Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM)
<p>Climate 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 capa...
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2023
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إضافة وسم
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| _version_ | 1864513531067498496 |
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| author | Mohammad Hadi Ahmad (17632248) |
| author2 | Ahmed Abubakar (8827392) Mohd Yusoff Ishak (17632251) Samir Shehu Danhassan (17632254) Zhang Jiahua (17632257) Juha M. Alatalo (2931234) |
| author2_role | author author author author author |
| author_facet | Mohammad Hadi Ahmad (17632248) Ahmed Abubakar (8827392) Mohd Yusoff Ishak (17632251) Samir Shehu Danhassan (17632254) Zhang Jiahua (17632257) Juha M. Alatalo (2931234) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohammad Hadi Ahmad (17632248) Ahmed Abubakar (8827392) Mohd Yusoff Ishak (17632251) Samir Shehu Danhassan (17632254) Zhang Jiahua (17632257) Juha M. Alatalo (2931234) |
| dc.date.none.fl_str_mv | 2023-11-01T15:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.ecolind.2023.110979 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Modeling_the_influence_of_daily_temperature_and_precipitation_extreme_indices_on_vegetation_dynamics_in_Katsina_State_using_statistical_downscaling_model_SDM_/24805206 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biological sciences Ecology Earth sciences Atmospheric sciences Climate change science Engineering Geomatic engineering Environmental sciences Climate change impacts and adaptation Vegetation Precipitation Maximum temperature Minimum temperature |
| dc.title.none.fl_str_mv | Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>Climate 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.</p><h2>Other Information</h2> <p> Published in: Ecological Indicators<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.ecolind.2023.110979" target="_blank">https://dx.doi.org/10.1016/j.ecolind.2023.110979</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_8ce89c31240aa21350a7d91c778f0c60 |
| identifier_str_mv | 10.1016/j.ecolind.2023.110979 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24805206 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM)Mohammad Hadi Ahmad (17632248)Ahmed Abubakar (8827392)Mohd Yusoff Ishak (17632251)Samir Shehu Danhassan (17632254)Zhang Jiahua (17632257)Juha M. Alatalo (2931234)Biological sciencesEcologyEarth sciencesAtmospheric sciencesClimate change scienceEngineeringGeomatic engineeringEnvironmental sciencesClimate change impacts and adaptationVegetationPrecipitationMaximum temperatureMinimum temperature<p>Climate 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.</p><h2>Other Information</h2> <p> Published in: Ecological Indicators<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.ecolind.2023.110979" target="_blank">https://dx.doi.org/10.1016/j.ecolind.2023.110979</a></p>2023-11-01T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.ecolind.2023.110979https://figshare.com/articles/journal_contribution/Modeling_the_influence_of_daily_temperature_and_precipitation_extreme_indices_on_vegetation_dynamics_in_Katsina_State_using_statistical_downscaling_model_SDM_/24805206CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/248052062023-11-01T15:00:00Z |
| spellingShingle | Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) Mohammad Hadi Ahmad (17632248) Biological sciences Ecology Earth sciences Atmospheric sciences Climate change science Engineering Geomatic engineering Environmental sciences Climate change impacts and adaptation Vegetation Precipitation Maximum temperature Minimum temperature |
| status_str | publishedVersion |
| title | Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) |
| title_full | Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) |
| title_fullStr | Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) |
| title_full_unstemmed | Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) |
| title_short | Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) |
| title_sort | Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) |
| topic | Biological sciences Ecology Earth sciences Atmospheric sciences Climate change science Engineering Geomatic engineering Environmental sciences Climate change impacts and adaptation Vegetation Precipitation Maximum temperature Minimum temperature |