Can intercropping stabilize yields in the face of climatic changes?

Author(s):  
Giulia Vico ◽  
Martin Weih ◽  
Herman NC Berghuijs

<p>Intercropping has been proposed as a way to reduce some of the negative consequences of intensive agriculture while maintaining or enhancing crop yields. Not only yields can be increased in intercrops, but they can also be more stable in the face of variable climatic conditions, offering an avenue of climate change adaptation. Nevertheless, exploiting the benefits of intercropping requires determining what the most appropriate members of the plant team are, and matching plant team and management to the local pedoclimatic conditions. Process-based mathematical models can complement field experiments to quantify via numerical simulations the performance of a variety of combinations of plant teams, management, and pedoclimatic conditions. These models are particularly useful when exploring the potential advantages of intercropping under climate change. Here we use the newly developed model M3 (Minimalist Mixture Model; Berghuijs et al, <em>Plant and Soil</em>, 2020) to simulate the biomass and grain yields of pure culture or intercropping systems, as a function of plant traits, management and environmental conditions. Focusing on wheat and faba bean grown in pure culture and intercrop in the Netherlands and Central Sweden, we quantified crop yields and their stability over the period 1951-2100, exploiting modelled climatic data series. We found large interannual variability in yields both on a per unit area and per plant basis, mostly due to the interannual variability in weather conditions. On a per unit area basis, yield differences between crops and cropping systems are consistent under historical and future climatic conditions. However, under future climatic conditions, the yields per plant were lower in faba bean, but not in wheat. Overall, pure cultures benefitted from future climatic conditions, while intercrops appeared to be negatively affected. Moreover, climate change increased yield variability in both crops and cropping systems. Therefore, against expectations, intercropping does not necessarily reduce yield variability with respect to pure culture</p>

2018 ◽  
Vol 10 (8) ◽  
pp. 2665 ◽  
Author(s):  
Kieu N. Le ◽  
Manoj K. Jha ◽  
Jaehak Jeong ◽  
Philip W. Gassman ◽  
Manuel R. Reyes ◽  
...  

Will soil organic carbon (SOC) and yields increase for conservation management systems in tropical zones in response to the next 100 years? To answer the question, the Environmental Policy Integrated Climate (EPIC) model was used to study the effects of climate change, cropping systems, conservation agriculture (CA) and conservation tillage management practices on SOC and crop productivity in Kampong Cham, Cambodia. The EPIC model was successfully calibrated and validated for crop yields, biomass, SOC and nitrogen based on field data from a five-year field experiment. Historical weather (1994–2013) was used for baseline assessment versus mid-century (2046–2064) and late-century (2081–2100) climate projections generated by the Geophysical Fluids Dynamics Laboratory (GFDL) CM2.1 global climate model. The simulated results showed that upland rice yield would increase the most under the B1 scenario in mid-century for all treatments, followed by soybean and maize. Cassava yield only increased under CA treatment when cultivated as a continuous primary crop. Carbon sequestration was more sensitive to cropping systems and crop rotation than climate change. The results indicated that the rotated CA primary crop (maize) systems should be prioritized for SOC sequestration as well as for increasing crop productivity. In addition, rice systems may increase SOC compared to soybean and cassava.


Author(s):  
Jeannette del Carmen Zambrano Nájera ◽  
Oscar Ortega

In Colombia, tobacco cultivation is an important generator of employment and income for farmers; however it faces different problems as low crop yield compared to other countries; specifically, in the north of the country, where the climatic conditions are less favorable and the productivity is lower than other areas of the country due to low mechanization. In order to improve the tobacco yield per hectare in the municipality of Ovejas, this research aimed to determine the water requirements of burley tobacco cultivation under conditions of climate variability to obtain optimal information for crop calendars. Water requirements of burley tobacco were determined using the crop water requirement equation. This calculation ethod was programmed in Python to automate the generation of maps, developing a tool that allowed a detailed analysis per unit area per week. Based on the results obtained, weeks 17 and 18 of the year (last week of April and first week of May, respectively) are proposed as optimal planting times, since the cycles of crops planted in this period showed precipitation surplus in the initial phase of cultivation, which is a critical phase for their development. Climate change simulation showed that crops must be continuously monitored in order to adapt to new weather conditions.


Author(s):  
Tiago Castro Silva ◽  
Lara Gomes Côrtes ◽  
Marinez Ferreira de Siqueira

Protected areas act as pillars on which conservation strategies are built. Besides human activities, global climate changes are an additional concern to species’ conservation. In northeastern Brazil, climate change should lead to a replacement of the current native vegetation by semi-desert vegetation. This study evaluates whether the protected areas of the Caatinga can contribute to the maintenance of suitable climatic conditions for endangered birds over time in the face of global climate changes and land cover change. We used ecological niche models as input layers in a spatial prioritization program, in which stability indices were used to weight the targets. Results predicted that most taxa (18) will have their suitability lowered in the future, and all taxa (23) will have their ecological niche geographically displaced. However, our results showed that the Caatinga’s protected areas system integrated with a set of priority areas can maintain suitable climatic conditions for endangered birds in the face of climate change and land cover change. On average, Caatinga’s protected areas system could protect climatic stability areas at least 1.7 times greater than the scenarios without it. This reinforces the importance of protected areas as a biodiversity conservation strategy. 
  


2021 ◽  
Author(s):  
LUCAS Eduardo OLIVEIRA-APARECIDO ◽  
Alexson Filgueiras Dutra ◽  
Pedro Antonio Lorençone ◽  
Francisco de Alcântara Neto ◽  
João Antonio Lorençon ◽  
...  

Abstract Identify the climatic characterization of a region and its spatial and temporal variation, as well as its changes in the face of climate change events, is essential for agrometeorological studies because they can assist in the planning of strategies that reduce the negative impacts generated in the cultures exposed to critical climatic conditions. Thus, this study aimed to characterize the climatic conditions of the MATOPIBA region and its changes in scenarios of climate change using the classification index of Thornthwaite (1948). Daily time series of rainfall and temperature data in the 1950–1990 period were used, arranged in a 0.25º × 0.25º grid, covering 467 points over the studied region. The data set was used to estimate climatological water balance and climate index Thornthwaite (1948), and obtain the trends climatological according to IPCC (2014) climate change projections, with changes in the average air temperature (+ 1.5°C and − 1.5°C) and precipitation (+ 30% and − 30%). The MATOPIBA region is characterized by its humid, dry subhumid, and Moist subhumid climate, with the rainy seasons, between October and April, and drought, from May to September, well defined. In MATOPIBA climate change scenarios, climatic extreme indices tend to alter the pattern, frequency, and distribution of climate class, which can increase climate risk and impact crop production. Therefore, the results obtained can be used to develop strategies to mitigate the vulnerability of crops to climate change conditions.


Author(s):  
Volodymyr Pepelyaev ◽  
Olexandr Golodnikov ◽  
Nina Golodnikova

Introduction. In the context of global warming, there is an urgent need to adapt the agrarian sector to climate change, which, in particular, provides for an adequate choice of crop structure. For this purpose it is necessary to determine which crops are most adapted to the new climatic conditions and to scientifically substantiate their placement in the territory of Ukraine. The traditional approach to crop selection, which consists in conducting field trials of crop response to climate change, is time consuming. An alternative to this approach is application of the methods of mathematical modeling of crop yields in new climatic conditions. The article proposes to use a more flexible approach, namely, the quantile regression method, for modeling yield dependence on climatic parameters, which allows to determine any quantile of the yield distribution function, rather than only one value (average), as in the case of standard regression. The crop yield model based on quantile regression is developed on the grounds of V.P. Dmitrenko model "Weather-harvest" [8], [9]. The following data are used as inputs: (1) corn yields in the context of several areas of the Ukrainian Forest-Steppe in recent years; (2) information on average monthly temperatures and rainfall in these areas in recent years; forecasts of average monthly air temperatures and rainfall in Ukraine for the nearest (by 2030) and more distant (2031 - 2050) perspectives, which are obtained by experts of the Ukrainian Hydrometeorological Institute [10] - [12]. The purpose of the paper is to develop a mathematical model for estimating crop yields that takes into account the uncertainty, associated with climate change in the near and distant perspectives. Results. Using the developed model, estimates of the quantiles of the corn yield distribution function for the nearest (up to 2030) and for the more distant (2031 - 2050) perspectives are obtained both at the level of the individual (Central) region of Ukraine and at the level of the individual (Ternopil) region. The simulation results indicate that weather conditions forecast in [10] - [12] over the next 30 years will more likely produce good corn yields.


2021 ◽  
Author(s):  
Corey Lesk ◽  
Ethan Coffel ◽  
Jonathan Winter ◽  
Deepak Ray ◽  
Jakob Zscheischler ◽  
...  

<p><strong>Rising air temperatures are a leading risk to global crop production and food security under climate change</strong><strong>. Recent research has emphasized the critical role of moisture availability in regulating crop responses to heat</strong><strong> and the importance of temperature-moisture couplings in the genesis of concurrent hot and dry conditions</strong><strong>. Here, we demonstrate that the heat sensitivity of key global crops is dependent on the local strength of couplings between temperature and moisture in the climate system (namely, the interannual correlations of growing season temperature with evapotransipration and precipitation). Over 1970-2013, maize and soy yields declined more during hotter growing seasons where decreased precipitation and evapotranspiration more strongly accompanied higher temperatures. Based on this historical pattern and a suite of CMIP6 climate model projections, we show that changes in temperature-moisture couplings in response to warming could enhance the heat sensitivity of these crops as temperatures rise, worsening the impact of warming by ~5% on global average. However, these changes will benefit crops in some areas where couplings weaken, and are highly uncertain in others. Our results demonstrate that climate change will impact crops not only through warming, but also through changes in temperature-moisture couplings, which may alter the sensitivity of crop yields to heat as warming proceeds. Robust adaptation of cropping systems will need to consider this underappreciated risk to food production from climate change.</strong></p>


Agriculture ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 509 ◽  
Author(s):  
Antonio Alberto Rodríguez Sousa ◽  
Jesús M. Barandica ◽  
Pedro A. Aguilera ◽  
Alejandro J. Rescia

Olive groves form characteristic Mediterranean socio-ecological landscapes, occupying more than 5 M ha; 2.5 M ha in Spain. In recent decades, traditional extensive management of olive groves has shifted to an intensive regime, with some cases of abandonment. These situations triggered negative environmental and economic externalities that led farmers to adopt increasingly multifunctional management models. From a transdisciplinary perspective, the current state of Spanish olive groves was analyzed, assessing their vulnerability to climate change as one of the main threats to their sustainability. Based on our findings and assuming that by 2050, in the Mediterranean, there will be an increase in temperature of 0.8–2.3 °C and a decrease in rainfall of up to 200 mm per year, a displacement of the distribution area of olive groves is expected towards zones of lower temperature and higher moisture. The predicted climatic conditions would increase evapotranspiration of vegetation and atmospheric CO2 emissions. Moreover, climate change will reduce the chill accumulation in olive groves, altering its flowering, fructification and crop yields. Thus, it is necessary to adopt management models that promote olive grove resilience in face of climate change, ensuring their socio-ecological sustainability.


Climate ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 112
Author(s):  
Kurt Heil ◽  
Sebastian Gerl ◽  
Urs Schmidhalter

Global climate change is predicted to increase temperatures and change the distribution of precipitation. However, there is high uncertainty regarding the regional occurrence and intensity of climate change. Therefore, this work examines the effects of climate parameters on the long-term yields of winter barley and assesses the parameters affecting plant development throughout the year and in specific growth phases. The investigation was carried out in an area with Pleistocene loess, a highly fertile site in Germany. The effect of climate on crop yields was modeled with monthly weather parameters and additional indices such as different drought parameters, heat-related stress, late spring frost, early autumn frost, and precipitation-free periods. Residuals and yield values were treated as dependent variables. The residuals were determined from long-term yield trends using the autoregressive integrated moving average (ARIMA) method. The results indicated that temperature and precipitation are significant in all calculations in all variants, but to a lesser degree when considered as sums or mean values, compared with specific indices (e.g., frost-alternating days, the temperature threshold, the precipitation intensity, rain-free days, the early/late frost index, and the de Martonne–Reichel dryness index). The inter-annual variations in crop yields were mainly determined by the prevailing climatic conditions in winter as well as the transition periods from the warmer season to winter and vice versa. The main winter indices were the temperature threshold, frost-alternating days, and precipitation intensity. During the main growth periods, only the precipitation intensity was significant. These findings can be attributed to the high available field water capacity of this site, which overcomes the need for summer precipitation if the soil water storage is replenished during winter.


2021 ◽  
Vol 13 (4) ◽  
pp. 1965
Author(s):  
Aman Ullah ◽  
Ahmad Nawaz ◽  
Muhammad Farooq ◽  
Kadambot H. M. Siddique

The rice–wheat cropping system is the main food bowl in Asia, feeding billions across the globe. However, the productivity and long-term sustainability of this system are threatened by stagnant crop yields and greenhouse gas emissions from flooded rice production. The negative environmental consequences of excessive nitrogen fertilizer use are further exacerbating the situation, along with the high labor and water requirements of transplanted rice. Residue burning in rice has also severe environmental concerns. Under these circumstances, many farmers in South Asia have shifted from transplanted rice to direct-seeded rice and reported water and labor savings and reduced methane emissions. There is a need for opting the precision agriculture techniques for the sustainable management of nutrients. Allelopathic crops could be useful in the rotation for weed management, the major yield-reducing factor in direct-seeded rice. Legume incorporation might be a viable option for improving soil health. As governments in South Asia have imposed a strict ban on the burning of rice residues, the use of rice-specific harvesters might be a pragmatic option to manage rice residues with yield and premium advantage. However, the soil/climatic conditions and farmer socio-economic conditions must be considered while promoting these technologies in rice-wheat system in South Asia.


Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 356
Author(s):  
Francesco Reyes ◽  
Marie Gosme ◽  
Kevin J. Wolz ◽  
Isabelle Lecomte ◽  
Christian Dupraz

Introduction: Climate change (CC) and the increased occurrence of extreme climatic events pose a serious threat to crop yields and their stability worldwide. This study analyzed the CC mitigation potential of an alley cropping system on crop physiological stresses and growth as compared to a monoculture system. Materials and Methods: Growth of winter durum wheat, cultivated alone (agriculture) and in combination with hybrid walnut (agroforestry), was simulated with the Hi-sAFe agroforestry model, as driven by business-as-usual Intergovernmental Panel on Climate Change (IPCC) projections, split into three scenarios, representing Past (1951–1990), Present (1991–2030), and Future (2031–2070) climatic conditions. Crop growth and the occurrence of thermal, nitrogen, and water stresses were analyzed. Results: Cold-related stresses were modest in Past and almost disappeared over time. Heat, drought, and nitrogen stresses increased about twofold from Past to Future, but were reduced by 20–35% in agroforestry, already with medium-sized trees (diameter at breast height (DBH) of about 10–15 cm). Crop yields in agriculture increased from Past to the end of Present and then remained stable. This moderately decreased with tree age in agroforestry (especially in Future). Discussion: The impact of CC on the crop was buffered in agroforestry, especially for the most extreme climatic events. The mitigation of crop microclimate and the increased stability of crop yields highlight the potential of agroforestry as a CC adaptation strategy.


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