Main authors: | Ana Iglesias, David Santillán, Luis Garrote and contributions from ISS (China) |
iSQAPERiS editor: | Jane Brandt |
Source document: | Iglesias, A. et al. (2018) Report on definition of typical combinations of farming systems and agricultural practices in Europe and China and their effects on soil quality. iSQAPER Project Deliverable 7.1, 87 pp |
References cited in articles in this section of iSQAPERiS
- Abildtruo J, and Gylling-, M (2001) Climate change and regulation of agricultural land use A literature survey on adaptation options and policy measures Working paper, Danish Institute of Agricultural and Fisheries Economics, Copenhagen 57 pp http://www foi dk/wp/wp19-01 pdf
- Álvaro-Fuentes, J., Morell, F.J., Plaza-Bonilla, D., Arrúe, J.L., Cantero-Martínez, C., 2012.Modelling tillage and nitrogen fertilization effects on soil organic carbon dynamics. Soil and Tillage Research 120, 32-39
- Andersen E 2010. Regional typologies of farming systems contexts, SEAMLESS Report no. 53, SEAMLESS integrated project, www.SEAMLESS-IP.org, 41 pp., ISBN no. 978-90- 8585-596-5
- Baker JM, Ochsner TE, Venterea RT, Griffis TJ. Tillage and soil carbon sequestration—what do we really know? Agriculture, Ecosystems & Environment. 2007;118:1–5
- Bazilian, M., Rogner, H., Howells, M., Hermann, S., Arent, D., Gielen, D., Steduto, P., Mueller, A., Komor, P., Tol,R.S.J., Yumkella, K.K., 2011. Considering the energy, water and food nexus: towards an integrated modelling approach. Energy Policy39,7896–7906.
- Beck L, Bobo M, Kitron U. Remote sensing, GIS and landscape ecology: means for studying disease and global change. In: Martens P, McMichael T, editors. Environmental Change, Climate and Health: Issues and Research Methods. Cambridge University Press; 2002. pp. 226–252.
- Beck LR, Lobitz BM, Wood BL. Remote sensing and human health: New sensors and new opportunities. Emerg Infect Dis. 2000;6:217–227. [PMC free article] [PubMed]
- Bennett, N.D., Croke, B.F.W.,Guariso, G., Guillaume, J.H.A., Hamilton, S.H., Jakeman, A.J., Marsili-Libelli, S., Newham, L.T.H., Norton, J.P., Perrin, C., Pierce, S.A., Robson, B., Seppelt, R., Voinov, A.A., Fath, B.D., Andreassian, V., 2013. Characterising performance ofenvironmentalmodels. Environ. Model. Software 40,1–20.
- Besag J, Newell J. The detection of clusters in rare diseases. J Roy Stat Soc, Ser A. 1991;154:143–155.
- Bhogal, A., Chambers, B.J., Whitmore, A.P., Powlson, D.S., 2007. The Effect of Reduced Tillage Practices and Organic Matter Additions on the Carbon Content of Arable Soils. Scientific Report SP0561. Department of Environment, Food and Rural Affairs, London, UK, 47 pp
- Bousquet, F., Le Page, C., 2004. Multi-agent simulations and ecosystemmanagement: a review. Ecol.Model. 176, 313–332.
- Brown, D.G.,Verburg, P.H.,Pontius Jr., R.G., Lange, M.D.,2013. Opportunities to improve impact, integration, and evaluation of land change models. Curr. Opin. Environ. Sustainability 5,452–457.
- Carbajo AE, Schweigmann N, Curto SI, Garín A, Bejarán R. Dengue transmission risk maps of Argentina. Trop Med Int Health. 2001;6:170–183. [PubMed]
- Castella, J.-C., Pheng Kam, S., Dinh Quang, D., Verburg, P.H.,Thai Hoanh, C., 2007.Combining top-down and bottom-up modelling approaches ofland use/cover change to support public policies: application to sustainable management ofnatural resources in northern Vietnam. Land UsePolicy 24,531–545.
- Castella, J.C., Verburg, P.H., 2007. Combination ofprocess-oriented and pattern- oriented models of land-use change in a mountain area of Vietnam. Ecol. Model.202, 410–420.
- Cecere MC, Vazquez-Prokopec GM, Gürtler RE, Kitron U. Reinfestation sources for Chagas disease vector, Triatoma infestans, Argentina. Emerg Infect Dis. 2006;12:1096–1102. [PMC free article] [PubMed]
- Cecere MC, Vazquez-Prokopec GM, Gürtler RE, Kitron U. Spatio-temporal analysis of reinfestation by Triatoma infestans (hemiptera: reduviidae) following insecticide spraying in a rural community in northwestern argentina. Am J Trop Med Hyg. 2004;71:803–810. [PMC free article] [PubMed]
- Chadee DD, Kitron U. Malaria surveillance in Trinidad: imported cases and risk of outbreaks. Am J Trop Med Hyg. 1999;61:513–517. [PubMed]
- Clennon JA, King CH, Muchiri EM, Kariuki HC, Ouma JH, Mungai P, Kitron U. Spatial patterns of urinary schistosomiasis infection in a highly endemic area of coastal Kenya. Am J Trop Med Hyg. 2004;70:443–448. [PubMed]
- Clennon JA, Mungai P, Muchiri EM, King CH, Kitron U. Spatial and temporal variations in local transmission of Schistosoma haematobium in Msambweni, Kenya. Am J Trop Med Hyg. in press. [PubMed]
- Cole, S., 1974.World models, their progress and applicability. Futures 6,201–218.
- Cooke, R., 2013. Uncertainty analysis comes to integrated assessment models forclimate change . . . and conversely. Clim. Change 117, 467–479.
- Costantini EAC,L'Abate G (2016)Beyond the concept of dominant soil: Preserving pedodiversityin upscaling soil maps.
- Costanza, R., Leemans, R., Boumans, R., Gaddis, E., 2007. Integrated Global Models.In: Costanza, R., Graumlich, L.J., Steffen, W. (Eds.), Sustainability or Collapse: An Integrated History and Future of People on Earth. Dahlem Workshop Report 96. MITpress, Cambridge MA,pp. 417–446.
- Cromley EK, McLafferty SL. GIS and Public Health. The Guilford Press; 2002.
- Crutzen, P.J., Stoermer, E.F., 2000. The Anthropocene. Global Change Newslett. 41,17–18.
- Cumming G S, Cumming, DHM, Redman CL (2006) Scale mismatches in social-ecological systems: causes, consequences, and solutions . Ecology and Society 11(1): 14. [online] URL: http://www.ecologyandsociety.org/vol11/iss1/art14/
- DEFRA, 2012. FAPRI-UK Baseline Projections 2012-2021: Technical Report. Available online http://randd.defra.gov.uk/Default.aspx?Menu=Menu&Module=More&Location=None&Completed=0&ProjectID=17569#Description
- Diggle PJ, Rowlinson BS. A conditional approach to point process modeling of elevated risk. J Roy Stat Soc. 1994;157:433–440.
- Diggle PJ. A point process modeling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point. J Roy Stat Soc. 1990;153:349–362.
- Dobbie, S., Dyke, J.G., Schreckenberg, K., 2015. THeuse of participatory methods &simulation tools to understand the complexity of rural food security. In: Bryde, D., Mouzughi, Y. (Eds.), Sustainability in the Gulf Countries. Gerlach Press.
- Dominati, E., Patterson, M., Mackay, A. 2010. A framework for classifying and quantifying the natural capital and ecosystem services of soils. Ecological Economics. 69, 1858-1868
- Dumonteil E, Gourbiere S. Predicting Triatoma dimidiata abundance and infection rate: A risk map for natural transmission of Chagas disease in the Yucatan Peninsula of Mexico. Am J Trop Med Hyg. 2004;70:514–519. [PubMed]
- Enenkel, M., See, L., Bonifacio, R., Boken, V., Chaney, N., Vinck, P., You,L., Dutra,E., Anderson, M., 2015. Drought and food security—improving decision-support via new technologies and innovative collaboration. Global Food Secur. 4,51–55.
- EU - CCAT survey results, as policies/subsidies are drivers for farmers to uptake the measures
- EU - Farm Systems Survey - FSS (Farm Systems Survey EU)
- EU DG Eurostat
- Evans, M.R., Grimm, V., Johst, K., Knuuttila, T., de Langhe, R., Lessells, C.M., Merz, M., O’Malley, M.A.,Orzack, S.H.,Weisberg, M.,Wilkinson, D.J., Wolkenhauer, O., Benton, T.G., 2013. Do simple models lead to generality in ecology? Trends Ecol. Evol.28,578–583.
- Ewert, F., van Ittersum, M.K.,Heckelei, T., Therond, O., Bezlepkina, I., Andersen,E.,2011. Scale changes and model linking methods forintegrated assessment of agri-environmental systems. Agric. Ecosyst. Environ. 142, 6–17.
- FADN, Farm Accountancy Data Network
- FAOSTAT
- Farmer, J.D., Foley, D., 2009. The economy needs agent-based modelling. Nature 460,685–686.
- Filatova, T., Verburg, P.H.,Parker, D.C., Stannard, C.A., 2013. Spatial agent-based models forsocio-ecological systems: challenges and prospects. Environ. Model. Software 45,1–7.
- Forrester, J., 1971. Counterintuitive behavior of social systems. Theory Decis. 2, 109–140.
- Gatrell AC, Bailey TC, Diggle PJ, Rowlingson BS. Spatial point pattern analysis and its application in geographical epidemiology. Trans Inst Brit Geog. 1996;21:256–274.
- Getis A, Franklin J. Second-order neighborhood analysis of mapped point patterns. Ecology. 1987;68:473–477.
- Getis A, Morrison AC, Gray K, Scott TW. Characteristics of the spatial pattern of the dengue vector, Aedes aegypti, in Iquitos, Peru. Am J Trop Med Hyg. 2003;6:494–505. [PubMed]
- Getis A, Ord JK. Local Spatial Statistics: An Overview. In: Longley P, Batty M, editors. Spatial analysis: modeling in a GIS environment. Geoinformation International; Cambridge: 1996. pp. 261–277.
- Getis A. Interaction modeling using second-order analysis. Env Plan A. 1984;16:173–183.
- Glenk, K., Colombo, S. 2011. Designing policies to mitigate the agricultural contribution to climate change: an assessment of soil based carbon sequestration and its ancillary effects. Climatic Change. 105, 43-66
- Glenk, K., McVittie, A., Moran, D., Smith, P., Yeluripati, J.B., Ghaley, B.B., Porter, J.R. 2013. Deliverable D3.1: Soil and Soil Organic Carbon within an Ecosystem Service Approach Linking Biophysical and Economic Data. Report for EU FP7 SmartSOIL (Grant Agreement N° 289694). Available at http://smartsoil.eu/
- Granell, C., Schade, S., Ostländer, N., 2013. Seeing the forest through the trees: a review ofintegrated environmental modelling tools. Comput. Environ. Urban Syst. 41, 136–150.
- Guerra CA, Snow RW, Hay SI. A global assessment of closed forests, deforestation and malaria risk. Ann Trop Med Parasit. 2006;100:189–204. [PMC free article] [PubMed]
- Hay SI, Randolph SE, Rogers DJ. Adv Parasit. Vol. 47. London Academic Press; 2000. Remote sensing and geographical information systems in epidemiology.
- Hay SI. An overview of remote sensing and geodesy for epidemiology and public health application. Adv Parasit. 2000;47:1–35. [PMC free article] [PubMed]
- Hess GR, Randolph SE, Arneberg P, Chemini C, Furlanello C. Spatial aspects of disease dynamics. In: Hudson PJ, Rizzoli A, Grenfell BT, Heesterbeek H, Dobson AP, editors. The Ecology of Wildlife Diseases. Oxford University Press; 2002. pp. 102–118.
- Holmes EE. Basic epidemiological concepts in a spatial context. In: Tilman D, Kareiva P, editors. Spatial Ecology: the role of space in population dynamics and interspecific interactions. Princeton Univ. Press; 1997.
- http://smartsoil.eu/fileadmin/www.smartsoil.eu/WP2/D2_2_Final.pdf
- Intergovernmental Panel on Climate Change, 2013. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report ofthe Intergovernmental Panel on Climate Change. Cambridge University Press.
- IPCC AR4
- JRC soil data
- Kariuki CH, Clennon JA, Brady MS, Kitron U, Sturrock RF, Hoffman O, Hamburger J, Ouma J, Tosha S, Ndzovu M, Mungai P, Pellegrini C, Muchiri E, King CH. Distribution patterns and cercarial shedding of Bulinus nasutus and other snails in Msambweni Area, Coast Province. Kenya. Am J Trop Med Hyg. 2004;70:449–456. [PubMed]
- Kitron U, Jones CJ, Bouseman JK, Nelson JA, Baumgartner DL. Spatial analysis of the distribution of Ixodes dammini (Acari:Ixodidae) on white-tailed deer in Ogle county, Illinois. J Med Entomol. 1992;29:259–266. [PubMed]
- Kitron U, Michael J, Swanson J, Haramis L. Spatial analysis of the distribution of LaCrosse encephalitis in Illinois, using a geographic information system and local and global spatial statistics. Am J Trop Med Hyg. 1997;57:469–475. [PubMed]
- Kitron U. Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. J Med Entomol. 1998;35:435–445. [PubMed]
- Kitron U. Risk maps: Transmission and burden of vector-borne diseases. Parasitol Today. 2000;16:324–325. [PubMed]
- Kleinschmidt I, Clarke GPY, Bagayoko M, Craig MH, le Sueur D. A spatial statistical approach to malaria mapping. Int J Epid. 2000;29:355–361. [PubMed]
- Lal R (2004) Carbon sequestration in dryland ecosystems. Environmental Management 33(4):528–544
- Lawson AB. Wiley Series in Probability and Statistics. John Wiley & Sons; 2001. Statistical Methods in Spatial Epidemiology; p. 298.
- Levin S. The problem of pattern and scale in ecology. Ecology. 1992;73:1943–1967.
- Levins R. Evolution in changing environments. Princeton University Press; 1968. p. 120.
- LUCAS soil survey
- Malone JB. Biology-based mapping of vector-borne parasites by Geographic Information Systems and Remote Sensing. Parassitologia. 2005;47:27–50. [PubMed]
- Mapping malaria risk in Africa MARA/ARMA. http://www.mara.org.za/
- McVittie, A., Ghaley, B.B., Molnar, A., Dibari, C., Karaczun, Z., Sánchez B. 2014. Deliverable D3.2: Report on the cost-effectiveness of SOC measures. Report for EU FP7 SmartSOIL (Grant Agreement N° 289694). Available at http://smartsoil.eu/
- Messina, J.P., Evans, T.P., Manson, S.M., Shortridge, A.M., Deadman, P.J., Verburg, P.H.,2008. Complex systems models and the management of error and uncertainty. J. Land UseSci.3, 11–25.
- MITERRA model, Alterra
- Morris SE, Wakefield JC. Assessment of disease risk in relation to a pre-specified source. In: Elliot P, Wakefield J, Best N, Briggs D, editors. Spatial epidemiology. Methods and applications. Oxford University press; 2000. pp. 153–184.
- Morrison AC, Getis A, Santiago M, Rigau-Perez JG, Reiter P. Exploratory space-time analysis of reported dengue cases during an outbreak in Florida, Puerto Rico, 1991-1992. Am J Trop Med Hyg. 1998;58:287–298. [PubMed]
- Muchiri EM, Ouma JH, King CH. Dynamics and control of Schistosoma haematobium transmission in Kenya: an overview of the Msambweni Project. Am J Trop Med Hyg. 1996;55:127–134. [PubMed]
- Olesen J.E. et al. 2014. Deliverable D1.3: Simplified model of management on SOC flows and stocks and crop yield. Report for EU FP7 SmartSOIL (Grant Agreement N° 289694). Available at http://smartsoil.eu/
- Ord JK, Getis A. Local spatial autocorrelation statistics: distributional issues and an application. Geographical Analysis. 1995;27:286–306.
- Qi Y, Wu J. Effects of changing spatial resolution on the results of landscape pattern analysis using spatial autocorrelation indices. Landscape Ecol. 1996;11:39–49.
- Raso G, Vounatsou P, Singer BH, N’Goran EK, Tanner M, Utzinger J. An integrated approach for risk profiling and spatial prediction of Schistosoma mansoni-hookworm coinfection. PNAS. 2006;103:6934–6939. [PMC free article] [PubMed]
- Robinson TP. Spatial statistics and geographical information systems in epidemiology and public health. Adv Parasit. 2000;47:82–120. [PubMed]
- Robinson, D.A.; Hockley, N.; Cooper, D.M.; Emmett, B.A.; Keith, A.M.; Lebron, I.; Reynolds, B.; Tipping, E.; Tye, A.M.; Watts, C.W.; Whalley, W.R.; Black, H.I.J.; Warren, G.P.; Robinson, J.S.. 2013 Natural capital and ecosystem services, developing an appropriate soils framework as a basis for valuation.Soil Biology and Biochemistry, 57. 1023-1033
- Rounsevell, M.D.A.,Arneth, A., 2011. Representing human behaviour and decisional processes in land system models as an integral component of the earth system. Global Environ. Change 21, 840–843.
- Rounsevell, M.D.A.,Arneth, A., Alexander, P., Brown, D.G., de Noblet-Ducoudré,N., Ellis,E., Finnigan, J., Galvin, K., Grigg, N., Harman, I., Lennox, J., Magliocca,N., Parker, D., O'Neill, B.C., Verburg, P.H.,Young, O., 2014. Towards decision-based global land use models forimproved understanding of the Earth system. Earth Syst. Dynam. 5, 117–137.
- SAC (2013) The Farm Management Handbook 2013/14 34th Edition, SAC Consulting Ltd
- Sánchez B, Álvaro-Fuentes J, Cunningham R, Iglesias A. Towards mitigation of greenhouse gases by small changes in farming practices: understanding local barriers in Spain (Article in press). Mitigation and Adaptation Strategies for Global Change (Available online April 2014) (DOI: 10.1007/s11027-014-9562-7)
- SmartSOIL, Measures to climate change mitigation in agriculture
- SmartSOIL, 2013: Deliverable 2.2. Typical farming systems and trends in crop and soil management in Europe. Downloaded from: http://smartsoil.eu/fileadmin/www.smartsoil.eu/WP2/D2_2_Final.pdf
- Smith, P., Martino, D., Cai, Z., Gwary, D., Janzen, H., Kumar, P., McCarl, B., Ogle, S., O'Mara, F., Rice, C., Scholes, B., Sirotenko, O., Howden, M., McAllister, T., Pan, G., Romanenkov, V., Rose, S., Schneider, U., Towprayoon, S. &Wattenbach, M. 2007b. Agriculture. in B Metz, OR Davidson, PR Bosch, R Dave & LA Meyer (eds), Contribution of Working group Climate Change 2007: Mitigation of Climate Change: Working Group III contribution to the Fourth Assessment Report of the IPCC. Cambridge University Press, Cambridge, United Kingdom
- Smith, P., Powlson, D.S., Glendining, M.J., Smith, J.U., 1998. Preliminary estimates of the potential for carbon mitigation in European soils through no-till farming. Global Change Biology 4, 679–685
- Snow RW, Craig MH, Deichmann U, le Sueur D. A preliminary continental risk map for malaria mortality among African Children. Parasit Today. 1999;15:99–104. [PubMed]
- Snow RW, Guerra CA, Noor AM, Myint HY, Hay SI. The global distribution of clinical episodes of Plasmodium falciparum malaria. Nature. 2005;434:214–217. [PMC free article] [PubMed]
- Snyder CS, Bruulsema TW, Jensen TL, Fixen PE (2009) Review of greenhouse gas emissions from crop production systems and fertilizer management effects. AgricEcosyst Environ 133(3):247–266
- Stirling, A., 2010. Keep it complex. Nature 468, 1029–1031.
- Turner MG, O’Neill RV, Gardner RH, Milne BT. Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecol. 1989;3:153–162.
- Vazquez-Prokopec GM, Cecere MC, Canale DM, Gürtler RE, Kitron U. Spatiotemporal patterns of reinfestation by Triatoma guasayana (Hemiptera: Reduviidae) in a rural community of north-western Argentina. J Med Entomol. 2005;42:571–581. [PMC free article] [PubMed]
- Verburg PH, Dearing JA, Dyke JG, van der Leeuw S, Seitzinger S, Steffen W, Syvitski J (2016) Methods and approaches to modelling the Anthropocene. Global Environmental Change 39 (2016) 328–340
- Wiens JA. Spatial scaling in ecology. Function Ecol. 1989;3:385–397.
- WOCAT documentation
- Wösten, H., Kuikman, P. 2014 Deliverable D1.3: Report describing the practices and measures in European farming systems to manage soil organic matter. Report for EU FP7 SmartSOIL (Grant Agreement N° 289694). Available at http://smartsoil.eu/