Amelia Fahreza Putri

Biology Department, Faculty of Mathematics and Natural Sciences, University of Jember, Jember 68212, Indonesia

Refi Khoirotul Aini

Biology Department, Faculty of Mathematics and Natural Sciences, University of Jember, Jember 68212, Indonesia

Dwi Indahning Rohmah

Biology Department, Faculty of Mathematics and Natural Sciences, University of Jember, Jember 68212, Indonesia

Fuad Bahrul Ulum

Biology Department, Faculty of Mathematics and Natural Sciences, University of Jember, Jember 68212, Indonesia

DOI: https://doi.org/10.19184/lsb.v3i2.53687

ABSTRACT 

Dehaasia (Lauraceae; tribe Perseeae) is a Malesian-centred tree genus whose taxonomy and evolutionary relationships are frequently complicated by morphological convergence and incomplete reproductive material. Here, we integrate GBIF occurrences, IUCN Red List signals, GenBank sequence availability, and multi-locus DNA barcoding to characterise Indonesian Dehaasia diversity and evaluate marker performance for phylogenetic discrimination. GBIF (December 2025) aggregated 3,178 records representing 44 species, dominated by preserved specimens (3,081; 96.9%) and concentrated in Malesia; Indonesia contributed the largest share (1,074; 33.8%) followed by Malaysia (928; 29.2%), with 74 records lacking country metadata. Threat signals were substantial, including Endangered entries (75 records; five species) and Critically Endangered entries (80 records; ≥ seven species), several of which were represented by single GBIF occurrences. Within Indonesia, 538 records were strongly skewed toward Sundaland (495; 92.0%) relative to Wallacea (37; 6.9%) and Sahul (6; 1.1%), and the dataset resolved 22 named species alongside a large fraction of genus-level identifications, indicating persistent sampling and taxonomic gaps. GenBank contained 67 Dehaasia nucleotide records, largely plastid fragments (56 sequences of 500–1,500 bp) and only three complete chloroplast genomes (two D. hainanensis, one D. pugerensis). Neighbor-Joining phylogenies (1,000 bootstraps) constructed from matK, rbcL, and ITS2 showed that matK most consistently discriminated Dehaasia lineages within Lauraceae, whereas ITS2 supported a mixed Dehaasia –Alseodaphne complex and rbcL provided weaker backbone resolution but stable terminal clustering (including a cuneata lineage). Collectively, these results highlight urgent priorities for voucher-linked identification, expanded sampling in under-documented eastern regions, and increased plastome-scale sequencing to stabilise taxonomy, strengthen conservation planning for threatened endemics, and support conservation-aware bioprospecting of alkaloid-rich Dehaasia taxa.

Keywords: Dehaasia, GBIF, GenBank, IUCN Red List, Indonesia.