The link between smallholders’ perception of climatic changes and adaptation in Tanzania

Brüssow, Kathleen; Gornott, Christoph; Faße, Anja; Grote, Ulrike

doi:10.1007/s10584-019-02581-9

Cited by 23 publications

(29 citation statements)

References 27 publications

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“…It is assumed that farmers in Dodoma diversify their production activities more than farmers in Morogoro, probably as a risk management strategy because they face a drier climate. It is also documented in a previous study that crop diversification is generally being practiced by farmers in the study regions as an adaption strategy against climate change (Brüssow et al, 2019). The household and farm characteristics across the two survey waves are comparable in many of the variables used in our analysis, except the variable representing the household nonagricultural income and the variable representing the proportion of households participating in collecting food products from public resources.…”

Section: Descriptive Statisticsmentioning

confidence: 56%

Farm Production Diversity and Household Dietary Diversity: Panel Data Evidence From Rural Households in Tanzania

Habtemariam

Gornott

Hoffmann

et al. 2021

Front. Sustain. Food Syst.

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Evidence on whether diversifying farm production leads to improved household dietary diversity and nutrition remains inconclusive. Existing studies analyzing the link between production diversity and dietary diversity are mainly based on cross-sectional methods, which could be biased by omitted confounding factors. Using two waves of a panel household survey of 900 rural households in Tanzania, this paper examines the link between production diversity and dietary diversity, while minimizing potential confounding effects. We estimate four regression models with two different production diversity measures and two panel estimation methods—fixed effect (FE) and random effect (RE). In three out of the four models, production diversity is significantly and positively associated with the dietary diversity measure of the food consumption score. The production diversity indicator is represented by the total crop and livestock species count, as well as by counting only crop species. The total crop and livestock species count shows a significant positive association with dietary diversity across estimation methods while the positive association with crop species count is not significant in the FE method. Our results suggest that the selection of appropriate production diversity indicators tailored to the specific circumstances of the local agricultural system is likely one key factor in identifying a robust relationship between production diversity and dietary diversity.

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Section: Descriptive Statisticsmentioning

confidence: 56%

Farm Production Diversity and Household Dietary Diversity: Panel Data Evidence From Rural Households in Tanzania

Habtemariam

Gornott

Hoffmann

et al. 2021

Front. Sustain. Food Syst.

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“…Analysing observed temperatures from thirty-two meteorological stations over thirty years (Jain, 2007) showed that temperature increase in Zambia were ten-times higher than both the average global temperature increase and even the projected increase for southern Africa. This increase in temperatures will enhance potential evapotranspiration and corresponding crop water demand (Brüssow et al, 2019;Parent and Tardieu, 2012), more so if the available precipitation is not su cient to counter this demand (Déqué et al, 2017). Temperature changes are projected to be stronger westwards corresponding with the expected trend in the southwestern region of the southern African subcontinent due to warming in the Indian ocean (Engelbrecht et al, 2015;Maúre et al, 2018).…”

Section: Expected Precipitation and Temperature Changes And Its Implimentioning

confidence: 99%

“…This trend of yield change coupled with the precipitation analyses indicates that most of the future maize yield reduction in Zambia can be largely attributed to change in temperature. This increase in temperature would also increase water demand by crops (Brüssow et al, 2019). Hence, the threat of crop failure increases especially when the increase in temperature is not compensated with an increase in precipitation (Déqué et al, 2017).…”

Section: Expected Climate Change Impacts On Maize Yieldmentioning

confidence: 99%

“…Firstly, this generates region speci c knowledge for policy and adaptation measures or priorities in relation to crop and climate change (Challinor et al, 2009;Leng, 2017). For instance, agronomic management such as planting dates, varieties selection, irrigation and residue management have been evaluated as climate change adaptation measures in speci c regions (Brüssow et al, 2019;Challinor et al, 2014;Karapinar and Özertan, 2020;Shi et al, 2019). Secondly, insight in the impacts of climate change on water limited yield is also relevant as it is often used to derive rainfed target yield levels (mostly set at 80% of Yw) for use in fertilizer recommendations (Sherene et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…In addition to nutrient management, it is also important to evaluate the possible adaptation options such as altering planting dates, varieties, fertilizer application, irrigation and other agronomic management practices, given their potential to counteract climate induced changes in crop yield (Brüssow et al, 2019;Challinor et al, 2014;Knox et al, 2012;Shi et al, 2019). Temperatures and precipitation changes in the short-term can be mitigated by adjusting planting dates and switching varieties as adaption (Liu et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Climate change impacts on rainfed maize yields in Zambia under conventional and optimized crop management

Siatwiinda

Supit

Hove

et al. 2021

Preprint

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Maize production in Zambia is characterized by significant yield gaps attributed to nutrient management and climate change threatens to widen these gaps unless agronomic management is optimized. Insights in the impacts of climate change on maize yields and the potential to mitigate negative impacts by crop management is currently lacking for Zambia. Using five Global Circulation models and the WOFOST crop model, we assessed expected climate change and the impacts on maize yields at a 0.5° × 0.5° spatial resolution for RCP 4.5 and RCP 8.5 scenarios. Impacts were assessed for two future periods (i.e. near future: 2035–2066 and far future: 2065–2096) in comparison with a reference period (1971–2001). The average surface temperature and summer days (above 30°C) are projected to increase strongly in the southern and western regions. Precipitation is expected to decline, except in the northern regions while the number of wet days decline everywhere, indicating a shortening growing season. The risk of crop failure in western and southern regions increases due to dry spells and heat stress while crops in the northern regions will be threatened by flooding or waterlogging due to heavy precipitation. The simulated decline in the water limited and water- and nutrient- limited maize yields varied from ca 15–20% in the near future and from ca 20–40% in the far future, mainly due to the expected temperature increases. Optimizing management by adjusting planting dates and maize varieties can counteract these impacts by 6–29%. Quantitatively, the existing gaps between water limited yields and nutrient limited maize yields are substantially larger than the expected yield decline due to climate change. Improved nutrient management is therefore crucial to avoid crop yield decline and might even increase crop yields in Zambia.

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The contribution of smallholders' livelihood activities on income inequality and poverty: Case study from rural Tanzania

Mager,

Faße

2023

J of Intl Development

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This study uses a unique panel dataset on micro data with 786 households over 3 years (2014, 2016 and 2018) at the community level in Tanzania, assessing the contribution of different income sources on the changes in income inequality and poverty. The results show that in contrast to other income sources, non‐farm self‐employment is the only source with a constant poverty‐decreasing effect. The inconsistency of the different income sources over time can also be observed for the effects on income inequality. Future research is needed to grasp the effect on inequality in more detail assessing its determinants and causal relationships.

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The link between smallholders’ perception of climatic changes and adaptation in Tanzania

Cited by 23 publications

References 27 publications

Farm Production Diversity and Household Dietary Diversity: Panel Data Evidence From Rural Households in Tanzania

Farm Production Diversity and Household Dietary Diversity: Panel Data Evidence From Rural Households in Tanzania

Climate change impacts on rainfed maize yields in Zambia under conventional and optimized crop management

The contribution of smallholders' livelihood activities on income inequality and poverty: Case study from rural Tanzania

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