Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Assessing the Potential Replacement of Laurel Forest by a Novel Ecosystem in the Steep Terrain of an Oceanic Island

Title data

Devkota, Ram Sharan ; Field, Richard ; Hoffmann, Samuel ; Walentowitz, Anna J. ; Medina, Félix ; Vetaas, Ole R. ; Chiarucci, Alessandro ; Weiser, Frank ; Jentsch, Anke ; Beierkuhnlein, Carl:
Assessing the Potential Replacement of Laurel Forest by a Novel Ecosystem in the Steep Terrain of an Oceanic Island.
In: Remote Sensing. Vol. 12 (2020) Issue 24 . - No. 4013.
ISSN 2072-4292
DOI: https://doi.org/10.3390/rs12244013

Abstract in another language

Biological invasions are a major global threat to biodiversity and often affect ecosystem services negatively. They are particularly problematic on oceanic islands where there are many narrow-ranged endemic species, and the biota may be very susceptible to invasion. Quantifying and mapping invasion processes are important steps for management and control but are challenging with the limited resources typically available and particularly difficult to implement on oceanic islands with very steep terrain. Remote sensing may provide an excellent solution in circumstances where the invading species can be reliably detected from imagery. We here develop a method to map the distribution of the alien chestnut (Castanea sativa Mill.) on the island of La Palma (Canary Islands, Spain), using freely available satellite images. On La Palma, the chestnut invasion threatens the iconic laurel forest, which has survived since the Tertiary period in the favourable climatic conditions of mountainous islands in the trade wind zone. We detect chestnut presence by taking advantage of the distinctive phenology of this alien tree, which retains its deciduousness while the native vegetation is evergreen. Using both Landsat 8 and Sentinel-2 (parallel analyses), we obtained images in two seasons (chestnuts leafless and in-leaf, respectively) and performed image regression to detect pixels changing from leafless to in-leaf chestnuts. We then applied supervised classification using Random Forest to map the present-day occurrence of the chestnut. Finally, we performed species distribution modelling to map the habitat suitability for chestnut on La Palma, to estimate which areas are prone to further invasion. Our results indicate that chestnuts occupy 1.2% of the total area of natural ecosystems on La Palma, with a further 12–17% representing suitable habitat that is not yet occupied. This enables targeted control measures with potential to successfully manage the invasion, given the relatively long generation time of the chestnut. Our method also enables research on the spread of the species since the earliest Landsat images.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: Published in the Special Issue Earth Observations for Biodiversity and Ecosystems of Mediterranean-Type Climate Regions
Keywords: Invasive species; Island ecology; Assisted migration; Laurel forest; Plant functional type; Deciduous trees; Species distribution models; Landsat 8; Sentinel-2; Castanea sativa
Institutions of the University: Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Biogeography
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Biogeography > Chair Biogeography - Univ.-Prof. Dr. Carl Beierkuhnlein
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Disturbance Ecology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Disturbance Ecology > Professor Disturbance Ecology - Univ.-Prof. Dr. Anke Jentsch
Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Graduate Schools
Graduate Schools > Elite Network Bavaria
Graduate Schools > Elite Network Bavaria > Global Change Ecology
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 550 Earth sciences, geology
500 Science > 580 Plants (Botany)
Date Deposited: 23 Feb 2022 09:11
Last Modified: 23 Feb 2022 09:11
URI: https://eref.uni-bayreuth.de/id/eprint/68734