Effective management measures for dynamic monitoring of resource management and protection in Shaanxi Changqing National Nature Reserve

Shaanxi Changqing National Nature Reserve Administration
Published: 07 July 2020
Last edited: 02 October 2020
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The Changqing Nature Reserve is located in Yangxian County on the Southern slope of the middle section of the Qinling Mountains, which is also located at the source of the Youshui River, a tributary of the Han River, and is adjacent to 9 administrative villages. The community situation is complex and human activities occur from time to time. In order to improve this situation, since 2014, the reserve has innovatively applied far-infrared cameras to resource management and protection, and combined with community visits, daily inspections, laws and regulations publicity, project introduction and so on, which has greatly reduced the frequency of human access to the reserve in community, ensured the safety of wild animal and plant resources in the jurisdiction, and also alleviated the conflicts between communities and protected areas.


East Asia
Scale of implementation
Forest ecosystems
Temperate deciduous forest
Temperate evergreen forest
Forest Management
Local actors
Poaching and environmental crime
Protected area governance
Protected area management planning
Species management
Lack of access to long-term funding
Changes in socio-cultural context
Sustainable development goals
SDG 3 – Good health and well-being
SDG 4 – Quality education
SDG 6 – Clean water and sanitation
Aichi targets
Target 1: Awareness of biodiversity increased
Target 5: Habitat loss halved or reduced
Target 11: Protected areas
Target 12: Reducing risk of extinction
Target 13: Safeguarding genetic diversity


Yangxian,Hanzhong, Shaanxi, People's Republic of China


  1. The implementation of the project requires the sustaining support of special funds;
  2. There is a certain conflict of interest with the community, which will cause the camera to be damaged and lost; 
  3. Poaching, and it can destroy the habitat of wildlife.


  1. Wildlife authorities
  2. Local communities
  3. Conservationists

How do the building blocks interact?

The operation between modules is very simple. The first step is to collect the influence of human interference using the infrared camera technology. The second step is to assign specific person to identify and classify the collected image data. The third step is that we carry out the work based on the identified human interference information. With the long time data accumulation, we can establish major protected areas and people in the reserve to guide the selection and placement of camera sites in the first step, making it more scientific and targeted. The three are closely linked, interacted with each other and complementary, which is a very effective protection management measure. It can not only improve the conservation efficiency but also significantly reduce the frequency of human activities, so it can be said to have strong popularization and operability.


  1. The awareness of the community about protection of resources has been improved, and the traditional use and dependence on natural resources have all been improved;
  2. The methods of resource management in the reserve are more effective, ensuring that the resources in the area can be better protected, and the information of personel who entered the area illegally has been controlled, obtaining objective and accurate evidence for forestry administrative law enforcement;
  3. Saving manpower and financial resources, and saving cost of resource conservation.


Baiyangping belongs to the core area of Changqing Nature Reserve in Shaanxi Province, and it is one of the areas where wild giant pandas are most commonly encountered in China. It is also the key monitoring area for the dynamic monitoring of human activities by infrared cameras in the giant panda protection in Changqing Nature Reserve. The use of infrared-triggered selfie cameras for dynamic monitoring of human activities has effectively collected information on human activities, and cracked down on illegal poaching of wild animals and plants. Consequently, those cameras become the reserve's hawk-eye, the day and night guardians.

Last summer, we arranged a group of infrared cameras on the main roads in the Baiyangping area. The three cameras were placed in different locations to complement each other and monitor. Monitoring found that Zhang Moumou, a villager in Banqiao Community, and three neighbors illegally entered the protected area to dig Chinese medicinal materials. Zhang Moumou found an infrared camera. They were worried that their illegal activities were exposed, so they took the camera down to the river to burry it. But what they didn't expect was that another infrared camera quietly captured their activity on photos and videos. After that, we accurately found Zhang Moumou based on the video and audio data of the other two cameras. At the beginning, he refused to admit his illegal behavior. After we presented the video and audio evidence captured by the infrared camera, he immediately confessed his illegal behavior and stated that he sincerely regretted it and went to the site to identify the scene and actively excavated the buried infrared camera. In view of their repentance, we have raised awareness and educated them about the law. They in turn apologized in writing and pledged to study the laws and regulations of wildlife protection in the future and support the protection and management of protected areas.

This case played well as a warning and education role in the local community, which enhanced the awareness of the rule of law among the residents of the community, showed employees the image of scientific management and protection, law enforcement and fair law enforcement in the reserve, and highlighted the effect of dynamic monitoring of human activities with infrared cameras, powerfully promoting the protection and management of resources in the reserve.

Contributed by

Guoyu SHAN

Other contributors

Shaanxi Changqing Nature Reserve Administration
Wang Hong Juan
Shaanxi Changqing Nature Reserve Administration
Zhang Yong Wen
Shaanxi Changqing Nature Reserve Administration
Huang Jing
Shaanxi Changqing Nature Reserve Administration
Dong Wei
Shaanxi Changqing Nature Reserve Administration