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000851424 1001_ $$0P:(DE-HGF)0$$aHolmberg, Maria$$b0$$eCorresponding author
000851424 245__ $$aModelling study of soil C, N and pH response to air pollution and climate change using European LTER site observations
000851424 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2018
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000851424 520__ $$aCurrent climate warming is expected to continue in coming decades, whereas high N deposition may stabilize, in contrast to the clear decrease in S deposition. These pressures have distinctive regional patterns and their resulting impact on soil conditions is modified by local site characteristics. We have applied the VSD+ soil dynamic model to study impacts of deposition and climate change on soil properties, using MetHyd and GrowUp as pre-processors to provide input to VSD+. The single-layer soil model VSD+ accounts for processes of organic C and N turnover, as well as charge and mass balances of elements, cation exchange and base cation weathering. We calibrated VSD+ at 26 ecosystem study sites throughout Europe using observed conditions, and simulated key soil properties: soil solution pH (pH), soil base saturation (BS) and soil organic carbon and nitrogen ratio (C:N) under projected deposition of N and S, and climate warming until 2100. The sites are forested, located in the Mediterranean, forested alpine, Atlantic, continental and boreal regions. They represent the long-term ecological research (LTER) Europe network, including sites of the ICP Forests and ICP Integrated Monitoring (IM) programmes under the UNECE Convention on Long-range Transboundary Air Pollution (LRTAP), providing high quality long-term data on ecosystem response. Simulated future soil conditions improved under projected decrease in deposition and current climate conditions: higher pH, BS and C:N at 21, 16 and 12 of the sites, respectively. When climate change was included in the scenario analysis, the variability of the results increased. Climate warming resulted in higher simulated pH in most cases, and higher BS and C:N in roughly half of the cases. Especially the increase in C:N was more marked with climate warming. The study illustrates the value of LTER sites for applying models to predict soil responses to multiple environmental changes.
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000851424 536__ $$0G:(EU-Grant)654359$$aeLTER - European Long-Term Ecosystem and socio-ecological Research Infrastructure (654359)$$c654359$$fH2020-INFRAIA-2014-2015$$x1
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000851424 7001_ $$0P:(DE-HGF)0$$aAherne, Julian$$b1
000851424 7001_ $$0P:(DE-HGF)0$$aAustnes, Kari$$b2
000851424 7001_ $$0P:(DE-HGF)0$$aBeloica, Jelena$$b3
000851424 7001_ $$0P:(DE-HGF)0$$aDe Marco, Alessandra$$b4
000851424 7001_ $$0P:(DE-HGF)0$$aDirnböck, Thomas$$b5
000851424 7001_ $$0P:(DE-HGF)0$$aFornasier, Maria Francesca$$b6
000851424 7001_ $$0P:(DE-Juel1)156253$$aGörgen, Klaus$$b7
000851424 7001_ $$00000-0002-9789-7138$$aFutter, Martyn$$b8
000851424 7001_ $$0P:(DE-HGF)0$$aLindroos, Antti-Jussi$$b9
000851424 7001_ $$0P:(DE-HGF)0$$aKrám, Pavel$$b10
000851424 7001_ $$0P:(DE-HGF)0$$aNeirynck, Johan$$b11
000851424 7001_ $$0P:(DE-HGF)0$$aNieminen, Tiina Maileena$$b12
000851424 7001_ $$0P:(DE-HGF)0$$aPecka, Tomasz$$b13
000851424 7001_ $$0P:(DE-HGF)0$$aPosch, Maximilian$$b14
000851424 7001_ $$0P:(DE-HGF)0$$aPröll, Gisela$$b15
000851424 7001_ $$0P:(DE-HGF)0$$aRowe, Ed C.$$b16
000851424 7001_ $$0P:(DE-HGF)0$$aScheuschner, Thomas$$b17
000851424 7001_ $$0P:(DE-HGF)0$$aSchlutow, Angela$$b18
000851424 7001_ $$0P:(DE-HGF)0$$aValinia, Salar$$b19
000851424 7001_ $$0P:(DE-HGF)0$$aForsius, Martin$$b20
000851424 770__ $$aInternational Long-Term Ecological Research (ILTER) network
000851424 773__ $$0PERI:(DE-600)1498726-0$$a10.1016/j.scitotenv.2018.05.299$$gVol. 640-641, p. 387 - 399$$p387 - 399$$tThe science of the total environment$$v640-641$$x0048-9697$$y2018
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