Preprint Article Version 1 NOT YET PEER-REVIEWED

Estimate Carbon Stocks Using Spatially-Explicit Approach to Inform MRV for REDD: A Case Study for North America

  1. USDA Forest Service, 11 Campus Blvd, Suite 200, Newtown Square, PA 19073, USA
  2. Commission for Environmental Cooperation, 393 rue St-Jacques Ouest, bureau 200, Montreal, QC H2Y 1N9, Canada
Version 1 : Received: 6 September 2016 / Approved: 7 September 2016 / Online: 7 September 2016 (10:36:29 CEST)

How to cite: Dai, Z.; Birdsey, R.; Dugan, A. Estimate Carbon Stocks Using Spatially-Explicit Approach to Inform MRV for REDD: A Case Study for North America. Preprints 2016, 2016090023 (doi: 10.20944/preprints201609.0023.v1). Dai, Z.; Birdsey, R.; Dugan, A. Estimate Carbon Stocks Using Spatially-Explicit Approach to Inform MRV for REDD: A Case Study for North America. Preprints 2016, 2016090023 (doi: 10.20944/preprints201609.0023.v1).

Abstract

Assessing carbon (C) sequestration in forest ecosystems is fundamental to supply information to monitoring, reporting and verification (MRV) for reducing deforestation and forest degradation (REDD). The spatially-explicit version of Forest-DNDC (FDNDC) was evaluated using plot-based observations from Nez Perce-Clearwater National Forest (NPCNF) in Idaho of United States and used to assess C stocks in the forest of about 16,000 km2. The model evaluation indicated that the FDNDC can be used to assess C stocks with disturbances in this temperate forest with a proper model performance efficiency and small error between observations and simulations. Aboveground biomass in this forest was 85.1 Mg C ha-1 in 2010. The mean aboveground biomass in the forest increased by about 0.6 Mg C ha-1 yr-1 in the last 20 years from 1990 to 2010 with spatial mean stand age about 98 years old in 2010. Spatial differences in distributions of biomass, net primary production and net ecosystem product are substantial. The spatial divergence in C sequestration is mainly associated with the spatial disparities in stand age due to disturbances, secondly with ecological drivers and species. Climate variability and change can substantially impact C stocks in the forest based on the climatic variability of spatial climate data for a 33-year period from 1981 to 2013. Temperature rise can produce more biomass in NPCNF, but biomass cannot increase with an increase in precipitation in this forest. The simulation with disturbances using observations and estimates for the time period from 1991 to 2011showed the effects of disturbances on C stocks in forests. The impacts of fires and insects on C stocks in this forest are highly dependent on the severity, the higher, the more C loss to atmosphere due to fires, and the more dead woods produced by fires and insects. The rates of biomass increase with an increase in stand age are different among the species. The changes in forest C stocks in the forest are almost species specific, non-linear and complex. The increase in aboveground biomass with an increase in stand age can be described by a high-order polynomial.

Subject Areas

insects; fire; biomass; Forest-DNDC; spatially-explicit modeling approach

Readers' Comments and Ratings (0)

Discuss and rate this article
Views 112
Downloads 160
Comments 0
Metrics 0
Discuss and rate this article

×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.