Consolidating new paradigms in large-scale monitoring and assessment of forest ecosystems

Environmental Research

Volumn 144, Issue , 2016, Pages 8-14

  Corona, Piermaria ^a  

^a ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

Author keywords

Complex adaptive system; Forest inventory; Forest management; Forest mapping; Global changes; Resilience thinking

Indexed keywords

ADAPTIVE MANAGEMENT; COMPLEXITY; ECOSYSTEM MANAGEMENT; ECOSYSTEM RESILIENCE; ECOSYSTEM SERVICE; ENVIRONMENTAL MONITORING; FOREST ECOSYSTEM; FOREST INVENTORY; FOREST MANAGEMENT; GLOBAL CHANGE; LITERATURE REVIEW; RESOURCE ASSESSMENT; VEGETATION MAPPING;

ARTICLE; BIODIVERSITY; ECOSYSTEM MONITORING; ENVIRONMENTAL SUSTAINABILITY; FOREST MANAGEMENT; GLOBAL CHANGE; PRIORITY JOURNAL; RURAL AREA; URBAN AREA; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; FOREST; PROCEDURES;

CONSERVATION OF NATURAL RESOURCES; ENVIRONMENTAL MONITORING; FORESTS;

EID: 84949519191     PISSN: 00139351     EISSN: 10960953     Source Type: Journal    
DOI: 10.1016/j.envres.2015.10.017     Document Type: Article

References (96)

1. Anand M., Gonzalez A., Guichard F., Kolasa J., Parrott L. Ecological systems as complex systems: challenges for an emerging science. Diversity 2010, 2:395-410.
2. Baffetta F., Fattorini L., Corona P. Estimation of small woodlot and tree row attributes in large-scale forest inventories. Environ. Ecol. Stat. 2011, 18:147-167.
3. Baffetta F., Corona P., Fattorini F. Assessing the attributes of scattered trees outside the forest by a multi-phase sampling strategy. Forestry 2011, 84:315-325.
4. Barbati A., Corona P., Marchetti M. A forest typology for monitoring sustainable forest ecosystem management: the case of European Forest Types. Plant Biosyst. 2007, 1:93-103.
5. Barbati A., Marchetti M., Chirici G., Corona P. European forest types and forest Europe SFM indicators: Tools for monitoring progress on forest biodiversity conservation. For. Ecol. Manag. 2014, 321:145-157.
6. Bélouard T., Coulon F. Trees outside forests: France. Trees Outside Forests. Towards better awareness. FAO Conservation Guide 2002, 149-156. FAO, Rome. R. Bellefontaine, S. Petit, P. Deleporte, J.-G. Bertault (Eds.).
7. Benson M.H., Garmestani A. Can we manage for resilience? The integration of resilience thinking into natural resource management in the United States. Environ. Manag. 2011, 48:392-399.
8. Benson M.H., Craig R.K. The end of sustainability. Soc. Nat. Resour. 2014, 27:777-782.
9. Bottalico F., Travaglini D., Chirici G., Marchetti M., Marchi E., Nocentini S., Corona P. Classifying silvicultural systems (coppices vs. high forests) in Mediterranean oak forests by Airborne Laser Scanning data. Eur. J. Remote Sens. 2014, 47:437-460.
10. Schweizerisches Landesforstinventar. Ergebnisse der dritten Erhebung 2004-2006 2010, WSL, BAFU, Birmensdorf, Bern. U.-B. Brändli (Ed.).
11. Bravo-Oviedo A., Pretzsch H., Ammer C., Andenmatten E., Antón C., Barbati A., Barreiro S., Brang P., Bravo F., Brunner A., Coll L., Corona P., den Ouden J., Drössler L., Ducey M.J., Kaynas B.Y., Legay M., Löf M., Lesinski J., Mason B., Meliadis M., Manetti M.C., Morneau F., Motiejunaite J., O'Reilly C., Pach M., Ponette Q., Río M., Short I., Skovsgaard J.P., Souidi Z., Spathelf P., Sterba H., Stojanovic D., Strelcova K., Svoboda M., Valsta L., Verheyen K., Zlatanov T. European Mixed Forests: definition and perspectives. For. Syst. 2014, 3:518-533.
12. Breidenbach J., Næsset E., Lien V., Gobakken T., Solberg S. Prediction of species specific forest inventory attributes using a nonparametric semi individual tree crown approach based on fused airborne laser scanning and multispectral data. Remote Sens. Environ. 2010, 114:911-924.
13. Carpenter S., Walker B., Anderies J.M., Abel N. From metaphor to measurement: Resilience of what to what?. Ecosystems 2001, 4:765-781.
14. Principles of ecosystem stewardship: resilience-based natural resources management in a changing world 2009, 409. Springer, New York. F.S. Chapin, G.P. Kofinas, C. Folke (Eds.).
15. Chirici G., McRoberts R.E., Winter S., Bertini R., Brändli U.-B., Asensio I.A., Bastrup-Birk A., Rondeux J., Barsoum N., Marchetti M. National forest inventory contributions to forest biodiversity monitoring. For. Sci. 2012, 58:257-268.
16. Ciancio O., Nocentini S. The forest and man: the evolution of forestry thought from modern humanism to the culture of complexity. Systemic silviculture and management on natural bases. The forest and man. Firenze, Accademia Italiana di Scienze Forestali 1997, 21-114. O. Ciancio (Ed.).
17. Ciancio O., Nocentini S. Biodiversity conservation and systemic silviculture: concepts and applications. Plant Biosyst. 2011, 145(2):411-418.
18. Corona P. Integration of forest mapping and inventory to support forest ecosystem management. iForest-Biogeosci. For. 2010, 3:59-64. 10.3832/ifor0531-003.
19. Corona, P., Del Favero, R., Marchetti, M., 2004a. Stand-level forest type approach in Italy: experiences from the last twenty years. In: Marchetti, M. (Ed.), Proceedings of the Monitoring and indicators for Forest Biodiversity in Europe-from ideas to Operationality. EFI Proceedings 51, pp. 143-152.
20. Corona P., Chirici G., Travaglini D. Forest ecotone survey by line intersect sampling. Can. J. For. Res. 2004, 34:1776-1783.
21. Corona P., Fattorini L. The assessment of tree row attributes by stratified two-stage sampling. Eur. J. For. Res. 2006, 125:57-66.
22. Corona P., Fattorini L. Area-based lidar-assisted estimation of forest standing volume. Can. J. For. Res. 2008, 38:2911-2916.
23. Corona P., Blasi C., Chirici G., Facioni L., Fattorini L., Ferrari B. Monitoring and assessing old-growth forest stands by plot sampling. Plant Biosyst. 2010, 1:171-179.
24. Corona P., Chirici G., McRoberts R.E., Winter S., Barbati A. Contribution of large-scale forest inventories to biodiversity assessment and monitoring. For. Ecol. Manag. 2011, 262:2061-2069.
25. Corona P., Cartisano R., Salvati R., Chirici G., Floris A., Di Martino P., Marchetti M., Scrinzi G., Clementel F., Travaglini D., Torresan C. Airborne Laser Scanning to support forest resource management under alpine, temperate and Mediterranean environments in Italy. Eur. J. Remote. Sens. 2012, 45:27-37.
26. Corona P., Agrimi M., Baffetta F., Barbati A., Chiriacò M.V., Fattorini F., Pompei E., Valentini R., Mattioli W. Extending large-scale forest inventories to assess urban forests. Environ. monit. Assess. 2012, 184:1409-1422.
27. Corona P., Fattorini L., Franceschi S., Chirici G., Maselli F., Secondi L. Mapping by spatial predictors exploiting remotely sensed and ground data: a comparative design-based perspective. Remote Sens. Environ. 2014, 152:29-37.
28. Corona P., Chirici G., Franceschi S., Maffei D., Marcheselli M., Pisani C., Fattorini L. Design-based treatment of missing data in forest inventories using canopy heights from aerial laser scanning. Can. J. For. Res. 2014, 44:892-902.
29. Corona P., Fattorini L., Franceschi S., Scrinzi G., Torresan C. Estimation of standing wood volume in forest compartments by exploiting airborne laser scanning information: model-based, design-based, and hybrid perspectives. Can. J. For. Res. 2014, 44:1303-1311.
30. De Foresta H., Somarriba E., Temu A., Boulanger D., Feuilly H., Gauthier M. Towards the Assessment of Trees Outside Forests. Resources Assessment Working 2013, 335. FAO, Rome, Paper 183.
31. Di Salvatore U., Ferretti F., Cantiani P., Paletto A., De Meo I., Chiavetta U. Multifunctionality assessment in forest planning at landscape level. The study case of Matese Mountain Community (Italy). Ann. Silvic. Res. 2013, 37:45-54.
32. Domingo-Santos J.M., de Villarán R.F., Rapp-Arrarás I., Corral-Pazos de Provens E. The visual exposure in forest and rural landscapes: an algorithm and a GIS tool. Landsc. Urban Plan. 2011, 101:52-58.
33. FAO, 2010. Thematic Study on Trees Outside Forest (TOF). Inception Workshop. Summary Rome, pp. 4.
34. Fattorini L., Marcheselli M., Pisani C. A three-phase sampling strategy for large-scale multiresource forest inventories. J. Agric. Biol. Environ. Stat. 2006, 11:296-316.
35. Filotas E., Parrott L., Burton P.J., Chazdon R.L., Coates K.D., Coll L., Haeussler S., Martin K., Nocentini S., Puettmann K.J., Putz F.E., Simard S.W., Messier C. Viewing forests through the lens of complex systems science. Ecosphere 2014, 5:1-23.
36. Finley A.O., Banerjee S., McRoberts R.E. A Bayesian approach to multi-source forest area estimation. Environ. Ecol. Stat. 2008, 15:241-258.
37. Folke C. Resilience: the emergence of a perspective for social-ecological systems analysis. Glob. Environ. Change 2006, 16:253-267.
38. Forman R.T.T. Land mosaics: the ecology of landscapes and regions 1995, 632. Cambridge University Press, Cambridge.
39. Fridman J., Holm S., Nilsson M., Nilsson P., Ringvall A., Ståhl G. Adapting National Forest Inventories to changing requirements the case of the Swedish National Forest Inventory at the turn of the 20th century. Silva Fenn. 2014, 48:1-29.
40. Gamfeldt L., Snäll T., Bagchi R., Jonsson M., Gustafsson L., Kjellander P., Ruiz-Jaen M.C., Fröberg M., Stendahl J., Philipson C.D., Mikusiński G., Andersson E., Westerlund B., Andrén H., Moberg F., Moen J., Bengtsson J. Higher levels of multiple ecosystem services are found in forests with more tree species. Nat. Commun. 2013, 4:1340.
41. Giessen L., Buttoud G. Defining and assessing forest governance. For. Policy Econ. 2014, 49:1-3.
42. Gregoire T.G., Valentine H.T. Sampling strategies for natural resources and the environment 2008, 496. Chapman and Hall, New York.
43. Gregoire T.G., Ståhl G., Næsset E., Gobakken T., Nelson R., Holm S. Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark county, Norway. Can. J. For. Res. 2011, 41:83-95.
44. Hahn W.A., Knoke T. Sustainable development and sustainable forestry: analogies, differences and the role of flexibility. Eur. J. For. Res. 2010, 129:787-801.
45. Holmgren P., Masakha E.J., Sjöholm H. Not all African land is being degraded: a recent survey of trees on farms in Kenya reveals rapidly increasing forest resources. Ambio 1994, 23:390-395.
46. Hunsaker C.T., O'Neill R.V., Jackson B.L., Timmins S.P., Levine D.A., Norton D.J. Sampling to characterize landscape pattern. Landsc. Ecol. 1994, 9:207-226.
47. Kay J., Regier H. Uncertainty, complexity and ecological integrity: insights from an ecosystem approach. Implementing ecological integrity: restoring regional and global environmental and human health. NATO Science Series 2000, 121-156. Kluwer, Dordrecht. P. Crabbe, A. Holland, L. Ryszkowski, L. Westra (Eds.).
48. Kleinn C., Traub B. Describing landscape pattern by sampling methods. Advances in forest inventory for sustainable forest management and biodiversity monitoring 2003, 175-189. Kluwer, Dordrecht. P. Corona, M. Köhl, M. Marchetti (Eds.).
49. Köhl M., Magnussen S., Marchetti M. Sampling methods, Remote Sensing and GIS Multiresource Forest Inventory. Tropical Forestry Series 2006, Springer Verlag, Berlin-Heidelberg.
50. Kolström M., Lindner M., Vilén T., Maroschek M., Seidl R., Lexer M.J., Netherer S., Kremer A., Delzon S., Barbati A., Marchetti M., Corona P. Reviewing the science and implementation of climate change adaptation measures in European forestry. Forests 2011, 2:961-982.
51. La Rosa D., Lorz C., König H.J., Fürst C. Spatial information and participation in socio-ecological systems: experiences, tools and lessons learned for land-use planning. iForest 2014, 7:349-352.
52. Patterns and processes in forest landscapes: multiple use and sustainable management 2008, 425. Springer, The Netherlands. R. Lafortezza, J. Chen, G. Sanesi, T.R. Crow (Eds.).
53. Lafortezza R., Sanesi G., Chen J. Large-scale effects of forest management in Mediterranean landscapes of Europe. iForest 2013, 6:342-346.
54. Lafortezza R., Davies C., Sanesi G., Konijnendijk C.C. Green infrastructure as a tool to support spatial planning in European urban regions. iForest 2013, 6:102-108.
55. Lefsky M.A., Cohen W.B., Parker G.G., Harding D.J. Lidar remote sensing for ecosystem studies. Bioscience 2002, 52:19-30.
56. Lindenmayer D.B., Franklin J.F. Conserving Forest Biodiversity: A Comprehensive Multi-scaled Approach 2002, 352. Island Press, Washington, D.C.
57. Lindenmayer D.B., Likens G.E. The science and application of ecological monitoring. Biol. Conserv. 2010, 143:1317-1328.
58. Lister, A., Scott, C., Rasmussen S., 2009. Inventory of trees in non-forest areas in the Great Plains States. In: Proceedings of the USDA Forest Service Proceedings, RMRS-P-56.17.
59. Lone K., van Beest F.M., Mysterud A., Gobakken T., Milner J.M., Ruud H.P., Loe L.E. Improving broad scale forage mapping and habitat selection analyses with airborne laser scanning: the case of moose. Ecosphere 2014, 5:144.
60. Mandallaz D. Sampling techniques for forest inventories 2008, 256. Chapman and Hall, New York.
61. Marchetti M., Vizzarri M., Lasserre B., Sallustio L., Tavone A. Natural capital and bioeconomy: challenges and opportunities for forestry. Ann. Silvic. Res. 2014, 38:62-73.
62. Maselli F., Chirici G., Bottai L., Corona P., Marchetti M. Estimation of Mediterranean forest attributes by the application of k-NN procedure to multitemporal Landsat ETM+ images. Int. J. Remote Sens. 2005, 17:3781-3796.
63. McGarigal K., Cushman S.A. The gradient concept of landscape structure. Issues and Perspectives in Landscape Ecology 2005, 112-119. Cambridge University Press, Cambridge. J. Wiens, M. Moss (Eds.).
64. McRoberts R.E., Tomppo E., Schadauer K., Vidal C., Ståhl G., Chirici G., Lanz A., Cienciala E., Winter S., Smith B. Harmonizing National Forest Inventories. J. For. 2009, 107:179-187.
65. McRoberts R.E., Cohen W.B., Næsset E., Stehman S.V., Tomppo E.O. Using remotely sensed data to construct and assess forest attribute maps and related spatial products. Scand. J. Res. 2010, 25:340-367.
66. McRoberts R.E. Satellite image-based maps: Scientific inference or pretty pictures?. Remote Sens. Environ. 2011, 115:715-724.
67. Messier C., Puettmann K.J., Coates K.D. Managing forests as complex adaptive systems. Oxon 2013, 368. Routledge.
68. Milly P.C.D., Betancourt J., Falkenmark M., Hirsch R.M., Kundzewicz Z.W., Lettenmaier D.P., Stouffer R.J. Stationarity is dead: whither water management?. Science 2008, 319:573-574.
69. Montaghi A., Corona P., Dalponte M., Gianelle D., Chirici G., Olsson H. Airborne laser scanning of forest resources: An overview of research in Italy as a commentary case study. Int. J. Appl. Earth Obs. 2013, 23:288-300.
70. Motz K., Sterba H., Pommerening A. Sampling measures of tree diversity. For. Ecol. Manag. 2010, 260:1985-1996.
71. Newton A.C., Kapos V. Biodiversity indicators in national forest inventories. Unasylva 2002, 53:56-64.
72. Nilsson M., Folving S., Kennedy P., Puumalainen J., Chirici G., Corona P., Marchetti M., Olsson H., Ricotta C., Ringvall A., Stahl G., Tomppo E. Combining remote sensing and field data for deriving unbiased estimates of forest parameters over large regions. Advances in Forest Inventory for Sustainable Forest Management and Biodiversity Monitoring 2003, 19-32. Kluwer, Dordrecht, The Netherlands. P. Corona, M. Koehl, M. Marchetti (Eds.).
73. L., Portoghesi, A., Alivernini, D., Cimini, R., Bertani, M., Marchetti, P., Corona., 2013. FORFUN: a computerized tool to create a ranking of relative importance for forest functions at stand scale. In: Proceedings of the Implementation of DSS Tools into the forestry practice, Reviewed Conference Proceedings, Technical University Zvolen, Slovakia, pp. 93-99.
74. Puettmann K.J., Coates K.D., Messier C. A critique of silviculture. Managing for complexity 2009, 188. Island Press, Washington DC.
75. Ramezani H., Holm S., Allard A., Ståhl G. Monitoring landscape metrics by point sampling: accuracy in estimating Shannon's diversity and edge density. Environ. Monit. Assess. 2010, 164:403-421.
76. Ramezani H., Holm S. Sample based estimation of landscape metrics; accuracy of line intersect sampling for estimating edge density and Shannon's diversity index. Environ. Ecol. Stat. 2011, 18:109-130.
77. Ramezani H., Holm S., Allard A., Ståhl G. A review of sampling based approaches for estimating landscape metrics. Nor. J. Geogr. 2013, 67(2):61-71.
78. Ramezani H., Ramezani F. Potential for wider application of national forest inventories- to estimate monitoring landscape metric contagion. Environ. Monit. Assess. 2015, 187(3):116. 10.1007/s10661-015-4283-2.
79. R. Riemann, 2003. Pilot Inventory of FIA Plots Traditionally Called 'Nonforest'. USDA Forest Service Northeastern Res. St. Gen. Tech. Rep. NE-312.
80. Riemann, R., Birch, T., 1996. Method for identifying urban forest from forest inventory and analysis data. In: Abrahamson, Lawrence; Aikman, Walt; Whaley, Ross; Blackmon, Bob, comps. Conference Proceedings: the Empire Forest-changes and challenges; 1995 November 13-14; Syracuse, NY. Syracuse, NY: State University of New York, College of Environmental Science and Forestry, pp. 59-71.
81. Saket M., Branthomme A., Piazza M. FAO NFMA. Support to developing countries on national forest monitoring and assessment. National Forest Inventories, Pathways for Common Reporting 2010, 585-596. Springer, Heidelberg. E. Tomppo, T. Gschwantner, M. Lawrence, R.E. McRoberts (Eds.).
82. Seppelt R., Fath B., Burkhard B., Fisher J., Grêt-Regamey A., Lautenbach S., Pert P., Hotes S., Spangenberg J., Verburg P., Van Oudenhoven A. Form follows function? Proposing blueprint for ecosystem service assessments based on reviews and case studies. Ecol. Indic. 2012, 21:145-154.
83. Suárez, M.D.R., Cruz, L., Pérez Alegría, L.R., 2004. A methodology for forest inventory using GIS techniques for carbon sequestration analysis in the Río Grande de Arecibo watershed. In: Proceedings of the American Society of Agricultural and Biological Engineers, Annual Meeting, Paper no. 045003, St. Joseph, Michigan, USA.
84. Ståhl G., Holm S., Gregoire T.G., Gobakken T., Næsset E., Nelson R. Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway. Can. J. For. Res. 2011, 41:96-107.
85. Stehman S.V. Model-assisted estimation as a unifying framework for estimating the area of land cover and land-cover change from remote sensing. Remote Sens. Environ. 2009, 113:2455-2462.
86. Sterba H. Diversity indices based on angle count sampling and their interrelationships when used in forest inventories. Forestry 2008, 81:587-597.
87. Straub C., Weinacker H., Koch B. A comparison of different methods for forest resource estimation using information from airborne laser scanning and CIR orthophotos. Eur. J. For. Res. 2010, 129:1069-1080.
88. Shaw J.D. Benefit of a strategic national forest inventory to science and society: the USDA Forest Service Forest Inventory and Analysis program. iForest 2008, 1:81-85.
89. Shvidenko A., Barber C.V., Persson R. Forest and woodland systems. Ecosystems and Human well-being. Current state and trends. The Millenium Ecosystem Assessment Series 2005, 587-621. Island Press, Washington. H. Rashid, R. Scholes, N. Ash (Eds.).
90. TEEB, 2010. The economics of ecosystems and Biodiversity: Mainstreaming the economics of nature: a synthesis of the approach, conclusions and recommendations of TEEB. The economics of ecosystems and biodiversity. Retrieved from:. http://www.teebweb.org.
91. Tewari V., Sukumar R., Kumar R., Gadow K. Forest observational studies in India: Past developments and considerations for the future. For. Ecol. Manag. 2013, 316:32-46.
92. National Forest Inventories. Pathways for Common Reporting 2010, 612. Springer, Berlin and Heidelberg. E. Tomppo, T. Gschwantner, M. Lawrence, R.E. McRoberts (Eds.).
93. Vizzarri M., Chiavetta U., Chirici G., Garfì V., Bastrup-Birk A., Marchetti M. Comparing multisource harmonized forest types mapping: a case study from central Italy. iForest 2015, 8:59-66. 10.3832/ifor1133-007.
94. Wagner S., Nocentini S., Huth F., Hoogstra-Klein M. Forest management approaches for coping with the uncertainty of climate change: trade-offs in service provisioning and adaptability. Ecol. Soc. 2014, 19(1):32.
95. Walker B.H., Salt D. Resilience Thinking: Sustaining Ecosystems and People in a Changing World 2006, 174. Island Press, Washington, D.C., USA.
96. Zlinszky A., Schroiff A., Kania A., Deák B., Mücke W., Vári Á., Székely B., Pfeifer N. Categorizing grassland vegetation with full-waveform airborne laser scanning: a feasibility study for detecting Natura 2000 habitat types. Remote Sens. 2014, 6:8056-8087.