LandMod2010

Original title
LandMod 2010: International Conference on Integrative Landscape Modelling
Original abstract
The 2010 international conference on integrative landscape modelling gathered around 100 leading scientists in each of the main disciplines dealing with ecosystems and landscape simulation and management, complex dynamic modelling and assessment of vulnerability, resilience and adaptation of agro- and eco-systems under human influence. The main objectives of the conference were: To discuss the objectives, priorities and expectations when modelling the functioning of landscapes; To share experience about landscape modelling and to identify major existing conceptual and technological gaps; To release a state of the art' about landscape modelling and simulation; To start building an international network on integrative ecosystems and landscape modelling. The landscape: a complex system The landscape is a result of complex interactions between biophysical and ecological processes (the environment' sub-system) and human activities (the human' sub-system). These two sub-systems are closely inter-dependent: land use and management, driven by socio-economic and environmental factors, lead to changes in the functioning of ecosystem processes, which in turn influence human decisions. The study of landscapes implies researches in many different disciplines like soil sciences, hydrology, agronomy, ecology, social sciences, economy As such, in order to gain a better understanding of landscape functioning, it is necessary to integrate of the various components of the system and their dynamic interactions through modelling approaches. To do so, researchers from each of the disciplines involved not only need to work together, but also with scientists in the domain of mathematics and computing. The landscape is a relevant scale of study both for a better understanding of the impacts of global changes and as a unit of dialogue among local stakeholders for decision making about land use planning in order to optimise environmental services in a sustainable way. For these reasons, there is definitely a great need for scientific-based, user-friendly, game-like platforms for integrative landscape modelling, enabling either scientists or multiple stakeholders to test their landscape design and management ideas in the light of economical, ecological and environmental constraints. The development of such platforms needs to integrate knowledge from different disciplines in order to provide effective solutions for real-world problems. The dynamic of landscape research in Montpellier Montpellier in France is at the heart of a thematic research network on agronomic research and sustainable development in the South and the Mediterranean region, supported by several research institutions including INRA, IRD, Montpellier SupAgro and Cirad. Within this research network, several teams have developed, each with a specific scientific focus, its own model or platform for simulating some components of the landscape structure and functioning. Recently, these teams have obtained financial support from Agropolis Foundation in order to think about how to integrate their knowledge and link their models and platforms in a general conceptual and modelling framework, enabling to address the main biological, physical, geographical and socio-economical interactions impacting ecosystems and landscape functioning and management. This phase constitutes a first step for all partners to share their background experience in their own discipline (ecology, agronomy, hydrology, socio-economy) and further try to define a roadmap for building an integrative modelling platform at the landscape level (for more information, see the website http://www.umr-lisah.fr/rtra-projects/). In order to enlarge their views and build an international state of the art about integrative landscape modelling, software modelling and simulation platforms applied to landscape dynamics, this research network launches the 2010 International Conference on Integrative Landscape Modelling, in February 2010 in Montpellier.

Translated title

LandMod 2010 : Conférence internationale sur la modélisation intégrée des paysages
ISBN
978-2-7592-0859-3
Organiser
LANDMOD2010
Organization committee
Jean-Christophe Fabre(1) ; Marc Jaeger(2) ; Xavier Louchart(1) ; Jean-Pierre Muller(2)
Organization committee affiliation
(1) INRA (France) ; (2) CIRAD (France)
Scientific committee
Philippe Ackerer(1) ; Richard Aspinall(2) ; Daniel Auclair(3) ; Olivier Barreteau(4) ; Lluís Brotons(5) ; Yves Brunet(3) ; Raphael Duboz(6) ; Christine Furst(7) ; Cédric Gaucherel(3) ; Volker Grimm(8) ; Sandra Luque(4) ; Dawn Parker(9) ; Tom A. Veldkamp(10) ; Peter Verburg(11) ; Marc Voltz(3)
Scientific committee affiliation
(1) University of Strasbourg (France) ; (2) Macaulay Institute (UK) ; (3) INRA (France) ; (4) CEMAGREF (France) ; (5) Technological Forestry Centre of Catalonia (Spain) ; (6) CIRAD (France) ; (7) Dresden University of Technology (Germany) ; (8) Helmholtz Center for Environmental Research (Germany) ; (9) University of Waterloo (Canada) ; (10) International Institute for Geo-Information Science and Earth Observation (NL) ; (11) University of Amsterdam (NL)
Publisher
éditions Quæ
Date
3/2/2010 au 5/2/2010
Location
Montpellier, France


Communications

Introduction
- [1] Forest and natural ecosystem managers in the landscape multiscale modelling, challenges and opportunities ; Auclair, D. ; INRA Montpellier ; 12 p. (pdf)

1. Methodology and modelling tools and platforms
- [2] Land surface phenology as an integrative diagnostic for landscape modelling ; Henebry, G.M. ; South Dakota State University ; 9 p. (pdf)
- [3] Time-Space Dependencies in Land-Use Successions at the scale of an Agricultural Landscape ; Lazrak, E.G.(1) ; Benoît, M.(1) ; Mari, J.F.(2) ; (1) INRA ; (2) UMR CNRS 7503 / INRIA ; ; 8 p. (pdf)
- [4] Toward the simulation of the Amazon-influenced mangrove-fringed coasts dynamics using Ocelet ; Proisy, C.(1) ; Blanchard, E.(1) ; Ait Lahcen, A.(2) ; Degenne, P.(3) ; Lo Seen, D.(3) ; ; (1) IRD, UMR AMAP, TA A51 PS2 ; (2) INRIA / Mohammed V University-Agdal ; (3) CIRAD, UMR TETIS, TA C-91/MTD ; 8 p. (pdf)
- [5] Neutral modelling of agricultural landscapes by tessellation methods: the GenExP-LandSiTes software - Application to the simulation of gene flow ; Le Ber, F.(1,3) ; Lavigne, C.(2) ; Adamczyk, K.(2) ; Angevin, F.(2) ; Colbach, N.(2) ; Mari, J.-F.(3) ; Monod, H.(2) ; (1) UMR 7517 LHyGeS / ENGEES ; (2) INRA ; (3) UMR 7503 LORIA ; 9 p. (pdf)
- [6] Semi-virtual spatial simulations of land management practices in Languedoc Vineyards: a way to deal with incomplete knowledges of spatial distributions in cultivated landscapes ; Bailly, J.-S.(1,4) ; Biarnès, A.(2) ; Lagacherie, P.(3) ; (1) AgroParisTech, UMR LISAH ; (2) IRD, UMR LISAH ; (3) INRA, UMR LISAH ; (4) AgroParisTech, UMR TETIS ; 9 p. (pdf)
- [7] OpenFLUID : a software environment for modelling fluxes in landscapes ; Fabre, J.-C.(1) ; Louchart, X.(1) ; Colin, F.(3) ; Dagès, C.(1) ; Moussa, R.(1) ; Rabotin, M.(1) ; Raclot, D. 2) ; Lagacherie, P.(1) ; Voltz, M.(1) ; (1) INRA, UMR LISAH ; (2) IRD, UMR LISAH ; (3) SupAgro, UMR LISAH ; 13 p. (pdf)
- [8] Integrated land use modelling in an interdisciplinary project: The LUCIA model ; Marohn, C.(1) ; Siripalangkanont, P.(1) ; Berger, T.(1) ; Lusiana, B.(2) ; Cadisch, G.(1) ; (1) University of Hohenheim ; (2) World Agroforestry Centre, Bogor, Indonesia ; 8 p. (pdf)
- [9] VR Web based tree and vegetation representations for environmental applications and studies, an example on ChongMing Island ; Jaeger, M.(1,4) ; Jia, J.Y.(2) ; Zhang, X.(3) ; Griffon, S.(1) ; (1) CIRAD-AMAP ; (2) Tongji University, Shanghai ; (3) LIAMA-NLPR, Institute of Automation, China ; (4) EPI Digiplante, joint INRIA Saclay / École Centrale de Paris / CIRAD ; 8 p. (pdf)
- [10] Chances and limits of using landscape metrics within the interactive planning tool Pimp Your Landscape ; Frank, S. ; Fürst, C. ; Lorz, C. ; Koschke, L. ; Abiy, M. ; Makeschin, F. ; Dresden University of Technology ; 13 p. (pdf)
- [11] Spatial links specifications in the APILand simulation approach: an application to the coupling of a farm model and a carabid population model ; Boussard, H. ; Martel, G. ; Vasseur, C. ; INRA SAD-PAYSAGE ; 11 p. (pdf)

2. Modelling the biophysical components of landscapes
- [12] Distributed hydrological modelling of farmed catchments (MHYDAS) : assessing the impact of man-made structures on hydrological processes ; Moussa, R.(1) ; Colin, F.(2) ; Dagès, C.(1) ; Fabre, J.-C.(1) ; Lagacherie, P.(1) ; Louchart, X.(1) ; Rabotin, M.(1) ; Raclot, D.(2) ; Voltz, M.(1) ; (1) INRA, UMR LISAH ; (2) SupAgro, UMR LISAH ; (3) IRD, UMR LISAH ; 14 p. (pdf)
- [13] A planning support tool for sediment management a case study from central Brazil ; Lorz, C.(1) ; Bakker, F.(2) ; Fürst, C.(1) ; Goldbach, A.(1) ; Roig, L.H.(3) ; Makeschin, F.(1) ; (1) Dresden University of Technology ; (2) Companhia de Saneamento Ambiental do Distrito Federal ; (3) Universidade de Brasilia ; 11 p. (pdf)
- [14] Landscape level carbon and water balances and agricultural production in mountainous terrain of the Haean Basin, South Korea ; Lee, B.(1) ; Tenhunen, J.(1) ; Geyer, R.(1) ; Seo, B.(1) ; Li, Y.(2) ; Kang, S.(3) ; (1) University of Bayreuth ; (2) South China Botanical Garden ; (3) Kangwon National University ; 12 p. (pdf)
- [15] Towards landscape ecological modelling of marine reserves ; Lett, C.(1) ; Kaplan, D.M.(2) ; (1) UMI IRD 209 / UPMC UMMISCO ; (2) UMR 212 EME IRD / Centre de recherche halieutique méditerranéenne et tropicale ; 6 p. (pdf)
- [16] A multidisciplinary modelling approach to analyse and predict the effects of landscape dynamics on biodiversity ; Gaucherel, C.(1) ; Martinet, V.(2) ; Bamière, L.(2) ; Sheeren, D.(3) ; Gibon, A.(3) ; Joannon, A.(4) ; Castellazzi, M.S.(4) ; Boussard, H.(4) ; Barraquand, F.(5) ; Inchausti, P.(5) ; Lazrak, E.G.(6) ; Mari, J.-F.(6) ; Schaller, N.(7) ; Houet, T.(8) ; Bretagnolle, V.(5) ; (1) INRA, UMR AMAP ; (2) INRA, UMR 210 Économie publique ; (3) INRA UMR 1201 DYNAFOR ; (4) INRA SAD-Paysage ; (5) CNRS CEBC UPR 1934 ; (6) INRA LORIA ; (7) INRA UMR Sad-Apt ; (8) CNRS UMR 5602 ; 10 p. (pdf)
- [17] Connectivity and landscape patterns in human dominated landscape: a case study with the common frog Rana temporaria ; Decout, S.(1) ; Manel, S.(2) ; Miaud, C.(2) ; Luque, S.(1) ; (1) Cemagref ; (2) Laboratoire d'écologie alpine ; 13 p. (pdf)
- [18] Computational modeling for forest dynamics with Markov model individual-centered ; Khadraoui, K. ; INRA, UMR Analyse des systèmes et biométrie ; 7 p. (pdf)
- [19] Spatial and temporal variability of the carbon budget of tropical eucalyptus plantations assessed using ecosystem modelling and remote-sensing ; Le Maire, G.(1,2) ; Marsden, C.(1) ; Laclau, J.-P.(1) ; Stape, J.-L.(3) ; Corbeels, M.(4) ; Nouvellon, Y.(1) ; 8 p. (pdf)
- [20] Effect of Canopy Architecture on Carbon and Water Fluxes: A Numerical Experiment ; Govind, A. ; Guyon, D. ; Wigneron, J.-P. ; INRA, EPHYSE ; 7 p. (pdf)
- [21] Modelling landscape variation in species richness: a hierarchical approach ; Henry, M.(1) ; Cosson, J.-F.(2) ; Pons, J.-M.(3) ; (1) INRA / UAPV ; (2) INRA, CBGP ; (3) MNHN, UMR 5202 ; 14 p. (pdf)
- [22] Optimizing the landscape patterning of fuel treatment of road corridors to reduce fire hazard ; Curt, T.(1) ; Delcros, P.(2) ; (1) Cemagref, UR EMAX ; (2) Cemagref, UR EMGR ; 7 p. (pdf)
- [23] A bottom-up approach of landscape simulation leading to a generic synchronisation formalism and competition model ; Le Chevalier, V.(1) ; Jaeger, M.(2) ; (1) École centrale de Paris MAS, INRIA, EPI Digiplante ; (2) CIRAD AMAP, INRIA, EPI Digiplante ; 6 p. (pdf)

3. Integrated socio-environmental modelling
- [24] Pimp your landscape a cellular automaton approach to estimate the effects of land use pattern changes on environmental services ; Fürst, C.(1) ; Lorz, C.(1) ; Pietzsch, K.(2) ; Koschke, L.(1) ; Frank, S.(1) ; Makeschin, F.(1) ; (1) Dresden University of Technology ; (2) PiSolution GmbH ; 18 p. (pdf)
- [25] Modelling the influence of land use and land cover change on landscape functions ; Verburg, P.H. ; van Berkel, D. ; Valbuena, D ; Willemen, L. ; VU University Amsterdam ; 6 p. (pdf)
- [26] Linking thoughts to flows - Fuzzy cognitive mapping as tool for integrated landscape modeling ; Wildenberg, M.(1,2) ; Bachhofer, M.(2) ; Adamescu, M.(2) ; De Blust, G.(3) ; Diaz-Delgadod, R.(4) ; Isak, K.G.Q.(5) ; Skov F.(5) ; Riku, V.(6) ; (1) Institute of Social Ecology ; (2) International network for fuzzy cognitive mapping ; (3) University of Bucharest ; (4) Research Institute for Nature and Forest ; (5) Estación Biológica Doñana-CSIC ; (6) Aarhus University ; 15 p. (pdf)
- [27] Spatial Projections of Participatory System Dynamics Modeling Outcomes: Exploring Oil Palm and REDD consequences for Local Livelihoods in Papua, Indonesia ; Sandker, M.(1,2) ; Puntodewo, A.(2) ; Sitorus, F.(3) ; Purnomo, H.(2) ; Yumte, Y.(3) ; Ruiz-Pérez, M.(1) ; Campbell B.M.(2,4) ; (1) UAM ; (2) CIFOR ; (3) IUCN ; (4) CGIAR, CCAFS ; 15 p. (pdf)
- [28] Socio-economic assessment of farmers' vulnerability as water users subject to global change stressors in the hard rock area of southern India. The SHIVA ANR project ; Aulong, S.(1) ; Borne, F.(3) ; Caballero, Y.(1) ; Chaudhuri, B.(4) ; Dazin, F.(5) ; Dewandel, B.(1) ; Dinis, L.(2) ; Galab, S.(6) ; Guerrin, J.(2) ; Himanshu (4) ; Ladouche, B.(1) ; Maire, E.(7,8) ; Maréchal, J.-C.(1,8) ; Muthusankar, G.(3) ; Perrin, J.(1,2) ; Prudhvikar Reddy, P.(6) ; Ramesh, B.R.(3) ; Sannier, C.(5) ; Sekhar, M.(8,9) ; Shakeel, A.(2,10) ; Vigaud, N.(1) ; (1) BRGM-EAU/RMD ; (2) IFCGR ; (3) IFP ; (4) CSH ; (5) SIRS ; (6) CESS ; (7) Toulouse University ; (8) IFCWS ; (9) IISc ; (10) NGRI-IFCGR ; 13 p. (pdf)
- [29] Agri-environmental policies when the spatial pattern of biodiversity reserves matters ; Bamière, L. ; David, M. ; Jacquet, F. ; UMR INRA-AgroParisTech d'économie publique ; 17 p. (pdf)
- [30] Trade-off analysis of land use change, livelihoods and environmental services in the Upper Konto catchment (Indonesia): prospecting land use options with the FALLOW model ; Lusiana, B.(1) ; Khususiyah, N.(2) ; Hairiah, K.(3) ; van Noordwijk, M.(2) ; Cadisch, G.(4) ; (1) University of Hohenheim ; (2) ICRAF - CIFOR ; (3) Brawijaya University ; (4) University of Hohenheim ; 12 p. (pdf)
- [31] An Integrated Stock-flow and Agent-based Model for Simulating Land Use and Environmental Change in Peri-urban Area ; Wang, S.-H. ; Huang, S.-L. ; National Taipei University ; 18 p. (pdf)
- [32] Developing a nested-scale landscape modelling framework for ecosystem services assessment ; Castellazzi, M.S.(1) ; Joannon, A.(2) ; Brown, I.(1) ; Gimona, A.(1) ; Poggio, L.(1) ; (1) Macaulay Land Use Research Institute ; (2) INRA, UR 980 SAD Paysage ; 9 p. (pdf)
- [33] A South Korean case study of social-ecologically-based management of ecosystem services: Global change impacts on agricultural production versus water quality in mountain landscapes ; Tenhunen, J.(1) ; Members of the TERRECO Project(2) ; (1) University of Bayreuth ; (2) www.bayceer.uni-bayreuth.de/terreco ; 16 p. (pdf)
- [34] Trade-offs between livelihoods and wetland ecosystem services: an integrated dynamic model of Ga-Mampa wetland, South Africa ; Morardet, S.(1) ; Masiyandima, M.(2) ; Jogo, W.(3) ; Juizo, D.(4) ; (1) Cemagref UMR G-EAU ; (2) International Water Management Institute, Southern Africa office ; (3) University of Pretoria ; (4) Universidade Eduardo Mondhlane ; 19 p. (pdf)
- [35] Integrative simulation of agricultural and landscape changes ; Marty, P.(1,2) ; Le Bars, M.(3) ; Lepart, J.(1) ; Hadjem, N.(4) ; Attonaty, J.-M.(5) ; (1) CNRS ; (2) USR 3138 CNRS-MAEE ; (3) IRD, UMR G-eau ; (4) UMR CIHEAM-IAM G-eau ; (5) INRA ; 8 p. (pdf)
- [36] Optimization of rural land health: integrating multiple functions ; Meyer, B.(1) ; Grabaum, R.(2) ; Watson, D.(3) ; Adams, D.(3) ; Hood, A.(3) ; Phillips, A.(3) ; (1) Dortmund University of Technology ; (2) Olanis GmbH ; (3) Department of Sustainability and Environment ; 6 p. (pdf)
- [37] The development of a conceptual framework to assess multifunctional landscapes and the impact of land use changes on land use functions with Pimp Your Landscape ; Koschke, L. ; Fürst, C. ; Lorz, C. ; Frank, S. ; Makeschin, F. ; Dresden University of Technology ; 8 p. (pdf)