane emission. \u0000Objects. The study area was located 50 km southeast of the city of Khanty-Mansiysk, on the right bank of the Irtysh River, in the natural zone of the middle taiga. The climate of this region is subarctic (Dfc according to Kppen). In the floodplain of the Irtysh the most common types of wetlands are sedge-grass open swamps and sogras (treed sedge-grass wetlands), on terraces and the watershed - pine-shrub-sphagnum ecosystems (ryams) and ridge-hollow complexes [Liss et al., 2001]. The thickness of the peat layer in raised bogs on the terrace and watershed varied from 2 to 3 m; in sogra from 3.5 to 4 m; in open floodplain swamps thickness of organic-rich horizon never exceeded 0.4 m. For floodplain ecosystems we investigated influence of a four-lane access road on changing the hydrological functioning of open swamps (points OO and OK), as well as the effect of c","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"3 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126149791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The carbon dioxide fluxes at the open-top chambers experiment on the ombrotrophic bog (Mukhrino field station)","authors":"E. A. Zarov, A. Jacotot, A. A. Kulik, S. Gogo, E. Lapshina, E. Dyukarev","doi":"10.18822/edgcc168830","DOIUrl":"https://doi.org/10.18822/edgcc168830","url":null,"abstract":"The continuous measurement of CO2 fluxes at the open-top chamber experiment in the ombrotrophic peatland (located in the middle taiga zone, West Siberia, Russia) has been provided during the warm season of 2022 (beginning of June to beginning of October). The Reco, NEE and GPP were calculated for this period; abiotic factors related to CO2 emissions, such as PAR, air temperature, water table level and precipitation, were also measured. The monthly average values showed a negative NEE of -9.89 C g m-2 month-1 in July, a negative GPP of -34.19 C g m-2 month-1 in July, and a positive values Reco of 41.68 C g m-2 month-1 in August. In 2022, the studied peatland hollows were only a carbon stock in July, while in the remaining months they were a source of CO2, which could be caused by small precipitation amount. \u0000The monthly average diurnal variations of CO2 fluxes showed similar behaviour for both the OTC plot and control plot fluxes, which may be explained by the similarity in vegetation cover.","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121988802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technical and environmental features of the application of renewable energy for decentralized power supply zones","authors":"N. N. Dolgikh, D. Osipov, N. D. Osipova","doi":"10.18822/edgcc134196","DOIUrl":"https://doi.org/10.18822/edgcc134196","url":null,"abstract":"A feature of the geographical location of the Khanty-Mansiysk Autonomous Okrug - Yugra is the presence of a large number of zones of decentralized power supply. For a comparative environmental assessment of renewable energy installations, it is necessary to take into account the emissions of the entire life cycle. Throughout the presented cycle from mining to the production of power plant structures and then the disposal of the facility, a significant part of CO2 emissions is present. The problem of dismantling and recycling of spent structures of wind power plants is becoming essential. Wind turbines cause the death of birds, violate the conditions of comfortable living for people and animals \u0000From a technical point of view, it is necessary to take into account the regime parameters: indicators of the quality of electricity at the point of connection, voltage levels at load nodes, operating modes of energy storage devices. To assess the operating parameters of an isolated power supply system with renewable energy sources, this paper proposes to use the wavelet transform method. The Haar wavelet was used as a basic function in the paper. A mathematical model is presented that makes it possible to obtain a low-frequency (trend) component and a high-frequency component using the wavelet transform. The model allows for the optimal choice of a hybrid energy storage device for a renewable energy source - a battery and a supercapacitor.","PeriodicalId":336975,"journal":{"name":"Environmental Dynamics and Global Climate Change","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125603321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}