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Citations since 2017
23 Research Items
I am interested in the ecology and evolution of plant defense and how it is shaped by the concerted action of herbivores, pollinators and abiotic factors, which often vary in space and time. I conduct greenhouse and field experiments to address questions about multiple aspects of plant defense (e.g., induced defense, chemical diversity, defense tradeoffs) at individual (e.g., within-plant variation) to population level scales (e.g., patterns of local adaptation along environmental gradients).
January 2020 - present
- PostDoc Position
- Evolution of phytochemical diversity and specificity of plant toxins from different plant parts (roots, leaves, seeds and latex) to insect herbivores feeding on those tissues.
April 2019 - September 2019
- PostDoc Position
- Research focused in cross resistance to herbivory, drought, and disease between maritime pine populations (from individuals to populations), and genetic tradeoffs between multiple constitutive defences among populations from two diverse environments.
March 2014 - March 2018
- PhD Student
- My research is focused on the investigation of the local adaptation signatures in constitutive and induced chemical defences among and within pine populations, particularly the Maritime pine, across its distribution range.
September 2009 - June 2011
University of Vigo-University of Alicante
Field of study
- Biology: Environmental Sciences
Induced defences in conifers are an effective strategy that allows individuals to increase resistance against pests and pathogens by optimizing associated costs. Studies exploring inducibility of defences in conifers have usually been conducted in young individuals (i.e., seedlings and saplings) whereby effects were addressed within weeks or months...
La resina producida por los pinos es un recurso renovable con múltiples aplicaciones industriales, lo que ha generado un creciente interés en este producto forestal. La extracción de resina emerge como una actividad económica complementaria a la producción maderera que puede contribuir significativamente a la fijación de población rural y a evitar...
Environmental clines in organismal defensive traits are usually attributed to stronger selection by enemies at lower latitudes or near the host’s range center. Nonetheless, little functional evidence has supported this hypothesis, especially for coevolving plants and herbivores. We quantified cardenolide toxins in seeds of 24 populations of common...
Coevolution between plants and herbivores often involves escalation of defense‐offense strategies, but attack by multiple herbivores may obscure the match of plant defense to any one attacker. As herbivores often specialize on distinct plant parts, we hypothesized that defense‐offense interactions in coevolved systems may become physiologically and...
As massive, sessile and long-lived organisms, Mediterranean pines are exposed to a wide array of insect herbivores that feed on their tissues causing damage and ultimately, tree death. To protect themselves against biotic risks, pines have a complex battery of chemical and physical defenses, that act directly to kill or repel the antagonist organis...
Despite long-standing interest in local adaptation of plants to their biotic and abiotic environment, existing theory, and many case studies, little work to date has addressed within-species evolution of concerted strategies and how these might contrast with patterns across species. Here we consider the interactions between pollinators, herbivores,...
The potential of pine resin as a renewable non-timber product is furthering the socioeconomic relevance of the resin industry in Europe, where maritime pine (Pinus pinaster Ait.) is the main tapped species. Characterizing maritime pine genetic resources in terms of resin yield potential and its covariation with tree growth is crucial to implement e...
1. The Resource Availability Hypothesis (RAH) was formulated to disentangle patterns of variation among species in plant antiherbivore defences. A novel theoretical framework was recently proposed to expand the RAH among populations within species (RAHintra), but unresolved conceptual issues and considerable gaps surrounding the new hypothesis stil...
Inducibility of defences in response to biotic stimuli is considered an important trait in plant resistance. In conifers, previous research has mostly focused on the inducibility of the volatile fraction of the oleoresin (mono- and sesquiterpenes), leaving the inducibility of the non-volatile resin acids largely unexplored, particularly in response...
Resin ducts are important anatomical defensive traits related to biotic resistance in conifers. Previous studies have reported intraspecific genetic variation in resin duct characteristics. However, little is currently known about the micro-evolutionary patterns and adaptive value of these defensive structures. Here, we quantified inter-population...
El gorgojo del pino (Hylobius abietis) es una de las plagas más devastadoras en las plantaciones de coníferas en el norte y centro de Europa. Aunque también está presente y es potencialmente dañino en el sur de Europa, se ha prestado poca atención a esta plaga en esa región. Con el objetivo de cuantificar el riesgo potencial del gorgojo como plaga...
The pine weevil (Hylobius abietis) is one of the most devastating pests of regenerated coniferous forests in northern and central Europe. Although it is also present and potentially harmful in southern Europe, little attention has been paid to this pest in that region. With the aim of quantifying the potential risk of the pine weevil as a forest pe...
1. Interspecific phenotypic variation in plant secondary metabolites (PSM) is often explained by biotic and abiotic factors. However, patterns of variation within species do not clearly fit the theoretical predictions. Exploring how genetics, environment and demographic processes shape such variation among and within populations is crucial for unde...
Resistance to herbivores and pathogens is considered a key plant trait with strong adaptive value in trees, usually involving high concentrations of a diverse array of plant secondary metabolites (PSM). Intraspecific genetic variation and plasticity of PSM are widely known, however, their ecology and evolution are unclear, and even the implication...
Light is a major environmental factor that may determine the interaction between plants and herbivores in several ways, including top-down effects through changes in herbivore behavior and bottom-up effects mediated by alterations of plant physiology. Here we explored the relative contribution of these two regulation processes to the outcome of the...
Pinus pinaster harbour large genetic variation between and within populations in many life history traits. Previous research found that the chemical profile of the secondary metabolites are particular of the site of origin of the populations assessed in common gardens. However, these secondary metabolites were explored only in their constitutive st...
Pine trees are long-lived, widespread organisms that have to cope with multiple biotic stresses during their life cycle. To face against biological aggressions pine trees harbour terpenoids and phenolics as major chemical defences that may avoid or deter the attack providing resistance. Mono and sesquiterpenes, the volatile fraction of oleoresin, h...
Maritime pine can respond to antagonistic interactions with herbivores and pathogens by producing a modified phenotype with increased resistance that usually involves quantitative and qualitative changes in chemical defences. Maritime pine harbour a large intraspecific variation in life history traits, however little is still known about across pop...
Pine trees are long-lived, widespread organisms that have to cope with multiple biotic stressors during its life cycle. To face against biological aggressions pine trees harbour a wide variety of secondary compounds that may avoid or deter the attack providing resistance. Terpenoids and phenolics are the major pine chemical defences. Mono and sesqu...
Maritime pine can respond to antagonistic interactions with herbivores and pathogens by producing a modified phenotype with increased resistance. That involves quantitative and qualitative changes in chemical defences in target pine tissues. It is known that both genotype and environmental factors such as resource availability may modulate those in...
Plants have evolved plastic responses to face the multiple stressors they have to cope with, such as light availability and insect herbivory. The former may impact the ability of producing induced defenses in response to herbivory due to conflicts in the allocation of C resources in absence of photosynthesis, and also because light may directly mod...
Entomophthora muscae, englobed in a multispecific complex, is a dipteran epozootic fun-gus. In its life cycle, the fungus uses its host Musca domestica as a platform to execute its spreading strategies.These are characterized by behavioral, morphologic and phys-iologic modifications.The sexual cycle is not well reported; due to its taxonomic po-sit...
I am new with Bayestraits v3.0.1. Fortunately, I already set up the data, tree, parameters and command list to test for phylogenetic signal in several traits and I would like to analyze every single trait individually in a single step instead of changing the script for every trait before running. I work on Windows.
I am performing PCA analysis using PROC FACTOR PROCEDURE in SAS 9.4. I use the same dataset all time, but I obtain different loading scores of my variables for each of the factors when I specify different NFACTORS to extract. The rest of the output remains invariable (eigenvalues, % variance explained...). The dataset comprises 60 variables and 500 observations (thanks Horst for pointing). This is my script:
PROC FACTOR DATA=raw
NFACT= from 2 to 50 for example
OUT=outputdata; ODS OUTPUT OrthRotFactPat=varimax eigenvalues=eigenvalues;
VAR var1 var2 var3 var4 ... var60
I use the same dataset and the only thing I change is NFACT, that is the number of factors that I want to extract. It seems like the calculations of eigenvalues and % variance explained is independent of the calculations of the loading scores. By reading some specific articles and websites it seems that if you request more factors to be extracted, your residual correlations get smaller and you will find more "fit-statistically" factors according to your variables (which does not mean more interpretability of the results).
However I feel a bit confused with this and I would really appreciate any comment clarifying this point. Maybe I am missing something in the script?
Thank you in advance!!
I am very new with this... I am trying to perform a SAS analysis on several sites about the incidence of an insect over time measuring damage inflicted on planted young pine seedlings in pine clearcuts. We have the following factors:
SITE, TIME, PINE SPECIES, BLOCKS (within SITES).
Site and block(site), species and time are fixed. But because the design implies measuring over time every plant placed within each block (5 plants per species per block) and each plant is independent of each other in other blocks and sites, I considered the following script:
proc mixed data=SITES covtest;
class SITE TIME BLOCK PLANT SPECIES;
model damage=TIME|SITE|SPECIES BLOCK(TIME*SITE);
repeated TIME /subject=PLANT*SPECIES(B*SITE);
I remember that also provides the same output if /subject=PLANT(SPECIES*B*SITE)
Thank you very much.
I have 7 terpene external standards but I found nearly 60 terpene compounds in my pine samples which I do not have standards. In each sample I have also internal standard. I know that between terpene volatiles the differences in chemical structure are quite diverse, not like many of the diterpene resin acids.
What is the basis to assign an equivalence to a terpene without standard using another terpene which I have its standard?
- Closest terpene with standard in the chromatogram?
- Closest terpene using chemical structure?
- Using internal standard with those I do not have external standard?
Ex. Suppose I have Pinocarvone in my sample, but not its external standard. As external standards I have a-Pinene, b-Pinene, Limonene and b-Caryophyllene. Which one could be the best for that compound and why?
This is a question addressed more to chemists than ecologists (like me).
Thank you very much in advance.
The project focuses in the trade-offs among life-history and ecophysyological traits defining adaptive syndromes in a set of forest species (Iberian pines). We want to understand how micro-evolutionary processes -including intra and interpopulation differentiation- interplay with plasticity in the integrated phenotype. Adult and new common garden experiments together with a new generation of selection experiments are used to this purpose.