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Current research projects

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ESCApE -Entendiendo las estrategias funcionales de árboles exóticos y nativos en bosques de ribera en un contexto de cambio global-

The invasion of exotic species is one of the current factors strongly influencing the loss of biodiversity worldwide. The main objective of this project is to evaluate possible displacements of native tree species by invasive ones in a context of increasing environmental stress, including not only global warming, but also anthropic disturbances. In order to achieve this objective, we will study the functional strategies of the invading and native trees co-existing in riparian forests of central Spain. Our approach will allow for a better understanding of the susceptibility to invasion of riparian forests, which are increasingly threatened. To determine differential strategies, we will measure key functional traits related to growth and water use. These traits include the rate of increase in basal area increment, resilience or ability to recover growth after drought events, water use efficiency, and water uptake capacity at different soil depths. Using dendroecology and isotopic analyses, we will be able to study the long-term behavior of invasive trees (Ailanthus altissima and Robinia pseudoacacia) and predict their invasive potential in a context of global change. If we can understand what functional characteristics of trees allow these species to be more successful, we could predict potential risks and propose measures to protect ecosystems from invasions by these and other exotic trees.

Period: 2020

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Principal Investigator: Elena Granda

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Co-PI and collaborators:  Pilar Castro-Díez, Álvaro Alonso,  Víctor Resco de Dios

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Funding: Consolidación de Grupos UAH

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EXARBIN- Determinantes del éxito de árboles exóticos en distintas etapas de del proceso de invasión-

One of the main questions that has driven the research on biological invasions is what are the traits that confer some non-native species their ability to invade new ecosystems. This question should be solved by analyzing the different stages of the invasion process: introduction, naturalization, invasion and impact. This information is useful to improve risk analyses and to avoid the introduction of new species able to cause ecological and socio-economic problems. For each invasion stage, we will explore the interaction between the traits of non-native trees and the ecosystem properties at different spatial scales, using exhaustive and highly representative databases (at regional, biome and global scales).


The project focuses on non-native trees because of their ecological, economic and social interest; because of the wide variability of invasion the success and of ecological impacts that they cause, and because the great amount of available -but dispersed- information. In the case of the introduction stage, we will identify which traits have promoted the selection of non-native trees for ornamental use in the main urban parks of Spain. In the case of the naturalization stage, we will rely on a database with the established non-native trees in different areas of the mediterranean biome. For the invasion stage, we will analyze the relative importance of different drivers of the nonnative tree expansion in Spain (species invasion risk, environmental and anthropic factors). Finally, for the impact stage, we will assess the determinants of the impacts at global scale relying on a previous meta-analysis on the effects of non-native trees on ecosystem services; and at local scale, we will quantify how non-native trees alter the functional structure of riparian forest of the Jarama watershed.

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Given the biogeographic amplitude of these databases, we will explore whether there are spatial differences in invasive species traits that can be explained by environmental, geographic and socio-economic factors. The scientific-technical implications of this project are that it will provide information on: (1) which ornamental trees planted in urban parks possess the highest invasion potential; (2) which are the most frequent traits in the naturalized trees in Mediterranean areas; (3) which anthropogenic and environmental factors determine the spread of the invasive trees in Spain; (4) which non-native tree traits influence their effect on ecosystem services, and (5) how non-native trees alter the functional structure of riparian trees. Doubtless, EXARBIN will compile the most comprehensive database of functional traits and impacts of introduced, naturalized and invasive non-native trees so far. This information will be useful to avoid conflicts between the introduction of exotic trees to fulfill our needs, and the environmental and social problems that they can generate, both in urban and natural areas.

Period: 2019-2021

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Principal Investigator: Dr. Pilar Castro

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Co-PI and collaborators: Montse Vila, Álvaro Alonso, Paloma de las Heras, Asunción Saldaña, Elena Granda.

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Funding: Ministry of Science, Innovation and Universities, Spanish Government

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PHOTOCHAIN: -Do evolutionary constraints on PHOTOperiod and Circadian clocks Hinder AdaptatIoN and acclimation of plants to climate change?-

Period: 2018-2021

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Principal Investigator: Dr. Arthur Gessler

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Co-PI and collaborators: N Zimmermann (co-PI), V. Resco de Dios (co-PI); E.Granda; F. Baumgarten

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Funding: Velux Stiftung

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Global climate change is affecting the area of distribution of plant species resulting in migration to higher altitudes and latitudes. However, plants are also bound to daylight rhythmicity, both on a diel and seasonal scale, and this might hamper species distribution under, and fast acclimation to, rapid environmental change. It may thus happen that the potential distribution range of a species, defined by temperature and precipitation, moves north due to climate change, but that the photoperiod cues at this new latitude do not match the evolutionary demands of that species. With this project, we will provide the mechanistic basis and a conceptual framework to understand how climatic and daylight/photoperiod cues jointly affects tree functioning.

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https://photochained.github.io

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