@article{PremkeAttermeyerAugustinetal.2016,
  author    = {Premke, Katrin and Attermeyer, Katrin and Augustin, J{\"u}rgen and Cabezas, Alvaro and Casper, Peter and Deumlich, Detlef and Gelbrecht, J{\"o}rg and Gerke, Horst H. and Gessler, Arthur and Großart, Hans-Peter and Hilt, Sabine and Hupfer, Michael and Kalettka, Thomas and Kayler, Zachary and Lischeid, Gunnar and Sommer, Michael and Zak, Dominik},
  title     = {The importance of landscape diversity for carbon fluxes at the landscape level: small-scale heterogeneity matters},
  series = {Wiley Interdisciplinary Reviews : Water},
  volume    = {3},
  journal   = {Wiley Interdisciplinary Reviews : Water},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {2049-1948},
  doi       = {10.1002/wat2.1147},
  pages     = {601 -- 617},
  year      = {2016},
  abstract  = {Landscapes can be viewed as spatially heterogeneous areas encompassing terrestrial and aquatic domains. To date, most landscape carbon (C) fluxes have been estimated by accounting for terrestrial ecosystems, while aquatic ecosystems have been largely neglected. However, a robust assessment of C fluxes on the landscape scale requires the estimation of fluxes within and between both landscape components. Here, we compiled data from the literature on C fluxes across the air-water interface from various landscape components. We simulated C emissions and uptake for five different scenarios which represent a gradient of increasing spatial heterogeneity within a temperate young moraine landscape: (I) a homogeneous landscape with only cropland and large lakes; (II) separation of the terrestrial domain into cropland and forest; (III) further separation into cropland, forest, and grassland; (IV) additional division of the aquatic area into large lakes and peatlands; and (V) further separation of the aquatic area into large lakes, peatlands, running waters, and small water bodies These simulations suggest that C fluxes at the landscape scale might depend on spatial heterogeneity and landscape diversity, among other factors. When we consider spatial heterogeneity and diversity alone, small inland waters appear to play a pivotal and previously underestimated role in landscape greenhouse gas emissions that may be regarded as C hot spots. Approaches focusing on the landscape scale will also enable improved projections of ecosystems' responses to perturbations, e.g., due to global change and anthropogenic activities, and evaluations of the specific role individual landscape components play in regional C fluxes. WIREs Water 2016, 3:601-617. doi: 10.1002/wat2.1147},
  language  = {en}
}
@article{LischeidKalettkaMerzetal.2016,
  author    = {Lischeid, Gunnar and Kalettka, Thomas and Merz, Christoph and Steidl, J{\"o}rg},
  title     = {Monitoring the phase space of ecosystems: Concept and examples from the Quillow catchment, Uckermark},
  series = {Ecological indicators : integrating monitoring, assessment and management},
  volume    = {65},
  journal   = {Ecological indicators : integrating monitoring, assessment and management},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1470-160X},
  doi       = {10.1016/j.ecolind.2015.10.067},
  pages     = {55 -- 65},
  year      = {2016},
  abstract  = {Ecosystem research benefits enormously from the fact that comprehensive data sets of high quality, and covering long time periods are now increasingly more available. However, facing apparently complex interdependencies between numerous ecosystem components, there is urgent need rethinking our approaches in ecosystem research and applying new tools of data analysis. The concept presented in this paper is based on two pillars. Firstly, it postulates that ecosystems are multiple feedback systems and thus are highly constrained. Consequently, the effective dimensionality of multivariate ecosystem data sets is expected to be rather low compared to the number of observables. Secondly, it assumes that ecosystems are characterized by continuity in time and space as well as between entities which are often treated as distinct units. Implementing this concept in ecosystem research requires new tools for analysing large multivariate data sets. This study presents some of them, which were applied to a comprehensive water quality data set from a long-term monitoring program in Northeast Germany in the Uckermark region, one of the LTER-D (Long Term Ecological Research network, Germany) sites. Short-term variability of the kettle hole water samples differed substantially from that of the stream water samples, suggesting different processes generating the dynamics in these two types of water bodies. However, again, this seemed to be due to differing intensities of single processes rather than to completely different processes. We feel that research aiming at elucidating apparently complex interactions in ecosystems could make much more efficient use from now available large monitoring data sets by implementing the suggested concept and using corresponding innovative tools of system analysis. (C) 2015 Elsevier Ltd. All rights reserved.},
  language  = {en}
}