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Assessing Forest Cover Dynamics and Forest Perception in the Atlantic Forest of Paraguay, Combining Remote Sensing and Household Level Data

Da Ponte, Emmanuel and Mack, Benjamin and Wohlfart, Christian and Rodas, Oscar and Fleckenstein, Martina and Oppelt, Natascha and Dech, Stefan and Kuenzer, Claudia (2017) Assessing Forest Cover Dynamics and Forest Perception in the Atlantic Forest of Paraguay, Combining Remote Sensing and Household Level Data. Forests, 8 (10), pp. 1-21. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/f8100389 ISSN 1999-4907

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Official URL: http://www.mdpi.com/1999-4907/8/10/389


The Upper Parana Atlantic Forest (BAAPA) in Paraguay is one of the most threatened tropical forests in the world. The rapid growth of deforestation has resulted in the loss of 91% of its original cover. Numerous efforts have been made to halt deforestation activities, however farmers’ perception towards the forest and its benefits has not been considered either in studies conducted so far or by policy makers. This research provides the first multi-temporal analysis of the dynamics of the forest within the BAAPA region on the one hand, and assesses the way farmers perceive the forest and how this influences forest conservation at the farm level on the other. Remote sensing data acquired from Landsat images from 1999 to 2016 were used to measure the extent of the forest cover and deforestation rates over 17 years. Farmers’ influence on the dynamics of the forest was evaluated by combining earth observation data and household survey results conducted in the BAAPA region in 2016. Outcomes obtained in this study demonstrate a total loss in forest cover of 7500 km2. Deforestation rates in protected areas were determined by management regimes. The combination of household level and remote sensing data demonstrated that forest dynamics at the farm level is influenced by farm type, the level of dependency/use of forest benefits and the level of education of forest owners. An understanding of the social value awarded to the forest is a relevant contribution towards preserving natural resources

Item URL in elib:https://elib.dlr.de/114635/
Document Type:Article
Title:Assessing Forest Cover Dynamics and Forest Perception in the Atlantic Forest of Paraguay, Combining Remote Sensing and Household Level Data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Da Ponte, Emmanuelemmanuel.daponte (at) dlr.deUNSPECIFIED
Mack, BenjaminBenjamin.Mack (at) dlr.deUNSPECIFIED
Wohlfart, ChristianChristian.Wohlfart (at) dlr.deUNSPECIFIED
Rodas, Oscarorodas (at) wwf.org.pyUNSPECIFIED
Fleckenstein, Martinamartina.fleckenstein (at) wwf.deUNSPECIFIED
Oppelt, Nataschaoppelt (at) geographie.uni-kiel.deUNSPECIFIED
Dech, StefanStefan.Dech (at) dlr.deUNSPECIFIED
Kuenzer, Claudiaclaudia.kuenzer (at) dlr.deUNSPECIFIED
Date:11 October 2017
Journal or Publication Title:Forests
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.3390/f8100389
Page Range:pp. 1-21
He, Audreyaudrey.he@mdpi.com
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters
Keywords:BAAPA; remote sensing; household survey; forest; farm types
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Da Ponte, Emmanuel
Deposited On:19 Oct 2017 12:25
Last Modified:14 Dec 2019 04:24

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