elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

The Impact of Inter-Annual Variabilityin Remote Sensing Time Series on Modeling Tree Species Distributions

Cord, Anna and Klein, Doris and Dech, Stefan (2011) The Impact of Inter-Annual Variabilityin Remote Sensing Time Series on Modeling Tree Species Distributions. MultiTemp2011, 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 12.-14. Juli 2011, Trento, Italien. (Unpublished)

Full text not available from this repository.

Abstract

Predictions of species occurrence as indicators of ecosystem integrity are of high relevance for decision-makers in conservation biology, invasive species’ management, and climate change research. Remote sensing data can serve as valuable input for Species Distribution Models (SDMs) since they provide information on current habitat conditions and disturbance factors besides bioclimatic suitability which is commonly derived from climatic data. However, little is known about the usefulness of multi-temporal remote sensing data in general for modeling species distributions and the related effects of inter-annual variability on the extent and accuracy of modeled distribution ranges. This study investigates the above-mentioned questions for two tropical tree species, Brosimum alicastrum and Liquidambar macrophylla, in Mexico. From the MODIS 16-day vegetation index product (MOD13A2), 18 annual phenological metrics (time-related, NPP-related and seasonality-related) were computed for the period from 2001 to 2009 and combined to a set of multi-year average values (covering 3, 5, 7, and 9 years). The results show that inter-annual variability has a significant impact on model predictions and that models based on longer composite periods show less deviance from observed species presence-absence field data.

Document Type:Conference or Workshop Item (Paper)
Title:The Impact of Inter-Annual Variabilityin Remote Sensing Time Series on Modeling Tree Species Distributions
Authors:
AuthorsInstitution or Email of Authors
Cord, Annaanna.cord@dlr.de
Klein, Dorisdoris.klein@dlr.de
Dech, Stefanstefan.dech@dlr.de
Date:July 2011
Refereed publication:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Unpublished
Keywords:Maximum Entropy, MODIS, Species Distribution Model, Phenology, Biodiversity, Mexico
Event Title:MultiTemp2011, 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images
Event Location:Trento, Italien
Event Type:international Conference
Event Dates:12.-14. Juli 2011
Organizer:Universität Trento
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Anna Cord
Deposited On:28 Sep 2011 20:55
Last Modified:31 Jul 2013 13:13

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.