The smallholder sector is vulnerable to climate change due to its reliance on rainfed agriculture and has the least ability to adapt. Based on appropriate weather forecasts, farmers can mitigate and adapt to climate change through sound crop management decisions. A study was conducted to explore indigenous knowledge system (IKS) weather forecasts as a climate change adaptation strategy in smallholder farming systems of Zimbabwe. Eighty six farmers from three agro-ecological regions with different agricultural potential and cultural backgrounds were involved in the study. Questionnaires and focus group discussions were used to collect data on climate change perceptions, access and interpretation of meteorological forecasts and IKS weather indicators and their use in crop production. Most farmers (93%) believed that there is climate change, citing low rainfall, late rains and rising temperatures as some of the indicators. Sixty five percent of farmers had access to and can interpret the meteorological forecasts disseminated through print and electronic media, though arguing that the forecasts are not timely disseminated. Sixty seven percent of the respondents were using IKS weather indicators such as wild fruits, trees, worms and wind for predicting seasonal quality in addition to meteorological forecasts. Basing on IKS forecasts, farmers are changing varieties, staggering planting dates, varying fertilizer rates and cropping land area. The study showed that IKS forecasts indicators are different in the three agro-ecological regions, are being used by farmers in making farming decisions and if properly documented, disseminated and integrated with scientific seasonal climate forecasts can be used as a climate change adaptation strategy.
Washbay effluents have received scant attention as a potential source of water pollution globally. This study is the first to investigate the potential impact of the total wash bay effluent content released into river water in Africa. We investigated the potential ramifications of wash bay effluxent released off Charter Estates, Chimanimani in the Eastern Highlands of Zimbabwe on the water quality of the receiving subtropical Nyahode River by measuring selected water limnochemical aspects which included biological oxygen demand (BOD), chemical oxygen demand (COD), oil and grease, pH, sulphates, phosphates, iron, total suspended solids (TSS), dissolved oxygen (DO) and electrical conductivity (EC) once every 3 months from October 2011 to July 2012. The obtained mean levels of the limnochemical parameters from the Nyahode River were compared to the local Environmental Management Agency (EMA) and international World Health Organisation (WHO) effluent standards. Our results show that the control point and the off effluent discharge source downstream points in the Nyahode River had water quality parameters that were below the local EMA and WHO water quality threshold values. Cluster analysis showed a strong linkage in the values of water quality parameters measured at sampling sites 3 and 4 which were below the discharge point. Wash bay effluent released from the Charter Estate has an impact on some aspects of the water in the Nyahode River but the river has a functional self-purification capacity. Onsite industrial purification of wash bay effluent before discharge reduces its potential deleterious impact on water quality, river habitat integrity and aquatic biodiversity.
A study was conducted to examine spatial variability of soil properties related to fertility in maize fields across varying soil types in ward 10 of Hurungwe district, Zimbabwe; a smallholder farming area with sub-humid conditions and high yield potential. Purposively collected and geo-referenced soil samples were analyzed for texture, pH, soil organic carbon (OC), mineral N, bicarbonate P, and exchangeable K. Linear mixed model was used to analyze spatial variation of the data. The model allowed prediction of soil properties at unsampled sites by the empirical best linear unbiased predictor (EBLUP). Evidence for spatial dependence in the random component of the model was evaluated by calculating Akaike’s information criterion. Soil pH ranged from 4.0 to 6.9 and showed a strong spatial trend increasing from north to south, strong evidence for a difference between the home and outfields with homefields significantly higher and between soil textural classes with the sand clay loam fraction generally higher. Soil OC ranged from 0.2 to 2.02% and showed no spatial trend, but there was strong evidence for a difference between home and outfields, with mean soil OC in homefields significantly larger, and between soil textural classes, with soil OC largest in the sandy clay loams. Both soil pH and OC showed evidence for spatial dependence in the random effect, providing a basis for spatial prediction by the EBLUP, which was presented as a map. There were significant spatial trends in mineral N, available P and exchangeable K, all increasing from north to south; significant differences between homefields and outfields (larger concentrations in homefields), and differences between the soil textural classes with larger concentrations in the sandy clay loams. However, there was no evidence for spatial dependence in the random component, so no attempt was made to map these variables. These results show how management (home fields vs outfields), basic soil properties (texture) and other factors emerging as spatial trends influence key soil properties that determine soil fertility in these conditions. This implies that the best management practices may vary spatially, and that site-specific management is a desirable goal in conditions such as those which apply in Ward 10 of Hurungwe district in Zimbabwe.
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