Affiliation:
1. State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
2. School of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun 130117, China
3. School of Life Sciences, Inner Mongolia University, Hohhot 010070, China
4. Inner Mongolia Traditional Chinese & Mongolian Medical Research Institute, Hohhot 010010, China
Abstract
Eucommia ulmoides Oliver. (E. ulmoides) is a species of small tree native to China. It is a valuable medicinal herb that can be used to treat Alzheimer’s disease, diabetes, hypertension, and other diseases. In addition, E. ulmoides is a source of rubber. It has both medicinal and ecological value. As ecological problems become increasingly prominent, accurate information on the cultivated area of E. ulmoides is important for understanding the carbon sequestration capacity and ecological suitability zoning of E. ulmoides. In previous tree mapping studies, no studies on the spectral characteristics of E. ulmoides and its remote sensing mapping have been seen. We use Ruyang County, Henan Province, China, as the study area. Firstly, using the 2021 Gao Fen-6 (GF-6) Wide Field of View (WFV) time series images covering the different growth stages of E. ulmoides based on the participation of red-edge bands, several band combination schemes were constructed. The optimal time window to identify E. ulmoides was selected by calculating the separability of E. ulmoides from other land cover types for different schemes. Secondly, a random forest algorithm based on several band combination schemes was investigated to map the E. ulmoides planting areas in Ruyang County. Thirdly, the annual NPP values of E. ulmoides were estimated using an improved Carnegie Ames Stanford Approach (CASA) to a light energy utilization model, which, in turn, was used to assess the carbon sequestration capacity. Finally, the ecologically suitable distribution zone of E. ulmoides under near current and future (2041–2060) climatic conditions was predicted using the MaxEnt model. The results showed that the participation of the red-edge band of the GF-6 data in the classification could effectively improve the recognition accuracy of E. ulmoides, making its overall accuracy reach 96.62%; the high NPP value of E. ulmoides was mainly concentrated in the south of Ruyang County, with a total annual carbon sequestration of 540.104835 t CM−2·a−1. The ecological suitability zone of E. ulmoides can be divided into four classes: unsuitable area, low suitable area, medium suitable area, and high suitable area. The method proposed in this paper applies to the real-time monitoring of E. ulmoides, highlighting its potential ecological value and providing theoretical reference and data support for the reasonable layout of E. ulmoides.
Funder
the Scientific and Technological Innovation Project of the China Academy of Chinese Medical Sciences
The National Natural Science Foundation of China
the Chinese Medicine Resources Dynamic Monitoring System Construction Project
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference49 articles.
1. Research progress on chemical compounds, pharmacological action, and quality status of Eucommia ulmoides;Wang;Chin. Tradit. Herb. Drugs,2017
2. Random forest classification of Callicarpa nudiflora from WorldView-3 imagery based on optimized feature space;Shi;China J. Chin. Mater. Medica,2019
3. Extraction of distribution information of Angelicae sinensis plants in Weiyuan county based on remote sensing technology;Wei;China J. Chin. Mater. Medica,2019
4. Study of extracting natural resources of Chinese medicinal materials planted area in Luoning of Henan province based on UAV of low altitude remote sensing technology and remote sensing image of satellite;Zhang;China J. Chin. Mater. Medica,2019
5. Evaluation of high-resolution images application for wild medicinal plants macro monitoring: A case of Apocynum;Na;China J. Chin. Mater. Medica,2014