Adrienne Chitayat led this study on chimpanzees in Mahala Mountains which provides a baseline to monitor future trends.
For a project on automated orangutan nest detection on drone images we are looking for a machine learning expert who is interested in conservation to be part of our drone and machine learning team at Liverpool John Moores University. Please see the details here.
Robert Muscarella and Thaise Emilio led a large group of researchers to study the relative abundance of tree palms at a global scale. The paper was published in Global Ecology and Abundance.
Palms are an iconic, diverse and often abundant component of tropical ecosystems that provide many ecosystem services. Being monocots, tree palms are evolutionarily, morphologically and physiologically distinct from other trees, and these differences have important consequences for ecosystem services (e.g., carbon sequestration and storage) and in terms of responses to climate change. We quantified global patterns of tree palm relative abundance to help improve understanding of tropical forests and reduce uncertainty about these ecosystems under climate change.
Tropical and subtropical moist forests.
Major taxa studied
We assembled a pantropical dataset of 2,548 forest plots (covering 1,191 ha) and quantified tree palm (i.e., ≥10 cm diameter at breast height) abundance relative to co‐occurring non‐palm trees. We compared the relative abundance of tree palms across biogeographical realms and tested for associations with palaeoclimate stability, current climate, edaphic conditions and metrics of forest structure.
On average, the relative abundance of tree palms was more than five times larger between Neotropical locations and other biogeographical realms. Tree palms were absent in most locations outside the Neotropics but present in >80% of Neotropical locations. The relative abundance of tree palms was more strongly associated with local conditions (e.g., higher mean annual precipitation, lower soil fertility, shallower water table and lower plot mean wood density) than metrics of long‐term climate stability. Life‐form diversity also influenced the patterns; palm assemblages outside the Neotropics comprise many non‐tree (e.g., climbing) palms. Finally, we show that tree palms can influence estimates of above‐ground biomass, but the magnitude and direction of the effect require additional work.
Tree palms are not only quintessentially tropical, but they are also overwhelmingly Neotropical. Future work to understand the contributions of tree palms to biomass estimates and carbon cycling will be particularly crucial in Neotropical forests.
A new correspondence in Nature Ecology and Evolution is out on the Tapanuli orangutan and a hydro-electric project threatening its feature. You can read it here.
Our new paper led by Adrià Descals on detecting smallholder and industrial oil palm using Sentinel data is out: https://www.mdpi.com/2072-4292/11/21/2590/htm
Kasim Rafiq from LJMU just led an exciting new paper on the use of safari tourist photos to determine carnivore densities in Botswana.
We just published a paper in the Journal of Unmanned Vehicle Systems on the successful detection of orangutans with a thermal imaging camera under a drone.
We investigated the efficacy of a drone equipped with a thermal camera as a potential survey tool to detect wild Bornean orangutans (Pongo pygmaeus) and other tropical primates. Using the thermal camera we successfully detected 41 orangutans and a troop of proboscis monkeys, all of which were confirmed by ground observers. We discuss the potential advantages and limitations of thermal-equipped drones as a tool to complement other methods, and the potential of this technology for use as a future survey tool.
Our new paper on the status and threats to the Tapanuli orangutan is out. It is open access and can be downloaded here.
In a new publication in Current Biology we explain that orangutan numbers are still declining despite what the Indonesian Government suggests and that there is a strong need to collaborate to set up a solid monitoring system for orangutans.