ReviewSea-level rise impact models and environmental conservation: A review of models and their applications
Introduction
Sea-level rise has been identified as a major threat to coastal habitats and communities worldwide [1]. Sea-level rise projections based on the use of General Circulation Models (GCMs) for the end of the 21st century (relative to 1980–1999) range from 0.18 to 0.59 m, although this is not an upper bound as the Greenland and West Antarctic ice sheet contributions are uncertain [2]. The IPCC has recognized that sea-level rise by 2100 may be 0.10–0.20 m higher than predicted based on uncertainties of ice sheet melt and glacier dynamics. Scientists suggest that a 1–5 m rise in sea level by 2100 is more realistic when taking into account thermal expansion of ocean water, melting of ocean glaciers, ice sheet disintegration, and an acceleration of sea-level rise in the 20th century [3], [4], [5], [6], [7], [8], [9].
Sea-level rise has both biophysical and socioeconomic impacts, threatening coastal landscapes, their ecosystem services, and coastal populations [10], [11]. The primary biophysical impacts of sea-level rise include inundation and displacement of wetlands and low-lying lands [12], increased coastal erosion [13], [14], increased coastal flooding [12], [15], and saltwater intrusion into estuaries, deltas, and aquifers [16], [17]. Ecosystems may adapt naturally to sea-level rise in coastal areas with limited human influence because habitats may have room to migrate landward or accrete vertically in response to rising seas; however, densely populated coastal areas are characterized by infrastructure that is less mobile and more vulnerable. Socioeconomic impacts of sea-level rise may include: direct loss of economic, ecological, cultural, and subsistence values through loss of land, infrastructure, and coastal habitats; increased flood risk of people, land, and infrastructure; and other impacts related to changes in water quality, salinity, and biological activity [17], [18].
Development planning, land-use, and conservation agencies need reliable scientific tools to conduct vulnerability assessments that identify which coastal areas are threatened by sea-level rise. Coastal impact models provide a useful mechanism for predicting environmental responses to changes in sea level and the impacts of alternative management policies on future ecosystem behavior [19], [20]. Such tools enable planners and practitioners to proactively plan for sea-level rise, take immediate actions to ensure the security of coastal communities, and work towards the persistence of ecosystem services by reserving lands less vulnerable to sea-level rise for coastal communities and critical coastal habitats.
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Challenges faced when conducting coastal vulnerability assessments
Coastal managers, development planners, and government officials face a number of challenges when conducting coastal vulnerability assessments. One particular challenge is associated with the uncertainties regarding global projections of sea-level rise as well as the contribution of local factors such as subsidence and fluid extraction. Relevant datasets, such as elevation (see Appendix A for sources and resolutions of elevation data), habitat distribution and condition, species distributions,
Key objectives influencing coastal impact model selection
Conservation managers, government officials, and development planners may be interested in modeling the vulnerability of coastal habitats and communities to sea-level rise for a variety of reasons. Table 1 highlights key objectives that assess the impacts of sea-level rise and suggests which type of coastal impact models may be most appropriate for addressing those objectives.
Overview of models
To help determine which model is most appropriate for a given objective, the following section provides a description of the models included in Table 1 and includes the appropriate use, scale, cost, and technical expertise needed to run the models.
Discussion and conclusions
Ideally, conservation managers and policy makers would be able to access a coastal impact model that would take into account trade-offs between scale and complexity, require little to no cost and expertise to run, and would be scientifically sound, taking all relevant biophysical and socioeconomic processes into account to accurately predict sea-level rise impacts. The reality is that conservation and development projects are limited often by financial and human resources and short timelines.
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