scholarly journals Assessing the trade-offs between timber supply and wildlife protection goals in boreal landscapes

2019 ◽  
pp. 243-258 ◽  
Author(s):  
Denys Yemshanov ◽  
Robert G. Haight ◽  
Ning Liu ◽  
Marc-André Parisien ◽  
Quinn Barber ◽  
...  
Keyword(s):  
Environmental Sustainability ◽  
Oil And Gas ◽  
Programming Model ◽  
Unit Cost ◽  
Timber Harvest ◽  
Timber Supply ◽  
Protection Measures ◽  
Habitat Protection ◽  
Trade Offs ◽  
The Impact

Protecting wildlife within areas of resource extraction often involves reducing habitat fragmentation. In Canada, protecting threatened woodland caribou (Rangifer tarandus caribou (Gmelin, 1788)) populations requires preserving large areas of intact forest habitat, with some restrictions on industrial forestry activities. We present a linear programming model that assesses the trade-off between achieving an objective of habitat protection for caribou populations while maintaining desired levels of harvest in forest landscapes. The habitat-protection objective maximizes the amount of connected habitat that is accessible by caribou, and the forestry objective maximizes net revenues from timber harvest subject to even harvest flow, a harvest target, and environmental sustainability constraints. We applied the model to explore the habitat protection and harvesting scenarios in the Cold Lake caribou range, a 6726 km2 area of prime caribou habitat in Alberta, Canada. We evaluated harvest scenarios ranging from 0.1 Mm3·year–1 to maximum sustainable harvest levels over 0.7 Mm3·year–1 and assessed the impact of habitat protection measures on timber supply costs. Protecting caribou habitat by deferring or reallocating harvest increases the timber unit cost by Can$1.1–2.0 m–3. However, this impact can be partially mediated by extending the harvest to areas of oil and gas extraction to offset forgone harvest in areas of prime caribou habitat.

scholarly journals The Impact of Forest Management Restrictions on Aspen Harvest Levels and Forest Structure in Itasca County, Minnesota

1999 ◽  
Vol 16 (4) ◽  
pp. 177-184
Author(s):  
Joan M. Nichols ◽  
Dietmar W. Rose ◽  
Syed A. Husain
Keyword(s):  
Forest Structure ◽  
Management Policy ◽  
Forest Composition ◽  
Timber Supply ◽  
Trade Offs ◽  
Long Run ◽  
Spatial Attributes ◽  
Management Policies ◽  
The Impact ◽  
Selection Of

Abstract Potential management policies of the Minnesota Department of Natural Resources (MDNR) designed to enhance nontimber values were examined to estimate their impact on permissible harvest levels, forest composition and spatial attributes of aspen in Itasca County, Minnesota. An allowable cut equal to the Long Run Sustained Yield (LRSY) was estimated and used as the target harvest level for each management policy. Results were analyzed in a number of ways including Geographic Information Systems (GIS). The study illustrates that the selection of specific management policies can have significant impacts on timber supply as well as forest structures. Therefore, any suggested policy should always be reviewed for its potential impacts and associated trade-offs before implementation. North. J. Appl. For. 16(4):177-184.

A Simulation/Linear Programming Approach to Timber Supply Modeling

1989 ◽  
Vol 4 (3) ◽  
pp. 80-84 ◽  
Author(s):  
William McKillop ◽  
Bruce Krumland
Keyword(s):  
Linear Programming ◽  
Programming Model ◽  
Timber Harvest ◽  
Growth And Yield ◽  
Programming Approach ◽  
Forest Industry ◽  
Timber Supply ◽  
Inventory Constraints ◽  
Stand Type ◽  
Time Subject

Abstract A growth and yield simulator was combined with a forest inventory processor and a linear programming model to analyze and project timber inventory, growth and harvest for industrial and nonindustrial lands in each of five regions in California. Harvest priorities for each stand type were chosen by maximization of conifer output over alternative periods of time subject to volume, species, and inventory constraints. Results indicated that timber harvest from forest industry land would decline in the next several decades, but that this decline would be offset by increased output from nonindustrial holdings. A substantial buildup of hardwood inventories on small private ownerships is anticipated. West. J. Appl. For. 4(3):80-84, July 1989.

Using salvage logging and tolerance to risk to reduce the impact of forest fires on timber supply calculations

2015 ◽  
Vol 45 (4) ◽  
pp. 480-486 ◽  
Author(s):  
A. Leduc ◽  
P.Y. Bernier ◽  
N. Mansuy ◽  
F. Raulier ◽  
S. Gauthier ◽  
...  
Keyword(s):  
Forest Fires ◽  
Timber Harvest ◽  
Mitigation Measures ◽  
Class Structure ◽  
Forest Age ◽  
Timber Supply ◽  
Salvage Logging ◽  
Age Class ◽  
Burn Rate ◽  
The Impact

It is acknowledged that natural forest fires cannot and even should not be eliminated from the North American boreal forest. Forest fires produce immediate losses of wood volume, disrupt the conversion of the actual forest age structure into a target structure, and prevent planned timber supply (PTS) levels from being achieved. In this paper, we explore the extent to which periodic shortfalls in available timber under various burn rates can be mitigated through salvage logging and the tolerance of forest managers to a given level of shortfall, both as a function of forest age class structure. Simulations are done using both a deterministic and a stochastic representation of burn rate over time. Results show that the frequency of shortfall events can be reduced by salvage logging and by the introduction of measures that generate a tolerance to shortfall and that this mitigation potential is influenced by initial forest age class structure and burn rate. Results also show that even a 100% rate of salvage logging cannot fully compensate for timber losses to fire and eliminate fire-induced timber shortfalls. Furthermore, interannual burn rate variability reduces the efficiency of both mitigation measures. As the PTS is never realized under fire risk, the real cost of opting for different PTS scenarios should be estimated not from the difference in PTS but rather from the more realistic difference in realized timber harvest.

scholarly journals The impact of oil companies’ sustainability on environmental safety

2021 ◽  
Vol 937 (2) ◽  
pp. 022079
Author(s):  
E Markovskaya ◽  
N Nikolaishvili ◽  
P Kashperyuk
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Environmental Sustainability ◽  
Oil And Gas ◽  
Environmental Safety ◽  
Environmental Indicators ◽  
Oil Companies ◽  
Corporate Social ◽  
Oil And Gas Companies ◽  
The Impact

Abstract The pandemic has significantly worsened the situation of oil and gas companies, causing a decline in demand and prices on the global energy market. In this crisis situation, there is an urgent need to review the organizational activities of companies, within which there is an interest in studying the impact of corporate social responsibility on the sustainability of companies and their environmental safety. Despite a sufficient number of empirical works studying the impact of corporate social responsibility on environmental indicators, there are not enough works in foreign and domestic literature studying this relationship on the example of the oil and gas industry. The purpose of this work is to determine the impact of corporate social responsibility on the environmental sustainability of oil and gas companies. The object of this study is corporate social responsibility, and the subject is the impact of corporate social responsibility on the sustainability of oil and gas companies.

Modeling Production Facilities Using Conventional Process Simulators and Data Validation and Reconciliation DVR Methodology

2021 ◽  
Author(s):  
Tom Mooney ◽  
Kelda Bratley ◽  
Amin Amin ◽  
Timothy Jadot
Keyword(s):  
Process Model ◽  
Oil And Gas ◽  
Process Models ◽  
Added Value ◽  
Quality Data ◽  
Data Validation ◽  
Measured Variable ◽  
Conventional Process ◽  
Trade Offs ◽  
The Impact

Abstract The use of conventional process simulators is commonplace for system design and is growing in use for online monitoring and optimization applications. While these simulators are extremely useful, additional value can be extracted by combining simulator predictions with field inputs from measurement devices such as flowmeters, pressure and temperature sensors. The statistical nature of inputs (e.g., measurement uncertainty) are typically not considered in the forward calculations performed by the simulators and so may lead to erroneous results if the actual raw measurement is in error or biased. A complementary modeling methodology is proposed to identify and correct measurement and process errors as an integral part of a robust simulation practice. The studied approach ensures best quality data for direct use in the process models and simulators for operations and process surveillance. From a design perspective, this approach also makes it possible to evaluate the impact of uncertainty of measured and unmeasured variables on CAPEX spend and optimize instrument / meter design. In this work, an extended statistical approach to process simulation is examined using Data Validation and Reconciliation, (DVR). The DVR methodology is compared to conventional non-statistical, deterministic process simulators. A key difference is that DVR uses any measured variable (inlet, outlet, or in between measurements), including its uncertainty, in the modelled process as an input, where only inlet measurement values are used by traditional simulators to estimate the values of all other measured and unmeasured variables. A walk through the DVR calculations and applications is done using several comparative case studies of a typical surface process facility. Examples are the simulation of commingled multistage oil and gas separation process, the validation of separators flowmeters and fluids samples, and the quantification of unmeasured variables along with their uncertainties. The studies demonstrate the added value from using redundancy from all available measurements in a process model based on the DVR method. Single points and data streaming field cases highlight the dependency and complementing roles of traditional simulators, and data validation provided by the DVR methodology; it is shown how robust measurement management strategies can be developed based on DVR's effective surveillance capabilities. Moreover, the cases demonstrate how DVR-based capex and opex improvements are derived from effective hardware selection using cost versus measurement precision trade-offs, soft measurements substitutes, and from condition-based maintenance strategies.

scholarly journals The impact of fire on timber supply in Ontario

1994 ◽  
Vol 70 (2) ◽  
pp. 164-173 ◽  
Author(s):  
David L. Martell
Keyword(s):  
Forest Fire ◽  
Fire Management ◽  
Timber Harvest ◽  
Fire Regimes ◽  
Harvest Scheduling ◽  
Administrative District ◽  
Timber Supply ◽  
Forest Fire Management ◽  
Northwestern Region ◽  
The Impact

Results are presented for an assessment of the impact of fire on timber supply in the province of Ontario. Historical fire report data are used to develop statistical summaries of fire regimes in terms of annual fire occurrence and area burned by administrative district and region. A simple hypothetical jack pine forest is used to illustrate how forest level timber harvest scheduling models can be employed to assess the timber supply implications of fire management regimes. Although fire may have had a significant detrimental impact on timber supply in some parts of the Northwestern region during the 1976-88 period, the effectiveness of Ontario's forest fire management system is such that timber supply in most districts has not been significantly diminished by fire. The results of our timber supply analysis, and the fact that fire management also benefits public safety and reduces property loss, suggest forest fire management is profitable in Ontario. Key words: forest fire impact, timber supply, mathematical programming, Ontario

scholarly journals Designing a Sustainable Development Goal Index through a Goal Programming Model: The Case of EU-28 Countries

2018 ◽  
Vol 10 (9) ◽  
pp. 3167 ◽  
Author(s):  
Francisco Guijarro ◽  
Juan Poyatos
Keyword(s):  
Sustainable Development ◽  
Goal Programming ◽  
Environmental Sustainability ◽  
Programming Model ◽  
Composite Index ◽  
Political Agenda ◽  
The Sustainable Development ◽  
Trade Offs ◽  
Goal Programming Model ◽  
Promote Gender Equality

The 17 Sustainable Development Goals (SDGs) adopted by the United Nations are at the center of the global political agenda to eradicate extreme poverty, achieve universal education, promote gender equality and ensure environmental sustainability between others. These goals are organised in 169 indicators, which give an accurate perspective on the main dimensions related with country sustainable development. To gain insight into the relative position of involved countries, it is necessary to develop a composite index that summarises the global progress in the achievement of these goals, but considering possible conflicts and trade-offs between individual SDGs. The objective of this paper is to introduce a Goal Programming model to calculate a composite SDG index, capable of overcoming some of the limitations of celebrated approaches such as arithmetic and geometric averages. The proposed model balances between two extreme solutions: one which calculates a consensus index that reflects the majority trend of the SDGs, and another one which biases the estimated index towards those SDGs that show the most discrepancy with the rest. The model is applied on the EU-28 countries, and shows that the best performing countries regarding the sustainable development are Austria and Luxembourg, while Greece and Romania remain as the worst performers.

Consideration of Geopolitical Challenges within the Analysis of Geoenvironmental Risks for Oil and Gas Development of the Russian Arctic

2019 ◽  
Vol 16 (6) ◽  
pp. 50-59
Author(s):  
O. P. Trubitsina ◽  
V. N. Bashkin
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Optimal Operation ◽  
The Arctic ◽  
Stage Model ◽  
Oil And Gas Development ◽  
Gas Industry ◽  
The Impact ◽  
Further Development ◽  
Geopolitical Risks

The article is devoted to the consideration of geopolitical challenges for the analysis of geoenvironmental risks (GERs) in the hydrocarbon development of the Arctic territory. Geopolitical risks (GPRs), like GERs, can be transformed into opposite external environment factors of oil and gas industry facilities in the form of additional opportunities or threats, which the authors identify in detail for each type of risk. This is necessary for further development of methodological base of expert methods for GER management in the context of the implementational proposed two-stage model of the GER analysis taking to account GPR for the improvement of effectiveness making decisions to ensure optimal operation of the facility oil and gas industry and minimize the impact on the environment in the geopolitical conditions of the Arctic.The authors declare no conflict of interest

Effective service delivery through quality management system (QMS) in oil and gas servicing companies, a case study of selected firms, Port Harcourt

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Quality Management ◽  
Service Delivery ◽  
Management System ◽  
Oil And Gas ◽  
Quality Management System ◽  
Local Content ◽  
Port Harcourt ◽  
Test Of Hypotheses ◽  
The Impact ◽  
Effective Service

This study investigated the impact of Quality Management System (QMS) on effective service delivery in Oil and Gas Servicing Companies in selected firms in Port Harcourt, Nigeria. The opinion of 50 respondents were sampled using questionnaires, interviews as well as observation from journals and texts used in this work to examine the Quality Management System (QMS) of the selected firms. Using simple percentages and the Chi-square (X2) test of hypotheses, it was hypothetically established that the implementation of QMS practices, has impacted the work process, procedure and improvement on quality over the years in the Oil and Gas Servicing companies in Port Harcourt Nigeria. The research identified an adopted use of Failure Mode and Effect Analysis (FMEA) tool as a continual quality improvement initiative developed in the local content oil and gas servicing operation for equipment handling, management and to drive sustained improved performance quality processes as a key driver of a progressive that will place local content companies as an options for producing companies and at par with multinational oil and gas companies.

The Impact of Oil Price Fluctuations on Industry Stock Returns: Evidence from International Markets

2018 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Elias Randjbaran ◽  
Reza Tahmoorespour ◽  
Marjan Rezvani ◽  
Meysam Safari
Keyword(s):  
Stock Returns ◽  
Oil And Gas ◽  
Negative Relationship ◽  
The United States ◽  
Oil Price ◽  
Price Variation ◽  
Price Changes ◽  
Price Fluctuations ◽  
Food And Beverage ◽  
The Impact

This study investigates the impact of oil price variation on 14 industries in six markets, including Canada, China, France, India, the United Kingdom, and the United States. Panel weekly data were collected from June 1998 to December 2011. The results indicate that price fluctuations primarily affect the Oil and Gas as well as the Mining industries and have the least influence on the Food and Beverage industry. Furthermore, in three out of six of these countries (Canada, France, and the U.K.), oil price changes negatively affect the Pharmaceutical and Biotechnology industry. One possible reason for the negative relationship between oil price changes and the Pharmaceutical and Biotechnology industries in the above-mentioned countries is that the governments of these countries fund their healthcare systems. Portfolio managers and investors will find the results of this study useful because it enables adjusting portfolios based on knowledge of the industries that are impacted the most or the least by oil price fluctuations.

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