@misc{GallegoLlorenteSarahJonesetal.2016,
  author    = {Gallego-Llorente, Marcos and Sarah, Connell and Jones, Eppie R. and Merrett, Deborah C. and Jeon, Y. and Eriksson, Anders and Siska, Veronika and Gamba, Cristina and Meiklejohn, Christopher and Beyer, Robert and Jeon, Sungwon and Cho, Yun Sung and Hofreiter, Michael and Bhak, Jong and Manica, Andrea and Pinhasi, Ron},
  title     = {The genetics of an early Neolithic pastoralist from the Zagros, Iran},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {952},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-43935},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-439355},
  pages     = {9},
  year      = {2016},
  abstract  = {The agricultural transition profoundly changed human societies. We sequenced and analysed the first genome (1.39x) of an early Neolithic woman from Ganj Dareh, in the Zagros Mountains of Iran, a site with early evidence for an economy based on goat herding, ca. 10,000 BP. We show that Western Iran was inhabited by a population genetically most similar to hunter-gatherers from the Caucasus, but distinct from the Neolithic Anatolian people who later brought food production into Europe. The inhabitants of Ganj Dareh made little direct genetic contribution to modern European populations, suggesting those of the Central Zagros were somewhat isolated from other populations of the Fertile Crescent. Runs of homozygosity are of a similar length to those from Neolithic farmers, and shorter than those of Caucasus and Western Hunter-Gatherers, suggesting that the inhabitants of Ganj Dareh did not undergo the large population bottleneck suffered by their northern neighbours. While some degree of cultural diffusion between Anatolia, Western Iran and other neighbouring regions is possible, the genetic dissimilarity between early Anatolian farmers and the inhabitants of Ganj Dareh supports a model in which Neolithic societies in these areas were distinct.},
  language  = {en}
}
@article{WehrhanRaunekerSommer2016,
  author    = {Wehrhan, Marc and Rauneker, Philipp and Sommer, Michael},
  title     = {UAV-Based Estimation of Carbon Exports from Heterogeneous Soil Landscapes-A Case Study from the CarboZALF Experimental Area},
  series = {SENSORS},
  volume    = {16},
  journal   = {SENSORS},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1424-8220},
  doi       = {10.3390/s16020255},
  pages     = {24},
  year      = {2016},
  abstract  = {The advantages of remote sensing using Unmanned Aerial Vehicles (UAVs) are a high spatial resolution of images, temporal flexibility and narrow-band spectral data from different wavelengths domains. This enables the detection of spatio-temporal dynamics of environmental variables, like plant-related carbon dynamics in agricultural landscapes. In this paper, we quantify spatial patterns of fresh phytomass and related carbon (C) export using imagery captured by a 12-band multispectral camera mounted on the fixed wing UAV Carolo P360. The study was performed in 2014 at the experimental area CarboZALF-D in NE Germany. From radiometrically corrected and calibrated images of lucerne (Medicago sativa), the performance of four commonly used vegetation indices (VIs) was tested using band combinations of six near-infrared bands. The highest correlation between ground-based measurements of fresh phytomass of lucerne and VIs was obtained for the Enhanced Vegetation Index (EVI) using near-infrared band b(899). The resulting map was transformed into dry phytomass and finally upscaled to total C export by harvest. The observed spatial variability at field- and plot-scale could be attributed to small-scale soil heterogeneity in part.},
  language  = {en}
}
@misc{WehrhanRaunekerSommer2016,
  author    = {Wehrhan, Marc and Rauneker, Philipp and Sommer, Michael},
  title     = {UAV-Based estimation of carbon exports from heterogeneous soil landscapes},
  series = {Sensors},
  journal   = {Sensors},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-407706},
  pages     = {24},
  year      = {2016},
  abstract  = {The advantages of remote sensing using Unmanned Aerial Vehicles (UAVs) are a high spatial resolution of images, temporal flexibility and narrow-band spectral data from different wavelengths domains. This enables the detection of spatio-temporal dynamics of environmental variables, like plant-related carbon dynamics in agricultural landscapes. In this paper, we quantify spatial patterns of fresh phytomass and related carbon (C) export using imagery captured by a 12-band multispectral camera mounted on the fixed wing UAV Carolo P360. The study was performed in 2014 at the experimental area CarboZALF-D in NE Germany. From radiometrically corrected and calibrated images of lucerne (Medicago sativa), the performance of four commonly used vegetation indices (VIs) was tested using band combinations of six near-infrared bands. The highest correlation between ground-based measurements of fresh phytomass of lucerne and VIs was obtained for the Enhanced Vegetation Index (EVI) using near-infrared band b(899). The resulting map was transformed into dry phytomass and finally upscaled to total C export by harvest. The observed spatial variability at field- and plot-scale could be attributed to small-scale soil heterogeneity in part.},
  language  = {en}
}