The Nyasaland Section of the Great Rift Valley: Discussion

1926 ◽  
Vol 68 (2) ◽  
pp. 137
Author(s):  
Sidney Harmer ◽  
Alfred Sharpe ◽  
A. E. Kitson ◽  
F. Dixey
2021 ◽  
Vol 13 (2) ◽  
pp. 844
Author(s):  
George Watene ◽  
Lijun Yu ◽  
Yueping Nie ◽  
Jianfeng Zhu ◽  
Thomas Ngigi ◽  
...  

The Kenya Great Rift Valley (KGRV) region unique landscape comprises of mountainous terrain, large valley-floor lakes, and agricultural lands bordered by extensive Arid and Semi-Arid Lands (ASALs). The East Africa (EA) region has received high amounts of rainfall in the recent past as evidenced by the rising lake levels in the GRV lakes. In Kenya, few studies have quantified soil loss at national scales and erosion rates information on these GRV lakes’ regional basins within the ASALs is lacking. This study used the Revised Universal Soil Loss Equation (RUSLE) model to estimate soil erosion rates between 1990 and 2015 in the Great Rift Valley region of Kenya which is approximately 84.5% ASAL. The mean erosion rates for both periods was estimated to be tolerable (6.26 t ha−1 yr−1 and 7.14 t ha−1 yr−1 in 1990 and 2015 respectively) resulting in total soil loss of 116 Mt yr−1 and 132 Mt yr−1 in 1990 and 2015 respectively. Approximately 83% and 81% of the erosive lands in KGRV fell under the low risk category (<10 t ha−1 yr−1) in 1990 and 2015 respectively while about 10% were classified under the top three conservation priority levels in 2015. Lake Nakuru basin had the highest erosion rate net change (4.19 t ha−1 yr−1) among the GRV lake basins with Lake Bogoria-Baringo recording annual soil loss rates >10 t ha−1 yr−1 in both years. The mountainous central parts of the KGRV with Andosol/Nitisols soils and high rainfall experienced a large change of land uses to croplands thus had highest soil loss net change (4.34 t ha−1 yr−1). In both years, forests recorded the lowest annual soil loss rates (<3.0 t ha−1 yr−1) while most of the ASAL districts presented erosion rates (<8 t ha−1 yr−1). Only 34% of all the protected areas were found to have erosion rates <10 t ha−1 yr−1 highlighting the need for effective anti-erosive measures.


2021 ◽  
Vol 36 ◽  
pp. 100857
Author(s):  
Mathew Herrnegger ◽  
Gabriel Stecher ◽  
Christian Schwatke ◽  
Luke Olang

1966 ◽  
Vol S7-VIII (2) ◽  
pp. 176-200 ◽  
Author(s):  
Haroun Tazieff

Abstract The Niragongo volcano of the Congo region is located in the western Great Rift Valley in east Africa. The cone is formed of feldspathoidal lavas containing augite and accessory minerals, and the crater contains terraces representing ancient lava levels. Studies were conducted on the chemical composition and petrography of the rocks, on the chemistry of the gases and sublimates, and on the temperature of the lavas. The magnetic and gravimetric values for the volcano and the area were measured and energy discharge was estimated. The study confirmed the importance of the gaseous phase in volcanic phenomena.


2018 ◽  
Vol 50 (3) ◽  
pp. 513-536 ◽  
Author(s):  
Bridget L. Guarasci

AbstractThis article analyzes the restoration of Jordan's UN Dana Biosphere Reserve cottages for ecotourism and home building in the neighboring village of Qadisiyya as competing land projects. Whereas a multimillion-dollar endowment from the United States Agency for International Development (USAID) restores Dana's houses as a “heritage” village for a tourist economy, families in Qadisiyya build houses with income from provisional labor to shore up a familial future. Each act of home building articulates a political claim to land. This article argues for attention to the architecture of the environment in the comparison of two, once-related villages. A comparative analysis of Dana and Qadisiyya reveals the competing socio-political objectives of home building for the future of Jordan and the implications of environment in that struggle.


1970 ◽  
Vol 6 (2) ◽  
pp. 157-170 ◽  
Author(s):  
T. M. Wormer ◽  
J. Gituanja

SUMMARYIn Kenya, coffee growing east of the Great Rift Valley has its main flowering either in February–March or in October–November. These flowerings are mainly initiated from approximately August to December and June to September, respectively. Changes from an early to a late flowering rhythm and vice versa can be caused by (a) pruning, (b) the condition of the tree, and (c) the weather pattern, but more information is needed for a complete understanding of this problem.


Nature ◽  
1924 ◽  
Vol 113 (2837) ◽  
pp. 388-388
Author(s):  
E. J. WAYLAND

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