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Nigeria vegetation trend during recent West African monsoon season and the near future implications in CORDEX-Africa
Agricultural and Forest Meteorology ( IF 5.6 ) Pub Date : 2025-03-18 , DOI: 10.1016/j.agrformet.2025.110499
Ugochukwu K. Okoro , Chijioke U. Opara , Hyacinth C. Nnamchi , Wen Chen
Agricultural and Forest Meteorology ( IF 5.6 ) Pub Date : 2025-03-18 , DOI: 10.1016/j.agrformet.2025.110499
Ugochukwu K. Okoro , Chijioke U. Opara , Hyacinth C. Nnamchi , Wen Chen
This study investigated the impact of recent West African monsoon seasonal rainfall on the vegetation trend in Nigeria. Using Mann-Kendall test, the satellite estimates revealed increasing trends in the mean Normalized Difference Vegetation Index (NDVI) at 95 % in area of the location between 1981 and 2020 with statistical significance (atα ≤ 0.5 levels of significance) in the south-western States. The 6-month Standardized Precipitation Index (SPI) from the Climate Research Unit (CRU) observational rainfall within the same period indicated increasing trends at 73 % of the area with statistical significance (at α ≤ 0.5 levels of significance) in the northern States above the 9° N latitude. From the temporal correlations between the seasonal rainfall and vegetation trends, there was significant (at 95 % confidence level from the t -test) positive characteristic impact on 89 % of the area. The CORDEX-Africa historical experiment outputs (1981–2005) of the selected models and the ensemble mean revealed strong correlation values with high normalized RMSE when representing the seasonal rainfall simulation. The bias-corrected output (2006–2020) in the RCP 8.5 experiment showed notably enhanced representation quality of the models and the ensemble mean, with 87 % of the area demonstrating “reasonable performance” efficiency. The 6-month SPI projection from 2021 to 2050 indicated positive trends in 84 % of the area. Indeed, the relative percentage difference between projected and baseline trends compellingly suggests a decrease in seasonal rains by 2050, intensifying the demand on vegetation and introducing additional climate challenges.
中文翻译:
尼日利亚最近西非季风季节的植被趋势以及对 CORDEX-Africa 的近期影响
本研究调查了近期西非季风季节性降雨对尼日利亚植被趋势的影响。使用 Mann-Kendall 检验,卫星估计显示,1981 年至 2020 年期间,该位置面积的平均归一化差值植被指数 (NDVI) 呈增加趋势,为 95%,在西南部各州具有统计学意义(atα≤0.5 显著性水平)。气候研究单位 (CRU) 同期观测降雨的 6 个月标准化降水指数 (SPI) 显示,在北纬 9° 以上北部各州,具有统计显著性(α≤0.5 显著性水平)的 73% 的面积呈增加趋势。从季节性降雨和植被趋势之间的时间相关性来看,对 89% 的地区有显著的(在 t 检验的 95% 置信水平下)积极特征影响。所选模式的 CORDEX-Africa 历史实验输出 (1981-2005) 和集成均值在表示季节性降雨模拟时显示与高归一化 RMSE 的强相关性值。RCP 8.5 实验中的偏差校正输出 (2006-2020) 显示模型的表示质量和集成均值显著提高,87% 的区域表现出“合理的性能”效率。从 2021 年到 2050 年的 6 个月 SPI 预测表明,该地区 84% 的地区呈积极趋势。事实上,预测趋势与基线趋势之间的相对百分比差异令人信服地表明,到 2050 年,季节性降雨将减少,从而加剧对植被的需求并带来额外的气候挑战。
更新日期:2025-03-18
中文翻译:

尼日利亚最近西非季风季节的植被趋势以及对 CORDEX-Africa 的近期影响
本研究调查了近期西非季风季节性降雨对尼日利亚植被趋势的影响。使用 Mann-Kendall 检验,卫星估计显示,1981 年至 2020 年期间,该位置面积的平均归一化差值植被指数 (NDVI) 呈增加趋势,为 95%,在西南部各州具有统计学意义(atα≤0.5 显著性水平)。气候研究单位 (CRU) 同期观测降雨的 6 个月标准化降水指数 (SPI) 显示,在北纬 9° 以上北部各州,具有统计显著性(α≤0.5 显著性水平)的 73% 的面积呈增加趋势。从季节性降雨和植被趋势之间的时间相关性来看,对 89% 的地区有显著的(在 t 检验的 95% 置信水平下)积极特征影响。所选模式的 CORDEX-Africa 历史实验输出 (1981-2005) 和集成均值在表示季节性降雨模拟时显示与高归一化 RMSE 的强相关性值。RCP 8.5 实验中的偏差校正输出 (2006-2020) 显示模型的表示质量和集成均值显著提高,87% 的区域表现出“合理的性能”效率。从 2021 年到 2050 年的 6 个月 SPI 预测表明,该地区 84% 的地区呈积极趋势。事实上,预测趋势与基线趋势之间的相对百分比差异令人信服地表明,到 2050 年,季节性降雨将减少,从而加剧对植被的需求并带来额外的气候挑战。