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dc.contributor.authorLandeiro, Victor Lemes-
dc.contributor.authorBini, Luis Mauricio-
dc.contributor.authorCosta, Flávia Regina Capellotto-
dc.contributor.authorFranklin, E.-
dc.contributor.authorNogueira, Anselmo-
dc.contributor.authorSouza, Jorge Luiz Pereira-
dc.contributor.authorMoraes, Jamile-
dc.contributor.authorMagnusson, William Ernest-
dc.date.accessioned2020-06-15T21:50:31Z-
dc.date.available2020-06-15T21:50:31Z-
dc.date.issued2012-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/17965-
dc.description.abstractThe need for biodiversity conservation is increasing at a rate much faster than the acquisition of knowledge of biodiversity, such as descriptions of new species and mapping species distributions. As global changes are winning the race against the acquisition of knowledge, many researchers resort to the use of surrogate groups to aid in conservation decisions. Reductions in taxonomic and numerical resolution are also desirable, because they could allow more rapid the acquisition of knowledge while requiring less effort, if little important information is lost. In this study, we evaluated the congruence among 22 taxonomic groups sampled in a tropical forest in the Amazon basin. Our aim was to evaluate if any of these groups could be used as surrogates for the others in monitoring programs. We also evaluated if the taxonomic or numerical resolution of possible surrogates could be reduced without greatly reducing the overall congruence. Congruence among plant groups was high, whereas the congruence among most animal groups was very low, except for anurans in which congruence values were only slightly lower than for plants. Liana (Bignoniaceae) was the group with highest congruence, even using genera presence-absence data. The congruence among groups was related to environmental factors, specifically the clay and phosphorous contents of soil. Several groups showed strong spatial clumping, but this was unrelated to the congruence among groups. The high degree of congruence of lianas with the other groups suggests that it may be a reasonable surrogate group, mainly for the other plant groups analyzed, if soil data are not available. Although lianas are difficult to count and identify, the number of studies on the ecology of lianas is increasing. Most of these studies have concluded that lianas are increasing in abundance in tropical forests. In addition to the high congruence, lianas are worth monitoring in their own right because they are sensitive to global warming and the increasing frequency and severity of droughts in tropical regions. Our findings suggest that the use of data on surrogate groups with relatively low taxonomic and numerical resolutions can be a reliable shortcut for biodiversity assessments, especially in megadiverse areas with high rates of habitat conversion, where the lack of biodiversity knowledge is pervasive. © 2012 Elsevier Ltd. All rights reserved.en
dc.language.isoenpt_BR
dc.relation.ispartofVolume 23, Pags. 366-373pt_BR
dc.rightsRestrito*
dc.subjectAmazoniaen
dc.subjectCongruenceen
dc.subjectMantelen
dc.subjectSpatial Patternsen
dc.subjectSurrogate Groupsen
dc.subjectConservationen
dc.subjectForestryen
dc.subjectGlobal Warmingen
dc.subjectPhosphorusen
dc.subjectBiodiversityen
dc.subjectAssessment Methoden
dc.subjectBiodiversityen
dc.subjectBiomonitoringen
dc.subjectConservation Managementen
dc.subjectData Seten
dc.subjectDecision Makingen
dc.subjectFrogen
dc.subjectGlobal Changeen
dc.subjectGlobal Warmingen
dc.subjectPhosphorusen
dc.subjectResolutionen
dc.subjectSpatial Analysisen
dc.subjectSurrogate Methoden
dc.subjectTaxonomyen
dc.subjectVineen
dc.subjectBiodiversityen
dc.subjectConservationen
dc.subjectForestsen
dc.subjectInformation Retrievalen
dc.subjectPhosphorusen
dc.subjectTropicsen
dc.subjectAmazon Basinen
dc.subjectAnimalsiaen
dc.subjectAnuraen
dc.subjectBignoniaceaeen
dc.titleHow far can we go in simplifying biomonitoring assessments? An integrated analysis of taxonomic surrogacy, taxonomic sufficiency and numerical resolution in a megadiverse regionen
dc.typeArtigopt_BR
dc.identifier.doi10.1016/j.ecolind.2012.04.023-
dc.publisher.journalEcological Indicatorspt_BR
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