Determining the balance between active and passive indigenous forest restoration after exotic conifer plantation clear-fell

2021 
Abstract The decline in forest area from local to global scales has been partly attributed to land-use changes. There is an increasing demand to reverse this land use change by the restoration of former forests. In Aotearoa/New Zealand, there is a desire to re-establish indigenous forests when some exotic conifer plantations are clear-felled. Ngāti Whare, a Māori tribe in the central North Island, wish to use plantings and natural regeneration to restore indigenous conifer-angiosperm forest on an area currently covered by such plantations. Large-scale indigenous forest restoration by planting is potentially costly and logistically demanding and there is therefore a need to find an optimal balance between active and passive restoration. We collected field data across 206 ha of exotic conifer plantation clear-fells to model the spatial distribution of indigenous tree species regeneration and weed cover importance values (IV) as measures of ecosystem resilience. Strong relationships were found between site factors (i.e., elevation, slope, slope aspect, distance from seed source, and clear-fell age) and our measures of resilience in clear-fells. We therefore used these modelled relationships, along with GIS layer generated site factors, to map potential indigenous regeneration and weed cover IV on the nearby 583-ha Ngāti Whare restoration area. These maps show the balance between active and passive restoration that will be required when the restoration area is clear-felled. Active restoration would require that seedlings are planted across 48% of the restoration area, along with appropriate weed control, while passive restoration, with just weed control, would be required on 52% of the area. A sensitivity analysis showed that these proportions were sensitive to assumptions around required seedling densities and weed cover so that we suggest further work to clarify these assumptions. To our knowledge, this approach has not been applied elsewhere to indigenous forest restoration and this study provides a template for guiding future landscape scale restoration projects.
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