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Große-Stoltenberg, André [Author]; Hellmann, Christine [Author]; Thiele, Jan [Author]; Werner, Christiane [Author]; Oldeland, Jens [Author] ; 10th International Conference on Ecological Informatics- Translating Ecological Data into Knowledge and Decisions in a Rapidly Changing World. 24-28 September, 2018. Jena, Germany. [Contributor]

Early indicators of high impact of an invasive ecosystem engineer on ecosystem functioning from leaf to landscape scale

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  • Media type: Text; Spoken Word; Sound Recording; Electronic Resource; E-Book
  • Title: Early indicators of high impact of an invasive ecosystem engineer on ecosystem functioning from leaf to landscape scale
  • Contributor: Große-Stoltenberg, André [Author]; Hellmann, Christine [Author]; Thiele, Jan [Author]; Werner, Christiane [Author]; Oldeland, Jens [Author]
  • imprint: Digital Library Thüringen, 2018
  • Extent: 23 Seiten
  • Language: English
  • DOI: https://doi.org/10.22032/dbt.37843
  • Keywords: Acacia ; Invasive Species ; article ; GPP ; Nitrogen ; Hyperspectral ; Stable Isotopes ; LiDAR
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: Invasive ecosystem engineers, such as the N-fixing tree Acacia longifolia, are a major threat to ecosystem functioning across the globe. The local impact of A. longifolia on ecosystem structure and functioning in Mediterranean dunes has been well characterized by in-situ measurements, e.g. on water and N cycling. However, novel approaches are required for early detection of its impact at larger spatial scales. Therefore, our objective was to assess the impact of the invader on ecosystem functioning from the leaf to the landscape level applying sensor-based methods. To achieve this aim, we focused on three research questions: Can contrasts in leaf traits (e.g. leaf N content) between the invader and native species be retrieved from hyperspectral data? Can the invader’s spatial impact on N cycling be mapped at stand level using functional tracers and remote sensing? Finally, how can A. longifolia‘s alterations of ecosystem structure and functioning be tracked at landscape scale? First, leaf traits differed between A. longifolia and the native species, especially regarding leaf N content [1]. This trait dissimilarity can be an early warning sign for invaders with a significant impact on N cycling. It can be derived from hyperspectral data at both leaf and canopy scale. Therefore, there is potential for mapping. Second, we traced the invader’s impact on N cycling at the stand scale [2]. For this purpose, we combined spatial data on the distribution of a functional tracer of N-fixation, δ15N, with geospatial data on environmental heterogeneity derived from airborne LiDAR. The values of foliar δ15N of the non-fixing, native shrub Corema album are naturally quite low in this ecosystem. However, foliar δ15N of C. album clearly increased for shrubs growing with a margin of 5 – 8 m around A. longifolia stands. This indicated an uptake of N previously fixed by the invader. Adding LiDAR metrics to the spatial prediction model enabled mapping of foliar δ15N of C. album. Third, A. longifolia was detected at landscape level by ...
  • Access State: Open Access
  • Rights information: Attribution (CC BY)