Terminal evaluation of the project “Decision support for mainstreaming and scaling up of sustainable land management”

2020 ◽  
Keyword(s):  
Decision Support ◽  
Land Management ◽  
Scaling Up ◽  
Sustainable Land Management ◽  
Project Decision

scholarly journals Climate Change Impact on Agriculture and Related Sustainable Land Management Practices in Bangladesh – A Review

2020 ◽  
pp. 53-69
Author(s):  
M. A. Hossain ◽  
M. N. Amin ◽  
J. Sultana ◽  
M. N. A. Siddique
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Land Management ◽  
Agricultural Production ◽  
Groundwater Depletion ◽  
Land Resource ◽  
Sustainable Land Management ◽  
Site Specific ◽  
Land Quality ◽  
Land User

Sustainable land management (SLM) is an effective climate adaptation technique in the present world. Bangladesh is listed in long-term Climate Risk Index 2019 due to its unicorn geographic features (e.g. low-lying riparian lands, big rivers, dense population and coastal settings). The livelihoods of Bangladesh are directly or indirectly linked to agricultural practices and or agribusiness. Many studies revealed that climate change-induced natural calamities (e.g. rainfall and temperature variability, sea level rise, flood, cyclone, drought, groundwater depletion, salt intrusion) unfavorably effect on agricultural production and livelihood activities and these are making critical food insecurity situation. Thus, identification and implementation of SLM practices to maintain food security of the bursting population are a prerequisite in Bangladesh. In this study, we have compiled the prospective SLM practices based on land management objective, land user requirements, crop and land suitability by reviewing peer-reviewed articles and grey literature. The potential SLM identified includes land resource conservation, erosion control, tillage technology, soil fertility management, vegetation management, efficient groundwater use, salinity-drought adaptations, land zoning and site-specific climate-smart agriculture. Among these SLM practices, the cultivation of suitable crop based on land quality and resource availability requires knowledge of decision support components involving the stakeholders for meaningful implementation of SLM. We proposed conceptual decision support components (e.g. land user, land quality, crop suitability, site-specific management, capital and governance) that would be the basis for the development and implementation of SLM towards land users and or farmers. The motivation of farmers through efficient extension activity and agri-governance for optimized land management can lead to minimizing the climate-induced vulnerability in agriculture. We concluded that the identified SLM practices, if implemented by adequate decision supports, SLM will help to achieve agricultural production as required by the sustainable Millennium Development Goals in Bangladesh.

Decision Support System for Sustainable Land Management

2006 ◽  
pp. 183-196
Author(s):  
Mohammad Rais ◽  
Samuel Gameda ◽  
Eric T. Craswell ◽  
Adisak Sajjapongse ◽  
Hans-Dieter Bechstedt
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Land Management ◽  
Support System ◽  
Sustainable Land Management

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 Assessment of alternative land management practices using hydrological simulation and a decision support tool: Arborea agricultural region, Sardinia

2007 ◽  
Vol 11 (6) ◽  
pp. 1811-1823 ◽  
Author(s):  
P. Cau ◽  
C. Paniconi
Keyword(s):  
Decision Support ◽  
Land Management ◽  
Quantitative Methods ◽  
Management Practices ◽  
Water Movement ◽  
Agricultural Practices ◽  
Treated Wastewater ◽  
Hydrological Simulation ◽  
Support Tool ◽  
The Impact

Abstract. Quantifying the impact of land use on water supply and quality is a primary focus of environmental management. In this work we apply a semidistributed hydrological model (SWAT) to predict the impact of different land management practices on water and agricultural chemical yield over a long period of time for a study site situated in the Arborea region of central Sardinia, Italy. The physical processes associated with water movement, crop growth, and nutrient cycling are directly modeled by SWAT. The model simulations are used to identify indicators that reflect critical processes related to the integrity and sustainability of the ecosystem. Specifically we focus on stream quality and quantity indicators associated with anthropogenic and natural sources of pollution. A multicriteria decision support system is then used to develop the analysis matrix where water quality and quantity indicators for the rivers, lagoons, and soil are combined with socio-economic variables. The DSS is used to assess four options involving alternative watersheds designated for intensive agriculture and dairy farming and the use or not of treated wastewater for irrigation. Our analysis suggests that of the four options, the most widely acceptable consists in the transfer of intensive agricultural practices to the larger watershed, which is less vulnerable, in tandem with wastewater reuse, which rates highly due to water scarcity in this region of the Mediterranean. More generally, the work demonstrates how both qualitative and quantitative methods and information can assist decision making in complex settings.

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