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Record W3044799255 · doi:10.31857/s0024114820010106

Роль высотно-поясной основы и дистанционных данных в задачах устойчивого управления горными лесами

2020· article· ru· W3044799255 on OpenAlex

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aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
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Bibliographic record

VenueЛесоведение · 2020
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicSoil and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiology

Abstract

fetched live from OpenAlex

RUSSIAN JOURNAL OF FOREST SCIENCE, 2020, No. 1, P. 3-16 THE ROLE OF AN ALTITUDINAL ZONAL BASIS AND REMOTE SENSING DATAIN SUSTAINABLE MANAGEMENT OF THE MOUNTAIN FORESTS D.I.Nazimova 1 ,Ye.I. Ponomarev 1,2 , M.Ye.Konovalova 1 1 Sukachev Institute of the Forest SB RAS Akademgorodok, 50, bld. 28, 660036 Krasnoyarsk, Russia 2 Siberian Federal University, Svobodny prospect, 79, 660041 Krasnoyarsk, Russia E-mail: inpol@mail.ru Received 31 January 2019 This study was performed to prove the necessity for the enhancement of principles of natural basis utilization for the ecosystem-focused forest management in mountainous conditions, using all the collected knowledge, regional data bases and the new remote sensing facilities. The results of using of the spectral features of the vegetation for studying the altitudinal differenciation of forest cover while also employing the thermal sensing, were shown on the example of the Altai-Sayan mountain region. Thus, in the Yenisei part of the Sayans forest-steppe, subtaiga, light coniferous-small-leaved-deciduous forest, alpine dark coniferous, alpine taiga and subalpine classes of altitudinal zones complexes can be defined. For each of those separate systems of forest management should be employed, with taking into account natural features of those forests and their management purpose. A relevant task for the mountain forestry and the multipurpose forest use in general is the enhancement of the ecological and geographical basis and its cartographic realization in middle-scale maps, reflecting not only the formational composition of forest cover, but also the altitudinal ecosystems classes. Modern satellite systems, in coupled with GIS-technologies open new possibilities for the forest cover inventory, monitoring and study methods. It allows us to start implementing a qualitative natural basis into forest management practices, that is currently highly relevant on all levels of forest planning from single forest plot exploitation plans to the forest plants of the Russian Federation subjects. Key words: mountain forests, forest cover classification, remote sensing, complexes of forest types by altitudinal zones, thermal channels of Terra/MODIS, seasonal functioning. Acknowledgements: This study was supported by the Russian Foundation for Basic Research (18-05-00781 A) DOI: 10.31857/S0024114820010106 REFERENCES Bartalev S.A., Belward A.S., Land cover and phenological monitoring in boreal ecosystems using the SPOT - VEGETATION instrument: new observations for climate studies, Proceedings of the Use of Earth Observation data for phenological monitoring , European Commission, JRC, Ispra (VA), Italy 12th-13th December, 2002, pp. 41–48. Bartalev S.A., Egorov V.A., Ershov D.V., Isaev A.S., Lupyan E.A., Plotnikov D.E., Uvarov I.A., Sputnikovoe kartografirovanie rastitel'nogo pokrova Rossii po dannym spektroradiometra MODIS (Satellite mapping of the Russian plant cover by spectral radiometer MODIS), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa , 2011, Vol. 8, No. 4, pp. 285–302. Bartalev S.A., Stytsenko F.V., Egorov V.A., Loupian E.A., Sputnikovaya otsenka gibeli lesov Rossii ot pozharov (Satellite-based assessment of Russian forest fire mortality), Lesovedenie. , 2015, No. 2, pp. 83–94. Drobushevskaya O.V., Ponomarev E.I., Opyt ispol'zovaniya dannykh TERRA/Modis dlya sravneniya fenologicheskikh ritmov svetlokhvoinoi podtaigi i temnokhvoinoi taigi Prieniseiskoi chasti Sayan (On the experience in TERRA/Modis data application for phenological rhythms comparison between a light-coniferous taiga and dark-coniferous taiga in Yenisey region of Sayans), Botanicheskie issledovaniya v Sibiri , 2006, Vol. 14, pp. 35–38. Goskomles SSSR , 1990, No. 74. Isaev A.S., Korovin G.N., Aktual'nye problemy lesnoi politiki Rossii (Relevant problems of Russian forest policy), Lesnoe khoz-vo , 2001, No. 3, pp. 9–12. Isaev A.S., Raznoobrazie i dinamika lesnykh ekosistem Rossii (Forest ecosystems of Russia: diversity and dynamics), Moscow: Tovarishchestvo nauchnykh izdanii KMK, 2012, Vol. 1, 461 p. Isaev A.S., Zadachi izucheniya lesov s ispol'zovaniem aerokosmicheskikh sredstv (Objectives for the forests studying by remote sensing methods) In: Issledovanie taezhnykh landshaftov distantsionnymi metodami (Study of forest landscapes with remote techniques), Novosibirsk: Nauka, 1979, pp. 3–10. Issledovanie taezhnykh landshaftov distantsionnymi metodami (Study of forest landscapes with remote techniques), Novosibirsk: Nauka, 1979, 216 p. Kalashnikov E.N., Pervunin V.A., Korotkov I.A., Landshaftnye printsipy i tekhnologiya lesotipologicheskogo kartografirovaniya s ispol'zovaniem materialov kosmo- i aeros’emki (Landscape principles and typological forest cartography technology using the satellite and aerial survey data), In: Issledovanie lesov aerokosmicheskimi metodami , Novosibirsk: Nauka, 1987, pp. 34–54. Kedrovye lesa Sibiri (Stone pine forests of Siberia), Novosibirsk: Nauka, 1985, 257 p. Kireev D.M., Rubtsov N.I., Landshaftnyi metod lesnogo deshifrirovaniya aerosnimkov (Landscape technique of forest aerial images interpretation) , Novosibirsk: Nauka, 1976, 320 p. Konovalova M.E., Drobushevskaya O.V., Post-fire dynamics of humid subtaiga in low mountain part of East Sayan, Contemporary Problems of Ecology , 2013, No. 6(5), pp. 469–476. Konovalova M.E., Vosstanovitel'no-vozrastnaya dinamika smeshannykh nasazhdenii v nizkogornykh landshaftakh Vostochnogo Sayana (Regeneration and age dynamics of mixed forest in low mountain landscapes of the Eastern Sayan Mountains), Lesovedenie , 2004, No. 3, pp. 1–7. Kukavskaya E.A., Soja A.J., Petkov A.P., Ponomarev E.I., Ivanova G.A., Conard S.G., Fire emissions estimates in Siberia: Evaluation of uncertainties in area burned, land cover, and fuel consumption, Canadian Journal of Forest Research , 2012, No. 43, pp. 493–506. Lu M., Chen B., Liao X., Yue T., Yue H., Ren S., Li X., Nie Z., Xu B., Forest Types classification Based on Multi-Source Data Fusion, Remote Sensing , 2017, No. 9, pp. 1153. Nazimova D.I., Ponomarev E.I., Fedotova E.V., Identification and mapping of altitudinal belt classes of land cover with use of NOAA/AVHRR imagery, In: Remote researches and mapping of geosystems structure and dynamics , Novosibirsk: SB RAS, 2000, pp. 76-81. Nazimova D.I., Ponomarev E.I., Stepanov N.V., Fedotova E.V., Chernevye temnokhvoinye lesa na yuge Krasnoyarskogo kraya i problemy ikh obzornogo kartografirovaniya (Chern dark coniferous forests in Southern Krasnoyarsk Krai and problems of their general mapping), Lesovedenie , 2005, No. 1, pp. 12–18. Onuchin A.A., Regional'nye problemy ekosistemnogo lesovodstva , Krasnoyarsk: Institut lesa im. V.N. Sukacheva SO RAN, 2007, 330 p. Polezhaev A.N., Vegetation of the Northern Russian Far East in Geographic Information Systems, Russian Journal of Ecology , 2009, Vol. 40, No. 3, pp. 166–171. Polikarpov N.P., Chebakova N.M., Nazimova D.I., Klimat i gornye lesa Yuzhnoi Sibiri (Climate and montane forests of South Siberia), Novosibirsk: Nauka, 1986, 224 p. Ponomarev E.I., Kharuk V.I., Wildfire Occurrence in Forests of the Altai–Sayan Region under Current Climate Changes, Contemporary Problems of Ecology , 2016, Vol. 9, No. 1, pp. 29–36. Ponomarev E.I., Ponomareva T.V., Vliyanie poslepozharnykh temperaturnykh anomalii na sezonnoe protaivanie pochv merzlotnoi zony Srednei Sibiri po distantsionnym dannym (The Effect of Postfire Temperature Anomalies on Seasonal Soil Thawing in the Permafrost Zone of Central Siberia Evaluated Using Remote Data), Sibirskii ekologicheskii zhurnal , 2018, No. 4, pp. 477–486. Ponomarev E.I., Shvetsov E.G., Kharuk V.I., Fires in the Altai-Sayan Region: Landscape and Ecological Confinement, Izvestiya, Atmospheric & Oceanic Physics , 2016, Vol. 52, No. 7, pp. 725–736. Ponomareva T.V., Ponomarev E.I., Shishikin A.S., Shvetsov E.G., Monitoring transformatsii staropakhotnykh pochv lesostepnoi zony pri lesovosstanovlenii (Monitoring of transformation of postagrogenic soils in forest-steppe zone during the process of reforestation), Geografiya i prirodnye resursy , 2018, No. 2, pp. 154–161. Smagin V.N., Il'inskaya S.A., Nazimova D.I., Novosel'tseva I.F., Cherednikova Y.S., Tipy lesov gor Yuzhnoi Sibiri (Forest types in the mountains of the Southern Siberia), Novosibirsk: Nauka, 1980, 336 p. Vermote, E., Wolfe, R., MOD09GQ MODIS/Terra Surface Reflectance Daily L2G Global 250m SIN Grid V006 available at: http://doi.org/10.5067/MODIS/MOD09GQ.006 Wan Z., Hook S., Hulley G., MOD11A1 MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid V006, available at: http://doi.org/10.5067/MODIS/MOD11A1.006. Zhukov A.B., Polikarpov N.P., Osnovy organizatsii i vedeniya lesnogo khozyaistva v basseine ozera Baikal (Basis of forestry management in Lake Baikal basin), Lesnoe khozyaistvo , 1973, No. 1, pp. 68–77.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.010

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.179
Teacher spread0.135 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it