Plot intensity and cycle-length effects on growth and removals estimates from forest inventories
Palabras clave:
Forest inventory, Remote Sensing, Remeasurement Cycle, FIA dataResumen
ontinuous forest inventories use permanent plots that are remeasured to provide information on growth, removals and mortality. Typically, all plots are remeasured within a narrow time span, but the USDA Forest Service has popularized a variant referred to as an annual forest inventory where a percentage of the permanent plots are remeasured every year. We discuss trade-offs between number of field plots and cycle length and provide some insight with example applications showing how these decisions impact growth and removals estimates. We also discuss a variant of the traditional growth over removals ratio estimator that limits degradation in estimate quality as cycle lengths increase.
Descargas
Publicado
2015-03-30
Número
Sección
Sampling and Natural Resource Inventories
Licencia
Authors who publish with this journal agree to the following terms:- Authors grant the journal right of first publication, with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) following the publication by the journal, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Cómo citar
Plot intensity and cycle-length effects on growth and removals estimates from forest inventories. (2015). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 7(1), 33-38(6). https://mcfns.com/index.php/Journal/article/view/7.4
