@article{ZielewskaBuettnerHeurichMuelleretal.2018, author = {Zielewska-B{\"u}ttner, Katarzyna and Heurich, Marco and M{\"u}ller, J{\"o}rg and Braunisch, Veronika}, title = {Remotely Sensed Single Tree Data Enable the Determination of Habitat Thresholds for the Three-Toed Woodpecker (Picoides tridactylus)}, series = {Remote Sensing}, volume = {10}, journal = {Remote Sensing}, number = {12}, issn = {2072-4292}, doi = {10.3390/rs10121972}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-197565}, year = {2018}, abstract = {Forest biodiversity conservation requires precise, area-wide information on the abundance and distribution of key habitat structures at multiple spatial scales. We combined airborne laser scanning (ALS) data with color-infrared (CIR) aerial imagery for identifying individual tree characteristics and quantifying multi-scale habitat requirements using the example of the three-toed woodpecker (Picoides tridactylus) (TTW) in the Bavarian Forest National Park (Germany). This bird, a keystone species of boreal and mountainous forests, is highly reliant on bark beetles dwelling in dead or dying trees. While previous studies showed a positive relationship between the TTW presence and the amount of deadwood as a limiting resource, we hypothesized a unimodal response with a negative effect of very high deadwood amounts and tested for effects of substrate quality. Based on 104 woodpecker presence or absence locations, habitat selection was modelled at four spatial scales reflecting different woodpecker home range sizes. The abundance of standing dead trees was the most important predictor, with an increase in the probability of TTW occurrence up to a threshold of 44-50 dead trees per hectare, followed by a decrease in the probability of occurrence. A positive relationship with the deadwood crown size indicated the importance of fresh deadwood. Remote sensing data allowed both an area-wide prediction of species occurrence and the derivation of ecological threshold values for deadwood quality and quantity for more informed conservation management.}, language = {en} } @article{SommerfeldSenfBumaetal.2018, author = {Sommerfeld, Andreas and Senf, Cornelius and Buma, Brian and D'Amato, Anthony W. and Despr{\´e}s, Tiphaine and D{\´i}az-Hormaz{\´a}bal, Ignacio and Fraver, Shawn and Frelich, Lee E. and Guti{\´e}rrez, {\´A}lvaro G. and Hart, Sarah J. and Harvey, Brian J. and He, Hong S. and Hl{\´a}sny, Tom{\´a}š and Holz, Andr{\´e}s and Kitzberger, Thomas and Kulakowski, Dominik and Lindenmayer, David and Mori, Akira S. and M{\"u}ller, J{\"o}rg and Paritsis, Juan and Perry, George L. W. and Stephens, Scott L. and Svoboda, Miroslav and Turner, Monica G. and Veblen, Thomas T. and Seidl, Rupert}, title = {Patterns and drivers of recent disturbances across the temperate forest biome}, series = {Nature Communications}, volume = {9}, journal = {Nature Communications}, doi = {10.1038/s41467-018-06788-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-239157}, year = {2018}, abstract = {Increasing evidence indicates that forest disturbances are changing in response to global change, yet local variability in disturbance remains high. We quantified this considerable variability and analyzed whether recent disturbance episodes around the globe were consistently driven by climate, and if human influence modulates patterns of forest disturbance. We combined remote sensing data on recent (2001-2014) disturbances with in-depth local information for 50 protected landscapes and their surroundings across the temperate biome. Disturbance patterns are highly variable, and shaped by variation in disturbance agents and traits of prevailing tree species. However, high disturbance activity is consistently linked to warmer and drier than average conditions across the globe. Disturbances in protected areas are smaller and more complex in shape compared to their surroundings affected by human land use. This signal disappears in areas with high recent natural disturbance activity, underlining the potential of climate-mediated disturbance to transform forest landscapes.}, language = {en} }