A spatial distribution model of cork oak (Quercus suber) in southwestern Spain: A suitable tool for reforestation

Hidalgo, Pablo J.; Marín, J.M.; Quijada, J.; Moreira, José Manuel

doi:10.1016/j.foreco.2007.07.012

Cited by 49 publications

(38 citation statements)

References 33 publications

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“…Palma et al (2015) showed that adaptation of forest management by optimizing cork extraction schedule, reducing debarking surface, and increasing tree density could increase cork productivity under future climate change. However, given the heterogeneity of cork oak forests, the promotion of long term sustainable management practices and proactive measures based on afforestation efforts aimed at maintaining biodiversity and ecosystem services should be assessed at local or regional scale (Berrahmouni et al 2009;Hidalgo et al 2008). The change in climate not only affects cork oaks, but also many of the pathogens of cork oak, and the interaction of these pathogens with their host.…”

Section: Impact Of Climate Change On Cork Oak Forestsmentioning

confidence: 99%

Endemic and Emerging Pathogens Threatening Cork Oak Trees: Management Options for Conserving a Unique Forest Ecosystem

et al. 2016

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Cork oak (Quercus suber) forests are economically and culturally intertwined with the inhabitants of the Mediterranean basin and characterize its rural landscape. These forests cover over two million hectares in the western Mediterranean basin and sustain a rich biodiversity of endemisms as well as representing an important source of income derived from cork production. Currently cork oak forests are threatened by several factors including human-mediated disturbances such as poor or inappropriate management practices, adverse environmental conditions (irregular water regime with prolonged drought periods), and attacks of pathogens and pests. All these adverse factors can interact, causing a complex disease commonly known as “oak decline.” Despite the numerous investigations carried out so far, decline continues to be the main pathological problem of cork oak forests because of its complex etiology and the resulting difficulties in defining suitable control strategies. An overview of the literature indicates that several pathogenic fungi and oomycota can play a primary role in the etiology of this syndrome. Therefore, the aim of this review is to analyze the recent advances achieved regarding the bio-ecology of the endemic and emerging pathogens that threaten cork oak trees with particular emphasis on the species more directly involved in oak decline. Moreover, the effect of climate change on the host-pathogen interactions, a task fundamental for making useful decisions and managing cork oak forests properly, is considered.

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Section: Impact Of Climate Change On Cork Oak Forestsmentioning

confidence: 99%

Endemic and Emerging Pathogens Threatening Cork Oak Trees: Management Options for Conserving a Unique Forest Ecosystem

et al. 2016

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“…Includes all valid legal taxes. Tables 4 and 5 location of cork oak stands, since the relationship of local edafoclimatic variables and tree productivity has been demonstrated on several occasions (Hidalgo et al, 2008;Lacambra et al, 2010;Paulo et al, 2015). When looking at the relationship between the curves, the ones denoting high and medium site indices are nearly parallel in all the graphics, indicating that for stands located in good sites the site index does not have a strong impact on the definition of the CDR that maximizes EAA.…”

Section: Discussionmentioning

confidence: 97%

Using the SUBER model for assessing the impact of cork debarking rotation on equivalent annual annuity in Portuguese stands

Paulo

Tomé

2017

For. syst.

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Aim of study: Use the SUBER model to evaluate the influence of the cork debarking rotation period (CDR) on equivalent annual annuity (EAA) value.Area of study: Nine simulated stands, varying in site index (14.4, 15.6, 17.1) and cork quality characteristics (high, medium, low). Material and methods:EAA values were computed considering CDR periods varying from 9 to 14 years, two contrasting structures of cork prices (high and low cork price scenarios), and three discount rate values (0.5%, 2% and 5%).Main results: For discount rates of 0.5% and 2% the impact of different CDR on the EAA is similar. In stands characterized by high to average site index values or high to medium cork quality characteristics, CDR of 9 and 11 years are associated with similar values of EAA. The variation of the CDR in stands characterized by low site index values and/or low cork quality characteristics did not have a relevant effect on the variation of EAA. For the simulations carried out with a discount rate of 5% the EAA decreases with the increase of CDR, indicating that the minimum legal value of 9 years for CDR should be applied.Research highlights: In stands characterized by high to average site index values or high to medium cork quality characteristics, a delay in the debarking may result in a significant increase of cork thickness and, as a result, of cork price. Detailed knowledge of cork and stand characteristics and updated information on cork prices structure and values are essential for the best usage of management tools such as the SUBER model, which can contribute to the decision-making process concerning the debarking operation.Keywords: adaptive forest management; cork production; cork price; cork quality; growth and yield model; site index.Correspondence should be addressed to Joana Amaral Paulo: joanaap@isa.ulisboa.pt

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“…The ecological niche modeling allows the extrapolation of this information to a geographical plan, being a tool of great practical value for many goals and decision support. This may be particularly important when choosing the right species for reforestation plans and to guarantee environmental suitability (HIDALGO et al, 2008;COELHO et al, 2016). This strategy may increase the success and feasibility of reforestation.…”

Section: Ecological Niche Predicted Mapsmentioning

confidence: 99%

Modeling Ecological Niche of Tree Species in Brazilian Tropical Area

Carvalho

Gomide

Santos

et al. 2017

CERNE

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ABSTRACT:Modeling of the ecological niche of vegetal species is useful for understanding the species-environment relationship, for prediction of responses to climate changes and for correct reforestation programs and establishment of plantation's recommendation. The objective of this work was to establish a model for the distribution of four tree species (Casearia sylvestris, Copaifera langsdorffii, Croton floribundus and Tapirira guianensis), widely used in reforestation projects in the state of Minas Gerais, Brazil. In addition, we analyzed the relationship between environmental characteristics and the occurrence of species and tested the performance of Random Forest and Artificial Neural Networks as modeling methods. These methods were evaluated by their overall accuracy, sensitivity, specificity, Kappa, true skill statistic and the area under the receiver operating curve. The results showed the species Casearia sylvestris, Copaifera langsdorffii and Tapirira guianensis widely occurring in the state of Minas Gerais, including a broad range of environmental variables. Croton floribundus had restricted occurrence in the southern state, showing narrow environmental variation. The resulting algorithms demonstrated greater performance when modeling restricted geographic and environmental species, as well as species occurring with high prevalence in data. The algorithm Random Forest performed better for distribution modeling of all species, although the results varied for each metric and species. The maps generated had acceptable metrics and are supported by and ecological information obtained from other sources, constituting a useful tool to understand the ecology and biogeography of the target species. MODELAGEM DO NICHO ECOLÓGICOS DE ESPÉCIES ARBÓREAS EM UMA ÁREA TROPICAL BRASILEIRARESUMO: A modelagem de nicho ecológico de uma espécie é útil para a compreensão da relação espécie-ambiente, para a previsão do comportamento frente às alterações climáticas e para a indicação correta em reflorestamentos e estabelecimento de plantações. O objetivo foi modelar a distribuição de quatro espécies arbóreas amplamente utilizadas em projetos de reflorestamento no estado de Minas Gerais (Casearia sylvestris, Copaifera langsdorffii, Croton floribundus e Tapirira guianensis). Como complemento, o objetivo foi analisar a relação entre as características ambientais e a ocorrência de espécies e testar o desempenho das técnicas random forest e redes neurais artificiais como métodos de modelagem. Estes métodos foram avaliados pelas métricas de acurácia global, sensibilidade, especificidade, kappa, true skill statistic e área sob a curva. Verificou-se que as espécies Casearia sylvestris, Copaifera langsdorffii e Tapirira guianensis apresentaram ampla área de ocorrência no estado Minas Gerais, cobrindo ampla gama de variáveis ambientais. Já Croton floribundus demonstrou ocorrência restrita do sul do estado, mostrando estreita variação ambiental. Os resultados dos algoritmos demonstraram maior desempenho na modelagem de espécies geograf...

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A spatial distribution model of cork oak (Quercus suber) in southwestern Spain: A suitable tool for reforestation

Cited by 49 publications

References 33 publications

Endemic and Emerging Pathogens Threatening Cork Oak Trees: Management Options for Conserving a Unique Forest Ecosystem

Endemic and Emerging Pathogens Threatening Cork Oak Trees: Management Options for Conserving a Unique Forest Ecosystem

Using the SUBER model for assessing the impact of cork debarking rotation on equivalent annual annuity in Portuguese stands

Modeling Ecological Niche of Tree Species in Brazilian Tropical Area

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