The landscape infrastructure footprint of oil development: Venezuela's heavy oil belt

被引:15
作者
Baynard, Chris W. [1 ]
机构
[1] Univ N Florida, Dept Econ & Geog, Jacksonville, FL 32224 USA
关键词
Venezuela; Landscape ecology; Infrastructure footprint; GIS and remote sensing; Heavy oil belt; CORPORATE SOCIAL-RESPONSIBILITY; LAND-COVER CHANGE; REMOTE-SENSING TECHNIQUES; TROPICAL DRY FORESTS; ECOLOGICAL FOOTPRINT; HYDROCARBON MICROSEEPAGE; PETROLEUM-EXPLORATION; HABITAT FRAGMENTATION; ROAD; SUSTAINABILITY;
D O I
10.1016/j.ecolind.2010.10.005
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Oil exploration and production activities (CEPA) and other extractive endeavors can create large-scale and permanent landscape alterations through the establishment of infrastructure features such as roads. well pads, pipelines and production facilities. These structures can lead to or increase landscape fragmentation and degradation, reduce biodiversity, disrupt important ecosystem services and attract informal settlements that further alter the landscape, deplete area resources and lead to social conflict. Aside from regulatory standards, many energy (oil and gas) companies include voluntary environmental performance as part of their sustainability reporting. However, they do not account for these site-specific alterations in a systematic, quantifiable and transparent way. This paper proposes a calculation of a modified Landscape Infrastructure Footprint (LIF) of OEPA based on landscape ecology metrics measured via GIS and remote sensing techniques. Three Venezuelan heavy oil belt (HOB) operations were examined with reference to the years 1990 and 2000. Results indicate that Ameriven displayed the smallest LIF. Newer technologies, best practices, land cover, competing economic interests and type of management may explain observed alterations. LIF methods provide four important benefits. First, they can help to reduce surface disturbances by informing planning practices in current as well as in new projects. Second, they fortify environmental reporting by providing objective measures of environmental performance tied to extractive activities. Third, by including LIF in their sustainability practices, extractive industries can improve their competitive advantage. Finally, the LIF helps create a set of transparent environmental performance standards that industry and regulators can adopt in order to measure and monitor landscape alterations resulting from extractive activities. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:789 / 810
页数:22
相关论文
共 140 条
[1]   Remote detection of hydrocarbon microseepage-induced soil alteration [J].
Almeida, R .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (18) :3523-3524
[2]   Terrain characteristics of a tonal anomaly remotely detected in an area of hydrocarbon microseepage, Tucano Basin, north-eastern Brazil [J].
Almeida, R ;
Miranda, FP ;
Galvao, LS ;
Freitas, CC .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (18) :3893-3898
[3]  
Anderson Leslie., 1994, POLITICAL ECOLOGY MO
[4]   Multi-criteria evaluation and least cost path analysis for an arctic all-weather road [J].
Atkinson, DM ;
Deadman, P ;
Dudycha, D ;
Traynor, S .
APPLIED GEOGRAPHY, 2005, 25 (04) :287-307
[5]   Metropolitan land-change science: A framework for research on tropical and subtropical forest recovery in city-regions [J].
Baptista, Sandra R. .
LAND USE POLICY, 2010, 27 (02) :139-147
[6]  
Barnola LF, 2000, BIOCHEM SYST ECOL, V28, P923, DOI 10.1016/S0305-1978(00)00036-3
[7]   Assessing deforestation in the Argentine Chaco [J].
Boletta, Pedro E. ;
Ravelo, Andres C. ;
Planchuelo, Ana M. ;
Grilli, Mariano .
FOREST ECOLOGY AND MANAGEMENT, 2006, 228 (1-3) :108-114
[8]   Energetic implications of disturbance caused by petroleum exploration to woodland caribou [J].
Bradshaw, CJA ;
Boutin, S ;
Hebert, DM .
CANADIAN JOURNAL OF ZOOLOGY, 1998, 76 (07) :1319-1324
[9]   Mapping unofficial roads with Landsat images: a new tool to improve the monitoring of the Brazilian Amazon rainforest [J].
Brandao, AO ;
Souza, CM .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (01) :177-189
[10]   Monitoring 25 years of land cover change dynamics in Africa: A sample based remote sensing approach [J].
Brink, Andreas Bernhard ;
Eva, Hugh Douglas .
APPLIED GEOGRAPHY, 2009, 29 (04) :501-512