High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest
Accurate assessment of forest carbon storage and uptake is central to policymaking aimed at mitigating climate change and understanding the role forests play in the global carbon cycle. Disturbances have highly diverse impacts on forest carbon dynamics, making them a challenge to quantify and rep...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-11-01
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Series: | Biogeosciences |
Online Access: | https://www.biogeosciences.net/13/6321/2016/bg-13-6321-2016.pdf |
Summary: | Accurate assessment of forest carbon storage and uptake
is central to policymaking aimed at mitigating climate change and understanding the role forests play in the global carbon cycle. Disturbances have
highly diverse impacts on forest carbon dynamics, making them a challenge
to quantify and report. Time since disturbance is a key intermediate
determinant that aids the assessment of disturbance-driven carbon emissions
and removals legacies. We propose a new methodology of quantifying time
since disturbance and carbon flux across forested landscapes in the Pacific
Northwest (PNW) at a fine scale (30 m) by combining remote sensing (RS)-based disturbance year, disturbance type, and above-ground biomass with
forest inventory data. When a recent disturbance is detected, time since
disturbance can be directly determined by combining three RS-derived
disturbance products, or time since the last stand clearing can be
inferred from a RS-derived 30 m biomass map and field inventory-derived
species-specific biomass accumulation curves. Net ecosystem productivity
(NEP) is further mapped based on carbon stock and flux trajectories derived
from the Carnegie-Ames-Stanford Approach (CASA) model in our prior work that
described how NEP changes with time following harvest, fire, or bark beetle
disturbances of varying severity. Uncertainties from biomass map and forest
inventory data were propagated by probabilistic sampling to provide a
statistical distribution of stand age and NEP for each forest pixel. We mapped
mean, standard deviation, and statistical distribution of stand age and NEP at
30 m in the PNW region. Our map indicated a net ecosystem productivity of
5.9 Tg C yr<sup>−1</sup> for forestlands circa 2010 in the study area, with net
uptake in relatively mature (> 24 years old) forests (13.6 Tg C yr<sup>−1</sup>) overwhelming net negative NEP from tracts that had recent
harvests
(−6.4 Tg C yr<sup>−1</sup>), fires (−0.5 Tg C yr<sup>−1</sup>), and bark beetle outbreaks
(−0.8 Tg C yr<sup>−1</sup>). The approach will be applied to forestlands in other
regions of the conterminous US to advance a more comprehensive monitoring,
mapping, and reporting of the carbon consequences of forest change across the
US. |
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ISSN: | 1726-4170 1726-4189 |