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Ciro C. Vilar Rafael A. Magris Rafael Loyola Jean‐Christophe Joyeux 《水产资源保护:海洋与淡水生态系统》2020,30(3):497-513
- Most of the world's nations adopted the 20 Aichi global biodiversity targets to be met by 2020, including the protection of at least 10% of their coastal and marine areas (Target 11) and the avoidance of extinction of threatened species (Target 12). However, reconciling these biodiversity targets with socio‐economic demands remains a great dilemma for implementing conservation policies.
- In this paper, Aichi Targets 11 and 12 were simultaneously addressed using Brazil's exclusive economic zone as an example. Priority areas for expanding the current system of marine protected areas within the country's eight marine ecoregions were identified with data on threatened vertebrates under different scenarios. Additionally, the potential effects of major socio‐economic activities (small? and large‐scale fishing, seabed mining, and oil and gas exploration) on the representation of conservation features in proposed marine protected areas were explored.
- Areas selected for expanding marine protected areas solely based on biodiversity data were different (spatial overlap from 62% to 93%) from areas prioritized when socio‐economic features were incorporated into the analysis. The addition of socio‐economic data in the prioritization process substantially decreased opportunity costs and potential conservation conflicts, at the cost of reducing significantly (up to 31%) the coverage of conservation features. Large? and small‐scale fisheries act in most of the exclusive economic zone and are the major constraints for protecting high‐priority areas.
- Nevertheless, there is some spatial mismatch between areas of special relevance for conservation and socio‐economic activities, suggesting an opportunity for reconciling the achievement of biodiversity targets and development goals within the intricate Brazilian seascape by 2020 and beyond.
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Graham J. Edgar Penny F. Langhammer Gerry Allen Thomas M. Brooks Juliet Brodie William Crosse Naamal De Silva Lincoln D. C. Fishpool Matthew N. Foster David H. Knox John E. Mccosker Roger Mcmanus Alan J. K. Millar Robinson Mugo 《水产资源保护:海洋与淡水生态系统》2008,18(6):969-983
- 1. Recent approaches to the planning of marine protected area (MPA) networks for biodiversity conservation often stress the need for a representative coverage of habitat types while aiming to minimize impacts on resource users. As typified by planning for the Australian South‐east Marine Region, this strategy can be manipulated by political processes, with consequent biased siting of MPAs. Networks thus created frequently possess relatively low value for biodiversity conservation, despite significant costs in establishment and maintenance.
- 2. Such biases can be minimized through application of the data‐driven and species‐based concept of key biodiversity areas (KBAs).
- 3. By mapping locations of threatened species and populations that are highly aggregated in time or space, the KBA process allows marine sites of global biodiversity significance to be systematically identified as priority conservation targets. Here, the value of KBAs for marine conservation planning is outlined, and guidelines and provisional criteria for their application provided.
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- Marine protected area (MPA) planning often relies on scientific principles that help ensure that an area selected for conservation will effectively protect biodiversity. Capturing ecological processes in MPA network planning has received increased attention in recent years. High‐resolution seafloor maps, which show patterns in seafloor bio‐physical characteristics, can support our understanding of ecological processes.
- In part, owing to a global lack of high‐resolution seafloor maps, studies that aim to integrate seascape spatial pattern and conservation prioritization often focus on shallow biogenic habitats with less attention paid to deeper benthic seascapes (benthoscapes) mapped using acoustic techniques. Acoustic seafloor mapping strategies yield the spatial information required to extend conservation prioritization research into these environments, making incorporating seafloor ecological processes into conservation prioritization increasingly achievable.
- Here, a new method is proposed and tested that combines benthoscape mapping, landscape ecology metrics and a conservation decision support tool to prioritize areas with structural and potential connectivity value in MPA placement. Using a case study in eastern Canada, benthoscape composition and configuration were quantified using spatial pattern metrics and integrated into Marxan.
- Results illustrate how large patches of seafloor habitat in close proximity to neighbouring patches can be preferentially selected when benthoscape configuration is considered. The flexibility of the method for including relevant spatial pattern metrics or species‐specific movement data is discussed to illustrate how benthic habitat maps can improve existing conservation planning methods and complement existing and future work to support marine biodiversity conservation.
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Jeanne L. Nel Dirk J. Roux Robin Abell Peter J. Ashton Richard M. Cowling Jonathan V. Higgins Michele Thieme Joshua H. Viers 《水产资源保护:海洋与淡水生态系统》2009,19(4):474-485
- 1. Freshwater ecosystems and their associated biota are among the most endangered in the world. This, combined with escalating human pressure on water resources, demands that urgent measures be taken to conserve freshwater ecosystems and the services they provide. Systematic conservation planning provides a strategic and scientifically defensible framework for doing this.
- 2. Pioneered in the terrestrial realm, there has been some scepticism associated with the applicability of systematic approaches to freshwater conservation planning. Recent studies, however, indicate that it is possible to apply overarching systematic conservation planning goals to the freshwater realm although the specific methods for achieving these will differ, particularly in relation to the strong connectivity inherent to most freshwater systems.
- 3. Progress has been made in establishing surrogates that depict freshwater biodiversity and ecological integrity, developing complementarity‐based algorithms that incorporate directional connectivity, and designing freshwater conservation area networks that take cognizance of both connectivity and implementation practicalities.
- 4. Key research priorities include increased impetus on planning for non‐riverine freshwater systems; evaluating the effectiveness of freshwater biodiversity surrogates; establishing scientifically defensible conservation targets; developing complementarity‐based algorithms that simultaneously consider connectivity issues for both lentic and lotic water bodies; developing integrated conservation plans across freshwater, terrestrial and marine realms; incorporating uncertainty and dynamic threats into freshwater conservation planning; collection and collation of scale‐appropriate primary data; and building an evidence‐base to support improved implementation of freshwater conservation plans.
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Pter Sly Anna Dolezsai Balzs Andrs Lukcs Gbor Vrbír Tibor Er&#x;s 《水产资源保护:海洋与淡水生态系统》2020,30(2):246-259
- Priority‐area selection is a core phase of systematic conservation planning, often carried out using a single (surrogate) taxon. Efficient surrogates are expected to yield taxonomically representative priority areas that embrace the populations not only of the surrogate but also the surrogated taxa. Compared with the terrestrial realm, surrogacy performance of riverine taxa has received much less attention.
- This study compared the surrogacy performance of fishes (FI), macrophytes (MP), and benthic macroinvertebrates (MI) in terms of total area, connectedness, spatial congruence, and taxonomic representativeness of priority areas in the Middle Danube basin (Hungary). Setting three target values for each surrogate group, nine area prioritization designs were run by using a purpose‐written connectivity‐centric algorithm to emphasize the importance of longitudinal connectivity.
- FI provided the smallest, MP the intermediate, and MI the largest priority areas or solutions. Connectedness was greatest for FI, being one order of magnitude higher than for the other two groups. Pairwise spatial congruence was highest between FI and MP, lowest between MP and MI, and intermediate for FI and MI. MI yielded the most representative solutions, although the number of occurrences of the surrogated taxa in the solution, as a criterion of representation, modified the ratio of the taxa represented. Areas compiled from the overlapping parts of the surrogate‐specific priority sets proved to be smaller than, and similarly representative of, single‐taxon solutions.
- Taxon‐rich groups such as MI can serve as efficient surrogates, but that can result in larger solutions than for less taxon‐rich surrogates. Apart from the size, the compactness of the solutions seems to be determined by the identity of the surrogate taxa, and FI can be alternative surrogates in connectivity‐centric prioritization. At the same time, multi‐group approaches can enhance the robustness of area prioritization in terms of representativeness compared with single‐taxon procedures.
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David E. Johnson Sin E. Rees Daniela Diz Peter J.S. Jones Callum Roberts Christopher Barrio Frojn 《水产资源保护:海洋与淡水生态系统》2019,29(Z2):181-194
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Vasiliki Markantonatou Sylvaine Giakoumi Nikoletta Koukourouvli Irida Maina Genoveva Gonzalez-Mirelis Maria Sini Kostas Maistrelis Mavra Stithou Eleni Gadolou Dimitra Petza Stefanos Kavadas Vasiliki Vassilopoulou Lene Buhl-Mortensen Stelios Katsanevakis 《水产资源保护:海洋与淡水生态系统》2021,31(8):2278-2292
- The expansion and intensification of marine uses have severe cumulative impacts on marine ecosystems and human well-being, unless they are properly managed with an ecosystem-based management approach.
- A systematic conservation planning approach, using marxan with zones , was applied to generate alternative marine spatial plans for the Aegean Sea. Relevant human uses were included and their cumulative impact on a wide set of key biodiversity features was considered in the analysis. Different cost scenarios were developed to gain insight on the effects of the approaches used to assess socio-economic factors, and their potential impact on spatial plans.
- The spatial plans generated differed greatly depending on the method used to estimate opportunity costs and evaluate human activities in monetary terms.
- The vulnerability weights (the relative vulnerability of ecological features to specific human activities and their impacts) that were estimated based on a cumulative impact assessment, allowed the assessment of each zone in contributing to the achievement of conservation targets, through a transparent planning approach.
- Results indicate that special care should be given to how socio-economic activities, their impact on the ecosystems, and related costs are incorporated into planning.
- The proposed approach demonstrates how EU member states may effectively comply with the new Biodiversity Strategy 2030 targets, while planning for the sustainable use of their marine resources.