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@ARTICLE{Schirrmann:811708,
author = {Schirrmann, Michael and Joschko, Monika and Gebbers, Robin
and Kramer, Eckart and Zörner, Miriam and Barkusky, Dietmar
and Timmer, Jens},
title = {{P}roximal {S}oil {S}ensing – {A} {C}ontribution for
{S}pecies {H}abitat {D}istribution {M}odelling of
{E}arthworms in {A}gricultural {S}oils?},
journal = {PLoS one},
volume = {11},
number = {6},
issn = {1932-6203},
address = {Lawrence, Kan.},
publisher = {PLoS},
reportid = {FZJ-2016-04092},
pages = {e0158271 -},
year = {2016},
abstract = {Earthworms 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.},
cin = {IBG-3},
ddc = {500},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000378859400042},
doi = {10.1371/journal.pone.0158271},
url = {https://juser.fz-juelich.de/record/811708},
}