120 likes | 140 Views
Dive into the insights from the CarboEurope Project workshop focusing on grassland and cropland management dynamics across different scales. Explore uncertainties in CO2 exchange estimates and how to improve spatial aggregation, land cover merging, phenology, and seasonality data association. This workshop delves into ecosystem properties, land use, and phenological signals in grasslands and croplands across Europe, aiming to reduce modeling uncertainties. Discover the key discussions and recommendations to enhance ecosystem modeling tools for better representation and formulation.
E N D
Modelling the Management and Dynamics of Grass- and Croplands Across Scales A Workshop of the CarboEurope Project, May 17-19, 2006 Jean-François Soussana Pete Smith John Tenhunen Grassland Ecosystems Agricultural Ecosystems Integration Component Uncertainties in European CO2 Exchange Estimates: 1. Spatial Aggregation of Ecosystem Properties 2. Merging of Land Cover and Land Use (Near Natural versus Managed) 3. Phenology and Seasonality
General Data Association in PIXGRO
Summer Crop Winter Crop Mowed Grassland Combined Crops Root Crop Maize C4 Near-Natural Ecosystems 2 Types for Short-statured Vegetation 3 Types for Open Woody Vegetation 8 Types for Closed Forest Final Europe Level Exchange Managed Ecosystems PIXGROfine Landuse Categories
12 Summer Crop Winter Crop Combined Crops 8 4 0 0 120 240 360 120 240 360 Root Crop Maize C4 Average PIXGROfine Response Across Europe 2002 2003 GPP, g m-2 d-1 Mix according to cover and management Final numbers
Regional cultivation Cereals Maize Olives Source: based on Eurostat 2005, 2006
JRC Country Map plus
Net C storage (NBP) vs. total herbage use by cutting and grazing Crops and Grasslands are the Sensitive Part of the System (Soussana et al., submitted)
BGC Model internal phenology (White et al. 1997) Variable phenological signals between the years Two types of grasslands Cool and warm Differ in their onset and offset temperature thresholds Grass onset f(T,Precip): Strongly controlled by temperature Longterm Taverage Longterm annual Precipaverage Grass offset f(T,Precip): Strongly controlled by precipitation month before and temperature threshold Phenology, e.g, springtime greenup, is estimated according to Zhang et al. 2004 considering chilling time and heat sums. Phenology Nov. 1 Threshold TDD Heat sum Cd
Conclusion: To reduce uncertainties, existing modelling tools require better formulation and representations for: 1. Spatial Aggregation of Ecosystem Properties 2. Merging of Land Cover and Land Use (Near Natural versus Managed) 3. Phenology and Seasonality This requires: 1) an organized exchange of information (Crops and Grasslands Workshop II), 2) a concerted effort to prepare supporting data, and 3) evolution of our current ecosystem modelling tools.