APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH 20(3):2597-2607.
http://www.aloki.hu ● ISSN 1589 1623 (Print) ● ISSN 1785 0037 (Online)
DOI: http://dx.doi.org/10.15666/aeer/2003_25972607
© 2022, ALÖKI Kft., Budapest, Hungary
NATURAL DISTRIBUTION OF WEED SEEDBANK IN DIFFERENT LAND ACTIVITIES DUE TO ABANDONED LAND RECLAMATION FOR AGRICULTURE
MD-AKHIR, A. H. B. – ISA, N. – MISPAN, M. S.*
Institute of Biological Sciences, Faculty of Science, Universiti Malaya, 50603 Kuala Lumpur, Malaysia (phone: +603-7967-6757; fax: +603-7967-4376)
*Corresponding author e-mail: shakirin@um.edu.my
(Received 17th Dec 2021; accepted 21st Mar 2022)
Abstract. Most studies on weed infestation mainly focused on the aboveground infestation despite the fact that the importance of the seedbank dynamics in influencing weed abundance is well acknowledged. Effective weed management for development or rejuvenation of an abandoned land should consider the potential of weed seed emergence from the seedbank. Soil samples from three different locations were collected from abandoned agriculture lands in Glami Lemi Biotechnology Research Center, Negeri Sembilan (GLBRC), Malaysia to determine the density and distribution pattern of the weed seedbank using seed separation and seedling emergence methods. A total of 53 weed species, mainly broadleaves, were identified in the area. Broadleaf weeds showed a higher number of emerged seedlings compared to grasses which reflected the aboveground weed vegetation composition. Seedling emergence method provided better representation of weed seedbank composition in this study compared to separation method. Lloyd’s patchiness index (lp) determined that the majority of survey sites displayed cluster distribution pattern for the seedbank of both broadleaf and grass weeds indicating the robust weed seedbank composition of the area. The weed seedbank management could be effectively employed for the development of abandoned lands based on the clustering areas and precise prediction of seedbank density.
Keywords: distribution pattern, land management, soil seedbank, tillage, weed management
