Identifying and Avoiding Sensitive Habitats in Petroleum Operations

作者: Alfonso Alonso , Marcel Costa Faura , Mark A. Higgins , Farah Carrasco Rueda , Jessica Deichmann

DOI: 10.2118/165635-MS

关键词: Sampling (statistics)Restoration ecologyElevationEcologyHabitatBiodiversityGeographyLand managementTaxonomic rankIdentification (biology)

摘要: Defining and understanding the habitats in which a company is operating key step toward reduction of impacts on biodiversity. Identification vegetation types commonly-used method for mapping an area operations, these are often used as surrogate plant animal habitats, but defining too finely may result limited biological importance plants animals, complicate conservation planning process. Instead, habitat maps based more coarse-scale biologically important data such elevation geologic history can useful communities lead to better land management during operations. We created Blocks 39 57 northeastern south central Peru, respectively, using Landsat imagery data. In Block 39, three different geological formations, or types, were identified map, while four 57. order confirm that this study distinct terms communities, CCES researchers assessed soil samples variety taxonomic groups including ferns, birds, bats, amphibians reptiles each. The protocol requires minimum five days sampling each group areas within ensure thorough collection. then use test redefine boundaries identify with animals special concern. cases 57, recommendations made regarding where avoid limit reduce negative improve likelihood cost-effectiveness restoration post-operations.

参考文章(11)
D. Geneletti, Ecological evaluation for environmental impact assessment ITC Dissertation. ,vol. 91, ,(2002)
Jessica L. Deichmann, Albertina P. Lima, G. Bruce Williamson, Effects of Geomorphology and Primary Productivity on Amazonian Leaf Litter Herpetofauna Biotropica. ,vol. 43, pp. 149- 156 ,(2011) , 10.1111/J.1744-7429.2010.00683.X
Mark A Higgins, Kalle Ruokolainen, Hanna Tuomisto, Nelly Llerena, Glenda Cardenas, Oliver L Phillips, Rodolfo Vásquez, Matti Räsänen, None, Geological control of floristic composition in Amazonian forests. Journal of Biogeography. ,vol. 38, pp. 2136- 2149 ,(2011) , 10.1111/J.1365-2699.2011.02585.X
Mark A. Higgins, Gregory P. Asner, Eneas Perez, Nydia Elespuru, Hanna Tuomisto, Kalle Ruokolainen, Alfonso Alonso, Use of landsat and SRTM data to detect broad-scale biodiversity patterns in Northwestern Amazonia Remote Sensing. ,vol. 4, pp. 2401- 2418 ,(2012) , 10.3390/RS4082401
R. A. HILL, G. M. FOODY, Separability of tropical rain-forest types in the Tambopata-Candamo Reserved Zone, Peru International Journal of Remote Sensing. ,vol. 15, pp. 2687- 2693 ,(1994) , 10.1080/01431169408954276
H. TUOMISTO, A. L1NNA, R. KALLIOLA, Use of digitally processed satellite images in studies of tropical rain forest vegetation International Journal of Remote Sensing. ,vol. 15, pp. 1595- 1610 ,(1994) , 10.1080/01431169408954194
Mirkka M. Jones, Simon Ferrier, Richard Condit, Glenn Manion, Salomon Aguilar, Rolando Pérez, Strong congruence in tree and fern community turnover in response to soils and climate in central Panama Journal of Ecology. ,vol. 101, pp. 506- 516 ,(2013) , 10.1111/1365-2745.12053
Lars Y. Pomara, Kalle Ruokolainen, Hanna Tuomisto, Kenneth R. Young, Avian Composition Co‐varies with Floristic Composition and Soil Nutrient Concentration in Amazonian Upland Forests Biotropica. ,vol. 44, pp. 545- 553 ,(2012) , 10.1111/J.1744-7429.2011.00851.X
José Álvarez Alonso, Margaret R. Metz, Paul V. A. Fine, Habitat Specialization by Birds in Western Amazonian White‐sand Forests Biotropica. ,vol. 45, pp. 365- 372 ,(2013) , 10.1111/BTP.12020