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%).

There is a vast and ever‐accumulating amount of behavioural data on individually recognised animals, an incredible resource to shed light on the ecological and evolutionary drivers of variation in animal behaviour. Yet, the full potential of such data lies in comparative research across taxa with distinct life histories and ecologies. Substantial challenges impede systematic comparisons, one of which is the lack of persistent, accessible and standardised databases. Big‐team approaches to building standardised databases offer a solution to facilitating reliable cross‐species comparisons. By sharing both data and expertise among researchers, these approaches ensure that valuable data, which might otherwise go unused, become easier to discover, repurpose and synthesise. Additionally, such large‐scale collaborations promote a culture of sharing within the research community, incentivising researchers to contribute their data by ensuring their interests are considered through clear sharing guidelines. Active communication with the data contributors during the standardisation process also helps avoid misinterpretation of the data, ultimately improving the reliability of comparative databases. Here, we introduce MacaqueNet, a global collaboration of over 100 researchers (https://macaquenet.github.io/) aimed at unlocking the wealth of cross‐species data for research on macaque social behaviour. The MacaqueNet database encompasses data from 1981 to the present on 61 populations across 14 species and is the first publicly searchable and standardised database on affiliative and agonistic animal social behaviour. We describe the establishment of MacaqueNet, from the steps we took to start a large‐scale collective, to the creation of a cross‐species collaborative database and the implementation of data entry and retrieval protocols. We share MacaqueNet's component resources: an R package for data standardisation, website code, the relational database structure, a glossary and data sharing terms of use. With all these components openly accessible, MacaqueNet can act as a fully replicable template for future endeavours establishing large‐scale collaborative comparative databases.

Husaini IPA, Maulany RI, Nasri N, Ngakan PO. 2022. Diversity and use of traditional medicinal plant species in Bantimurung-Bulusaraung National Park, Indonesia. Biodiversitas 23: 5539-5550. The people of Minasatene (Pangkep District) in Bantimurung-Bulusaraung National Park, South Sulawesi (Indonesia) have used traditional medicinal plants for many centuries. However, this local knowledge has not been recorded. This study aims to examine the diversity of plant species used to treat various ailments in the area. A set of semi-structured questionnaires was distributed to 60 respondents, consisting of traditional healers, elderly people, herb sellers and local people of Minasatene. This was used to obtain a demographic profile, vernacular names of plants and their uses, plant parts used, modes of preparation and methods of application. The diversity and use of the medicinal plant species in a traditional context were descriptively analyzed. The data were further extrapolated using Use Value (UV) to analyze the relative importance of plant species based on the number of uses; Fidelity Level (FL) to determine the specific uses of each plant species and preference over other species, and Informant Consensus Factor (ICF) to investigate an agreement between each group of diseases and related remedies. The study reveals that there were 74 species of medicinal plants belonging to 65 genera and 44 families being used as traditional medicines, which have been known to treat 54 ailments. Among the plant species, soursop (Annona muricata) had the highest UV (0,95), while the fig tree species, Ficus septica (100%) had the highest FL with the most frequent citation. From the data gained, it was found that skeletomuscular disorders had the highest ICF value (0,92).

Wildlife diversity is one of the essential assets of national development and has become major tourist attractions in Indonesia for nature-based tourism. South

Maleo (Macrocephalon maleo) is an endemic species inhabiting Sulawesi island and is listed as Endangered under IUCN Red Data List. However, number of adult individuals of the species found in the wild was predicted to be decreasing. Most data available for the species are scattered and or not reported. Therefore, more published research is needed as regard to population size, distribution, and trends of maleo. One site identified as habitat of maleo (Macrocephalon maleo) was located in the coastal area of Kambunong Cape, West Sulawesi Province. This study attempts to examine the nesting site, population trends of the species and to identify nthropogenic and non-anthropogenic threats towards the population in the area. Index point of abundance (IPA) combined with line transect techniques were applied to estimate population of the species. Seven line transects were deployed and combined with 30 circular plots distributed across the lines covering 100 ha of the coastal area in Kambunong Cape. Meanwhile, types of threats posed to the population were explored by using semi-structure interviews to the locals. The results have shown that the total of relative abundance estimated for the species in the area was 5.091 individuals/ha for 30 observation plots or 16.97 (=17) individuals found in 100 ha. There was only one site utilized by the species located in a poor environment. Decreasing trends of the population was mostly due to habitat modification and fragmentation combined with illegal egg hunting/collection as well as high intensity of human activities nearby their home range.