How can we bring together empiricists and modellers in functional biodiversity research

Improving our understanding of biodiversity and ecosystem functioning and our capacity to inform ecosystem management requires an integrated framework for functional biodiversity research (FBR). However, adequate integration among empirical approaches (monitoring and experimental) and modelling has rarely been achieved in FBR. We offer an appraisal of the issues involved and chart a course towards enhanced integration. A major element of this path is the joint orientation towards the continuous refinement of a theoretical framework for FBR that links theory testing and generalization with applied research oriented towards the conservation of biodiversity and ecosystem functioning. We further emphasize existing decision-making frameworks as suitable instruments to practically merge these different aims of FBR and bring them into application. This integrated framework requires joint research planning, and should improve communication and stimulate collaboration between modellers and empiricists, thereby overcoming existing reservations and prejudices. The implementation of this integrative research agenda for FBR requires an adaptation in most national and international funding schemes in order to accommodate such joint teams and their more complex structures and data needs.

[1]  Sandra Díaz,et al.  Towards an assessment of multiple ecosystem processes and services via functional traits , 2010, Biodiversity and Conservation.

[2]  Florian Jeltsch,et al.  Ecological buffering mechanisms in savannas: A unifying theory of long-term tree-grass coexistence , 2000, Plant Ecology.

[3]  K Shea,et al.  Management of populations in conservation, harvesting and control. , 1998, Trends in ecology & evolution.

[4]  Richard M Cowling,et al.  Conservation planning in a changing world. , 2007, Trends in ecology & evolution.

[5]  Boris Schröder,et al.  How to understand species’ niches and range dynamics: a demographic research agenda for biogeography , 2012 .

[6]  Uta Berger,et al.  Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology , 2005, Science.

[7]  Simon Ferrier,et al.  Extracting More Value from Biodiversity Change Observations through Integrated Modeling , 2011 .

[8]  Brendan A. Wintle,et al.  Ecological-economic optimization of biodiversity conservation under climate change , 2011 .

[9]  Monica G. Turner,et al.  Filling key gaps in population and community ecology , 2007 .

[10]  Martin Daufresne,et al.  A user's guide to functional diversity indices , 2010 .

[11]  J. Gareth Polhill,et al.  The ODD protocol: A review and first update , 2010, Ecological Modelling.

[12]  Helmut Hillebrand,et al.  Biodiversity in a complex world: consolidation and progress in functional biodiversity research. , 2009, Ecology letters.

[13]  Volker Grimm,et al.  Ecological models supporting environmental decision making: a strategy for the future. , 2010, Trends in ecology & evolution.

[14]  Jordi Vayreda,et al.  Species richness and wood production: a positive association in Mediterranean forests. , 2007, Ecology letters.

[15]  David B. Lindenmayer,et al.  Framework to improve the application of theory in ecology and conservation , 2012 .

[16]  T. Fukami,et al.  Linking community and ecosystem dynamics through spatial ecology. , 2011, Ecology letters.

[17]  William G. Lee,et al.  Functional richness, functional evenness and functional divergence: the primary components of functional diversity , 2005 .

[18]  G. Mace,et al.  Beyond Predictions: Biodiversity Conservation in a Changing Climate , 2011, Science.

[19]  S. Carpenter,et al.  Decision-making under great uncertainty: environmental management in an era of global change. , 2011, Trends in ecology & evolution.

[20]  Otso Ovaskainen,et al.  The metapopulation capacity of a fragmented landscape , 2000, Nature.

[21]  S. Pickett,et al.  Ecological Understanding: The Nature of Theory and the Theory of Nature , 1994 .

[22]  Christian Körner,et al.  The Grand Challenges in Functional Plant Ecology , 2011, Front. Plant Sci..

[23]  Anne Larigauderie,et al.  The Biodiversity and Ecosystem Services Science-Policy Interface , 2011, Science.

[24]  Jennifer A Hoeting,et al.  A structured and dynamic framework to advance traits-based theory and prediction in ecology. , 2010, Ecology letters.

[25]  P. Keddy,et al.  Putting the plants back into plant ecology: six pragmatic models for understanding and conserving plant diversity. , 2005, Annals of botany.

[26]  Florian Jeltsch,et al.  Reversed effects of grazing on plant diversity: the role of below- ground competition and size symmetry , 2009 .

[27]  C. S. Holling.  Resilience and Stability of Ecological Systems , 1973 .

[28]  Wolf M. Mooij,et al.  The power of simulating experiments , 2009 .

[29]  J. Drake,et al.  Early warning signals of extinction in deteriorating environments , 2010, Nature.

[30]  Florian Jeltsch,et al.  Sensitivity of plant functional types to climate change: classification tree analysis of a simulation model , 2010 .

[31]  C. Dormann,et al.  Static species distribution models in dynamically changing systems: how good can predictions really be? , 2009 .

[32]  Monika Schwager,et al.  The state of plant population modelling in light of environmental change , 2008 .

[33]  Damaris Zurell,et al.  The virtual ecologist approach: simulating data and observers , 2010 .

[34]  Kirk A. Moloney,et al.  Consequences of correlations between habitat modifications and negative impact of climate change for regional species survival , 2011 .

[35]  R. Holt,et al.  Meta‐ecosystems: a theoretical framework for a spatial ecosystem ecology , 2003 .

[36]  Wilfried Thuiller,et al.  Spatial mismatch and congruence between taxonomic, phylogenetic and functional diversity: the need for integrative conservation strategies in a changing world. , 2010, Ecology letters.

[37]  B. Enquist,et al.  Rebuilding community ecology from functional traits. , 2006, Trends in ecology & evolution.

[38]  David B. Lindenmayer,et al.  The science and application of ecological monitoring , 2010 .

[39]  P. Reich,et al.  Impacts of Biodiversity Loss Escalate Through Time as Redundancy Fades , 2012, Science.

[40]  Wilfried Thuiller,et al.  Plant-trait-based modeling assessment of ecosystem-service sensitivity to land-use change. , 2007, Ecological applications : a publication of the Ecological Society of America.

[41]  Stephen H. Roxburgh,et al.  How frequency and intensity shape diversity–disturbance relationships , 2011, Proceedings of the National Academy of Sciences.

[42]  James S. Clark,et al.  A future for models and data in environmental science. , 2006, Trends in ecology & evolution.

[43]  R. Levins.  Some Demographic and Genetic Consequences of Environmental Heterogeneity for Biological Control , 1969 .

[44]  M. Loreau.  Linking biodiversity and ecosystems: towards a unifying ecological theory , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[45]  M. Gilpin,et al.  Metapopulation Biology: Ecology, Genetics, and Evolution , 1997 .

[46]  Craig R. Allen,et al.  Foundations of ecological resilience , 2010 .

[47]  J. Lamarque,et al.  Global Biodiversity: Indicators of Recent Declines , 2010, Science.

[48]  Pankaj Agarwal,et al.  Inferential ecosystem models, from network data to prediction. , 2011, Ecological applications : a publication of the Ecological Society of America.

[49]  M. Cadotte,et al.  Metacommunity influences on community richness at multiple spatial scales: a microcosm experiment. , 2006, Ecology.