Phytogeographic retrospective in ecotonal areas guided by soil attributes
| Autor: | A. M. da Silva, D. E. Stott, Clayton Alcarde Alvares, T. Monteiro |
|---|---|
| Přispěvatelé: | Universidade Estadual Paulista (Unesp), Forestry Sci & Res Inst IPEF, FPC, Purdue Univ |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Vegetation re-establishment
geography Environmental Engineering geography.geographical_feature_category Soil test Ecology Biome Forestry Vegetation Ecotone Pasture Soil database Degraded soils Soil water Environmental Chemistry Ecosystem General Agricultural and Biological Sciences Pristine forest soil |
| Zdroj: | Web of Science Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| Popis: | Made available in DSpace on 2018-11-26T15:27:44Z (GMT). No. of bitstreams: 0 Previous issue date: 2015-09-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Re-establishing deforested ecosystems to pre-settlement vegetation is difficult, especially in ecotonal areas, due to lack of knowledge about the original physiognomy. Our objective was to use a soils database that included chemical and physical parameters to distinguish soil samples of forest from those of savannah sites in a municipality located in the southeastern Brazil region. Discriminant analysis (DA) was used to determine the original biome vegetation (forest or savannah) in ecotone regions that have been converted to pasture and are degraded. First, soils of pristine forest and savannah sites were tested, resulting in a reference database to compare to the degraded soils. Although the data presented, in general had a high level of similarity among the two biomes, some differences occurred that were sufficient for DA to distinguish the sites and classify the soil samples taken from grassy areas into forest or savannah. The soils from pastured areas presented quality worse than the soils of the pristine areas. Through DA analysis we observed that, from seven soil samples collected from grassy areas, five were most likely originally forest biome and two were savannah, ratified by a complementary cluster analysis carried out with the database of these samples. The model here proposed is pioneer. However, the users should keep in mind that using this technology, i.e., establishing a regional-level database of soil features, using soil samples collected both from pristine and degraded areas is critical for success of the project, especially because of the ecological and regional particularities of each biome. Sao Paulo State Univ, BR-18087180 Sorocaba, SP, Brazil Forestry Sci & Res Inst IPEF, Piracicaba, SP, Brazil FPC, Piracicaba, SP, Brazil Purdue Univ, USDA ARS, Natl Soil Eros Res Lab, W Lafayette, IN 47907 USA Sao Paulo State Univ, BR-18087180 Sorocaba, SP, Brazil |
| Databáze: | OpenAIRE |
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