2013
DOI: 10.1108/dpm-10-2012-0109
|View full text |Cite
|
Sign up to set email alerts
|

Useful traditional knowledge indicators for drought forecasting in the Mzingwane Catchment area of Zimbabwe

Abstract: Purpose -The purpose of this paper is to identify, analyse and document local traditional indicators used in drought forecasting in the Mzingwane Catchment and to assess the possibility of integrating traditional rainfall forecasting, using the local traditional indicators, with meteorological forecasting methods. Design/methodology/approach -Self-administered structured questionnaires were conducted on 101 respondents in four districts of the Mzingwane Catchment area, namely, Beitbridge, Mangwe, Esighodini an… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
23
1
4

Year Published

2014
2014
2024
2024

Publication Types

Select...
6
2

Relationship

2
6

Authors

Journals

citations
Cited by 31 publications
(29 citation statements)
references
References 14 publications
1
23
1
4
Order By: Relevance
“…In Nicaragua, the communities of the subbasins of the Esteli and Coco Rivers monitor hand-made rain and river level gauges and use radio to communicate the data to the emergency management centers (Dávila 2016). Around the world, there are many examples of traditional and community-based warning systems for volcanoes (Donovan et al 2012 Source Compiled by the author based on data and information from Villagrán de León (2013, p. 80), Michoud et al (2013), Grasso (2014), and Dávila (2016) et al 2014), droughts (Chisadza et al 2013), tsunamis (Gaillard et al 2008), and malaria (Macherera and Chimbari 2016b). There are also surveys that identified regional and/or national warning systems for different hazards (Table 1).…”
Section: Multi-hazard Approaches: Inputs For the Sendai Framework Formentioning
confidence: 99%
“…In Nicaragua, the communities of the subbasins of the Esteli and Coco Rivers monitor hand-made rain and river level gauges and use radio to communicate the data to the emergency management centers (Dávila 2016). Around the world, there are many examples of traditional and community-based warning systems for volcanoes (Donovan et al 2012 Source Compiled by the author based on data and information from Villagrán de León (2013, p. 80), Michoud et al (2013), Grasso (2014), and Dávila (2016) et al 2014), droughts (Chisadza et al 2013), tsunamis (Gaillard et al 2008), and malaria (Macherera and Chimbari 2016b). There are also surveys that identified regional and/or national warning systems for different hazards (Table 1).…”
Section: Multi-hazard Approaches: Inputs For the Sendai Framework Formentioning
confidence: 99%
“…In Offon River basin in Ghana, farmers are able to predict well the onset of rains and plan their planting activities to coincide with the rains [7]. Findings from Zimbabwe suggest that some local indicators have predictive ability [25,28,3].…”
Section: Introductionmentioning
confidence: 99%
“…Appearance of certain birds, mating of certain animals, or the nature of flowering of certain plants are all important signals of changes in time and seasons that are well understood by traditional knowledge. It is these indicators that are either located on one's farm or near one's home that have been used as indicative objects in making decisions of livelihood significance by farmers [3]. Traditional knowledge is the basis for local level decisions in such areas as food production, education, natural resources management, agriculture and health as well as a host of other livelihood activities in rural areas [30].…”
Section: Introductionmentioning
confidence: 99%
“…Notwithstanding this, Ziervogel (2001) argued that as the interpretation of environmental indicators is a part of personal knowledge and experience, inconsistencies are expected, even within the same community. This stresses the urgent need to safeguard traditional knowledge which, despite the current challenges faced, continues to be the primary source of farmers' forecasts for farm-related decisions, especially considering that access to, and utilization of, scientific forecasting remains very limited in most rural areas (Chisadza et al 2013). Thus, although several factors might increase farmers' vulnerability to drought, Wongbusarakum and Loper (2011) contend that the lack of drought-related information and early warning systems are making farmers more vulnerable to its impact.…”
Section: Perspectives On Traditional Prediction Methodsmentioning
confidence: 99%