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  • 标题:Potencial de mitigación del cambio climático de los ecosistemas forestales caducifolios en Costa Rica: modelos predictivos de biomasa y carbono
  • 本地全文:下载
  • 作者:William Fonseca-González ; Ronny Villalobos-Chacón ; Marilyn Rojas-Vargas
  • 期刊名称:Revista de Ciencias Ambientales
  • 印刷版ISSN:2215-3896
  • 出版年度:2019
  • 卷号:53
  • 期号:2
  • 页码:111-131
  • DOI:10.15359/rca.53-2.6
  • 出版社:Universidad Nacional de Costa Rica
  • 摘要:0.93) y predijeron tanto la biomasa como el carbono con bajos errores de estimación.La biomasa total en el ecosistema fue de 140.0 Mg ha-1 (65.5 Mg C ha-1), un 93.6 % corresponde a biomasa o carbono en los árboles.La fracción de carbono entre los componentes varió entre 39.1 y 42.8 %.El factor de expansión de biomasa para incluir hojas, rama y raíz fue de 2.09; 1.69, para incluir hojas y ramas, y 1.37, solo para la raíz.Los modelos elegidos se caracterizan por su fácil aplicación, por usar como variable predictora el diámetro o el área basal, ambas fáciles de medir o de calcular en todo inventario forestal.Asimismo, la biomasa y el carbono calculados en el nivel de ecosistema y por árbol, los valores de fracción de carbono en la biomasa y los factores de expansión están entre los rangos citados en otras investigaciones, convirtiéndolos, así, en indicadores nacionales que facilitan estimar, con mayor exactitud, el aporte del ecosistema a la mitigación del cambio climático.
  • 其他摘要:Abstract Plant cover, mainly forests, plays a key role in mitigating climate change. Biomass and stored carbon were calculated for primary and secondary deciduous forests in the Northern Pacific region of Costa Rica, and predictive models for biomass and carbon were developed. Using random sampling of nested plots and the destructive method, the amount of arboreal and subterranean biomass of trees of average diameter, necromass and herbaceous vegetation were evaluated. The models were constructed for the entire tree and its components (trunk, roots, branches and leaves), using normal diameter as a predictor variable; in models to quantify biomass and carbon per hectare, basal area was used. All models fit the data well (R2> 0.93) and predict biomass and carbon with low estimation errors. The total biomass in the ecosystem was 140.0 Mg ha-1 (65.5 Mg C ha-1), with 93.6 % corresponding to biomass or carbon in trees. The carbon fraction among the components varied between 39.1% and 42.8%, while the biomass expansion factor to include leaves, branches and roots was 2.09; 1.69 to include leaves and branches, and 1.37 for roots alone. All the models chosen to estimate biomass or carbon are characterized by their ease of application, using either diameter or basal area as a predictor variable, both of which are simple to measure or calculate in any forest inventory. Biomass and carbon calculated at the ecosystem and tree levels, biomass carbon fraction values and expansion factors are within the ranges cited in other investigations, thus making them national indicators that facilitate more accurate estimations of the contribution of ecosystems to the mitigation of climate change.
  • 关键词:alometría;bosque tropical;inventario forestal;servicios ambientales
  • 其他关键词:allometry;environmental services;forest inventory;tropical forest
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