首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Towards a sampling strategy for the assessment of forest condition at European level: combining country estimates
Authors:Davide Travaglini  Lorenzo Fattorini  Anna Barbati  Francesca Bottalico  Piermaria Corona  Marco Ferretti  Gherardo Chirici
Institution:1. Dipartimento di Economia, Ingegneria, Scienze e Tecnologie Agrarie e Forestali, Università degli Studi di Firenze, Via San Bonaventura, 13, 50145, Firenze, Italy
2. Dipartimento di Economia Politica e Statistica, Università degli Studi di Siena, Siena, Italy
3. Dipartimento per l’Innovazione dei sistemi Biologici, Agroalimentari e Forestali, Università degli Studi della Tuscia, Viterbo, Italy
4. TerraData environmetrics, spin-off of the Università degli Studi di Siena, Monterotondo M.mo (GR), Italy
5. Dipartimento di Bioscienze e Territorio, Università degli Studi del Molise, Campobasso, Italy
Abstract:A correct characterization of the status and trend of forest condition is essential to support reporting processes at national and international level. An international forest condition monitoring has been implemented in Europe since 1987 under the auspices of the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests). The monitoring is based on harmonized methodologies, with individual countries being responsible for its implementation. Due to inconsistencies and problems in sampling design, however, the ICP Forests network is not able to produce reliable quantitative estimates of forest condition at European and sometimes at country level. This paper proposes (1) a set of requirements for status and change assessment and (2) a harmonized sampling strategy able to provide unbiased and consistent estimators of forest condition parameters and of their changes at both country and European level. Under the assumption that a common definition of forest holds among European countries, monitoring objectives, parameters of concern and accuracy indexes are stated. On the basis of fixed-area plot sampling performed independently in each country, an unbiased and consistent estimator of forest defoliation indexes is obtained at both country and European level, together with conservative estimators of their sampling variance and power in the detection of changes. The strategy adopts a probabilistic sampling scheme based on fixed-area plots selected by means of systematic or stratified schemes. Operative guidelines for its application are provided.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号