Fire management: A component of land management planning

1979 ◽  
Vol 3 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Louis T. Egging ◽  
Richard J. Barney
2020 ◽  
Vol 29 (5) ◽  
pp. 371 ◽  
Author(s):  
Jennifer Ansell ◽  
Jay Evans ◽  
Adjumarllarl Rangers ◽  
Arafura Swamp Rangers ◽  
Djelk Rangers ◽  
...  

The growth of the carbon industry in Australia over the last decade has seen an increase in the number of eligible offsets projects utilising the savanna burning methods in northern Australia. Many of these projects are operated by Aboriginal people on Aboriginal lands utilising local Aboriginal knowledge and customary burning practice. The present paper reviews existing land management planning documents to describe the aspirations of Traditional Owners in relation to fire management at a regional scale in Arnhem Land. Available data collected in the course of savanna burning operations are then utilised to examine the extent to which the savanna burning projects are meeting these goals. There were six clear goals in relation to fire management within the planning documents across Arnhem Land. Traditional Owners want to: (1) continue the healthy fire management of their country; (2) see fewer wildfires; (3) protect biodiversity; (4) protect culturally important sites; (5) maintain and transfer knowledge; and (6) create a carbon abatement. The results from this paper suggest that although the savanna burning projects are annually variable, these goals are being met. Importantly, the present paper clearly communicates a description of contemporary fire management from the perspective of Traditional Owners at a broad regional scale.


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

2006 ◽  
Vol 38 (1) ◽  
pp. 62-83 ◽  
Author(s):  
Tara A. Forbis ◽  
Louis Provencher ◽  
Leonardo Frid ◽  
Gary Medlyn

1988 ◽  
Vol 18 (5) ◽  
pp. 545-552 ◽  
Author(s):  
B. Bruce Bare ◽  
Guillermo A. Mendoza

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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