Wild Sumatran tigers are in a critical state with around 250 adult tigers remain in their habitat in Sumatra Island. Despite the fact that this subspecies is an elusive animal with very wide home range, Sumatran tigers are facing two serious threats, the depletion of its habitats and preys in one side and the increase of tiger hunt for illegal wildlife market. Improving the capacity and effectiveness of law enforcement in reducing poaching of tigers is an immediate priority protecting the remaining wild populations in their habitat. Enforcement monitoring was established under the Tiger conservation program. During their patrols, the anti-poaching team recorded various data including poaching incidents. We analyzed secondary data of Sumatran tiger poaching cases around Kerinci Seblat National Park that have been documented from 2000 to 2012. Georeferencing process was performed to transform locality data of 87 poaching cases into geographic position. The Nearest Neighbor (NN) analysis suggested a strong clustering pattern with the observed mean distance was 4.9 km, much lower than the expected mean distance (10.9 km).Similarly, The Ripley's K analysis also showed the aggregation of the points along the observed distances. On the other hand, about 35.6% of points were located outside the standard deviational ellipse. The pattern indicated that poaching incidents were spread in all corner of the region but excessive cases were observed in the center of the park.

Balancing water supply demand is vital for sustaining livelihoods. Spatial mapping and calculating water yield dynamics due to land use changes over decades are needed to manage land resources and formulate ecological protection policies. This study mapped the supply, demand, and matching status of water product service using the Integrated Valuation of Ecosystem Service and Tradeoff (InVEST) biophysical models in the Citarum Watershed (CW) in 2000, 2010, and 2020. Moreover, this study used Exploratory Spatial Data Analysis (ESDA) and Geographic Information System (GIS) techniques to study the agglomeration characteristics and evolutionary trajectories of supply–demand over two decades. The results showed that between 2000–2010 and 2010–2020, the water supply decreased by 19.01 × 108 m3 (18.28%) and 12.97 × 108 m3 (15.27%), respectively. However, the water demand in the same period increased by 6.17 × 108 m3 (23%) and 15.74 × 108 m3 (47%), respectively. Over the decades, the contribution of land use land cover (LULC) changes to variations in water supply has yielded values ranging from 2.87% to 6.37%. The analysis of the water supply–demand imbalance indicated that the entire CW experienced water shortage, and the type of spatial matching for supply and demand is dominated by a high supply and high demand class (16.09% of the total area). Based on the level of water deficit calculation, the upstream and downstream areas were identified as zones that require ecological conservation, while the middle CW area requires ecological restoration or ecological improvement.

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The unprecedented growth of human-dominated landscapes has led to population decline and the extinction of many animal species. A major paradigm shift that perceived wildlife as problem animals into threatened species that need protection triggered human-wildlife conflict studies. Although human-wildlife conflict incidences can be found globally, they have unique characteristics in each region of the world. However, little is known about the characteristics of human-wildlife conflicts in Southeast Asia, particularly Indonesia. There is a need for a comprehensive insight into human-wildlife conflict studies in Indonesia to understand past advancements and propose future priorities. This study examined the literature that provides the overall view of the human-wildlife conflict patterns in the country. The results showed that there was a comparatively small number of studies because this field was a relatively new subject in Indonesia. Furthermore, there were big gaps regarding animal species and the geographic distribution of study sites. A total of 35 species belonging to eight taxonomic groups experienced conflicts with humans. However, the studies heavily focused on three groups of animals and certain areas of the country. The predominant conflict sites were secondary forest, agroforestry, and farmlands. The conflicts in these areas unveiled the significance of local beliefs and social norms for formulating mitigation strategies.

The exponential growth of the human population in the last few decades has had an impact on the exponential increase of agricultural land. One of the consequences arising from the forest land conversions is the increasing number of conflicts between wildlife and humans. Although human-wildlife conflicts are also common in Indonesia, efforts to inventory and monitor the types of conflicts and their distribution are still limited. Mammals and birds are the only two groups of wildlife that are widely studied. This study tries to collect data on the incidences of human-water monitor interactions that are often reported by online news. The collection of news from online media (web scraping) is done automatically using the python package GoogleNews. The collected news articles were stored in a spreadsheet format and processed to obtain information on the location and type of conflict. The scraping process collected 1,838 news articles related to water monitors that represented 189 cases of human-water monitor conflicts. However, there were only 172 conflict cases that had detailed information of the location. The spatial autocorrelation analysis revealed a significant clustering pattern in the Jakarta Metropolitan area. The most common incident was water monitors coming into a house or neighborhood. The reports also uncovered that at least eight people lost their lives and seven water monitors were killed or sold. In addition, there were about 81 captured water monitors with uncertain or untraceable status. Commercially harvesting water monitors, particularly in highly urbanized cities, can be a reasonable solution for this problem.