Deforestation is an event of loss of forest cover to another cover. Sulawesi forests have the potential to be deforested as with Sumatra and Kalimantan. This study aims to provide information on deforestation events in Sulawesi from 1990 to 2018. The data used in this study are (1) land cover in 1990, 2000, 2010; (2) Landsat 8 imagery in 2018; (3) administrative map of BIG in 2018. The methods used are (1) image classification with on-screen digitation techniques following the PPIK land cover classification guidelines, Forestry Planning Agency (2008) using ArcGIS Desktop 10.6 from ESRI; (2) overlapping maps; (3) analysis of deforestation; (4) analysis of deforestation profiles, (5) vulnerability analysis; and (6) analysis of distribution patterns of deforestation. The results showed that the profile of deforestation occurring on Sulawesi Island in the 1990–2018 observation period was dominated by profile 3-1-1 (the proportion of large forest area, the highest incidence of deforestation early stage at the beginning, at a low rate) in 13 districts. The level of vulnerability to deforestation is a non-vulnerable category (37 districts) which is directed to become a priority in handling deforestation in Sulawesi. Spatial patterns of the deforestation that occurred randomly and were scattered are dominated by shrubs, dryland agricultural activities, and small-scale plantations.

Wildlife trade has become one of the main causes of species loss and extinction. Increasing anthropogenic pressure posits crucial challenges to wildlife, and several species are threatened or at the edge of extinction. In this study, we aimed to examine the current wildlife trade in Makassar City of South Sulawesi, especially focusing on traded species, their area of origin, price, conservation status and traders’ distribution across the city. We conducted a market survey and direct observations of animals and wildlife traders in several locations, using a questionnaire targeting both wildlife/pet sellers and buyers. We also interviewed government bodies related with wildlife trade. Our results showed that there were 13 distribution spots of wildlife trading in the city of Makassar, and 27 different wildlife suppliers. During the seven months of observation (March-September 2018), the trade involved 62 species of birds, mammals and reptiles. More than 50% of these species had Indonesian origins, and 18% were endemic species of Sulawesi Island. The highest number of animals traded in the market were birds. Out of the 2,642 individuals being traded, 32 were considered as protected species under the IUCN regulation, 24 were species whose trade is regulated by CITES, and 10 were nationally protected according to the Indonesian Government’s Laws. The traded animals were obtained from different sources, including direct hunters, middlemen, opportunists, and breeders, mostly from Sulawesi (44.19%) and western parts of Indonesia (37.21%).

Phytophthora cinnamomi stands out as one of the most devastating plant pathogens worldwide, rapidly expanding its range and impacting a wide range of host species. In this study, we investigated the virome of P. cinnamomi across 222 isolates from Africa, Asia, Europe, Oceania, and the Americas using stranded total RNA sequencing, reverse transcription polymerase chain reaction screening, and Sanger sequencing of selected isolates. Our analysis revealed that virus infections were prevalent across all sampled populations, including RNA viruses associated with the orders Ghabrivirales, Martellivirales, and Tolivirales, and the classes Amabiliviricetes, Bunyaviricetes, and the recently proposed Orpoviricetes. Viruses were mainly found in East and Southeast Asian populations, within the geographic origin of P. cinnamomi but have also spread to new regions where the pathogen has emerged as a clonal destructive pathogen. Among the identified viruses, eight species, including two bunya-like viruses, one narna-like virus, and five ormycoviruses, exhibit a global distribution with some genetic divergence between continents. The interaction between P. cinnamomi and its virome indicates a dynamic coevolution across diverse geographic regions. Indonesia is indicated to be the viral epicentre of P. cinnamomi, with the highest intra- and interspecies diversity of viruses. Viral diversity is significantly enhanced in regions where sexual recombination of P. cinnamomi occurs, while regions with predominantly asexual reproduction harbour fewer viral species. Interestingly, only the partially self-fertile mating type (MAT) A2, associated with the global pandemic, facilitates the spread of viruses across different biogeographic regions, whereas viruses are absent in the self-sterile MAT A1 in its areas of introduction like Australia and South Africa. Intriguingly, the presence of a plant tombusvirus suggests a potential cross-kingdom infection among Chilean isolates and a plant host. This study sheds further light on the geographical origin of P. cinnamomi from a novel virome perspective.

Large scale land-based investments have a significant impact on natural resources and environmental conditions. It is necessary to protect areas of high conservation value (HCV) within land management investments, such as the mining sector, to minimise this impact. The existence of high conservation value sites in locations with activities related to the mining sector is intended to maintain the ecological and conservation value of a mining investment area. We demonstrate a model that can identify potential high conservation value sites in mining areas using remote sensing data and spatial analysis compiled with field observation data. The research was conducted in one of the largest nickel mining areas (71,047 ha) in South Sulawesi, Indonesia. We mapped vegetation density using the normalized difference vegetation index (NDVI), calculated from Sentinel-2 imagery. We also collected biodiversity data in predetermined inventory sampling plots, which we then used to estimate species richness using the Shannon-Wiener diversity index. Using a linear regression model to compare the normalized difference vegetation index value in each sampling plot with the biodiversity value of flora and fauna, we then estimated biodiversity distribution patterns for the entire study area. We found that potential high conservation value areas (areas likely to have high biodiversity based on our regression model) covered 40,000 ha, more than half of the total concession area.

The development of dyeing frm natural substances for silk fabrics has been rapidly growing in recent years. This study aimed to explore the plant species prodsucing unique dyes and patterns on silk fabrics. The flowers and leaves of some plant species found at the research sites were assayed for their color and shape expression on the fabrics. The dyeing technique applied was the bundle dyeing or ecoprinting technique on the fabric’s surface with mordant alum and myrobalan. We obtained 297 plants consisting of 95 families and 181 genera. The plant species producing colors were trees (48.4%), shrubs (30.5%), and herbs, vines, ferns, and lycopods (21.1%). The plant species samples obtained were 213 (71.7%) producing color and 84 (28.3%) species not expressing color. The leaves and flowers producing colors and patterns on the fabrics suitable for bundle dyeing were 126 species and 19 species, respectively. The leaves produce colors without shape patterns; thus, they have potential roles as dyes for the dipping technique.

Covid – 19 merupakan penyakit menular yang disebabkan oleh virus corona, salah satu upaya mencegah penyebaran COVID-19 adalah dengan sistem cuci tangan tanpa sentuh. Melalui penelitian ini dilakukan perancangan keran wastafel otomatis menggunakan sensor Infrared Proximity (IR) dan micro servo berbasis mikrokontroler arduino uno di era new normal. Metode penelitian berisi diagram alir tahap penelitian dan diagram rangkaian sistem. Pengujian sistem ini dilakukan dengan cara mendekatkan tangan pada bagian mulut keran maka secara otomatis sensor akan mendeteksi dan servo menarik gagang keran hingga membuka katupnya. Hasil pengujian didapatkan rentang jarak antara sensor dan tangan manusia sebesar 0 hingga 20 cm tepat didepan sensor. Jarak ini dinilai cukup karena cocok untuk penggunaan cuci tangan yang kisaran jaraknya memang sesuai dengan jarak cuci tangan sehari-hari, Sensor ini pun dipilih karena tahan pada sinar matahari ataupun sinar lampu yang juga menghasilkan panas.