Impact of climate change on agricultural productivity under rainfed conditions in Cameroon—A method to improve attainable crop yields by planting date adaptations

Laux, Patrick; Jäckel, Greta; Tingem, Richard Munang; Kunstmann, Harald

doi:10.1016/j.agrformet.2010.05.008

Cited by 151 publications

(85 citation statements)

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“…The Kotera et al (2014) model estimates the sowing date based on the suitability of the land for crops given any flooding, saltwater intrusion, or erratic monsoon rains; these are important factors for the water resources of the VMD region. Alternatively, Laux et al (2008Laux et al ( , 2010 use a fuzzy-logic-based algorithm developed to estimate the onset of the rainy season in order to examine the impact of the planting date for the SSA. In the General Large Area Model (GLAM; Challinor et al, 2004a), the sowing date can be estimated by the model based on the soil moisture conditions, with the crop sown when surface soil moisture exceeds a specified threshold during a given time window and crop emergence occurring at a specified time after sowing.…”

Section: Introductionmentioning

confidence: 99%

Estimating sowing and harvest dates based on the Asian summer monsoon

et al. 2018

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Abstract. Sowing and harvest dates are a significant source of uncertainty within crop models, especially for regions where high-resolution data are unavailable or, as is the case in future climate runs, where no data are available at all. Global datasets are not always able to distinguish when wheat is grown in tropical and subtropical regions, and they are also often coarse in resolution. South Asia is one such region where large spatial variation means higher-resolution datasets are needed, together with greater clarity for the timing of the main wheat growing season. Agriculture in South Asia is closely associated with the dominating climatological phenomenon, the Asian summer monsoon (ASM). Rice and wheat are two highly important crops for the region, with rice being mainly cultivated in the wet season during the summer monsoon months and wheat during the dry winter. We present a method for estimating the crop sowing and harvest dates for rice and wheat using the ASM onset and retreat. The aim of this method is to provide a more accurate alternative to the global datasets of cropping calendars than is currently available and generate more representative inputs for climate impact assessments.We first demonstrate that there is skill in the model prediction of monsoon onset and retreat for two downscaled general circulation models (GCMs) by comparing modelled precipitation with observations. We then calculate and apply sowing and harvest rules for rice and wheat for each simulation to climatological estimates of the monsoon onset and retreat for a present day period. We show that this method reproduces the present day sowing and harvest dates for most parts of India. The application of the method to two future simulations demonstrates that the estimated sowing and harvest dates are successfully modified to ensure that the growing season remains consistent with the internal model climate. The study therefore provides a useful way of modelling potential growing season adaptations to changes in future climate.

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Section: Introductionmentioning

confidence: 99%

Estimating sowing and harvest dates based on the Asian summer monsoon

et al. 2018

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“…In addition, some simulation studies performed in Cameroon indicate that crop yields of maize and groundnut with an optimal planting date are usually higher than yields obtained using traditional ones under climate change (Laux et al 2010;Tingem et al 2009). This is in agreement with Waha et al (2013), as the adaptation of sowing dates in this latter study usually resulted in higher crop productivity in most regions and cropping systems of sub-Saharan Africa.…”

Section: Resultsmentioning

confidence: 99%

Building Resilience to Drought in the Sahel by Early Risk Identification and Advices

Vignaroli

2017

Renewing Local Planning to Face Climate Change in the Tropics

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Agriculture in the Sahel region is characterized by traditional techniques and is strongly dependent on climatic conditions and rainfall. As a consequence of recurrent droughts in East and West Africa, integrated famine Early Warning Systems (EWS) have been established in order to produce and disseminate coherent and integrated information for prevention and management of food crises. Since the early 1990s, analysis tools and simulation models based on satellite meteorological data have been developed to support Multidisciplinary Working Groups (MWG) in cropping season monitoring. However, many of these tools are now obsolete from the IT perspective or ineffective due to unavailability of regularly updated meteorological data. To ensure a long-term sustainability of operational systems for drought risk zones identification CNR-IBIMET has developed 4Crop, a coherent Open Source web-based Spatial Data Infrastructure to treat all input and output data in an interoperable, platform-independent and uniform way. The 4Crop system has been conceived as a multipurpose tool in order to provide different categories of stakeholder, from farmers to policy makers, with effective and useful information for climate risk reduction and drought resilience improvement. Advice to farmers is a fundamental component of prevention that can allow a better adaptation of traditional cropping systems to climatic variability. Past experiences show that agro-meteorological information and weather forecasts can play a key role for food security, reducing the vulnerability of farmers, strengthening rural production systems and increasing crop yields. A participatory and cross-disciplinary approach is essential to build farmers' trust and to develop effective integration between scientific and local knowledge to increase the rate of dissemination and utilization of advice.

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“…5). Conversely, some studies (Duku et al 2016;Laux et al 2010;Cammarano et al 2016;Odekunle et al 2007;Deryng et al 2014) have noted impacts of climate change on crop yields under rain-fed conditions. These studies discovered that the onset of the rainy season is the most important variable for crop production.…”

Section: Discussionmentioning

confidence: 99%

Climate variability/change and attitude to adaptation technologies: a pilot study among selected rural farmers’ communities in Nigeria

2017

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Understanding climate variability and change is essential for designing adaptation policies and strategies to deal with the impacts of climate change on the agricultural sector. This Paper aims at assessing climate variability/change, the perception of rural farmers on climate change and preferred adaptation strategies among the farmers in some selected farming communities in Nigeria. The study thus used both meteorology data and social survey, to examine variability/change in climate and factors determining the adaptation techniques adopts by rural farmers. The results show a relatively uniform temperatures and some seasonal variations in recent years (diurnal range of temperature is about 10°C) but the rainfall shows much more seasonal variations. The rainfall has relatively undeviating trend from 1981 to 1996 but the trend appears to be upwards from the year 1997 to 2010. About 72.8% participants responded in the affirmative that climate is changing but there appears to be a significant relationship between the length of farming experiences and farmers' perceptions of climate change adaptation techniques. Water-related (about 53%) and nutrient related (about 52%) technologies appear to have a high preference among the farmers. The major driver that determines farmers' preference for climate change adaptation techniques is their incomes and experiences.

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Impact of climate change on agricultural productivity under rainfed conditions in Cameroon—A method to improve attainable crop yields by planting date adaptations

Cited by 151 publications

References 50 publications

Estimating sowing and harvest dates based on the Asian summer monsoon

Estimating sowing and harvest dates based on the Asian summer monsoon

Building Resilience to Drought in the Sahel by Early Risk Identification and Advices

Climate variability/change and attitude to adaptation technologies: a pilot study among selected rural farmers’ communities in Nigeria

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