Comparison of methods for a landscape-scale assessment of the cultural ecosystem services associated with different habitats

Comparison of methods for a landscape-scale assessment of the cultural ecosystem services associated with different habitats
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与不同栖息地相关的文化生态系统服务的景观尺度评估方法比较

DOI:
10.1080/21513732.2018.1447016
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发表时间:
2018
期刊:
International Journal of Biodiversity Science, Ecosystem Services & Management
影响因子:
--
通讯作者:
Gosal A
Gosal A
中科院分区:
--
文献类型:
--
作者:
Gosal A

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文化生态系统服务(CES)被广泛认为是重要的,但往往被忽视的生态系统服务评估,导致代表性的偏见。这反映了与产生稳健和可重复的CES估值相关的方法学挑战。在这里,我们提供了一个比较分析的三种方法,即结构化调查,参与式地理信息系统(PGIS)和GPS跟踪方法的非货币估值的CES。这些被用来评估英国新森林国家公园内栖息地的娱乐和美学价值。CES与栖息地的关联使所有三种方法的结果在景观尺度上使用地图可视化,加强了它们对保护管理的价值。阔叶林和石楠栖息地一贯重视两个CES,而农业用地往往与低价值。10次比较中有6次采用不同方法获得的结果呈正相关,表明它们之间存在一定程度的一致性。CES值在景观尺度上的空间分布也大致一致的三种方法。这些结果突出了比较分析的价值,即通过比较分析确定了可靠的结果,为将这些结果纳入土地管理决策提供了一条前进的道路。
Cultural ecosystem services (CES) are widely acknowledged as important but are often neglected by ecosystem service assessments, leading to a representational bias. This reflects the methodological challenges associated with producing robust and repeatable CES valuations. Here we provide a comparative analysis of three approaches for non-monetary valuation of CES, namely a structured survey, participatory GIS (PGIS) and GPS tracking methods. These were used to assess both recreation and aesthetic value of habitats within the New Forest National Park, UK. The association of CES with habitats enabled results of all three methods to be visualised at the landscape scale using maps, strengthening their value to conservation management. Broadleaved woodland and heathland habitats were consistently valued highly for both CES, whereas agricultural land tended to be associated with low values. Results obtained by the different methods were positively correlated in 6 out of 10 comparisons, indicating a degree of consistency between them. The spatial distribution of CES values at the landscape scale was also generally consistent between the three methods. These results highlight the value of comparative analyses of CES for identifying robust results, providing a way forward for their inclusion in land management decision-making.EDITED BYMatthias Schröter
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