CHARACTERISTICS OF AFRICAN SAVANNA BIOMES FOR DETERMINING WOODY COVER

Author(s):  
N. P. HANAN ◽  
M. SANKARAN ◽  
R. J. SCHOLES
Keyword(s):  
Oecologia ◽  
2010 ◽  
Vol 162 (4) ◽  
pp. 1027-1034 ◽  
Author(s):  
Corli Coetsee ◽  
William J. Bond ◽  
Edmund C. February

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Anne A. Loggins ◽  
Adrian M. Shrader ◽  
Ara Monadjem ◽  
Robert A. McCleery

AbstractAltered disturbance regimes, increasing atmospheric CO2, and other processes have increased woody cover and homogenized vegetation in savannas across the planet. African savannas with extensive versus minimal woody cover often have vastly different animal communities. However, we lack a clear mechanistic understanding of why animal communities are changing with vegetation structure. Our goal for this study was to understand how vegetation structure in an African savanna shaped the perceived predation risk of small mammals, hence affecting their activity. Using a reciprocal measure of standard giving-up-densities, amount of food eaten, we found sharp declines in rodents’ perceived predation risk and increased rodent activity underneath shrub cover. This response was consistent across species; however, species showed subtle differences in their responses to grassy vegetation. Our findings suggest that areas of minimal or extensive shrub cover (shrub encroachment) may be homogenizing rodents’ perceptions of predation risk and thus shaping their use of space.


Author(s):  
Russell Main ◽  
Renaud Mathieu ◽  
Waldo Kleynhans ◽  
Konrad Wessels ◽  
Laven Naidoo ◽  
...  
Keyword(s):  

2016 ◽  
Vol 13 (11) ◽  
pp. 3343-3357 ◽  
Author(s):  
Zun Yin ◽  
Stefan C. Dekker ◽  
Bart J. J. M. van den Hurk ◽  
Henk A. Dijkstra

Abstract. Observed bimodal distributions of woody cover in western Africa provide evidence that alternative ecosystem states may exist under the same precipitation regimes. In this study, we show that bimodality can also be observed in mean annual shortwave radiation and above-ground biomass, which might closely relate to woody cover due to vegetation–climate interactions. Thus we expect that use of radiation and above-ground biomass enables us to distinguish the two modes of woody cover. However, through conditional histogram analysis, we find that the bimodality of woody cover still can exist under conditions of low mean annual shortwave radiation and low above-ground biomass. It suggests that this specific condition might play a key role in critical transitions between the two modes, while under other conditions no bimodality was found. Based on a land cover map in which anthropogenic land use was removed, six climatic indicators that represent water, energy, climate seasonality and water–radiation coupling are analysed to investigate the coexistence of these indicators with specific land cover types. From this analysis we find that the mean annual precipitation is not sufficient to predict potential land cover change. Indicators of climate seasonality are strongly related to the observed land cover type. However, these indicators cannot predict a stable forest state under the observed climatic conditions, in contrast to observed forest states. A new indicator (the normalized difference of precipitation) successfully expresses the stability of the precipitation regime and can improve the prediction accuracy of forest states. Next we evaluate land cover predictions based on different combinations of climatic indicators. Regions with high potential of land cover transitions are revealed. The results suggest that the tropical forest in the Congo basin may be unstable and shows the possibility of decreasing significantly. An increase in the area covered by savanna and grass is possible, which coincides with the observed regreening of the Sahara.


2021 ◽  
Author(s):  
Travis J. Guy ◽  
Matthew C. Hutchinson ◽  
Katherine C.R. Baldock ◽  
Elisha Kayser ◽  
Benjamin Baiser ◽  
...  

2021 ◽  
Vol 108 (1) ◽  
pp. 83-90
Author(s):  
Isabel K. Wargowsky ◽  
Julienne E. NeSmith ◽  
Ricardo M. Holdo

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