Interannual variability of NDVI and species richness in Kenya

Ecologists have long recognized the spatial variability of species richness. In an attempt to identify the factors responsible for this variability, ecologists have traditionally used environmental data obtained from sparse point samples (such as meteorological stations). However, remotely sensed da...

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Published in:	International journal of remote sensing Vol. 23; no. 2; pp. 285 - 298
Main Authors:	Oindo, B. O., Skidmore, A. K.
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis Group 01.01.2002 Taylor and Francis
Subjects:	Applied geophysics Earth sciences Earth, ocean, space Exact sciences and technology Internal geophysics Soils Surficial geology Kenya East Africa very high resolution Africa radiometry spatiotemporal variations remote sensing vegetation evapotranspiration statistical analysis primary productivity heterogeneity standard deviation
ISSN:	0143-1161, 1366-5901
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Abstract	Ecologists have long recognized the spatial variability of species richness. In an attempt to identify the factors responsible for this variability, ecologists have traditionally used environmental data obtained from sparse point samples (such as meteorological stations). However, remotely sensed data also provide a means of estimating relevant environmental factors and thereby improving predictions of species richness. The Advanced Very High Resolution Radiometer Normalized Difference Vegetation Index (AVHRR NDVI) has been shown to be related to net primary productivity (NPP) and actual evapotranspiration (AET) for many vegetation types. NPP and AET have frequently been used as surrogate measures for species richness. Local spatial variability of NPP and AET, indicating habitat heterogeneity, is hypothesized as another influence on species richness. We examined the relationship between interannual maximum NDVI parameters and species richness of vascular plants and mammals. The study was done at a landscape scale, which matches the scale of data collection. Statistical analyses revealed that higher average NDVI results in lower species richness, whereas standard deviation and coefficient of variation correlated positively with species richness. Thus, NDVI parameters appear to represent environmental factors influencing species richness. Hence, by utilizing remote sensing, our understanding of the spatial variability of species richness was improved.
AbstractList	Ecologists have long recognized the spatial variability of species richness. In an attempt to identify the factors responsible for this variability, ecologists have traditionally used environmental data obtained from sparse point samples (such as meteorological stations). However, remotely sensed data also provide a means of estimating relevant environmental factors and thereby improving predictions of species richness. The Advanced Very High Resolution Radiometer Normalized Difference Vegetation Index (AVHRR NDVI) has been shown to be related to net primary productivity (NPP) and actual evapotranspiration (AET) for many vegetation types. NPP and AET have frequently been used as surrogate measures for species richness. Local spatial variability of NPP and AET, indicating habitat heterogeneity, is hypothesized as another influence on species richness. We examined the relationship between interannual maximum NDVI parameters and species richness of vascular plants and mammals. The study was done at a landscape scale, which matches the scale of data collection. Statistical analyses revealed that higher average NDVI results in lower species richness, whereas standard deviation and coefficient of variation correlated positively with species richness. Thus, NDVI parameters appear to represent environmental factors influencing species richness. Hence, by utilizing remote sensing, our understanding of the spatial variability of species richness was improved.
Author	Oindo, B. O. Skidmore, A. K.
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Cites_doi	10.1016/0034-4257(91)90018-2 10.1086/283366 10.2307/1936378 10.1080/01431168408948876 10.1080/01431169108929727 10.1080/014311698214343 10.1038/244310a0 10.1016/S0140-1963(18)31272-2 10.1080/01431169608949091 10.1007/978-1-4612-3302-2_10 10.1016/0034-4257(79)90013-0 10.1080/014311698214677 10.1080/01431169308954007 10.2307/3235578 10.2307/2399469 10.1007/978-3-642-68935-2_20 10.1080/01431168608948946 10.1007/BF00048034 10.1080/01431168608948944 10.1111/j.1365-2699.1997.tb00049.x 10.1080/01431168608948954 10.1080/01431169108929726 10.1080/01431168608948948 10.1080/01431168608948945
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Title	Interannual variability of NDVI and species richness in Kenya
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