Assessing the effect of cell-level uncertainty on a forest landscape model simulation in northeastern China

Xu, Chonggang; He, Hong S.; Hu, Yuanman; Chang, Yu; Larsen, David R.; Li, Xiuzhen; Bu, Rencang

doi:10.1016/j.ecolmodel.2004.01.018

Cited by 51 publications

(46 citation statements)

References 26 publications

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“…Xu et al (2004) studied the applicability and accuracy of LANDIS model in the northern Da Hinggan Mountains, China, and considered that with the current input parameters given, the simulation results are qualitatively consistent with the real situation in terms of species distribution, species composition, and fire disturbance. Cell level uncertainty of initial input data does not affect the overall accuracy at landscape level, especially at later stages of the simulation.…”

Section: Discussionmentioning

confidence: 57%

“…The hypothesis for this model is that most of the ecological parameters such as reestablishment ability, bio-disturbance, topographical condition and fire regime are the same within one land type unit. It has been calibrated and verified in the northern Da Hinggan Mountains by Xu et al (2004;. For detailed model input information, please also refer to Wang et al (2006a;2006b;.…”

Section: Study Areamentioning

confidence: 99%

“…Key parameters of the model are species′ vital attributes (Table 1), including longevity, maturity age, shade tolerance, fire tolerance, seeding distance and vegetative reproduction information for each species, which were derived from field investigation data and pertinent literatures (Zhou, 1991;Xu, 1998;Xu et al, 2004;. Although 8 tree species were simulated, we only report the results for two of them (L. gmelinii and B. platyphylla), since they occupied over 90% of the forest area before the fire and are important timber species in the study area.…”

Section: Study Areamentioning

confidence: 99%

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Tree planting: How fast can it accelerate post-fire forest restoration? — A case study in Northern Da Hinggan Mountains, China

Wang

et al. 2010

Chin. Geogr. Sci.

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In 1987, a catastrophic fire burned over 1 330 000 ha in the densely forested area of the Da Hinggan Mountains in the northeastern China. After the fire, intensive management including burned trunk harvesting and coniferous tree planting had been conducted to accelerate forest restoration. To study the long term effect of these activities on forest recovery, we used a simulation modeling approach to study long-term (300 years) forest dynamics under current planting and natural regeneration scenarios. Results indicate that under tree planting scenario in the severely burned area, the dominant species Dahurian larch (Larix gmelinii) can reach pre-fire level (60% of the area) within 20 years and the maximum abundance can reach nearly 90% within 100 years. While under natural regeneration scenario, it needs about 250 years to reach its pre-fire level. From the perspective of timber production, tree planting can bring twice as much timber volume as that under natural regeneration within 300 years, which is the average longevity of L. gmelinii. It needs about 70 years to reach the timber volume of pre-fire level under the planting scenario, whereas it requires at least 250 years to reach the timber volume of pre-fire level under natural regeneration scenario. Another dominant species Asian White birch (Betula platyphylla) responded negatively to the planting of coniferous species. In general, tree planting of coniferous species after fire can greatly accelerate forest restoration in terms of species abundance and target timber volume, with desirable ecological and economic returns.

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Section: Discussionmentioning

confidence: 57%

Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

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Tree planting: How fast can it accelerate post-fire forest restoration? — A case study in Northern Da Hinggan Mountains, China

Wang

et al. 2010

Chin. Geogr. Sci.

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“…The LANDIS model is developed from the simplification of GAP models, a type of model to simulate the forest growth and succession dynamics at plot level using observed long term forest inventory data (Bugmann 2001). The validity of the LANDIS model assumptions is illustrated in many simulation studies from different forest types including various temperate deciduous forest systems of the Midwestern United States Sturtevant et al 2004a, b) and China (He et al 2002); boreal forest ecosystems of North America (Mehta et al 2004;Pennanen et al 2004), Finland (Pennanen and Kuuluvainen 2002), Russian , and China (Wang et al 2006;Xu et al 2004); coastal chaparral of Southern California, USA (Franklin et al 2001), transitional areas between boreal forest and temperate forest ) and high elevation coniferous forests of Switzerland (Schumacher et al 2004). Furthermore, the PnET-II model has been developed from long-term, highresolution gross and net carbon balance data measured at the Harvard Forest by eddy covariance towers and water and nutrient-balance data sets at Hubbard Brook (Aber and Federer 1992;Rastetter et al 2003).…”

Section: Discussionmentioning

confidence: 99%

Importance of colonization and competition in forest landscape response to global climatic change

Gertner

Scheller

2011

Climatic Change

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The tree species composition of a forested landscape may respond to climate change through two primary successional mechanisms: (1) colonization of suitable habitats and (2) competitive dynamics of established species. In this study, we assessed the relative importance of competition and colonization in forest landscape response (as measured by the forest type composition change) to global climatic change. Specifically, we simulated shifts in forest composition within the Boundary Waters Canoe Area of northern Minnesota during the period 2000-2400 ad. We coupled a forest ecosystem process model, PnET-II, and a spatially dynamic forest landscape model, LANDIS-II, to simulate landscape change. The relative ability of 13 tree species to colonize suitable habitat was represented by the probability of establishment or recruitment. The relative competitive ability was represented by the aboveground net primary production. Both competitive and colonization abilities changed over time in response to climatic change. Our results showed that, given only moderate-frequent windthrow (rotation period = 500 years) and fire disturbances (rotation period = 300 years), competition is relatively more important for the shortterm (<100 years) compositional response to climatic change. For longer-term forest landscape response (>100 years), colonization became relatively more important. However, if more frequent fire disturbances were simulated, then colonization is the dominant process from the beginning of the simulations. Our results suggest that 54 Climatic Change (2012) 110:53-83 the disturbance regime will affect the relative strengths of successional drivers, the understanding of which is critical for future prediction of forest landscape response to global climatic change.

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“…To study the long-term effect of this afforestation activity, we simulated 300 years of forest dynamics under current planting and natural regeneration regimes with the LANDIS Model (He Mladenoff 2004), based on forest inventory data, TM data and parameters adapted for the northern Great Hing'an mountains (Xu et al 2004). Longterm dynamics of abundance and timber volume under potentially natural regeneration and current planting regeneration for key species were analyzed (Fig.…”

Section: The Effect Of Human Planting On Long-term Forest Dynamicsmentioning

confidence: 99%

Human intervened post-fire forest restoration in the Northern Great Hing’an Mountains: a review

Xie

Wang

et al. 2006

Landscape Ecol Eng

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The devastating fire in May 1987 in the northern Great Hing'an Mountains created a mosaic of burned severity. Subsequent log harvesting and tree planting complicated the restoration process. Based on intensive field work and GIS analysis for the burned area, we studied the landscape pattern change in relation with its influencing factors, the restoration of some ecosystem functions and the long-term effect of human planting on vegetation restoration. A post-fire vegetation restoration process was also established using spatial series instead of temporal series. The results indicated that coniferous forest, broad-leaved forest and mixed forest increased obviously in the burned area. Factors influencing the restoration process are ranked as the burned severity, way of restoration (planting, promoted restoration or natural restoration) and topographical factors. The latter was further ranked as the slope, elevation, slope position and aspect. Primary productivity, hydrological functions, habitats for wild animals and permanent frozen soil of the area have all largely been restored to the pre-fire level after more than 15 years. Parameters demonstrated a transitional character of the forest from the early succession stage to middle stage. LANDIS simulation for the long-term forest succession under pure natural restoration and human-intervened restoration indicated that post-fire tree planting largely influenced the age structure, spatial pattern and timber stock of dominant species such as Larix gmelini, Betula platyphylla and Pinus sylvestris var. mongolica. In general, the influence of post-fire human planting can remain for more than 200 years.

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Assessing the effect of cell-level uncertainty on a forest landscape model simulation in northeastern China

Cited by 51 publications

References 26 publications

Tree planting: How fast can it accelerate post-fire forest restoration? — A case study in Northern Da Hinggan Mountains, China

Tree planting: How fast can it accelerate post-fire forest restoration? — A case study in Northern Da Hinggan Mountains, China

Importance of colonization and competition in forest landscape response to global climatic change

Human intervened post-fire forest restoration in the Northern Great Hing’an Mountains: a review

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