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Enregistrement W3044799255 · doi:10.31857/s0024114820010106

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

2020· article· ru· W3044799255 sur OpenAlex

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Notice bibliographique

RevueЛесоведение · 2020
Typearticle
Langueru
DomaineAgricultural and Biological Sciences
ThématiqueSoil and Environmental Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,445
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0100,010

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,179
Écart entre enseignants0,135 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle