Abstract
Along four chronosequences of fire-prone Siberian Scots pine forests we compared net primary production (NPP) and two different mass-based estimates of net ecosystem productivity (NEPC and NEPS). NEPC quantifies changes in carbon pools along the chronosequences, whereas NEPS estimates the short-term stand-level carbon balance in intervals between fires. The chronosequences differed in the mean return interval of surface fires (unburned or moderately burned, 40 yr; heavily burned, 25 yr) and site quality (lichen versus Vaccinium type). Of the Vaccinium type (higher site quality) only a moderately burned chronosequence was studied.NEPC was derived from the rate of changes of two major carbon pools along the chronosequence time axes: (1) decomposition of old coarse woody debris (CWD) left from the previous generation after stand-replacing fire, and (2) accumulation of new carbon in biomass, CWD and soil organic layer by the regenerating stand. Young stands of all chronosequences were losing carbon at rates of−4 to −19 mol C m−2 yr−1(−48 to −228 g C m−2 yr−1). Depending on initial CWD pools and site-specific accumulation rates the stands became net carbon sinks after 12 yr (Vaccinium type) to 24 yr (lichen type) following the stand-replacing fire and offset initial carbon losses after 27 and 70 yr, respectively. Highest NEPC was reached in the unburned chronosequence (10.8 mol C m−2 yr−1 or 130 g C m−2 yr−1). Maximum NEPC in the burned chronosequences ranged from 1.8 to 5.1 mol C m−2 yr−1 (22 to 61 g C m−2 yr−1) depending on site quality and fire regime. Around a stand age of 200 yr NEPC was 1.6 ± 0.6 mol C m−2 yr−1 (19 ± 7 g C m−2 yr−1) across all chronosequences. NEPS represents the current stand-level carbon accumulation in intervals between recurring surface fires and can be viewed as a mass-based analogue of net ecosystem exchange measured with flux towers. It was estimated based on measurements of current woody NPP, modelled decomposition of measured CWD pools and organic layer accumulation as a function of time since the last surface fire, but ignores carbon dynamics in the mineral soil. In burned mature lichen type stands, NEPS was 6.2 ± 2.6 mol C m−2 yr−1 (74 ± 31 g C m−2 yr−1) and thus five times higher than NEPC at the respective age (1.2 ± 0.6 mol C m−2 yr−1 or 14 ± 7 g C m−2 yr−1). Comparing NEPS and NEPC of mature stands, we estimate that 48% of NPP are consumed by heterotrophic respiration and additional 35% are consumed by recurrent surface fires. As expected, in unburned stands NEPC and NEPS were of similar magnitude. Exploring a site specific model of CWD production and decomposition we estimated that fire reduces the carbon pool of newly produced CWD by 70%. Direct observation revealed that surface fire events consume 50% of the soil organic layer carbon pool (excluding CWD). We conclude that surface fires strongly reduced NEPC. In ecosystems with frequent fire events direct flux measurements using eddy covariance are likely to record high rates of carbon uptake, since they describe the behaviour of ecosystems recovering from fire without capturing the sporadic but substantial fire-related carbon losses.
Highlights
Carbon flux measurements carried out over ecosystems, landscapes and whole continents provide only a snap-shot view of the carbon cycle, a very detailed one
Under the absence of recurrent surface fires for an unusually long period of 95 yr did the oldest stand of the unburned lichen-type chronosequence (95lu) reach the same level of Cnew (908 ± 73 mol C m−2) as the 95vm-yr-old stand of the Vaccinium type (940 ± 264 mol C m−2) that had burned at the age of 45 yr
Validity of model assumptions Clearly, our estimates of net ecosystem productivity (NEPC), NEPS and the build up of coarse woody debris pool (CWDl) pools are sensitive to variations in the decay constants k that were derived from our data to model fluxes related to decomposition of coarse woody debris (CWD)
Summary
Carbon flux measurements carried out over ecosystems (eddy covariance technique), landscapes (convective boundary layer budgeting) and whole continents (inversion modelling techniques) provide only a snap-shot view of the carbon cycle, a very detailed one. Since environmental variables are recorded with the same temporal resolution, these methods are ideal to explore short-term climatic controls of carbon exchange and are crucial to understand the mechanisms underlying interannual variability (Lloyd et al, 2002). Direct flux measurements, even if they would cover several successional stages of a disturbance cycle (Schulze et al, 2000; Amiro, 2001), only describe the short-term behaviour of long-lived biological structures (namely forest ecosystems). Understanding present fluxes requires knowledge about environmental and biotic control of growth and regulation of stand density in terms of recruitment and survival
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