scholarly journals The Effect of Climate Change on Spring Maize (Zea mays L.) Suitability across China

2018 ◽  
Vol 10 (10) ◽  
pp. 3804 ◽  
Author(s):  
Yuhe Ji ◽  
Guangsheng Zhou ◽  
Qijin He ◽  
Lixia Wang

Spring maize (Zea mays L.) is a thermophilic C4 crop which is sensitive to climate change. This paper provides a detailed assessment of the effect of climate change on the crop from a new perspective, by predicting the probability of the potential distribution of spring maize across China. The affected area of spring maize suitability was identified, and then the affected area was subdivided into the improved area and the deteriorated area. Our results confirmed that there was a detrimental consequence for spring maize suitability under observed climate change from 1961–1990 to 1981–2010. However, our results revealed that warming scenarios of 1.5 °C and 2 °C were helpful for the suitable area expansion of spring maize. The affected area was smaller under warming scenarios than under historical climate change, revealing that temperature rise alone was not enough to trigger a “tipping point” (a threshold value after which abrupt shifts occur) for spring maize, even if warming is 2 °C above the level of 1961–1990. Our results not only benefit China in the design of mitigation and adaptation strategies, but also provide a theoretical judgement that the impact of global warming on the crop ecosystem is not serious if other climate factors remain unchanged.

2020 ◽  
Vol 53 (2) ◽  
Author(s):  
Muhammad Mubeen ◽  
Asghari Bano ◽  
Barkat Ali ◽  
Zia Ul Islam ◽  
Ashfaq Ahmad ◽  
...  

2021 ◽  
Author(s):  
luis Augusto sanabria ◽  
Xuerong Qin ◽  
Jin Li ◽  
Robert Peter Cechet

Abstract Most climatic models show that climate change affects natural perils' frequency and severity. Quantifying the impact of future climate conditions on natural hazard is essential for mitigation and adaptation planning. One crucial factor to consider when using climate simulations projections is the inherent systematic differences (bias) of the modelled data compared with observations. This bias can originate from the modelling process, the techniques used for downscaling of results, and the ensembles' intrinsic variability. Analysis of climate simulations has shown that the biases associated with these data types can be significant. Hence, it is often necessary to correct the bias before the data can be reliably used for further analysis. Natural perils are often associated with extreme climatic conditions. Analysing trends in the tail end of distributions are already complicated because noise is much more prominent than that in the mean climate. The bias of the simulations can introduce significant errors in practical applications. In this paper, we present a methodology for bias correction of climate simulated data. The technique corrects the bias in both the body and the tail of the distribution (extreme values). As an illustration, maps of the 50 and 100-year Return Period of climate simulated Forest Fire Danger Index (FFDI) in Australia are presented and compared against the corresponding observation-based maps. The results show that the algorithm can substantially improve the calculation of simulation-based Return Periods. Forthcoming work will focus on the impact of climate change on these Return Periods considering future climate conditions.


2017 ◽  
Vol 72 (3) ◽  
pp. 191-204 ◽  
Author(s):  
E.D.v.L. Maas ◽  
R. Lal ◽  
K. Coleman ◽  
A. Montenegro ◽  
W.A. Dick

2014 ◽  
Vol 12 (1) ◽  
pp. 26-32 ◽  
Author(s):  
A Bhatnagar ◽  
MS Pal

A field experiment was conducted for two years (2007 and 2008) at the G. B. Pant University of Agriculture and Technology, Pantnagar, to study the productivity, biological efficiency and economics of intercropping in spring maize (Zea mays L.) with sunflower (Helianthus annuus L.) and urdbean (Vigna mungo L.) under different spatial arrangements. The experiment consisting of ten treatments i.e. three sole crops (maize, sunflower and urdbean), six replacement intercropping system of maize with each sunflower and urdbean in row ratios of 1:1, 2:1 and 3:1 and one additive intercropping system of maize with urdbean in row ratios of 1+1 was laid out in randomized block design with three replications. The intercropping system of maize with urdbean in row ratio (1+1) was found beneficial over sole cropping of maize and gave the maximum maize-equivalent yield (5847 kg ha-1), land-equivalent ratio (1.36) and net return (Rs.13420 ha-1). Intercropping of maize in replacement arrangement was not productive and advantageous than respective sole crops. DOI: http://dx.doi.org/10.3329/sja.v12i1.21110 SAARC J. Agri., 12(1): 26-32 (2014)


Author(s):  
Never Mujere

Concerns of food and environmental security have increased enormously in recent years due to the vagaries of climate change and variability. Efforts to promote food security and environmental sustainability often reinforce each other and enable farmers to adapt to and mitigate the impact of climate change and other stresses. Some of these efforts are based on appropriate technologies and practices that restore natural ecosystems and improve the resilience of farming systems, thus enhancing food security. Climate smart agriculture (CSA) principles, for example, translate into a number of locally-devised and applied practices that work simultaneously through contextualised crop-soil-water-nutrient-pest-ecosystem management at a variety of scales. The purpose of this paper is to review concisely the current state-of-the-art literature and ascertain the potential of the Pfumvudza concept to enhance household food security, climate change mitigation and adaptation as it is promoted in Zimbabwe. The study relied heavily on data from print and electronic media. Datasets pertaining to carbon, nitrous oxide and methane storage in soils and crop yield under zero tillage and conventional tillage were compiled. Findings show that, compared to conventional farming, Pfumvudza has great potential to contribute towards household food security and reducing carbon emissions if implemented following the stipulated recommendations. These include among others, adequate land preparation and timely planting and acquiring inputs. However, nitrous oxide emissions tend to increase with reduced tillage and, the use of artificial fertilizers, pesticides and herbicides is environmentally unfriendly.


Author(s):  
M. L. Bubarai U. Bapetel ◽  
A. Musa Mala

At the SHUATS Department of Soil Science and Agricultural Chemistry Research Farm, an experiment was conducted with the goal of determining the impact of application of macro and micronutrients, on soil health nutrients concentration and uptake by maize (Zea mays L). The experiment was put up based on this over a two-year period, beginning with the 2017 and 2018 cropping periods. Crbd was used as the experimental technique and it was replicated thrice with the following treatments combinations, NPK @ 50 and 100kgha -1, while for the micronutrients (Boron, Zinc and Copper) three levels of combination were used 0.3, 6 and 9kgha-1. The research project's findings showed all the determinants of soil health like soil reaction organic matter among others are at levels suitable for nutrients actions and plant growth, while plant parameters like maize cob diameter, dry matter, and nutrients concentrations in maize tissues have greatly improved. NPK @100kgha-1, Copper, Zinc, and Boron @ 9kgha-1 were the best treatment combinations with the best results. The above combinations of treatments will be suitable for the soils of that location based on the results of these studies.


2019 ◽  
Vol 11 (21) ◽  
pp. 5918
Author(s):  
Gianoli ◽  
Bhatnagar

The impact of climate change dynamics has a multiplicative effect when the interlinkages between water and energy are considered. This also applies to climate change co-benefits that derive from adaptation and mitigation initiatives implemented at the urban level and that address the water-energy nexus. A better understanding of the water-energy nexus is a precondition for integrated resource planning that optimizes the use of scarce resources. Against this background, the paper assesses the potential impact of water-energy saving technologies (WEST) on the water-energy nexus of Cuenca, Ecuador, focusing on how vulnerability to climate change may affect the water metabolic cycle of the urban area. Water-energy saving technologies such as rainwater harvesting, solar water heaters, and micro water turbines, reduce water-related energy consumption and mitigate greenhouse gases emissions; thereby illustrating the potential to generate climate change mitigation and adaptation co-benefits. The paper relies on primary data collected through interviews and a survey as well as secondary data in order to assess the extent to which water-energy saving technologies influence the water-energy nexus in Cuenca’s urban water metabolic cycle. Within the context of climate change, the paper develops a business-as-usual scenario and assesses how this is modified by the implementation of water-energy saving technologies.


Sign in / Sign up

Export Citation Format

Share Document