Effects of tillage intensities on spatial soil variability and site-specific management in early growth of Eucalyptus grandis

Barrios, Pablo González; Bidegain, Mario; Gutiérrez, Lucı́a

doi:10.1016/j.foreco.2015.02.031

Cited by 16 publications

(6 citation statements)

References 52 publications

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“…The analysis undertaken served as an example of the possibilities of the hybrid equations demonstrating their capacity to accommodate the effects of soil moisture, VPD, and air temperature on growth. This offers innovative opportunities for forest management such as: i) assessing the effect of changes in factors such as climate change, or irrigation on growth; ii) assessing the consequences of applying tillage techniques that modify the water holding capacity of soils (Mason 2013); iii) analysing possible effects of changing growth factors on the structure of stands; iv) undertaking within-year analysis to assess the effect of seasonality on growth which could affect short-rotation plantations (Campoe et al 2016); v) classify sites according to limiting factors; and vi) analyse the influence of microsite on growth differentiation, to plan differential management (González-Barrios et al 2015;Salekin 2019).…”

Section: Model Applicationsmentioning

confidence: 99%

Modelling growth of Pinus taeda and Eucalyptus grandis as a function of light sums modified by air temperature, vapour pressure deficit, and water balance

Rachid-Casnati

Mason

Woollons

et al. 2020

NZJFS

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Background: Hybrid mensurational and physiological models seek to combine precision, process explanation, simplicity in parameter definition, and ability to estimate wood products. The aim of this study was to assess the suitability and the advantages of the hybrid mensurational-physiological approach where time has been substituted for light sums in growth equations, to replace traditional time-based models in forecasting systems for Eucalyptus grandis W.Hill and Pinus taeda L. Methods: Using 974 permanent sample plots from plantations in Uruguay, we adjusted growth equations to project dominant height, net basal area, maximum diameter breast height, and standard deviation of diameters as a function of accumulated light restricted by modifiers that account for principal physiological limitations on photosynthesis. We analysed: i) the inclusion of terrain aspect and slope information for computing radiation; ii) the use of modifiers for temperature, vapour pressure deficit and water balance; iii) bias and precision of hybrid models with respect to time-based equations. Results: Growth equations showed a good fit for both species when modelled as a function of light sums modified by vapor pressure deficit, air temperature, and water balance. Accounting for slope orientation when computing light sums did not increase precision. Compared to time-based formulations, hybrid models presented a root mean squared error reduction of 10.7% and 4.5% on average for Eucalyptus grandis and for Pinus taeda, respectively, and the relationship between growth and resource availability was consistent with eco-physiological principles for both species. Conclusions: The hybrid methodology can be applied as a basis of forecasting systems for the species studies with significant advantages over time-based models, such as: (i) an increase in precision; (ii) an increase in spatial and time resolution; and (iii) the possibility of simulating the effect of changes in air temperature and water availability on tree growth.

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Section: Model Applicationsmentioning

confidence: 99%

Modelling growth of Pinus taeda and Eucalyptus grandis as a function of light sums modified by air temperature, vapour pressure deficit, and water balance

Rachid-Casnati

Mason

Woollons

et al. 2020

NZJFS

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“…The methods for planting and managing eucalypt plantations also changed considerably with the arrival of dedicated mechanized equipment in the forest sector. Nowadays, forest plantations undergo considerable site preparation before planting operations (González Barrios et al, 2015; Pancel, 2016). Typically, the main objective of site preparation before planting is to facilitate root development, improve water infiltration conditions, reduce vegetation competition, and if it is the case, remove previous plantation stumps (González‐García et al, 2009; Madeira et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

What is the extension of bench terrace construction for forest plantations? The case of North Central Portugal

et al. 2023

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Over the last decades, the establishment of new fast‐growing forest plantations has been prospering. Although the European continent has the lowest share worldwide of forest plantations out of its total forest area, the Portuguese reality contrasts this. Since the last century, eucalypt plantations have increased widely in Portugal, and nowadays, it represents 36% of the total country's forests. Consequently, the soils of these plantations are commonly targeted with intensive soil mobilization by heavy machinery before planting, which in the case of sloped areas, frequently results in bench terracing. This study aims to quantify the widespread bench terracing implementation over the last 20 years in the Caramulo Mountains in north central Portugal. To do so, an analysis of satellite imagery was performed with Google Earth Pro, which allowed determining the coverage of forest areas where new terraces have been implemented, and their respective temporal dynamics. These results were then compared with additional spatiotemporal databases on land cover, topography, and bedrock, in order to understand the drivers of terrace implementation. Till date, 15% of the forest area in the mountains of Caramulo is under terraces, and over the last 20 years, the construction rate of new terraced land decreased in time, from 4% between 2000 and 2004 to 2% between 2015 and 2019. Among the two bedrock types existent in the area, terracing was found nearly exclusive over schist bedrock type (97%), while few areas were implemented over granites (3%). Their distribution was found limited above 30° of slope angle while 39% were found implemented below 15° of slope angle, conflicting with literature recommendations. Terracing was also found to be a driver of land cover change in 12% of the newly constructed terraces, whereas 8% were constructed over previous pine plantations and 4% on shrublands. This study allowed identifying several knowledge gaps associated with terracing implementation. Therefore, the authors of this work suggest a multidisciplinary approach when planning new terraces for a better assessment of the benefits and impacts of such land management practices.

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“…The Eucalyptus genus has more than 500 species, and a subset of these are used in fast-growing plantations (Barrios et al 2015), commonly located in tropical and sub-tropical regions, and more recently in temperate regions. Spain (González-García et al 2015), Portugal (Lopes et al 2009), Uruguay (Barrios et al 2015), Chile (Watt et al 2014), South Africa (Dye et al 2004), Australia (Verma et al 2014), and the USA (Wear et al 2015) are some examples of productive Eucalyptus plantations in temperate regions that have cutting cycles ranging from 8 to 12 years.…”

Section: Introductionmentioning

confidence: 99%

“…Spain (González-García et al 2015), Portugal (Lopes et al 2009), Uruguay (Barrios et al 2015), Chile (Watt et al 2014), South Africa (Dye et al 2004), Australia (Verma et al 2014), and the USA (Wear et al 2015) are some examples of productive Eucalyptus plantations in temperate regions that have cutting cycles ranging from 8 to 12 years. In tropical regions such as Brazil, the cutting cycles of Eucalyptus plantations range from 5 to 7 years (Guedes et al 2015, Scolforo et al 2016.…”

Section: Introductionmentioning

confidence: 99%

Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods

Reis

Carvalho

Mello

et al. 2018

N.Z. j. of For. Sci.

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Background: In fast-growing forests such as Eucalyptus plantations, the correct determination of stand productivity is essential to aid decision making processes and ensure the efficiency of the wood supply chain. In the past decade, advances in remote sensing and computational methods have yielded new tools, techniques, and technologies that have led to improvements in forest management and forest productivity assessments. Our aim was to estimate and map the basal area and volume of Eucalyptus stands through the integration of forest inventory, remote sensing, parametric, and nonparametric methods of spatial prediction. Methods: This study was conducted in 20 5-year-old clonal stands (362 ha) of Eucalyptus urophylla S.T.Blake x Eucalyptus camaldulensis Dehnh. The stands are located in the northwest region of Minas Gerais state, Brazil. Basal area and volume data were obtained from forest inventory operations carried out in the field. Spectral data were collected from a Landsat 5 TM satellite image, composed of spectral bands and vegetation indices. Multiple linear regression (MLR), random forest (RF), support vector machine (SVM), and artificial neural network (ANN) methods were used for basal area and volume estimation. Using ordinary kriging, we spatialised the residuals generated by the spatial prediction methods for the correction of trends in the estimates and more detailing of the spatial behaviour of basal area and volume. Results: The ND54 index was the spectral variable that had the best correlation values with basal area (r = − 0.91) and volume (r = − 0.52) and was also the variable that most contributed to basal area and volume estimates by the MLR and RF methods. The RF algorithm presented smaller basal area and volume errors when compared to other machine learning algorithms and MLR. The addition of residual kriging in spatial prediction methods did not necessarily result in relative improvements in the estimations of these methods. Conclusions: Random forest was the best method of spatial prediction and mapping of basal area and volume in the study area. The combination of spatial prediction methods with residual kriging did not result in relative improvement of spatial prediction accuracy of basal area and volume in all methods assessed in this study, and there is not always a spatial dependency structure in the residuals of a spatial prediction method. The approaches used in this study provide a framework for integrating field and multispectral data, highlighting methods that greatly improve spatial prediction of basal area and volume estimation in Eucalyptus stands. This has potential to support fast growth plantation monitoring, offering options for a robust analysis of high-dimensional data.

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Effects of tillage intensities on spatial soil variability and site-specific management in early growth of Eucalyptus grandis

Cited by 16 publications

References 52 publications

Modelling growth of Pinus taeda and Eucalyptus grandis as a function of light sums modified by air temperature, vapour pressure deficit, and water balance

Modelling growth of Pinus taeda and Eucalyptus grandis as a function of light sums modified by air temperature, vapour pressure deficit, and water balance

What is the extension of bench terrace construction for forest plantations? The case of North Central Portugal

Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods

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