First inventory survey of dominant families (Asteraceae, Fabaceae, Rosaceae, and Lamiaceae) of Lower Tanawal, Pakistan
Bibliographic record
Abstract
present study is a first attempt to describe the dominant plant families of flora of Lower Tanawal, Pakistan. It provides valuable information about the different plant species of dominant plant families of the area. present research work based upon the investigation of members of four major dominant families (Asteraceae, Fabaceae, Rosaceae and Lamiaceae) of Lower Tanawal District Abbottabad, Pakistan. Many study visits were conducted during the year 2016-2018 for the documentation and collection of data. present paper deals with the 88 species belonging to 64 genera of four dominant families in which Astraceae was dominant with 25 species followed by Fabaceae 24 species Rosaceae with 20 species and Lamiaceae with 19 species. Keywords: Asteraceae; Lower Tanawal; Fabaceae; Rosaceae; Lamiaceae References Adeela, Bibi. Floristic diversity, biological spectrum of Lower Tanawal, KP, Pakistan .Ukrainian Journal of Ecology, 2019 (9) 4, 505-514. Ali, H. and Qaiser, M. 2009. Ethnobotany of Chitral Valley, Pakistan with Particular Reference to Medicinal Plants.Pakistan Journal of Botany, 41(4): 2009-2041. Almeida, M. R. & Almeida, S. M. (2001). Flora of Maharashtra. St. Xavier’s College, Mumbai, Vol. 3A (Rubiaceae - Eheretiaceae). Ahmad, K.S., Kiyani, W.K., Hameed, M., Ahmad, F., andNawaz, T. 2012a. Floristic diversity and ethnobotany of Senhsa, District Kotli, Azad Jammu & Kashmir (Pakistan). Pakistan Journal of Botany, 44: 195-201 Beech E, Rivers M, Oldfield S, Mith PP. Global tree search: first complete global database of tree species and country distributions. Journal of Sustainable Forestry. 2017;36(5):454-489. Available: https://doi.org/10.1080/10549811 .2017.1310049 Christenhusz, M. J. M. & Byng, J. W. (2016). The number of known plants species in the world and its annual increase. Phytotaxa. 261 (3):201–217. Funk VA, Bayer RJ, Keeley S, Chan R, Watson L, Gemeinholzer B, Schilling E, Panero JL,Baldwin BG, Garcia- Jacas N, Susanna A, & Jansen RK. , (2005) everywhere but Antarctica using a supertree to understand the diversity and distribution of the Compositae. Biol. Skr, 55:343–374. Hussain, F., Shah, S. M., Badshah, L., Durrani, M. J. (2015). Diversity and ecological characteristics of flora of Mastuj valley, district Chitral, Hindukush range, Pakistan. Pak. J. Bot, 47(2), 495-510. Heywood, Vernon H.; Brummitt, Richard K.; Seberg, Ole; Culham, Alastair (2007). Flowering Plant Families of the World. Ontario, Canada: Firefly Books. ISBN 978-1-55407-206-4. Jain, S. K. & Rao, R. (1960). A handbook of field and Herbarium methods. Today &Tomorrow's publishers, New Delhi. Nasir, E., and S.I. Ali. 1970-1989. Flora of Pakistan. No. 1-190. National Herbarium, PARC, Islamabad and Department of Botany, University of Karachi, Pakistan. Watson, L.; Dallwitz, M.J. (1992). families of flowering plants: Descriptions, illustrations, identification, and information retrieval. Version: 21 March 2010. Raymond M. Harley, Sandy Atkins, Andrey L. Budantsev, Philip D. Cantino, Barry J. Conn, Renee J. Grayer, Madeline M. Harley, Rogier P.J. de Kok, Tatyana V. Krestovskaja, Ramon Morales, Alan J. Paton, and P. Olof Ryding. 2004. Labiatae pages 167-275. In: Klaus Kubitzki (editor) and Joachim W. Kadereit (volume editor). Families and Genera of Vascular Plants volume VII. Springer-Verlag: Berlin; Heidelberg, Germany. Izhar Ahmad, Samin Jan, Afroza Begum and Sher Wali. Taxonomic diversity and ethnobotanical characteristics of the family Lamiaceae of Swat, Khyber Pakhtunkhwa, Pakistan. Pure and Applied Biology. Vol. 4, Issue 4, 2015, pp 465-470.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".