Integrating scientific modeling and supporting dynamic hazard management with a GeoAgent-based representation of human–environment interactions: A drought example in Central Pennsylvania, USA

Yu, Chunyan; MacEachren, Alan M.; Peuquet, Donna J.; Yarnal, Brent

doi:10.1016/j.envsoft.2009.03.010

Cited by 10 publications

(6 citation statements)

References 55 publications

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“…A number of modelling approaches now integrate human behaviour with biogeochemical processes, for example linking human decision making to hydrological processes [217][218][219][220] and soil nutrient flow [70,[221][222][223]. There have also been studies on interactions between human decision making and ecology (habitat/land cover), for example in timber harvesting [224], and the impact of human activities on habitat metrics [225,226].…”

Section: Process-based Modelsmentioning

confidence: 99%

Emerging Opportunities for Landscape Ecological Modelling

Synes

Brown

Watts

et al. 2016

Curr Landscape Ecol Rep

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Landscape ecological modelling provides a vital means for understanding the interactions between geographical, climatic, and socio-economic drivers of land-use and the dynamics of ecological systems. This growing field is playing an increasing role in informing landscape spatial planning and management. Here, we review the key modelling approaches that are used in landscape modelling and in ecological modelling. We identify an emerging theme of increasingly detailed representation of process in both landscape and ecological modelling, with complementary suites of modelling approaches ranging from correlative, through aggregated process based approaches to models with much greater structural realism that often represent behaviours at the level of agents or individuals. We provide examples of the considerable progress that has been made at the intersection of landscape modelling and ecological modelling, while also highlighting that the majority of this work has to date exploited a relatively small number of the possible combinations of model types from each discipline. We use this review to identify key gaps in existing landscape ecological modelling effort and highlight emerging opportunities, in particular for future work to progress in novel directions by combining classes of landscape models and ecological models that have rarely been used together.

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Section: Process-based Modelsmentioning

confidence: 99%

Emerging Opportunities for Landscape Ecological Modelling

Synes

Brown

Watts

et al. 2016

Curr Landscape Ecol Rep

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“…The journal Environmental Modelling and Software (EMS) in particular is an active platform for publicizing research involving ABMs for SES. The topics of environmental applications of ABMs are diverse: energy and climate change mitigation (Zhang et al, 2011;Gerst et al, 2013), farming (Bithell and Brasington, 2009;Schreinemachers and Berger, 2011), urban development (Brown et al, 2004;Haase et al, 2010;Filatova et al, 2011), water management (Feuillette et al, 2003;Smajgl et al, 2009;Yu et al, 2009;Moglia et al, 2010;van Oel et al, 2010;Murillo et al, 2011), ecosystem management (Batten, 2007;Moreno et al, 2007;Anselme et al, 2010;Brede and De Vries, 2010;Simon and Etienne, 2010), and tourism (Anwar et al, 2007). Individual-based modeling involving coupled SES (de Almeida et al, 2010;Perez and Dragicevic, 2010) as well as methodological issues related to ABMs (Polhill et al, 2006) also receive attention.…”

Section: Introductionmentioning

confidence: 99%

Spatial agent-based models for socio-ecological systems: Challenges and prospects

Filatova

Verburg

Parker

et al. 2013

Environmental Modelling & Software

414

265

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“…As a powerful spatial analysis tool, GIS has been widely used in many fields of EHM, such as risk analysis (Lahr and Kooistra, 2010;Lovett et al, 1997), mapping the spatial distributions of hazardous sites (Bolin et al, 2002), predicting harmful algal bloom (Shuhaibar and Riffat, 2008), oil spill analysis (Audu and Ehiorobo, 2009;Keramitsoglou et al, 2003), toxic chemical releases (Nadal et al, 2008;Nadal et al, 2006), and toxic metal transport (Gruiz et al, 2008). GIS can also become a basis of a decision support system or an emergency response system (Yu et al, 2009;Bacon et al, 2008;Ochola et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

GIS Development for Environmental Hazard Management Based on Gridding Management

Liao

Xu²,

Li³

et al. 2011

J ENV INFORM

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Due to the economic growth in China in recent years, the frequency of sudden environmental events has increased. As a result, Environmental Hazard Management (EHM) becomes important when mitigating such events. Geographic Information System (GIS) has been widely used for EHM both domestic and abroad, and while the studies usually focus on how to develop GIS, there has been little research on the linkage between GIS and EHM. In this paper, we propose GIS development for EHM based on Gridding Management (GM), i.e. the integration of EHM and GIS through GM. First, we will introduce the principles of GM for EHM, followed by the procedures of system development. Based on these principles, a prototype of GIS for EHM is developed for a highly urbanized district of Shanghai in which the management area is divided into appropriate grids. Each grid is supervised by a specific person, and all environmental hazard sources, sensitive objects, and other resources and information are coded geographically. After these steps, grid querying is implemented. Through a hypothetical scenario, the effectiveness of this methodology is tested and can help avoid some phenomena in traditional EHM, including separation of corporate and government EHM, neglecting surroundings information, overlaps or blind areas, no supervision or assessment, and no permanent mechanisms. We think this study is a useful probe into effective linkage between GIS and EHM.

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Integrating scientific modeling and supporting dynamic hazard management with a GeoAgent-based representation of human–environment interactions: A drought example in Central Pennsylvania, USA

Cited by 10 publications

References 55 publications

Emerging Opportunities for Landscape Ecological Modelling

Emerging Opportunities for Landscape Ecological Modelling

Spatial agent-based models for socio-ecological systems: Challenges and prospects

GIS Development for Environmental Hazard Management Based on Gridding Management

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