Estimating soil loss for sustainable land management planning at the Gelana sub-watershed, northern highlands of Ethiopia

2017 ◽  
Vol 16 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Birhan Asmame Miheretu ◽  
Assefa Abegaz Yimer
Keyword(s):  
Land Management ◽  
Soil Loss ◽  
Sustainable Land Management ◽  
Management Planning ◽  
Land Management Planning ◽  
Northern Highlands

scholarly journals Information from geophysics for land management planning, Broomehill, Western Australia

2006 ◽  
Vol 2006 (1) ◽  
pp. 1-7
Author(s):  
Gregory J. Street ◽  
Abbott Simon ◽  
Ladyman Marty ◽  
Anderson-Mayes Ann-Marie
Keyword(s):  
Land Management ◽  
Western Australia ◽  
Management Planning ◽  
Land Management Planning

scholarly journals Effects of land use and sustainable land management practices on runoff and soil loss in the Upper Blue Nile basin, Ethiopia

2019 ◽  
Vol 648 ◽  
pp. 1462-1475 ◽  
Author(s):  
Kindiye Ebabu ◽  
Atsushi Tsunekawa ◽  
Nigussie Haregeweyn ◽  
Enyew Adgo ◽  
Derege Tsegaye Meshesha ◽  
...  
Keyword(s):  
Land Use ◽  
Land Management ◽  
Soil Loss ◽  
Management Practices ◽  
Sustainable Land Management ◽  
Nile Basin ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Runoff And Soil Loss ◽  
Effects Of Land Use

Great Basin Land Management Planning Using Ecological Modeling

2006 ◽  
Vol 38 (1) ◽  
pp. 62-83 ◽  
Author(s):  
Tara A. Forbis ◽  
Louis Provencher ◽  
Leonardo Frid ◽  
Gary Medlyn
Keyword(s):  
Great Basin ◽  
Land Management ◽  
Ecological Modeling ◽  
Management Planning ◽  
Land Management Planning

A soft optimization approach to forest land management planning

1988 ◽  
Vol 18 (5) ◽  
pp. 545-552 ◽  
Author(s):  
B. Bruce Bare ◽  
Guillermo A. Mendoza
Keyword(s):  
Land Management ◽  
De Novo ◽  
Optimization Techniques ◽  
Multiple Objective Linear Programming ◽  
Optimization Approach ◽  
Forest Land ◽  
Management Planning ◽  
Decision Environment ◽  
Land Management Planning ◽  
Planning Problems

Forest land management planning provides a rich environment for the use of optimization techniques that incorporate multiple criteria and operate within a soft optimization decision environment. Using de novo programming, several approaches for examining planning problems are described where the objective is not simply to optimize a given system, but to design an optimal system. Both single and multiple objective linear programming models are used to illustrate this new approach and several illustrative examples are discussed.

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