The Digital Herbarium: Solutions for Data Collection and Identification of Indonesian Plant Diversity

  • Endro Setiawan Biology Graduate Program, Department of Biology, Graduate School, Universitas Nasional, Jakarta Gunung Palung National Park Office, West Kalimantan
    (ID) http://orcid.org/0000-0002-3655-4393
  • Dedy Darnaedi Department of Biology, Graduate School, Universitas Nasional, Jakarta
    (ID)
  • Ismail Rachman Herbarium Bogoriense, Research Center For Biologi,Cibinong, West Java
    (ID)
  • Teguh Triono Indonesian Rare Tree Forum, Bogor, Indonesia (FPLI) Polytechnic Wilmar Business Indonesia (WBI), Medan
    (ID)
  • Campbell O. Webb Departemen of Biology, University of Alaska
    (US)

Abstract

Indonesia is one of the world’s biodiversity hotspots. It is estimated to be the home of 9.5% flowering plant species, making it the seventh country with the highest biodiversity. Plant data collection is necessary to ascertain the level of plant biodiversity, as such data help in conservation efforts and long-term management. One of the methods applied is the collection of plants, with the purpose to acquire as much data about its biological resources. The collected specimen are then gathered and processed into a herbarium to be used as an information source in managing biological resources. Unfortunately, there are some difficulties related to the making and management of a herbarium. This study aims to assess the advantages and disadvantages of photo-specimens (digital herbarium) for documenting plant biodiversity in Indonesia. The methods need steps including biological recording, specimen preparing, macro-mode capturing, and last stage identification. About 2149 plants have been gathered from Borneo, Seram, Waigeo, Flores and Sulawesi which consisted of 152 family, 512 genus, and 1,832 species, with a total of 30391 pictures of plant parts. From the experiment conducted on 672 specimens, it achieved 98.8 % accuracy on the family level and 80.1 % accuracy on the genus level, while the species level reached 78.8%. The results showed that digital herbarium can be used to conduct identification and data collection of plant biodiversity. Furthermore, this method is simple, cheap and relatively easier to conduct. The output is a catalog of plant species in specific areas, which provides better understanding about plant identification and biodiversity, enhances conservation practices, and provides better long-term protection for Indonesian plant biodiversity.

References

Barkworth ME, Murrell ZE. 2012. The US virtual herbarium: Working with individual herbaria to build a national resource. ZooKeys. vol 209: 55–73. doi: https://doi.org/10.3897/zookeys.209.3205.

Budiharta S, Widyatmoko D, Irawati I, Wiriadinata H, Rugayah R, Partomihardjo T, Ismail I, Uji T, Keim AP, Wilson KA. 2011. The processes that threaten Indonesian plants. Oryx. vol 45(2): 172-179. doi: https://doi.org/10.1017/S0030605310001092.

Flannery MC. 2013. Plant collections online: Using digital herbaria in biology teaching. Bioscene: Journal of College Biology Teaching. vol 39(1): 1–7.

Gallo T, Waitt D. 2011. Creating a successful citizen science model to detect and report invasive species. BioScience. vol 61(6):459-465. doi: https://doi.org/10.1525/bio.2011.61.6.8.

Isaac NJB, Pocock MJO. 2015. Bias and information in biological records. Biological Journal of the Linnean Society. vol 115(3): 522–531. doi: https://doi.org/10.1111/bij.12532.

Joppa LN, Roberts DL, Pimm SL. 2011. How many species of flowering plants are there? In: Proceedings of the Royal Society B: Biological Sciences. vol 278(1705): 554-559. doi: https://doi.org/10.1098/rspb.2010.1004.

Jennett C, Kloetzer L, Schneider D. 2016. Motivations, learning and creativity in online citizen science. Journal of Science Communication. vol 15(3): 1–23. doi: https://doi.org/10.22323/2.15030205.

Jordan RC, Ballard HL, Phillips TB. 2012. Key issues and new approaches for evaluating citizen-science learning outcomes. Frontiers in Ecology and the Environment. vol 10(6): 307–309. doi: https://doi.org/10.1890/110280.

Fuccillo KK, Crimmins TM, de Rivera CE, Elder TS. 2015. Assessing accuracy in citizen science-based plant phenology monitoring. International Journal of Biometeorology. vol 59: 917–926. doi: https://doi.org/10.1007/s00484-014-0892-7.

Kusmana C, Hikmat A. 2015. Keanekaragaman hayati flora di Indonesia. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan. vol 5(2): 187–198. doi: https://doi.org/10.19081/jpsl.5.2.187.

Margono BA, Potapov P V., Turubanova S, Stolle F, Hansen MC. 2014. Primary forest cover loss in Indonesia over 2000-2012. Nature Climate Change. vol 4: 730–735. doi: https://doi.org/10.1038/nclimate2277.

Retnowati A, Rugayah R, Rahajoe JS, Arifiani D. 2019. Status keanekaragaman hayati Indonesia: Kekayaan jenis tumbuhan dan jamur Indonesia. Jakarta: LIPI press. pp 1–135.

Webb CO, Slik JWF, Triono T. 2010. Biodiversity inventory and informatics in Southeast Asia. Biodiversity and Conservation. vol 19(4): 955–972. doi: https://doi.org/10.1007/s10531-010-9817-x.

Rugayah R, Yulita KS, Arifiani D, Rustiami H, Girmansyah D. 2017. Tumbuhan langka Indonesia: 50 jenis tumbuhan terancam punah. Jakarta: LIPI press. pp 1–157.

Pimm SL, Jenkins CN, Joppa LN, Roberts DL, Russell GJ. 2010. How many endangered species remain to be discovered in Brazil?. Natureza a Conservacao. vol 8(1): 1–7. doi: https://doi.org/10.4322/natcon.00801011.

Scheffers BR, Joppa LN, Pimm SL, Laurance WF. 2012. What we know and don’t know about Earth’s missing biodiversity. Trends in Ecology and Evolution. vol 27(9): 501–510. doi: https://doi.org/10.1016/j.tree.2012.05.008.

Seltzer C. 2019. Making biodiversity data social, shareable, and scalable: Reflections on iNaturalist & citizen science. Biodiversity Information Science and Standards. vol 3: 1–2. doi: https://doi.org/10.3897/biss.3.46670.

Thiers BM, Tulig MC, Watson KA. 2016. Digitization of the New York Botanical Garden Herbarium. Brittonia. vol 68: 324–333. doi: https://doi.org/10.1007/s12228-016-9423-7.

Trimanto T, Shofiah F. 2018. Exploration of flora diversity and recommending species for reclamation of coal mining with biodiversity concept in Besiq Bermai Forest, East Borneo. Journal of Tropical Life Science. vol 8(2): 97–107. doi: https://doi.org/10.11594/jtls.08.02.02.

Van Horn, G., Mac Aodha O, Song Y, Cui Y, Sun C, Shepard A, Adam H, Perona P, Belongie S. 2017. The iNaturalist Species Classification and Detection Dataset-Supplementary Material. Reptilia. vol 32(400): 1–3.

Wäldchen J, Rzanny M, Seeland M, Mäder P. 2018. Automated plant species identification—Trends and future directions. PLoS Computational Biology. vol 14(4): 1–19. doi: https://doi.org/10.1371/journal.pcbi.1005993.

Widjaja EA, Rahayuningsih Y, Rahajoe JS, Ubaidillah R, Maryanto I, Walujo EB, Semiadi G. 2014. Kekinian keanekaragaman hayati Indonesia. Jakarta: LIPI Press. pp 1–344.

Published
2020-12-30
Section
Research Articles
Abstract viewed = 828 times