@article{LauschBorgBumbergeretal.2018, author = {Lausch, Angela and Borg, Erik and Bumberger, Jan and Dietrich, Peter and Heurich, Marco and Huth, Andreas and Jung, Andr{\´a}s and Klenke, Reinhard and Knapp, Sonja and Mollenhauer, Hannes and Paasche, Hendrik and Paulheim, Heiko and Pause, Marion and Schweitzer, Christian and Schmulius, Christiane and Settele, Josef and Skidmore, Andrew K. and Wegmann, Martin and Zacharias, Steffen and Kirsten, Toralf and Schaepman, Michael E.}, title = {Understanding forest health with remote sensing, part III: requirements for a scalable multi-source forest health monitoring network based on data science approaches}, series = {Remote Sensing}, volume = {10}, journal = {Remote Sensing}, number = {7}, issn = {2072-4292}, doi = {10.3390/rs10071120}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-197691}, pages = {1120}, year = {2018}, abstract = {Forest ecosystems fulfill a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level of anthropogenic influences is reducing the resilience and stability of our forest ecosystems as well as their ecosystem functions. The relationships between drivers, stress, and ecosystem functions in forest ecosystems are complex, multi-faceted, and often non-linear, and yet forest managers, decision makers, and politicians need to be able to make rapid decisions that are data-driven and based on short and long-term monitoring information, complex modeling, and analysis approaches. A huge number of long-standing and standardized forest health inventory approaches already exist, and are increasingly integrating remote-sensing based monitoring approaches. Unfortunately, these approaches in monitoring, data storage, analysis, prognosis, and assessment still do not satisfy the future requirements of information and digital knowledge processing of the 21st century. Therefore, this paper discusses and presents in detail five sets of requirements, including their relevance, necessity, and the possible solutions that would be necessary for establishing a feasible multi-source forest health monitoring network for the 21st century. Namely, these requirements are: (1) understanding the effects of multiple stressors on forest health; (2) using remote sensing (RS) approaches to monitor forest health; (3) coupling different monitoring approaches; (4) using data science as a bridge between complex and multidimensional big forest health (FH) data; and (5) a future multi-source forest health monitoring network. It became apparent that no existing monitoring approach, technique, model, or platform is sufficient on its own to monitor, model, forecast, or assess forest health and its resilience. In order to advance the development of a multi-source forest health monitoring network, we argue that in order to gain a better understanding of forest health in our complex world, it would be conducive to implement the concepts of data science with the components: (i) digitalization; (ii) standardization with metadata management after the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles; (iii) Semantic Web; (iv) proof, trust, and uncertainties; (v) tools for data science analysis; and (vi) easy tools for scientists, data managers, and stakeholders for decision-making support.}, language = {en} } @article{BaeHeidrichLevicketal.2020, author = {Bae, Soyeon and Heidrich, Lea and Levick, Shaun R. and Gossner, Martin M. and Seibold, Sebastian and Weisser, Wolfgang W. and Magdon, Paul and Serebryanyk, Alla and B{\"a}ssler, Claus and Sch{\"a}fer, Deborah and Schulze, Ernst-Detlef and Doerfler, Inken and M{\"u}ller, J{\"o}rg and Jung, Kirsten and Heurich, Marco and Fischer, Markus and Roth, Nicolas and Schall, Peter and Boch, Steffen and W{\"o}llauer, Stephan and Renner, Swen C. and M{\"u}ller, J{\"o}rg}, title = {Dispersal ability, trophic position and body size mediate species turnover processes: Insights from a multi-taxa and multi-scale approach}, series = {Diversity and Distribution}, volume = {27}, journal = {Diversity and Distribution}, number = {3}, doi = {10.1111/ddi.13204}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-236117}, pages = {439-453}, year = {2020}, abstract = {Aim: Despite increasing interest in β-diversity, that is the spatial and temporal turnover of species, the mechanisms underlying species turnover at different spatial scales are not fully understood, although they likely differ among different functional groups. We investigated the relative importance of dispersal limitations and the environmental filtering caused by vegetation for local, multi-taxa forest communities differing in their dispersal ability, trophic position and body size. Location: Temperate forests in five regions across Germany. Methods: In the inter-region analysis, the independent and shared effects of the regional spatial structure (regional species pool), landscape spatial structure (dispersal limitation) and environmental factors on species turnover were quantified with a 1-ha grain across 11 functional groups in up to 495 plots by variation partitioning. In the intra-region analysis, the relative importance of three environmental factors related to vegetation (herb and tree layer composition and forest physiognomy) and spatial structure for species turnover was determined. Results: In the inter-region analysis, over half of the explained variation in community composition (23\% of the total explained 35\%) was explained by the shared effects of several factors, indicative of spatially structured environmental filtering. Among the independent effects, environmental factors were the strongest on average over 11 groups, but the importance of landscape spatial structure increased for less dispersive functional groups. In the intra-region analysis, the independent effect of plant species composition had a stronger influence on species turnover than forest physiognomy, but the relative importance of the latter increased with increasing trophic position and body size. Main conclusions: Our study revealed that the mechanisms structuring assemblage composition are associated with the traits of functional groups. Hence, conservation frameworks targeting biodiversity of multiple groups should cover both environmental and biogeographical gradients. Within regions, forest management can enhance β-diversity particularly by diversifying tree species composition and forest physiognomy.}, language = {en} } @article{LeProvostThieleWestphaletal.2021, author = {Le Provost, Ga{\"e}tane and Thiele, Jan and Westphal, Catrin and Penone, Caterina and Allan, Eric and Neyret, Margot and van der Plas, Fons and Ayasse, Manfred and Bardgett, Richard D. and Birkhofer, Klaus and Boch, Steffen and Bonkowski, Michael and Buscot, Francois and Feldhaar, Heike and Gaulton, Rachel and Goldmann, Kezia and Gossner, Martin M. and Klaus, Valentin H. and Kleinebecker, Till and Krauss, Jochen and Renner, Swen and Scherreiks, Pascal and Sikorski, Johannes and Baulechner, Dennis and Bl{\"u}thgen, Nico and Bolliger, Ralph and B{\"o}rschig, Carmen and Busch, Verena and Chist{\´e}, Melanie and Fiore-Donno, Anna Maria and Fischer, Markus and Arndt, Hartmut and Hoelzel, Norbert and John, Katharina and Jung, Kirsten and Lange, Markus and Marzini, Carlo and Overmann, J{\"o}rg and Paŝalić, Esther and Perović, David J. and Prati, Daniel and Sch{\"a}fer, Deborah and Sch{\"o}ning, Ingo and Schrumpf, Marion and Sonnemann, Ilja and Steffan-Dewenter, Ingolf and Tschapka, Marco and T{\"u}rke, Manfred and Vogt, Juliane and Wehner, Katja and Weiner, Christiane and Weisser, Wolfgang and Wells, Konstans and Werner, Michael and Wolters, Volkmar and Wubet, Tesfaye and Wurst, Susanne and Zaitsev, Andrey S. and Manning, Peter}, title = {Contrasting responses of above- and belowground diversity to multiple components of land-use intensity}, series = {Nature Communications}, volume = {12}, journal = {Nature Communications}, doi = {10.1038/s41467-021-23931-1}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-371552}, year = {2021}, abstract = {Land-use intensification is a major driver of biodiversity loss. However, understanding how different components of land use drive biodiversity loss requires the investigation of multiple trophic levels across spatial scales. Using data from 150 agricultural grasslands in central Europe, we assess the influence of multiple components of local- and landscape-level land use on more than 4,000 above- and belowground taxa, spanning 20 trophic groups. Plot-level land-use intensity is strongly and negatively associated with aboveground trophic groups, but positively or not associated with belowground trophic groups. Meanwhile, both above- and belowground trophic groups respond to landscape-level land use, but to different drivers: aboveground diversity of grasslands is promoted by diverse surrounding land-cover, while belowground diversity is positively related to a high permanent forest cover in the surrounding landscape. These results highlight a role of landscape-level land use in shaping belowground communities, and suggest that revised agroecosystem management strategies are needed to conserve whole-ecosystem biodiversity.}, language = {en} }