Mapping understory invasive plant species with fi eld and remotely sensed data in Chitwan, Nepal

REMOTE SENSING OF ENVIRONMENT

卷:250

Article

Dai, Jie^1,2,3  Roberts, Dar A.²  Stow, Doug A.^1,3  An, Li^1,3  Hall, Sharon J.⁴  Yabiku, Scott T.⁵  Kyriakidis, Phaedon C.^2,6 

[1] San Diego State Univ, Dept Geog, San Diego, CA 92182 USA

[2] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA

[3] San Diego State Univ, Ctr Complex Human Environm Syst, San Diego, CA 92182 USA

[4] Arizona State Univ, Sch Life Sci, Tempe, AZ 85281 USA

[5] Penn State Univ, Dept Sociol & Criminol, University Pk, PA 16802 USA

[6] Cyprus Univ Technol, Dept Civil Engn & Geomat, CY-3036 Limassol, Cyprus

关键词: Invasive species;    Understory vegetation;    Spectral mixture analysis;    Maxent;    Landsat;    Mikania micrantha;    Chitwan National Park;   

DOI  :  10.1016/j.rse.2020.112037

来源: Elsevier

【 摘 要 】

Monitoring invasive species distribution and prevalence is important, but direct field-based assessment is often impractical. In this paper, we introduce and validate a cost-effective method for mapping understory invasive plant species. We utilized Landsat imagery, spectral mixture analysis (SMA) and a maximum entropy (Maxent) modeling framework to map the spatial extent of Mikania micrantha in Chitwan National Park, Nepal and community forests within its buffer zone. We developed a spectral library from reference and image sources and applied multiple endmember SMA (MESMA) to selected Landsat imagery. Incorporating the resultant green vegetation and shade fractions into Maxent, we mapped the distribution of understory M. micrantha in the study area, with training and testing Area under Curve (AUC) values around 0.80, and kappa around 0.55. In vegetated places, especially mature forests, an increase in green vegetation fraction and decrease in shade fraction was associated with higher likelihood of M. micrantha presence. In addition, the inclusion of elevation as a model input further improved map accuracy (AUC around 0.95; kappa around 0.80). Elevation, a surrogate for distance to water in this case, proved to be the determining factor of M. micrantha's distribution in the study area. The combination of MESMA and Maxent can provide significant opportunities for understanding understory vege-tation distribution, and contribute to ecological restoration, biodiversity conservation, and provision of sustainable ecosystem services in protected areas.

【 授权许可】

Free