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Published in DiRROS: 11.01.2022; Views: 599; Downloads: 260
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Abstract: This report summarises the current state of knowledge in genetic aspects linked to the production and use of forest reproductive material (FRM). The first chapter describes the different categories of FRM, considers the strategic choice between artificial and natural regeneration in the face of climate change, and articulates the need for and purposes of FRM. Chapter 2 outlines the FRM production chain, in terms of: i) FRM approval, management, collection and certification (seed sources, stands, orchards, plus trees and clones others); ii) Testing standards and examples; iii) Effect of seed and seedling material not intended for use as FRM on forest genetic resources; iv) Breeding effects on basic material including conservation strategy; v) Harvesting, processing and storage of seeds; vi) Nursery practices; vii) Certification and Traceability; and viii) FRM Trading and Transport. Chapter 3 examines FRM with regard to: i) Forest regeneration strategies % especially considering climate change, and ii) Assisted migration and available decision support tools. Chapter 4 provides a detailed overview of forest establishment methods, and chapter 5 looks at keeping records of seed origin to improve forest management. The final chapter offers 38 recommendations arising from the review. This work is the result of an international collaboration rooted in EUFORGEN for more than two decades. It is built on the firm belief that the genetic element is decisive for the creation of a resilient forest capable of surviving threats and adapting to changes, thus enabling the evolution of ecosystems and the conservation of the productive landscape.
Keywords: forest reproductive material
Published in DiRROS: 05.11.2021; Views: 648; Downloads: 341
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Abstract: WorldClim version 1 is a high-resolution, global climate gridded dataset covering 1961-1990; a ˝normal˝ climate. It has been widely used for ecological studies thanks to its free availability and global coverage. This study aims to evaluate the quality of WorldClim data by quantifying any discrepancies by comparison with an independent dataset of measured temperature and precipitation records across Europe. BIO1 (mean annual temperature, MAT) and BIO12 (mean total annual precipitation, MAP) were used as proxies to evaluate the spatial accuracy of the WorldClim grids. While good representativeness was detected for MAT, the study demonstrated a bias with respect to MAP. The average difference between WorldClim predictions and climate observations was around +0.2 °C for MAT and -48.7 mm for MAP, with large variability. The regression analysis revealed a good correlation and adequate proportion of explained variance for MAT (adjusted R2 = 0.856) but results for MAP were poor, with just 64% of the variance explained (adjusted R2 = 0.642). Moreover no spatial structure was found across Europe, nor any statistical relationship with elevation, latitude, or longitude, the environmental predictors used to generate climate surfaces. A detectable spatial autocorrelation was only detectable for the two most thoroughly sampled countries (Germany and Sweden). Although further adjustments might be evaluated by means of geostatistical methods (i.e., kriging), the huge environmental variability of the European environment deeply stressed the WorldClim database. Overall, these results show the importance of an adequate spatial structure of meteorological stations as fundamental to improve the reliability of climate surfaces and derived products of the research (i.e., statistical models, future projections).
Keywords: spatial analysis, spatial interpolation, geostatistics, ecological mathematics
Published in DiRROS: 20.02.2020; Views: 1550; Downloads: 942
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