Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Wang, Z.; Grant, R. F.; Arain, M. Altaf; Chen, B.N.; Coops, Nicholas C.; Hember, R. A.; Kurz, Werner A.; Price, David T.; Stinson, G.; Trofymow, J. A.; Yeluripati, Jagadeesh; Chen, Z.

doi:10.1016/j.ecolmodel.2011.06.005

Cited by 26 publications

(15 citation statements)

References 49 publications

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“…These results are promising because precise and updated mapping of LAI and canopy height is a key input to validate dynamic forest models such as Physiological Principles Predicting Growth model (3PG) [47], the Carbon budget model of the Canadian Forest Sector (CbM-CFS3) [48], or the model of forest growth and carbon dynamics (TRIPLEX) [49]. In addition, these results open new avenues for the development of low-cost operational solutions in forest inventory development.…”

Section: Discussionmentioning

confidence: 87%

A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data

et al. 2014

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Airborne laser scanner (ALS) data provide an enhanced capability to remotely map two key variables in forestry: leaf area index (LAI) and tree height (H). Nevertheless, the cost, complexity and accessibility of this technology are not yet suited for meeting the broad demands required for estimating and frequently updating forest data. Here we demonstrate the capability of alternative solutions based on the use of low-cost color infrared (CIR) cameras to estimate tree-level parameters, providing a cost-effective solution for forest inventories. ALS data were acquired with a Leica ALS60 laser scanner and digital aerial imagery (DAI) was acquired with a consumer-grade camera modified for color infrared detection and synchronized with a GPS unit. In this paper we evaluate the generation of a DAI-based canopy height model (CHM) from imagery obtained with low-cost CIR cameras using structure from motion (SfM) and spatial interpolation methods in the context of a complex canopy, as in forestry. Metrics were calculated from the DAI-based CHM and the DAI-based Normalized Difference Vegetation Index (NDVI) for the estimation of tree height and LAI, respectively. Results were compared with the models estimated from ALS provide insight on the appropriateness of using cost-effective 3D photo-reconstruction methods for targeting single trees with irregular and heterogeneous tree crowns in complex open-canopy forests. It quantitatively demonstrates that low-cost CIR cameras can be used to estimate both single-tree height and LAI in forest inventories.

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Section: Discussionmentioning

confidence: 87%

A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data

et al. 2014

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“…Using these data, six daily fire weather indices were calculated based on the moisture availability of fuels and fire behaviour (Table 1). For this study, only three of the six available fire weather indices were selected, representing different aspects of fire behaviour [45,48]: ISI, to represent short-term changes in the availability of fine fuels; DC, to represent longer-term seasonal weather conditions and the availability of deep organic soil and large logs; and FWI as an overall index of potential fire energy output. For ISI and FWI, Podur and Wotton [45] calculated threshold values that distinguish fire spread events, where fire intensity is high, tree crowns are consumed, and the rate of spread is rapid, and non-spread events, where fire intensity is low, most burning occurs on the ground surface, and the rate of fire spread is low.…”

Section: Fire Weathermentioning

confidence: 99%

Vegetation Mortality within Natural Wildfire Events in the Western Canadian Boreal Forest: What Burns and Why?

Ferster

Eskelson

Andison

et al. 2016

Forests

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Abstract:Wildfires are a common disturbance event in the Canadian boreal forest. Within event boundaries, the level of vegetation mortality varies greatly. Understanding where surviving vegetation occurs within fire events and how this relates to pre-fire vegetation, topography, and fire weather can inform forest management decisions. We used pre-fire forest inventory data, digital elevation maps, and records of fire weather for 37 naturally-occurring wildfires (1961 to 1982; 30 to 5500 ha) covering a wide range of conditions in the western Canadian boreal forest to investigate these relationships using multinomial logistic models. Overall, vegetation mortality related to a combination of factors representing different spatial scales. Lower vegetation mortality occurred where there was lower fuel continuity and when fires occurred under non-drought conditions. Higher classification accuracy occurred for class extremes of no mortality (i.e., unburned areas within the burn event) and high mortality; partial vegetation mortality classes were harder to distinguish. This research contributes to the knowledge required for natural pattern emulation strategies, and developing responses to climate change.

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“…Blackwell and Associates for their help processing and collecting National Forest-inventory-style ground plot data. We also thank François Gougeon, CFS, for determining canopy tree density values for the sites and to Graham Stinson, CFS, for the CBM-CFS3 output files used in Wang et al (2011). We thank the UBC Land and Food Systems Biometeorology and Soil Physics Group, in particular Paul Jassal, Praveena Krishnan, Kai Morgenstern, and Elyn Humphreys for their work processing EC flux data, and Zoran Nesic, Dominic Lessard, Andrew Sauter, and Andrew Hum for their work running and maintaining the EC flux tower sites.…”

Section: Acknowledgementsmentioning

confidence: 99%

“…The model tracks all major C pools to ensure closure and estimates annual NEP from NPP -Rh. Wang et al (2011) modeled forest processes using the CBM-CFS3 model for the 5 × 5 km area spanning the Oyster River and encompassing the DF49, HDF90, and HDF00 sites (Figure 1). Model runs for the area were performed on 1 hectare grid cells of forest disturbance history data, forest cover data, growth and yield equations, and disturbance transition matrices from Trofymow et al (2008) Comparing convergence of ΔC, EC tower ΣNEP, and CBM-CFS3 ΣNEP Comparisons were made among the estimates by first evaluating how each method ranked the stand ages.…”

Section: Cbm-cfs3 ∑Nepmentioning

confidence: 99%

Comparison of carbon-stock changes, eddy-covariance carbon fluxes and model estimates in coastal Douglas-fir stands in British Columbia

et al. 2015

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Background: The global network of eddy-covariance (EC) flux-towers has improved the understanding of the terrestrial carbon (C) cycle, however, the network has a relatively limited spatial extent compared to forest inventory data and plots. Developing methods to use inventory-based and EC flux measurements together with modeling approaches is necessary evaluate forest C dynamics across broad spatial extents.

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Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Cited by 26 publications

References 49 publications

A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data

A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data

Vegetation Mortality within Natural Wildfire Events in the Western Canadian Boreal Forest: What Burns and Why?

Comparison of carbon-stock changes, eddy-covariance carbon fluxes and model estimates in coastal Douglas-fir stands in British Columbia

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