Manta rays (Mobula birostris and M. alfredi) are threatened by overexploitation for international trade. Indonesia was home to the world's largest documented manta fishery—Lamakera, in East Nusa Tenggara. However, in 2014, the Indonesian government declared manta rays a protected species. Here we describe an integrated intervention to reduce manta hunting and mortality in Lamakera, which combined community outreach and livelihood‐focused incentives with targeted enforcement actions; and assess its impact over a five‐year period (2013–2018) using a theory‐based research design. Results show that the intervention is associated with a significant decline in manta hunting effort and mortality (p < .001), which is correlated and temporally‐associated with conservation activities, and did not occur for modeled and natural experiment counterfactuals. Overall, total manta ray mortality declined by 86% by 2018, vs. the 2013 baseline. We conclude that a multifaceted, data‐driven approach reduced illegal hunting and trade of manta rays from 2013 to 2018. However, this impact is not indefinite; new challenges are emerging, which highlight the importance of a long‐term adaptive strategy. We make several recommendations for designing interventions to mitigate trade‐driven over‐exploitation of megafauna: (a) understand diverse drivers of human behavior; (b) adopt data‐driven problem‐oriented planning; (c) continuously document and share learning; (d) establish partnerships with diverse stakeholders to develop resilient institutions for enduring impact.
The Sulawesi civet Macrogalidia musschenbroekii is endemic to the Indonesian island of Sulawesi, where it is the largest mammalian predator. Limited field data means that little is known about the species’ distribution, habitat preferences, conservation status and needs, but it is believed to depend on primary forest. We conducted camera-trap surveys across the forests of North Sulawesi, including in two of its main protected areas: Bogani Nani Wartabone National Park and Tangkoko Nature Reserve. From 148 camera trap stations and 10,371 trap nights, Sulawesi civets were recorded 17 times at 12 stations, and in almost equal numbers in primary forest, secondary forest and farmland, including the first photographic records from both the National Park and Nature Reserve. We also collected data on the Malay civet Viverra tangalunga, an introduced species of Viverridae and potential competitor. Our records (n = 21) revealed that it is established in secondary forest; it only co-occurred twice with the Sulawesi civet. With a lapse of > 20 years since the last field record of the Sulawesi civet, our findings offer new insight into its status and new enthusiasm within the provincial government for its conservation, which has led to an extension of camera-trap research into neighbouring Gorontalo province.
As more ambitious protected area (PA) targets for the post-2020 global biodiversity framework is set beyond Aichi Target 11, new spatial prioritisation thinking is required to expand protected areas to maximise different environmental values. Our study focuses on the biodiversity and forest-rich Indonesian island of Sulawesi, which has a terrestrial PA network that covers 10% of the island. We run scenarios to identified areas outside the current PA network and their representativeness of conservation features. We use Marxan to investigate trade-offs in the design of a larger PA network with varying coverage targets (17%, 30%, and 50%) that prioritises forest area, karst ecosystem, and carbon value as conservation features. Our first scenario required PAs to be selected at all times, and it required larger areas to meet these targets than our second scenario, which did not include existing PAs. The vast Mekongga, Banggai, and Popayato-Paguat landscapes were consistently identified as high priorities for protection in the various scenarios. The final section of our analysis used a spatially explicit three-phase approach to achieve this through PA expansion, the creation of new PAs, and the creation of corridors to connect existing PAs. Our findings identified 13,039 km2 of priority areas to be included in the current PA network, potentially assisting Indonesia in meeting the post-2020 GBF target if our approach is replicated elsewhere across Indonesia as a national or sub-national analysis like this study. We discuss various land management options through OECMs and the costs to deliver this strategy.
As more ambitious protected area (PA) targets for the post-2020 global biodiversity framework are set beyond Aichi Target 11, renew thinking into spatial prioritisation is required to enable PA expansion that maximises environmental values. Our study focuses on the biodiverse and forest-rich Indonesian island of Sulawesi, which has a terrestrial PA network that covers 10% of the island. We used Marxan to investigate trade-offs in the design of an expanded PA network that prioritised different conservation features (biodiversity, forest cover, carbon stock, karst and valuable metal-rich areas) under varying island-wide coverage targets (17%, 30%, and 50%). Our first scenario, which required existing PAs to be selected, required larger areas to meet these coverage targets, in contrast to our second scenario, which allowed for any part of the island to be chosen, irrespective of PA status. The vast Mekongga and Bangkiriang Landscapes, and Gorontalo corridor were consistently identified as a high priority for protection under all scenarios. To meet our conservation targets through expanding current PAs, creating new PAs, and creating corridors that connect existing PAs, we used a spatially explicit three-phase approach. Our findings identified 26,508 km2 of priority areas to be included in the current PA network, potentially assisting Indonesia in meeting its post-2020 GBF target, if our approach is replicated across Indonesia as a national or sub-national analysis. We discuss various land management options through other effective area-based conservation measures (OECMs) and the costs to deliver this strategy.
Species distribution modeling is an essential tool for understanding the ecology of species and has many applications in conservation. Using maximum entropy (MaxEnt) modeling, we identify the key factors shaping the potential distribution of the endangered Javan Gibbons Hylobates moloch in one of the main remnant habitats, Gunung Halimun Salak National Park (GHSNP), Indonesia, using presence-only data collected between October and November 2015, and in April and May 2016. Maxent results showed that forest canopy density and annual temperature were the principal variables predicting the distribution of Javan Gibbons, with contribution scores of 53.9% and 35.6%, respectively. The predictive distribution map indicated that suitable habitat for Javan Gibbons is not uniformly distributed within GHSNP, i.e., suitable habitat is not located evenly throughout the region, with some areas more suitable than others. Highly suitable habitat comprises the largest proportion of habitat, with 42.1% of GHSNP classified as highly suitable habitat, whereas 24.7% was moderately suitable, and 33.2% of habitat was of low suitability for Javan Gibbons. Priority should be given to increasing habitat quality in degraded areas and law enforcement patrols to reduce degradation in peripheral regions of the park as part of the conservation management strategy.
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