PS2 Tracking Changes from Space: Advances of Remote Sensing in Biogeography
Friday, 12:15-15:45, Audimax
- Mao-Ning Tuanmu, Yale University, USA
- Kate He, Murray State University, USA
- Anna Cord, Helmholtz Centre for Environmental Research – UFZ, Germany
A key problem that biogeographers and ecologists have strived to understand is the spatial patterns and temporal dynamics of the biota. In this age of climatic and land use changes and rapid rates of species extinctions, such knowledge has become an essential component for management and conservation. The synoptic view provided by earth-imaging sensors constitutes an important source of information on the distribution of habitats and biodiversity patterns at different spatial and temporal scales. The traditional approach to using these data has involved the classification of discrete land cover types which are then related to species distributions. A critical limitation of this approach is that many important dynamics are obscured as the variance is lost within arbitrary land cover classes. In recent years, novel analytical techniques and open source software have been developed that more fully exploit the spatial, spectral and temporal information content of remotely sensed imagery in order to quantify a broader range of ecosystem characteristics. This symposium features advances in the synoptic assessment of species distributions and biodiversity patterns including the development of methodologies for assessment, monitoring, and modeling, as well as their implications for management and conservation.
- Bethany Bradley, University of Massachusetts, USA
"Invaders from space: Remote sensing of invasive plants"
- Sebastian Schmidtlein, Karlsruhe Institute for Technology, Germany
"What you can't expect from remote sensing"
- Duccio Rocchini, Fondazione Edmund Mach, Dpt. Biodiversity and Molecular Ecology, GIS and Remote Sensing Unit, Italy
"Advances in estimating species diversity by remote sensing: a challenge for Biogeography"
- Woody Turner, Program Scientist for Biological Diversity and Program Manager for Ecological Forecasting, NASA, USA
"Remote Sensing for Biogeography: Networking Our Future"
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||Michael Beckmann, Tomáš Václavík, Ameur Manceur, Henrik von Wehrden, Erik Welk, Anna Cord|
glUV: a global UV-B radiation data set for macroecological studies
||Palma Blonda, Maria Adamo, Cristina Tarantino, Richard Lucas, Valeria Tomaselli, Antonio Sigismondi, Paola Mairota|
(Semi-) Natural grasslands monitoring from multi-seasonal Very High Resolution Earth Observation data (WorldView2): achievemnts of the FP7 BIO_SOS project
||Caroline Curtis, Bethany Bradley|
Using time series of remotely sensed imagery to understand the dispersal dynamics of invasive species
||Michael Douglas, Rahama Beida|
Artifacts in WORLDCLIM precipitation fields
||Fabian Fassnacht, Li Li, Andreas Fritz|
Assessing avian species richness in the eastern Tibetian Plateau with multi-scale remote sensing data
Vegetation types at large spatial scales. Can we predict where they meet?
||Kate He, Nathalie Pettorelli, Bethany Bradley, Anna Cord, Duccio Rocchini, Mao-Ning Tuanmu, Woody Turner, Martin Wegmann|
Remote sensing to shape the next generation species distribution models
||Buho Hoshino, Kazuya Nishimura, Shunsuke Yabuki, Kiyotsugu Yoda, Hiroshi Yasuda, Hiroshi Nawata, Karamalla Abdelaziz, Suliman Mahgoub, Elgamri Mohamed|
Remote sensing approach for evaluating the invasion strategic of Mesquite (Prosopis juliflora) in Sub-Saharan Africa
||Emily Lines, Jose Gomez-Dans, Philip Lewis|
Assimilation of Remote Sensing Data for Land Surface Models
||Matteo Marcantonio, Baldacchino Frederic, Metz Markus, Rosà Roberto, Arnoldi Daniele, Kleinschmit Birgit, Förster Michael, Bussola Francesca, Montarsi Fabrizio, Capelli Gioia, Neteler Markus, Rizzoli Annapaola|
Species distribution modelling of a new invasive mosquito in North East Italy: A Bayesian approach
||Katherine Mertes, Walter Jetz|
Evaluating scale-dependence in species-environment relationships
||Rasmus Revermann, Finckh Manfred, Stellmes Marion, Oldeland Jens|
Using remotely sensed predictors for SDMs to explain distribution of canopy tree species of Miombo woodlands
||Kim André Vanselow, Cyrus Samimi|
Predictive mapping of dwarf shrub vegetation in an arid high mountain ecosystem using remote sensing and random forests
||Adam Wilson, Walter Jetz|
High-resolution global cloud dynamics for ecosystem and biodiversity monitoring
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