Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia最新文献_第4页

Trend analysis of precipitation data in Turkey and relations to atmospheric circulation: (1955-2013) 土耳其降水资料趋势分析及其与大气环流的关系(1955-2013)

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2020-01-01 DOI: 10.13128/IJAM-887

Muhammet Topuz, M. Karabulut, H. Feidas

引用次数: 9

Hydrological drought analysis in Continental Temperate and Mediterranean environment during the period 1981-2017 1981-2017年大陆性温带和地中海环境水文干旱分析

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2019-12-28 DOI: 10.13128/IJAM-798

Simone Falzoi, F. Acquaotta, M. Pulina, S. Fratianni

引用次数: 7

Modeling of Surface Conductance over Sunn Hemp by Artificial Neural Network 太阳麻表面电导率的人工神经网络建模

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2019-12-28 DOI: 10.13128/IJAM-589

L. Şaylan, R. Kimura, Nilcan Altınbaş, B. Çaldağ, F. Bakanoğullari

{"title":"Modeling of Surface Conductance over Sunn Hemp by Artificial Neural Network","authors":"L. Şaylan, R. Kimura, Nilcan Altınbaş, B. Çaldağ, F. Bakanoğullari","doi":"10.13128/IJAM-589","DOIUrl":"https://doi.org/10.13128/IJAM-589","url":null,"abstract":"Performances of an Artificial Neural Network (ANN), a multiple linear regression (MLR) and the Jarvis type model were compared to estimate the surface conductance of the sunn hemp crop, which is a driving factor affecting evapotranspiration. It was modeled by ANN and MLR using various parameters including global solar radiation, temperature, soil water content, relative humidity, precipitation and irrigation, vapor pressure deficit, wind speed and leaf area index (LAI). The measurements were carried out during the growing season of sunn hemp in 2004. The best correlation (r2=0.73) between the surface conductance and all variables was estimated by the ANN, whereas r2 was 0.91 in the training period. The average absolute relative error was 26.54% for the ANN (r2=0.80); 51.07% for the MLR (r2=0.53) and 58.30% for Jarvis model (r2=0.26), when the vapor pressure deficit, temperature, soil water content, global solar radiation and leaf area index were considered to model. Comparisons showed that the ANN approach had a better modeling potential of the surface conductance compared to the MLR and Jarvis model. \u0000 \u0000Keywords: Agriculture, Air-water interaction, Evapotranspiration, Network analysis","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":"82 1","pages":"37-48"},"PeriodicalIF":1.2,"publicationDate":"2019-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76923287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Assessment of Soil Heat Flux Equations for Different Crops under Semi Humid Conditions 半湿润条件下不同作物土壤热通量方程的评价

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2019-10-06 DOI: 10.13128/IJAM-652

Sezel Karayusufoğlu Uysal, L. Şaylan

{"title":"Assessment of Soil Heat Flux Equations for Different Crops under Semi Humid Conditions","authors":"Sezel Karayusufoğlu Uysal, L. Şaylan","doi":"10.13128/IJAM-652","DOIUrl":"https://doi.org/10.13128/IJAM-652","url":null,"abstract":"Soil heat flux (G) is an important component of energy balance by constraining the available amount of latent heat and sensible heat. There are many methods and formulations in the literature to estimate G accurately. In this study, widely used G estimation models are chosen to test. The models are based on Spectral Vegetation Indices (SVIs) namely, Normalized Difference Vegetation Index (NDVI), and Soil Adjusted Vegetation Index (SAVI) together with leaf area index (LAI), and crop height. Two successive growing periods of winter wheat (Triticum Aestivum L.), sunflower (Helianthus annuus L.), and maize (Zea mays L.) fields, located in the northwest part of Turkey, are used. Midday values (average of 09:30- 13:30) of G and net radiation (Rn) used in order to capture the time period, when G is proven to be much dominant. According to the results, overall the best relation obtained with an exponential NDVI model with a determination coefficient value of 0.83 and a root mean square (RMS) error value of 20.28 Wm-2 for maize. For winter wheat, G predicted the best with SAVI based model (r2=0.74), and for sunflower, LAI based model worked best with 0.75 r2 value. Crop height (CH) based nonlinear regression G model that suggested in this study worked better than linear models suggested in the literature with a better determination coefficient (r2=0.70) and a lower RMS error value (10.8 Wm-2).","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":"1 1","pages":"49-61"},"PeriodicalIF":1.2,"publicationDate":"2019-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90213356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Termo-pluviometric Variability of Val d’Orcia Olive Orchards area (Italy) 意大利Val d 'Orcia橄榄园地区的气候降水变率

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2019-10-06 DOI: 10.13128/IJAM-649

A. Baldi, Giada Brandani, Martina Petralli, A. Messeri, S. Cecchi, R. Vivoli, M. Mancini

{"title":"Termo-pluviometric Variability of Val d’Orcia Olive Orchards area (Italy)","authors":"A. Baldi, Giada Brandani, Martina Petralli, A. Messeri, S. Cecchi, R. Vivoli, M. Mancini","doi":"10.13128/IJAM-649","DOIUrl":"https://doi.org/10.13128/IJAM-649","url":null,"abstract":"In a context of climate change, the knowledge of local meteorological trend and variability is a very useful tool in precision farming for crop production and quality. The aim of this study is to analyze the thermo-pluviometric variability of Val d’Orcia olive orchards area (Tuscany, Italy), a hilly region characterized by a great orographic variability that lacs of historical termo-pluviometric information. In this study trend of thermo-pluviometric indices (TX, TN, TG, FD, RR and GDD) for the period 2012-2017 in three weather station located at different height and orientation in the Val d’Orcia Area are presented. During the study period, yearly extra virgin olive oil (EVO) yield was also analyzed. The variability observed in precipitation confirms the strong influence of topography and atmospheric circulation on local precipitation distribution. While the analysis of thermal regimes and frost days evidence the strong presence of thermal inversion phenomenon in this area. A strong relationship was found between yearly EVO yield and GDD during the vegetative period.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":"24 1","pages":"11-20"},"PeriodicalIF":1.2,"publicationDate":"2019-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86532205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Climate vulnerability of agriculture in statistical regions of Slovenia 斯洛文尼亚统计区域农业的气候脆弱性

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2019-10-06 DOI: 10.13128/IJAM-651

Doroteja Kociper, K. V. Mally, Lučka Kajfež Bogataj

{"title":"Climate vulnerability of agriculture in statistical regions of Slovenia","authors":"Doroteja Kociper, K. V. Mally, Lučka Kajfež Bogataj","doi":"10.13128/IJAM-651","DOIUrl":"https://doi.org/10.13128/IJAM-651","url":null,"abstract":"Climate variability and extreme weather events, especially droughts, floods, storm hazards, low temperatures with frost and heat waves have significant negative effects on agriculture in Slovenia and increase its vulnerability. This study took into account the concept of vulnerability of the International Panel on Climate Change. The index of climate vulnerability of agriculture was developed on the basis of three indicators: exposure (climate variability and extreme weather events), sensitivity (threats due to natural conditions, changes in agriculture, vitality of the population) and adaptive capacity (income, sustainable management and natural resources). Climate vulnerability of agriculture was quantitatively analyzed with vulnerability indicators through the statistical regions of the Republic of Slovenia, and thus contributed to the regionally oriented approaches that seek to answer the challenges of climate vulnerability of agriculture in Slovenia. The results show higher climate vulnerability of agriculture in the western and central Slovenia and lower vulnerability in the eastern and northeastern part of the country.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":"241 1","pages":"35-48"},"PeriodicalIF":1.2,"publicationDate":"2019-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77080241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Soil carbon emissions from maize under different fertilization methods in an extremely dry summer in Italy 意大利极端干旱夏季不同施肥方式下玉米土壤碳排放

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2019-10-06 DOI: 10.13128/IJAM-648

L. Verdi, M. Mancini, M. Napoli, R. Vivoli, A. Pardini, S. Orlandini, A. D. Marta

{"title":"Soil carbon emissions from maize under different fertilization methods in an extremely dry summer in Italy","authors":"L. Verdi, M. Mancini, M. Napoli, R. Vivoli, A. Pardini, S. Orlandini, A. D. Marta","doi":"10.13128/IJAM-648","DOIUrl":"https://doi.org/10.13128/IJAM-648","url":null,"abstract":"During the last decades, climate change and variability are increasingly and negatively affecting agriculture. To ensure satisfactory and stable food production, agriculture is intensifying the adoption of external input with environmental consequences such as the emission of greenhouse gases. In this experiment, we monitored CO2 and CH4 emission dynamics from cultivation of maize for silage grown under different fertilization treatments: (i) liquid fraction of digestate from pig slurries, (ii) urea, and (iii) no fertilization (control), in an extremely dry summer in Central Italy. Results show that the use of the liquid-organic fertilizer (digestate) significantly increased CO2 emissions from soil (685.29 kg-C ha-1) compared to the conventional fertilizer (urea) (391.60 kg-C ha-1). However, CH4 emissions were comparable between the two fertilizers and almost negligible compared to those of CO2. In both treatments CH4 emissions were enhanced by the only precipitation event, coupled with an increase of air temperature. Effectiveness of tested fertilizers was assessed through a yield analysis, and proved that digestate may represent a viable alternative to urea (6.97 and 6.48 t ha-1). Nevertheless, considering CO2 emissions from digestate and the numerous passes in field needed for its spreading, the use of this fertilizer in extreme dry conditions requires specific considerations.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":"27 1","pages":"3-10"},"PeriodicalIF":1.2,"publicationDate":"2019-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86967531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Assessment of different methods for simulating actual evapotranspiration in a semi-arid environment 半干旱环境下不同蒸散模拟方法的评价

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2019-10-06 DOI: 10.13128/IJAM-650

Basma Latrech, H. Ghazouani, Asma Lasram, B. M’hamdi, M. Mansour, A. Boujelben

{"title":"Assessment of different methods for simulating actual evapotranspiration in a semi-arid environment","authors":"Basma Latrech, H. Ghazouani, Asma Lasram, B. M’hamdi, M. Mansour, A. Boujelben","doi":"10.13128/IJAM-650","DOIUrl":"https://doi.org/10.13128/IJAM-650","url":null,"abstract":"Field experiment was carried out to examine the effects of full and deficit irrigation treatments on yield and irrigation water productivity of potato crop conducted under semi-arid conditions of Tunisia. In addition, the accuracy of different models for computing daily ET0 have been assessed against the standardized FAO 56-Penman Monteith estimations. An application of the FAO-56 dual approach to calculate actual evapotranspiration (ETa) is reported, implemented by means of the FAO-56 model. The obtained daily values of ET0, were used as input in the FAO-56 model, in order to assess their impact on simulated actual evapotranspiration of potato crop. The obtained results indicate that potato yield decrease significantly with decreasing irrigation amount. However, no significant difference was obtained in term of WPirrig. Comparison between the different ET0 methods against the FAO-56 PM, revealed that the Makkink and Priestley-Taylor models might be considered as efficient alternatives for estimating ET0. Furthermore, the simulated actual evapotranspiration are compared with their corresponding obtained by the water balance method. The statistical results of comparison highlighted that the best performances are accorded to the FAO-56 PM. More detailed analysis, evidenced also that the Hargreaves-Samani, Pristley-Taylor and Makkink approaches can be used as valid alternatives for estimating ETa.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":"39 1","pages":"21-34"},"PeriodicalIF":1.2,"publicationDate":"2019-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89060930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of drought and nitrogen fertilisation on quinoa (Chenopodium quinoa Willd.) under field conditions in Burkina Faso 干旱和氮肥对布基纳法索田间条件下藜麦(藜麦野生)的影响

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2019-06-03 DOI: 10.13128/IJAM-289

J. Alvar-Beltrán, C. Saturnin, A. Dao, A. D. Marta, J. Sanou, S. Orlandini

引用次数: 21

How can policy influence innovation: An exploration of climate-smart activities in Emilia-Romagna 政策如何影响创新:艾米利亚-罗马涅气候智慧型活动的探索

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2019-06-03 DOI: 10.13128/IJAM-288

C. Chieco, Federica Rossi, Slaven Tadić

{"title":"How can policy influence innovation: An exploration of climate-smart activities in Emilia-Romagna","authors":"C. Chieco, Federica Rossi, Slaven Tadić","doi":"10.13128/IJAM-288","DOIUrl":"https://doi.org/10.13128/IJAM-288","url":null,"abstract":"Climate change is one of the main issues in agriculture. Considering its involvement in the global anthropogenic emissions (GHG) it is no wonder that research is devising ways on how to reduce such effects. A solution to such problems is climate-smart agriculture (CSA). In this paper, we analysed which are the main opportunities granted by agricultural policies when aimed at sustaining innovative agricultural models. A review of the ongoing 93 Rural Development Projects (RDPs) uncovered potential climate-smart solutions for the identified potential threats. The Ministry of Agriculture, Hunting and Fishing of the Region of Emilia-Romagna in Italy has given importance to RDPs to innovate the agricultural sector through policy measures. We analysed an Operational Group (OG) project as an overview of the work. In the case of Emilia-Romagna, the amount of innovation and solutions that can be achieved if policies invest in CSA is very clear. Emilia-Romagna is on the forefront of technological and practical advancements in the EU by implementing CSA as one of the primary solutions to the aforementioned problems and will continuously work on transitioning its agricultural practices to fight climate change.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":"26 1","pages":"25-31"},"PeriodicalIF":1.2,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76809833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3