Modellistica del ciclo del carbonio degli ecosistemi agro-forestali in regione Lombardia

Abstract: In this paper we present a methodology for the estimation of Gross Primary Production (GPP), Net Primary Production (NPP) and Net Ecosystem Production (NEP) for the main agricultural and forest ecosystems of the Lombardia Region (Italy). The MOD17 model was parameterized according to the different agro-forestry ecosystems and applied at regional scale by using satellite data with a spatial resolution of 250m. The high spatial resolution along with fine classification agro-forestry ecosystems has allowed to accurately analyze the carbon budget of an extremely fragmented and complex environment such as the Lombardia Region. Modeling results showed the role of the forests in the carbon budget at regional scale and represent important information layer for the spatial analysis and for inferring the inter-annual variability of carbon sequestration due to impacts of extreme events and recent climate change (e.g., drought, heat wave, flooding, fires).

[1]  Niklaus E. Zimmermann,et al.  Divergent vegetation growth responses to the 2003 heat wave in the Swiss Alps , 2005 .

[2]  M. Schelhaas,et al.  Carbon Accounting and Cost Estimation in Forestry Projects Using CO2Fix V.3 , 2006 .

[3]  L. Wald,et al.  The method Heliosat-2 for deriving shortwave solar radiation from satellite images , 2004 .

[4]  W. Cohen,et al.  Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation , 2003 .

[5]  J. Aber,et al.  Fine Roots, Net Primary Production, and Soil Nitrogen Availability: A New Hypothesis , 1985 .

[6]  K. Hibbard,et al.  A Global Terrestrial Monitoring Network Integrating Tower Fluxes, Flask Sampling, Ecosystem Modeling and EOS Satellite Data , 1999 .

[7]  Paul V. Bolstad,et al.  Using Light-Use and Production Efficiency Models to Predict Photosynthesis and Net Carbon Exchange During Forest Canopy Disturbance , 2008, Ecosystems.

[8]  Piermaria Corona,et al.  Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems , 2009 .

[9]  P. Ciais,et al.  Analyzing the causes and spatial pattern of the European 2003 carbon flux anomaly in Europe using seven models , 2007 .

[10]  W. Cohen,et al.  Evaluation of MODIS NPP and GPP products across multiple biomes. , 2006 .

[11]  J. Ni.  Forest productivity of the Altay and Tianshan Mountains in the dryland, northwestern China , 2004 .

[12]  Markus Reichstein,et al.  CO2 balance of boreal, temperate, and tropical forests derived from a global database , 2007 .

[13]  Kurt S. Pregitzer,et al.  Carbon cycling and storage in world forests: biome patterns related to forest age , 2004 .

[14]  S. Running,et al.  An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation , 1999 .

[15]  R. Ceulemans,et al.  Contrasting net primary productivity and carbon distribution between neighboring stands of Quercus robur and Pinus sylvestris. , 2005, Tree physiology.

[16]  P. C. Smits,et al.  A Model-Based Approach for the Estimation of Carbon Sinks in European Forests , 2003 .

[17]  W. Kutsch,et al.  Spatial heterogeneity of ecosystem carbon fluxes in a broadleaved forest in Northern Germany , 2005 .

[18]  Luca Bechini,et al.  Parameterization of a crop growth and development simulation model at sub-model components level. An example for winter wheat (Triticum aestivum L.) , 2006, Environ. Model. Softw..

[19]  Cristina Milesi,et al.  User's Guide GPP and NPP (MOD17A2/A3) Products NASA MODIS Land Algorithm , 2003 .

[20]  Ramakrishna R. Nemani,et al.  Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[21]  J. Monteith,et al.  Principles of Environmental Physics , 2014 .

[22]  M. Williams,et al.  Net primary production of forests: a constant fraction of gross primary production? , 1998, Tree physiology.

[23]  Steven W. Running,et al.  Assessing interannual variation in MODIS-based estimates of gross primary production , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[24]  A. Barbati,et al.  Modelling of Italian forest net primary productivity by the integration of remotely sensed and GIS data , 2007 .

[25]  Ramakrishna Nemani,et al.  Collection 005 Change Summary for the MODIS , 2006 .

[26]  C. Wirth,et al.  Reconciling Carbon-cycle Concepts, Terminology, and Methods , 2006, Ecosystems.

[27]  C. Justice,et al.  The generation of global fields of terrestrial biophysical parameters from the NDVI , 1994 .

[28]  R. J. Olson,et al.  NET PRIMARY PRODUCTION AND CARBON ALLOCATION PATTERNS OF BOREAL FOREST ECOSYSTEMS , 2001 .

[29]  Gene E. Likens,et al.  The Hubbard Brook Ecosystem Study: Forest Biomass and Production , 1974 .

[30]  Dmitry Schepaschenko,et al.  Semi-empirical models for assessing biological productivity of Northern Eurasian forests , 2007 .

[31]  S. Running,et al.  A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .

[32]  Peter E. Thornton,et al.  Parameterization and Sensitivity Analysis of the BIOME–BGC Terrestrial Ecosystem Model: Net Primary Production Controls , 2000 .

[33]  R. Colombo,et al.  Seasonal and interannual patterns of carbon and water fluxes of a poplar plantation under peculiar eco-climatic conditions , 2009 .

[34]  P. Ciais,et al.  Europe-wide reduction in primary productivity caused by the heat and drought in 2003 , 2005, Nature.

[35]  Markus Reichstein,et al.  Analyzing the causes and spatial pattern of the European 2003 carbon flux anomaly using seven models , 2007 .

[36]  Francesco Uboldi,et al.  Three‐dimensional spatial interpolation of surface meteorological observations from high‐resolution local networks , 2008 .

[37]  Kenneth G. Cassman,et al.  Maize Radiation Use Efficiency under Optimal Growth Conditions , 2005 .