Husbandry and Herding: A Community-Based Approach to Addressing Illegal Wildlife Trade in Northern Botswana

Illegal bushmeat hunting is a major driver of wildlife population declines in Northern Botswana. Such declines raise concerns about the principles and integrity of the Kavango-Zambezi Transfrontier Conservation Area (KAZA) and regional economic stability which is heavily reliant on wildlife-based tourism. The KAZA landscape between Northern Botswana's protected areas consists of non-state land utilized communally by small agropastoralist communities. These communities are economically challenged by international beef trade policies, restricted access to grazing in nearby wildlife management areas and high conflict costs from living in close proximity to wildlife; some of the key factors identified as drivers of bushmeat hunting in the region. Here we describe how a model called Herding for Health (H4H) could address these drivers. We discuss strategies using a socio-economic centered Theory of Change (ToC) model to identify the role agropastoral communities can have in addressing illegal wildlife trade (IWT). The ToC conceptual framework was developed with input from a resource team consisting of scientific and implementation experts in H4H, wildlife conservation, illegal wildlife trade and livelihood development between September and December 2018, and with a validation workshop in March 2019 with government representatives from relevant ministries, NGO's, community-based organizations and private sector participants. We identify three pathways deriving from the ToC driven by community level actions to address IWT in the region. These include: increasing institutions for local enforcement, developing incentives for ecosystem stewardship and decreasing the costs of living alongside wildlife. The success of these pathways depends on underlying enabling actions: support for the development of institutional frameworks; building community capacity to facilitate informed best farming practices; and strengthening commitments to sustainable resource management to increase resilience to climatic and economic shocks.

The vegetation and wildlife habitats of the Savuti-Mababe-Linyanti ecosystem, northern Botswana

This study classified the vegetation of the Savuti-Mababe-Linyanti ecosystem (SMLE), northern Botswana and developed a detailed map that provides a reliable habitat template of the SMLE for future wildlife habitat use studies. The major vegetation units of the SMLE were determined from satellite imagery and field visits and then mapped using Landsat 8 and RapidEye imagery and maximum likelihood classifier. These units were sampled using 40 m x 20 m (800 m²) plots in which the coverage of all plant species was estimated. Non-metric multidimensional scaling (NMS) demonstrated that plant communities were determined by gradients in soil texture or fertility and wetness. NMS 1 represented a gradient of soil texture with seven woodland communities on sandy soils (sandveld communities and Baikiaea forest) dominated by Baikiaea plurijuga in Baikiaea forest and Terminalia sericea and Philenoptera nelsii in sandveld, with various indicator species differentiating the various sandveld community types. Mopane woodland further from and riparian woodland adjacent to permanent water was common on less sandy alluvial soils. Mineral-rich, heavy clay soils in the sump of a large paleolake system support open grassland and mixed Senegalia/Vachellia (Acacia) savanna, with the mineral-rich soils supporting grasses high in minerals such as phosphorus, calcium, sodium and potassium, and thus this region is a critical wet season range for migratory zebra. Taller, high-quality grasses in the mosaic of sandveld and mopane woodland communities provide critical grazing for taller grass grazers such as buffalo, roan and sable antelope, whereas wetland communities provide reliable green forage during the dry season for a variety of herbivores, including elephant. This study has demonstrated how large-scale environmental gradients determine functional habitat heterogeneity for wildlife.Conservation implications: Our study demonstrated that the functionality of protected areas is determined by large-scale environmental gradients. Thus conservation science must aim to ensure that protected areas cover the full range of key environmental gradients in a region (soil texture and wetness in our study). Our habitat map provides a data base for wildlife habitat use studies in the region.