TY - JOUR
T1 - Interannual variabilty of NDVI and bird species diversity in Kenya
AU - Oindo, B.O.
AU - De By, R.A.
AU - Skidmore, A.K.
PY - 2000/12/1
Y1 - 2000/12/1
N2 - Species richness, or simply the number of species in a given area, is commonly used as an important indicator of biological diversity. Spatial variability in species richness has been postulated to depend upon environmental factors such as climate and climatic variability, which in turn may affect net primary productivity. The Advanced very High Resolution Radiometer (AVHRR) derived Normalized Difference Vegetation index (NDVI) has been shown to be correlated with climatic variables including rainfall, actual evapotranspiration and net primary productivity. To determine factors favoring high species richness, we examined the relationship between interannual NDVI variables and species richness of birds at a quarter degree scale (55 × 55 km). Results revealed a strong positive correlation between species richness and maximum average NDVI. Conversely, species richness showed negative correlation with standard deviation of maximum NDVI and the coefficient of variation. Though these relationships are indirect, they apparently operate through the green vegetation cover. Understanding such relationships can help in mapping and monitoring biological diversity, as well as in estimating changes in species richness in response to global climatic change.
AB - Species richness, or simply the number of species in a given area, is commonly used as an important indicator of biological diversity. Spatial variability in species richness has been postulated to depend upon environmental factors such as climate and climatic variability, which in turn may affect net primary productivity. The Advanced very High Resolution Radiometer (AVHRR) derived Normalized Difference Vegetation index (NDVI) has been shown to be correlated with climatic variables including rainfall, actual evapotranspiration and net primary productivity. To determine factors favoring high species richness, we examined the relationship between interannual NDVI variables and species richness of birds at a quarter degree scale (55 × 55 km). Results revealed a strong positive correlation between species richness and maximum average NDVI. Conversely, species richness showed negative correlation with standard deviation of maximum NDVI and the coefficient of variation. Though these relationships are indirect, they apparently operate through the green vegetation cover. Understanding such relationships can help in mapping and monitoring biological diversity, as well as in estimating changes in species richness in response to global climatic change.
KW - AVHRR-NDVI
KW - Birds
KW - Kenya
KW - Mapping
KW - Species richness
KW - Time series analysis
KW - ITC-ISI-JOURNAL-ARTICLE
UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1016/S0303-2434(00)85011-4
UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2000/isi/oindo_int.pdf
UR - http://www.scopus.com/inward/record.url?scp=33646246207&partnerID=8YFLogxK
U2 - 10.1016/S0303-2434(00)85011-4
DO - 10.1016/S0303-2434(00)85011-4
M3 - Article
VL - 2
SP - 172
EP - 180
JO - International Journal of Applied Earth Observation and Geoinformation (JAG)
JF - International Journal of Applied Earth Observation and Geoinformation (JAG)
SN - 1569-8432
IS - 3-4
ER -