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University museums have been offering a great opportunity to study thematic collections. In zoology, it has been aiding the university biologist to keep safe extensive biodiversity collections from academic expeditions. When appropriately managed, this opens an opportunity for display, research, teaching, and outreach, especially for regions that may not have easy access to government-managed museums. However, Indonesian university museums have been positioned in a confusing situation in which university museums have limited opportunities to serve the main roles of museums. We use Museum Zoologi Sekolah Ilmu dan Teknologi Hayati, Institut Teknologi Bandung (MZSITH-ITB) as a study case. In this paper, we tried to explore the current roles of university museums being served and explore the prospects and challenges for university museums. Concurrent triangulation approach from desk evaluation, visitor analysis, and a semi-structured interview was conducted to see the current roles of MZSITH-ITB and prospects and challenges in the future. In conclusion, clear general procedures to standardize the collection management are urgently needed, so university museums can have a degree of independence to collect and study objects and collections. This can allow easier data integration and specimen sharing in which the museums can work together to shed some light on Indonesian biodiversity.

Penelitian ini ditujukan untuk mengetahui besar dan perilaku bias dalam pendugaan koefisien korelasi dua variabel berskala ordinal (kategori) dengan berbagai jumlah kategori dan sample. Informasi ini sangat penting mengingat sebagian besar penelitian sosial yang berbasis survey lazim mengumpulkan data berskala ordinal dengan berbagai jumlah kategori.  Ini dilakukan dengan alasan kemudahan dalam pengukuran karakteristik objek amatan. Masalah muncul manakala data dianalisis dengan pendekatan parametrik yang mensyaratkan datanya berskala ratio atau kontinu, akibatnya timbul bias dugaan. Korelasi Pearson digunakan sebagai basis analisis untuk mengetahui besar bias dugaan  yang dihitung dengan kaidah Mean Absolut Percentage Error (MAPE).  Disimpulkan bahwa, semakin banyak jumlah kategori maupun sample data, maka besarmya bias akan semakin mengecil.  Penurunan bias akan semakin cepat bila jumlah kategori semakin membesar.  Manfaat dari hasil ini adalah, data dengan 5 kategori merupakan pilihan ideal untuk digunakan dalam mengukur karakteristik amatan berskala ordinal, karena besarnya bias dugaan yang timbul masih dapat ditolerir. Dalam penerapannya 5 pilihan jawaban masih relatif mudah bagi responden dalam memilihnya.

Natural regeneration depends on surviving propagules in the soil, seed sources from a surrounding landscape mosaic, and dispersal agents. We compiled and analyzed four sets of case studies varying in degree of disturbance, for secondary forests recovering from logging, fire, and conversion to agroforest in Sumatra or Kalimantan (Indonesia) on mineral and peat soils. Data on tree species diversity, wood density frequency distribution (indicative of successional status, databases with over 6000 species exist), and dispersal modes were compared with those for less disturbed comparator forests for the same landscapes. Undisturbed lowland dipterocarp forest in Kalimantan had close to 200 species of trees of more than 10 cm diameter at a 1 ha sample scale (and 450 at a 10-ha scale), regulation-based logging had little impact. Still, after the repeated fire a sample area of 2 ha was needed to reach the same species numbers. After forest conversion to low-management-intensity rubber agroforest, 50 tree species were found at a ha scale and close to 100 species in 3 ha. Peat swamp forest in Kalimantan and the Sumatra forest samples had close to 100 species in 1 to 2 ha. The Kalimantan forest after a repeated fire had a markedly higher fraction of low-wood-density trees (40%), but otherwise, all forests sampled were similar in overall wood density profiles. Logged-over forest managed by community (village forest) and rubber agroforest in Sumatra contained larger fractions of heavy-wood-density trees (including rubber). The majority of trees (50-70%) had birds, bats, and primates as dispersal agents in all sites. Logged-over forests on mineral soil had higher fractions of autochorous species (15%) compared to other sites. Anemochorous (wind-dispersed) species were most common (20%) in undisturbed lowland Dipterocarp forest and peat swamp forest recovering after logging and fire. Comparison between secondary forests and agroforests showed the influence of farmer selection regarding what is allowed to grow beyond the pole stage. Wood density and seed dispersal profile can be used as degradation indicators of species assemblages across various disturbance levels and types. They can also reflect the habitat quality of the surrounding forming restoration options.