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000811708 1001_ $$0P:(DE-HGF)0$$aSchirrmann, Michael$$b0$$eCorresponding author
000811708 245__ $$aProximal Soil Sensing – A Contribution for Species Habitat Distribution Modelling of Earthworms in Agricultural Soils?
000811708 260__ $$aLawrence, Kan.$$bPLoS$$c2016
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000811708 520__ $$aEarthworms are important for maintaining soil ecosystem functioning and serve as indicators of soil fertility. However, detection of earthworms is time-consuming, which hinders the assessment of earthworm abundances with high sampling density over entire fields. Recent developments of mobile terrestrial sensor platforms for proximal soil sensing (PSS) provided new tools for collecting dense spatial information of soils using various sensing principles. Yet, the potential of PSS for assessing earthworm habitats is largely unexplored. This study investigates whether PSS data contribute to the spatial prediction of earthworm abundances in species distribution models of agricultural soils.
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000811708 7001_ $$0P:(DE-HGF)0$$aJoschko, Monika$$b1
000811708 7001_ $$0P:(DE-HGF)0$$aGebbers, Robin$$b2
000811708 7001_ $$0P:(DE-HGF)0$$aKramer, Eckart$$b3
000811708 7001_ $$0P:(DE-Juel1)169311$$aZörner, Miriam$$b4
000811708 7001_ $$0P:(DE-HGF)0$$aBarkusky, Dietmar$$b5
000811708 7001_ $$0P:(DE-HGF)0$$aTimmer, Jens$$b6
000811708 773__ $$0PERI:(DE-600)2267670-3$$a10.1371/journal.pone.0158271$$gVol. 11, no. 6, p. e0158271 -$$n6$$pe0158271 -$$tPLoS one$$v11$$x1932-6203$$y2016
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