Social equity shapes zone-selection: Balancing aquatic biodiversity conservation and ecosystem services delivery in the transboundary Danube River Basin

被引:27
作者
Domisch, Sami [1 ]
Kakouei, Karan [1 ]
Martinez-Lopez, Javier [2 ]
Bagstad, Kenneth J. [3 ]
Magrach, Ainhoa [2 ]
Balbi, Stefano [2 ]
Villa, Ferdinando [2 ]
Funk, Andrea [4 ]
Hein, Thomas [4 ,5 ]
Borgwardt, Florian [4 ]
Hermoso, Virgilio [6 ]
Jaehnig, Sonja C. [1 ]
Langhans, Simone D. [1 ,2 ,7 ]
机构
[1] Leibniz Inst Freshwater Ecol & Inland Fisheries, Muggelseedamm 310, D-12587 Berlin, Germany
[2] BC3 Basque Ctr Climate Change, Leioa 48940, Spain
[3] US Geol Survey, Geosci & Environm Change Sci Ctr, POB 25046,MS 980, Denver, CO 80225 USA
[4] Univ Nat Resources & Life Sci, Inst Hydrobiol & Aquat Ecosyst Management, Gregor Mendel Str 33, A-1180 Vienna, Austria
[5] WasserCluster Lunz, WG Biger, Lunz, Austria
[6] Ctr Ciencia & Tecnol Forestal Catalunya, Km 2, Solsona 25280, Lleida, Spain
[7] Univ Otago, Dept Zool, 340 Great King St, Dunedin 9016, New Zealand
基金
欧盟地平线“2020”;
关键词
Ecosystem-based management; Species distribution model; Ecosystem services; ARIES; Marxan with Zones; Model coupling; SPECIES DISTRIBUTION MODELS; FRESH-WATER BIODIVERSITY; CHALLENGES; MANAGEMENT; WORLDS; ACCURACY; NETWORK; SUPPORT; THREATS;
D O I
10.1016/j.scitotenv.2018.11.348
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Freshwater biodiversity is declining, despite national and international efforts to manage and protect freshwater ecosystems. Ecosystem-based management (EBM) has been proposed as an approach that could more efficiently and adaptively balance ecological and societal needs. However, this raises the question of how social and ecological objectives can be included in an integrated management plan. Here, we present a generic model-coupling framework tailored to address this question for freshwater ecosystems, using three components: biodiversity, ecosystem services (ESS), and a spatial prioritisation that aims to balance the spatial representation of biodiversity and ESS supply and demand. We illustrate this model-coupling approach within the Danube River Basin using the spatially explicit, potential distribution of (i) 85 fish species as a surrogate for biodiversity as modelled using hierarchical Bayesian models, and (ii) four estimated ESS layers produced by the Artificial Intelligence for Ecosystem Services (ARIES) platform (with ESS supply defined as carbon storage and flood regulation, and demand specified as recreation and water use). These are then used for (iii) a joint spatial prioritisation of biodiversity and ESS employing Marxan with Zones, laying out the spatial representation of multiple management zones. Given the transboundary setting of the Danube River Basin, we also run comparative analyses including the country-level purchasing power parity (PPP)-adjusted gross domestic product (GDP) and each country's percent cover of the total basin area as potential cost factors, illustrating a scheme for balancing the share of establishing specific zones among countries. We demonstrate how emphasizing various biodiversity or ESS targets in an EBM model-coupling framework can be used to cost-effectively test various spatially explicit management options across a multi-national case study. We further discuss possible limitations, future developments, and requirements for effectively managing a balance between biodiversity and ESS supply and demand in freshwater ecosystems. (c) 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license
引用
收藏
页码:797 / 807
页数:11
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