Spatially explicit surface energy budget and partitioning with remote sensing and flux measurements in a boreal region of Interior Alaska

Huang, Shengli; Dahal, Devendra; Singh, R. K.; Li, Heping; Young, Claudia

doi:10.1007/s00704-012-0806-8

Cited by 3 publications

(4 citation statements)

References 33 publications

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“…Although observational evidence of Δ G in Nordic Fennoscandia is lacking (existing in situ observations are for evergreen needleleaved forests only), results from studies in other regions are comparable. The magnitudes and sign of Δ G in this study for both All DC4 and BDT4 agree with the magnitude and signs of observed Δ G in summer of Beringer et al (2005), Chambers and Chapin (2002), Huang et al (2013), and Liu and Randerson (2008) as shown in Table S4. Future research on the effect that a tree species conversion has on seasonal ground heat fluxes is needed going forward.…”

Section: Discussionsupporting

confidence: 89%

“…The magnitude of the annual Δβ for a simulation mimicking the conversion of existing, predominantly coniferous forests to deciduous forests fell in between the "fully developed" and "undeveloped" conversion scenarios. The sensitivity of Δβ to ΔLAI, Δz top , and ΔSpecies appeared (e.g., Figures 5 and 6) to be in line with that distilled from observations at paired FLUXNET sites in other boreal forest regions (e.g., Beringer et al, 2005;Chambers, 2005;Eugster et al, 2000;Huang et al, 2013;Liu & Randerson, 2008), giving confidence in our modeling results (Table S4).…”

Section: Discussionsupporting

confidence: 84%

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Quantifying Regional Surface Energy Responses to Forest Structural Change in Nordic Fennoscandia

et al. 2020

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In a climate model, surface energy and water fluxes of the vegetated ecosystem largely depend on important structural attributes like leaf area index and canopy height. For forests, management can greatly alter these attributes with resulting consequences for the surface albedo, surface roughness, and evapotranspiration. The sensitivity of surface energy and water budgets to alterations in forest structure is relatively unknown in boreal regions, particularly in Nordic Fennoscandia (Norway, Sweden, and Finland), where the forest management footprint is large. Here we perform offline simulations to quantify the sensitivity of surface heat and moisture fluxes to changes in forest composition and structure across daily, seasonal, and annual time scales. For the region on average, it is found that broadleaved deciduous forests cool the surface by 0.16 K annually and 0.3 K in the growing season owed to higher year‐round albedo and lower Bowen ratio, yet in some locations the local cooling can be as much as 2.4 K and 3.0 K, respectively. Moreover, fully developed forests cool the surface by 0.04 K annually in our domain owed to higher evapotranspiration, reaching up to 0.4 K locally in some locations, whereas undeveloped forests warm annually by 0.14 K owed to much lower evapotranspiration reaching up to 0.8 K for some locations. If regional forests are ever to be managed for the local climate regulation services that they provide, our results are an important first step illuminating the potential adverse impacts or benefits across space and time.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 84%

Quantifying Regional Surface Energy Responses to Forest Structural Change in Nordic Fennoscandia

et al. 2020

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“…Because land surface change caused by fires and the subsequent succession are spatially heterogeneous (Huang et al 2013b), it is likely that the net (warming or cooling) effect and the magnitude of boreal fires on climate depend on local environmental factors such as soil, vegetation, climate, permafrost, and fire regime. The fire-albedo feedback presented here and some earlier studies of carbon cycle (Huang et al 2013c) and latent energy and (or) evapotranspiration (Huang et al 2013a) have demonstrated the variation. Therefore, two directions of research are warranted to advance our knowledge.…”

Section: Discussionmentioning

confidence: 76%

“…However, whether the deciduous forest fires have the same influence as the evergreen fires was an unresolved question . Boreal wildfires alter the surface albedo (Amiro et al 2006;Bond-Lamberty et al 2009;Jin et al 2012aJin et al , 2012b, and the changes show spatiotemporal variation due to the heterogeneity in the burn severity, climate, topography, stand ages, species composition, canopy structure, patterns of succession, biophysical properties, and duration and depth of snow cover (Beck et al 2011;Huang et al 2013aHuang et al , 2013bJin et al 2012aJin et al , 2012bLyons et al 2008). Incoming solar radiation, primarily controlled by the Earth-Sun geometry and cloud cover, also shows spatiotemporal dynamics (Dissing and Wendler 1998;Jin et al 2012b).…”

Section: Introductionmentioning

confidence: 97%

Spatiotemporal variation of surface shortwave forcing from fire-induced albedo change in interior Alaska

Huang

Dahal

et al. 2015

Can. J. For. Res.

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The albedo change caused by fires and the subsequent succession is spatially heterogeneous, leading to the need to assess the spatiotemporal variation of surface shortwave forcing (SSF) as a component to quantify the climate impacts of high-latitude fires. We used an image reconstruction approach to compare postfire albedo with the albedo assuming that no fires had occurred. Combining the fire-caused albedo change from the 2001-2010 fires in interior Alaska and the monthly surface incoming solar radiation, we examined the spatiotemporal variation of SSF in the early successional stage of approximately 10 years. Our results showed that although postfire albedo generally increased in fall, winter, and spring, some burned areas could show an albedo decrease during these seasons. In summer, the albedo increased for several years and then declined again. The spring SSF distribution did not show a latitudinal decrease from south to north as previously reported. The results also indicated that although the SSF is usually largely negative in the early successional years, it may not be significant during the first postfire year. The annual 2005-2010 SSF for the 2004 fire scars was -1.30, -4.40, -3.31, -4.00, -3.42, and -2.47 W·m −2 , respectively. The integrated annual SSF map showed significant spatial variation, with a mean of -3.15 W·m −2 , a standard deviation of 3.26 watts per square metre (W·m −2 ), and 16% of burned areas having positive SSF. Our results suggest that boreal deciduous fires would be less positive for climate change than boreal evergreen fires. Future research is needed to comprehensively investigate the spatiotemporal radiative and nonradiative forcings to determine the effect of boreal fires on the climate.Résumé : La modification de l'albédo causée par les feux et la succession végétale subséquente est spatialement hétérogène. Il est donc nécessaire d'avoir accès à la variation spatio-temporelle du forçage aux courtes longueurs d'onde de la surface en tant que composante pour quantifier les impacts des feux aux latitudes élevées sur le climat. Nous avons utilisé la reconstruction d'image pour comparer l'albédo après feu à celui qu'on aurait pu mesurer s'il n'y avait pas eu de feu. En combinant la modification de l'albédo causée par les feux de 2001 à 2010 à l'intérieur de l'Alaska et le rayonnement solaire mensuel incident à la surface, nous avons étudié la variation spatio-temporelle du forçage au stade précoce de succession sur une période d'environ 10 ans. Nos résultats ont montré que, bien que l'albédo après feu ait généralement augmenté à l'automne, en hiver et au printemps, il pouvait diminuer durant ces saisons dans certaines zones brûlées. En été, l'albédo a augmenté pendant plusieurs années et diminué à nouveau par la suite. Il n'y a pas eu de diminution latitudinale de la distribution printanière du forçage, du sud vers le nord, comme cela a déjà été rapporté. Les résultats indiquent aussi que même si le forçage est habituellement largement négatif durant les premières années de la succe...

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Effects of thinning a forest stand on sub-canopy turbulence

Russell

Thistle

et al. 2018

Agricultural and Forest Meteorology

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Spatially explicit surface energy budget and partitioning with remote sensing and flux measurements in a boreal region of Interior Alaska

Cited by 3 publications

References 33 publications

Quantifying Regional Surface Energy Responses to Forest Structural Change in Nordic Fennoscandia

Quantifying Regional Surface Energy Responses to Forest Structural Change in Nordic Fennoscandia

Spatiotemporal variation of surface shortwave forcing from fire-induced albedo change in interior Alaska

Effects of thinning a forest stand on sub-canopy turbulence

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