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Changing Trends of Biomass and Carbon Pools in Mediterranean Pine Forests

  • Cristina GómezEmail author
  • Joanne C. White
  • Michael A. Wulder
Chapter
Part of the Managing Forest Ecosystems book series (MAFE, volume 34)

Abstract

The amount of biomass in forest ecosystems is critical information for global carbon cycle modelling. Determination of forest function as a sink or source of carbon is likewise relevant for both scientific applications and policy formulation. The quantity and function of forest biomass in the global carbon cycle is dynamic and changes as a result of natural and anthropogenic processes. This dynamism necessitates monitoring capacity that enables the characterization of changes in forest biomass over time and space. By combining field inventory and remotely sensed data, it is possible to characterize the quantity of biomass for a single date, or to characterize trends in quantity and function of forest biomass through time. Field inventory data provides accurate information for calibration of spatially extensive remotely sensed data models and for model validation as well. Historical, repeat measures of the same field plots facilitate the estimation of temporal trends in biomass accrual or removal, as well as carbon pooling processes. Remotely sensed data enable the inference of trends over large areas, and historical data archives can support retrospective analyses and the establishment of a baseline for future monitoring efforts. This chapter describes some of the opportunities provided by synergies between field measures and remotely sensed data for biomass and carbon assessment over large areas, and describes a case study in the Mediterranean pines of Spain, in which biomass and carbon pooling for the period 1984 to 2009 are estimated with a time series of Landsat imagery supported with data from the Spanish National Forest Inventory.

Keywords

Carbon Stock Forest Biomass National Forest Inventory Process Indicator Temporal Trajectory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This work was done under the project “Estructura, dinámica y selvicultura para la conservación y el uso sostenible de los bosques en el Sistema Central” (VA-096-A05) with funding from Consejería de Educación, Junta de Castilla y León, Plan Regional I+D+I. Field data was provided by Consejería de Medio Ambiente y Ordenación Territorial de Castilla y León.

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© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Cristina Gómez
    • 1
    • 2
    Email author
  • Joanne C. White
    • 3
  • Michael A. Wulder
    • 3
  1. 1.Sustainable Forest Management Research InstituteUniversidad de Valladolid & INIAValladolidSpain
  2. 2.Department of Geography and Environment, School of GeoscienceUniversity of AberdeenAberdeenUK
  3. 3.Canadian Forest Service (Pacific Forestry Centre), Natural Resources CanadaVictoriaCanada

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