Economic valuation of ecosystem services, a case study for aquatic vegetation removal in the Nete catchment (Belgium)

被引:39
作者
Boerema, Annelies [1 ]
Schoelynck, Jonas [1 ]
Bal, Kris [1 ,2 ]
Vrebos, Dirk [1 ]
Jacobs, Sander [1 ]
Staes, Jan [1 ]
Meire, Patrick [1 ]
机构
[1] Univ Antwerp, Dept Biol, Ecosyst Management Res Grp, Univ Pl 1C, B-2610 Antwerp, Belgium
[2] Univ Limpopo, Dept Biodivers, Sch Mol & Life Sci, ZA-0727 Sovenga, Limpopo, South Africa
关键词
Macrophytes; Full cost recovery (WED); Mowing; Lowland rivers; Stakeholders; Societal cost benefit analysis; WILLINGNESS-TO-PAY; COMMUNITY STRUCTURE; LOWLAND; MACROPHYTES; DIVERSITY; STREAMS; INVERTEBRATES; MANAGEMENT; RICHNESS;
D O I
10.1016/j.ecoser.2013.08.001
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In the last decades, lowland rivers were forced to drain larger water quantities during ever shorter time periods. This is mainly caused by current and historic land-use changes (e.g. increase of built area) and increased intensification of agriculture practices (e.g. drainage). River flow, however, is hampered by human artefacts such as weirs and dams as well as by naturally occurring aquatic vegetation. To avoid flooding and water related problems, river managers opt to remove aquatic vegetation. According to the European Water Framework Directive (2000/60/EC), all costs of water management should be charged for (full cost recovery requirement). This study aims to assess whether or not this is achieved in case of aquatic vegetation removal. This method is illustrated through a case study of the Nete Catchment, Belgium. Results show that flood control benefits exceed costs by only a small amount in wet years, but costs exceed benefits in dry years. If decision makers account for even a few ecosystem services, the costs of vegetation removal exceed the benefits in both scenarios. Only local stakeholders in flood risk areas can benefit from aquatic vegetation removal during wet summer seasons. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:46 / 56
页数:11
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