Wetlands in flux: looking for the drivers in a central European case
Tomasz Berezowski , Martin Wassen , Jan Szatyłowicz , Jarosław Chormański , Stefan Ignar , Batelaan Okke , Tomasz Okruszko
AbstractPlanet Earth is undergoing significant changes which are driven by natural and anthropogenic factors. However, it is difficult to identify the drivers and their effect on the environment and ecosystems because there are many interdependencies. In this study we present a multi-parameter approach to assess the effect of changes in human-induced and natural drivers on a wetland ecosystem. The study area is one of the most prominent European wetlands: the Biebrza Basin, located in north-eastern Poland. We analysed long-term (ca. 1960–2000) changes in meteorology, hydrology, soil and vegetation, and also conservation history. This approach enabled us to identify interactions between environmental change and management. We found significant trends (1960–2012) indicating climate change: increases in temperature, evapotranspiration and earlier start of spring floods. We identified (1970–2000) a shift towards drier vegetation types after drainage. However, we also found that restoration measures that were implemented have mitigated climate change effects and have led to increases in soil moisture and wetter vegetation types. We conclude that, if carried out sufficiently frequently, the management measures implemented in the Biebrza Basin, which are a combination of different restoration measures (blocking drainage, not clearing aquatic vegetation, bush removal, mowing), can to some extent mitigate the effects of climate change.
|Journal series||WETLANDS ECOLOGY AND MANAGEMENT, ISSN 0923-4861, (A 25 pkt)|
|Publication size in sheets||0.7|
|Keywords in English||Management Restoration Climate change Hydrogenic soils Hydrology Vegetation|
|ASJC Classification||; ;|
|Score|| = 25.0, ArticleFromJournal|
= 30.0, ArticleFromJournal
|Publication indicators||: 2017 = 0.756; : 2017 = 1.581 (2) - 2017=1.588 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.