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Identifying and Avoiding Sensitive Habitats in Petroleum Operations

机译:识别和避免石油运营中的敏感栖息地

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Defining and understanding the habitats in which a company is operating is a key step toward the reduction of impacts on biodiversity. Identification of vegetation types is a commonly-used method for mapping an area of operations, and these vegetation types are often used as a surrogate for plant and animal habitats, but defining these types too finely may result in limited biological importance of these types for plants and animals, and may complicate the conservation planning process. Instead, habitat maps based on more coarse-scale but biologically important data such as elevation and geologic history can result in more useful maps of plant and animal communities and can lead to better land management during operations. We created habitat maps for Blocks 39 and 57 in northeastern and south central Peru, respectively, using Landsat imagery and elevation data. In Block 39, three different geological formations, or habitat types, were identified in the map, while four were identified in Block 57. In order to confirm that the habitats identified in this study are biologically distinct in terms of plant and animal communities, CCES researchers assessed soil samples and a variety of taxonomic groups including ferns, birds, bats, amphibians and reptiles in each. The protocol requires a minimum of five days sampling for each taxonomic group in a minimum of four different areas within each distinct habitat in order to ensure thorough data collection. We then use this data to test and redefine the boundaries of habitats, and to identify habitats with communities of plants and animals of special conservation concern. In the cases of Blocks 39 and 57, recommendations were made to the company regarding where to avoid or limit operations, in order to reduce negative impacts on special habitats and improve the likelihood and cost-effectiveness of habitat restoration post-operations.
机译:定义和了解公司运营的栖息地是减少对生物多样性影响的关键一步。植被类型是用于映射操作面积的常用方法,这些植被类型通常用作植物和动物栖息地的替代品,但定义这些类型的植物可能导致这些类型的植物生物重要性有限和动物,可能会使保护计划的过程复杂化。相反,基于更粗糙的栖息地地图,但在高度和地质历史之类的生物学上重要数据可以导致植物和动物社区的更有用地图,并且可以在运营期间导致更好的土地管理。我们使用Landsat Imagery和Expation数据分别为东北部和南部中部的街区39和57创建了栖息地地图。在框39中,在地图中鉴定了三种不同的地质形成或栖息地类型,而在框57中鉴定了四种。为了确认本研究中鉴定的栖息地在植物和动物社区方面是生物学上的截然不同研究人员评估了土壤样本和各种分类群,包括蕨类植物,鸟类,蝙蝠,两栖动物和爬行动物。该协议至少需要每次分类学组的至少五天取样,至少在每个不同栖息地内的四个不同区域中,以确保彻底的数据收集。然后,我们使用此数据来测试和重新定义栖息地的界限,并识别与特殊保护关注的植物群群群落的栖息地。在议案39和57的情况下,对公司有关避免或限制运营的职务的建议,以减少对特殊栖息地的负面影响,提高栖息地恢复后的可能性和成本效益。

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