Climate Research最新文献_第9页

Climate resilience of irrigated quinoa in semi-arid West Africa 半干旱西非灌溉藜麦的气候适应能力

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/CR01660

J. Alvar-Beltrán, A. Gobin, S. Orlandini, A. Dao, A. D. Marta

{"title":"Climate resilience of irrigated quinoa in semi-arid West Africa","authors":"J. Alvar-Beltrán, A. Gobin, S. Orlandini, A. Dao, A. D. Marta","doi":"10.3354/CR01660","DOIUrl":"https://doi.org/10.3354/CR01660","url":null,"abstract":"Quinoa (Chenopodium quinoa Willd.) is a herbaceous C3 crop that has demonstrated resilience in regions concurrently affected by climate change and food insecurity, such as sub-Saharan Africa (SSA). The photosynthetic rate and productivity of C3 crops are enhanced under increasing CO2 concentrations. We looked at future climate trends in SSA to estimate their impacts on quinoa yields in Burkina Faso. Climate projections show a temperature increase of 1.67-4.90°C under Representative Concentration Pathways (RCP) 4.5 and 8.5, respectively by the end of the century. We demonstrate that any further climate disturbances can either be beneficial or harmful for quinoa, and modulating climate risks will depend on the decisions made at the farm level (e.g. planting date and crop choice). Crop modelling supports the identification of the most suitable transplanting dates based on future climate conditions (RCP 4.5 and 8.5), agroclimatic zones (Sahel, Soudano-Sahelian and Soudanian) and time-horizons (2020, 2025, 2050 and 2075). We show that quinoa yields can improve—when grown under irrigated conditions and transplanted in November—by about 14-20% under RCP 4.5 and by 24-33% under RCP 8.5 by 2075 across the Sahel and Soudanian agroclimatic zones, respectively. For the Soudano-Sahelian zone, the highest yield improvements (19%) are obtained when transplanting is assumed in December under RCP 8.5 by 2075. Overall, the findings of this work encourage policymakers and agricultural extension officers to further promote climate-resilient and highly nutritious crops. Such possibilities are of much interest in SSA, thought to be highly vulnerable to climate change impacts where millions of people are already experiencing food insecurity.","PeriodicalId":10438,"journal":{"name":"Climate Research","volume":"10 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74032169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The recently suggested absence of an internal multidecadal oscillation in the North Atlantic has consequences for anticipating the future of marine ecosystems 最近提出的北大西洋内部不存在多年代际振荡的观点，对预测海洋生态系统的未来具有重要意义

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/cr01676

G. Beaugrand, R. Faillettaz, R. Kirby

引用次数: 0

Low impact of ﬁrst-time spawners on population growth in a brown trout population 首次产卵者对褐鳟种群增长的影响较小

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/CR01645

MW Stubberud, CR Nater, Y. Vindenes, L. Vøllestad, Ø. Langangen

{"title":"Low impact of ﬁrst-time spawners on population growth in a brown trout population","authors":"MW Stubberud, CR Nater, Y. Vindenes, L. Vøllestad, Ø. Langangen","doi":"10.3354/CR01645","DOIUrl":"https://doi.org/10.3354/CR01645","url":null,"abstract":"For species with individual variation in reproductive success, experience in breeding and the distribution of diﬀerent breeders is important for population productivity and viability. Human impacts, such as climate change and harvesting, can alter this distribution and thus population dynamics. Here, we investigated the eﬀect of spawning experience on population growth in a population of migratory brown trout Salmo trutta subject to stressors including migration barriers, harvesting, and climate change. We described the population dynamics with a structured integral projection model that diﬀerentiates between ﬁrst-time and repeat spawners. We then took a scenario-based approach to test to which extent spawning experience has a positive eﬀect on the population growth of brown trout by running 3 diﬀerent model simulations: a baseline scenario with no changes to the reproductive output of the population, a non-selective scenario in which the reproductive output of all spawners was reduced, and a selective scenario where the reproductive output of only ﬁrst-time spawners was reduced. We found that the reproductive output of repeat spawners is more important than that of ﬁrst-time spawners for population growth, in line with other studies. Moreover, the contribution of ﬁrst-time spawners to the population growth through their own survival is more important than their contribution to growth through reproduction. To ensure the continued existence of the study population, survival of ﬁrst-time spawners and reproductive success of repeat spawners should be prioritised. More generally, including breeding experience adds more mechanistic detail, which ultimately can aid management and conservation eﬀorts.","PeriodicalId":10438,"journal":{"name":"Climate Research","volume":"27 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72515817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Climate change-sustainable agriculture-farm livelihood nexus: contextualizing climate smart agriculture 气候变化-可持续农业-农场生计关系:气候智能型农业的背景

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/CR01648

U. Das, Md. Hasan Raza Ansari

引用次数: 10

The influence of summer great cyclones on sea ice concentration and area in the Arctic Ocean 夏季大气旋对北冰洋海冰浓度和面积的影响

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/cr01662

H. Li, Q. Zhu, C. Ke, D. Wang, X. Shen

引用次数: 0

Mediterranean Contemporary Winter and Summer Air Mass Climatology with respect to Temperature and Moisture Flux 地中海当代冬季和夏季气团气候学与温度和湿度通量有关

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/cr01664

S. Şahin

引用次数: 0

Spatiotemporal variation of erosive rainfall and its influence on sediment discharge in the Ganjiang River Basin 赣江流域侵蚀性降雨时空变化及其对输沙量的影响

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/cr01667

Lp Guo, XL（陈西良） Chen, K. Liao, Y. He, Th Zheng, XF Nie, BS Xu, Lc Zhang, Z. Luo

引用次数: 1

Intercomparison of statistical downscaling models: a case study of a large-scale river basin 统计降尺度模型的相互比较:以大尺度流域为例

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/CR01642

P. Loganathan, Abhishek Mahindrakar

{"title":"Intercomparison of statistical downscaling models: a case study of a large-scale river basin","authors":"P. Loganathan, Abhishek Mahindrakar","doi":"10.3354/CR01642","DOIUrl":"https://doi.org/10.3354/CR01642","url":null,"abstract":"Climate change assessment at a local scale requires downscaling of general circulation models (GCMs) using various approaches. In this study, statistical downscaling using established machine learning techniques is compared with the proposed extreme gradient boosting decision tree (EXGBDT) technique. The Cauvery river basin in southern peninsular India, which is known for its frequent droughts and floods, was considered in this study. The ACCESS 1.0 CMIP5 historical GCM simulation was used for downscaling the local climate with the help of daily observation data from 35 stations located in the study zone. An intercomparison of model performance in predicting daily weather variables such as precipitation and average, maximum, and minimum temperatures over the upper, middle, and lower Cauvery river basin was performed. The findings show that mean-variance is around 15% and bias is negligible for the proposed EXGBDT model, which is better than other models under consideration. The NSE and R2 values range from 0.75-0.85 for both training and testing periods. The intercomparison of monthly mean values of observed and downscaled data for different sub-basins and parameters suggests higher model efficiency. The lower variance observed in the comparison of CLIMDEX indices suggests that the EXGBDT model performance is better in representing the local climatic condition.","PeriodicalId":10438,"journal":{"name":"Climate Research","volume":"65 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91162683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Spatiotemporal and physiographic relationship between MODIS land surface temperature and air temperature over Iran 伊朗上空MODIS地表温度与气温的时空地理关系

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/cr01686

M. Moradi, M. Darand

引用次数: 1

Projections of wind power density in Pakistan and adjacent regions 巴基斯坦及邻近地区风力发电密度预测

IF 1.1 4区地球科学

Climate Research Pub Date : 2021-01-01 DOI: 10.3354/cr01679

M. Reboita, RS Kiani, Sajid Ali, T. Khan

引用次数: 3