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المؤلفMohammad, Hadi Ahmad
المؤلفAbubakar, Ahmed
المؤلفYusoff Ishak, Mohd
المؤلفShehu Danhassan, Samir
المؤلفJiahua, Zhang
المؤلفAlatalo, Juha M.
تاريخ الإتاحة2023-10-30T05:08:36Z
تاريخ النشر2023-11-30
اسم المنشورEcological Indicators
المعرّفhttp://dx.doi.org/10.1016/j.ecolind.2023.110979
الرقم المعياري الدولي للكتاب1470160X
معرّف المصادر الموحدhttps://www.sciencedirect.com/science/article/pii/S1470160X23011214
معرّف المصادر الموحدhttp://hdl.handle.net/10576/48858
الملخصClimate 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.
راعي المشروعOpen Access funding was provided by the Qatar National Library.
اللغةen
الناشرElsevier
الموضوعVegetation
Precipitation
Maximum temperature
Minimum temperature
العنوانModeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM)
النوعArticle
رقم المجلد155
Open Access user License http://creativecommons.org/licenses/by/4.0/
dc.accessType Open Access


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