MS_218 — Risk assessment and decision support systems for interdependent lifeline infrastructures (1)

2011 ◽  
pp. 635-646 ◽  
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems

Challenges and opportunities in developing decision support systems for risk assessment and management of forest invasive alien species

2020 ◽  
Vol 28 (3) ◽  
pp. 218-245 ◽  
Author(s):  
Valentine Lafond ◽  
Federico Lingua ◽  
Stefanie Lumnitz ◽  
Gregory Paradis ◽  
Vivek Srivastava ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Invasive Species ◽  
Decision Support ◽  
Decision Support Systems ◽  
Alien Species ◽  
Invasive Alien Species ◽  
Support Systems ◽  
Challenges And Opportunities ◽  
Risk Assessment And Management

Biological invasions represent an increasing threat to ecosystems worldwide, with negative ecological and socio-economic impacts, whereas risk assessment and management remain challenging. The development of decision support systems (DSS) has the potential to help decision-makers and managers mitigate invasive species, but few DSS exist for forest invasive alien species (FIAS). The use of DSS in forestry is not new but they represent an asset in decision making in times of increasing complexity of issues foresters face and factors to consider. Yet, few forest DSS address the problem of FIAS. In this review, we identify key elements of the FIAS risk-assessment and management decision-making process, discuss these elements with a model-based DSS development perspective, and summarize outstanding challenges and opportunities for FIAS DSS development. FIAS DSS should not only estimate the probability of FIAS invasion but also consider forest vulnerability and quantify exposure (i.e., value at risk), while allowing different threat scenarios and possible solutions to be compared. Such a complete risk assessment and management calls for integrative modelling approaches that explicitly link different components of FIAS invasion, management, and impact assessment into a DSS. Such integrative modelling is challenging and may require collaboration among experts of different domains. International collaboration is also needed to facilitate data exchange, as the lack of data is one of the main challenges. In many cases, data and ecological knowledge of invasive species are too limited (in quantity or quality) to constitute useful input to DSS or their components (e.g., species distribution model). Another challenge is to better consider the multiple sources of uncertainties inherent to modelling invasions (e.g., host preferences and behavior, forest vulnerability, potential impacts, and cost and benefits of mitigation actions) when assessing FIAS risk and communicating results from risk assessment. Communication with stakeholders and DSS end-users, in fact, appears as one of the keys to successful DSS development and appropriation, not only to ensure that they correspond to end-users’ needs but also to ensure ease of use, functionality, and good visualization of DSS outputs.

scholarly journals The potential of decision support systems to improve risk assessment for pollen beetle management in winter oilseed rape

2015 ◽  
Vol 72 (3) ◽  
pp. 609-617 ◽  
Author(s):  
Andrew W Ferguson ◽  
Matthew P Skellern ◽  
Andreas Johnen ◽  
Julia-Sophie von Richthofen ◽  
Nigel P Watts ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support Systems ◽  
Oilseed Rape ◽  
Support Systems ◽  
Winter Oilseed Rape ◽  
Pollen Beetle

scholarly journals The Human Dimensions of Spatial, Pre-Wildfire Planning Decision Support Systems: A Review of Barriers, Facilitators, and Recommendations

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 483
Author(s):  
Melanie Colavito
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
The United States ◽  
Human Dimensions ◽  
Wildfire Risk ◽  
Forest Fuels ◽  
Fuels Treatment ◽  
Wildfire Planning

Decision support systems (DSSs) are increasingly common in forest and wildfire planning and management in the United States. Recent policy direction and frameworks call for collaborative assessment of wildfire risk to inform fuels treatment prioritization using the best available science. There are numerous DSSs applicable to forest and wildfire planning, which can support timely and relevant information for decision making, but the use and adoption of these systems is inconsistent. There is a need to elucidate the use of DSSs, specifically those that support pre-wildfire, spatial planning, such as wildfire risk assessment and forest fuels treatment prioritization. It is important to understand what DSSs are in use, barriers and facilitators to their use, and recommendations for improving their use. Semi-structured interviews with key informants were used to assess these questions. Respondents identified numerous barriers, as well as recommendations for improving DSS development and integration, specifically with respect to capacity, communication, implementation, question identification, testing, education and training, and policy, guidance, and authorities. These recommendations can inform DSS use for wildfire risk assessment and treatment prioritization to meet the goals of national policies and frameworks. Lastly, a framework for organizing spatial, pre-wildfire planning DSSs to support end-user understanding and use is provided.

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