Forest conservation, wood production intensification and leakage: An Australian case

Warman, Russell

doi:10.1016/j.landusepol.2015.12.020

Cited by 17 publications

(14 citation statements)

References 27 publications

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“…The increasing difference in classifier performance may be attributed to the difficulty in discriminating between the plantation forests and native forests classes: user's accuracy decreased by 0.078 for native forest from 1979 to 2014 for the SVM classifier, whereas producer accuracy for plantation forests decreased from 0.829 in 1992 to 0.691 in 2014 as the plantations from the 1990s matured (with similar trends in classification success over time for CART and RF; Table 6). This pattern of LULC changes is consistent with the introduction of the Plantation for Australia -The 2020 Vision in 1997 and The Federal Managed Investments Act of 1998, which were both supported by a favourable federal government tax treatment, termed the Management Investment Schemes (MIS) (Warman & Nelson, 2016). The 2020 Vision included a goal for a threefold increase in plantation area by 2020 in Australia.…”

Section: Resultssupporting

confidence: 66%

Discriminating native and plantation forests in a Landsat time-series for land use policy design

Nery

Sadler

Aulestia

et al. 2019

International Journal of Remote Sensing

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The upper Warren catchment of southwest Australia is an area of high biodiversity threatened by the loss of native vegetation and dryland salinity. Over the last 20 years it has been the target of a series of policies that incentivise land conversion to plantation forestry. Remote sensing has a key role in measuring the effectiveness of policy initiatives and trends in the plantation forest area across the landscape as this allows a prediction of the future effects on dryland salinity and aquatic biodiversity. Despite its importance to land-use policy, accurate data on land cover dynamics are not available. Regular, low cost monitoring of long-term change in the spatial distribution of plantation forests through remote sensing is a critical input into environmental policy for the catchment. To this end, a 35 year time-series of Landsat imagery was acquired, and three different classifiers were tested (Support Vector Machines-SVM; Random Forests-RF; and Classification and Regression Trees-CART) on the four bands held in common between the four Landsat Sensors (MSS 1979; TM 1992; ETM+ 2003; OLI 2014). The six major land-use and land-cover classes considered were agriculture, water, native forest, sand dunes, plantation forest and harvested native forest. In classifying the imagery the SVM and RF outperformed the CART across all classes. SVM presented an improved fit over RF, with highest overall accuracy for the 1979 image (92%) and lowest for the 2003 imagery (80%). Eucalypt dominated plantation forests reaching full canopy cover were subject to the highest rates of misclassification inasmuch as they share spectral properties with the Eucalypt dominant native forest. Despite this spectral similarity between both forest types the SVM classifier gave a slightly higher F-score for most individual classes than the RF or CART. Further, the RF class predictions lead to a spurious salt-and-pepper effect, in more cases than CART or SVM. The accuracy of the SVM classifications provide a basis for demonstrating the effects of past policy initiatives and designing efficient environmental and conservation policy in the future.

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Section: Resultssupporting

confidence: 66%

Discriminating native and plantation forests in a Landsat time-series for land use policy design

Nery

Sadler

Aulestia

et al. 2019

International Journal of Remote Sensing

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“…More specifically, when all other factors are constant, net wood imports could lower pressures on domestic forests, while net wood exports could increase them (Kastner et al 2011). This phenomenon of inadvertently shifting impacts elsewhere is often referred to as "leakage" or "displacement" in the literature (Warman and Nelson 2016). Economic globalization may facilitate nationalscale forest transitions through the displacement of deforestation overseas (Meyfroidt and Lambin 2009), and thus decrease the regional and global environmental benefits of policies and schemes aimed at conserving local forest ecosystems (Meyfroidt et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Effects of economic globalization and trade on forest transitions: Evidence from 76 developing countries

Liu

Cheng

et al. 2017

The Forestry Chronicle

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Current forest recovery efforts in developing countries are different from previous efforts in developed countries, especially since the rise of economic globalization in the 1980s. Therefore, forest transition theory should now consider factors relating to industrialization, urbanization, and globalization. While previous studies have mainly focused on the variable trade of primary sector products, this study applies a more holistic research perspective and discusses, more widely, the links between trade, adjustment of trade structure, FDI, and forest transition. The results suggest that the total export value has a significant negative effect on forest area and volume, while the percentage of non-primary products has a significant positive impact on forest volume and density in the 76 developing countries studied. These results indicate that a country or region may improve the forest resource conditions by upgrading the export structure through the development of export-oriented manufacturing and service industries during the process of global industrial restructuring. This demonstrates the need to consider the overall global economic situation of a country when exploring the effects of economic globalization on forest transitions. In addition, this study attempts to address extant concerns regarding the quality of forest transitions by moving beyond the analysis of forest coverage to explore changes in both forest area and forest volume.Keywords: forest transition; reforestation; economic globalization; trade RÉSUMÉ Présentement, les efforts consacrés à la régénération forestière dans les pays en voie de développement diffèrent de ceux que les pays développés y consacraient auparavant en raison surtout de l'avènement de la mondialisation économique au cours des années '80. C' est pourquoi la théorie sur la transition forestière devrait maintenant tenir compte des facteurs liés à l'industrialisation, à l'urbanisation et à la mondialisation. Si les études précédentes ont surtout porté sur le commerce changeant pour les produits du secteur primaire, cette étude adopte une approche plus holistique et traite de façon plus globale des liens entre le commerce, les changements à la structure commerciale, l'IDE et la transition forestière. Les résul-tats laissent voir qu'une hausse de la valeur totale des exportations se traduit par une baisse significative de la surface des forêts et le volume forestier alors que l'augmentation du pourcentage de produits transformés influence positivement le volume et la densité forestière dans les 76 pays en voie de développent faisant l' objet de cette étude. Ces résultats laissent entrevoir qu'un pays ou une région pourrait améliorer l' état de ses ressources forestières si elle modernisait sa structure d' exportation en favorisant la croissance d'industries manufacturières et de services en marge une restructuration industrielle globale. De là l'importance de considérer l' ensemble de la situation économique d'un pays lorsqu' on veut connaître les effets de la mondialisat...

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“…While research in Australia has demonstrated plantation forestry to be associated with a range of both positive and negative social, environmental and economic impacts (e.g. Warman & Nelson, 2016;Mercer & Underwood, 2002;Schirmer, 2000;Schirmer & Kanowski, 2001;Williams, 2014), the visual appearance of large scale plantation forestry is consistently identified as a cause for community concern (e.g. Fléchard, Carroll, Cohn, & Ní Dhubháin, 2007;Karjalainen, 2006;Tyrväinen & Tahvanainen, 2000).…”

Section: Introductionmentioning

confidence: 99%

Contested beliefs about land-use are associated with divergent representations of a rural landscape as place

Anderson

Ford

Williams

2017

Landscape and Urban Planning

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Forest conservation, wood production intensification and leakage: An Australian case

Cited by 17 publications

References 27 publications

Discriminating native and plantation forests in a Landsat time-series for land use policy design

Discriminating native and plantation forests in a Landsat time-series for land use policy design

Effects of economic globalization and trade on forest transitions: Evidence from 76 developing countries

Contested beliefs about land-use are associated with divergent representations of a rural landscape as place

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