ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Biodiversity Assessment at Multiple Scales: Linking Remotely Sensed Data with Field Information

UNSPECIFIED (1999) Biodiversity Assessment at Multiple Scales: Linking Remotely Sensed Data with Field Information. In: Proceedings of the National Academy of Sciences of the United States of America, 3, August,1999,9154-9158pp, Bangalore-India.

[img] PDF
Restricted to Registered users only

Download (190kB) | Request a copy


We examine the efficacy of a scheme of multiscale assessment of biodiversity linking remote sensing on larger spatial scales with localized field sampling. A classification of ecological entities from biosphere to individual organisms in the form of a nested hierarchy is employed, such that entities at any level are differentiated in terms of their composition/configuration involving entities at the next lower level. We employ the following hierarchy: biosphere $(10^{14}m^2 )$, ecoregions $(10^{11}-10^{12}m^ 2 )$, ecomosaics $(10^8-10^{10}m^2 )$, ecotopes $(10^3-10^6 m^2 )$, and individual organisms $(10 {-4} -10^2 m^2 )$. Focusing on a case study of West Cost-Western Ghats ecoregion $(1.7 + 10^{11} m^2 )$ from India, we demonstrate that remotely sensed data permit discrimination of 205 patches of 11 types of sufficiently distinctive ecomosaics $(10^8 -10^10 m^2 )$ through unsupervised classification by using distribution parameters of the Normalized Difference Vegetation Index, with a pixel size of $(3.24 × 10^6 m^2 )$. At the ecomosaic scale, Indian Remote Sensing LISS-2 satellite data with a pixel size of $10^3 m^2$ permit discrimination of $\approx 30$ types of sufficiently distinctive ecotopes on the basis of supervised classification. Field investigations of angiosperm species distributions based on quadrats of $1-10^2 m^2$ in one particular landscape of $27.5 × 10^6 m^2$show that the seven ecotope types distinguished in that locality are significantly different from each other in terms of plant species composition. This suggests that we can effectively link localized field investigations of biodiversity with remotely sensed information to permit extrapolations at progressively higher scales.

Item Type: Conference Proceedings
Publisher: JSTOR
Additional Information: copyright of this article belongs to JSTOR
Keywords: Biodiversity;Ecology
Department/Centre: Division of Biological Sciences > Centre for Ecological Sciences
Date Deposited: 17 Oct 2007
Last Modified: 19 Sep 2010 04:40
URI: http://eprints.iisc.ac.in/id/eprint/12142

Actions (login required)

View Item View Item