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AuthorMohammad, Hadi Ahmad
AuthorAbubakar, Ahmed
AuthorYusoff Ishak, Mohd
AuthorShehu Danhassan, Samir
AuthorJiahua, Zhang
AuthorAlatalo, Juha M.
Available date2023-10-30T05:08:36Z
Publication Date2023-11-30
Publication NameEcological Indicators
Identifierhttp://dx.doi.org/10.1016/j.ecolind.2023.110979
ISSN1470160X
URIhttps://www.sciencedirect.com/science/article/pii/S1470160X23011214
URIhttp://hdl.handle.net/10576/48858
AbstractClimate change significantly impacts local, regional, and global vegetation changes. These changes have continued to threaten ecosystems, especially in dryland areas where moisture is scarce, and the livelihoods of rural communities are at risk because of such changes, as well as their capacity to provide outputs and sustain the livelihoods of rural communities. This study aims to derive a simulation model of vegetation conditions concerning daily temperature and extreme precipitation indices in Katsina State, Nigeria. This study uses remote sensing and Geographic Information System (GIS)-based analysis, time series analysis of precipitation, maximum and minimum temperature, and twenty-four indices defined by the Expert Team on Climate Change Detection to evaluate the influence of Temp and precipitation extreme indices on vegetation dynamics/NDVI. The results indicate that the statistical downscaling model (SDSM) is performing satisfactorily in predicting maximum and minimum temperatures, along with precipitation, for the time horizon of the simulation. Mean precipitation of 1.98 mm (RCP2.6), 2.03 mm (RCP4.5), and 2.07 mm (RCP8.5) was revealed in the study area. Tmax and Tmin were projected under low emissions at 20.1 0C and 14.25 0C (RCP2.6), 20.13 °C and 14.26 0C (RCP4.5), and 20.15 0C and 14.27 0C (RCP8.5) respectively. All the scenarios present increasing minimum and maximum temperatures and decreasing precipitation, except for RCP8.5, which predicted a more adverse trend. However, in Katsina State, the Normalized Difference Vegetation Index (NDVI), precipitation, Tmax, and Tmin, extreme temperature and precipitation indices, and drought indices successfully demonstrated spatial and temporal variability.
SponsorOpen Access funding was provided by the Qatar National Library.
Languageen
PublisherElsevier
SubjectVegetation
Precipitation
Maximum temperature
Minimum temperature
TitleModeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM)
TypeArticle
Volume Number155
Open Access user License http://creativecommons.org/licenses/by/4.0/
dc.accessType Open Access


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