@article{FaethKunzKneisel2022,
  author    = {F{\"a}th, Julian and Kunz, Julius and Kneisel, Christof},
  title     = {Monitoring spatiotemporal soil moisture changes in the subsurface of forest sites using electrical resistivity tomography (ERT)},
  series = {Journal of Forestry Research},
  volume    = {33},
  journal   = {Journal of Forestry Research},
  number    = {5},
  issn      = {1007-662X},
  doi       = {10.1007/s11676-022-01498-x},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-324073},
  pages     = {1649-1662},
  year      = {2022},
  abstract  = {The effects of drought on tree mortality at forest stands are not completely understood. For assessing their water supply, knowledge of the small-scale distribution of soil moisture as well as its temporal changes is a key issue in an era of climate change. However, traditional methods like taking soil samples or installing data loggers solely collect parameters of a single point or of a small soil volume. Electrical resistivity tomography (ERT) is a suitable method for monitoring soil moisture changes and has rarely been used in forests. This method was applied at two forest sites in Bavaria, Germany to obtain high-resolution data of temporal soil moisture variations. Geoelectrical measurements (2D and 3D) were conducted at both sites over several years (2015-2018/2020) and compared with soil moisture data (matric potential or volumetric water content) for the monitoring plots. The greatest variations in resistivity values that highly correlate with soil moisture data were found in the main rooting zone. Using the ERT data, temporal trends could be tracked in several dimensions, such as the interannual increase in the depth of influence from drought events and their duration, as well as rising resistivity values going along with decreasing soil moisture. The results reveal that resistivity changes are a good proxy for seasonal and interannual soil moisture variations. Therefore, 2D- and 3D-ERT are recommended as comparatively non-laborious methods for small-spatial scale monitoring of soil moisture changes in the main rooting zone and the underlying subsurface of forested sites. Higher spatial and temporal resolution allows a better understanding of the water supply for trees, especially in times of drought.},
  language  = {en}
}
@article{LatifiValbuena2019,
  author    = {Latifi, Hooman and Valbuena, Ruben},
  title     = {Current trends in forest ecological applications of three-dimensional remote sensing: Transition from experimental to operational solutions?},
  series = {Forests},
  volume    = {10},
  journal   = {Forests},
  number    = {10},
  issn      = {1999-4907},
  doi       = {10.3390/f10100891},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-193282},
  year      = {2019},
  abstract  = {The alarming increase in the magnitude and spatiotemporal patterns of changes in composition, structure and function of forest ecosystems during recent years calls for enhanced cross-border mitigation and adaption measures, which strongly entail intensified research to understand the underlying processes in the ecosystems as well as their dynamics. Remote sensing data and methods are nowadays the main complementary sources of synoptic, up-to-date and objective information to support field observations in forest ecology. In particular, analysis of three-dimensional (3D) remote sensing data is regarded as an appropriate complement, since they are hypothesized to resemble the 3D character of most forest attributes. Following their use in various small-scale forest structural analyses over the past two decades, these sources of data are now on their way to be integrated in novel applications in fields like citizen science, environmental impact assessment, forest fire analysis, and biodiversity assessment in remote areas. These and a number of other novel applications provide valuable material for the Forests special issue "3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function", which shows the promising future of these technologies and improves our understanding of the potentials and challenges of 3D remote sensing in practical forest ecology worldwide.},
  language  = {en}
}