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EnglishIn the recent decades, growing demand for wood products, combined with eforts to conserve natural forests, has supported a steady increase in the global extent of planted forests. In this paper, a two-phase sampling strategy for large-scale assessment of hybrid poplar plantations in Northern Italy was implemented. The frst phase was performed by means of tessellation stratifed sampling on high-resolution remotely sensed imagery, covering the survey area by a grid of regular polygons of equal size and randomly and independently selecting one point per quadrat. All the plantations spotted by at least one sample point were selected. In the second phase, we randomly chosen a subset of plantations by stratifed sampling that were visited on the ground to collect qualitative and quantitative attributes. The resulting estimates were reliable, and the survey demonstrated relatively easy to be implemented and replicated. These considerations support the use of the proposed sampling strategy to frequently update information on fast-growing forest plantations within agricultural farms, like hybrid poplar crops. Moreover, the results of the case study here presented highlight the relevance of hybrid poplar plantations in Italy, in the context of sustainable development strategies under a green economy perspective.
Corona, P.; Chianucci, F.; Marcelli, A.; Gianelle, D.; Fattorini, L.; Grotti, M.; Puletti, N.; Mattioli, W. (2020). Probabilistic sampling and estimation for large-scale assessment of poplar plantations in Northern Italy. EUROPEAN JOURNAL OF FOREST RESEARCH. doi: 10.1007/s10342-020-01300-9 handle: http://hdl.handle.net/10449/64486
| Citation: | Corona, P.; Chianucci, F.; Marcelli, A.; Gianelle, D.; Fattorini, L.; Grotti, M.; Puletti, N.; Mattioli, W. (2020). Probabilistic sampling and estimation for large-scale assessment of poplar plantations in Northern Italy. EUROPEAN JOURNAL OF FOREST RESEARCH. doi: 10.1007/s10342-020-01300-9 handle: http://hdl.handle.net/10449/64486 |
| Internal authors: | |
| Organization unit: | Department of Sustainable Agro-ecosystems and Bioresources # CRI |
| Authors: | Corona, P.; Chianucci, F.; Marcelli, A.; Gianelle, D.; Fattorini, L.; Grotti, M.; Puletti, N.; Mattioli, W. |
| Title: | Probabilistic sampling and estimation for large-scale assessment of poplar plantations in Northern Italy |
| Journal: | EUROPEAN JOURNAL OF FOREST RESEARCH |
| Issue Date: | 2020 |
| Scientific Disciplinary Area: | Settore AGR/05 - Assestamento Forestale E Selvicoltura |
| Keywords ENG: | Forest inventory Two phase sampling Populus spp Tessellation stratifed sampling Hybrid poplar |
| Language: | English |
| IF: | With Impact Factor ISI |
| Publication status: | In press |
| Nature of content: | Articolo in rivista/Article |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s10342-020-01300-9 |
| Other types of funding: | ‘Sviluppo di un sistema di monitoraggio annuale del settore forestale e pioppicolo’ (MONIPOPLAR), funded by Federlegnoarredo ‘Sistema di monitoraggio multiscalare a supporto della pioppicoltura di precisione nella Regione Lombardia’ (PRECISIONPOP) funded by Lombardy Region, Italy, Grant number: E86C18002690002 |
| Appears in Collections: | 01 - Journal article |
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