DOI: 10.1111/gcb.12064
论文题名: Does more mean less? The value of information for conservation planning under sea level rise
作者: Runting R.K. ; Wilson K.A. ; Rhodes J.R.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2013
卷: 19, 期: 2 起始页码: 352
结束页码: 363
语种: 英语
英文关键词: Climate change adaptation
; Coastal impact models
; Conservation planning
; LiDAR
; Sea Level Affecting Marshes Model
; Sea level rise
; Spatial prioritization
; Zonation
Scopus关键词: sea water
; adaptive management
; biodiversity
; climate change
; coastal zone
; conservation planning
; decision making
; lidar
; prioritization
; sea level change
; zonation
; article
; biodiversity
; cost benefit analysis
; environmental protection
; organization and management
; Biodiversity
; Conservation of Natural Resources
; Cost-Benefit Analysis
; Planning Techniques
; Seawater
; Australia
; Queensland
英文摘要: Many studies have explored the benefits of adopting more sophisticated modelling techniques or spatial data in terms of our ability to accurately predict ecosystem responses to global change. However, we currently know little about whether the improved predictions will actually lead to better conservation outcomes once the costs of gaining improved models or data are accounted for. This severely limits our ability to make strategic decisions for adaptation to global pressures, particularly in landscapes subject to dynamic change such as the coastal zone. In such landscapes, the global phenomenon of sea level rise is a critical consideration for preserving biodiversity. Here, we address this issue in the context of making decisions about where to locate a reserve system to preserve coastal biodiversity with a limited budget. Specifically, we determined the cost-effectiveness of investing in high-resolution elevation data and process-based models for predicting wetland shifts in a coastal region of South East Queensland, Australia. We evaluated the resulting priority areas for reserve selection to quantify the cost-effectiveness of investment in better quantifying biological and physical processes. We show that, in this case, it is considerably more cost effective to use a process-based model and high-resolution elevation data, even if this requires a substantial proportion of the project budget to be expended (up to 99% in one instance). The less accurate model and data set failed to identify areas of high conservation value, reducing the cost-effectiveness of the resultant conservation plan. This suggests that when developing conservation plans in areas where sea level rise threatens biodiversity, investing in high-resolution elevation data and process-based models to predict shifts in coastal ecosystems may be highly cost effective. A future research priority is to determine how this cost-effectiveness varies among different regions across the globe. © 2012 Blackwell Publishing Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62527
Appears in Collections: 影响、适应和脆弱性
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作者单位: ARC Centre of Excellence for Environmental Decisions, The University of Queensland, Brisbane, QLD 4072, Australia; The University of Queensland, School of Geography, Planning and Environmental Management, Brisbane, QLD 4072, Australia; The University of Queensland, School of Biological Sciences, Brisbane, QLD 4072, Australia
Recommended Citation:
Runting R.K.,Wilson K.A.,Rhodes J.R.. Does more mean less? The value of information for conservation planning under sea level rise[J]. Global Change Biology,2013-01-01,19(2)