Identifying interactions among reforestation success drivers: A case study from the Philippines

Ecological Modelling

Volumn 316, Issue , 2015, Pages 62-77

  Le, Hai Dinh ^a,b   Smith, Carl ^b   Herbohn, John ^b,c  

^a VIETNAM NATIONAL UNIVERSITY OF FORESTRY   (Viet Nam)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF THE SUNSHINE COAST   (Australia)

Author keywords

Antagonistic interactions; Bayesian networks; Non additive interactions; Synergistic interactions

Indexed keywords

BAYESIAN NETWORKS; COMPLEX NETWORKS; DECISION SUPPORT SYSTEMS;

ANTAGONISTIC INTERACTIONS; BAYESIAN NETWORK MODELS; DECISION SUPPORTS; DISCIPLINARY PROCESS; INTERACTIVE EFFECT; NON-ADDITIVE; REFORESTATION POLICY; SYNERGISTIC INTERACTION;

REFORESTATION;

ANTAGONISM; BAYESIAN ANALYSIS; ECOLOGICAL MODELING; ENVIRONMENTAL CONDITIONS; POLICY MAKING; REFORESTATION; RESTORATION ECOLOGY; SOCIOECONOMIC STATUS; SYNERGISM;

EASTERN VISAYAS; LEYTE [(ISL) VISAYAS]; PHILIPPINES; VISAYAS;

EID: 84939793801     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2015.08.005     Document Type: Article

References (48)

1. Allouche O., Tsoar A., Kadmon R. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J. Appl. Ecol. 2006, 43:1223-1232.
2. Bellamy J.A., Walker D.H., McDonald G.T., Syme G.J. A systems approach to the evaluation of natural resource management initiatives. J. Environ. Manage. 2001, 63:407-423.
3. Breitburg D.L., Baxter J.W., Hatfield C.A., Howarth R.W., Jones C.G., Lovett G.M., Wigand C. Understanding effects of multiple stressors: ideas and challenges. Successes, Limitations and Frontiers in Ecosystem Science 1998, 416-431. Springer Press, New York. M.L. Pace, P.M. Groffman (Eds.).
4. Breitburg D.L., Riedel G.F. Multiple stressors in marine systems. Marine Conservation Biology 2005, 416-431. Island Press, Washington, DC. E.A. Norse, L.B. Crowder (Eds.).
5. Browne M.W. Cross-validation methods. J. Math. Psychol. 2000, 44:108-132.
6. Cain J.D., Jinapala K., Makin I.W., Somaratna P.G., Ariyaratna B.R., Perera L.R. Participatory decision support for agricultural management. A case study from Sri Lanka. Agric. Syst. 2003, 76:457-482.
7. Castelletti A., Soncini-Sessa R. Bayesian Networks and participatory modelling in water resource management. Environ. Model. Softw. 2007, 22:1075-1088.
8. One Century of Forest Rehabilitation in the Philippines: Approaches, Outcomes and Lessons 2006, Center for International Forestry Research (CIFOR), Bogor, Indonesia, 132p. U. Chokkalingam, A.P. Carandang, J.M. Pulhin, R.D. Lasco, R.J.J. Peras, T. Toma (Eds.).
9. Learning Lessons from China's Forest Rehabilitation Efforts: National Level Review and Special Focus on Guangdong Province 2006, Center for International Forestry Research (CIFOR), Bogor, Indonesia, 159p. U. Chokkalingam, Z. Zaichi, W. Chunfeng, T. Toma (Eds.).
10. Clayton A.M.H., Radcliffe N.J. Sustainability: A Systems Approach 1996, Westview Press, Boulder, CO, 258p.
11. Crain C.M., Kroeker K., Halpern B.S. Interactive and cumulative effects of multiple human stressors in marine systems. Ecol. Lett. 2008, 11:1304-1315.
12. Dargantes B.B. Socio-ecological case study on forestlands cultivation in Leyte, Philippines 1996, Verlag W. & S. Koch, Stuttgart, 191 pp.
13. Dargantes B.B., Koch W. Case studies on the occupation and cultivation of the forest lands of Leyte, Philippines. Ann. Trop. Res. 1994, 16:13-29.
14. Darling E.S., Côté I.M. Quantifying the evidence for ecological synergies. Ecol. Lett. 2008, 11:1278-1286.
15. de Jong W., Sam D.D., Hung T.V. Forest Rehabilitation in Vietnam: Histories, Realities and Future 2006, Center for International Forestry Research (CIFOR), Bogor, Indonesia, 76p.
16. DENR Community-Based Forest Management (CBFM) Communicators Training Manual 1998.
17. Folt C.L., Chen C.Y., Moore M.V., Burnaford J. Synergism and antagonism among multiple stressors. Limnol. Oceanogr. 1999, 44:864-877.
18. Groetschel A. Natural resource management strategies on Leyte Island, Philippines 2001, Weikersheim, Margraf.
19. Günter S., Gonzalez P., Álvarez G., Aguirre N., Palomeque X., Haubrich F., Weber M. Determinants for successful reforestation of abandoned pastures in the Andes: soil conditions and vegetation cover. For. Ecol. Manage. 2009, 258:81-91.
20. Halpern B.S., McLeod K.L., Rosenberg A.A., Crowder L.B. Managing for cumulative impacts in ecosystem-based management through ocean zoning. Ocean Coast. Manage. 2008, 51:203-211.
21. Kucharski M.J. A Conceptual Model of Groundwater Flow to Springs in Ban-Utod and Cagnonoc Watersheds, Baybay, Leyte, Philippines, Civil and Environmental Engineering. 2010, Michigan Technological University, Michigan, p. 77.
22. Langenberger G., Martin K., Sauerborn J. Vascular plant species inventory of a Philippine lowland rain forest and its conservation value. Forest Diversity and Management 2006, vol. 2:211-241. Springer, Netherlands.
23. Le H.D., Smith C., Herbohn J. What drives the success of reforestation projects in tropical developing countries? The case of the Philippines. Global Environ. Chang. 2014, 24:334-348.
24. Le H.D., Smith C., Herbohn J., Harrison S. More than just trees: assessing reforestation success in tropical developing countries. J. Rural Stud. 2012, 28:5-19.
25. Mansourian S., Aldrich M., Dudley N. A way forward: working together toward a vision for restored forest landscapes. Forest Restoration in Landscapes: Beyond Planting Trees 2005, 415-423. Springer, New York. S. Mansourian, D. Vallauri, N. Dudley (Eds.).
26. Marcot B.G. What Are "Bayesian Belief Network Models? 2005.
27. Marcot B.G. Metrics for evaluating performance and uncertainty of Bayesian network models. Ecol. Model. 2012, 230:50-62.
28. McCann R.K., Marcot B.G., Ellis R. Bayesian belief networks: applications in ecology and natural resource management. Can. J. For. Res. 2006, 36:3053-3062.
29. Menzie C.A., MacDonell M.M., Mumtaz M. A phased approach for assessing combined effects from multiple stressors. Environ. Health Perspect. 2007, 115:807.
30. Mexal J.G., Cuevas Rangel R.A., Landis T.D. Reforestation success in Central Mexico: factors determining survival and early growth. Tree Planters' Notes - U.S. Department of Agriculture, Forest Service 2008, 53:16-22.
31. Moe S.J. Bayesian models in assessment and management. Environmental Risk Assessment and Management from a Landscape Perspective 2010, 97-120. John Wiley & Sons Inc. L.A. Kapustka, W.G. Landis (Eds.).
32. Nawir A.A., Murniati, Rumboko L. Forest Rehabilitation in Indonesia: Where to After Three Decades? 2007, Center for International Forestry Research (CIFOR), Bogor, Indonesia, 269p.
33. Norsys Software Corp. Netica Application User's Guide 1998, Norsys Software Corp., Vancouver, BC, Canada.
34. Pearce J., Ferrier S. Evaluating the predictive performance of habitat models developed using logistic regression. Ecol. Model. 2000, 133:225-245.
35. Pearl J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference 1988, Morgan Kaufmann.
36. Poteete A., Ostrom E. An Institutional Approach to the Study of Forest Resources 2002, CABI Publishing, New York.
37. Ramakrishnan P.S., Campbell J., Demierre L., Gyi A., Malhotra K.C., Mehndiratta S., Rai S.N., Sashidharan E.M. Ecosystem Rehabilitation of the Rural Landscape in South and Central Asia: An Analysis of Issues 1994, UNESCO, New Delhi, 29 pp.
38. Sajise P. Working with nature: technical and social dimensions of assisted natural regeneration. Advancing Assisted Natural Regeneration (ANR) in Asia and the Pacific 2003, 5-15. FAO, Bangkok, Thailand. P.C. Dugan, P.B. Durst, D.J. Ganz, P.J. McKenzie (Eds.).
39. Sànchez-Marrè M., Béjar J., Comas J., Rizzoli A., Guariso G. Developing Bayesian Network Models within a Risk Assessment Framework 2008.
40. Schindler D.W. The cumulative effects of climate warming and other human stresses on Canadian freshwaters in the new millennium. Can. J. Fish. Aquat. Sci. 2001, 58:18-29.
41. Smith C., Russell I., King C. Rats and rice: belief network models of rodent control in the rice fields of Cambodia. MODSIM 2005 International Congress on Modelling and Simulation 2005, 449-455. Modelling and Simulation Society of Australia and New Zealand, Melbourne. A. Zerger, R.M. Argent (Eds.).
42. Southworth J., Nagendra H. Reforestation: challenges and themes in reforestation research. Reforesting Landscapes 2010, vol. 10:1-14. Springer, Netherlands.
43. Spiegelhalter D.J., Dawid A.P., Lauritzen S.L., Cowell R.G. Bayesian analysis in expert systems. Stat. Sci. 1993, 8:219-247.
44. Stewart-Koster B., Bunn S., Mackay S.J., Poff N., Naiman R., Lake P. The use of Bayesian networks to guide investments in flow and catchment restoration for impaired river ecosystems. Freshw. Biol. 2009, 55:243-260.
45. Stone M. Asymptotics for and against cross-validation. Biometrika 1977, 64:29-35.
46. Uusitalo L. Advantages and challenges of Bayesian networks in environmental modelling. Ecol. Model. 2007, 203:312-318.
47. Wernstedt F.L., Spencer J.E. The Philippine Island World: A Physical, Cultural, and Regional Geography 1967, University of California Press, Berkeley, 742 pp.
48. Zhang J., Tian G., Li Y., Lindstrom M. Requirements for success of reforestation projects in a semiarid low-mountain region of the Jinsha River Basin, southwestern China. Land Degrad. Dev. 2002, 13:395-401.