A decision support system for institutional support to farmers in the face of climate change challenges in Limpopo province

被引:5
|
作者
Kephe, Priscilla Ntuchu [1 ,2 ]
Ayisi, Kingsley Kwabena [2 ]
Petja, Brilliant Mareme [1 ,2 ,3 ]
机构
[1] Univ Limpopo, Dept Geog & Environm Studies, Private Bag X1106, ZA-0727 Sovenga, Polokwane, South Africa
[2] Univ Limpopo, Risk & Vulnerabil Sci Ctr, Private Bag X1106, ZA-0727 Sovenga, South Africa
[3] Water Res Commiss, Private Bag X03, ZA-0031 Pretoria, South Africa
关键词
Geography; Environmental sciences; Agricultural sciences; Institutional support; Adaptive capacity; Support institution; Cooperative governance; Climate change; SOUTH-AFRICA; FOOD SECURITY; SMALLHOLDER IRRIGATION; ADAPTATION; VULNERABILITY; INFORMATION; IMPACTS;
D O I
10.1016/j.heliyon.2020.e04989
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Smallholder farmers in South Africa continue to be affected by the changing climate despite the existence of support to improve their adaptive capacity. This study focused on the institutional support systems and support types available to farmers in agro-ecological zones of Limpopo Province and assessed support types best suited to each area. Six hundred farmers were purposively sampled across the agro-ecological zones of Limpopo and interviewed. Support types looked at included monetary, machinery, seeds, educational support and others (irrigation scheme, animals, fertilizer, pesticides). Supporting institutions included Agro finance institutions, DAFF, Banks, and NGOs. Results showed that 70.01% of farmers received support from DAFF 25.60% from NGO's and 4.39% from Agro finance institutions. The most number of support received was two types 33.3% of the farmers. The result from the ANOVA showed that there were no significant differences in the level of difficulty experienced by farmers in accessing the various support institutions across the agro-ecological zones. In terms of the various support types received, there was a statistically significant difference in seeds (p = 0.002 < alpha = 0.05) and educational (p = 0.0001 < alpha = 0.05) support received between the different areas. Furthermore, the support needs varied across zones with farmers in arid-zone needing machinery, education, seeds and lastly monetary support while the semi-arid zone needed machinery, education, others, seeds, monetary and the humid, machinery, education, others, money and seeds. It is therefore recommended that support for farmers should be location-specific in order to enhance the adaptive capacity of an area and not be based only on the availability of certain support. There is a need for proper coordination between institutions in their aim to assist farmers to cope with climate
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Engaging Farmers in Climate Change Adaptation Planning: Assessing Intercropping as a Means to Support Farm Adaptive Capacity
    Himanen, Sari J.
    Maekinen, Hanna
    Rimhanen, Karoliina
    Savikko, Riitta
    AGRICULTURE-BASEL, 2016, 6 (03):
  • [42] The determinants of farmers' decision to produce African leafy vegetables in the Limpopo province, South Africa
    Senyolo, Grany M.
    Wale, Edilegnaw
    Ortmann, Gerald F.
    AFRICAN JOURNAL OF SCIENCE TECHNOLOGY INNOVATION & DEVELOPMENT, 2018, 10 (07) : 771 - 778
  • [43] Risk experience and smallholder farmers' climate change adaptation decision
    Habtemariama, Lemlem Teklegiorgis
    Gandorfer, Markus
    Kassa, Getachew Abate
    Sieber, Stefan
    CLIMATE AND DEVELOPMENT, 2020, 12 (04) : 385 - 393
  • [44] Options for support to agriculture and food security under climate change
    Vermeulen, S. J.
    Aggarwal, P. K.
    Ainslie, A.
    Angelone, C.
    Campbell, B. M.
    Challinor, A. J.
    Hansen, J. W.
    Ingram, J. S. I.
    Jarvis, A.
    Kristjanson, P.
    Lau, C.
    Nelson, G. C.
    Thornton, P. K.
    Wollenberg, E.
    ENVIRONMENTAL SCIENCE & POLICY, 2012, 15 (01) : 136 - 144
  • [45] Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities
    Mehedi, Ibrahim M.
    Hanif, Muhammad Shehzad
    Bilal, Muhammad
    Vellingiri, Mahendiran T.
    Palaniswamy, Thangam
    IEEE ACCESS, 2024, 12 : 44786 - 44798
  • [46] Robustness of pattern scaled climate change scenarios for adaptation decision support
    Lopez, Ana
    Suckling, Emma B.
    Smith, Leonard A.
    CLIMATIC CHANGE, 2014, 122 (04) : 555 - 566
  • [47] SDSM - a decision support tool for the assessment of regional climate change impacts
    Wilby, RL
    Dawson, CW
    Barrow, EM
    ENVIRONMENTAL MODELLING & SOFTWARE, 2002, 17 (02) : 147 - 159
  • [48] What does decision support mean to the climate change research community?
    Romsdahl, Rebecca J.
    Pyke, Christopher R.
    CLIMATIC CHANGE, 2009, 95 (1-2) : 1 - 10
  • [49] Scenarios and Decision Support for Security and Conflict Risks in the Context of Climate Change
    Schweizer, Vanessa
    CURRENT CLIMATE CHANGE REPORTS, 2019, 5 (01) : 12 - 23
  • [50] Decision Support for the Provision of Ecosystem Services under Climate Change: An Editorial
    Vacik, Harald
    Borges, Jose G.
    Garcia-Gonzalo, Jordi
    Eriksson, Ljusk-Ola
    FORESTS, 2015, 6 (09): : 3212 - 3217