7 research outputs found

    Π”ΠΈΠ½Π°ΠΌΡ–ΠΊΠ° Ρ„Π»ΠΎΡ€ΠΈ СкосистСм ΠΏΠ΅Ρ€Π΅Π»ΠΎΠ³Ρ–Π² Π£ΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΎΠ³ΠΎ ΠŸΠΎΠ»Ρ–ΡΡΡ

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    Flora is an important component of ecosystems. Representatives of the old-field flora affect the direction and pace of ecosystem development. The old-field ecosystem is a unique place for research of its dynamics. Secondary autogenic succession occurs in the old fields of ecosystems. Here one can observe the influence of external factors on the course of succession, such as biotic, abiotic and anthropogenic factors. Therefore, the study of the old-fields flora is an important stage for the development of methods for forecasting the dynamics of ecosystems. Material of research can be used for phytoindication determination of ecosystem disturbances. The bioindicators the ratio between the different families of plants may be. However, the best indicator is the use of standard synphytoindication techniques. These data will allow building forecasts for the development of ecosystems in different environmental conditionsДослідТСння Ρ„Π»ΠΎΡ€ΠΈ ΠΏΠ΅Ρ€Π΅Π»ΠΎΠ³Ρ–Π² – Π²Π°ΠΆΠ»ΠΈΠ²ΠΈΠΉ Π΅Ρ‚Π°ΠΏ Π² ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΡƒΠ²Π°Π½Π½Ρ– Ρ—Ρ…Π½ΡŒΠΎΡ— Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ. Π¦Π΅ дозволяє встановити Π°Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΡ€ΠΈ Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΊΡƒ Ρ‚Π°ΠΊΠΈΡ… СкосистСм Ρ‚Π° Ρ‚Π΅ΠΌΠΏ сукцСсії, ΠΏΠ΅Ρ€Π΅Π΄Π±Π°Ρ‡ΠΈΡ‚ΠΈ появу Ρ– ΠΏΠΎΡˆΠΈΡ€Π΅Π½Π½Ρ Π²ΠΈΠ΄Ρ–Π², Ρ‰ΠΎ ΠΏΠΎΡ‚Ρ€Π΅Π±ΡƒΡŽΡ‚ΡŒ особливої ΡƒΠ²Π°Π³ΠΈ (Π½Π΅Π±Π΅Π·ΠΏΠ΅Ρ‡Π½ΠΈΡ… Ρ–Π½Π²Π°Π·Ρ–ΠΉΠ½ΠΈΡ… Ρ‚Π° рідкісних). ΠŸΡ€ΠΎΠ΅ΠΊΡ‚ΠΈΠ²Π½Π΅ покриття ΠΎΠΊΡ€Π΅ΠΌΠΈΡ… прСдставників Ρ„Π»ΠΎΡ€ΠΈ ΠΏΠ΅Ρ€Π΅Π»ΠΎΠ³Ρ–Π² ΠΌΠΎΠΆΠ΅ слугувати Ρ–Π½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€Π½ΠΎΡŽ ознакою для визначСння характСристик Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ СкосистС

    TEST MONITORING OF THE SPEECH COMPETENCE OF STUDENTS OF MODERN HIGHER EDUCATION INSTITUTIONS

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    The object of research is the process of forming the spelling competence of future teachers of the New Ukrainian School. Investigated problem. The spelling competence of students of higher education institutions as a component of linguistic and communication competence is presented in the article. The problem of the formation of linguistic and communicative competence, in particular spelling, is of particular relevance in connection with the introduction of the new edition of Ukrainian spelling. In the context of current requirements for the professional training of future specialists of the New Ukrainian School, the role of test monitoring as a form of diagnostics and control of spelling and punctuation literacy of higher education students is increasing, which allows to objectively evaluate the spelling of students’ skills, improve the organization of educational activities and in modern universities. The main scientific results. A brief overview of the history of testing use in the educational process is provided in scientific intelligence. The positive and negative factors of the introduction of testing in the process of studying the spelling material of modern Ukrainian literary language are determined. Guidelines for the development of spelling test tasks in modern Ukrainian have been made. The article proposes test tasks of closed and open forms for monitoring the spelling knowledge, abilities and skills of students of institutions of higher education after studying the topic Β«Letter doublingΒ». The field of practical use of research results. The results of the study can be used by teachers of higher education who are working on the problem of formation and improvement of spelling literacy of applicants for higher education institutions, as test monitoring allows promptly checking students’ educational achievements, determining how thoroughly and correctly each student has mastered one or another spelling knowledge, skills. Innovative technological product. Test tasks of closed and open forms on the theme Β«Letter doublingΒ» are developed. Scope of innovative technological product. The methodical recommendations for the development of spelling tests of modern Ukrainian language, the proposed test tasks on the subject of Β«Letter doublingΒ» can be applied in the study of such subjects as Β«Modern Ukrainian language with a practicumΒ», Β«Practice in Ukrainian spellingΒ» for students of specialty 013 Β«Primary educationΒ», 014 Β«Secondary educationΒ», specialization Β«Ukrainian language and literatureΒ» of higher education institutions

    Neuropsychological Approach in the Study of Linguistic Phenomena in the Context of the Study of the Conceptual Sphere of People’s Morality

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    The research focuses on the study of speech phenomena developed in the context of the conceptual sphere as an effective approach to the use of neuropsychology. Neuropsychology considers the acquisition of new knowledge on human perception and processing of new information as a separate mental process. This paper studies the formation of linguistic phenomena in the context of the cultural development of man, which in the course of evolutionary-historical process has created distinctive linguistic-ethnic linguistic images. The linguistic identity of man is created in the representation of man and is represented by a set of concepts, i.e. it is a conceptual sphere. The current state of the humanities has led to the relevance of ethno linguistic studies, which present the results of studies of the reflection in the national consciousness of extra linguistic phenomena that form the basis for a holistic worldview and function as concepts. The latter are cultural, mental and linguistic phenomena that are integral mental-linguistic constructs, but can be studied for each of the components, including language. Cognitive experience, which can be identified and analyzed in language phenomena, is a verbalized (fixed to a bilateral linguistic unit) reflection of sensual and rational experiences of an individual (group, society, ethnicity) of a number of events, impressions, often located in speech - in dialect, literary language, the carrier of which he is). General scientific and special linguistic methods will ensure the complexity of the study of verbalizers of the concepts of folk morality.Β </em

    Dynamics of Flora in the Old-field Ecosystem Ukrainian Polissya

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    Flora is an important component of ecosystems. Representatives of the old-field flora affect the direction and pace of ecosystem development. The old-field ecosystem is a unique place for research of its dynamics. Secondary autogenic succession occurs in the old fields of ecosystems. Here one can observe the influence of external factors on the course of succession, such as biotic, abiotic and anthropogenic factors. Therefore, the study of the old-fields flora is an important stage for the development of methods for forecasting the dynamics of ecosystems. Material of research can be used for phytoindication determination of ecosystem disturbances. The bioindicators the ratio between the different families of plants may be. However, the best indicator is the use of standard synphytoindication techniques. These data will allow building forecasts for the development of ecosystems in different environmental condition

    Π€Ρ–Ρ‚ΠΎΡ–Π½Π΄ΠΈΠΊΠ°Ρ†Ρ–ΠΉΠ½Ρ– ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΠΈ Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ СкосистСм ΠΏΡ€Π°Π²ΠΎΠ±Π΅Ρ€Π΅ΠΆΠ½ΠΎΠ³ΠΎ полісся

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    The publication discusses the study results of energy dynamics in ecosystems. The goal of the study is to search for objective parameters to determine the indicator of the ecosystem dynamics and basing on the above-ground phytomass quantitative indices, its age and changes of floristic composition we demonstrate the possibility of the accurate phytoindication assessment of ecosystems dynamics. It is determined that the indicators of above-ground phytomass naturally increase during self-development of natural ecosystems (autogenic succession).Materials and methods. The above-ground phytomass is measured in ecosystems that are at different stages of autogenic succession. In order to balance the fluctuation of the indicators, that was caused by the domination of species with different types of photosynthesis, the correction for the age of the above-ground phytomass was used.Results. The dynamics indicator increases during the autogenic succession. External influences deflect it from the main trend. The anthropogenic influence often displaces succession in the opposite direction. The method was tested on the territory of Right-Bank Ukrainian Polissia. Expansion of the database of results of dynamic indicator determination allows to calculate this indicator with accuracy sufficient for practical and theoretical purposes. Such methods allow studying ecosystem thermodynamics (entropy and energy stocks) and ecosystem dynamics in noninvasive and non-contact way without affecting of plant biodiversity. Such approaches could be the most suitable for conducting studies on natural protected areas. Within such objects, it is not allowed to remove the above-ground phytomass, to determine the energy and dynamic indicators.Conclusion. The unit that will correspond the self-development stage, is an index that is directly proportional to the aboveground phytomass quantity and its age. The ecosystem entropy value will be inversely proportional to the self-development stage index. This index can be determined by classical phytoindication methods upon detailed database availability. Measurement errors, associated with phytoindication method range from 3 % to 10 % comparing to 5-10 % for direct method, are commensurate. The phytoindication approach allows application of this methodology on the protected areas. The index of the ecosystems self-development stage can be used to predict the development of specific studied plots and for the needs of ecosystem classificationΠ’ ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΡƒΡŽΡ‚ΡΡ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдований Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ энСргСтичСских характСристик экосистСм. ЦСль Ρ€Π°Π±ΠΎΡ‚Ρ‹: Π½Π° основании ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ количСства Π½Π°Π΄Π·Π΅ΠΌΠ½ΠΎΠΉ фитомассы, Π΅Π΅ возраста, Π° Ρ‚Π°ΠΊΠΆΠ΅ измСнСния флористичСского состава, дСмонстрируСтся Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ Ρ„ΠΈΡ‚ΠΎΠΈΠ½Π΄ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΎΡ†Π΅Π½ΠΊΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ экосистСм, ΠžΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ, ΠΊΠ°ΠΊ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π½Π°Π΄Π·Π΅ΠΌΠ½ΠΎΠΉ фитомассы растут Π²ΠΎ врСмя саморазвития ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π½Ρ‹Ρ… экосистСм (Π°Π²Ρ‚ΠΎΠ³Π΅Π½Π½ΠΎΠΉ сукцСссии).ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. НадзСмная фитомасса ΠΈΠ·ΠΌΠ΅Ρ€ΡΠ»Π°ΡΡŒ Π² экосистСмах, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ находятся Π½Π° Ρ€Π°Π·Π½Ρ‹Ρ… стадиях Π°Π²Ρ‚ΠΎΠ³Π΅Π½Π½ΠΎΠΉ сукцСссии. Для ΡƒΡ€Π°Π²Π½ΠΎΠ²Π΅ΡˆΠΈΠ²Π°Π½ΠΈΡ ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, Π²Ρ‹Π·Π²Π°Π½Π½Ρ‹Ρ… Π΄ΠΎΠΌΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π²ΠΈΠ΄ΠΎΠ² с Ρ€Π°Π·Π½Ρ‹ΠΌ Ρ‚ΠΈΠΏΠΎΠΌ фотосинтСза, Π½Π°ΠΌΠΈ использовано ΠΏΠΎΠΏΡ€Π°Π²ΠΊΡƒ Π½Π° возраст Π½Π°Π΄Π·Π΅ΠΌΠ½ΠΎΠΉ фитомассы.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠŸΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅Ρ€Π½ΠΎ возрастаСт Π²ΠΎ врСмя Π°Π²Ρ‚ΠΎΠ³Π΅Π½Π½ΠΎΠΉ сукцСссии. Π’Π½Π΅ΡˆΠ½ΠΈΠ΅ воздСйствия ΠΎΡ‚ΠΊΠ»ΠΎΠ½ΡΡŽΡ‚ Π΅Π³ΠΎ ΠΎΡ‚ основной Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΠΈ. АнтропогСнноС воздСйствиС часто смСщаСт ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ сукцСссии Π² ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΠΏΠΎΠ»ΠΎΠΆΠ½ΠΎΠΌ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΈ. ΠœΠ΅Ρ‚ΠΎΠ΄ Π°ΠΏΡ€ΠΎΠ±ΠΈΡ€ΠΎΠ²Π°Π½ Π½Π° Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΈ ΠŸΡ€Π°Π²ΠΎΠ±Π΅Ρ€Π΅ΠΆΠ½ΠΎΠΉ ПолСсьС Π² Π£ΠΊΡ€Π°ΠΈΠ½Π΅. Π Π°ΡΡˆΠΈΡ€Π΅Π½ΠΈΠ΅ Π±Π°Π·Ρ‹ Π΄Π°Π½Π½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² опрСдСлСния показатСля Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ позволяСт ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ Π΅Π³ΠΎ с достаточной для практичСских ΠΈ тСорСтичСских Ρ†Π΅Π»Π΅ΠΉ Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒΡŽ. Π­Ρ‚ΠΎΡ‚ ΠΌΠ΅Ρ‚ΠΎΠ΄ Π΄Π°Π΅Ρ‚ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ провСсти исслСдования Ρ‚Π΅Ρ€ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ (запасы энСргии ΠΈ энтропии) Π° Ρ‚Π°ΠΊΠΆΠ΅ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ экосистСм бСсконтактным способом, Π±Π΅Π· влияния Π½Π° Π±ΠΈΠΎΡ€Π°Π·Π½ΠΎΠΎΠ±Ρ€Π°Π·ΠΈΠ΅ растСний ΠΈ структуру Ρ†Π΅Π½ΠΎΠ·ΠΎΠ². Он являСтся Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΡ€ΠΈΠ΅ΠΌΠ»Π΅ΠΌΡ‹ΠΌ для Ρ‚Π°ΠΊΠΈΡ… исслСдований Π² ΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ… ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π½ΠΎ-Π·Π°ΠΏΠΎΠ²Π΅Π΄Π½Ρ‹Ρ… Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉ. На Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΈ Ρ‚Π°ΠΊΠΈΡ… ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π½Π΅ Ρ€Π°Π·Ρ€Π΅ΡˆΠ°Π΅Ρ‚ΡΡ ΠΈΠ·Ρ‹ΠΌΠ°Ρ‚ΡŒ Π½Π°Π΄Π·Π΅ΠΌΠ½ΡƒΡŽ фитомассу, для опрСдСлСния энСргСтичСских ΠΈ динамичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ.Π’Ρ‹Π²ΠΎΠ΄Ρ‹. ΠŸΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ, соотвСтствуСт стадии развития экосистСмы Π²ΠΎ врСмя Π°Π²Ρ‚ΠΎΠ³Π΅Π½Π½ΠΎΠΉ сукцСссии ΠΈ зависит ΠΎΡ‚ фитомассы ΠΈ Π΅Π΅ возраста. Π—Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ энтропии экосистСмы Π±ΡƒΠ΄Π΅Ρ‚ ΠΎΠ±Ρ€Π°Ρ‚Π½ΠΎ ΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŽ Π΅Π΅ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ. Π­Ρ‚ΠΎΡ‚ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ с использованиСм Ρ„ΠΈΡ‚ΠΎΠΈΠ½Π΄ΠΈΠΊΠ°Ρ†ΠΈΠΉΠ½Π½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°. ΠŸΡ€ΠΈ этом ΠΏΠΎΠ³Ρ€Π΅ΡˆΠ½ΠΎΡΡ‚ΡŒ измСрСния Π±ΡƒΠ΄Π΅Ρ‚ ΠΊΠΎΠ»Π΅Π±Π°Ρ‚ΡŒΡΡ Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ 3 % -10 %. ΠœΡ‹ ΠΌΠΎΠΆΠ΅ΠΌ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ Π΅Ρ‘ ΠΏΡ€ΠΈ ΠΏΠ»Π°Π½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ Ρ€Π°Π±ΠΎΡ‚ Π² Π·Π°ΠΏΠΎΠ²Π΅Π΄Π½ΠΈΠΊΠ°Ρ…, Π½Π° Ρ€Π΅ΠΊΡƒΠ»ΡŒΡ‚ΠΈΠ²ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… тСрриториях, Π² лСсном хозяйствС ΠΈ Ρ‚Π°ΠΊ Π΄Π°Π»Π΅Π΅. Π’Ρ‹Π±Ρ€Π°Π½Π½Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ Π΄Π°Π΅Ρ‚ высокий экономичСский эффСкт ΠΈ создаСт возмоТности для ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΡ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈ ΠΎΠΊΡ€ΡƒΠΆΠ°ΡŽΡ‰Π΅ΠΉ срСдыУ ΠΏΡƒΠ±Π»Ρ–ΠΊΠ°Ρ†Ρ–Ρ— Π°Π½Π°Π»Ρ–Π·ΡƒΡŽΡ‚ΡŒΡΡ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ Π΄ΠΎΡΠ»Ρ–Π΄ΠΆΠ΅Π½ΡŒ Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ Π΅Π½Π΅Ρ€Π³Π΅Ρ‚ΠΈΡ‡Π½ΠΈΡ… характСристик СкосистСм. ΠœΠ΅Ρ‚ΠΎΡŽ Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Ρ” Π½Π° основі ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡ–Π² ΠΊΡ–Π»ΡŒΠΊΠΎΡΡ‚Ρ– Π½Π°Π΄Π·Π΅ΠΌΠ½ΠΎΡ— фітомаси, Ρ—Ρ— Π²Ρ–ΠΊΡƒ Ρ‚Π° Π·ΠΌΡ–Π½ΠΈ флористичного складу, продСмонструвати ΠΌΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŒ Ρ„Ρ–Ρ‚ΠΎΡ–Π½Π΄ΠΈΠΊΠ°Ρ†Ρ–ΠΉΠ½ΠΎΡ— ΠΎΡ†Ρ–Π½ΠΊΠΈ Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ СкосистСм, Π²ΠΈΠ·Π½Π°Ρ‡ΠΈΡ‚ΠΈ як ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΠΈ Π½Π°Π΄Π·Π΅ΠΌΠ½ΠΎΡ— фітомаси Π·Π°ΠΊΠΎΠ½ΠΎΠΌΡ–Ρ€Π½ΠΎ Π·Ρ€ΠΎΡΡ‚Π°ΡŽΡ‚ΡŒ ΠΏΡ–Π΄ час саморозвитку ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π½ΠΈΡ… СкосистСм (Π°Π²Ρ‚ΠΎΠ³Π΅Π½Π½ΠΎΡ— сукцСсії).ΠœΠ°Ρ‚Π΅Ρ€Ρ–Π°Π»ΠΈ Ρ– ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ. НадзСмна фітомаса вимірялася Π² СкосистСмах, Ρ‰ΠΎ Π·Π½Π°Ρ…ΠΎΠ΄ΡΡ‚ΡŒΡΡ Π½Π° Ρ€Ρ–Π·Π½ΠΈΡ… стадіях Π°Π²Ρ‚ΠΎΠ³Π΅Π½Π½ΠΎΡ— сукцСсії. Для урівноваТСння коливання ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡ–Π², Π²ΠΈΠΊΠ»ΠΈΠΊΠ°Π½ΠΈΡ… домінуванням Π²ΠΈΠ΄Ρ–Π² Ρ–Π· Ρ€Ρ–Π·Π½ΠΈΠΌ Ρ‚ΠΈΠΏΠΎΠΌ фотосинтСзу, використано ΠΏΠΎΠΏΡ€Π°Π²ΠΊΡƒ Π½Π° Π²Ρ–ΠΊ Π½Π°Π·Π΅ΠΌΠ½ΠΎΡ— фітомаси.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ. Показник Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΡ–Ρ€Π½ΠΎ зростає ΠΏΡ–Π΄ час Π°Π²Ρ‚ΠΎΠ³Π΅Π½Π½ΠΎΡ— сукцСсії. Π—ΠΎΠ²Π½Ρ–ΡˆΠ½Ρ– Π²ΠΏΠ»ΠΈΠ²ΠΈ Π²Ρ–Π΄Ρ…ΠΈΠ»ΡΡŽΡ‚ΡŒ ΠΉΠΎΠ³ΠΎ Π²Ρ–Π΄ основного Ρ‚Ρ€Π΅Π½Π΄Ρƒ. АнтропогСнний Π²ΠΏΠ»ΠΈΠ² часто Π·ΠΌΡ–Ρ‰ΡƒΡ” ΡΡƒΠΊΡ†Π΅ΡΡ–ΡŽ Π² ΠΏΡ€ΠΎΡ‚ΠΈΠ»Π΅ΠΆΠ½ΠΎΠΌΡƒ напрямі. ΠœΠ΅Ρ‚ΠΎΠ΄ Π°ΠΏΡ€ΠΎΠ±ΠΎΠ²Π°Π½ΠΎ Π½Π° Ρ‚Π΅Ρ€ΠΈΡ‚ΠΎΡ€Ρ–Ρ— ΠŸΡ€Π°Π²ΠΎΠ±Π΅Ρ€Π΅ΠΆΠ½ΠΎΠ³ΠΎ ΠŸΠΎΠ»Ρ–ΡΡΡ Π² Π£ΠΊΡ€Π°Ρ—Π½Ρ–. Π ΠΎΠ·ΡˆΠΈΡ€Π΅Π½Π½Ρ Π±Π°Π·ΠΈ Π΄Π°Π½ΠΈΡ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ–Π² визначСння ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΠ° Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ дозволяє Π²ΠΈΠ·Π½Π°Ρ‡Π°Ρ‚ΠΈ Ρ†Π΅ΠΉ ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊ Ρ–Π· Π΄ΠΎΡΡ‚Π°Ρ‚Π½ΡŒΠΎΡŽ для ΠΏΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½ΠΈΡ… Ρ– Ρ‚Π΅ΠΎΡ€Π΅Ρ‚ΠΈΡ‡Π½ΠΈΡ… Ρ†Ρ–Π»Π΅ΠΉ Ρ‚ΠΎΡ‡Π½Ρ–ΡΡ‚ΡŽ. Π¦Π΅ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ Π΄Π°Ρ” ΠΌΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΠΈ дослідТСння Ρ‚Π΅Ρ€ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ (запасів Π΅Π½Π΅Ρ€Π³Ρ–Ρ— ΠΉ Π΅Π½Ρ‚Ρ€ΠΎΠΏΡ–Ρ—) Ρ‚Π° Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ СкосистСм Π±Π΅Π·ΠΊΠΎΠ½Ρ‚Π°ΠΊΡ‚Π½ΠΈΠΌ способом Π±Π΅Π· Π²ΠΏΠ»ΠΈΠ²Ρƒ Π½Π° біорізноманіття рослин. Π’Ρ–Π½ Ρ” Π½Π°ΠΉΠ±Ρ–Π»ΡŒΡˆ прийнятним для Ρ‚Π°ΠΊΠΈΡ… Π΄ΠΎΡΠ»Ρ–Π΄ΠΆΠ΅Π½ΡŒ Π² ΠΌΠ΅ΠΆΠ°Ρ… ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π½ΠΎ-Π·Π°ΠΏΠΎΠ²Ρ–Π΄Π½ΠΈΡ… Ρ‚Π΅Ρ€ΠΈΡ‚ΠΎΡ€Ρ–ΠΉ. Π’ ΠΌΠ΅ΠΆΠ°Ρ… Ρ‚Π°ΠΊΠΈΡ… об’єктів Π½Π΅ Π΄ΠΎΠ·Π²ΠΎΠ»ΡΡ”Ρ‚ΡŒΡΡ Π²ΠΈΠ»ΡƒΡ‡Π°Ρ‚ΠΈ Π½Π°Π΄Π·Π΅ΠΌΠ½Ρƒ фітомасу, для визначСння Π΅Π½Π΅Ρ€Π³Π΅Ρ‚ΠΈΡ‡Π½ΠΈΡ… Ρ– Π΄ΠΈΠ½Π°ΠΌΡ–Ρ‡Π½ΠΈΡ… ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡ–Π².Висновки. Показник Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ, Ρ‰ΠΎ Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π°Ρ” полоТСнню Π½Π° Π»Ρ–Π½Ρ–Ρ— Π°Π²Ρ‚ΠΎΠ³Π΅Π½Π½ΠΎΡ— сукцСсії, Π·Π°Π»Π΅ΠΆΠΈΡ‚ΡŒ Π²Ρ–Π΄ фітомаси Ρ‚Π° Ρ—Ρ— Π²Ρ–ΠΊΡƒ. ЗначСння Π΅Π½Ρ‚Ρ€ΠΎΠΏΡ–Ρ— СкосистСми Π±ΡƒΠ΄Π΅ ΠΎΠ±Π΅Ρ€Π½Π΅Π½ΠΎ ΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†Ρ–ΠΉΠ½Π΅ ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡƒ Ρ—Ρ— Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ. Π¦Π΅ΠΉ ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊ ΠΌΠΎΠΆΠ΅ Π±ΡƒΡ‚ΠΈ Π²ΠΈΠ·Π½Π°Ρ‡Π΅Π½ΠΈΠΌ Π· використанням Ρ„Ρ–Ρ‚ΠΎΡ–Π½Π΄ΠΈΠΊΠ°Ρ†Ρ–ΠΉΠ½ΠΈΡ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ. ΠŸΡ€ΠΈ Ρ†ΡŒΠΎΠΌΡƒ ΠΏΠΎΡ…ΠΈΠ±ΠΊΠ° Π²ΠΈΠΌΡ–Ρ€ΡŽΠ²Π°Π½Π½Ρ ΠΊΠΎΠ»ΠΈΠ²Π°Ρ‚ΠΈΠΌΠ΅Ρ‚ΡŒΡΡ Π² Π΄Ρ–Π°ΠΏΠ°Π·ΠΎΠ½Ρ– 3 %-10 %. Ми ΠΌΠΎΠΆΠ΅ΠΌΠΎ Ρ†Π΅ використовувати ΠΏΡ–Π΄ час планування Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π² Π·Π°ΠΏΠΎΠ²Ρ–Π΄Π½ΠΈΠΊΠ°Ρ…, Π½Π° Ρ€Π΅ΠΊΡƒΠ»ΡŒΡ‚ΠΈΠ²ΠΎΠ²Π°Π½ΠΈΡ… зСмлях, Π² лісовому господарстві Ρ‚ΠΎΡ‰ΠΎ. ΠžΠ±Ρ€Π°Π½ΠΈΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ Π΄Π°Ρ” високий Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–Ρ‡Π½ΠΈΠΉ Π΅Ρ„Π΅ΠΊΡ‚ Ρ‚Π° ΡΡ‚Π²ΠΎΡ€ΡŽΡ” моТливості покращСння відносини людини Ρ–Π· довкілля

    Lumbricides as a bio-indicators of the influence of electrical transmission line in the conditions of Ukrainian Polissia

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    The complex interaction of a man and the environment requires the creation of algorithms for predict- ing the effects of anthropogenic impact. This requires the creation of the ecosystem models where all their basic elements and relationships are taken into account. One of the most effective methods for choosing the most informative differential elements of a system is the development and the implemen- tation of bio-indication models. Nowadays the important task is the development of the bio-indication methods for various anthropogenic complex effects.The electrical transmission lines carry out a specific integrated environmental impact. It is created on the changes in the environment under the influence of magnetic and electric fields and the long-term consequences of their interaction with ecosystem components. This effect is negative for the most representatives of biota and for earthworms in particular. We observe how the number of species de- creases, the species diversity reduces and the morphological parameters change towards species with a shorter body length under reaching the electrical transmission lines.Some genera of the earthworms are able to survive under the effects of the modern electrical transmis- sion lines, although this reflects their abundance and morphological parameters. These species include Aporrectodea caliginosa and Aporrectodea trapezoides. They can be used as diagnostic genera of impact of the electrical transmission lines on biota. They can be genera indicators for the determination of the effect of the electrical transmission lines. The presence of Lumbricus terrestris shows the low electrical transmission line effects, and the presence of Aporrectodea roseΠ° or Aporrectodea longΠ° shows low or moderate effects.We can create bioindication models according to the relations between groups of species of dominant and subdominant specimens formed by the body size. Under the condition of creating a wide data-base and establishing the vitality parameters, it is possible to develop more advanced and efficient algorithms for the synbioindicator analysis of the impact of the electrical transmission lines on the environment
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