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Dive into the research topics where Martin T. Sykes is active.

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Featured researches published by Martin T. Sykes.


Science | 2005

Ecosystem service supply and vulnerability to global change in Europe

Dagmar Schröter; Wolfgang Cramer; Rik Leemans; I. Colin Prentice; Miguel B. Araújo; Nigel W. Arnell; Alberte Bondeau; Harald Bugmann; Timothy R. Carter; Carlos Gracia; Anne C. de la Vega-Leinert; Markus Erhard; Frank Ewert; Margaret J. Glendining; Joanna Isobel House; Susanna Kankaanpää; Richard J.T. Klein; Sandra Lavorel; Marcus Lindner; Marc J. Metzger; Jeannette Meyer; Timothy D. Mitchell; Isabelle Reginster; Mark Rounsevell; Santi Sabaté; Stephen Sitch; Ben Smith; Jo Smith; Pete Smith; Martin T. Sykes

Global change will alter the supply of ecosystem services that are vital for human well-being. To investigate ecosystem service supply during the 21st century, we used a range of ecosystem models and scenarios of climate and land-use change to conduct a Europe-wide assessment. Large changes in climate and land use typically resulted in large changes in ecosystem service supply. Some of these trends may be positive (for example, increases in forest area and productivity) or offer opportunities (for example, “surplus land” for agricultural extensification and bioenergy production). However, many changes increase vulnerability as a result of a decreasing supply of ecosystem services (for example, declining soil fertility, declining water availability, increasing risk of forest fires), especially in the Mediterranean and mountain regions.


Progress in Physical Geography | 2006

Methods and uncertainties in bioclimatic envelope modelling under climate change

Risto K. Heikkinen; Miska Luoto; Miguel B. Araújo; Raimo Virkkala; Wilfried Thuiller; Martin T. Sykes

Potential impacts of projected climate change on biodiversity are often assessed using single-species bioclimatic ‘envelope’models. Such models are a special case of species distribution models in which the current geographical distribution of species is related to climatic variables so to enable projections of distributions under future climate change scenarios. This work reviews a number of critical methodological issues that may lead to uncertainty in predictions from bioclimatic modelling. Particular attention is paid to recent developments of bioclimatic modelling that address some of these issues as well as to the topics where more progress needs to be made. Developing and applying bioclimatic models in a informative way requires good understanding of a wide range of methodologies, including the choice of modelling technique, model validation, collinearity, autocorrelation, biased sampling of explanatory variables, scaling and impacts of non-climatic factors. A key challenge for future research is integrating factors such as land cover, direct CO2 effects, biotic interactions and dispersal mechanisms into species-climate models. We conclude that, although bioclimatic envelope models have a number of important advantages, they need to be applied only when users of models have a thorough understanding of their limitations and uncertainties.


Ecological Modelling | 1993

A simulation model for the transient effects of climate change on forest landscapes

I. Colin Prentice; Martin T. Sykes; Wolfgang Cramer

Prentice, I.C., Sykes, M.T. and Cramer, W., 1993. A simulation model for the transient effects of climate change on forest landscapes. Ecol. Modelling, 65: 51-70. Forests are likely to show complex transient responses to rapid changes in climate. The model described here simulates the dynamics of forest landscapes in a changing environment with simple phenomenological equations for tree growth processes and local environmental feedbacks. Tree establishment and growth rates are modified by species-specific functions describing the effects of winter and summer temperature limitations, accumulated annual foliage net assimilation and sapwood respiration as functions of temperature, CO 2 fertilization, and growing-season drought. These functions provide external conditions for the simulation of patch-scale forest dynamics by a forest succession model, FORSKA, in which all of the trees on each 0.1 ha patch interact by competition for light and nutrients. The landscape is simulated as an array of such patches. The probability of disturbance on a patch is a power function of time since disturbance. Forest structure, composition and biomass simulated for the landscape average in boreal and temperate deciduous forests approach reasonable equilibrium values in 200-400 years. A climatic warning scenario is applied to central Sweden, where temperature and precipitation increases are shown to interact with each other and with soil water capacity in determining the transient and equilibrium responses of the forest landscape to climate change.


Journal of Vegetation Science | 1993

Small‐scale plant species turnover in a limestone grassland: the carousel model and some comments on the niche concept

Eddy van der Maarel; Martin T. Sykes

This study reports on small-scale changes in the distribution of plant species in a 2.5 m2 plot of grazed, species- rich Veronica spicata - Avenula pratensis grassland on shal- low, dry, nutrient-poor soil in the Great Alvar area (Stora Alvaret) of southern Oland, southeastern Sweden. Multivari- ate analysis of 0.001 m2 and 0.25 m2 quadrats within the plot showed that there is little floristic variation without any trend in the plot. Average species richness varied little throughout the study period from 1986 to 1991 with 1986 averages of 7.0 on 0.001m2, 16.3 on 0.01 m2, and 26.1 on 0.25 m2. On 0.001 m2 the highest species number found was 12, on 0.01 m2, 27. However, cumulative species richness, i.e. species number in the first year plus new species appearing in later years (aver- aged over 40 quadrats) increased over the same period, on 0.001 m2 from 7.0 in 1986 to 14.9 in 1991, and on 0.01 m2


Ecological Applications | 2000

Belowground consequences of vegetation change and their treatment in models

Robert B. Jackson; H.J. Schenk; Esteban G. Jobbágy; Josep G. Canadell; G. D. Colello; Robert E. Dickinson; Christopher B. Field; Pierre Friedlingstein; Martin Heimann; K. Hibbard; David W. Kicklighter; Axel Kleidon; Ronald P. Neilson; William J. Parton; Osvaldo E. Sala; Martin T. Sykes

The extent and consequences of global land-cover and land-use change are increasingly apparent. One consequence not so apparent is the altered structure of plants belowground. This paper examines such belowground changes, emphasizing the interaction of altered root distributions with other factors and their treatment in models. Shifts of woody and herbaceous vegetation with deforestation, afforestation, and woody plant en- croachment typically alter the depth and distribution of plant roots, influencing soil nutrients, the water balance, and net primary productivity (NPP). For example, our analysis of global soil data sets shows that the major plant nutrients C, N, P, and K are more shallowly distributed than are Ca, Mg, and Na, but patterns for each element vary with the dominant vegetation type. After controlling for climate, soil C and N are distributed more deeply in arid shrublands than in arid grasslands, and subhumid forests have shallower nutrient dis- tributions than do subhumid grasslands. Consequently, changes in vegetation may influence the distribution of soil carbon and nutrients over time (perhaps decades to centuries). Shifts in the water balance are typically much more rapid. Catchment studies indicate that the water yield decreases 25-40 mm for each 10% increase in tree cover, and increases in transpiration of water taken up by deep roots may account for as much as 50% of observed responses. Because models are increasingly important for predicting the consequences of vegetation change, we discuss the treatment of belowground processes and how different treatments affect model outputs. Whether models are parameterized by biome or plant life form (or neither), use single or multiple soil layers, or include N and water limitation will all affect predicted outcomes. Acknowledging and understanding such differences should help constrain predictions of vegetation change.


Biodiversity and Conservation | 2010

Functional traits as indicators of biodiversity response to land use changes across ecosystems and organisms.

Marie Vandewalle; Francesco de Bello; Matty P. Berg; Thomas Bolger; Sylvain Dolédec; Florence Dubs; Christian K. Feld; R. Harrington; Paula A. Harrison; Sandra Lavorel; Pedro Martins da Silva; Marco Moretti; Jari Niemelä; Paulo Santos; Thomas Sattler; J. Paulo Sousa; Martin T. Sykes; Adam J. Vanbergen; Ben A. Woodcock

Rigorous and widely applicable indicators of biodiversity are needed to monitor the responses of ecosystems to global change and design effective conservation schemes. Among the potential indicators of biodiversity, those based on the functional traits of species and communities are interesting because they can be generalized to similar habitats and can be assessed by relatively rapid field assessment across eco-regions. Functional traits, however, have as yet been rarely considered in current common monitoring schemes. Moreover, standardized procedures of trait measurement and analyses have almost exclusively been developed for plants but different approaches have been used for different groups of organisms. Here we review approaches using functional traits as biodiversity indicators focussing not on plants as usual but particularly on animal groups that are commonly considered in different biodiversity monitoring schemes (benthic invertebrates, collembolans, above ground insects and birds). Further, we introduce a new framework based on functional traits indices and illustrate it using case studies where the traits of these organisms can help monitoring the response of biodiversity to different land use change drivers. We propose and test standard procedures to integrate different components of functional traits into biodiversity monitoring schemes across trophic levels and disciplines. We suggest that the development of indicators using functional traits could complement, rather than replace, the existent biodiversity monitoring. In this way, the comparison of the effect of land use changes on biodiversity is facilitated and is expected to positively influence conservation management practices.


BioScience | 2009

Quantifying the Contribution of Organisms to the Provision of Ecosystem Services

Gary W. Luck; R. Harrington; Paula A. Harrison; Claire Kremen; Pam Berry; Rob Bugter; Terence P. Dawson; Francesco de Bello; Sandra Díaz; Christian K. Feld; John R. Haslett; Daniel Hering; Areti Kontogianni; Sandra Lavorel; Mark Rounsevell; Michael J. Samways; Leonard Sandin; Josef Settele; Martin T. Sykes; Sybille van den Hove; Marie Vandewalle; Martin Zobel

Research on ecosystem services has grown rapidly over the last decade. Two conceptual frameworks have been published to guide ecological assessments of organisms that deliver services—the concepts of service-providing units (SPUs) and ecosystem service providers (ESPs). Here, we unite these frameworks and present an SPU-ESP continuum that offers a coherent conceptual approach for synthesizing the latest developments in ecosystem service research, and can direct future studies at all levels of organization. In particular, we show how the service-provider concept can be applied at the population, functional group, and community levels. We strongly emphasize the need to identify and quantify the organisms and their characteristics (e.g., functional traits) that provide services, and to assess service provision relative to the demands of human beneficiaries. We use key examples from the literature to illustrate the new approach and to highlight gaps in knowledge, particularly in relation to the impact of species interactions and ecosystem dynamics on service provision.


Biological Reviews | 2010

Multiple stressors on biotic interactions: how climate change and alien species interact to affect pollination

Oliver Schweiger; Jacobus C. Biesmeijer; Riccardo Bommarco; Thomas Hickler; Philip E. Hulme; Stefan Klotz; Ingolf Kühn; Mari Moora; Anders Nielsen; Ralf Ohlemüller; Theodora Petanidou; Simon G. Potts; Petr Pyšek; Jane C. Stout; Martin T. Sykes; Thomas Tscheulin; Montserrat Vilà; Gian-Reto Walther; Catrin Westphal; Marten Winter; Martin Zobel; Josef Settele

Global change may substantially affect biodiversity and ecosystem functioning but little is known about its effects on essential biotic interactions. Since different environmental drivers rarely act in isolation it is important to consider interactive effects. Here, we focus on how two key drivers of anthropogenic environmental change, climate change and the introduction of alien species, affect plant–pollinator interactions. Based on a literature survey we identify climatically sensitive aspects of species interactions, assess potential effects of climate change on these mechanisms, and derive hypotheses that may form the basis of future research. We find that both climate change and alien species will ultimately lead to the creation of novel communities. In these communities certain interactions may no longer occur while there will also be potential for the emergence of new relationships. Alien species can both partly compensate for the often negative effects of climate change but also amplify them in some cases. Since potential positive effects are often restricted to generalist interactions among species, climate change and alien species in combination can result in significant threats to more specialist interactions involving native species.


Ecology Letters | 2015

A global meta‐analysis of the relative extent of intraspecific trait variation in plant communities

Andrew Siefert; Cyrille Violle; Loïc Chalmandrier; Cécile H. Albert; Adrien Taudiere; Alex Fajardo; Lonnie W. Aarssen; Christopher Baraloto; Marcos B. Carlucci; Marcus Vinicius Cianciaruso; Vinícius de L. Dantas; Francesco de Bello; Leandro da Silva Duarte; Carlos Fonseca; Grégoire T. Freschet; Stéphanie Gaucherand; Nicolas Gross; Kouki Hikosaka; Benjamin G. Jackson; Vincent Jung; Chiho Kamiyama; Masatoshi Katabuchi; Steven W. Kembel; Emilie Kichenin; Nathan J. B. Kraft; Anna Lagerström; Yoann Le Bagousse-Pinguet; Yuanzhi Li; Norman W. H. Mason; Julie Messier

Recent studies have shown that accounting for intraspecific trait variation (ITV) may better address major questions in community ecology. However, a general picture of the relative extent of ITV compared to interspecific trait variation in plant communities is still missing. Here, we conducted a meta-analysis of the relative extent of ITV within and among plant communities worldwide, using a data set encompassing 629 communities (plots) and 36 functional traits. Overall, ITV accounted for 25% of the total trait variation within communities and 32% of the total trait variation among communities on average. The relative extent of ITV tended to be greater for whole-plant (e.g. plant height) vs. organ-level traits and for leaf chemical (e.g. leaf N and P concentration) vs. leaf morphological (e.g. leaf area and thickness) traits. The relative amount of ITV decreased with increasing species richness and spatial extent, but did not vary with plant growth form or climate. These results highlight global patterns in the relative importance of ITV in plant communities, providing practical guidelines for when researchers should include ITV in trait-based community and ecosystem studies.


Terrestrial Ecosystems in a Changing World; pp 175-192 (2007) | 2007

Dynamic global vegetation modelling: quantifying terrestrial ecosystem responses to large-scale environmental change

I. Colin Prentice; Alberte Bondeau; Wolfgang Cramer; Sandy P. Harrison; Thomas Hickler; Wolfgang Lucht; Stephen Sitch; Ben Smith; Martin T. Sykes

DGVMs exploit the power of modern computers and computational methods to yield a predictive description of land ecosystem processes that takes account of knowledge previously developed through long histories of separate disciplinary approaches to the study of the biosphere. The degree of interaction between the different scientific approaches still falls far short of optimal; thus, DGVM developers have a responsibility to be aware of progress in several disciplines in order to ensure that their models remain state-of-the-art. We have presented a series of case studies of the evaluation of DGVMs that demonstrate the predictive capability that current models have achieved. Nevertheless, there are plenty of unresolved issues — differences among models that are not well understood, important processes that are omitted or treated simplistically by some or all models, and sets of observations that are not satisfactorily reproduced by current models. More comprehensive “benchmarking” of DGVMs against multiple data sets is required and would be most effectively carried out through an international consortium, so as to avoid duplicating the large amount of work involved in selecting and processing data sets and model experiments. We have also presented a series of case studies that illustrate the power of DGVMs, even with their known limitations, in explaining a remarkable variety of Earth System phenomena and in addressing contemporary issues related to climate and land-use change. These case studies encourage us to believe that the continued development of DGVMs is a worthwhile enterprise. Finally, new directions in Earth System Science point to a range of aspects in which DGVMs could be improved so as to take account of recently acquired knowledge, such as experimental work on whole-ecosystem responses to environmental modification and new understanding of the functional basis of plant traits; complemented by an effort to represent semi-natural and agricultural ecosystems and the impacts of different management practices on these ecosystems; and extended to include processes such as trace-gas emissions, which are important in order to understand the functional role of the terrestrial biosphere in the Earth System. Together, these potential developments add up to an ambitious research program, requiring the economies of scale that only an international collaborative effort can provide.

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Thomas Hickler

Goethe University Frankfurt

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Thomas Hickler

Goethe University Frankfurt

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Triin Reitalu

Tallinn University of Technology

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Josef Settele

Helmholtz Centre for Environmental Research - UFZ

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