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Institute of

FG Forest Genetics

Project

GTTN


Involved Institutes HF Institute of Wood Research

©

Establishment of a genetic monitoring network for European beech and Norway spruce in Germany to evaluate the genetic adaptability to climate change

A genetic monitoring network will be installed for beech and fir in Germany for the first time. The main goal is to assess the status of the genetic system of different populations as well as its dynamics in time and space

Background and Objective

Within the project a genetic monitoring network will be installed for beech and fir in Germany for the first time. The main goal is to assess the genetic variation and the status of the genetic system of different populations as well as its dynamics in time and space on the basis of criteria, indicators and verifiers. Therewith the effects of factors influencing the genetic system in the forests can be estimated and valuated. The genetic monitoring network will comprise 14 plots for beech and 10 plots for fir. The methodology is based on the "Concept of a Genetic Monitoring of Forest Tree Species in the Federal Republic of Germany" but takes into account also experiences from punctual pilot studies. On each plot both genetic and phenological observation will be conducted. Genetic investigations will be based on neutral nuclear microsatellites. Based on the genotypes of the adult trees, natural regeneration and the seeds indicators for genetic processes (e.g. genetic multiplicity, diversity and allele distribution) will be calculated. New adaptive markers (SNP) related with phenotypical traits will be developed. In order to identify any critical development caused by human intervention or climate change the temporal and spatial dynamics of the genetic and demographical composition of tree populations will be simulated based on empirical monitoring data.

Approach

The project work will be divided in seven work packages as follows:
AP1 - Project coordination and data base management
AP2 - Continuation of monitoring for beech on already installed plots
AP3 - Installation of new genetic monitoring plots for beech
AP4 - Installation of new genetic monitoring plots for spruce
AP5 - Genetic analysis (beech and spruce)
AP6 - Data evaluation and simulation studies
AP7 - Methodological enhancements (improvements)

Involved external Thünen-Partners

  • European Forest Institute (EFI)
    (Joensuu, Finnland)

Funding Body

  • Federal Ministry of Food und Agriculture (BMEL)
    (national, öffentlich)

Duration

11.2016 - 6.2020

More Information

Project status: finished

Publications

  1. 0

    Garcia-Davila CR, Aldana Gomero D, Renno J-F, Diaz Soria R, Hidalgo Pizango G, Flores Llampazo G, Castro-Ruiz D, Mejia de Loayza E, Angulo Chavez C, Mader M, Tysklind N, Paredes-Villanueva K, del Castillo Torres D, Degen B, Honorio Coronado EN (2020) Molecular evidence for three genetic species of Dipteryx in the Peruvian Amazon. Genetica 148:1-11, DOI:10.1007/s10709-019-00082-2

  2. 1

    Schmitz N, Beeckman H, Blanc-Jolivet C, Boeschoten L, Braga JWB, Cabezas JA, Chaix G, Crameri S, Degen B, Deklerck V, Dormontt EE, Espinoza E, Gasson P, Haag V, Helmling S, Horacek M, Koch G, Lancaster C, Olbrich A, Zemke V, et al (2020) Overview of current practices in data analysis for wood identification : A guide for the different timber tracking methods. GTTN secretariat, European Forest Institute and Thünen Institute, 141 p, DOI:10.13140/RG.2.2.21518.79689

  3. 2

    Braga WB, Deklerck V, Espinoza E, Groening M, Koch G, Monteiro Pastore TC, Ramananantoandro T, Schröder H, Watkinson C, Wiedenhoeft AC, van Brusselen J, Bolanos J, Schmitz N (2020) Scientific methods for taxonomic and origin identification of timber [online]. GTTN (Global Timber Tracking Network), 6 p, zu finden in <https://www.researchgate.net/publication/342003654> [zitiert am 11.08.2021], DOI:10.13140/RG.2.2.28416.46087

    https://literatur.thuenen.de/digbib_extern/dn063816.pdf

  4. 3

    Schmitz N, Bouda ZH-N, Honorio Coronado EN, Gyimah R, Lee CT, Paredes-Villanueva K, Mohamed R, Ramananantoandro T, Zunino AR, Siregar IZ, Yene G, van Brusselen J, Bolanos J (eds) (2020) Successful global partnerships : a guide focused on timber tracking research [online]. GTTN (Global Timber Tracking Network), 23 p, zu finden in <https://www.researchgate.net/publication/342003902> [zitiert am 11.08.2021], DOI:10.13140/RG.2.2.33528.26881

    https://literatur.thuenen.de/digbib_extern/dn063815.pdf

  5. 4

    Honorio Coronado EN, Blanc-Jolivet C, Mader M, Garcia-Davila CR, Sebbenn AM, Meyer-Sand BRV, Paredes-Villanueva K, Tysklind N, Troispoux V, Massot M, Degen B (2019) Development of nuclear and plastid SNP markers for genetic studies of Dipteryx tree species in Amazonia. Conserv Genet Resources 11(3):333-336, DOI:10.1007/s12686-019-01081-3

  6. 5

    Schmitz N, Blanc-Jolivet C, Cervera MT, Chavesta M, Cronn R, Deklerck V, Diaz-Sala C, Dormontt EE, Gasson P, Gehl D, Haag V, Hermanson JC, Honorio Coronado EN, Lancaster C, Lens F, Liendo Hoyos EP, Martinez-Jarquin S, Montenegro R, Degen B, Koch G, et al (2019) General sampling guide for timber tracking : How to collect reference samples for timber identification. GTTN (Global Timber Tracking Network), 43 p, DOI:10.13140/RG.2.2.26883.96806

  7. 6

    Pakull B, Ekue MRM, Bouka Dipelet UG, Doumenge C, McKey DB, Loumeto JJ, Opuni-Frimpong E, Yorou SN, Nacoulma BMY, Guelly KA, Ramamonjisoa L, Thomas D, Guichoux E, Loo J, Degen B (2019) Genetic diversity and differentiation among the species of African mahogany (Khaya spp.) based on a large SNP array. Conserv Genet(20):1035-1044, DOI:10.1007/s10592-019-01191-3

  8. 7

    Chaves CL, Blanc-Jolivet C, Sebbenn AM, Mader M, Meyer-Sand BRV, Paredes-Villanueva K, Honorio Coronado EN, Garcia-Davila CR, Tysklind N, Troispoux V, Massot M, Degen B (2019) Nuclear and chloroplastic SNP markers for genetic studies of timber origin for Hymenaea trees. Conserv Genet Resources 11(3):329-331, DOI:10.1007/s12686-018-1077-1

  9. 8

    Schmitz N, Beeckman H, Cabezas JA, Cervera MT, Espinoza E, Fernandez-Golfin J, Gasson P, Hermanson JC, Arteaga MJ, Koch G, Lens F, Martinez-Jarquin S, Paredes-Villanueva K, Pastore TCM, Ramananantoandro T, Schraml R, Schröder H, Sebbenn AM, Tysklind N, Watkinson C, et al (2019) The Timber Tracking Tool Infogram : overview of wood identification methods´ capacity. GTTN (Global Timber Tracking Network), 5 p, DOI:10.13140/RG.2.2.27920.25603

  10. 9

    Buschbom J (2018) Exploring and validating statistical reliability in forensic conservation genetics. Braunschweig: Johann Heinrich von Thünen-Institut, 104 p, Thünen Rep 63, DOI:10.3220/REP1539879578000

    https://literatur.thuenen.de/digbib_extern/dn060172.pdf

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