Remote Sens. 2013, 5(7), 3305-3330; doi:10.3390/rs5073305
Article

Global Biogeographical Pattern of Ecosystem Functional Types Derived From Earth Observation Data

1,* email, 1email, 2email and 2email
Received: 22 May 2013; in revised form: 27 June 2013 / Accepted: 1 July 2013 / Published: 10 July 2013
(This article belongs to the Special Issue Monitoring Global Vegetation with AVHRR NDVI3g Data (1981-2011))
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The present study classified global Ecosystem Functional Types (EFTs) derived from seasonal vegetation dynamics of the GIMMS3g NDVI time-series. Rotated Principal Component Analysis (PCA) was run on the derived phenological and productivity variables, which selected the Standing Biomass (approximation of Net Primary Productivity), the Cyclic Fraction (seasonal vegetation productivity), the Permanent Fraction (permanent surface vegetation), the Maximum Day (day of maximum vegetation development) and the Season Length (length of vegetation growing season) variables, describing 98% of the variation in global ecosystems. EFTs were created based on Isodata classification of the spatial patterns of the Principal Components and were interpreted via gradient analysis using the selected remote sensing variables and climatic constraints (radiation, temperature, and water) of vegetation growth. The association of the EFTs with existing climate and land cover classifications was demonstrated via Detrended Correspondence Analysis (DCA). The ordination indicated good description of the global environmental gradient by the EFTs, supporting the understanding of phenological and productivity dynamics of global ecosystems. Climatic constraints of vegetation growth explained 50% of variation in the phenological data along the EFTs showing that part of the variation in the global phenological gradient is not climate related but is unique to the Earth Observation derived variables. DCA demonstrated good correspondence of the EFTs to global climate and also to land use classification. The results show the great potential of Earth Observation derived parameters for the quantification of ecosystem functional dynamics and for providing reference status information for future assessments of ecosystem changes.
Keywords: ecosystem function; gradient analysis; Earth Observation; phenology; productivity
PDF Full-text Download PDF Full-Text [1729 KB, Updated Version, uploaded 19 June 2014 01:05 CEST]
The original version is still available [1729 KB, uploaded 19 June 2014 01:05 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Ivits, E.; Cherlet, M.; Horion, S.; Fensholt, R. Global Biogeographical Pattern of Ecosystem Functional Types Derived From Earth Observation Data. Remote Sens. 2013, 5, 3305-3330.

AMA Style

Ivits E, Cherlet M, Horion S, Fensholt R. Global Biogeographical Pattern of Ecosystem Functional Types Derived From Earth Observation Data. Remote Sensing. 2013; 5(7):3305-3330.

Chicago/Turabian Style

Ivits, Eva; Cherlet, Michael; Horion, Stephanie; Fensholt, Rasmus. 2013. "Global Biogeographical Pattern of Ecosystem Functional Types Derived From Earth Observation Data." Remote Sens. 5, no. 7: 3305-3330.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert