Elevation-based Post-stratification In Atlantic Forest Sampling

dc.creatorCielo-Filho
dc.creatorRoque; Martins
dc.creatorFernando Roberto
dc.date2016
dc.datemaio
dc.date2017-11-13T13:56:43Z
dc.date2017-11-13T13:56:43Z
dc.date.accessioned2018-03-29T06:10:03Z
dc.date.available2018-03-29T06:10:03Z
dc.identifierPhytocoenologia . Gebruder Borntraeger , v. 46, p. 21 - 31, 2016.
dc.identifier0340-269X
dc.identifierWOS:000378364200004
dc.identifier10.1127/phyto/2016/0053
dc.identifierhttps://www.schweizerbart.de/papers/phyto/detail/46/85995/Elevation_based_post_stratification_in_Atlantic_forest_sampling
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/329924
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1366949
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionManagement and restoration of biodiversity hotspots worldwide might benefit from an intensification of sampling effort through the use of larger field plots than usually employed. However, besides being more expensive, small-range elevation variation and the related floristic composition gradient may compromise the desired internal floristic homogeneity in larger field plots. We present a method to remedy these problems, which consists in sampling the field plot and post-stratify the sample if a significant relationship between floristic composition and elevation is present. Location: A 6.5 ha Atlantic forest field plot with an elevational range of 40 m, located in Southeast Brazil (22 degrees 50'S, 46 degrees 55'W). Methods: We sampled the field plot with one hundred 10 m x 10 m sampling units and used Non-metric Multidimensional Scaling to extract significant floristic composition gradients (stems 5 cm DBH). The median score of the axis that presented a statistically significant correlation with elevation was used to stratify the sample into two subsamples. Floristic separation between subsamples was evaluated through Multi-Response Permutation Procedure and the Indicator Value Method. Results: We recorded a total of 1080 living individuals of 119 arboreal species. The NMDS ordination resulted in a final solution with three significant axes of which only one presented a statistically significant correlation with elevation. We found a significant floristic separation between subsamples obtained on the basis of that axis and each subsample presented its own indicator species. Conclusions: Each subsample represents a particular community type and should be considered as an individual plot in the data bank to be used in the investigation of floristic complementarity in the landscape the study area belongs to. The approach proposed here may aid conservation efforts in other biodiversity hotspots, besides the Atlantic forest biome, favoring the definition of conservation programs at the plant community level.
dc.description46
dc.description1
dc.description21
dc.description31
dc.descriptionConselho Nacional de Desenvolvimento Cientifico e Tecnologico - CNPq
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageEnglish
dc.publisherGebruder Borntraeger
dc.publisherStuttgart
dc.relationPhytocoenologia
dc.rightsfechado
dc.sourceWOS
dc.subjectComposition Gradient
dc.subjectFloristic
dc.subjectForest Sampling
dc.subjectPhytosociology
dc.subjectSampling Method
dc.subjectVegetation Survey
dc.titleElevation-based Post-stratification In Atlantic Forest Sampling
dc.typeArtículos de revistas


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