Fecha/hora: 08/06/2024 22:57:49

Biblioteca(s): | INIA Tacuarembó.
Fecha corriente: | 09/09/2014
Fecha de la última actualización: | 02/06/2020
Autoria: | GRAUDAL, L.; ARAVANOPOULOS, F.; BENNADJI, Z.; CHANGTRAGOON, S.; FADY, B.; KJAER, E.D.; LOO, J.; RAMAMONJISOA, L.; VENDRAMIN, G.G.
Afiliación: | LARS GRAUDAL, Forest & Landscape Denmark, University of Copenhagen, Denmark; FILIPPOS ARAVANOPOULOS, Aristotle University of Thesaloniki, Greece.; ZOHRA BENNADJI SOUALHIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SUCHITRA CHANGTRAGOON, Forest and Plant Conservation Research Office, Department of National Parks, Wildlife and Plant Conservation, Thailand; BRUNO FADY, Institut National de la Recherche Agronomique (INRA) Avignon, France; ERIK D. KJAER, Forest & Landscape Denmark, University of Copenhagen, Denmark; JUDY LOO, Bioversity International, Rome, Italy; LOLONA RAMAMONJISOA, Silo National des Graines Forestieres, Madagascar; GIOVANNI G. VENDRAMIN, Consiglio Nazionale delle Ricerche (CNR) Florence, Italy.
Título: | Global to local genetic diversity indicators of evolutionary potential in tree species within and outside forests.
Año de publicación: | 2014
Fuente/Imprenta: | Forest Ecology and Management, Volume 333, 1 December 2014, Pages 35-51. DOI:  https://doi.org/10.1016/j.foreco.2014.05.002
DOI: | 10.1016/j.foreco.2014.05.002
Idioma: | Inglés
Notas: | Article history: Available online 13 June 2014.

Contenido:

There is a general trend of biodiversity loss at global, regional, national and local levels. To monitor this trend, international policy processes have created a wealth of indicators over the last two decades. However, genetic diversity indicators are regrettably absent from comprehensive bio-monitoring schemes.
Here, we provide a review and an assessment of the different attempts made to provide such indicators for tree genetic diversity from the global level down to the level of the management unit. So far, no generally accepted indicators have been provided as international standards, nor tested for their possible use in practice. We suggest that indicators for monitoring genetic diversity and dynamics should be based on ecological and demographic surrogates of adaptive diversity as well as genetic markers capable of identifying genetic erosion and gene flow. A comparison of past and present genecological distributions (patterns of genetic variation of key adaptive traits in the ecological space) of selected species is a realistic way of assessing the trend of intra-specific variation, and thus provides a state indicator of tree genetic diversity also able to reflect possible pressures threatening genetic diversity. Revealing benefits of genetic diversity related to ecosystem services is complex, but current trends in plantation performance offer the possibility of an indicator of benefit. Response indicators are generally much easier to define, because recognition
and even quantification of, e.g., research, education, breeding, conservation, and regulation actions and programs are relatively straightforward. Only state indicators can reveal genetic patterns and processes, which are fundamental for maintaining genetic diversity. Indirect indicators of pressure, benefit, or response should therefore not be used independently of state indicators. A coherent set of indicators covering diversity?productivity?knowledge?management based on the genecological approach is proposed for application on appropriate groups of tree species in the wild and in cultivation worldwide.
These indicators realistically reflect the state, trends and potentials of the world?s tree genetic resources to support sustainable growth. The state of the genetic iversity will be based on trends in population distributions and diversity patterns for selected species. The productivity of the genetic resource of trees in current use will reflect the possible potential of mobilizing the resource further. Trends in knowledge will underpin the potential capacity for development of the resource and current anagement of the genetic resource itself will reveal how well we are actually doing and where improvements are required.

Palabras-Clave: | DIVERSITY; GENETIC AND DEMOGRAPHIC VERIFIERS; KNOWLEDGE; MANAGEMENT; PRODUCTIVITY; THE GENECOLOGICAL APPROACH; TYPE OF INDICATORS.
Thesagro: | FORESTACIÓN; GENETICA FORESTAL.
Categoría del tema: | K10 Producción forestal
Registro original: | INIA Tacuarembó (TBO)
Ejemplares: | TBO - (100024-1) - PXI - AP - PP - PP/FOREST ECOLOGY AND MANAGEENT/2014 -  -  - DIS