Quantitative analysis of habitat suitability of important tree species based on remote sensing and geographic information technology: a case study of Hynobius Anji National Nature Reserve

doi:10.13474/j.cnki.11-2246.2025.0221

Abstract

Abstract: Anji Hynobius National Nature Reserve is a nature reserve of forest and wild animals, with rich biodiversity. There are several rare and endangered tree species distributed in the territory, such as witch hazel, liriodendron, fragrant fruit tree, Jinqian pine, southern Yew and so on. In recent years, as biodiversity conservation has been widely concerned and valued around the world, conservation monitoring and habitat analysis of important tree species in protected areas are also being intensified. Habitat suitability detection of important tree species is the basis and premise of tree species protection. Compared with the traditional survey methods of biodiversity, remote sensing can greatly improve the detection efficiency and prediction accuracy in the application of spatial quantitative analysis of habitat suitability. In this study, remote sensing and geographic information technology is used to calibrate and extract the distribution location and region of target tree species, and the maximum entropy model is used to analyze the suitable habitat of tree species, so as to determine the habitat preference of various tree species and predict their potential distribution range. Through ground survey and UAV verification, the average accuracy of tree species extraction can reach more than 75%. The results of suitable habitat prediction analysis provide important support for the exploration of potential distribution of important tree species, and provide a guarantee for reasonable and efficient protection of endangered tree species and spatio-temporal dynamic monitoring.

Key words: important tree species, remote sensing, geographic information, habitat suitability

CLC Number:

P237

JIN Shanshan, FENG Cunjun, ZUO Shilei, FANG Lulu, LI Xiaotian. Quantitative analysis of habitat suitability of important tree species based on remote sensing and geographic information technology: a case study of Hynobius Anji National Nature Reserve[J]. Bulletin of Surveying and Mapping, 2025, 0(2): 118-121,168.

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