Distinguishing four types of monitoring based on the questions they address

Forest Ecology and Management

Volumn 289, Issue , 2013, Pages 183-189

  Hutto, Richard L ^a   Belote, R T ^b  

^a UNIVERSITY OF MONTANA   (United States)

^b Wilderness Society Bozeman   (United States)

Author keywords

Adaptive management; Ecological effects monitoring; Effectiveness monitoring; Implementation monitoring; Monitoring; Surveillance monitoring

Indexed keywords

ADAPTIVE MANAGEMENT; CHRONOSEQUENCES; CLASSIFICATION SCHEME; ECOLOGICAL CONSEQUENCES; ECOLOGICAL EFFECT; MANAGEMENT ACTIVITIES; MANAGEMENT OBJECTIVES; PUBLIC LANDS; SPACE AND TIME; SURVEILLANCE MONITORING;

COMMERCE; ECOLOGY; INFORMATION MANAGEMENT; LAND USE; NATURAL RESOURCES MANAGEMENT;

MONITORING;

ADAPTIVE MANAGEMENT; CHRONOSEQUENCE; ECOLOGICAL IMPACT; FOREST MANAGEMENT; LAND MANAGEMENT; LAND TYPE; MANAGEMENT PRACTICE; MONITORING SYSTEM; NATURAL RESOURCE; RESOURCE MANAGEMENT; SPATIOTEMPORAL ANALYSIS; TRADE-OFF;

EID: 84870155533     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2012.10.005     Document Type: Article

References (40)

1. Bliss J., Aplet G., Hartzell C., Harwood P., Jahnige P., Kittredge D., Lewandowski S., Soscia M.L. Community-based ecosystem monitoring. J. Sustain. Forest. 2001, 12:143-167.
2. Block W.M., Franklin A.B., Ward J.P., Ganey J.L., White G.C. Design and implementation of monitoring studies to evaluate the success of ecological restoration on wildlife. Restor. Ecol. 2001, 9:293-303.
3. Bormann B.T., Haynes R.W., Martin J.R. Adaptive management of forest ecosystems: did some rubber hit the road?. BioScience 2007, 57:186-191.
4. Bradford J.B., D'Amato A.W. Recognizing trade-offs in multi-objective land management. Front. Ecol. Environ. 2012, 10:210-216.
5. Chase, M.K., Geupel, G.R., 2005. The use of avian focal species for conservation planning in California. USDA For. Serv. Gen. Tech. Rep. PSW-GTR-191, pp. 130-142.
6. DeLuca T.H., Aplet G.H., Wilmer B., Burchfield J. The unknown trajectory of forest restoration: a call for ecosystem monitoring. J. Forest. 2010, 108:288-295.
7. Field S.A., O'Connor P.J., Tyre A.J., Possingham H.P. Making monitoring meaningful. Aust. Ecol. 2007, 32:485-491.
8. Geupel G.R., Humple D., Roberts L.J. Monitoring decisions: not as simple as they seem?. Trends Ecol. Evol. 2011, 26:107.
9. Groffman P., Baron J., Blett T., Gold A., Goodman I., Gunderson L., Levinson B., Palmer M., Paerl H., Peterson G., Poff N., Rejeski D., Reynolds J., Turner M., Weathers K., Wiens J. Ecological thresholds: the key to successful environmental management or an important concept with no practical application?. Ecosystems 2006, 9:1-13.
10. Holling C.S. Adaptive environmental assessment and management 1978, John Wiley and Sons, New York, NY.
11. Hutto R.L. Using landbirds as an indicator species group. Avian Conservation: Research and Management 1998, 75-92. Island Press, Covelo, CA. J.M. Marzluff, R. Sallabanks (Eds.).
12. Hutto, R.L., 2005. Northern Region Landbird Monitoring Program: a program designed to monitor more than long-term population trends. USDA For. Serv. Gen. Tech. Rep. PSW-GTR-191, pp. 956-962.
13. Hutto R.L., Young J.S. Regional landbird monitoring: perspectives from the northern Rocky Mountains. Wildlife Soc. Bull. 2002, 30:738-750.
14. Hutto, R.L., Kowalski, S., 2006. Northern Region Landbird Monitoring Program: a USFS-University of Montana partnership designed to provide both short-term and long-term feedback for land managers. In: Aguirre-Bravo, C., Pellicane, P.J., Burns, D.P., Draggan, S. (Eds.), Monitoring Science and Technology Symposium: Unifying Knowledge for Sustainability in the Western Hemisphere. 2004 September 20-24, Denver, CO. Proceedings. U.S.D.A. For. Serv. RMRS-P-42CD, Fort Collins, CO., pp. 936-943.
15. Johnson E.A., Miyanishi K. Testing the assumptions of chronosequences in succession. Ecol. Lett. 2008, 11:419-431.
16. Kelling S., Hochachka W.M., Fink D., Riedewald M., Caruana R., Ballard G., Hooker G. Data-intensive science. a new paradigm for biodiversity studies. BioScience 2009, 59:613-620.
17. Legg C.J., Nagy L. Why most conservation monitoring is, but need not be, a waste of time. J. Environ. Manage. 2006, 78:194-199.
18. Likens G.E., Lindenmayer D.B. A strategic plan for an Australian long-term environmental monitoring network. Aust. Ecol. 2011, 36:1-8.
19. Lindenmayer D.B., Likens G.E. Adaptive monitoring: a new paradigm for long-term research and monitoring. Trends Ecol. Evol. 2009, 24:482-486.
20. Lindenmayer D.B., Likens G.E. The science and application of ecological monitoring. Biol. Conserv. 2010, 143:1317-1328.
21. Lindenmayer D.B., Likens G.E. Improving ecological monitoring. Trends Ecol. Evol. 2010, 25:200-201.
22. Martin, E., Ballard, G., 2010. Data Management Best Practices and Standards for Biodiversity Data Applicable to Bird Monitoring Data. North American Bird Conservation Initiative. http://www.nabci-us.org/aboutnabci/bestdatamanagementpractices.pdf.
23. McDonald-Madden E., Baxter P.W.J., Fuller R.A., Martin T.G., Game E.T., Montambault J., Possingham H.P. Monitoring does not always count. Trends Ecol. Evol. 2010, 25:547-550.
24. McDonald-Madden E., Baxter P.W.J., Fuller R.A., Martin T.G., Game E.T., Montambault J., Possingham H.P. Should we implement monitoring or research for conservation?. Trends Ecol. Evol. 2011, 26:108-109.
25. National Forest System Land Management Planning Rule, 2012. Final Programmatic Environmental Impact Statement. http://www.fs.usda.gov/planningrule.
26. Nichols J.D., Williams B.K. Monitoring for conservation. Trends Ecol. Evol. 2006, 21:668-673.
27. Omnibus Public Land Management Act, 2009. http://www.gpo.gov/fdsys/pkg/PLAW-111publ11/content-detail.html.
28. Porzig E.L., Dybala K.E., Gardali T., Ballard G., Geupel G.R., Wiens J.A. Forty-five years and counting: reflections from the Palomarin Field Station on the contribution of long-term monitoring and recommendations for the future. Condor 2011, 113:713-723.
29. Roccaforte J.P., Fulé P.Z., Covington W.W. Monitoring landscape-scale ponderosa pine restoration treatment implementation and effectiveness. Restor. Ecol. 2010, 18:820-833.
30. Schultz C. Challenges in connecting cumulative effects analysis to effective wildlife conservation planning. BioScience 2010, 60:545-551.
31. Schwartz M.D., Bentancourt J.L., Weltzin J.F. From Caprio's Lilacs to the USA phenology network. Front. Ecol. Environ. 2012, 6:324-327.
32. Simberloff D. Flagships, umbrellas, and keystones - is single-species management passe in the landscape era?. Biol. Conserv. 1998, 83:247-257.
33. Smith M.D. Cumulative impact assessment under the National Environmental Policy Act: an analysis of recent case law. Environ. Pract. 2006, 8:228-240.
34. Smucker K.M., Hutto R.L., Steele B.M. Changes in bird abundance after wildfire: importance of fire severity and time since fire. Ecol. Appl. 2005, 15:1535-1549.
35. Susskind L., Camacho A.E., Schenk T. A critical assessment of collaborative adaptive management in practice. J. Appl. Ecol. 2012, 49:47-51.
36. US General Accounting Office (GAO), 2006. Wildland fire rehabilitation and restoration: Forest Service and BLM could benefit from improved information on status of needed work. U.S. Government Accountability Office, Washington, D.C., p. 43.
37. Van Horne, B., Schmidt, P., Andres, B., Barnhill, L., Bart, J., Bishop, R., Brown, S., Francis, C., Hahn, D., Humburg, D., Koneff, M., Peterjohn, B., Rosenberg, K., Sauer, J., Szaro, R., Vojta, C., 2007. Opportunities for Improving Avian Monitoring U.S. North American Bird Conservation Initiative Committee, p. 41.
38. Walters C.J. Adaptive Management of Renewable Resources 1986, MacMillan Publishing Co., New York, NY, p. 374.
39. Walters C.J., Holling C.S. Large-scale management experiments and learning by doing. Ecology 1990, 71:2060-2068.
40. Young J.S., Hutto R.L. Use of a landbird monitoring database to explore effects of partial-cut timber harvesting. Forest Sci. 2002, 48:373-378.