Marco Heurich

Research interests

Publications

• Behavioral responses of terrestrial mammals to COVID-19 lockdowns

  Science · 2023 · https://doi.org/10.1126/science.abo6499

• Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

  Remote Sensing of Environment · 2022 · https://doi.org/10.1016/j.rse.2021.112845

• Priority list of biodiversity metrics to observe from space

  Nature Ecology & Evolution · 2021 · https://doi.org/10.1038/s41559-021-01451-x

• Mapping out a future for ungulate migrations

  Science · 2021 · 10.1126/science.abf0998

• Heterogeneity–diversity relationships differ between and within trophic levels in temperate forests

  Nature Ecology & Evolution · 2020 · 10.1038/s41559-020-1245-z

• Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

  Remote Sensing · 2020 · 10.3390/rs12223690

• Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest

  Remote Sensing · 2019 · 10.3390/rs11222614

• Biodiversity along temperate forest succession

  Journal of Applied Ecology · 2018 · https://doi.org/10.1111/1365-2664.13238

• Moving in the Anthropocene: Global reductions in terrestrial mammalian movements

  Science · 2018 · 10.1126/science.aam9712

• Sentinel‐2 accurately maps green‐attack stage of European spruce bark beetle ( Ips typographus , L.) compared with Landsat‐8

  Remote Sensing in Ecology and Conservation · 2018 · 10.1002/rse2.93

• Important LiDAR metrics for discriminating forest tree species in Central Europe

  ISPRS Journal of Photogrammetry and Remote Sensing · 2018 · 10.1016/j.isprsjprs.2018.02.002

• European spruce bark beetle (Ips typographus, L.) green attack affects foliar reflectance and biochemical properties

  International Journal of Applied Earth Observation and Geoinformation · 2017 · 10.1016/j.jag.2017.09.009

• Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models

  Remote Sensing · 2017 · 10.3390/rs9020129

• Challenges and science-based implications for modern management and conservation of European ungulate populations

  Mammal Research · 2017 · 10.1007/s13364-017-0321-5

• Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives

  Ecological Indicators · 2016 · 10.1016/j.ecolind.2016.06.022

• Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics

  Remote Sensing · 2016 · 10.3390/rs8121029

• In Situ/Remote Sensing Integration to Assess Forest Health—A Review

  Remote Sensing · 2016 · 10.3390/rs8060471

• Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest

  International Journal of Applied Earth Observation and Geoinformation · 2015 · 10.1016/j.jag.2015.11.004

• Small beetle, large‐scale drivers: how regional and landscape factors affect outbreaks of the European spruce bark beetle

  Journal of Applied Ecology · 2015 · 10.1111/1365-2664.12540

• Reduction in browsing intensity may not compensate climate change effects on tree species composition in the Bavarian Forest National Park

  Forest Ecology and Management · 2014 · 10.1016/j.foreco.2014.05.030

• Forecasting potential bark beetle outbreaks based on spruce forest vitality using hyperspectral remote-sensing techniques at different scales

  Forest Ecology and Management · 2013 · 10.1016/j.foreco.2013.07.043

• Seasonality, weather and climate affect home range size in roe deer across a wide latitudinal gradient within E urope

  Journal of Animal Ecology · 2013 · 10.1111/1365-2656.12105

• Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data

  Remote Sensing of Environment · 2012 · 10.1016/j.rse.2012.03.027

• Partial migration in roe deer: migratory and resident tactics are end points of a behavioural gradient determined by ecological factors

  Oikos · 2011 · 10.1111/j.1600-0706.2011.19441.x

• Factors affecting the spatio-temporal dispersion of Ips typographus (L.) in Bavarian Forest National Park: A long-term quantitative landscape-level analysis

  Forest Ecology and Management · 2010 · 10.1016/j.foreco.2010.10.012

Current projects

No projects listed.