Indicators for sustainable land management based on farmer surveys in Vietnam, Indonesia, and Thailand

2000 ◽  
Vol 81 (2) ◽  
pp. 137-146 ◽  
Author(s):  
Rod D.B. Lefroy ◽  
Hans-Dieter Bechstedt ◽  
Mohammad Rais
Keyword(s):  
Land Management ◽  
Sustainable Land Management ◽  
Farmer Surveys

Indicators of land quality and sustainable land management

1998 ◽  
Author(s):  
Julian Dumanski ◽  
Samuel Gameda ◽  
Christian Pieri ◽  
Keyword(s):  
Land Management ◽  
Sustainable Land Management ◽  
Land Quality

scholarly journals Relationships and the Determinants of Sustainable Land Management Technologies in North Gojjam Sub-Basin, Upper Blue Nile, Ethiopia

2021 ◽  
Vol 13 (11) ◽  
pp. 6365
Author(s):  
Alelgn Ewunetu ◽  
Belay Simane ◽  
Ermias Teferi ◽  
Benjamin F. F. Zaitchik
Keyword(s):  
Land Management ◽  
Scale Up ◽  
Policy Issue ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Sustainable Land Management ◽  
Related Factors ◽  
Blue Nile ◽  
The North

Sustainable land management (SLM) is a leading policy issue in Ethiopia. However, the adoption and continuous use of SLM technologies remain low. This study investigates the interrelationship of adopted SLM technologies and key factors of farmers’ decisions to use SLM technologies in the North Gojjam sub-basin of the Upper Blue Nile. The study was based on the investigation of cross-sectional data obtained from 414 randomly selected rural household heads, focus group discussions, and key informant interviews. Descriptive statistics and Econometric models (i.e., Multivariate Probit and Poisson regression) were used to analyze quantitative data, while a content analysis method was used for qualitative data analysis. Results indicate that at least one type of SLM technology was implemented by 94% of farm households in the North Gojjam sub-basin. The most widely used technologies were chemical fertilizer, soil bund, and animal manure. Most of the adopted SLM technologies complement each other. Farm size, family size, male-headed household, local institutions, perception of soil erosion, livestock size, total income, and extension service increased the adoption probability of most SLM technologies. Plot fragmentation, household age, plot distance, off-farm income, market distance, and perception of good fertile soil discourage the adoption probability of most SLM technologies. To scale up SLM technologies against land degradation, it is important to consider households’ demographic characteristics, the capacity of farm households, and plot-level related factors relevant to the specific SLM technologies being promoted.

A structured multi-stakeholder learning process for Sustainable Land Management

2012 ◽  
Vol 107 ◽  
pp. 52-63 ◽  
Author(s):  
Gudrun Schwilch ◽  
Felicitas Bachmann ◽  
Sandra Valente ◽  
Celeste Coelho ◽  
Jorge Moreira ◽  
...  
Keyword(s):  
Land Management ◽  
Learning Process ◽  
Sustainable Land Management ◽  
Multi Stakeholder ◽  
Stakeholder Learning
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