ACTA THERIOLOGICA SINICA >

2023 , Vol. 43 >Issue 5: 523 - 532

DOI: https://doi.org/10.16829/j.slxb.150785

ORIGINAL PAPERS

Estimating the population size of wild boar (Sus scrofa) in Kaihua County, Zhejiang Province using camera-trapping data

  • CHEN Xiaonan ,
  • TIAN Jia ,
  • LIU Mingzhang ,
  • SHEN Yunyi ,
  • YU Jianping ,
  • LIU Feng ,
  • SHEN Xiaoli ,
  • LI Sheng
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  • 1 Qianjiangyuan National Park Administration, Kaihua 324300, China;
    2 School of Life Sciences, Peking University, Beijing 100871, China;
    3 Department of Electrical Engineering and Computer Science, Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA;
    4 Kaihua Forestry Bureau, Kaihua 324300, China;
    5 State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China

Received date: 2023-03-08

  Revised date: 2023-07-20

  Online published: 2023-09-22

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Abstract

Wild boar (Sus scrofa) has high fecundity and strong adaptability to various environments. In recent years, the populations of wild boar in China have been increasing dramatically, causing numerous human-wildlife conflicts primarily due to crop damages and people injuries by the boars. To provide a scientific basis for future planned hunting and population management, we took Kaihua County, Zhejiang Province as an example to estimate the population size of wild boar using camera-trapping data. The camera-trapping data, collected during September and October 2020, contained 964 independent records of wild boar from 429 camera stations with an extensive sampling effort of 23 690 camera days. We used the Royle-Nichols model, combining environmental factors including terrain, vegetation and human impacts and the species’home range parameter, to estimate the population and distribution of wild boars in Kaihua. The results showed that the population size of wild boar within the study area was estimated as 5548 ±2343 (mean ±95% C. I. ), with an average density of 2. 38 ±0. 61 (mean ±SD) ind. /km2, which was negatively associated with altitude and resident density, and slightly positively associated with forest coverage. Based on the results, we suggest that wild boar hunting, as a management measure to control its population, in the study area should be conducted in farmland, plantations, and ecotone areas of forest and farmland, where the boar densities are high. In the future, local administrations and the Qianjiangyuan National Park shall integrate data from the systematically designed camera-trapping network, as well as those from hunting records and other sources, into this management framework, so that the population dynamics model of target species can be continuously updated and improved, and a long-term population dynamics monitoring system can be established.

Key words： Wild boar; Population management; Human-wildlife conflict; Planned hunting; Population density estimation; Camera-trapping

Cite this article

CHEN Xiaonan , TIAN Jia , LIU Mingzhang , SHEN Yunyi , YU Jianping , LIU Feng , SHEN Xiaoli , LI Sheng . Estimating the population size of wild boar (Sus scrofa) in Kaihua County, Zhejiang Province using camera-trapping data[J]. ACTA THERIOLOGICA SINICA, 2023 , 43(5) : 523 -532 . DOI: 10.16829/j.slxb.150785

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