2021
DOI: 10.1016/j.biocon.2020.108849
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Taking the pulse of Earth's tropical forests using networks of highly distributed plots

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Cited by 79 publications
(49 citation statements)
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References 132 publications
(163 reference statements)
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“…The rati cation or eld validation of the result produced by the software helps to correct errors in processing and classi cation or in their con rmation (Leinenkugel et al, 2013). In view of this, the treatment accomplished by this tool aims to validate results produced (ISO, 2017) through the reassessment of the same sector (Blundo et al, 2021;Mastrandrea et al, 2010;Nunes et al, 2021). Therefore, when using this tool in evaluating the results generated (ISO, 2017), the producer validates his land use and cover data based on concrete evidence (Mbaru et al, 2021;Morrison et al, 2021;Ozkaynak et al, 2021).…”
Section: Tools To Guarantee the Validity Of Internal Resultsmentioning
confidence: 99%
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“…The rati cation or eld validation of the result produced by the software helps to correct errors in processing and classi cation or in their con rmation (Leinenkugel et al, 2013). In view of this, the treatment accomplished by this tool aims to validate results produced (ISO, 2017) through the reassessment of the same sector (Blundo et al, 2021;Mastrandrea et al, 2010;Nunes et al, 2021). Therefore, when using this tool in evaluating the results generated (ISO, 2017), the producer validates his land use and cover data based on concrete evidence (Mbaru et al, 2021;Morrison et al, 2021;Ozkaynak et al, 2021).…”
Section: Tools To Guarantee the Validity Of Internal Resultsmentioning
confidence: 99%
“…Even, the literature points out that the uncertainty of geospatial data applied in the cluster analysis must be addressed (Costa, 2017;Freire & Castro, 2014). Therefore, the tools to guarantee the validity of internal results (ISO, 2017) help to identify the treatments performed, inferring the e ciency of these treatments, and pointing to mechanisms that help to guarantee the quality of the information to be used in the cluster analysis (Blundo et al, 2021;Loiseau et al, 2021;van Wilgen, 2021). In addition, these tools help identify reliability mechanisms as imperative to increase the quality of mapped information (Brewer et al, 2019;Mahmoud et al, 2021;Sené et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
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“…Based on a global inventory of forest plots with information on relative abundance (Blundo et al 2021), we selected 4,172 species in all main bioregions globally, which we mapped with a combination of geographic polygons and species distribution modelling. We selected the 50 most frequently observed species from each biome (1,987 species) according to available forest plots, and subsequently selected another 2,185 species that co-occur with a species from the first set in at least 50% the forest plots in which it was reported.…”
Section: Species Occupancy and Richness Globally And In Selected Regionsmentioning
confidence: 99%