2014
DOI: 10.1002/2014ms000317
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Impacts of forest harvest on cold season land surface conditions and land‐atmosphere interactions in northern Great Lakes states

Abstract: Land cover change, including temporary disturbances such as forest harvests, can significantly affect established regimes of surface energy balance and moisture exchange, altering flux processes that drive weather and climate. We examined the impacts of forest harvest on winter land-atmosphere interactions in a temperate region using high-resolution numerical modeling methods in paired simulations. Using the WRF-ARW atmospheric model and the Noah land surface model, we simulated the balance of surface sensible… Show more

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Cited by 8 publications
(6 citation statements)
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“…In Chapter 2 [Garcia et al 2014], I presented an idealized simulation using a coupled landatmosphere modeling system to investigate the differences in land surface conditions and heat fluxes between forested and harvested (clear-cut) areas under Winter conditions. Though this represents an extreme case of changed vegetation state-a stand-replacing forest disturbance, rather than the incremental changes over an undisturbed forest phenological cycle-it provides some guidance regarding model capabilities as well as the magnitudes of possible changes to surface fluxes that might be expected in further simulations under growing-season conditions.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In Chapter 2 [Garcia et al 2014], I presented an idealized simulation using a coupled landatmosphere modeling system to investigate the differences in land surface conditions and heat fluxes between forested and harvested (clear-cut) areas under Winter conditions. Though this represents an extreme case of changed vegetation state-a stand-replacing forest disturbance, rather than the incremental changes over an undisturbed forest phenological cycle-it provides some guidance regarding model capabilities as well as the magnitudes of possible changes to surface fluxes that might be expected in further simulations under growing-season conditions.…”
Section: Discussionmentioning
confidence: 99%
“…In Chapter 2 [Garcia et al, 2014], I present an example of the way the land surface is often represented in meteorological models, demonstrating differences in model results at high resolution (100m grid spacing) when the underlying land cover is changed. This experiment depicts a categorical change in land cover type, but is intended to suggest possibilities for better representation of land cover (especially forests) by moving away from the categorical, bulk parameter representation to observationbased and more location-and climate-sensitive specifications of important land surface parameters.…”
Section: Land-atmosphere Modeling Examplementioning
confidence: 99%
“…The wet and dry fractions of each canopy and soil layers are calculated dynamically using Gash's canopy water balance model resolved at an hourly time step (Eqs. S11-S14, Gash, 1979). This model, which needs few parameters, estimates the interception of incident rainfall by the canopy and the depth of water retained on the canopy.…”
Section: Momentum and Heat Transfermentioning
confidence: 99%
“…Management affects the entire forest life cycle through many aspects such as the soil preparation, drainage, fertilization, tree stand species composition, age-class distribution, tree regeneration, thinning and harvest, control of diseases, pests and fires, and land-use changes. Many forest operations involved in modern forestry drastically change key canopy properties such as its albedo, roughness, leaf area index, standing biomass and number of stems per hectare (Garcia et al, 2014;Kuusinen et al, 2014;Otto et al, 2014). Important soil properties (heat and water storage capacities, cation exchange capacity, nutrient stocks) are also affected by forest operations that are common in managed forests (logging, soil preparation, drainage, fertilization, liming) with significant but controversial impacts on carbon dynamics (Stromgren et al, 2013;Achat et al, 2015;Jurevics et al, 2016;Erb et al, 2017;Zhang et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…This effect was most notable at NWU where the snowpack was almost twice as deep than at the southern locations ( Figure A3-1). While snow compaction has no effect on frozen soil rutting, it has been shown to cause soils along the tracks to freeze deeper and longer, thereby delaying soil thawing along the established tracks (Grady, 1982;Garcia et al, 2015).…”
Section: Season and Weather Detailsmentioning
confidence: 99%