It is a hard reality that virtually all countries, no matter how well resourced, take conservation and land use decisions based on highly patchy and imperfect data – if indeed any data at all. Despite a mushrooming of scientific evidence and journals in the past decade, and open-access provision of many expensive global datasets, developing countries in particular often have to make do with inaccurate and coarse-scale global data, in the absence of targeted, local data to solve immediate conservation problems. To what extent can citizen science data compensate for the patchiness of conventional government-gathered scientific data in order to support planning, policy and management?
Popular science magazine aimed at South African youth. Published quarterly.
©2021 Quest – Academy of Science of South Africa
This work is licensed under a Creative Commons Attribution 4.0 International License.
Tel.: +27(12) 349 6600/6645
Academy of Science of South Africa, 41 De Havilland Crescent, Persequor Park, Meiring Naudé Road, Lynnwood, Pretoria, South Africa