Can We Use Forest Inventory Mapping as a Coarse Filter in Ecosystem Based Management in the Black Spruce  Boreal Forest?

Chaieb, Chafi; Fenton, Nicole J.; Lafleur, Benoît; Bergeron, Yves

doi:10.3390/f6041195

Cited by 19 publications

(7 citation statements)

References 40 publications

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“…The efficacy of photographic aerial surveys in idcntificatying and discriminating of complex forest structures has been questioned previously and the results of our study confirm these concerns. Therefore, new techniques should be used to accurately identify boreal old-growth forests (Chaieb et al 2015). LiDAR (Light Detection And Ranging) technology is therefore a promising tool for a quick and efficient.…”

Section: Conclusion and Management Implicationmentioning

confidence: 99%

Boreal old-growth forest structural diversity challenges aerial photographic survey accuracy

2020

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The erosion of old-growth forests in boreal managed landscapes is a major issue currently faced by forest managers; however, resolving this problem requires accurate surveys. The intention of our study was to determine if historic operational aerial forest surveys accurately identified boreal old-growth forests in Quebec, Canada. We first compared stand successional stages (even-aged vs. old-growth) in two aerial surveys performed in 1968 (preindustrial aerial survey) and 2007 (modern aerial survey) on the same 2200 km2 territory. Second, we evaluated the accuracy of the modern aerial survey by comparing its results with those of 74 field plots sampled in the study territory between 2014 and 2016. The two aerial surveys differed significantly; 80.8% of the undisturbed stands that were identified as “old-growth” in the preindustrial survey were classified as “even-aged” in the modern survey, and 60% of the stands identified as “old-growth” by field sampling were also erroneously identified as “even-aged” by the modern aerial survey. The scarcity of obvious old-growth attributes in boreal old-growth forests, as well as poorly adapted modern aerial survey criteria (i.e., criteria requiring high vertical stratification and significant changes in tree species composition along forest succession), were the main factors explaining these errors. It is therefore likely that most of Quebec’s boreal old-growth forests are currently not recognized as such in forest inventories, challenging the efficacy of sustainable forest management policies.

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Section: Conclusion and Management Implicationmentioning

confidence: 99%

Boreal old-growth forest structural diversity challenges aerial photographic survey accuracy

2020

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“…Remote sensing technology, including LiDAR (Light Detection and Ranging), hyperspectral imaging and aerial photography, has potential for interpreting forest structural maturity (Koch & Baker, 2011;Weber & Boss, 2009). However, there is little available evidence regarding how well the structural information acquired from remote sensing reflects the development of floristic composition and other forest elements (Chaieb, Fenton, Lafleur, & Bergeron, 2015).…”

Section: Introductionmentioning

confidence: 99%

Quantifying floristic and structural forest maturity: An attribute‐based method for wet eucalypt forests

Galen

Jordan

Musk³

et al. 2018

Journal of Applied Ecology

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Maintaining developmental heterogeneity of ecological communities within landscapes is crucial for sustainable native forest management. Consequently, methods to assess forest maturity (i.e. the degree to which the forest contains attributes and supports processes characteristic of late‐successional forests) are valuable for making management decisions. However, no consistent, pragmatic method to quantify maturity that incorporates multiple ecosystem elements is available for many forest systems, including Australian wet eucalypt forests. We draw upon forest community dynamics theory to develop a method to quantify maturity based on forest attributes, and use this method to create two metrics of wet eucalypt forest floristic and structural maturity. We then test the ability of remotely sensed and field‐collected variables to predict these metrics. Both the floristic and structural maturity metrics performed well at capturing underlying trends of forest maturation. Remotely sensed LiDAR (Light Detection and Ranging) and photo‐interpretation data provided estimates of moderate accuracy for both floristic and structural maturity (R2 = .57–.77). Field variables that are relatively efficient and accurate to measure provided greater model accuracy (R2 = .73–.85). Including more complex field variables increased model accuracy to high levels (R2 = .93). Therefore, while maturity predicted from remote‐sensing data enables a useful and accessible large‐scale maturity measure, field indices would provide a more accurate means of assessing maturity at the local stand level. Synthesis and applications. The metrics developed in this study provide a powerful tool for undertaking consistent assessments of wet eucalypt forest maturity. This assessment tool could improve forest management by providing information to optimise practices such as prioritising stands for retention or harvesting, determining the effectiveness of restoration or management practices and monitoring changes in maturity over time. The method could be adapted to any forest system that undergoes well‐defined directional development.

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“…Forest age was estimated by coring ten dominant trees (Chaieb et al. ; Moussaoui et al. ) or by 14 C dating of charcoal particles from a soil pit when the ten dominant trees approached the maximum life span of black spruce (>180 yr old; Simard et al.…”

Section: Methodsmentioning

confidence: 99%

Boreal bryophyte response to natural fire edge creation

Barbé

Fenton

Bergeron

2017

J Vegetation Science

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Question: Changes in species richness and composition in plant communities as a result of edge creation are well documented in anthropogenically modified landscapes, but what happens after natural disturbance? We investigate the responses of boreal bryophytes to edge creation in a post-wildfire residual forest patch system.Location: Boreal black spruce-feather moss forest, western Qu ebec, Canada.Methods: Bryophyte community was sampled in 50-m 2 plots: 117 plots in 39 undisturbed forest cores (control) and 108 plots in 30 residual forest patches from wildfire, divided into 48 core plots, 30 north-facing edge plots and 30 south-facing edge plots. Temporal, severity, spatial and structural characteristics of the stands were also recorded to explain bryophyte community composition.Results: Residual edges and cores were more species-rich than undisturbed cores, particularly north-facing edges, but community composition differed between undisturbed and residual cores. Indicator species of undisturbed cores and residual edges differed in their species traits. Spatial variables explained variations in composition, with a larger difference between core and edge communities in patches over 3 ha compared to smaller patches. Conclusion:We observed community composition change in response to natural edge creation. While edge influence is reduced in large patches, the bryophyte community remains distinct from undisturbed cores. This community change is a 'control' in studies of boreal bryophyte response to anthropogenic edge creation, and suggests that we should consider the natural range of variability. Finally, this study emphasizes that forest remnants do not substitute for continuous and undisturbed forests. Methods Study areaThe study area covers 73 197 km 2 (

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Can We Use Forest Inventory Mapping as a Coarse Filter in Ecosystem Based Management in the Black Spruce Boreal Forest?

Cited by 19 publications

References 40 publications

Boreal old-growth forest structural diversity challenges aerial photographic survey accuracy

Boreal old-growth forest structural diversity challenges aerial photographic survey accuracy

Quantifying floristic and structural forest maturity: An attribute‐based method for wet eucalypt forests

Boreal bryophyte response to natural fire edge creation

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