СТРУКТУРА ГОРЮЧИХ МАТЕРИАЛОВ В СОСНЯКАХ РАЗНОГО ВОЗРАСТА КРАСНОЯРСКОЙ ЛЕСОСТЕПИ
Notice bibliographique
Résumé
RUSSIAN JOURNAL OF FOREST SCIENCE, 2017, No. 5, P. 431-436, DOI: 10.7868/S0024114817060055 THE STRUCTURE OF FOREST FUELS IN VARIOUSLY AGED PINE WOODLANDS OF FOREST-STEPPE DOMAIN IN KRASNOYARSK N. M. Kovaleva, R. S. Sobachkin, D. S. Sobachkin, A. E. Petrenko Forest Institute, Siberian Branch of the Russian Academy of Sciences Academgorodok 50 bldg. 28, Krasnoyarsk, 660036, Russia Е-mail: nk-75@mail.ru Received 22 March 2016 Storages and structure of forest fuels were documented in herbs-green mosses pine forests of different age in forest-steppe domain. Storages of forest fuels have grown up to 31.95 t ha -1 (mature pine forest) and 29.43 t ha -1 (middle-aged pine forest) because the last fire took place more than 50 years ago. Forest litter contributed 83.4% (24.5 t ha -1 ) in the middle-aged and 79.3% (25.3 t ha -1 ) in the mature stand. Fall in the mature stand 4.8 t ha -1 (15.1%) increased the one in the middle-aged stand 3.2 t ha -1 (11.0%). Ground cover contributed 2.8% in the middle-aged pine forest and 2.6% in the mature pine forest to total storages of forest fuel. Wooded fall contributed 0.98 t ha -1 (3.1%) in the mature stand, and 0.84 t ha -1 (2.9%) in the middle-aged stand. We found that fire conducting fuels (forest litter, tree waste, mosses) contribute 30.8 t ha -1 in the mature forest, and 28.4 t ha -1 in the middle-aged forest. Long-term period without fire has increased the fire danger in the stands of different ages. Highly intensive and stable surface fire is probable in the mature and middle-aged pine stands. They can cause their serious injury or even death. Keywords: forest fuels, ground cover, forest litter, fall, wooded fall fuels, pine forests. REFERENCES Agroklimaticheskii spravochnik po Krasnoyarskomu krayu i Tuvinskoi avtonomnoi oblasti (Handbook of agroclimatic features in Krasnoyarsk krai and Tuva autonomous oblast), Leningrad: Gidrometeoizdat, 1961, 288 p. Bugaeva K.S., Struktura i dinamika lesnoi rastitel'nosti ''Pogorel'skogo bora'' (Krasnoyarskaya lesostep'). Avtoreferat diss. kand. biol. nauk (Structure and dynamics of forest vegetation in Pogorelskii bor, Krasnoyarsk forest-steppe. Extended abstract of candidate's biol. sci. thesis), Krasnoyarsk: IL SO RAN, 2009, 18 p. Chernykh V.A., Furyaev V.V., Lesnye pozhary v lentochnykh borakh Kulundinskoi stepi (Wildfires in ribbon pine forests in Kulunda steppe), Novosibirsk: Nauka, 2011, 175 p. Evdokimenko M.D., Dinamika lesnoi podstilki v sosnyakakh Zabaikal'ya posle nizovykh pozharov (Dynamics of forest litter after creeping fire in pine forests of Transbaikalia), Rol' podstilki v lesnykh biogeotsenozakh , Krasnoyarsk, 14-16 September 1983, Moscow: Nauka, 1983, pp. 62. Evdokimenko M.D., Vozdeistvie pozharov na komponenty ekosistemy srednetaezhnykh sosnyakov Sibiri (The effect of fires on ecosystem components in pine forests of the middle taiga in Siberia), Novosibirsk: Nauka, 2014, 227 p. Furyaev V.V., Rol' pozharov v protsesse lesoobrazovaniya , Novosibirsk: Nauka, 1996, 253 p. Furyaev V.V., Samsonenko S.D., Furyaev I.V., Pirologicheskaya kharakteristika kompleksov napochvennykh goryuchikh materialov v dominiruyushchikh tipakh lesa Verkhne-Obskogo massiva (yugo-vostok Zapadnoi Sibiri) (Pyrologic features of surface fuel complexes in dominant forest types of Upper Ob woodland (southeast of West Siberia)), Lesnoe khozyaistvo , 2015, No. 1, pp. 36–37. Isaev A.S., Stvolovye vrediteli listvennitsy daurskoi (Stem pests of dahurian larch), Moscow: Nauka, 1966, 148 p. Ivanova G.A., Zonal'no-ekologicheskie osobennosti lesnykh pozharov v sosnyakakh Srednei Sibiri. Avtoreferat diss. dokt. biol. nauk (Zonal and environmental features of wildfires in pine forests of Central Siberia. Extended abstract of doctor's biol. sci. thesis), Krasnoyarsk: IL SO RAN, 2005, 40 p. Ivanova G.A., Ivanov V.A., Perevoznikova V.D., Formirovanie struktury i biomassy napochvennogo pokrova v sosnyakakh Krasnoyarskoi lesostepi pod vozdeistviem pozharov (Structure and biomass of ground cover in pine forests of forest-steppe in Krasnoyarsk region: forming effect of wildfires), Lesnaya taksatsiya i lesoustroistvo , 2002, Vol. 31, No. 1, pp. 91–97. Kukavskaya E.A., Ivanova G.A., Conard S.G., Mcrae D.J., Ivanov V.A., Biomass dynamics of central Siberian Scots pine forests following surface fires of varying severity, International Journal of Wildland Fire , 2014, Vol. 23, No. 6, pp. 872-886. Kurbatskii N.P., Issledovanie kolichestva i svoistv lesnykh goryuchikh materialov (Studying amounts and properties of forest fuel), In: Voprosy lesnoi pirologii ( Challenges of the forest pyrology ), Krasnoyarsk: Izd-vo ILiD SO AN SSSR, 1970, pp. 5-58 (385 p.). Kurbatskii N.P., Ivanova G.A., Pozharoopasnost' sosnyakov lesostepi i puti ee snizheniya (Fire hazard in forest-steppe pine forests: the ways to decrease it), Krasnoyarsk: Izd-vo ILiD SO AN SSSR, 1987, 113 p. Matveeva T.A., Zapasy lesnykh goryuchikh materialov v gornykh lesakh yuzhnoi Sibiri (Wood combustibles resources in mountain forests of South Siberia), Vestnik Altaiskogo gosudarstvennogo agrarnogo universiteta , 2008, No. 12 (50), pp. 30–33. Mcrae D.J., Alexander M.E., Stocks B.J., Measurement of fuels and fire behavior on prescribed burns, Canadian forestry service department of the environment report , 1979, No. 0-X-287, pp. 44. Spravochnik po klimatu SSSR. Krasnoyarskii krai, Tuvinskaya ASSR. Temperatura vozdukha i pochvy (USSR climate data. Krasnoyarsk krai, Tuvan Autonomous Soviet Socialistic Republic. Air and soil temperature), Leningrad: Gidrometeoizdat, 1967, Vol. 21, Part 2, 504 p. Tsvetkov P.A., Zapasy goryuchikh materialov v lesakh severo-vostoka Evenkii (Pool of fuels in forests of northeastern Evenkia), Lesnoe khozyaistvo , 2001, No. 4, pp. 33–35. Valendik E.N., Verkhovets S.V., Kisilyakhov E.K., Ivanova G.A., Bryukhanov A.V., Kosov I.V., Goldammer I., Tekhnologii kontroliruemykh vyzhiganii v lesakh Sibiri (Technologies of supervised clean burns in Siberian forests), Krasnoyarsk: IL SO RAN - SFU, 2011, 159 p. Van Wagner C.E., The line intersect method in forest fuel sampling, Forest Science , 1968, Vol. 14, No. 1, pp. 20–26. Zapevalov A.V., Kisilyakhov E.K., Poslepozharnaya regeneratsiya lesnykh goryuchikh materialov v sosnyakakh Krasnoyarskoi lesostepi (Post-fire recovery of forest fuels in pine forests of Krasnoyarsk forest-steppe), In: Botanicheskie issledovaniya v Sibiri (Botanical studies in Siberia) Krasnoyarsk: Polikom, 2010, Vol. 18, pp. 74–77 (212 p.). Zhila S.V., Kukavskaya E.A., Kompleksy napochvennykh goryuchikh materialov v listvennichnikakh Nizhnego Priangar'ya (Complexes of surface fuels in larch forests of Lower Angara region), In: Botanicheskie issledovaniya v Sibiri (Botanical studies in Siberia) Krasnoyarsk: Izd-vo Krasnoyarskogo otdeleniya RBO, 2009, Vol. 17, pp. 20–23 (120 p.).
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,007 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».