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| Content Provider | Springer Nature Link |
|---|---|
| Author | Igbawua, Tertsea Zhang, Jiahua Chang, Qing Yao, Fengmei |
| Copyright Year | 2016 |
| Abstract | Vegetation dynamics in Nigeria were assessed using the GIMMS AVHRR NDVI3g bimonthly data and NASA’s Modern Era Retrospective Analysis for Research and Applications (MERRA) monthly climate data from 1982 to 2011. The climate data employed, included air temperature, precipitation and humidity (at 2 m). The results indicated that the annual mean NDVI increased by 0.03 × 10$^{−4}$ NDVI/year of the Nigeria’s total vegetative area. About 94.7 % of the area showed positive trends mostly in the southern part of the country, while 5.3 % showed negative trends mostly in the northern part. At country scale, vegetation dynamics were significantly correlated with air temperature (p < 0.001, C(r) = −0.733), precipitation (p < 0.001, C(r) = 0.742) and humidity (p < 0.001, C(r) = 0.787). About 85.0, 52.4 and 57.1 % pixels showed positive correlation between vegetation and air temperature, precipitation and humidity respectively while 15.7, 47.6, and 42.9 % pixels were negatively correlated respectively. Similarly, the difference between wet and dry-seasonal pixels was also obtained and represented as ΔNDVI, ΔT, ΔH, and ΔP for vegetation, temperature, humidity and precipitation respectively. The individual correlations between ΔNDVI and ΔT, ΔP and ΔH produced −0.386, 0.100 and 0.251 respectively. Moreover, the covariance showed −0.04, 3.57 and 0.06 respectively. This means a decrease in the vegetation resulted in the temperature increase and vice versa. However, for precipitation and humidity; an increase in one quantity rather showed vegetation increase. All the correlations between the seasonal changes were low, but arguably, ΔT showed a better relationship followed by ΔH then ΔP. It was therefore suggestive that vegetation dynamics were also influenced by other factors like demography and land use. Also, the current vegetation activity was sensitive to the previous month’s humidity, air temperature and precipitation which occurred after 1, 2 and 4 months respectively. This work showed that the spatial–temporal variations in vegetation growth were affected by precipitation, temperature, and humidity in Nigeria. However, not all the changes were attributed to the climate variables. Human activities also influenced the changes that occurred in Nigeria’s vegetation during the study period. This work is therefore a step in climate-change monitoring in Nigeria, which will serve as a contribution to the ongoing research works on vegetation dynamics and climate change monitoring. |
| Starting Page | 1 |
| Ending Page | 16 |
| Page Count | 16 |
| File Format | |
| ISSN | 18666280 |
| Journal | Environmental Earth Sciences |
| Volume Number | 75 |
| Issue Number | 6 |
| e-ISSN | 18666299 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2016-03-18 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Vegetation dynamics Climate change Nigeria Turning point Trends in NDVI Geology Hydrology/Water Resources Geochemistry Environmental Science and Engineering Terrestrial Pollution Biogeosciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology |
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