TY - JOUR A1 - Patel, Riddhi P. A1 - Förster, Daniel W. A1 - Kitchener, Andrew C. A1 - Rayan, Mark D. A1 - Mohamed, Shariff W. A1 - Werner, Laura A1 - Lenz, Dorina A1 - Pfestorf, Hans A1 - Kramer-Schadt, Stephanie A1 - Radchuk, Viktoriia A1 - Fickel, Jörns A1 - Wilting, Andreas T1 - Two species of Southeast Asian cats in the genus Catopuma with diverging histories: an island endemic forest specialist and a widespread habitat generalist JF - Royal Society Open Science N2 - Background. The bay cat Catopuma badia is endemic to Borneo, whereas its sister species the Asian golden cat Catopuma temminckii is distributed from the Himalayas and southern China through Indochina, Peninsular Malaysia and Sumatra. Based onmorphological data, up to five subspecies of the Asian golden cat have been recognized, but a taxonomic assessment, including molecular data and morphological characters, is still lacking. Results. We combined molecular data (whole mitochondrial genomes), morphological data (pelage) and species distribution projections (up to the Late Pleistocene) to infer how environmental changes may have influenced the distribution of these sister species over the past 120 000 years. The molecular analysis was based on sequenced mitogenomes of 3 bay cats and 40 Asian golden cats derived mainly from archival samples. Our molecular data suggested a time of split between the two species approximately 3.16 Ma and revealed very low nucleotide diversity within the Asian golden cat population, which supports recent expansion of the population. Discussion. The low nucleotide diversity suggested a population bottleneck in the Asian golden cat, possibly caused by the eruption of the Toba volcano in Northern Sumatra (approx. 74 kya), followed by a continuous population expansion in the Late Pleistocene/Early Holocene. Species distribution projections, the reconstruction of the demographic history, a genetic isolation-by-distance pattern and a gradual variation of pelage pattern support the hypothesis of a post-Toba population expansion of the Asian golden cat from south China/Indochina to PeninsularMalaysia and Sumatra. Our findings reject the current classification of five subspecies for the Asian golden cat, but instead support either a monotypic species or one comprising two subspecies: (i) the Sunda golden cat, distributed south of the Isthmus of Kra: C. t. temminckii and (ii) Indochinese, Indian, Himalayan and Chinese golden cats, occurring north of the Isthmus: C. t. moormensis. KW - Felidae KW - Southeast Asia KW - last glacial maximum KW - Toba volcanic eruption KW - hybrid capture KW - next generation sequencing Y1 - 2016 U6 - https://doi.org/10.1098/rsos.160350 SN - 2054-5703 VL - 3 SP - 741 EP - 752 PB - Royal Society CY - London ER - TY - JOUR A1 - Kramer-Schadt, Stephanie A1 - Niedballa, Jürgen A1 - Pilgrim, John D. A1 - Schröder-Esselbach, Boris A1 - Lindenborn, Jana A1 - Reinfelder, Vanessa A1 - Stillfried, Milena A1 - Heckmann, Ilja A1 - Scharf, Anne K. A1 - Augeri, Dave M. A1 - Cheyne, Susan M. A1 - Hearn, Andrew J. A1 - Ross, Joanna A1 - Macdonald, David W. A1 - Mathai, John A1 - Eaton, James A1 - Marshall, Andrew J. A1 - Semiadi, Gono A1 - Rustam, Rustam A1 - Bernard, Henry A1 - Alfred, Raymond A1 - Samejima, Hiromitsu A1 - Duckworth, J. W. A1 - Breitenmoser-Wuersten, Christine A1 - Belant, Jerrold L. A1 - Hofer, Heribert A1 - Wilting, Andreas T1 - The importance of correcting for sampling bias in MaxEnt species distribution models JF - Diversity & distributions : a journal of biological invasions and biodiversity N2 - AimAdvancement in ecological methods predicting species distributions is a crucial precondition for deriving sound management actions. Maximum entropy (MaxEnt) models are a popular tool to predict species distributions, as they are considered able to cope well with sparse, irregularly sampled data and minor location errors. Although a fundamental assumption of MaxEnt is that the entire area of interest has been systematically sampled, in practice, MaxEnt models are usually built from occurrence records that are spatially biased towards better-surveyed areas. Two common, yet not compared, strategies to cope with uneven sampling effort are spatial filtering of occurrence data and background manipulation using environmental data with the same spatial bias as occurrence data. We tested these strategies using simulated data and a recently collated dataset on Malay civet Viverra tangalunga in Borneo. LocationBorneo, Southeast Asia. MethodsWe collated 504 occurrence records of Malay civets from Borneo of which 291 records were from 2001 to 2011 and used them in the MaxEnt analysis (baseline scenario) together with 25 environmental input variables. We simulated datasets for two virtual species (similar to a range-restricted highland and a lowland species) using the same number of records for model building. As occurrence records were biased towards north-eastern Borneo, we investigated the efficacy of spatial filtering versus background manipulation to reduce overprediction or underprediction in specific areas. ResultsSpatial filtering minimized omission errors (false negatives) and commission errors (false positives). We recommend that when sample size is insufficient to allow spatial filtering, manipulation of the background dataset is preferable to not correcting for sampling bias, although predictions were comparatively weak and commission errors increased. Main ConclusionsWe conclude that a substantial improvement in the quality of model predictions can be achieved if uneven sampling effort is taken into account, thereby improving the efficacy of species conservation planning. KW - Borneo KW - carnivora KW - conservation planning KW - ecological niche modelling KW - maximum entropy (MaxEnt) KW - sampling bias KW - Southeast Asia KW - species distribution modelling KW - viverridae Y1 - 2013 U6 - https://doi.org/10.1111/ddi.12096 SN - 1366-9516 SN - 1472-4642 VL - 19 IS - 11 SP - 1366 EP - 1379 PB - Wiley-Blackwell CY - Hoboken ER -