Spatiotemporal occurrence of Mishmi takin Budorcas taxicolor in Dulongjiang Region, southwestern China

Xueyou Li 1 , Cheng Huang 1 , and Xuelong Jiang 1
  • 1 State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 Jiaochang Donglu, Kunming, China
Xueyou Li
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 Jiaochang Donglu, Kunming, Yunnan, China
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, Cheng Huang
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 Jiaochang Donglu, Kunming, Yunnan, China
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and Xuelong Jiang
  • Corresponding author
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 Jiaochang Donglu, Kunming, Yunnan, China
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Abstract

Here, we assessed the spatiotemporal distribution of the poorly studied Mishmi takin Budorcas taxicolor to gain a preliminary understanding of the spatiotemporal ecology of the species. We used presence data from line transects and camera-trap surveys combined with a presence-only species distribution model to identify the key factors relevant to takin distribution. Distance to residential site was the main contributing factor to the model predicting habitat suitability for takin. Mishmi takin appeared to prefer habitats far away from residential locations. Our predicted suitable habitats for takin were highly fragmented and were constrained in narrow ranges of remote mountain areas. A circular distribution curve fitted to camera events indicated that grouped takin were more active during the day and less active at night compared to solitary takin. Differences in activity patterns between takin in groups and solitaries might relate to sexual segregation and calve attendance. Our information on the distribution and habitat characteristics of the species will assist habitat management and our prediction map could guide future field surveys for locating a long-term monitoring program.

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