Understanding uneven patterns of forest use and tracking changes in the composition of forest residents are both important for sensitive forest policy and management. With increases in migration streams in several tropical forest regions, we need corresponding information about how new immigrants are influencing human-environment relations in sites of ecological significance. We use data from over 6500 household surveys collected by the Wildlife Conservation Society in three sites in Central Africa: the forests surrounding Nouabalé-Ndoki National Park and Lac Télé Community Reserve in the Republic of Congo, and the Okapi Wildlife Reserve in the Democratic Republic of Congo. We compare household characteristics, livelihoods, and forest use among recent migrants (arriving within the past decade), longer-established households, and households belonging to an Indigenous group. We find that recent migrants are less likely to engage in forest-harvest-based livelihoods and harvest several types of forest foods and fibers less frequently than other households. Recent migrants also tend to be wealthier, younger, and over-represented in salaried jobs. Meanwhile, Indigenous households are 3 to 16 times more likely to participate in a forest-based livelihood, depending on the site. Other consistent predictors of forest harvest include village, age of the household head, household size, whether a household is female-headed (−), and wealth (−). Many trends hold broadly across all three sites, but there are also site-specific patterns related to differences in remoteness and economic opportunities. We conclude with reflections about what the changing make-up of forest-proximate communities might mean for forest management and governance.

To monitor quality of life in changing landscapes and assess impacts of interventions, development scholars and practitioners continue to seek sensitive, flexible, practical means of measuring well-being. An approach that has received relatively little attention from development scholars but that is gaining traction among NGOs is the use of a well-being index derived from a list of locally defined and democratically weighted basic necessities. The Wildlife Conservation Society has been piloting a tool called the Basic Necessities Survey (BNS) in and around protected areas in Central Africa and beyond for over a decade. Adapted from consensual relative poverty metrics developed in the UK and Sweden, BNS data can be used to calculate a Well-being Index (WBI) that is locally relevant and comparable. To demonstrate its applicability in a lower-income context, we present findings from the Ituri Region of the Democratic Republic of the Congo (DRC) where over 2,000 households were surveyed using the BNS tool in 2015, 2017, and 2019. WBI scores were lower among traditionally vulnerable and marginalized groups: Indigenous and female-headed households, those with young or elderly heads, and households that were smaller or had high ratios of dependents. WBI varied with livelihood and geography and was sensitive enough to detect group-specific changes over a short time; namely an economic shock concentrated in villages along the main local highway in 2017 when the DRC experienced a major currency devaluation. Scores can be calculated to either incorporate or isolate variability in subjective expectations about what constitutes well-being; we show that expectations differed for Indigenous households and expectations rose faster than assets in this period. Findings build confidence in the utility of this type of locally informed multidimensional well-being metric in low-income regions. Those seeking practical instruments to produce flexible and regionally comparable well-being measures may wish to consider this approach.

ABSTRACT Avian endemism in the Albertine Rift is among the highest of any region in Africa. Conservation of these forests is a high priority, but informed prioritization has been hampered by limited data for most endemic bird species. We employed ecological niche models, coupled with remote sensing and field data, to present a case study of 2 Albertine Rift bush-shrikes (Laniarius) that until recently had been considered conspecific. The ecological niche models are based on presence-only data from museum specimens and sight records from field surveys from the region. We generated a set of competing models with different subsets of environmental variables. We evaluated competing models with an intuitive and broadly applicable model-selection strategy appropriate for assessing suitable habitat for species of conservation concern. Based on its distribution, habitat requirements, and the boundaries of national parks in the Albertine Rift, our results demonstrate that the recently described and cryptic Willard...

Aframomum ngamikkense, a new species from the Misotshi-Kabogo Massif in the Albertine Rift, Eastern D.R. Congo, is described and illustrated. It differs from the superficially similar A. pseudostipulare in the shorter and obtuse ligules up to 5 mm long (vs. acute and up to 10 mm long), and the indistinctly 3-lobed apex of the stamen (vs. distinctly 3-lobed).

SummaryIn many countries, areas delineated for conservation purposes can only achieve their objectives if effective law enforcement occurs within them. However, there is no method currently available to allocate law enforcement effort in a way that protects species and habitats in a cost‐effective manner. Law enforcement is expensive and effort is usually concentrated near the locations of patrol stations where rangers are based. This hampers effective conservation, particularly in large protected areas, or regions with limited enforcement capacity.Using the spatial planning tool Marxan, we demonstrate a method for prioritizing law enforcement in a globally important conservation landscape (the Greater Virunga Landscape,GVL, in central Africa) using data on the spatial distribution of illegal activities and conservation features within the landscape.Our analysis of current patrol data shows that law enforcement activity is inadequate with only 22% of the landscape being effectively patrolled and most of this activity occurring within 3 km of a patrol post. We show that the current patrol effort does not deter illegal activities beyond this distance.We discover that when we account for the costs of effective patrolling and set targets for covering key species populations and habitats, we can reduce the costs of meeting all conservation targets in the landscape by 63%, to $2·2–3·0 millionUSD, relative to the cost of patrolling the entire landscape. This cost is well within the current expenditure of approximately $5·9 millionUSDfor theGVLbut would better target effort from both patrol posts and mobile patrol units in the landscape.Synthesis and applications. Our results demonstrate a method that can be used to plan enforcement patrolling, resulting in more cost‐efficient prevention of illegal activities in a way that is targeted at halting declines in species of conservation concern.

The response of terrestrial vegetation to a globally changing environment is central to predictions of future levels of atmospheric carbon dioxide. The role of tropical forests is critical because they are carbon-dense and highly productive. Inventory plots across Amazonia show that old-growth forests have increased in carbon storage over recent decades, but the response of one-third of the world's tropical forests in Africa is largely unknown owing to an absence of spatially extensive observation networks. Here we report data from a ten-country network of long-term monitoring plots in African tropical forests. We find that across 79 plots (163 ha) above-ground carbon storage in live trees increased by 0.63 Mg C ha(-1) yr(-1) between 1968 and 2007 (95% confidence interval (CI), 0.22-0.94; mean interval, 1987-96). Extrapolation to unmeasured forest components (live roots, small trees, necromass) and scaling to the continent implies a total increase in carbon storage in African tropical forest trees of 0.34 Pg C yr(-1) (CI, 0.15-0.43). These reported changes in carbon storage are similar to those reported for Amazonian forests per unit area, providing evidence that increasing carbon storage in old-growth forests is a pan-tropical phenomenon. Indeed, combining all standardized inventory data from this study and from tropical America and Asia together yields a comparable figure of 0.49 Mg C ha(-1) yr(-1) (n = 156; 562 ha; CI, 0.29-0.66; mean interval, 1987-97). This indicates a carbon sink of 1.3 Pg C yr(-1) (CI, 0.8-1.6) across all tropical forests during recent decades. Taxon-specific analyses of African inventory and other data suggest that widespread changes in resource availability, such as increasing atmospheric carbon dioxide concentrations, may be the cause of the increase in carbon stocks, as some theory and models predict.