Knauer, Kim und Klein, Doris und Allsopp, Nicky und Baumhauer, Roland und Dech, Stefan (2011) Monitoring ecosystem health of Fynbos remnant vegetation in the City of Cape Town using remote sensing. In: SOUTH AFRICAN JOURNAL OF BOTANY, 77, Seite 572. South African Association of Botanists – Annual Meeting, 2011-01-17 - 2011-01-19, Grahamstown, Südafrika. doi: 10.1016/j.sajb.2011.03.003.
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Offizielle URL: http://www.sciencedirect.com/science/article/pii/S0254629911000160
Kurzfassung
Sand Fynbos in and around the City of Cape Town has been reduced to fragments by urbanisation and agriculture. Further threats include exotic plant species. Invasive Port Jackson (Acacia saligna) is a major threat and grasses, both indigenous and alien, appear to be an alternative state on some Sand Fynbos sites. This study investigates if remote sensing can provide indicators for the rapid detection of vegetation state of remaining vegetation fragments. Productivity of the vegetation in response to rainfall is determined with the Enhanced Vegetation Index (EVI) at sites within or adjacent to the City of Cape Town which are of conservation interest. Terra MODIS EVI data with a spatial resolution of 250 m and precipitation data from 19 rainfall stations for the period 2000 – 2008 are analysed. In January 2010, fieldwork was undertaken to investigate the state and composition of the local vegetation. EVI data are correlated with the rainfall data. Within the scope of a flexible correlation, different lags of the reaction are analysed. Residual trends (RESTREND), the difference be- tween observed EVI and the one predicted by precipitation, are calculated. EVI response of Fynbos to rainfall is considerably lower than that of grasses or A. saligna, and grass response is highly seasonal. A. saligna has a higher EVI than Fynbos vegetation and shows a higher rain-use efficiency. With the specific characteristics of these indicators and the spectral signature of A. saligna, i.e. its unique reflectance over the course of the year, its distribution can be estimated. Remote sensing shows promise as a suitable instrument to assess the state of lowland fynbos fragments.
elib-URL des Eintrags: | https://elib.dlr.de/105366/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||
Titel: | Monitoring ecosystem health of Fynbos remnant vegetation in the City of Cape Town using remote sensing | ||||||||||||||||||||||||
Autoren: |
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Datum: | Januar 2011 | ||||||||||||||||||||||||
Erschienen in: | SOUTH AFRICAN JOURNAL OF BOTANY | ||||||||||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||
Band: | 77 | ||||||||||||||||||||||||
DOI: | 10.1016/j.sajb.2011.03.003 | ||||||||||||||||||||||||
Seitenbereich: | Seite 572 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | Remote Sensing, Fynbos, Ecosystem Health, RESTREND | ||||||||||||||||||||||||
Veranstaltungstitel: | South African Association of Botanists – Annual Meeting | ||||||||||||||||||||||||
Veranstaltungsort: | Grahamstown, Südafrika | ||||||||||||||||||||||||
Veranstaltungsart: | nationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsbeginn: | 17 Januar 2011 | ||||||||||||||||||||||||
Veranstaltungsende: | 19 Januar 2011 | ||||||||||||||||||||||||
Veranstalter : | Rhodes University | ||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Geowissenschaftl. Fernerkundungs- und GIS-Verfahren | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum | ||||||||||||||||||||||||
Hinterlegt von: | Knauer, Kim | ||||||||||||||||||||||||
Hinterlegt am: | 06 Sep 2016 13:16 | ||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:10 |
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