@Article{AndersonMLASPBCEHLLMNPQA:2009:InLaHe,
               author = "Anderson, Liana Oighenstein and Malhi, Yadvinder and Ladle, 
                         Richard J. and Arag{\~a}o, Luiz Eduardo O. C. and Shimabukuro, 
                         Yosio Edemir and Phillips, Oliver and Baker, Tim and Costa, 
                         Antonio Lola da and Espejo, Javier and Higuchi, Niro and Laurance, 
                         William F. and L{\'o}pez-Gonz{\'a}lez, Gabi and Monteagudo, Abel 
                         and N{\'u}ņez-Vargas, Percy and Peacock, July and Quesada, Carlos 
                         A. and Almeida, Samuel",
          affiliation = "Univ Oxford, Sch Geog \& Environm, Oxford, England and Univ 
                         Oxford, Sch Geog \& Environm, Oxford, England and Univ Oxford, 
                         Sch Geog \& Environm, Oxford, England and Univ Oxford, Sch Geog 
                         \& Environm, Oxford, England and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and Univ Leeds, Sch Geog, Earth \& Biosphere 
                         Inst, Leeds LS2 9JT, W Yorkshire England and Univ Leeds, Sch Geog, 
                         Earth \& Biosphere Inst, Leeds LS2 9JT, W Yorkshire England and 
                         Fed Univ Para, BR-66059 Belem, Para Brazil and Inst Natl Pesquisas 
                         Amazonia, Manaus, Amazonas Brazil and Inst Natl Pesquisas 
                         Amazonia, Manaus, Amazonas Brazil and Smithsonian Trop Res Inst, 
                         Balboa, Panama and {} and Univ Nacl San Antonia Abad Cusco, 
                         Herbario Vargas, Cuzco, Peru and Univ Nacl San Antonia Abad Cusco, 
                         Herbario Vargas, Cuzco, Peru and Univ Leeds, Sch Geog, Earth \& 
                         Biosphere Inst, Leeds LS2 9JT, W Yorkshire England and Univ Leeds, 
                         Sch Geog, Earth \& Biosphere Inst, Leeds LS2 9JT, W Yorkshire 
                         England and Museu Paraense Emilio Goeldi, Belem, Para Brazil",
                title = "Influence of landscape heterogeneity on spatial patterns of wood 
                         productivity, wood specific density and above ground biomass in 
                         Amazonia",
              journal = "Biogeosciences",
                 year = "2009",
               volume = "6",
               number = "9",
                pages = "1883--1902",
                 note = "{DOAJ Directory of Open Access Journals Free}",
             keywords = ": aboveground biomass, carbon cycle, forestry production, 
                         geomorphology, Landsat thematic mapper, landscape structure, 
                         remote sensing, wood, Amazonia, Heliconia.",
             abstract = "Long-term studies using the RAINFOR network of forest plots have 
                         generated significant insights into the spatial and temporal 
                         dynamics of forest carbon cycling in Amazonia. In this work, we 
                         map and explore the landscape context of several major RAINFOR 
                         plot clusters using Landsat ETM+ satellite data. In particular, we 
                         explore how representative the plots are of their landscape 
                         context, and test whether bias in plot location within landscapes 
                         may be influencing the regional mean values obtained for important 
                         forest biophysical parameters. Specifically, we evaluate whether 
                         the regional variations in wood productivity, wood specific 
                         density and above ground biomass derived from the RAINFOR network 
                         could be driven by systematic and unintentional biases in plot 
                         location. Remote sensing data covering 45 field plots were 
                         aggregated to generate landscape maps to identify the specific 
                         physiognomy of the plots. In the Landsat ETM+ data, it was 
                         possible to spectrally differentiate three types of terra firme 
                         forest, three types of forests over Paleovarzea geomorphologycal 
                         formation, two types of bamboo-dominated forest, palm forest, 
                         Heliconia monodominant vegetation, swamp forest, disturbed forests 
                         and land use areas. Overall, the plots were generally 
                         representative of the forest physiognomies in the landscape in 
                         which they are located. Furthermore, the analysis supports the 
                         observed regional trends in those important forest parameters. 
                         This study demonstrates the utility of landscape scale analysis of 
                         forest physiognomies for validating and supporting the finds of 
                         plot based studies. Moreover, the more precise geolocation of many 
                         key RAINFOR plot clusters achieved during this research provides 
                         important contextual information for studies employing the RAINFOR 
                         database.",
                  doi = "10.5194/bg-6-1883-2009",
                  url = "http://dx.doi.org/10.5194/bg-6-1883-2009",
                label = "lattes: 7834780583735756 1 AndersonMLASPBCEHLLMNPQAV:2009:InLaHe",
             language = "en",
           targetfile = "bg-6-1883-2009.pdf",
                  url = "http://www.cosis.net/members/journals/df/recent.php?j_id=8",
        urlaccessdate = "01 maio 2024"
}