Developing the Environmental Long-Term Observatories Network

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Developing the Environmental Long-Term Observatories Network 100 South African Journal of Science 99, March/April 2003 News & Views expresses the interdisciplinary, multi- institutional synergy and large-scale (‘big Developing the Environmental science’) scope of EON. Finally, EON also expresses the long-term scope and the Long-Term Observatories Network challenge of elucidating events across landscapes, species assemblages and of Southern Africa (ELTOSA) aeons. EON, in its generic sense, is a research a* b c d platform and information management Joh Henschel , Johan Pauw , Feetham Banyikwa , Rui Brito , system for multidisciplinary, multi-insti- Harry Chabwelae, Tony Palmerf, Sue Ringroseg, Luisa Santosd, tutional and participatory ecosystem d h studies with strong local, national, Almeida Sitoe and Albert van Jaarsveld sub-continental and global linkages. EON tackles the formidable task of improving understanding of ecosystem function and ONG-TERM ECOLOGICAL RESEARCH (LTER) Introduction change, as well as agents of change, to Lfacilitates the understanding of long- promote wise use and management of term environmental processes and epi- Background ecosystem goods and services through sodic changes at local to global scales. The In May 2001, we, scientists from six Environmental Long-Term Observatories policies, strategies, public awareness and countries in southern Africa, formed the environmental education. Although Network of Southern Africa (ELTOSA) is a Environmental Long-Term Observatories regional LTER network of country Environ- environments are complex and dynamic mental Observatories Networks (EON) en- Network of Southern Africa (ELTOSA). with many interacting factors that vary at compassing the natural environments and Further development was made at the different scales, EON can provide a their socio-economic context. EON involves ELTOSA conference on Inhaca Island, mechanism for effective early-warning the documentation, analysis and information Mozambique, during July 2002. ELTOSA systems and for the prediction of deleteri- dissemination concerning long-term (decades connects country Environmental Obser- ous environmental change. to centuries), large-scale (ecosystem, biome, vatories Networks (EON), the African continental, global) ecological and socio- adaptation of LTER (long-term ecological economic processes. These are elucidated Data keepers research). The International Long-Term through multidisciplinary research and Good time-series data are necessary to Ecological Research Network (ILTER) has monitoring over a network of institutionally address some of our most important accepted ELTOSA as a regional member, operated field observation sites. Basic func- questions concerning the environment. tions concern fieldwork, data management and currently three ELTOSA country Obtaining these requires strategies to and sharing, analyses and interpretation, and members have individual ILTER mem- capture past data electronically, make information dissemination, all operated in bership (Namibia in 1999, Zambia in 2001, such a way as to benefit most from coopera- new observations, and incorporate them South Africa in 2002) and others are work- tion among professionals and with resource into accessible, understandable and ing towards membership. managers at all levels. Requirements for con- shared data archives that build up a This position paper describes the devel- tinuity include programmatic tenure and legacy of information that is independent opment of a vision for EON in southern funding, data archiving, data sharing, train- of the whereabouts and welfare of the ing, and networking. EON involves network- Africa. We outline the importance of contributors. This, in turn, makes it possi- ing at four scales. First, the level of the EON developing EON and list the opportuni- ble to obtain data that no single individ- centre inter-connects specific study plots over ties this offers for the natural and social time and space, and facilitates collaboration ual, or institution or generation can sciences. Finally, we focus on some between researchers and students using the accumulate, while it simultaneously challenges that accompany the develop- centre. Second, the country network level minimizes data loss and redundancy. ment of EON in the region, with sugges- inter-connects several institutions and These strategies towards national and programmes with common goals and activi- tions on how to meet them. regional environmental information sys- ties. Third, the regional network level, such as ELTOSA, promotes subcontinental program- tems must be non-profit orientated and mes, synergy, and complementarity. Fourth, EON require synergy and good coordination the global network (ILTER, International LTER is a well-established concept among many scientists and institutions.3 Long-Term Ecological Research Network) involving ecology,1,2 and its broader EON therefore concerns monitoring, facilitates planning and information ex- application in Africa in the ecological as data archiving, data accessibility and change concerning such programmes across well as socio-economic context is termed sharing, and ensuring continuity of such the world. This position paper describes the Environmental Observatories Network. programmes. current status and character of ELTOSA, sets While the word ‘observatories’ expresses out to solicit programmatic support from funders and policy-makers, and intends to the idea of monitoring at multiple fixed Scale serve as a discussion focus for its further sites that is fundamental to this kind of Long-term and large-scale phenomena dynamic development. long-term data acquisition, ‘network’ require long-term and large-scale moni- toring programmes. Data obtained at a e Gobabeb Training and Research Centre, P.O. Box 953, Department of Biological Sciences, University of Zambia, different times and different sites can Walvis Bay, Namibia. P.O. Box 32379, Lusaka 10101, Zambia. be compared across space and time. bSouth African Environmental Observatory Network, fRange and Forage Institute, Agricultural Research Coun- National Research Foundation, P.O. Box 2600, Pretoria cil, P.O. Box 101, Grahamstown 6140, South Africa. Typically, the time scale of EON monitor- 0001, South Africa. gHarry Oppenheimer Okavango Research Centre, ing extends from several years to centu- cDepartment of Botany, University of Dar-es-Salaam, P.O. University of Botswana, P.O. Box 285, Maun, Botswana. ries (with predictions extending into Box 35060, Dar-es-Salaam, Tanzania. h Faculty of Science, University of Stellenbosch, Private millennium-scale probabilities). How- dFaculty of Agronomy, University Eduardo Mondlane, CP Bag X1, Matieland 7602, South Africa. 257 Maputo, Moçambique. *Author for correspondence. E-mail: [email protected] ever,they do also capture episodic events, News & Views South African Journal of Science 99, March/April 2003 101 environmental phenomena that may be short, rare and unpredictable, but ex- Box 1. Typical kinds of parameters measured at EON sites (not necessarily all at each site). tremely important (for example, extraor- • dinary rainfalls or droughts, heat-waves Climate: precipitation, temperature, humidity, wind, solar radiation, ocean currents • or deep frosts, freak storms or extensive Episodic events: high rainfall, long drought, high flood, heavy storm, deep frost, extensive hot hot fires). Spatial scales typically extend fire, landslide, volcanic eruption, algal bloom/red tide, tornado/cyclone, political strife, pandemic, economic depression/boom, disastrous pollution from the size of a plot or patch (for exam- • Primary productivity: Nett primary productivity (NPP), leaf area index, forest biomass, NDVI, ple, 1 m2,1ha,1km2), across landscapes to phytoplankton biomes. Networking stretches the scale • Ground truthing: for remote sensing, for example, NDVI, biomass, precipitation across subcontinents, continents and the • globe. EON endeavours to provide base- Long-term population dynamics: local and spatial changes in abundance and demography of wild and domestic plants and animals line data and information on changes, • Growth: especially of long-lived individuals (for example, whales, Welwitschia, yellow-wood including how changes affect and are trees, lichens) affected by people. • Phenology: seasonality, development patterns, reproductive output Over time, environmental sciences • Biodiversity: species richness, alpha and beta diversity, biogeography, status of threatened have become more holistic in their out- species look, combining natural and socio- • Community composition: ecosystem changes, alien invaders, bush encroachment economic environments into one field. • Decomposition: rate of consumption of standard substrates, amount of detritus and dead This cross-sectoral approach addresses wood issues relating to sustainable develop- • Weathering: erosion, corrosion, dune movements ment, but also provides scientific strength • Water levels: runoff volume, dam level, groundwater depth, water quality by being more inclusive, although it • remains an academic challenge to master Greenhouse and ozone-depleting gases: background level, local volume • and to evaluate. The key is synergy, Carbon stocks (gains and losses): standing crop, combustion of fossil fuel, fire prevalence where co-operation produces greater • Soil nutrients: organic carbon, nitrogen and phosphorus, light fraction products than the sum of the outputs by • Natural resource use: water abstraction, grazing, type and intensity of land use, water, fire- individual participants working alone.
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