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| Publications of James Herrera :chronological alphabetical combined listing:%% Journal Articles @article{fds345406, Author = {Herrera, J and Nunn, CL}, Title = {Behavioural ecology and infectious disease: implications for conservation of biodiversity.}, Journal = {Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences}, Volume = {374}, Number = {1781}, Pages = {20180054}, Year = {2019}, Month = {September}, url = {http://dx.doi.org/10.1098/rstb.2018.0054}, Abstract = {Behaviour underpins interactions among conspecifics and between species, with consequences for the transmission of disease-causing parasites. Because many parasites lead to declines in population size and increased risk of extinction for threatened species, understanding the link between host behaviour and disease transmission is particularly important for conservation management. Here, we consider the intersection of behaviour, ecology and parasite transmission, broadly encompassing micro- and macroparasites. We focus on behaviours that have direct impacts on transmission, as well as the behaviours that result from infection. Given the important role of parasites in host survival and reproduction, the effects of behaviour on parasitism can scale up to population-level processes, thus affecting species conservation. Understanding how conservation and infectious disease control strategies actually affect transmission potential can therefore often only be understood through a behavioural lens. We highlight how behavioural perspectives of disease ecology apply to conservation by reviewing the different ways that behavioural ecology influences parasite transmission and conservation goals. This article is part of the theme issue 'Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation'.}, Doi = {10.1098/rstb.2018.0054}, Key = {fds345406} } @article{fds344740, Author = {Herrera, JP and Chakraborty, D and Rushmore, J and Altizer, S and Nunn, C}, Title = {The changing ecology of primate parasites: Insights from wild-captive comparisons.}, Journal = {American Journal of Primatology}, Volume = {81}, Number = {7}, Pages = {e22991}, Year = {2019}, Month = {July}, url = {http://dx.doi.org/10.1002/ajp.22991}, Abstract = {Host movements, including migrations or range expansions, are known to influence parasite communities. Transitions to captivity-a rarely studied yet widespread human-driven host movement-can also change parasite communities, in some cases leading to pathogen spillover among wildlife species, or between wildlife and human hosts. We compared parasite species richness between wild and captive populations of 22 primate species, including macro- (helminths and arthropods) and micro-parasites (viruses, protozoa, bacteria, and fungi). We predicted that captive primates would have only a subset of their native parasite community, and would possess fewer parasites with complex life cycles requiring intermediate hosts or vectors. We further predicted that captive primates would have parasites transmitted by close contact and environmentally-including those shared with humans and other animals, such as commensals and pests. We found that the composition of primate parasite communities shifted in captive populations, especially because of turnover (parasites detected in captivity but not reported in the wild), but with some evidence of nestedness (holdovers from the wild). Because of the high degree of turnover, we found no significant difference in overall parasite richness between captive and wild primates. Vector-borne parasites were less likely to be found in captivity, whereas parasites transmitted through either close or non-close contact, including through fecal-oral transmission, were more likely to be newly detected in captivity. These findings identify parasites that require monitoring in captivity and raise concerns about the introduction of novel parasites to potentially susceptible wildlife populations during reintroduction programs.}, Doi = {10.1002/ajp.22991}, Key = {fds344740} } @article{fds339739, Author = {Herrera, JP and Borgerson, C and Tongasoa, L and Andriamahazoarivosoa, P and Rasolofoniaina, BJR and Rakotondrafarasata, ER and Randrianasolo, JLRR and Johnson, SE and Wright, PC and Golden, CD}, Title = {Estimating the population size of lemurs based on their mutualistic food trees}, Journal = {Journal of Biogeography}, Volume = {45}, Number = {11}, Pages = {2546-2563}, Publisher = {WILEY}, Year = {2018}, Month = {November}, url = {http://dx.doi.org/10.1111/jbi.13409}, Abstract = {© 2018 John Wiley & Sons Ltd Aim: Species’ distributions and abundances are primarily determined by the suitability of environmental conditions, including climate and interactions with sympatric species, but also increasingly by human activities. Modelling tools can help in assessing the extinction risk of affected species. By combining species distribution modelling of abiotic and biotic niches with population size modelling, we estimated the abundance of 19 lemur taxa in three regions, especially focusing on 10 species that are considered Endangered or Critically Endangered. Location: Madagascar. Taxa: Lemurs (Primates) and angiosperm trees. Methods: We used climate data, field samples, and published occurrence data on trees to construct species distribution models (SDM) for lemur food tree species. We then inferred the SDMs for lemurs based on the probability of occurrence of their food trees as well as climate. Finally, we used tree SDMs, topography, distance to the forest edge, and field estimates of lemur population density to predict lemur abundance in general linear models. Results: The SDMs of lemur food trees were stronger predictors of the occurrence of lemurs than climate. The predicted probability of presence of food trees, slope, elevation, and distance from the forest edge were significant correlates of lemur density. We found that sixteen species had minimum estimated abundances greater than 10,000 individuals over >1,000km2. Three lemur species are especially threatened, with less than 2,500 individuals predicted for Cheirogaleus sibreei, and heavy hunting pressure for the relatively small populations of Indri indri and Hapalemur occidentalis. Main conclusions: Biotic interactors were important variables in SDMs for lemurs, allowing refined estimates of ranges and abundances. This paper provides an analytical workflow that can be applied to other taxonomic groups to substantiate estimates of species’ vulnerability to extinction.}, Doi = {10.1111/jbi.13409}, Key = {fds339739} } @article{fds337584, Author = {Herrera, JP}, Title = {Primate diversification inferred from phylogenies and fossils.}, Journal = {Evolution; International Journal of Organic Evolution}, Volume = {71}, Number = {12}, Pages = {2845-2857}, Year = {2017}, Month = {December}, url = {http://dx.doi.org/10.1111/evo.13366}, Abstract = {Biodiversity arises from the balance between speciation and extinction. Fossils record the origins and disappearance of organisms, and the branching patterns of molecular phylogenies allow estimation of speciation and extinction rates, but the patterns of diversification are frequently incongruent between these two data sources. I tested two hypotheses about the diversification of primates based on ∼600 fossil species and 90% complete phylogenies of living species: (1) diversification rates increased through time; (2) a significant extinction event occurred in the Oligocene. Consistent with the first hypothesis, analyses of phylogenies supported increasing speciation rates and negligible extinction rates. In contrast, fossils showed that while speciation rates increased, speciation and extinction rates tended to be nearly equal, resulting in zero net diversification. Partially supporting the second hypothesis, the fossil data recorded a clear pattern of diversity decline in the Oligocene, although diversification rates were near zero. The phylogeny supported increased extinction ∼34 Ma, but also elevated extinction ∼10 Ma, coinciding with diversity declines in some fossil clades. The results demonstrated that estimates of speciation and extinction ignoring fossils are insufficient to infer diversification and information on extinct lineages should be incorporated into phylogenetic analyses.}, Doi = {10.1111/evo.13366}, Key = {fds337584} } @article{fds337585, Author = {Herrera, JP}, Title = {The Effects of Biogeography and Biotic Interactions on Lemur Community Assembly}, Journal = {International Journal of Primatology}, Volume = {38}, Number = {4}, Pages = {692-716}, Publisher = {Springer Nature}, Year = {2017}, Month = {August}, url = {http://dx.doi.org/10.1007/s10764-017-9974-9}, Abstract = {© 2017, Springer Science+Business Media, LLC. Geographic patterns of biodiversity result from broad-scale biogeographic and present-day ecological processes. The aim of this study was to investigate the relative importance of biogeographic history and ecology driving patterns of diversity in modern primate communities in Madagascar. I collected data on endemic lemur species co-occurrence from range maps and survey literature for 100 communities in protected areas. I quantified and compared taxonomic, phylogenetic, and functional dimensions of intra- and intersite diversity. I tested environmental and geographic predictors of diversity and endemism. I calculated deforestation rates within protected areas between the years 2000 and 2014, and tested if diversity is related to forest cover and loss. I found the phylogenetic structure of lemur communities could be explained primarily by remotely sensed plant productivity, supporting the hypothesis that there was ecological differentiation among ecoregions, while functional-trait disparity was not strongly related to environment. Taxonomic and phylogenetic diversity also increased with increasing topographic heterogeneity. Beta diversity was explained by both differences in ecology among localities and potential river barriers. Approximately 3000 km2 were deforested in protected areas since the year 2000, threatening the most diverse communities (up to 31%/park). The strong positive association of plant productivity and topographic heterogeneity with lemur diversity indicates that high productivity, rugged landscapes support greater diversity. Both ecology and river barriers influenced lemur community ecology and biogeography. These results underscore the need for focused conservation efforts to slow the loss of irreplaceable evolutionary and ecological diversity.}, Doi = {10.1007/s10764-017-9974-9}, Key = {fds337585} } @article{fds337586, Author = {Herrera, JP}, Title = {Prioritizing protected areas in Madagascar for lemur diversity using a multidimensional perspective}, Journal = {Biological Conservation}, Volume = {207}, Pages = {1-8}, Publisher = {Elsevier BV}, Year = {2017}, Month = {March}, url = {http://dx.doi.org/10.1016/j.biocon.2016.12.028}, Abstract = {© 2017 Elsevier Ltd Biodiversity is affected by anthropogenic activities, with a trend of decreasing species richness with habitat degradation. Decreasing species richness erodes evolutionary history and ecosystem function, but taxonomic, phylogenetic and functional diversity can have contrasting patterns. It is essential to measure these dimensions of biodiversity explicitly and assess how they are valued in prioritizing protected areas (PAs) to conserve diversity. Madagascar is a biodiversity hotspot, with high diversity and endemism coupled with heavy anthropogenic pressure. The endemic primates – lemurs – are the most endangered mammal taxon. A recent action plan prioritized PAs based on lemur species richness, weighted by endangerment. This scheme does not capture the evolutionary, functional, or biogeographic components of biodiversity, nor does it directly assess the level of human threat to those PAs. I compiled the largest dataset on lemur community composition in 100 PAs, including almost all lemur species (98 species). I combined data on lemur occurrence, their phylogeny, functional traits, IUCN Red List status, and environmental variables including deforestation between the years 2000 and 2014. I ranked PAs based on 14 metrics as well as the sum of metrics to determine how PA priorities compare under different valuation schemes. Based on the sum of seven metrics, I identified the top 25 PAs for lemur conservation. With these priority rankings, I propose areas of high lemur diversity, habitat heterogeneity and productivity, and deforestation be the focus of future conservation activities to maximize community resilience and prevent the erosion of evolutionary diversity and ecosystem function.}, Doi = {10.1016/j.biocon.2016.12.028}, Key = {fds337586} } @article{fds337587, Author = {Herrera, JP}, Title = {Testing the adaptive radiation hypothesis for the lemurs of Madagascar.}, Journal = {Royal Society Open Science}, Volume = {4}, Number = {1}, Pages = {161014}, Year = {2017}, Month = {January}, url = {http://dx.doi.org/10.1098/rsos.161014}, Abstract = {Lemurs, the diverse, endemic primates of Madagascar, are thought to represent a classic example of adaptive radiation. Based on the most complete phylogeny of living and extinct lemurs yet assembled, I tested predictions of adaptive radiation theory by estimating rates of speciation, extinction and adaptive phenotypic evolution. As predicted, lemur speciation rate exceeded that of their sister clade by nearly twofold, indicating the diversification dynamics of lemurs and mainland relatives may have been decoupled. Lemur diversification rates did not decline over time, however, as predicted by adaptive radiation theory. Optimal body masses diverged among dietary and activity pattern niches as lineages diversified into unique multidimensional ecospace. Based on these results, lemurs only partially fulfil the predictions of adaptive radiation theory, with phenotypic evolution corresponding to an 'early burst' of adaptive differentiation. The results must be interpreted with caution, however, because over the long evolutionary history of lemurs (approx. 50 million years), the 'early burst' signal of adaptive radiation may have been eroded by extinction.}, Doi = {10.1098/rsos.161014}, Key = {fds337587} } | ||
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