FLR-Library reference information system for adaptive forest restoration: cluster analysis of descriptors

Abstract

The lack of uniform terminological and technological approaches to the procedure of adaptive reforestation suggests the justification of the principles of creating a reference information system (FLR-Library), taking into account the specifics of implementing a joint decomposed FLR algorithm to reduce its execution time and rational forecasting of future forest landscape restoration projects. Collected and analyzed more than 120 definitions for more than 30 descriptors, such as "forest", "forest landscapes", "adaptive reforestation", "concepts of adaptive reforestation", "reforestation", "afforestation", "stand", "forest plantation", "forest complex", "forest landscape", "type of forest" and others. Both distinctive features and common points in the definitions of different countries and authors of the same descriptor are found. Technically, an approach to clustering of the most common descriptors is implemented: "forest", "forest landscapes", "reforestation", "afforestation". To do this, for each descriptor, based on the hierarchical clustering module, the combination of a cluster of recalibrated distances was determined and a cluster diagram was constructed based on «variables» (criteria for the descriptors effectiveness) and «observations» (by countries containing a source of information with a descriptor). Common to all sources will be that adaptive reforestation implies adaptation to climate change, but then there are two options for development: 1) planting (sowing) breeds resistant to climate change; 2) import and adaptation of "southern" breeds to northern latitudes. In the future, based on the analysis of descriptors and the principle of decomposition, it is planned to develop an algorithm for the functioning of the FLR system.

The VIS-Spectrometric Data of Scots Pine Individual Seed Reveal Forecasting Potential for Container-Grown Germination and Seedling’s Dickson Quality Index

“…The library of forest reproductive material (FRM-Library) [1], based on Pravdin's conjecture [2,3], is expanding and filling with data on individual parameters and indicators of each single seed of Scots pine (Pinus sylvestris L., var. Negorelskaya) and the seedlings obtained from it.…”

FLR-Library reference information system for adaptive forest restoration: the information model

“…Обзор программного обеспечения показал, что широко представлены информационные системы управления (ИСУ) для ремонта и технического обслуживания лесных машин [8], уделяется большое внимание единому информационному пространству и качеству передачи данных, информационному управлению парком лесных машин [9]. Существующее программное обеспечение для лесного комплекса [10][11][12][13][14] разрабатывалось с целью автоматизации работы с отчетной документацией, отслеживания технических характеристик машин и оборудования для планирования технического обслуживания, либо выявления причин поломок; для сбора данных о затратах времени на отдельные операции, затратах ГСМ, трудозатратах и т.п. для прогнозирования времени и объема заготовки леса.…”