| Literature DB >> 26776151 |
Marina Dolbeth1,2, Per Stålnacke3, Fátima L Alves4, Lisa P Sousa4, Geoffrey D Gooch5,6, Valeriy Khokhlov7, Yurii Tuchkovenko8, Javier Lloret9,10, Małgorzata Bielecka11, Grzegorz Różyński12, João A Soares4, Susan Baggett6, Piotr Margonski13, Boris V Chubarenko14, Ana I Lillebø1.
Abstract
A decision support framework for the management of lagoon ecosystems was tested using four European Lagoons: Ria de Aveiro (Portugal), Mar Menor (Spain), Tyligulskyi Liman (Ukraine) and Vistula Lagoon (Poland/Russia). Our aim was to formulate integrated management recommendations for European lagoons. To achieve this we followed a DPSIR (Drivers-Pressures-State Change-Impacts-Responses) approach, with focus on integrating aspects of human wellbeing, welfare and ecosystem sustainability. The most important drivers in each lagoon were identified, based on information gathered from the lagoons' stakeholders, complemented by scientific knowledge on each lagoon as seen from a land-sea perspective. The DPSIR cycles for each driver were combined into a mosaic-DPSIR conceptual model to examine the interdependency between the multiple and interacting uses of the lagoon. This framework emphasizes the common links, but also the specificities of responses to drivers and the ecosystem services provided. The information collected was used to formulate recommendations for the sustainable management of lagoons within a Pan-European context. Several common management recommendations were proposed, but specificities were also identified. The study synthesizes the present conditions for the management of lagoons, thus analysing and examining the activities that might be developed in different scenarios, scenarios which facilitate ecosystem protection without compromising future generations.Entities:
Year: 2016 PMID: 26776151 PMCID: PMC4725967 DOI: 10.1038/srep19400
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1The geographic distribution of the LAGOONS case studies in the European continent and maps of each lagoon.
Maps were individually generated with ARC-Gis 9.2 software and compiled CorelDRAW 12 software.
Characteristics of the case-study lagoons.
| Ria de Aveiro | Mar Menor | Tyligulskyi Liman | Vistula Lagoon | |
|---|---|---|---|---|
| Countries | Portugal | Spain | Ukraine | Poland/Russia |
| Lagoon area (km2) | 83 | 135 | 129 | 838 |
| Catchment area (km2) | 3556 | 1380 | 5240 | 20 730 |
| Sea/Ocean | Atlantic Ocean | Mediterranean sea | Black Sea | Baltic Sea |
| Main tributaries | Vouga | Albujon | Tyligul | Pregola Pasleka Elblag |
| Total freshwater inflow (km3year−1) | 2.14 | 0.009 | 0.023 | 3.69 |
| Salinity range | 0–36 | 42–47 | 15–23 | 1–7 |
| Average temperature (°C) | 14 | 25 | 9.7 | 7.7 |
| Average precipitation and range (mm year−1) | 1100 (600–2100) | 337 (300–370) | 515 (470–570) | 750 (670–860) |
| Major land use | Agriculture (29%); Forest (56%) | Agriculture (82%); Forest (1%) | Agriculture (80%); Forest (4%) | Agriculture (67%); Forest (25%) |
Figure 2Conceptual scheme for the mosaic-DPSIR for an ecosystem (adapted from7), distinguishing between transversal drivers, as the ones whose DPSIR cycles feed on all other DPSIR cycles, and the non-transversal drivers, as the ones whose DPSIR might feed on the others.
Responses from all DPSIR cycles should be integrated taking into account the interactions among DPSIR cycles.
Figure 3Mosaic-DPSIR cycles for the LAGOONS case studies, showing the multiple interactions among DPSIR cycles (dotted arrows) and the influence of natural change on the state (black arrows), and that responses from each cycle should be combined into a common integrated responses
–(A) for each lagoon, with emphasis on the drivers with higher social-economical expression in the lagoon; (B) integrated for Pan European context, using information from the four lagoons and with emphasis on drivers appearing in all lagoons. For the integrated management recommendations please see Fig. 4.
Identified anthropogenic drivers in each lagoon case study.
| Ria de Aveiro | Mar Menor | Tyligulskyi Liman | Vistula Lagoon | |
|---|---|---|---|---|
| Population density and growth | ✓ | ✓ | ✓ | ✓ |
| Tourism and related activities | ✓ (e.g. sports and recreational activities, hunting, traditional festivals) | ✓ (e.g. intensive beach tourism, golf and recreational activities) | ✓ (e.g. sustainable tourism in the regional landscape parks) | ✓ (e.g. beach tourism*) |
| Harvesting activities | ✓ Agriculture (maize and wheat), Livestock (e.g. Marinhoa breed), Aquaculture (e.g. seabass, seabream, turbot, Pacific oyster, European clam) | ✓ Intensively irrigated agriculture (e.g. horticultural); Livestock (e.g. pig) | ✓ Agriculture (e.g. cereals, vegetables, cucurbitaceous viticulture); Livestock (e.g. poultry) | ✓ Agriculture (e.g. cereals, potato) |
| Natural resources demands | ✓ Fish (e.g. seabass, seabream, lamprey); Shellfish (e.g. cockles, oysters, shrimps, crabs); and Bait (e.g. “ | ✓ Fish (e.g. Sparidae & Mugilidae species, eel); and Shellfish (e.g. prawns) catches | ✓ Fish catches* (e.g. Gobiidae, Atherinidae species) | ✓ Fish catches (e.g. herring, pikeperch, eel) |
| Connection to sea infrastructure and maritime transport | ✓ Harbour, port facilities and maritime transport | ✓ Harbour, port facilities and maritime transport | ✓ Artificial channel | ✓ Harbour, Maritime transport |
| Industry and related activities (mining extraction included) | ✓ Industry and industrial historical contamination (restricted to 2 km2 basin) | ✓ Mining historical contamination (restricted to southern area) | Not relevant | ✓ Industry* |
| Uncoordinated management/ Insufficient transboundary cooperation | ✓ Uncoordinated management | ✓ Uncoordinated management | ✓ Uncoordinated management and lack of regulatory plans | ✓ Insufficient transboundary cooperation and uncoordinated management |
| Economic crisis | ✓ | ✓ | ✓ | ✓ |
Detailed DPSIR cycles of the most important drivers are available in supplementary information.
*Drivers identified in the lagoon, but with little expression with regard to the economy and ecological impacts.
Natural changes identified in each lagoon case study, potentially affecting the state change.
| Ria de Aveiro | Mar Menor | Tyligulskyi Liman | Vistula Lagoon | |
|---|---|---|---|---|
| Natural characteristics of the lagoon (ecohydrology, geomorphology, etc) | ✓ | ✓ | ✓ | ✓ |
| Invasive species | ✓ Several species (e.g. bivalves | ✓ (e.g. gastropod | ✓ (e.g. polychaete | ✓ Several species (e.g. polychaete |
| Unbalanced natural biological populations | ✓ Cormorants, storks | ✓ Macroalgae ( | ✓ Cormorants | |
| Coastal erosion | ✓ | ✓ | ||
| Extreme weather events | ✓ e.g. heat waves, heavy rainy periods, droughts, storm surge | ✓ e.g. heat waves, droughts | ✓ e.g. heat waves, heavy rainy periods, droughts | ✓ e.g. heat waves, heavy rainy periods, droughts |
| Global climate change | ✓ | ✓ | ✓ | ✓ |
Local management cannot address the causes of change, only the consequences.
*We defined global climate change as future change trends in weather patterns that last over a significant period of time and occur globally, whereas extreme weather events are defined as severe or unseasonal weather events occurring nowadays.
Figure 4Integrated management recommendations for each lagoon for their present condition, highlighting common general responses and specific responses for each lagoon, taking into account information obtained from the lagoons’ stakeholders, complemented by scientific knowledge on the lagoons’ physio-geographical and ecological characteristics.