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Input database related uncertainty of Biome-BGCMuSo agroenvironmental model outputs

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International Journal of Digital Earth 2021年第11期14卷 1582-1601页

作者： Nándor Fodor LászlóPásztor Brigitta Szabó Annamária Laborczi Klára Pokovai Dóra Hidy Roland Hollós Erzsébet Kristóf Anna Kis Laura Dobor AnikóKern Thomas Grünwald Zoltán Barcza Centre for Agricultural Research Agricultural InstituteMartonvásárHungary Centre for Agricultural Research Institute for Soil SciencesBudapestHungary Department of Meteorology Eötvös Loránd UniversityBudapestHungary Faculty of Science-Excellence Center Eötvös Loránd UniversityMartonvásárHungary Faculty of Forestry and Wood Sciences Czech University of Life Sciences PraguePraha-SuchdolCzech Republic Department of Geophysics and Space Science Eötvös Loránd UniversityBudapestHungary Institute of Hydrology and Meteorology Technische Universität DresdenTharandtGermany

Gridded model assessments require at least one climatic and one soil database for carrying out the *** are several parallel soil and climate database development projects that provide sufficient,albeit considerably different,observation based input data for crop model based impact *** input database related uncertainty of the Biome-BGCMuSo agro-environmental model outputs was investigated using three and four different gridded climatic and soil databases,respectively covering an area of nearly 100.000 km2 with 1104 grid ***,temporal,climate and soil database selection related variances were calculated and compared for four model outputs obtained from 30-year-long *** choice of the input database introduced model output variability that was comparable to the variability the year-to-year change of the weather or the spatial heterogeneity of the soil *** database selection could be a decisive factor in carbon sequestration related studies as the soil carbon stock change estimates may either suggest that the simulated ecosystem is a carbon sink or to the contrary a carbon source on the long *** evaluation of the input database quality seems to be an inevitable and highly relevant step towards more realistic plant production and carbon balance simulations.

关键词： Input data gridded data soil parameters climatic parameters uncertainty propagation

Driving factors of tree biomass and soil carbon pool in xerophytic forests of northeastern Argentina

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Ecological Processes 2023年第1期12卷 916-928页

作者： Silvana María JoséSione Marcelo Germán Wilson Silvia Gabriela Ledesma Emmanuel Adrián Gabioud JoséDaniel Oszust Leandro Javier Rosenberger Centro de Investigación Científica y de Transferencia Tecnológica a la Produc-ción(CICyTTP-CONICET) España 149(3105)DiamanteEntre RíosArgentina Facultad de Ciencias Agropecuarias(FCA-UNER) Universidad Nacional de Entre RíosRuta 11 Km 10.5(3101)Oro VerdeEntre RíosArgentina Instituto Nacional de Tecnología Agropecuaria(INTA) EEA ParanáRuta 11 Km 12.5(3101)Oro VerdeEntre RíosArgentina

Background The conversion of forests into agricultural lands can be a threat because the forests carbon stored could be a source of emissions. The capacity to improve the predictions on the consequences of land use change depends on the identification of factors that influence carbon pools. We investigated the key driving factors of tree biomass and soil carbon pools in xerophytic forests in northeastern Argentina. Based on analyses of forest structure variables and abiotic factors (topography and soil properties) from 18 mature forests, we evaluated carbon pools using uniand multivariate (redundancy analysis) methods. Results The total carbon pool was estimated at 102.4 ± 24.0 Mg ha−1. soil organic carbon storage is the single largest carbon pool relative to tree biomass, representing 73.1% of total carbon. Tree canopy cover and basal area were positively correlated with biomass carbon pool (r = 0.77 and r = 0.73, p soil clay content and cation-exchange capacity had a better explanation for the variability in soil carbon pools, and all showed significant positive correlations with soil carbon pools (r = 0.64, 0.60 and 0.50;p soil carbon stock than alfisols. Conclusions The relevance of our study stems from a dearth of information on carbon pools and their drivers in xerophytic forests, and in particular, the importance of this ecosystems’ type for Argentina, because they cover 81.9% of native forest area. Basal area and tree canopy cover exert a strong effect on the carbon pool in tree biomass but not in the soil. The results suggests that there is a potentially major SOC accumulation in forests located in slightly sloping areas and soils with higher topsoil clay content, such as vertisols. This could provide an important reference for implementing forestry carbon sink projects.

关键词： Carbon pool Forest biomass soil parameters Ecosystem services

Prediction of Extractable Cd,Pb and Zn in Contaminated Woody Habitat soils Using a Change Point Detection Method

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Pedosphere 2016年第3期26卷 282-298页

作者： Christophe WATERLOT Christelle PRUVOT Géraldine BIDAR Clémentine FRITSCH Annette DE VAUFLEURY Renaud SCHEIFLER Francis DOUAY Groupe ISA Laboratoire Genie Civil et geo-Environnement(LGCgE)Lille 59046(France) Departement Chrono-Environment UMR UFC/CNRS 6249 USC INRAUniversite Bourgogne Franche-ComteBesancon 25030(France)

Accumulation of heavy metals in soils poses a potential risk to plant production, which is related to availability of the metals in soil. The phytoavailability of metals is usually evaluated using extracting solutions such as salts, acids or chelates. The purpose of this study was to identify the most significant soil parameters that can be used to predict the concentrations of acetic and citric acidextractable cadmium(Cd), lead(Pb) and zinc(Zn) in contaminated woody habitat topsoils. Multiple linear regression models were established using two analysis strategies and three sets of variables based on a dataset of 260 soil samples. The performance of these models was evaluated using statistical parameters. Cation exchange capacity, CaCO_3, organic matter, assimilated P, free Al oxide,sand and the total metal concentrations appeared to be the main soil parameters governing the solubility of Cd, Pb and Zn in acetic and citric acid solutions. The results strongly suggest that the metal solubility in extracting solutions is extractable concentrationdependent since models were overall improved by incorporating a change point. This change point detection method was a powerful tool for predicting extractable Cd, Pb and Zn. Suitable predictions of extractable Cd, Pb and Zn concentrations were obtained, with correlation coefficient(adjusted r) ranging from 0.80 to 0.99, given the high complexity of the woody habitat soils studied. Therefore,the predictive models can constitute a decision-making support tool for managing phytoremediation of contaminated soils, making recommendations to control the potential bioavailability of metals. The relationships between acetic and/or citric acid-extractable concentrations and the concentrations of metals into the aboveground parts of plants need to be predicted, in order to make their temporal monitoring easier.

关键词： acetic acid citric acid contaminated soil extractability metals multiple linear regression model soil parameters

CROPGRO-Soybean Model Calibration and Assessment of Soybean Yield Responses to Climate Change

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American Journal of Climate Change 2020年第3期9卷 297-316页

作者： Joseph E. Quansah Pauline Welikhe Gamal El Afandi Souleymane Fall Desmond Mortley Ramble Ankumah Department of Agricultural and Environmental Sciences Tuskegee University Tuskegee AL USA Agronomy Department Purdue University West Lafayette IN USA

Process-based crop simulation models are useful for simulating the impacts of climate change on crop yields. Currently, estimation of spatially calibrated soil parameters for crop models can be challenging, as it requires the availability of long-term and detailed input data from several sentinel sites. The use of aggregated regional data for model calibrations has been proposed but not been employed in regional climate change studies. The study: 1) employed the use of county-level data to estimate spatial soil parameters for the calibration of CROPGRO-Soybean model and 2) used the calibrated model, assimilated with future climate data, in assessing the impacts of climate change on soybean yields. The CROPGRO-Soybean model was calibrated using major agricultural soil types, crop yield and current climate data at county level, for selected counties in Alabama for the period 1981-2010. The calibrated model simulations were acceptable with performance indicators showing Root Mean Square Error percent of between 27 - 43 and Index of Agreement ranging from 0.51 to 0.76. Projected soybean yield decreased by an average of 29% and 23% in 2045, and 19% and 43% in 2075, under Representative Concentration Pathways 4.5 and 8.5, respectively. Results showed that late-maturing soybean cultivars were most resilient to heat, while late-maturing cultivators needed optimized irrigation to maintain appropriate soil moisture to sustain soybean yields. The CROPGRO-Soybean phenological and yield simulations suggested that the negative effects of increasing temperatures could be counterbalanced by increasing rainfall, optimized irrigation, and cultivating late-maturing soybean cultivars.

关键词： Climate Change CROPGRO-Soybean Model Crop Yield soil parameters

Current State and Development of the soil Health Index in Localities with Various soil-Climatic Conditions in the Slovak Republic

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Journal of Geoscience and Environment Protection 2022年第6期10卷 1-11页

作者： Jarmila Makovníková Boris Pálka Stanislav Kološta National Agricultural and Food Centre/soil Science and Conservation Research Institute Bratislava Regional Station Banská Bystica Slovakia Faculty of Ecomonics Matej Bel University Banská Bystrica Slovakia

The aim of the study was to assess the current state and development of the soil Health Index (SHI) at 13 localities with various soil-ecological conditions in the Slovak Republic. The SHI was developed using a minimum soil data set, physical and chemical soil parameters in combination with environmental parameters (land use, gradients). The SHI is one numerical value accumulates information about the state of soil health and its ability to provide soil functions and thus ecosystems in the optimal range. The highest SHI values were determined at model localities used as arable land (Haplic Chernozem, Fluvisol) located in a warm climate at altitudes up to 200 meters above sea level. Ecosystems with very low and low value are mostly grasslands with mildly cold climate (Cambisol) and considerable slope, agroecosystem on low organic matter (Arenosol). Arable ecosystem SHI is also reduced in areas of geochemical anomalies and areas with anthropogenic load, where there is a higher content of risk elements. The SHI changes are mainly the result of changes in dynamic indicators such as soil response and soil bulk density.

关键词： soil Health Agroecosystem Services soil parameters Minimum soil Data Set

Impact of Fast-Growing Trees Planting on Degraded Land from Perspectives of Ecosystem Services—Case Study from Slovakia

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Journal of Geoscience and Environment Protection 2022年第11期10卷 140-150页

The aim of the study was to assess the effect of natural phytoremediation, impact of growing fast-growing trees on contaminated agricultural land on ecosystem services using a Matrix evaluation system. The Matrix system is a table that links an ecosystem to its potential to provide ecosystem services. To determine the monetary price of natural capital for the provision of ecosystem services, we chose the value transfer method, based on which it is possible to assign a price (1 point = 40.7 EUR) to point values. Monitoring of the study site Kuchyňa (Mollic Fluvisol) is running since year 2010. The fast-growing willow was planted (between 2006 to 2018 year) on an area of about 43 hectares. During the monitoring of soil parameters, we observed a slight decrease in the value of the active soil reaction, a negative trend in the content of available phosphorus and a positive trend in the development of the total content risk elements in the soil. The phytoremediation ability of willow regarding risk elements was manifested by an increase in the value and price of production and regulatory ecosystem services at the monitored location. The price of natural phytoremediation of fast-growing willow on the given area was 218762.5 EUR for production services and 171509.8 EUR for regulatory services.

关键词： Ecosystem Services soil parameters Fast Growing Trees