Indicators for wild animal offtake: methods and case study for African mammals and birds

Unsustainable exploitation of wild animals is one of the greatest threats to biodiversity and to millions of people depending on wild meat for food and income. The international conservation and development community has committed to implementing plans for sustainable use of natural resources and has requested development of monitoring systems of bushmeat offtake and trade. Although offtake monitoring systems and indicators for marine species are more developed, information on harvesting terrestrial species is limited. Building on approaches developed to monitor exploitation of fisheries and population trends, we have proposed two novel indicators for harvested terrestrial species: the mean body mass indicator (MBMI) assessing whether hunters are relying increasingly on smaller species over time, as a measure of defaunation, by tracking body mass composition of harvested species within samples across various sites and dates; and the offtake pressure indicator (OPI) as a measure of harvesting pressure on groups of wild animals within a region by combining multiple time series of the number of harvested individuals across species. We applied these two indicators to recently compiled data for West and Central African mammals and birds. Our exploratory analyses show that the MBMI of harvested mammals decreased but that of birds rose between 1966/1975 and 2010. For both mammals and birds the OPI increased substantially during the observed time period. Given our results, time-series data and information collated from multiple sources are useful to investigate trends in body mass of hunted species and offtake volumes. In the absence of comprehensive monitoring systems, we suggest that the two indicators developed in our study are adequate proxies of wildlife offtake, which together with additional data can inform conservation policies and actions at regional and global scales

Accounting for the impact of conservation on human well-being

Conservationists are increasingly engaging with the concept of human well-being to improve the design and evaluation of their interventions. Since the convening of the influential Sarkozy Commission in 2009, development researchers have been refining conceptualizations and frameworks to understand and measure human well-being and are starting to converge on a common understanding of how best to do this. In conservation, the term human well-being is in widespread use, but there is a need for guidance on operationalizing it to measure the impacts of conservation interventions on people. We present a framework for understanding human well-being, which could be particularly useful in conservation. The framework includes 3 conditions; meeting needs, pursuing goals, and experiencing a satisfactory quality of life. We outline some of the complexities involved in evaluating the well-being effects of conservation interventions, with the understanding that well-being varies between people and over time and with the priorities of the evaluator. Key challenges for research into the well-being impacts of conservation interventions include the need to build up a collection of case studies so as to draw out generalizable lessons; harness the potential of modern technology to support well-being research; and contextualize evaluations of conservation impacts on well-being spatially and temporally within the wider landscape of social change. Pathways through the smog of confusion around the term well-being exist, and existing frameworks such as the Well-being in Developing Countries approach can help conservationists negotiate the challenges of operationalizing the concept. Conservationists have the opportunity to benefit from the recent flurry of research in the development field so as to carry out more nuanced and locally relevant evaluations of the effects of their interventions on human well-being

Four steps for the Earth: mainstreaming the post-2020 global biodiversity framework

The upcoming Convention on Biological Diversity (CBD) meeting, and adoption of the new Global Biodiversity Framework, represent an opportunity to transform humanity's relationship with nature. Restoring nature while meeting human needs requires a bold vision, including mainstreaming biodiversity conservation in society. We present a framework that could support this: the Mitigation and Conservation Hierarchy. This places the Mitigation Hierarchy for mitigating and compensating the biodiversity impacts of developments (1, avoid; 2, minimize; 3, restore; and 4, offset, toward a target such as "no net loss" of biodiversity) within a broader framing encompassing all conservation actions. We illustrate its application by national governments, sub-national levels (specifically the city of London, a fishery, and Indigenous groups), companies, and individuals. The Mitigation and Conservation Hierarchy supports the choice of actions to conserve and restore nature, and evaluation of the effectiveness of those actions, across sectors and scales. It can guide actions toward a sustainable future for people and nature, supporting the CBD's vision

Non-invasive genetic identification confirms the presence of the endangered okapi Okapia Johnstoni south-west of the Congo River

The okapi Okapia johnstoni, a rainforest giraffid endemic to the Democratic Republic of Congo, was recategorized as Endangered on the IUCN Red List in 2013. Historical records and anecdotal reports suggest that a disjunct population of okapi may have occurred south-west of the Congo River but the current distribution and status of the okapi in this region are not well known. Here we describe the use of non-invasive genetic identification for this species and assess the success of species identification from dung in the wild, which varied throughout the range. This variation is probably attributable to varying okapi population densities and/or different sample collection strategies across the okapi's distribution. Okapi were confirmed to occur south-west of the Congo River, in scattered localities west of the Lomami River. We demonstrated that non-invasive genetic methods can provide information on the distribution of cryptic, uncommon species that is difficult to obtain by other methods. Further investigation is required to genetically characterize the okapi across its range and to investigate the biogeographical processes that have led to the observed distribution of okapi and other fauna in the region

Distinct and Diverse: Range-Wide Phylogeography Reveals Ancient Lineages and High Genetic Variation in the Endangered Okapi (<i>Okapia johnstoni</i>)

<div><p>The okapi is an endangered, evolutionarily distinctive even-toed ungulate classified within the giraffidae family that is endemic to the Democratic Republic of Congo. The okapi is currently under major anthropogenic threat, yet to date nothing is known about its genetic structure and evolutionary history, information important for conservation management given the species' current plight. The distribution of the okapi, being confined to the Congo Basin and yet spanning the Congo River, also makes it an important species for testing general biogeographic hypotheses for Congo Basin fauna, a currently understudied area of research. Here we describe the evolutionary history and genetic structure of okapi, in the context of other African ungulates including the giraffe, and use this information to shed light on the biogeographic history of Congo Basin fauna in general. Using nuclear and mitochondrial DNA sequence analysis of mainly non-invasively collected samples, we show that the okapi is both highly genetically distinct and highly genetically diverse, an unusual combination of genetic traits for an endangered species, and feature a complex evolutionary history. Genetic data are consistent with repeated climatic cycles leading to multiple Plio-Pleistocene refugia in isolated forests in the Congo catchment but also imply historic gene flow across the Congo River.</p></div

Giraffidae phylogeny drawn in BEAST v1.7.5 [35], with red deer (<i>Cervus elaphus</i>) as an outgroup, using 505 bp of mtDNA.

<p>Posterior probabilities of >0.8 are highlighted with a single asterisk and posterior probabilities of >0.95 are highlighted with a double-asterisk. Haplotype labels refer to the haplotypes in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0101081#pone-0101081-g001" target="_blank">Fig. 1</a>.</p

Pairwise F_ST values for mitochondrial DNA.

<p>***p<0.001,</p><p>**p<0.01,</p>NS<p> = Not Significant.</p

Nucleotide diversity in 268–275 bp of homologous CR sequences of African ungulates, sorted on pi.

<p>Key taxa are shown in bold. These often correspond to the combined calculations for several species or subspecies.</p

Okapi samples used in the present study, with the colour relating to the adjacent network [30], based on 833 bp of mitochondrial DNA.

<p>For the network, TCS connected alleles with a 95% confidence limit, those that did not fall within that limit are connected with dotted lines (with numbers corresponding to the number of mutations). Haplotypes are grouped into haplogroups (number of mutations within always less than between a haplogroup) by colour. Some haplotypes contain more than one label due to different programs using missing data in different ways. Sampling locations are arbitrarily labelled 1–4 for reference in the text. Key protected areas are labelled A (Rubi-Tele Hunting Reserve), B (Okapi Faunal Reserve, RFO), C (Lomami National Park), D (Lomami River).</p