Community-based conservation models have been widely implemented across Africa to improve wildlife conservation and livelihoods of rural communities. In Tanzania, communities can set aside land and formally register it as Wildlife Management Area (WMA), which allows them to generate revenue via consumptive or nonconsumptive utilization of wildlife. The key, yet often untested, assumption of this model is that economic benefits accrued from wildlife motivate sustainable management of wildlife. To test the ecological effectiveness (here defined as persistence of wildlife populations) of Burunge Wildlife Management Area (BWMA), we employed a participatory monitoring approach involving WMA personnel. At intermittent intervals between 2011 and 2018, we estimated mammal species richness and population densities of ten mammal species (African elephant, giraffe, buffalo, zebra, wildebeest, waterbuck, warthog, impala, Kirk's dik-dik, and vervet monkey) along line transects. We compared mammal species accumulation curves and density estimates with those of time-matched road transect surveys conducted in adjacent Tarangire National Park (TNP). Mammal species richness estimates were similar in both areas, yet observed species richness per transect was greater in TNP compared to BWMA.Species-specific density estimates of time-matched surveys were mostly not significantly different between BWMA and TNP, but elephants occasionally reached greater densities in TNP compared to BWMA. In BWMA, elephant, wildebeest, and impala populations showed significant increases from 2011 to 2018. These results suggest that community-based conservation models can support mammal communities and densities that are similar to national park baselines. In light of the ecological success of this case study, we emphasize the need for continued efforts to ensure that the BWMA is effective. This will require adaptive management to counteract potential negative repercussions of wildlife populations on peoples' livelihoods. This study can be used as a model to evaluate the effectiveness of wildlife management areas across Tanzania.
An evaluation of the diversity and community structure of dung beetles associated with semiurban agricultural land in the Malabar coast of southern India revealed that urbanization has led to decreased diversity compared to regional forests, and has affected the community status of dung beetles. However, contrary to expectations, species richness was observed to be equivalent to rural agricultural fields in the region. Low abundance of prominent agricultural habitat species indicates that the study area has changed as a result of habitat modification/urbanization, and the prevailing conditions are not ideal for the establishment of the most common species in agriculture belts. Prominence of two less common species, Tiniocellus spinipes and Caccobius vulcanus, indicates these generalist urban adaptable (synanthropic) species have become increasingly widespread and locally abundant. The low abundance of tunnelers and rollers is attributed to fragmentation of the urban agricultural belt, low mammalian diversity and dung availability, and the hard nature of the laterite soil in the Malabar coast region.
In running waters, a picture of the macroinvertebrate community of a station is generally obtained by adding individuals sampled in different mesohabitats. Mesohabitats can be defined as combinations of a substrate type and a range of current speed. Simulations allowed us to study the variation in the community picture of a station when 8 mesohabitats were taken into account although eleven were sampled. Results were replaced in the framework of the use of the Indice Biologique Global Normalisé (IB-GN).Taxonomic structure described with indices varied greatly with the combination of mesohabitats sampled. Taxonomic richness was the more stable index considering the potential range of this index. In contrast, abundance was the more variable index. Between these extremes, diversity or dominance indices had an intermediate range of variability. The variability of a structure index seemed to increase when this index integrates taxa abundances, which depend on mesohabitats sampled. Taxonomic richness is integrated in IBGN in the form of classes; this expression reduces the effect of richness variability. Even if the sampling protocol was respected, the uncertainty on the IBGN can reach 3 units. Solutions have been considered to optimize the assessment of running water biological quality.
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