کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6359062 | 1622749 | 2013 | 10 صفحه PDF | دانلود رایگان |
- Foliar nitrogen of mangroves can be mapped accurately using hyperspectral imagery.
- Multivariate prediction models provided higher accuracy than vegetation indices.
- Local environment affect the spatial variation of foliar nitrogen concentrations.
- Mangroves closer to the shrimp ponds had higher foliar nitrogen concentrations.
Conversion of mangroves to shrimp ponds creates fragmentation and eutrophication. Detection of the spatial variation of foliar nitrogen is essential for understanding the effect of eutrophication on mangroves. We aim (i) to estimate nitrogen variability across mangrove landscapes of the Mahakam delta using airborne hyperspectral remote sensing (HyMap) and (ii) to investigate links between the variation of foliar nitrogen mapped and local environmental variables. In this study, multivariate prediction models achieved a higher level of accuracy than narrow-band vegetation indices, making multivariate modeling the best choice for mapping. The variation of foliar nitrogen concentration in mangroves was significantly influenced by the local environment: (1) position of mangroves (seaward/landward), (2) distance to the shrimp ponds, and (3) predominant mangrove species. The findings suggest that anthropogenic disturbances, in this case shrimp ponds, influence nitrogen variation in mangroves. Mangroves closer to the shrimp ponds had higher foliar nitrogen concentrations.
Journal: Marine Pollution Bulletin - Volume 76, Issues 1â2, 15 November 2013, Pages 42-51