文献类型：期刊文献

英文题名：Spatial- and Temporal-Trajectory Analysis of the Crested Ibis (Nipponia nippon) by Fusing Multiple Sources of Data

作者：Zhou, Yulong[1] Jiang, Xian[2] Chen, Zhanlong[1,3,4]

第一作者：Zhou, Yulong

通信作者：Chen, ZL[1];Chen, ZL[2];Chen, ZL[3]

机构：[1]China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China;[4]China Univ Geosci, Key Lab Geol Survey & Evaluat, Minist Educ, Wuhan 430074, Peoples R China

年份：2023

卷号：13

期号：2

外文期刊名：ANIMALS

收录：;Scopus(收录号：2-s2.0-85146795403);WOS:【SCI-EXPANDED(收录号:WOS:000914173100001)】；

语种：英文

外文关键词：behavioral analysis; night roosting points; anniversary activity; trajectory data clustering; trajectory data supplementation; habitat prediction

摘要：Simple Summary This paper provides a methodology for analyzing the trajectory of the Crested Ibis (Nipponia nippon): its clustering and mining habitats, trajectory-data supplementation, the analysis of behavioral patterns, and finally, potential habitat mining. It was found that the characteristics of the Crested Ibis habitat in nature reserves include proximity to water sources and cultivated land close to woodlands. Additionally, there is a certain aggregation and sharing of night roosting sites, which are easily disturbed by human activities, and there is a strong correlation between the spatial proximity of the Crested Ibis night. Although human behavior threatens the survival of the Crested Ibis, they still depend on human behavior, mainly for food and water. Moreover, farmers are encouraged to store water in paddy fields in winter and to avoid using harmful substances such as pesticides. Luoshan County provides a protected area for the Crested Ibis; it was analyzed and found to be appropriately located, with an excellent overall habitat-rating. The Chinese Government has also set up corresponding ecological and environmental protection zones, and it is essential to provide solutions for the reintroduction of the Crested Ibis. The Crested Ibis (Nipponia nippon) is an endangered animal with an extremely high ecological, humanistic, and scientific value. However, this species still faces survival challenges, due to rapidly shrinking foraging grounds, the serious interference of human behavior, and increased habitat requirements. Geographical environment is a significant factor affecting Crested Ibis behavior-pattern analysis and habitat protection. The spatial and temporal trajectory contains habitat location and period information, a vital record of the Crested Ibis' habits, and the basis of all research. Nevertheless, there are only a handful of studies on the missing trajectory data and fusing multiple sources of environmental data-research methods. We studied the spatial and temporal habitat use of the tracked Crested lbis by fusing multiple data-sources in China. This paper adopts the LSTM (long short-term memory) model to supplement the missing trajectory data and perform cluster mining; and a random forest model is used to predict the habitat of the Crested Ibis with high fitting accuracy (R-2 = 84.9%). The results show that the Crested Ibis distribution-pattern is characterized by high altitude and proximity to woodland and rivers. Additionally, the habitat dependence on the village implicates human agricultural activities in positively impacting its reproduction. This paper provides a complete method for analyzing Crested Ibis' spatial and temporal trajectory by fusing multi-source data, which is crucial for protecting the survival and reproduction of the Crested Ibis.