Long-term intensive monitoring in Europe is presently proceeding in more than 800 plots, where a number of investigations are carried out according to allegedly standardized protocols. While the potential of the program cannot be denied, certain aspects that are binding for data analysis may be a source of problems for future evaluation of program results. Here it is argued that: (i) current biological response indicators adopted by the program will not permit air pollution effects to be distinguished from effects due to other stressors and/or natural variation; (ii) the sampling strategy adopted to select monitoring sites does not enable European scale estimates of the status of attributes of interest or their changes; and that (iii) the sampling tactic suggested at plot level is ambiguous and cannot provide representative, unbiased estimates at plot scale. This latter point implies consequences when plot-level data are used in models, correlative studies and/or to infer cause-effect relationships
Ferretti, M., Chiarucci, A. (2003). Design concepts adopted in long-term forest monitoring programs in Europe – Problems for the future?. SCIENCE OF THE TOTAL ENVIRONMENT, 310(1-3), 171-178 [10.1016/S0048-9697(02)00637-X].
Design concepts adopted in long-term forest monitoring programs in Europe – Problems for the future?
CHIARUCCI A.
2003-01-01
Abstract
Long-term intensive monitoring in Europe is presently proceeding in more than 800 plots, where a number of investigations are carried out according to allegedly standardized protocols. While the potential of the program cannot be denied, certain aspects that are binding for data analysis may be a source of problems for future evaluation of program results. Here it is argued that: (i) current biological response indicators adopted by the program will not permit air pollution effects to be distinguished from effects due to other stressors and/or natural variation; (ii) the sampling strategy adopted to select monitoring sites does not enable European scale estimates of the status of attributes of interest or their changes; and that (iii) the sampling tactic suggested at plot level is ambiguous and cannot provide representative, unbiased estimates at plot scale. This latter point implies consequences when plot-level data are used in models, correlative studies and/or to infer cause-effect relationshipsFile | Dimensione | Formato | |
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https://hdl.handle.net/11365/10267
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