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Your search keyword '"Forest landscape model"' showing total 3 results
Start Over Descriptor "Forest landscape model" Publisher elsevier
3 results on '"Forest landscape model"'

1. Evaluating the long-term effects of near-natural restoration on post-fire forest dynamics in a wildland-urban interface landscape

Author

Yang Lin, Lei Fang, Wangming Zhou, Zeyu Qiao, Yu Chang, Xinran Yu, Yuanyuan Li, Ping Ren, and Jiangtao Xiao

Subjects
Wildland-urban interface, Wildland fire, Near-natural restoration, Forest landscape model, Aboveground biomass, Biodiversity, Ecology, QH540-549.5
Abstract

Forests in the wildland-urban interface (WUI) are of high value but vulnerable to wildland fires due to abundant fire ignitions and flammable forest fuels. Restoring the post-fire Wildland-Urban Interface (WUI) forest landscape is of utmost importance in order to maintain ecosystem service provision. The near-natural restoration strategy is widely employed in vegetation restoration as it enables the formation of healthy, stable, and diverse artificial mixed forests that resemble natural forests. To evaluate the long-term effects of near-natural restoration on the WUI forest landscape, which are largely unclear, we used a wildfire in 2019 near Shenyang City in northeast China as an example and investigated the post-fire forest dynamics under two different scenarios (i.e., natural succession and near-natural restoration) based on the forest landscape model. The results demonstrated that near-natural restoration can significantly accelerate the restoration process in terms of forest biomass, species biodiversity, and age structure. Under the near-natural restoration scenario, the biomass of the burned area can be quickly restored within 20 years after the fire. At the species level, the biomass and proportion of pioneer tree species such as Pinus tabuliformis and Robinia pseudoacacia decreased under the near-natural restoration scenario, while other species started to increase. Then post-fire near-natural planting accelerated the restoration of forest biodiversity, by 2070, the Shannon–Wiener index was predicted to be 1.49 under natural succession and remained at 2.02 under near-natural restoration. In terms of age structure, near-natural restoration shortens the recovery time of fire trails to mature forests. In summary, near-natural restoration accelerates forest recovery in post-fire WUI areas. Our results highlighted the impact of near-natural restoration on forest conservation to inform post-fire forest planning and management practices.

Published
2024
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2. Long-term cumulative impacts of windthrow and subsequent management on tree species composition and aboveground biomass : A simulation study considering regeneration on downed logs

Author

Hotta, Wataru, Morimoto, Junko, Haga, Chihiro, Suzuki, Satoshi N., Inoue, Takahiro, Matsui, Takanori, Owari, Toshiaki, Shibata, Hideaki, Nakamura, Futoshi, Hotta, Wataru, Morimoto, Junko, Haga, Chihiro, Suzuki, Satoshi N., Inoue, Takahiro, Matsui, Takanori, Owari, Toshiaki, Shibata, Hideaki, and Nakamura, Futoshi

Abstract

Post-windthrow management delays forest biomass recovery by altering the situation of disturbance legacies and can change the species composition. Although the short-term effects of post-windthrow management have been well studied, we do not have enough knowledge about the long-term effects of post-windthrow management on species composition and biomass recovery. Those effects associated with an increase in the windthrow frequency are also unknown. Although forest landscape models can effectively evaluate these effects, conventional models do not represent the regeneration process on downed logs, which is essential for simulating forest succession. We focused on hemiboreal forests in northern Japan and aimed to (1) incorporate the regeneration process on downed logs into LANDIS-II, which is one of the most used forest landscape models; (2) evaluate the long-term effects of post-windthrow management on tree species composition and aboveground biomass recovery; and (3) evaluate the associated long-term effects of interactions between post-windthrow management and increased windthrow frequency. We incorporated the regeneration process on downed logs into LANDIS-II by regulating the probability of the establishment of species that depend on dead wood, such as spruce, according to the availability of well-decayed dead wood. The incorporation of this process resulted in simulations of trends in species composition and aboveground biomass recovery after post-windthrow management that were more accurate than those produced by the original model. In the modified LANDIS-II simulation, reductions in dead wood and advanced seedlings due to salvage logging had little effect on the tree species composition or aboveground biomass recovery; however, the complete destruction of advanced seedlings by scarification induced a delay in aboveground biomass recovery and a shift to birch-dominated forests that continued for 100 years. In addition, the reduction in dead wood due to salvage

Published
2021

3. A Review of LANDIS and Other Forest Landscape Models for Integration with Wildlife Models

Author

Hong S. He

Subjects
Land type, Geography, Disturbance (ecology), Ecology, Wildlife, Forest landscape, Forest landscape model, Vegetation, Regeneration (ecology), Tree species
Abstract

This chapter reviews the LANDIS and other forest landscape models for integration with wildlife models. LANDIS is a vital-attribute, raster-based forest landscape model. Each raster unit or cell tracks the presence or absence of one to ten year age cohorts of individual species; fuel accumulation level; the time since last disturbance and the time since last management; and species establishment ability in particular land types. For each cell, species birth, growth, death, regeneration, random mortality, and vegetative reproduction are simulated at one to ten year time steps. In LANDIS, vegetation heterogeneity is modeled at multiple hierarchical levels from the landscape to the pixel. Land type captures the highest level (coarse grain) of spatial vegetation-heterogeneity caused by various environmental controls. A somewhat uniform suite of ecological conditions that results in similar species establishment patterns is assumed for each land type. To simulate different types of disturbances and their effects on tree species composition and landscape pattern is central to the design of LANDIS. LANDIS can simulate three different types of natural disturbances (fire, wind, and biological), which can be applied in any combination.

Published
2009
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