One Step Beyond: Managing Areas of High Biodiversity Value
Bibliographic record
Abstract
One Step Beyond: Managing Areas of High Biodiversity Value Stephen Macklin; Stephen Macklin Shell International EP B.V. Search for other works by this author on: This Site Google Scholar Sachin Kapila; Sachin Kapila Shell International Ltd Search for other works by this author on: This Site Google Scholar Jan Hartog Jan Hartog Shell International EP B.V. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. Paper Number: SPE-86577-MS https://doi.org/10.2118/86577-MS Published: March 29 2004 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Macklin, Stephen, Kapila, Sachin, and Jan Hartog. "One Step Beyond: Managing Areas of High Biodiversity Value." Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. doi: https://doi.org/10.2118/86577-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability Search Advanced Search Abstract The scientific consensus is that biodiversity is under increasing threat from habitat loss, climate change and pollution. The challenge to protect areas of high biodiversity value is gaining profile and the issue is not going to go away. Increasingly, society is expecting the oil/gas industry to make a broader contribution to solving the issue and increasingly industry wants to make that contribution. Hydrocarbon resources required to meet future demand for affordable energy are often located in protected or sensitive areas, which can give rise to tensions around competing land use.At the heart of the issue is the call to establish a universal system of protected areas. Protected areas was a key theme at the World Parks Congress in September 2003 and will also feature in the 7th Conference of the Parties to the UN Convention on Biological Diversity (CBD) in February 2004.Government signatories to the CBD are required to establish areas to protect biodiversity as part of their obligations under international law. There are a number of global systems for designating protected areas. World Heritage Sites are designed to protect areas of outstanding universal value and are also part of government's international obligations. Oil and gas activities are not considered compatible with the objectives of such sites. The UN List of National Parks and Protected Areas is classified into six categories by the World Conservation Union (IUCN). The Category System was not designed to define where industry should and should not operate, but is increasingly being used to determine land use options, although this system lacks the clear rules and procedures that characterise the World Heritage Convention. Then there are other protected areas systems such as Ramsar (for wetlands) or man and biosphere reserves. Governments may also put in place regional or national regulatory frameworks such as the European Union Habitats and Birds Directives (Natura 200 sites). Less formal are areas or regions that have been prioritised by various conservation organisations - these differ according to the criteria used by the organisation.There is a lack of trust between the conservation community and business. Some NGOs are willing to engage, but are coming under pressure to deliver benefits to conservation. Others are more adversarial. Financial institutions are also enquiring about company policy with respect to operating in protected areas.All these factors will affect us. We therefore need to position ourselves to manage this issue in the long term. The paper will outline the case for action, the recent developments within and key challenges faced by the Shell Group - particularly Shell EP, and the key features of its approach. Keywords: biodiversity value, sustainability, stakeholder, programme, positive contribution, social responsibility and development, partnership, objective, world heritage site, conservation Subjects: Sustainability/Social Responsibility, Social responsibility and development Copyright 2004, Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".