13 research outputs found

    Congo Basin peatlands: threats and conservation priorities

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    The recent publication of the first spatially explicit map of peatlands in the Cuvette Centrale, central Congo Basin, reveals it to be the most extensive tropical peatland complex, at ca. 145,500 km2. With an estimated 30.6 Pg of carbon stored in these peatlands, there are now questions about whether these carbon stocks are under threat and, if so, what can be done to protect them. Here, we analyse the potential threats to Congo Basin peat carbon stocks and identify knowledge gaps in relation to these threats, and to how the peatland systems might respond. Climate change emerges as a particularly pressing concern, given its potential to destabilise carbon stocks across the whole area. Socio-economic developments are increasing across central Africa and, whilst much of the peatland area is protected on paper by some form of conservation designation, the potential exists for hydrocarbon exploration, logging, plantations and other forms of disturbance to significantly damage the peatland ecosystems. The low level of human intervention at present suggests that the opportunity still exists to protect the peatlands in a largely intact state, possibly drawing on climate change mitigation funding, which can be used not only to protect the peat carbon pool but also to improve the livelihoods of people living in and around these peatlands

    Extension materials for CSA practices in cocoa for West Africa

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    Extension materials for CSA practices in cocoa for West Afric

    Impacts of roads, hunting, and habitat alteration on nocturnal mammals in African rainforest

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    Nocturnal mammals are poorly studied in Central Africa, a region experiencing dramatic increases in logging, roads, and hunting activity. In the rainforests of southern Gabon, we used spotlighting surveys to estimate abundances of nocturnal mammal species and guilds at varying distances from forest roads and between hunted and unhunted treatments (comparing a 130-km2 oil concession that was nearly free of hunting, with nearby areas outside the concession that had moderate hunting pressure). At each of 12 study sites that were evenly divided between hunted and unhunted areas, we established standardized 1-km transects along road verges and at 50, 300, and 600 m from the road. We then repeatedly surveyed mammals at each site during 2006. Hunting had few apparent effects on this assemblage. Nevertheless, the species richness and often the abundance of nocturnal primates, smaller ungulates, and carnivores were significantly depressed within approximately 30 m of roads. Scansorial rodents increased in abundance in hunted forests, possibly in response to habitat changes caused by logging or nearby swidden farming. In multiple-regression models many species and guilds were significantly influenced by forest-canopy and understory cover, both of which are altered by logging and by certain abiotic variables. In general, nocturnal species, many of which are arboreal or relatively small in size (<10 kg), were less strongly influenced by hunting and more strongly affected by human-induced changes in forest structure than were larger mammal species in our study area

    Development of triple bottom line indicators for sustainability assessment framework of Malaysian palm oil industry

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    The production of crude palm oil has environmental, economic and social implications. A sustainability assessment framework is needed to improve the sustainability performance of crude palm oil production in a carbon-constrained economy. The objective of this paper is to develop Performance Measures for triple bottom line assessment in the Malaysian palm oil industry, which includes Key Performance Indicators and Higher Performance Indicators for implementing the sustainability assessment framework. The Performance Measures of the triple bottom line assessment were built on the framework of Lim and Biswas (Sustainability 7(12):16561–16587, 2015). The measures were further developed through a participatory approach involving stakeholders and area experts, including Government, Industry, Academia and Local Smallholders/Non-Government Organisations. The developed framework presents a final list of Performance Measures, Key Performance Indicators and Higher Performance Indicators using a structured process and introduces weighting factors to the indicators to reflect the difference in the perceived level of importance. The calculation methods of the assessment framework were verified, and finally, the framework was tested using hypothetical data
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