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Dive into the research topics where Daniel Moreno-Fernández is active.

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Featured researches published by Daniel Moreno-Fernández.


European Journal of Forest Research | 2014

Response to the interaction of thinning and pruning of pine species in Mediterranean mountains

Daniel Moreno-Fernández; Mariola Sánchez-González; Juan Gabriel Álvarez-González; Andrea Hevia; Juan Majada; Isabel Cañellas; Guillermo Gea-Izquierdo

Pruning allows knot-free timber to be obtained, thereby increasing the value of the highest-value wood products. However, the effect of pruning on growth is under discussion, and knowledge about the tree response to the simultaneous development of thinning and pruning is scarce. The objective of this study was to analyze the effect of the interaction of thinning and pruning on tree and stand level and the annual radial growth of two pine species native to Mediterranean mountains. We used long-term data of three trials installed in pine stands where several combinations of pruning and thinning were developed. Five inventories were carried out for each trial, and the mean dasometric features of the different treatments were compared using linear mixed models including a competition index. In addition, we collected cores from ten trees per plot in order to evaluate the annual response of trees to the thinning and pruning. We analyzed the annual radial growth using a semiparametric approach through a smooth penalized spline including rainfall and temperature covariates. Pruning did not show any effect on growth. However, larger diameter and increased annual radial growth were found in thinned plots, both with and without pruning, as compared to unthinned plots. Also, we found significant effects of climate on annual radial growth. We recommend the application of thinning and pruning in stands of Mediterranean mountains in order to get knot-free timber since growth reduction was not found in thinned stands.


Annals of Forest Science | 2015

Alternative approaches to assessing the natural regeneration of Scots pine in a Mediterranean forest

Daniel Moreno-Fernández; Isabel Cañellas; Ignacio Barbeito; Mariola Sánchez-González; Alicia Ledo

Key messageIn modelling regeneration patterns, parametric regression is recommended because it can account for the spatial and temporal correlation present in the data, whereas decision trees allow more complex interactions and can be used to reduce the number of variables.ContextThe establishment of seedlings after regeneration fellings is key to guaranteeing the development and persistence of the forest. Depending on the objective pursued, data available or type of forest, a number of different methods have been employed to assess the relationship between seedling establishment and both environmental and stand factors. Most authors have conducted their analyses using parametric regression or point pattern analysis.AimWe analysed the way in which light, stand conditions, edaphic and topographic variables affect the regeneration of Pinus sylvestris L. in Central Spain. We used different methods to analyse the same data set. The strengths and weaknesses of each method were discussed.MethodsWe used two parametric approaches: generalized linear mixed model regression using a negative binomial followed by the variant explanatory variables reduction prior to regression as well as three nonparametric approaches not commonly employed in forest regeneration: nonmetric multidimensional scaling, regression trees and random forests algorithm.ResultsThe parametric regression identified a larger number of variables associated with the regeneration process and the inclusion of a random effect in the model allowing the consideration of the spatial variability among plots. However, decision trees captured the complex interaction among variables, which typical parametric methods were unable to detect.ConclusionDifferent statistical methods gave similar insights into the underlying ecological process. However, different statistical premises with inference implications can be noticed. This may give misinterpretation of the model depending on the nature of the data. The choice of a given method should be made according to the nature of the data and the achievement of desirable results.


Annals of Forest Science | 2013

Thinning increases cone production of stone pine (Pinus pinea L.) stands in the Northern Plateau (Spain)

Daniel Moreno-Fernández; Isabel Cañellas; Rafael Calama; Javier Gordo; Mariola Sánchez-González

ContextEdible stone pine (Pinus pinea L.) nut is a forest product which provides the highest incomes to the owners of stone pine forests.AimThe objective of this work is to evaluate the effect of first thinning on growth and cone production in an artificially regenerated stand in order to determine optimum intensity.MethodsA thinning trial was installed in 2004 to compare two thinning regimes (heavy and moderate) and a control treatment. From 2004 to 2012, six inventories of forest attributes were carried out, and the cone crop was harvested annually. We evaluated the effect of thinnings on growth using repeated measures analysis of variance with a mixed model approach. With regards to cone production, we first estimated the probability of finding cones in a tree by applying a generalized mixed model and then estimated cone production by using a mixed model, including climatic variables.ResultsWe found that thinning had a positive influence on tree diameter increment. Thinning increased the probability of finding cones and cone production. However, significant differences between heavy and moderate thinnings were not found.ConclusionWe recommend early silvicultural treatments in stone pine stands to favor the development of trees and larger edible pine nut production.


Science of The Total Environment | 2017

Towards complete and harmonized assessment of soil carbon stocks and balance in forests: The ability of the Yasso07 model across a wide gradient of climatic and forest conditions in Europe

Laura Hernández; Robert Jandl; Viorel Blujdea; Aleksi Lehtonen; Kaie Kriiska; Iciar Alberdi; Veiko Adermann; Isabel Cañellas; Gheorghe Marin; Daniel Moreno-Fernández; Ivika Ostonen; Mats Varik; Markus Didion

Accurate carbon-balance accounting in forest soils is necessary for the development of climate change policy. However, changes in soil organic carbon (SOC) occur slowly and these changes may not be captured through repeated soil inventories. Simulation models may be used as alternatives to SOC measurement. The Yasso07 model presents a suitable alternative because most of the data required for the application are readily available in countries with common forest surveys. In this study, we test the suitability of Yasso07 for simulating SOC stocks and stock changes in a variety of European forests affected by different climatic, land use and forest management conditions and we address country-specific cases with differing resources and data availability. The simulated SOC stocks differed only slightly from measured data, providing realistic, reasonable mean SOC estimations per region or forest type. The change in the soil carbon pool over time, which is the target parameter for SOC reporting, was generally found to be plausible although not in the case of Mediterranean forest soils. As expected under stable forest management conditions, both land cover and climate play major roles in determining the SOC stock in forest soils. Greater mean SOC stocks were observed in northern latitudes (or at higher altitude) than in southern latitudes (or plains) and conifer forests were found to store a notably higher amount of SOC than broadleaf forests. Furthermore, as regards change in SOC, an inter-annual sink effect was identified for most of the European forest types studied. Our findings corroborate the suitability of Yasso07 to assess the impact of forest management and land use change on the SOC balance of forests soils, as well as to accurately simulate SOC in dead organic matter (DOM) and mineral soil pools separately. The obstacles encountered when applying the Yasso07 model reflect a lack of available input data. Future research should focus on improving our knowledge of C inputs from compartments such as shrubs, herbs, coarse woody debris and fine roots. This should include turnover rates and quality of the litter in all forest compartments from a wider variety of tree species and sites. Despite the limitations identified, the SOC balance estimations provided by the Yasso07 model are sufficiently complete, accurate and transparent to make it suitable for reporting purposes such as those required under the UNFCCC (United Nations Framework Convention on Climate Change) and KP (Kyoto Protocol) for a wide range of forest conditions in Europe.


European Journal of Forest Research | 2018

Regeneration dynamics of mixed stands of Pinus pinaster Ait. and Pinus pinea L. in Central Spain

Daniel Moreno-Fernández; Fernando Montes; Mariola Sánchez-González; Francisco Javier Gordo; Isabel Cañellas

The dynamics of mixed stands are more complex and less studied than those of monospecific stands. The objective of this work was to analyze the variables involved in seedling occurrence and seedling survival in mixed stands of Pinus pinaster and P. pinea in Mediterranean areas. From 2011 to 2016, regeneration of both species was monitored at two sites located in Central Spain. We installed 72 regeneration plots where seedling dynamics were monitored. All the trees in the study areas were measured and mapped. Additionally, we took hemispherical photographs in each regeneration plot. The average density of P. pinea seedlings over the study period was almost 20 times larger than that of P. pinaster. Our results indicate that the seedlings of both species grow under moderate light conditions. In addition, we found that the occurrence of seedlings of both species was related to the structure of the stand. P. pinea seedlings grew where the density and size of P. pinaster trees were low and where P. pinea trees provided moderately sheltered conditions, whereas the number of P. pinaster seedlings was related to under intermediate densities of P. pinaster trees. Furthermore, seedling survival was positively associated with age of the seedlings and negatively with the August average maximum temperature. The temporal continuity of mixed stands of P. pinea and P. pinaster in the study area is compromised by the observed lack of regeneration of P. pinaster.


Forest Ecology and Management | 2015

Temporal carbon dynamics over the rotation period of two alternative management systems in Mediterranean mountain Scots pine forests

Daniel Moreno-Fernández; Eugenio Díaz-Pinés; Ignacio Barbeito; Mariola Sánchez-González; Fernando Montes; Agustín Rubio; Isabel Cañellas


Forest Ecology and Management | 2016

Space–time modeling of changes in the abundance and distribution of tree species

Daniel Moreno-Fernández; Laura Hernández; Mariola Sánchez-González; Isabel Cañellas; Fernando Montes


Forest Ecology and Management | 2019

Negative synergistic effects of land-use legacies and climate drive widespread oak decline in evergreen Mediterranean open woodlands

Daniel Moreno-Fernández; Alicia Ledo; Dario Martin-Benito; Isabel Cañellas; Guillermo Gea-Izquierdo


Forests | 2018

Do Common Silvicultural Treatments Affect Wood Density of Mediterranean Montane Pines

Daniel Moreno-Fernández; Andrea Hevia; Juan Majada; Isabel Cañellas


Forest Ecology and Management | 2018

National-scale assessment of forest site productivity in Spain

Daniel Moreno-Fernández; Juan Gabriel Álvarez-González; Roque Rodríguez-Soalleiro; María Pasalodos-Tato; Isabel Cañellas; Fernando Montes; Emilio Díaz-Varela; Mariola Sánchez-González; Felipe Crecente-Campo; Pedro Álvarez-Álvarez; Marcos Barrio-Anta; César Pérez-Cruzado

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Isabel Cañellas

Center for International Forestry Research

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Mariola Sánchez-González

Center for International Forestry Research

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Fernando Montes

Center for International Forestry Research

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Juan Gabriel Álvarez-González

University of Santiago de Compostela

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María Pasalodos-Tato

Center for International Forestry Research

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Emilio Díaz-Varela

University of Santiago de Compostela

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Felipe Crecente-Campo

University of Santiago de Compostela

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