Globally mammalian biodiversity is declining at an alarming rate as a result of widespread habitat loss and degradation, and unsustainable hunting. We study how these anthropogenic drivers impact the distribution and abundance of ground dwelling mammals. In our field projects we use camera-traps and iDNA (invertebrate derived DNA) metabarcoding to assess species occurrences and we employ statistical models that investigate how anthropogenic drivers affect species distribution. We develop standardized methods and strategies for rigorous biodiversity assessment in order to provide robust scientific baseline data that allow monitoring species-specific and community-wide trends over time. In our work we regularly collaborate closely with local stakeholders and decision makers in order to integrate our data and results directly into wildlife and conservation management policy.
Lead: Dr. Andreas Wilting
Andreas, Deputy Department and Team Lead, ecologist and evolutionary biologist with strong interest in species conservation, interested in methods and tools to study species distributions and to use these biodiversity data to target conservation efforts
Data analyst: Dr. Jesse F. Abrams, Postdoc, environmental scientist, interested in global change and conservation, focusing on mathematical and statistical modelling to shed light into the darkness of data interpretation
Data manager: Dr. Jan Axtner, Data Management, ecologist and evolutionary geneticist, finds ways how to produce, store and handle large amounts of data of modern high-throughput biodiversity assessments
In Malaysian Borneo we study how different anthropogenic drivers affect the occurrence and abundance of ground-dwelling mammal and bird communities. Since 2008, we have monitored mammalian communities over time in forest sites in various stages of recoverying from severe logging impacts and under different forest management strategies. We compare the impacts of these strategies (i.e. mixed land-uses with industrial tree plantation and natural forest management, conventionally selective logging and reduced impact logging) at different spatial and temporal scales.
People involved: Alzlan bin Mohamed, Roshan Guharajan, Seth T Wong
Local partners: Sabah Forestry Department, Ta Ann Holdings Berhad, WWF Malaysia (Sarawak)
The effect of different forest management schemes (reduced-impact logging vs. conventional selective logging) on terrestrial mammal communities in Borneo are insufficiently documented due to a lack of robust monitoring approaches. For my Phd project, I carried out large scale camera-trapping surveys in three forest reserves with varying degrees of logging to evaluate the effects of… Read More
My work takes place in a landscape in Sabah, Malaysian Borneo. I am using camera trapping data to look at how large mammal habitat use and distribution is affected by forest degradation and poaching. I am also using anti-poaching patrol data to identify landscape features most used by poachers. The goal is to identify high… Read More
Brozovic R, Abrams JF, Mohamed A, Wong ST, Niedballa J, Bhagwat T, Sollmann R, Mannan S, Kissing J & WiltingA (2018). Effects of forest degradation on the moonrat Echinosorex gymnura in Sabah, Malaysian Borneo, Mammalian Biology, 93: 135-143. https://doi.org/10.1016/j.mambio.2018.10.003
Wong ST, Belant JL, Sollmann R, Mohamed A, Niedballa J, Mathai J, Meijaard E, Street GM, Kissing J, Mannan S & WiltingA (2018). Habitat associations of the Sunda stink-badger Mydaus javanensis in three forest reserves in Sabah, Malaysian Borneo, Mammalian Biology, 88: 75-80. https://doi.org/10.1016/j.mambio.2017.11.010
Mathai J, Sollmann R, Meredith ME, Belant JL, Niedballa J, Buckingham L, Wong ST, Asad S & WiltingA (2017). Fine-scale distributions of carnivores in a logging concession in Sarawak, Malaysian Borneo. Mammalian Biology, 86: 56-65. https://doi.org/10.1016/j.mambio.2017.04.002
Sollmann R, Mohamed A, Niedballa J, Bender J, Ambu L, Lagan P, Mannan S, Ong RC, Langner A, Gardner B & WiltingA (2017). Quantifying mammal biodiversity co‐benefits in certified tropical forests. Diversity and Distributions, 23(3): 317-328. https://doi.org/10.1111/ddi.12530
Vietnam, Laos; Annamite region
We want to learn more about the ecology of the little known Annamite endemics and understand what anthropogenic predictors drive the current distribution of these threatened species. In addition to habitat loss, unsustainable hunting is emerging as an increasingly important threat to tropical wildlife biodiversity. Due to pervasive hunting even many protected areas face massive species losses today. This widespread defaunation has been particularly severe in Indochina, where ‘industrial’ snaring has decimated wildlife populations drastically and driven many species to local extinction. Since 2014 we have implemented systematic camera-trapping and iDNA surveys across protected and non-protected areas within the Annamite ecoregion, an Indochinese biodiversity hotspot with an exceptionally high concentration of endemic mammals that, at the same time, face exposure to the highest hunting pressures. Using modern species distribution models we aim to identify and predict areas of particular conservation concern in order to support better conservation efforts by our partners.
People involved: Andrew Tilker, An The Troung Nguyen, Than Van Nguyen
Local partners Vietnam: WWF Vietnam, Save Vietnam’s Wildlife, Fauna & Flora International, Southern Institute of Ecology, Central Institute for Natural Resources and Environmental Studies, Vinh University
Local partners Laos: WWF Laos, Project Anoulak
My work focuses on the ecology and distribution of Annamite endemic species, with the ultimate goal of using this information to guide conservation efforts. My teams and I conducted landscape-scale systematic camera-trapping and leech surveys across five areas in the central Annamites landscape: Bach Ma National Park, the Hue and Quang Nam Saola Nature Reserves,… Read More
Tilker A, Nguyen A, Abrams JF, Bhagwat T, Le M, Nguyen TV, Nguyen AT, Niedballa J, Solllmann R & Wilting A (2018). A little-known endemic caught in the South-east Asian extinction crisis: The Annamite striped rabbit Nesolagus timminsi. Oryx 2018: 1-10. https://doi.org/10.1017/S0030605318000534
Tilker A, Long B, Gray TNE, Robichaud W, Ngoc TV, Nguyen VL, Holland J, Shurter S, Comizzoli P, Thomas PK, Ratajszczak R & Burton J (2017). Saving the saola from extinction. Science, 357(6357): 1248. https://doi.org/ 10.1126/science.aap9591
Concepts & Methodology
Developing standardized and reliable survey tools to monitor mammals in tropical rainforests.
Studying biodiversity on a larger scale is essential to support political and conservation decisions. However, combining and integrating different biodiversity datasets into larger scale analyses is often challenging and associated with a loss of data accuracy and detail. We improve, develop and establish standardized methods and protocols to study and monitor biodiversity. Hereby we focus mainly on high-throughput methods that are applicable in tropical rainforests.
ScreenForBio user guide
People involved: Jesse F Abrams, Jan Axtner, Roshan Guharajan, Azlan bin Mohamed, Badru Mugerwa, Andrew Tilker, Seth T Wong, Andreas Wilting
Collaborators: Prof. Dr. Rahel Sollmann (University California, Davis), Prof. Dr. Douglas Yu (University of East Anglia & Kunming University), Dr. Anirban Mukhopadhyay (Department of Computer Science, Technische Universität Darmstadt, 64283 Darmstadt, Germany)
Cameratraps are operational 24 hours a day and can work continuously for months at a time; therefore they represent an ideal method for gathering data even on rare and elusive species of tropical rainforest. To manage large amounts of camera-trapping data and to prepare the data for downstream data analyses we created the R package… Read More
Understanding the fundamental drivers of species occurrence is a central tenant of ecology. We develop field protocols and pipelines for standardized in-situ habitat surveys as well as ex-situ remote sensing methods in order to collect environmental data. These are essential for answering ecological questions about the distribution of species with respect to available habitat and/or… Read More
No place on Earth is our understanding of the impacts of habitat degradation on biodiversity so limited like in the tropical rain forest regions. In my PhD I am conducting a pantropical assessment of the impacts of habitat degradation on tropical forest terrestrial mammals. This is possible through combining novel statistical and modelling approaches which… Read More
Abrams JF, Hörig L, Brozovic R, Axtner J, Crampton-Platt A, Mohamed A, Wong ST, Sollmann R, Yu DW & Wilting A (2019). Shifting up a gear with iDNA: from mammal detection events to standardized surveys. Journal of Applied Ecology. https://doi.org/10.1111/1365-2664.13411
Axtner J, Crampton-Platt A, Hörig L, Mohamed A, Xu CCY, Yu DW & Wilting A (2019). An efficient and robust laboratory workflow and tetrapod database for larger scale environmental DNA studies, GigaScience, 8(4): giz029, https://doi.org/10.1093/gigascience/giz029
Niedballa J, Wilting A, Sollmann R, Hofer H & Courtiol A (2019). Assessing analytical methods for detecting spatiotemporal interactions between species from camera trapping data. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.107
Abrams JF, Vashishtha A, Wong ST, Nguyen A, Mohamed A, Wieser S, Kuijper A, Wilting A & Mukhopadhyay A (2019). Habitat-Net: Segmentation of habitat images using deep learning. Ecological Informatics, 51: 121-128. https://doi.org/10.1016/j.ecoinf.2019.01.009
Bush A, Sollmann R, Wilting A, Bohmann K, Cole B, Balzter H, Martius C, Zlinszky A, Calvignac-Spencer S, Cobbold CA, Dawson TP, Emerson BC, Ferrier S, Gilbert MTP, Herold M, Jones L, Leendertz FH, Matthews L, Millington JDA, Olson JR, Ovaskainen O, Raffaelli D, Reeve R, Rödel MO, Rodgers TW, Snape S, Visseren-Hamakers I, Vogler AP, White PCL, Wooster MJ & Yu DW (2017). Connecting Earth observation to high-throughput biodiversity data. Nature Ecology & Evolution, 1(7):176. https://doi.org/10.1038/s41559-017-0176
Mohd Salleh F, Ramos-Madrigal J, Penaloza F, Liu S, Sinding M-HS, Patel RP, Martins R, Lenz D, Fickel J, Roos C, Shamsir MS, Azman MS, Lim BK, Rossiter SJ, Wilting A & Gilbert MTP (2017). An extended Mammal mitogenome dataset from Southeast Asia. Gigascience, 6(8): gix053. https://doi.org/10.1093/gigascience/gix053
Niedballa J, Sollmann R, Courtiol A & Wilting A (2016). camtrapR: an R package for efficient camera trap data management. Methods in Ecology and Evolution, 7(12): 1457-1462. https://doi.org/10.1111/2041-210X.12600