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Record W2612555599 · doi:10.22092/ijfpr.2012.6108

زادآوری طبیعی گونه های درختی در ارتباط با ویژگی های روشنه ها در یک راشستان طبیعی (مطالعه موردی: بخش گرازبن جنگل خیرود)

2012· article· fa· W2612555599 on OpenAlexaboutno aff
علیرضا آملی کندری, محمدرضا مروی مهاجر, محمود زبیری, وحید اعتماد

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2012
Typearticle
Languagefa
FieldEnvironmental Science
TopicPlant Ecology and Soil Science
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

- امان‌زاده، ب.، امانی، م.، امین‌املشی، م. و صالحی، م.، 1385. بررسی زادآوری راش در روشنه‌های طبیعی جنگلهای اسالم. پژوهش وسازندگی، 71: 25-19. - حبیب‌پور گتابی، ک. و صفری شالی، ر.، 1388. راهنمای جامع کاربرد SPSS در تحقیقات پیمایشی. انتشارات متفکران، چاپ دوم، 860 صفحه. - حجتی، س.م.، 1378. بررسی نحوه پراکنش و ساختار سنی تجدید حیات طبیعی گونه راش در راشستان‌های بخش گرازبن جنگل خیرودکنار- نوشهر. پایان‌نامه کارشناسی ارشد، دانشکده منابع طبیعی دانشگاه تهران، 67 صفحه. - دلفان اباذری، ب.، ثاقب‌طالبی، خ. و نمیرانیان، م.، 1383. بررسی سطوح روشنه‌های زادآوری بر وضعیت کمی نهالهای استقرار یافته در قطعه شاهد جنگلهای کلاردشت طرح لنگا. فصلنامه تحقیقات جنگل و صنوبر ایران، 12 (2): 266-251. - زبیری، م.، 1384. آمار و اندازه‌گیری جنگل. انتشارات دانشگاه تهران، چاپ دوم، 400 صفحه. - گودرزی، غ.، 1375. بررسی وضعیت زادآوری راش در بخش 2 طرح جنگلداری لیوان و بنفشه‌تپه. پایان‌نامه کارشناسی ارشد، گروه جنگل‌داری و اقتصاد جنگل، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، 78 صفحه. - مرتضی‌پور، ص.، مهاجر، م.ر.، ثاقب‌طالبی، خ. و زاهدی، ق.، 1384. بررسی رابطه زادآوری درخت راش با شکل زمین. تحقیقات جنگل و صنوبر ایران، 13 (4): 474-447. - مروی مهاجر، م.ر.، 1376. جزوه جنگل‌شناسی تکمیلی. دانشکده منابع طبیعی دانشگاه تهران، 55 صفحه. - مروی مهاجر، م.ر، 1385. جنگل‌شناسی و پرورش جنگل. انتشارات دانشگاه تهران، چاپ دوم، 387 صفحه. - موسوی میرکلایی، س.ر، ثاقب‌طالبی، خ.، طبری، م. و پورمجیدیان، م.ر.، 1382. تعیین اندازه سطح حفره تاج‌پوشش برای بهبود زادآوری راش. مجله منابع طبیعی ایران، نشریه دانشکده منابع طبیعی دانشگاه تهران، 56 (1و2): 46-39. - مهربان‌فر، ز.، 1388. مقایسه غنا و نوع گونه‌های درختی با ابعاد مختلف قطعه نمونه (مطالعه موردی: بخش گرازبن جنگل آموزشی و پژوهشی خیرود). سمینار کارشناسی ارشد، دانشکده منابع طبیعی دانشگاه تهران، 35 صفحه. - Adeniji, B.A., Kahissai, K.T. and Kisingo, A.W. 2004. Impact of gap size on tree species regeneration in different location in Kibale forest. Plant and Forest Ecology, 86: 217-227. - Brokaw, N.V.L., 1982. The definition of treefall gap and its effect on measures of forest dynamics. Biotropica, 11: 158-162. - Diaci, J., Pisek, R. and Boncina, A., 2005. Regeneration in experimental gaps of subalpine Picea abies forest in the Slovenian Alps. European Journal of Forest Research, 124: 29-36. - Dobrowolska, D. and Veblen, T.T., 2008. Treefall-gap structure and regeneration in mixed Abies alba stands in central Poland. Forest Ecology and Management, 255: 3469-3476. - Gagnon, J.L., Jokela, E.J., Moser, W.K. and Huber, D.A., 2004. Characteristic of gaps and natural regeneration in mature longleaf pine flatwood ecosystems. Forest Ecology and Management, 187: 373-380. - Huth, F. and Wagner, S., 2006. Gap structure and establishment of Silver birch regeneration (Betula pendula Roth.) in Norway spruce stands (Picea abies L. Karst.). Forest Ecology and Management, 229: 314-324. - Lertzman, K.P. and Krebs, C.J., 1991. Gap-phase structure of a subalpine old growth forest,Canadian Journal of Forest Research, 21: 1730-1741. - Liu, Q. and Hytteborn, H., 1991. Gap structure, disturbance and regeneration in a primeval Picea abies forest. Journal of Vegeteation Science, 2: 391-402. - Martins, S.V. and Rodrigues, R.R., 2002. Gap-phase regeneration in a semideciduous mesophytic forest, south-eastern Brazil.Plant Ecology, 3: 1-12. - Myers, G.P., Newton, A.C. and Melgarejo, O., 2000. The influence of canopy size on natural regeneration of Brazil nut (Bertholletia excelsa) in Bolivia. Forest Ecology and Management, 127: 119-128. - Pedersen, B.S. and Howard, J.L., 2004. The influence of canopy gaps on overstory tree and forest growth rates in a mature mixed-age, mixed-species forest. Forest Ecology and Management, 196: 351-366. - Runkle, J.R., 1981. Gap regeneration in some old-growth forests of the eastern United States. Ecology, 62: 1041-1051. - Yamamoto, S., 2000. Forest gap dynamic and tree regeneration. Journal of Forest Research, 5: 223-229. Nowadays the investigation and identification of natural process such as succession and gaps existence in forest ecosystems have been considered extently in forests management programs. This study examined the regeneration of tree species in relation to size, shape, slope gradient and direction of gaps in a Fagetum community in Gorazbon district of Kheyrud Forest, northern Iran. Three sample area, each 25 ha, were selected and after field study, all gaps within the compartments 317, 318 and 319 were identified. Regeneration of all tree species were record in the gaps, using 100% inventory. Beech, maple, hornbeam and elm tree, were observed in all of the studied gaps, but no significant differences were observed between regeneration frequencies of the species in different gap sizes. The most frequent species were observed in elliptical-shaped gaps. The most frequency of regenerations of beech and maple were observed in slop classes of 11-20%. Also, regeneration of beech, maple, hornbeam and elm showed more frequency in southwest-facing gaps rather than the other directions. According to total number of regeneration in gaps located on the slopes, beech regeneration showed the best establishment rather than another species. Maple and hornbeam followed beech in next ranks.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0590.033

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 head0.262
GPT teacher head0.544
Teacher spread0.283 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2012
Admission routes1
Has abstractyes

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