Developing a growth and yield model for planted big-leaf mahogany (Swietenia macrophylla King) at advanced age in subtropical moist forest in Puerto Rico

Autor: Jimena Forero-Montaña, Jess K. Zimmerman, Edgardo González, Frank Wadsworth, Sheila Ward, Elvia J. Meléndez Ackerman, Luis E. Santiago, Carlos A. Lee

Publikováno v: Trees, Forests and People, Vol 5, Iss , Pp 100113- (2021)

The ability to predict growth and potential yield is essential for planning forest management. Here we developed a narrow size-class diameter model to simulate growth in a mature plantation (age 42 years) of big-leaf mahogany (Swietenia macrophylla K

Externí odkaz: https://doaj.org/article/9b466bd54f074a08aff8d6775a2df6ae

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Debunking the forest rent model fallacy in a fully regulated forest

Autor: Yan Chen, Fan Zhang, Sun Joseph Chang

Publikováno v: European Journal of Forest Research. 139:145-150

In this paper, we first show both mathematically and empirically that the forest rent model is the wrong model to determine the optimal rotation age of a fully regulated forest as long as the standing timber has value. We then demonstrate that even i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::154ec88578f2f9d81e12c9bd1d05a97c
https://doi.org/10.1007/s10342-019-01240-z

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Age trends in genetic parameters for growth performance across country-wide provenances of the iconic conifer tree Araucaria angustifolia show strong prospects for systematic breeding and early selection

Autor: Rafael Tassinari Resende, Alexandre Magno Sebbenn, Valderês Aparecida de Sousa, Dario Grattapaglia, Pedro Italo Tanno Silva, Miguel Luiz Menezes Freitas, Orzenil B. Silva-Junior, Ananda Virginia de Aguiar

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

Understanding the growth patterns of long-lived conifer tree species is important to devise breeding and early selection strategies, predict future biomass productivity and assess adaptive tree fitness for long term conservation efforts. We investiga

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a02cb2478f63d67b0e1917e57cb438e3
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1134780