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Multi-criteria Decision Making based on AHP and ANP for Sustainable Timber Production and Harvesting in the Forest Ranges of Yamunanagar District, Haryana, India
Anuradha , Sandeep Gupta
Abstract
Sustainable timber harvesting is necessary to protect tree stands and to maintain a supply-demand ratio of timber wood. In this study, a pilot test followed by a questionnaire-based ground survey in 2016-17 for a decision problem of sustainable timber production and harvesting (STPH) was conducted between the communities residing along the fringes of four forest ranges of Yamunanagar districts of Haryana, India. The responses are analyzed and preferences are developed using the two multi-criteria decision-making methods (MCDMs), analytical hierarchy process (AHP) and analytical network process (ANP). For prioritization, 3 criteria, 6 indicators and 4 alternatives for each indicator is used in the ‘Super Decisions software’. The result signifies a top prioritization of STPH having the highest weight of 0.379 (AHP) and 0.382 (ANP), followed by a weight of 0.368 (AHP) and 0.371 (ANP) in forest health and vitality and then 0.261 (AHP) and 0.262 (ANP) in timber economy. The assumption and respondents' feedback showed that there is plenty of scope for timber plantation and harvesting in the Sadhaura range. For this, agro forestry can be a valid option. The survey revealed that there is a loss in forest cover due to forest fire, flooding, and illegal mining of sand and stone in the Jagadhari range and therefore it needs maximum attention to maintain its forest health and vitality. On a similar note, the Chhachhrauli forest range contains the least growing stock and therefore there is a need to maintain the stand statistic and logwood stock. Most of the area of the Kalesar forest range is under a wildlife sanctuary and national park. Therefore, forest cover and density are highest in Kalesar leading to a high growing stock, minimum harvesting, and good forest health and vitality, which in turn is reflected in its weight. This study shows that a sustainable timber management plan can be implemented if the data, survey, respondents' feedback, and the AHP- and ANP-based result is added into it. This will not only increase the forest cover and density but will also boost the socio-economy in the study area. 
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References
A. Mendoza; Goal programming formulations and extensions: an overview and analysis, Canadian Journal of Forest Research, 17(7) 575-581 (1987).
Amare; Eucalyptus Farming in Ethiopia: The Case of Eucalyptus Farm and Village Woodlots in Amhara Region, In: Proceedings of the Conference on Eucalyptus Species Management: History, Status and Trends in Ethiopia, 15–17 (2010).
Ananda; G. Herath; Evaluating Public Risk Preferences in Forest Land-Use Choices Using Multi-Attribute Utility Theory, Ecolgical Economics, 55 (3) 408-419 (2005).
Aragonés-Beltrán; F. Chaparro-González; J. P. Pastor-Ferrando; F. Rodríguez-Pozo; An ANP-based Approach for the Selection of Photovoltaic Solar Power Plant Investment Projects, Renewable and Sustainable Energy Reviews, 14 (1) 249-264 (2010).
B. Ogunwale; A. R. Ayoade; S. O. Ayansina; Impact of extension Service on farmers production activities in Ogbomoso agricultural zone of Oyo State, Nigeria, Journal of Agricultural Extension, 9 143-149 (2006).
Bahurmoz; Selecting Sites For Community Colleges Across The Kingdom of Saudi Arabia: An Application of The Analytic Hierarchy Process, Proc. Fifth Internet. Symposium. Analytic Hierarchy Process. Kobe, Japan (1999).
Bahurmoz; The Analytic Hierarchy Process at Dar Al-Hekmah, Saudi Arabia. Interfaces, 33 (4) 70-78 (2003).
Buongiorno; N. H. Svanquist; A Separable Goal Programming Model of The Indonesian Forestry Sector, Forest Ecology and Management, 4 (1) 67-78 (1982).
Camara-Leret; M. A. Fortuna; J. Bascompte; Indigenous knowledge networks in the face of global change, PNAS, 116 (20) 9913–9918 (2019).
Carlsson; P. Walden; AHP in Political Group Decisions: A Study in The Art of Possibilities and Interfaces, INFORMS, 25 (4) 14-29 (1995).
CBD; Linking Biodiversity Conservation and Poverty Alleviation: A State of Knowledge Review, CBD Technical Series 55. Montreal, Canada, Secretariat of the Convention On Biological Diversity (2010). https://www.Cbd.Int/Doc/Publications/Cbd-Ts-55-En.pdf
Cheng; K. Mattor; Why Won’t They Come? Stakeholder Perspectives on Collaborative National Forest Planning by Participation Level, Environmental Management, 38 (4) 545-561 (2006).
D. Allen; A. K. Macalady; H. Chenchouni; D. Bachelet; N. McDowell; M. Vennetier; E. H. T. Hogg; A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests, Forest Ecology and Management, 259 (4) 660–684 (2010).
D. Sunderlin; A. Angelsen; B. Belcher; P. Burgers; R. Nasi; L. Santoso; S. Wunder; Livelihoods, forest, and conservation in developing countries: an overview, World Development, 33 (9) 1383–1402 (2005).
Diaz-Balteiro; C. Romero; Combined use of goal programming and the Analytic Hierarchy Process in forest management, In: D. L. Schmoldt; J. Kangas; G. A. Mendoza; M. Pesonen; (Eds.). The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making. Managing Forest Ecosystems, Springer, Dordrecht, 3 (2001).
Directorate of Census Operations, Haryana; District Census Handbook, Yamunanagar, Series-07, XII-A (2011).
F. Lambin; P. Meyfroidt; Global Land Use Change, Economic Globalization, and The Looming Land Scarcity, PNAS, 108 (9) 3465–3472 (2001).
FAO; Global Forest Resources Assessment 2020: Main report, Rome (2020).
Forest Stewardship Council; Strategic Review on the Future of Forest Plantations, Indufor Oy: Helsinki, Finland, 121 (2012).
G. A. Mendoza; G. E. Campbell; G. L. Rolfe; Multiple Objective Programming: An approach to planning and evaluation of agroforestry systems: Part 2 – An illustrative example and analysis, Agricultural Systems, 23 1-18 (1987).
G. A. Mendoza; H. Martins; Multi-Criteria Decision Analysis in Natural Resource Management: A Critical Review of Methods and New Modelling Paradigms, Forest Ecology and Management, 230 (1-3) 1-22 (2006).
G. A. Mendoza; M. Pesonen; (Eds.). The Analytic Hierarchy Process in natural resource and environmental decision making. Managing Forest Ecosystems, Dordrecht Kluwer Academic Publishers, 3 81-95 (2001).
G. A. Mendoza; W. Sprouse; Forest Planning and Decision Making Under Fuzzy Environments: An Overview and Illustrations, Forest Science, 35 (2) 481-502 (1989).
G. B. Bonan; Forests and climate change: Forcings, feedbacks, and the climate benefits of forests, Science, 320 (5882) 1444–1449 (2008).
G. Eyrich; Benchmarking to become the best of breed, Manufacturing Systems, 40-47(1991).
Gilliams; D. Raymaekers; B. Muys; J. Orshoven; Comparing multiple criteria decision methods to extend a geographical information system on afforestation, Computers and Electronics in Agriculture, 49 (1) 142-158 (2005).
Gunter; E. Armin; P. Dietmar; Quantitative Win: A New Method For Decision Support in Requirements Negotiation, ACM International Conference Proceeding Series, Proceedings of The 14th International Conference On Software and Knowledge Engineering, Ischia, Italy, 159-166 (2002).
H. Dale; L. A. Joyce; S. McNulty; R. P. Neilson; M. P. Ayres; M. D. Flannigan; P. J. Hanson; L. C. Irland; A. E. Lugo; C. J. Peterson; Climate Change and Forest Disturbances: Climate change can affect forests by altering the frequency, intensity, duration, and timing of fire, drought, introduced species, insect and pathogen outbreaks, hurricanes, windstorms, ice storms, or landslides, BioScience, 51 (9) (2001).
H. Reid; S. Huq; Climate Change-Biodiversity and Livelihood Impacts. In: C. Robledo; M. Kanninen; L. Pedroni; (Eds.). Tropical Forests and Adaptation To Climate Change, Bogor, Indonesia, CIFOR. 57-70 (2005).
I. Millar; N. L. Stephenson; S. L. Stephens; Climate change and forests of the future: Managing in the face of uncertainty, Ecological Applications, 17 (8) 2145–2151 (2007).
IMF; World Economic Outlook: A Long and Difficult Ascent. Washington, DC, October (2020).
ITTO; Biennial Review and Assessment of The World Timber Situation (2017-2018), International tropical timber organization (2020). https://www.itto.int/biennal_review
ITTO; Status of Tropical Forest Management 2005, ITTO Technical Series No 24, (2006).
J. Bonano; G. E. Apostolakis; P. F. Salter; A. Ghassemi; S. Jennings; Application or risk assessment and decision analysis to the evaluation, ranking and selection of environmental remediation alternatives, Journal of Hazardous Materials 71, 35-57 (2000).
J. Kangas; A. Kangas; P. Leskinen; J. Pykäläinen; MCDM Methods in Strategic Planning of Forestry on State-Owned Lands in Finland: Applications and Experiences, Journal of Multi-Criteria Decision Analysis, 10 257-271 (2001).
J. Kangas; T. Pukkala; A decision theoretic approach applied to goal programming of forest management, Silva Fennica, 26 (3) 169-176 (1992).
J. N. Sanchirico; J. Siikamaki; Natural Resource Economics and Policy in The 21st Century: Conservation of Ecosystem Services, Resources, 165 8–10 (2007).
J. Pykalainen; J. Kangas; T. Loikkanen; Interactive Decision Analysis in Participatory Strategic Forest Planning: Experiences From State Owned Boreal Forests, Journal of Forest Economics, 5 (3) 341-364 (1999).
J. Uusivuori; E. Lehto; M. Palo; Population, Income and Ecological Conditions as Determinants of Forest Area Variation in the Tropics. Global Environmental Change, 12 (4) 313–323 (2002).
J. Wu; N. Wu; Analyzing Multi-Dimensional Attributes for the Single Plant Location Problem Via An Adaptation of The Analytic Hierarchy Process, International Journal of Operations and Production Management, 4 (3) 13-21 (1984).
K. Segotic; M. Sporcić; I. Martinic; Ranking of The Mechanisation Working Units in the Forestry of Croatia, In: SOR '07 Proceedings of The 9th International Symposium on Operational Research, Nova Gorica, Slovenia, 247-251 (2007).
Kangas; An Approach to Public Participation in Strategic Forest Management Planning, Forest Ecology and Management, 70 (1-3) 75-88 (1994).
Kangas; M. Kurttila; T. Hujala; K. Eyvindson; J. Kangas; Decision Support for Forest Management, Springer International Publishing, 30 307 (2015).
Kangas; N. Saarinen; H. Saarikoski; L. A. Leskinen; T. Hujala; J. Tikkanen; Stakeholder perspectives about proper participation for Regional Forest Programmes in Finland, Forest Policy and Economics, 12 (3) 213-222 (2010).
Kramer; I. Leinonen; D. Loustau; The importance of phenology for the evaluation
of impact of climate change on growth of boreal, temperate and Mediterranean forests
ecosystems: An overview, International Journal of Biometeorology, 44 (2) 67–75 (2000).
Kumar; S. P. S. Rawat; H. Singh; N. H. Ravindranath; N. Kalra; Dynamic forest vegetation models for predicting impacts of climate change on forests: An Indian perspective, Indian Journal of Forestry, 41 (1) 1–12 (2018).
L. Carr; L. Suter; A. Barbier; Population Dynamics and Tropical Deforestation: State of The Debate and Conceptual Challenges, Population And Environment, 27 (1) 89–113 (2005).
L. Saaty; The Analytical Hierarchy Process, Mcgraw-Hill, New York (1980).
Liu; A. Collins; S. Yao; A Multi-Objective and Multi-Design Evaluation Procedure for Environmental Protection Forestry, Environmental and Resource Economics, 12 (2) 225-240 (1998).
M. Murray; K. Gadow; Prioritizing Mountain Catchment Areas, Journal Of Environmental Management, 32 (4) 357-366 (1991).
M. Rauscher; F.T. Lloyd; D. L. Loftis; M. J. Twery; A practical decision-analysis process for forest ecosystem management, Computers and Electronics in Agriculture, 27 (1-3) 195-226 (2000).
National Working Plan Code - 2014 (for Sustainable Management of Forests and Biodiversity in India), Environment Portal News, reports, documents, blogs, data, analysis on environment & development, India, South Asia 2014. Retrieved March 22, 2021, from http://www.indiaenvironmentportal.org.in/content/391742/national-working-plan-code-2014-for-sustainable-management-of-forests-and-biodiversity-in-india.
Nhantumbo; J. B. Dent; G. Kowero; Goal programming: application in the
management of the miombo woodland in Mozambique, European Journal of Operational Research, 133 310-322 (2001).
P. Faith; P. A. Walker; J. R. Ive; L. Belbin; Integrating conservation and forestry production: exploring trade-offs between biodiversity and production in regional land-use assessment, Forest Ecology and Management, 85 (1-3) 251-260 (1996).
P. Tarp; F. Helles; Multi-Criteria Decision Making in Forest Management Planning - An Overview, Journal of Forest Economics, 1 (3) 273-306 (1995).
P. Van Lierop; E. Lindquist; S. Sathyapala; G. Franceschini; Global forest area disturbance from fire, insect pests, diseases and severe weather events, Forest Ecology and Management, 352 78–88 (2015).
Partovi; J. Burton; A. Barnejee; Application of Analytic Hierarchy Process in Operations Management, International Journal of Operations and Production Management, 10 (3) 5-18 (1990).
R. Narasimhan; An Analytical Approach to Supplier Selection, Journal of Purchasing and Materials Management, 19 (4) 27-32 (1983).
R. T. Watson; M. C. Zinyowera; R. H. Moss; (Eds.). Climate change 1995: Impacts, Adaptations and Mitigation of Climate Change - Scientific-Technical Analyses, Cambridge University Press (1996).
R. W. Saaty; T. L. Saaty; Decision Making in Complex Environments: The Analytic Network Process (ANP), including a Tutorial for the SuperDecisions Software and Portions of the Encyclicon of Applications, Vol. I. 187 (2016).
R. W. Saaty; The Analytic Hierarchy Process - What it is and How it is Used, Mathematical Modelling, 9 (3-5) 161-176 (1987).
Romero; Handbook of critical issues in goal programming, Pergamon Press, Oxford (1990).
Romero; T. Rehman; Natural resources management and the use of multiple-criteria decision making techniques: A review, European Review of Agricultural Economics, 14 (1) 61-89 (1987).
S. Krezołek; Metoda AHP–Struktury hierarchiczne, In: Badania operacyjne i systemowe wobec wyzwań XXI wieku, Metody I Techniki Analizy Informacji I Wspomagania Decyzji, Z, Bubnicki; O. Hryniewicz; R. Kulikowski; (Eds.). Akademicka Oficyna Wydawnicza EXIT, Warszawa, Poland, 11-55 (2002).
S. Laukkanen; A. Kangas; J. Kangas; Applying Voting Theory in Natural Resource Management: A Case of Multiple-criteria Group Decision Support, Journal of Environmental Management, 64 127-137 (2002).
S. Vaidya; S. Kumar; Analytic hierarchy process: An overview of applications, European Journal of Operation Research, 169 1–29 (2006).
Savita; M. Kumar; H. Singh; R. Pandey; M. P. Singh; N. H. Ravindranath; N. Kalra; Assessing vulnerability of forest ecosystem in the Indian Western Himalayan region using trends
of net primary productivity, Biodiversity and Conservation, 28 (8-9) 2163–2182 (2018).
Savita; M. Kumar; S. P. S. Kushwaha; Forest resource dependence and ecological assessment of forest fringes in rainfed districts of India, Indian Forester, 144 (3) 211–220 (2018).
Segotic; M. Sporcic; I. Martinic; The Choice of a Working Method in Forest Stand Thinning, In: SOR '03 Proceedings – The 7th International Symposium On Operational Research in Slovenia, Podčetrtek, Slovenia, September 24-26 153-159 (2003).
T. Lung; G. Schaab; A Comparative Assessment of Land Cover Dynamics of Three Protected Forest Areas in Tropical Eastern Africa, Environmental Monitoring and Assessment, 161 (1) 531–548 (2010).
T. Payn; J. M. Carnus; P. Freer-Smith; M. Kimberley; W. Kollert; S. Liu; C. Orazio; L. Rodriguez; L. N. Silva; M. J. Wingfield; Changes in Planted Forests and Future Global Implications, Forest Ecology and Management, 352 57–67 (2015).
T. Trzaskalik; Metody Wielokryterialne Na Polskim Rynku Finansowym, PWE, Warszawa, Poland, (2006).
T. V. Binh; Assess the Growth Ability and Economic Efficiency of A. mangiumand Acacia Hybrid Plantation in Yen the District, Bac Giang Province, Master’s Thesis, Thai Nguyen University of Agriculture and Forestry, Thai Nguyen University, Thainguyen, Vietnam (2015).
Thuiller; Biodiversity: Climate change and the ecologist. Nature, 448-550 (7153) (2007).
United Nations; Department of Economic and Social Affairs, Population Division. World Population Prospects 2019: Highlights (ST/ESA/SER.A/423) (2019).
Wolfslehner; H. Vacik; M. J. Lexer; Application of the Analytic Network Process in Multi-Criteria Analysis of Sustainable Forest Management, Forest Ecology and Management, 207 (1-2) 157-170 (2005).
World Wide Fund for Nature; Living Forests Report: Forests & Wood Products, World Wildlife Fund for Nature: Gland, Switzerland (2012).
Yang; T. Pu; K. Y. Li; Study on Construction Order of Logistics Park Based on Combined Model of Analytic Hierarchy Process and Gray Comprehensive Evaluation, Applied Mechanics and Materials, 97–98 644–647 (2011).
Zahidi; The Analytic Hierarchy Process - A Survey of the Method and its Application, Interfaces, 16 (4) 96-108 (1985).

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