Technological innovation facilitates the practice of “three-dimensional ecology”
Yanwen Fu,
Guangcai Xu,
Yumei Li,
Shang Gao,
Qinghua Guo,
Haitao Yang
Affiliations
Yanwen Fu
Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China
Guangcai Xu
Beijing GreenValley Technology Co., Ltd, Haidian District, Beijing 100091, China
Yumei Li
Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
Shang Gao
Beijing GreenValley Technology Co., Ltd, Haidian District, Beijing 100091, China
Qinghua Guo
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China; Corresponding author
Haitao Yang
Ministry of Education Key Laboratory for Biodiversity Science and Engineering, Northeast Tiger and Leopard Biodiversity National Observation and Research Station, National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center, National Forestry and Grassland Administration Key Laboratory for Conservation Ecology in Northeast Tiger and Leopard National Park, College of Life Sciences, Beijing Normal University, Beijing, China; Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China; Corresponding author
Summary: The development of “three-dimensional ecology” reveals refreshing phenomena and challenges us to use three-dimensional information for studying animal perception. We created a new processing framework to quantify the shielding effect using a reconstructed environmental structure. The framework achieves three objectives: 1) the observed is introduced, 2) the observed space size can be flexibly dealt with, and 3) three-dimensional attributes are assigned to the environmental structure. Our processing framework is an applicable method to “three-dimensional ecology” based on the three-dimensional attributes of physical structures. We advocate for greater emphasis on “three-dimensional ecology” to recreate realistic animal living conditions and better reveal their behaviors.
