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Article

The Mixedwood Free-to-Grow Dilemma in Northeast British Columbia: A Case Study

by
Christopher Hawkins
*,
Christopher Maundrell
and
Jeffrey Beale
Association of Peace River Woodlots, P.O. Box 293, Charlie Lake, BC V0C 1H0, Canada
*
Author to whom correspondence should be addressed.
Forests 2026, 17(5), 600; https://doi.org/10.3390/f17050600
Submission received: 15 April 2026 / Revised: 13 May 2026 / Accepted: 14 May 2026 / Published: 15 May 2026
(This article belongs to the Section Forest Ecology and Management)
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Abstract

In northeast British Columbia (BC), Canada, industrial forestry is gradually converting 10+ M ha of broadleaf–conifer (mixedwood) boreal forest to conifer plantations. This is due in part to governmental free-to-grow (FTG) regulations, which specify a minimum competition-free radius around conifer crop trees. FTG implementation is a poor investment; it reduces stand biodiversity and productivity and infringes on Indigenous Treaty Rights. Trials were established on three geographically separated boreal sites with no stand management (brushing) since planting. The goal was to determine the effect of FTG criteria on conifer growth in mixedwoods compared to growth of pure conifer stands using the BC Government growth model TIPSY (Table Interpolation Program of Stand Yield) projections. At trial establishment, less than a third of trees were FTG. The number of FTG trees increased at the last measurement but only reached 50 percent on one site. After a decade, conifer DBH (diameter at breast height) growth and stand productivity met or exceeded the model projection regardless of the initial FTG status. The DBH relative growth rate (RGR) indicated that spruce DBH growth was not impacted by competitors. These observations suggest that brushing on similar sites to meet timber objectives is likely unnecessary. Maintaining mixedwood stands supports greater biodiversity and carbon storage, and this approach better aligns with an Indigenous world view and Treaty Rights. There is an opportunity in northeast BC to shift forest management from conifer-based performance metrics to prioritizing ecological resilience and long-term forest health and productivity.

1. Introduction

The 10+ M ha of forest on the Alberta Plateau in northern British Columbia (BC) are primarily mixedwoods of broadleaves and conifers but partly due to free-to-grow (FTG) criteria there has been a conversion to pure conifer stands [1,2,3]. The FTG status of plantations in northeast BC has been a point of contention for more than a decade because of the conversion to conifers [1,2]. In addition to the FTG criteria, economics and silviculture strategy generally dictates pure conifer management in reforested stands [4] but when commercially viable, there is a possibility for a broadleaf harvest [5].
The development of FTG standards, which are stocking standards and not regeneration standards reflects the conifer bias where a regenerating plantation’s performance is measured against a pure conifer stand’s growth [4,6,7]. To achieve FTG, at a minimum, there must be no competition within a 1 m cylinder around the measured tree and extending to more than two-thirds of its height [7]. The assumption underlying FTG is that there is a connection between sample metrics (density) and management goals (volume) [2] but to date the link has not been established [8,9,10]. As a result, FTG standards can result in forest managers applying broadcast vegetation removal (brushing) treatments to avoid administrative actions [4]. If a stand is not FTG, the licence holder is liable for its success until it is FTG. This leaves little incentive for retaining lower valued broadleaves. It ignores the successional path of this forest type [11], negatively impacts biodiversity [12,13], and it is inconsistent with traditional values and land use of First Nations [14]. The result is forest simplification [4]. It also may not conform to the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP), which has been endorsed by the provincial government of BC [15]. A recent court decision specified that the lack of broadleaf species in reforestation contributed to reduced moose numbers in the Treaty 8 area (northeast BC), which does not support Indigenous Treaty Rights (https://www.mandellpinder.com/yahey-v-british-columbia-2021-bcsc-1287-canlii-case-summary/, accessed on 13 April 2026).
The current management approach is based on older reports of broadleaves negatively impacting conifer growth [16,17,18,19,20,21]. This may result in brushing because of the FTG criteria and this can be costly [4]. In northeast BC, after brushing, the future stand value was only positive with a real interest rate of two percent or less [3]—a lower return on investment than the industry expects. Also, in Scandinavia, mixed-species stands were found to have a better land expectation value than stands managed for a single species [22].
Not managing for mixedwoods has costs too [12]. The productivity of mixedwoods is considered to be greater than that of either species grown in a pure stand [2,23,24,25,26,27,28,29] and stands may have greater carbon storage potential [30,31,32]. Regardless of whether carbon storage has economic value, management of mixedwoods to mitigate climate change is a valuable option [33] and it could be a future revenue stream [30]. Mixedwoods provide a spectrum of ecological goods and services [34]. They have a positive impact on biodiversity [22,35,36] and specific ecological values, such as moose [37] and bird [38,39] habitats, and resistance to abiotic (fires, wind, and floods) and biotic (forest health) perturbations [5,22,35]. Maintaining these values is a high priority for First Nations [14].
The future climate of northeast BC is projected to have a small increase in precipitation and be warmer with a longer growing season [40]. It has been suggested [36,41,42] that mixedwoods could successfully respond to new climate regimes better than pure conifer stands, possibly showing greater resilience than pure conifers. The observation that conifers could be impacted to a greater degree than broadleaf species in the region by a changing climate argues for mixedwood management. Conifer habitat in northeast BC is projected to shift northward while broadleaf distribution will likely be static [43]. The southern boundary of the boreal forest (e.g., northeast BC) is projected to undergo greater climate stresses than other regions too [44].
This study aims to enhance our understanding of interactions between conifer crop trees (white spruce and Picea glauca (Moench) Voss) and associated broadleaf tree competition (trembling aspen, Populus tremuloides Michx., paper birch, and Betula papyifera Marsh) in northeast BC. A short-term objective is to determine if FTG metrics are adequate or need modification to be pertinent for forest management in northeast BC. A project goal is to limit ecological and economic costs, minimize the impact on First Nations’ traditional land use and Treaty Rights, while maintaining forest productivity.

2. Methods

2.1. The Site

The three sites are located east of the Rocky Mountains on the Alberta Plateau in BC, Canada (Table 1). They are even-aged broadleaf–conifer stands (mixedwoods) in the Boreal White and Black Spruce (BWBS) biogeoclimatic zone (BEC) [45]. Lacustrine clays dominate the soils of the sites. The Prophet River site is in the BWBS moist cool (mk) subzone and the other sites are in the moist warm (mw) subzone. The sites are mesic with gentle topography and uniform conifer distribution due to planting. As noted, a changing climate is projected to have the greatest effect on this part of the boreal forest [44]. For the region, the projection [40] suggests greater precipitation (MAP, 11%–19%), mean annual temperature (MAT, 1.9–4.7 °C), and frost-free (FF) period (25–40 days). Currently, precipitation is half snow and totals about 450 mm across the region; MAT from north to south ranges from 0 °C to +3 °C with extremes from −52 °C to +36 °C; and independent of latitude, FF ranges from 90 to 125 days.
The sites were reforested with containerized white spruce seedlings, a mid- to late-successional dominant [46] and intermediate shade-tolerant [47] species, and naturally regenerated broadleaves (trembling aspen or paper birch), which co-established with the planted conifer seedlings. At trial establishment, the sites’ post-planting age ranged from five to 18 years old (Table 1).

2.2. Plot Establishment and Measurement

Prior to plot establishment, no management activities other than planting had been implemented on the sites after logging. The nearest individual method was used to establish single tree sample plots [2,3,48]. The plots were established 25 m apart on a fixed bearing. The point was recorded using GPS and the nearest spruce tree became the plot centre and the crop tree (also recorded using GPS) was selected provided it was greater than 1.3 m in height (DBH point, diameter at breast height) and defect-free [2,3]. The latter was to ensure that crop tree growth reductions occurred due to competition (stand density) and not forest health. If there was a defect, the plot was moved a further 25 m on the bearing. Trials on similar sites indicated that until at least a 2 m radius was free of competition, there was no increase in crop tree DBH [2]. Our goal was to describe what occurred near the crop tree as 1 m is the FTG minimum competition-free radius. Rather than using 1 m radius plots, we enlarged it to a 1.785 m radius (10 m2) plot around each crop tree. This resulted in adequate stand stocking, 1000 SPH, and a competition area 3+ times greater than the FTG minimum. At trial initiation, all trees within the plot with a height greater than 1.3 m were measured for height and DBH and again during the winter of 2019–2020.
Site means were established for plot density (stems∙ha−1 or SPH), crop, and competitor tree DBH and height. Calculations determined basal area (BA), height-to-diameter ratio (HDR), and DBH relative growth rate (RGR). The DBH RGR is calculated per Equation (1) and reflects the plant’s growing environment [49]:
DBH RGR = (LN DBH2 − LN DBH1)/(T2 − T1)
where DBH1 is the DBH at time 1 (T1) at the start of the trial and DBH2 is the DBH at time 2 (T2) during the winter of 2019–2020. DBH at trial establishment and its relation to the DBH RGR was tested with linear regression.

2.3. Modeling

Nigh’s [50] growth intercept approach for young stands was used to estimate the stand site index at base age 50 (SIs). Trees with no competition within 2 m determined the SIs for the sites and were used to project the growth of a pure spruce stand at the site using TIPSY (Table Interpolation Program of Stand Yield) version 4.7 (downloaded on 4 January 2026, https://www2.gov.bc.ca/gov/content/industry/forestry/managing-our-forest-resources/forest-inventory/field-forms-and-software/software-download#tipsy) growth model developed by the BC Government. TIPSY retrieves and interpolates yield tables from its database, customizes the information, and displays summaries and graphics for a specific site, species, and management regime. Outputs include mean spruce height, volume, DBH, BA, and SPH. Attributes used in the TIPSY runs were SI, 1400 SPH of reforested white spruce as this was the planting norm when the sites were established, and model default forest health growth net downs (operational adjustment factors, OAF). OAF 1 is for nonproductive areas = 0.85 and OAF 2 is for decay, waste, and breakage = 0.95. The output is optimistic using these OAF values to gauge spruce growth in the mixed stands against the TIPSY projection for a pure spruce stand representative of each site’s productivity and age. TIPSY has been validated for white spruce in northeast BC and is used widely in timber supply determinations throughout the province. Based on FTG rationale, spruce DBH and basal area should be negatively impacted when grown with greater densities (SPH) of broadleaves.
Sites were analyzed separately.

3. Results

Because it is easy to measure and integrate tree physiological responses into environmental variation [51], DBH was used to detail crop tree response to broadleaf competition. Also when tree growth is compromised, diameter growth is the first energy sink to be shut down [52].
Competing species at One Island Lake and Mile 88 were similar: trembling aspen with minor amounts of balsam poplar (Populus balsamifera L.), lodgepole pine (Pinus contorta Dougl. Ex Loud. Var. latifolia Engelm.), black cottonwood (Populus trichocarpa Torr. & A. Gray), white spruce, and paper birch. Paper birch was the main crop tree competitor at the third site with aspen and white spruce being minor components. Stand density at trial establishment ranged respectively at One Island Lake, Mile 88, and Prophet River from 1000 (only the crop tree in the sample plot) to 23,000, 1000 to 34,000, and 1000 to 16,000. The mean density ± standard deviation at establishment for these sites was 10,232 (±5500), 8684 (±8801), and 3972 (±2808) respectively (Figure 1). Stand density for these sites at the last measure respectively were 7413 (±4483), 6204 (±4427), and 2986 (±2527). As stand density increased, crop tree DBH decreased at all sites (Figure 1).
Competitor mean height at establishment was greater than crop height at One Island Lake and Mile 88 but not at Prophet River (Table 2). Crop tree DBH was greater than that of competitors at One Island Lake and Prophet River but not at Mile 88 (Table 2). Competitors within 1 m critical FTG radius of the crop tree (not considered FTG) were the greatest at One Island Lake, intermediate at Mile 88, and lowest at Prophet River. Competing stem numbers (stems within 1 m of the crop tree) increased at Mile 88 (tree height < 1.3 m growing to height > 1.3 m and counted at second measurement) and decreased at other locations between the establishment and winter 2019–2020 measurements. The percentage of plots that were FTG at establishment was the greatest at Prophet River and the lowest at One Island Lake (Table 3). At two sites the number of FTG plots increased between measurements but at Mile 88 they decreased due to the noted recruitment (Table 3). None of the stands would be considered FTG by current BC criteria at either measurement.
Mean DBH growth was greater in crop trees than in competing trees in all cases (Table 4). Competing trees had about twice the height growth of crop trees at One Island Lake and growth was similar at Mile 88. Height growth was not measured for competing trees at Prophet River. Mean crop tree DBH at all sites met or exceeded the DBH projection of TIPSY for the appropriate SI and stand age (Figure 2). At all sites, total mixedwood BA after the 2019 season was greater than the TIPSY projection and calculated spruce BA exceeded that projected by TIPSY (Table 5).
DBH growth decreased significantly (α = 0.05) as crop tree establishment HDR increased at the time of establishment at Prophet River and One Island Lake but there was no relationship for Mile 88 (Table 6 and Figure 3). The DBH RGR had a significant (α = 0.05) negative slope at all three sites with smaller DBH trees having greater growth rates than large trees (Table 6 and Figure 4). Mean crop tree DBH growth was greater than that of competitors at all sites (Table 4). The height relationship was not clear-cut (Table 4).

4. Discussion

4.1. Stand Stocking

Stand density decreased at One Island Lake and Prophet River between measurements as was predicted [28] and some aspen recruitment continued in the young stand at Mile 88. As expected [3,46,52,53,54], at trial establishment at the two older sites, competition negatively impacted crop tree DBH and if there was a density threshold, it exceeded 5000 SPH at all sites (Figure 1). This is much greater than the FTG threshold of 1000 SPH. However, at all sites mean crop tree DBH at establishment exceeded that projected by TIPSY (Figure 2). The SI values used in the TIPSY determination are greater than those that were obtained using SIBEC (site index by biogeoclimatic zone) [55], which is based on site nutrient and water relations. Therefore, if spruce DBH growth in the mixedwood exceeds that of the TIPSY projection, overall spruce DBH growth is not slowed by competing broadleaves. The model projection also indicated that there should be no measurable DBH at establishment for Mile 88. This leads to our questioning the applicability of current FTG standards for these sites. There was no apparent impact of broadleaf competition on crop tree establishment DBH at Mile 88 possibly due to young stand age, aspen co-establishing with spruce, spruce growing rapidly after planting, and it being of similar height at trial establishment. The establishment data and subsequent growth support observations that total growth can be greater in mixed-species stands without impacting conifer tree size [25,36,56,57] (Table 2 and Table 4). This suggests that species’ competitive interactions in mixedwoods (complex stands) may be different from those in pure stands [58].

4.2. Free-to-Grow

The FTG criteria in BC ignores the above possibility. Spruce, a mid seral species [47], developed below broadleaf trees in the boreal forest [11] under past ecological conditions but FTG criteria result in spruce stands and not mixedwoods. Today’s FTG criteria lead to stand simplification [4,11] and harm biodiversity [12,13]. As FTG criteria were originally developed for even-aged conifer stands [6,7], the disconnect is not unexpected. Therefore, current FTG standards are not relevant to sustainable management of boreal mixedwoods [59].
None of the stands could be considered FTG at either measurement (Table 3), yet DBH was greater than TIPSY projected for pure spruce stands of the same age at these sites. This may be due to intraspecific competition being greater in pure stands than interspecific competition in mixedwoods. The number of FTG plots did increase at two sites, by about 20 percent, and total broadleaf mortality increased at all sites but did not decrease within the 1 m radius at Mile 88 due to growth of trees too short to measure at establishment. Most of the plots at all sites exceeded the BC FTG standard maximum competitor density [6,7]. However, based on operational considerations and our findings, the broadleaves were not threatening future spruce growth at these sites as previously observed [1,2,3].
The FTG criteria fail to appreciate that mixedwoods promote greater stocking levels (Table 5) and maximum density [57] than pure stands [29], c.f., Figure 1. Hence their carrying capacity and productivity is greater [27,56]. Current FTG standards appear not to be related to mixedwood ecology [23,59,60] and forest management planning [9,11] and ignore their potential greater productivity, plus the associated non-timber resources, many of which are essential for Indigenous Treaty Rights.

4.3. Growth Metrics

The HDR indicated that slender trees were putting on less DBH growth than thicker trees (Table 6 and Figure 3), which is consistent with the observation that HDR is expected to increase with increased stand density or competition [61,62]. The DBH RGR had a significant negative slope at all sites (Table 6 and Figure 4) indicating broadleaf competition had not limited DBH growth [49,63] even though HDR indicates some impact. The impact of competition on target species can be estimated with RGR [64]. Larocque [65] suggested that DBH RGR was a preferred competition measure compared to absolute rate of growth. DBH RGR should increase with increased tree size (positive slope) if competition is a limiting factor but if it is not, DBH RGR should decrease (negative slope) with increased tree size [63,66] as demonstrated (Figure 4). This indicates that small trees are more efficient in stemwood production and not impacted by competition [50,63,66]. Unfortunately, DBH RGR is not a predictor of growth, but it is a result and has been previously noted that static indices have limited utility in predicting tree growth [67].
Mean crop tree DBH at both measurement periods exceeded or achieved the TIPSY pure stand projection at all sites of appropriate age and productivity (Figure 2; Table 2, Table 4 and Table 5). Also, the total BA (Table 5) is several times greater than the BA projected for a pure spruce stand of the same age indicating much greater productivity and carrying capacity in a mixedwood stand [27,57]. These mixedwoods have much greater total productivity than a pure spruce stand growing on the same BEC unit (Figure 2, SI plots). This has been demonstrated by many [25,68,69,70,71] but there are contradictory findings too, generally in older work [17,18,20,21]. Measured spruce BA is also greater than the TIPSY projection (Table 5) and is mainly in the larger DBH classes suggesting that broadleaves have not negatively impacted spruce growth. Also, the BA (Table 5) may indicate that birch is a weaker competitor than aspen [70], as shown between One Island Lake and Prophet River, but Stadt et al. [71] suggest the opposite. The species’ response may be site-specific.
Facilitation or complementarity between species probably accounts for increased productivity [25]. Specific to the boreal forest in western Canada, the more rapid decomposition of broadleaf leaf litter [72,73] and quality nutrient acquisition [67] likely benefit spruce. Similar conifer growth in mixed stands plus the added growth of broadleaves has been reported in Scandinavia [74]. The connection between the FTG criteria, stand stocking, and mixedwood growth is clearly lacking [1,2,9,75].

4.4. Operational Considerations

Our observations argue against broadcast removal of competing broadleaf species [4,76] at similar spruce mixedwood sites. Broadcast removal appears not to enhance tree growth [2], but it eliminates the mixedwoods’ ecological goods and services [12,14,33,34]. There is also the extra cost of competitor removal. This suggests that the BC Government’s FTG (reforestation performance) criteria are not biologically based as competition levels at all three sites far exceeded the FTG’s usual standard maximum competition density threshold [6]. Several reports indicated that for conifers classed as FTG or not FTG at trial establishment, there was no significant difference in DBH or height growth after a decade [1,9,75]. This is not implying that there is not a competition level or species composition in mixedwoods that reduces crop tree growth below an acceptable operational minimum. However currently in BC, we do not have an agreed-upon administrative threshold or protocols to define one for mixedwoods in northeast BC [59].
Competition should reduce growth efficiency of small trees more than that of the large ones [66] but our findings do not support this and counter the present management tactic to remove competition with a broadcast brushing treatment. Not brushing may have a positive economic impact [3] and it definitely has positive ecological [12] and societal [14] impacts. The accepted negative impact of retaining broadleaves regionally is related to their low value due to weak or lack of commercial markets [77,78]. However, this view does not consider the removal cost, lost productivity, or lost ecological values if sites are brushed [4]. It has been suggested that mixedwoods in the longer term may significantly reduce financial risk due to accrued ecological benefits [79] and their hypothesized ability to better respond to a changing climate [44,45]. As importantly as the preceding (or even more importantly), BC First Nations currently view the use of chemical brushing and loss of habitat as a major forest management shortfall [14,15,80]. Mixedwood management (retaining broadleaves) can start addressing their concern.
When competition is limiting tree growth, perhaps spot removal of undesirable levels of competing vegetation around individual crop trees is a sensible economic–ecological–social compromise [3]. However, doing no competition control at sites like these may be a reasonable approach as stand growth has not been compromised even though growth of some individual trees may have been. The latter is based on our data indicating that overall stand level spruce growth was not significantly impacted by high levels of broadleaf competition. The proposed protocol would be difficult to implement operationally as our metrics are not predictive. Tree DBH could be sampled and if the stand result is as good as the TIPSY projection, then no broadleaf brushing will be needed. Clearly more data is needed to bring the approach to an operational level. In the first instance, our approach is only for spruce–broadleaf mixtures as it has yet to be demonstrated for lodgepole pine mixedwoods in northeast BC (c.f., Harper [53,54]).

5. Conclusions

Spruce DBH growth in broadleaf mixtures was as good as or superior to projections for pure spruce stands in northeast BC of appropriate documented site productivity (SI) and age. Retaining mixedwoods at the sites we examined shows that overall conifer productivity has not been impaired; in fact, total site productivity is increased, and the ecological and social benefits associated with mixedwoods are retained or possibly enhanced. Our observations reinforce the suggestion that broadleaf stand components should not only be viewed as tolerable but often as beneficial [81]. However, these data do not aid our management dilemma—how to identify mixedwood stands that will or will not meet legislated conifer growth expectations (targets) for managers. On the other hand, perhaps forest management should focus on desired future forest values, in line with traditional First Nations world view, rather than short-term timber product volume expectations on a rotation of about 80 years. A sustained market for broadleaves would help meet industry and government objectives and support Indigenous traditions.

Author Contributions

Conceptualization, C.H., C.M. and J.B.; methodology, C.H.; formal analysis, C.H.; resources, C.M. and J.B.; data collection, C.M., J.B. and C.H.; data curation, C.H.; writing—original draft preparation, C.H.; writing—review and editing, C.M., J.B. and C.H.; supervision, C.H.; project administration, C.M.; funding acquisition, J.B., C.M. and C.H. All authors have read and agreed to the published version of the manuscript.

Funding

Support for site remeasurement was provided by the Association of Peace River Woodlots and the BC Wood Products Development Council. Trial establishment was done while the lead author held the FRBC—Slocan Mixedwood Chair at the University of Northern British Columbia and it was funded by the British Columbia Forest Science Program.

Data Availability Statement

The lead author should be contacted for data requests.

Acknowledgments

The efforts of Nicole Balliet, Kyle Runzer, Cindy Baker and Eduardo Bittencourt who established these sites under trying conditions is recognized. The reviewers’ comments helped improve the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

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Forests 17 00600 g001
Figure 1. Crop tree DBH at establishment versus total establishment SPH at One Island Lake, Mile 88, and Prophet River.
Figure 1. Crop tree DBH at establishment versus total establishment SPH at One Island Lake, Mile 88, and Prophet River.
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Figure 2. Mean spruce crop tree DBH ± SEM for each site at trial establishment and after the 2019 growing season (bars), as well as the TIPSY DBH projections (curves) for sites of SI 20 (One Island Lake), SI 22 (Prophet River), and SI 26 (Mile 88).
Figure 2. Mean spruce crop tree DBH ± SEM for each site at trial establishment and after the 2019 growing season (bars), as well as the TIPSY DBH projections (curves) for sites of SI 20 (One Island Lake), SI 22 (Prophet River), and SI 26 (Mile 88).
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Forests 17 00600 g003aForests 17 00600 g003b
Figure 3. Crop tree DBH growth versus establishment HDR at One Island Lake, Mile 88, and Prophet River.
Figure 3. Crop tree DBH growth versus establishment HDR at One Island Lake, Mile 88, and Prophet River.
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Figure 4. Mean DBH RGR versus crop tree establishment DBH at the three sites.
Figure 4. Mean DBH RGR versus crop tree establishment DBH at the three sites.
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Table 1. Location of sites on the Alberta Plateau of northeast BC (longitude, latitude, year trial established (stand age since it was planted), and approximate site area).
Table 1. Location of sites on the Alberta Plateau of northeast BC (longitude, latitude, year trial established (stand age since it was planted), and approximate site area).
SiteLatitude °NLongitude °WEstablishedArea, ha
One Island Lake55.3429−120.350752007, fall (18)53
Mile 8856.5469−121.552352008, fall (5)22
Prophet River58.1539−122.646592007, fall (14)91
Table 2. Mean ± standard deviation (SD) crop tree and competition tree heights (HT, m), DBH (cm), and number of plots (n) at trial establishment at the three sites.
Table 2. Mean ± standard deviation (SD) crop tree and competition tree heights (HT, m), DBH (cm), and number of plots (n) at trial establishment at the three sites.
SitePlot (n)Crop TreeCompeting Trees
HTSDDBHSDHTSDDBHSD
One Island Lake854.050.894.711.564.771.963.441.83
Mile 88571.650.190.890.232.630.811.560.88
Prophet River725.391.104.612.604.001.723.281.90
Table 3. Percentage of plots that were FTG and not free-to-grow (NFTG) at trial establishment and after the 2019 growing season.
Table 3. Percentage of plots that were FTG and not free-to-grow (NFTG) at trial establishment and after the 2019 growing season.
MetricOne Island LakeMile 88Prophet River
FTG establishment3.722.831.9
NFTG establishment96.377.268.1
FTG after 2019 growth23.816.752.1
NFTG after 2019 growth76.283.347.9
Table 4. Mean ± standard deviation (SD) crop tree and competition tree heights (HT, m) and DBH (cm) growth from establishment to after the 2019 growing season at the three sites.
Table 4. Mean ± standard deviation (SD) crop tree and competition tree heights (HT, m) and DBH (cm) growth from establishment to after the 2019 growing season at the three sites.
SiteCrop TreeCompeting Trees
HTSDDBHSDHTSDDBHSD
One Island Lake3.421.355.261.937.771.903.171.27
Mile 885.101.107.071.754.942.263.552.05
Prophet River4.341.267.262.46n/an/a4.082.36
Table 5. Calculated basal area (BA) for spruce crop trees, spruce ingress, and broadleaves and TIPSY BA projection for spruce at the three sites after the 2019 season.
Table 5. Calculated basal area (BA) for spruce crop trees, spruce ingress, and broadleaves and TIPSY BA projection for spruce at the three sites after the 2019 season.
SiteSIAgeBA m2
TotalSpruceIngressBroadleafTIPSY $
One Island Lake203036.58.71.126.78.5
Mile 88261619.55.20.613.73.0
Prophet River222637.320.62.114.79.0
Note. $, TIPSY BA projection for a pure spruce stand of the appropriate age and SI for the site.
Table 6. Regression of DBH growth versus HDR (DBH = constant + x × establishment HDR) at trial establishment and DBH RGR versus DBH (RGR = constant + x × establishment DBH) at trial establishment.
Table 6. Regression of DBH growth versus HDR (DBH = constant + x × establishment HDR) at trial establishment and DBH RGR versus DBH (RGR = constant + x × establishment DBH) at trial establishment.
Siter2nEquationFp(F)
DBH = constant + x × establishment HDR
One Island Lake0.19809.695 − 0.0487 × HDR18.2110.0001
Mile 880.01557.511 − 0.0023 × HDR0.0950.7593
Prophet River0.327113.964 − 0.0896 × HDR32.4720.0000
RGR = constant + x × establishment DBH
One Island Lake0.23800.0862 − 0.0048 × Est DBH23.3200.0000
Mile 880.36550.2598 − 0.0677 × Est DBH29.9780.0000
Prophet River0.20710.0767 − 0.0026 × Est DBH17.7100.0001
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Hawkins, C.; Maundrell, C.; Beale, J. The Mixedwood Free-to-Grow Dilemma in Northeast British Columbia: A Case Study. Forests 2026, 17, 600. https://doi.org/10.3390/f17050600

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Hawkins C, Maundrell C, Beale J. The Mixedwood Free-to-Grow Dilemma in Northeast British Columbia: A Case Study. Forests. 2026; 17(5):600. https://doi.org/10.3390/f17050600

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Hawkins, Christopher, Christopher Maundrell, and Jeffrey Beale. 2026. "The Mixedwood Free-to-Grow Dilemma in Northeast British Columbia: A Case Study" Forests 17, no. 5: 600. https://doi.org/10.3390/f17050600

APA Style

Hawkins, C., Maundrell, C., & Beale, J. (2026). The Mixedwood Free-to-Grow Dilemma in Northeast British Columbia: A Case Study. Forests, 17(5), 600. https://doi.org/10.3390/f17050600

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