Building a Species Conservation Strategy for the brown howler monkey (Alouatta guariba clamitans) in Argentina in the context of yellow fever outbreaks

El mono aullador marrón (Alouatta guariba clamitans) es endémico del Bosque Atlántico de América del Sur, con una pequeña población que se extiende en la porción norte de la provincia de Misiones en el noreste de Argentina. En el año 2012, debido a su reducida distribución geográfica, su baja densidad poblacional y al dramático impacto de los recientes brotes de Fiebre Amarilla, la especie fue categorizada en Argentina como “en peligro crítico”. En el mes de marzo de 2013 organizamos un taller internacional en Misiones con el objetivo de evaluar el estado de la población de esta especie en Argentina y llevar a cabo un análisis de las principales amenazas para su conservación. Para alcanzar estos objetivos construimos modelos de viabilidad poblacional utilizando los programas Vortex y Outbreak. Los mismos nos permitieron explorar cómo varios parámetros biológicos y demográficos de la especie, así como diversos factores relacionados al impacto de la Fiebre Amarilla, influyen sobre la probabilidad de extinción de la especie. La discusión entre los distintos especialistas y el análisis de los resultados de los modelos identificaron a la Fiebre Amarilla como la principal amenaza para la subsistencia de esta población en Argentina. El análisis de las amenazas se centró en la dinámica de los brotes de Fiebre Amarilla y la severidad de su impacto sobre la población de esta especie, lo que permitió identificar huecos en el conocimiento que permitieron priorizar objetivos y acciones a llevar a cabo para el desarrollo de una estrategia de conservación para esta especie en Argentina.The brown howler monkey (Alouatta guariba clamitans) is endemic to South America’s Atlantic Forest, with a small population extending into the northern portion of Misiones province in northeastern Argentina. In 2012, the species was classified as Critically Endangered in Argentina due to its highly restricted distribution, low population density and dramatic declines from recent Yellow Fever outbreaks. In March 2013, we organized an international workshop in Misiones to evaluate population status in Argentina and conduct a threat analysis. We developed population viability models using Vortex and Outbreak software packages. These tools allowed us to explore how several biological and demographic parameters of brown howlers, as well as factors related to Yellow Fever epidemiology, affect the probability of species extinction. The discussion among diverse specialists and analysis of model results identified Yellow Fever as the main threat to brown howler population persistence in Argentina. Our threat analysis, focused on the dynamics of Yellow Fever outbreaks and their impact on howler populations, led to the identification of gaps in knowledge that helped prioritize objectives and actions for the development of a Species Conservation Strategy in Argentina.Fil: Agostini, Ilaria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Centro de Investigaciones del Bosque Atlantico; ArgentinaFil: Holzmann, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Centro de Investigaciones del Bosque Atlantico; ArgentinaFil: Di Bitetti, Mario Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Centro de Investigaciones del Bosque Atlantico; ArgentinaFil: Oklander, Luciana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Centro de Investigaciones del Bosque Atlantico; ArgentinaFil: Kowalewski, Miguel Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia". Estación Biológica de Usos Multiples (sede Corrientes); ArgentinaFil: Beldomenico, Pablo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Cs.veterinarias. Instituto de Ciencias Veterinarias del Litoral; ArgentinaFil: Goenaga, S.. Dirección Nacional de Instituto de Investigación. Adm.nacional de Laboratorio E Instituto de Salud "dr.c.g.malbran". Instituto Nacional de Enfermedades Virales Humanas; ArgentinaFil: Martínez, Mariela Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Ministerio de Salud. Instituto Nacional de Medicina Tropical; ArgentinaFil: Moreno, Eduardo S.. Ministerio da Saude; BrasilFil: Lestani, Eduardo. Ministerio de Salud. Instituto Nacional de Medicina Tropical; ArgentinaFil: Desbiez, Arnaud L. J.. Royal Zoological Society of Scotland; Reino Unido. Conservation Breeding Specialist Group; Estados UnidosFil: Miller, Philip. Conservation Breeding Specialist Group; Estados Unido

ATLANTIC ‐ PRIMATES : a dataset of communities and occurrences of primates in the Atlantic Forests of South America

Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1–6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co‐occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data.Fil: Culot, Laurence. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Pereira, Lucas Augusto. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Agostini, Ilaria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Centro de Investigaciones del Bosque Atlántico; ArgentinaFil: de Almeida, Marco Antônio Barreto. Pontificia Universidade Católica do Rio Grande do Sul; BrasilFil: Alves, Rafael Souza Cruz. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Baldovino, María Celia. Centro de Investigaciones del Bosque Atlántico; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Miguel Lillo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Di Bitetti, Mario Santiago. Centro de Investigaciones del Bosque Atlántico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; ArgentinaFil: Oklander, Luciana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; ArgentinaFil: Holzmann, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Dums, Marcos. RUMO S.A. Licenciamento Ambiental; BrasilFil: Lombardi, Pryscilla Moura. RUMO S.A. Licenciamento Ambiental; BrasilFil: Bonikowski, Renata Twardowsky Ramalho. RUMO S.A. Licenciamento Ambiental; BrasilFil: Age, Stéfani Gabrieli. RUMO S.A. Licenciamento Ambiental; BrasilFil: Souza Alves, João Pedro. Universidade Federal de Pernambuco; BrasilFil: Chagas, Renata. Universidade Federal da Paraíba; BrasilFil: da Cunha, Rogério Grassetto Teixeira. Universidade Federal de Alfenas; BrasilFil: Valença Montenegro, Monica Mafra. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: Ludwig, Gabriela. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: Jerusalinsky, Leandro. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: Buss, Gerson. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: de Azevedo, Renata Bocorny. Centro Nacional de Pesquisa e Conservaçao de Primates Brasileiros; BrasilFil: Filho, Roberio Freire. Universidade Federal de Pernambuco; BrasilFil: Bufalo, Felipe. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Milhe, Louis. Université D'Avignon et des Pays du Vaucluse; FranciaFil: Santos, Mayara Mulato dos. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Sepulvida, Raíssa. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Ferraz, Daniel da Silva. Universidade do Estado de Minas Gerais; BrasilFil: Faria, Michel Barros. Universidade do Estado de Minas Gerais; BrasilFil: Ribeiro, Milton Cezar. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Galetti, Mauro. Universidade Estadual Paulista Julio de Mesquita Filho; Brasi

ATLANTIC-PRIMATES: a dataset of communities and occurrences of primates in the Atlantic Forests of South America

Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1–6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km 2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km 2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co-occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data. © 2018 by the The Authors. Ecology © 2018 The Ecological Society of Americ

CAMERA TRAP PHOTOGRAPHIC RATES ON ROADS VS. OFF ROADS: LOCATION DOES MATTER

ABSTRACT. We present the results of a camera trap survey conducted in 2008 in the Atlantic Forest of Iguazú National Park, Misiones, Argentina, testing whether placing camera traps on dirt roads/trails or in off-road locations produce important biases in the recorded species. Seven pairs of camera trap stations were active for 26.6 ± 8.9 days; for each pair, one station was located on a narrow unpaved road and the other about 50 m from the road. We used the first order Jackknife estimator to compare species richness between on-road vs. off-road locations. We used records from another camera trap survey conducted at Iguazú National Park in 2006-2007 to assess whether species with a high Road-use Index (ratio of photographs of animals walking along roads to photographs of animals crossing the roads) had a higher ratio of records on roads/off road stations in the 2008 survey. Multivariate ANOVA based on dissimilarities (ADONIS) was used to compare mammal assemblages recorded at stations located on roads vs. off roads. We obtained 228 independent records of 15 species of medium-large sized terrestrial mammals. Stations located on roads had a higher recording rate (1.06, SD = 0.57 vs. 0.24, SD = 0.13 records per day) and recorded more species than off-road stations (15 vs. 10 recorded species; 19.3, SE = 2.8 vs. 14.3, SE = 2.8 species estimated with the 1 st order Jackknife model). Species differ in their relative probabilities of being recorded on roads vs. off roads, something that can be predicted with the Road-use Index. The ADONIS indicated that the mammal assemblage surveyed on roads was statistically dissimilar to that surveyed off roads, a result that can be explained by the differential tendency of the species to use roads and trails. RESUMEN. Tasa de registros fotográficos con cámaras trampa en caminos vs. fuera de ellos: la ubicación es importante. Presentamos los resultados de muestreos con cámaras trampa que realizamos en el Parque Nacional Iguazú, Misiones, Argentina, en 2008 para evaluar si ubicar las cámaras trampa en caminos o senderos o fuera de ellos afecta el ensamble de mamíferos muestreado. Siete pares de estaciones estuvieron activas durante 26.6 ± 8.9 días. Una estación de cada par estuvo ubicada en un camino de tierra angosto y no transitado; la otra a 50 m de distancia perpendicular del camino dentro del bosque. Usamos los registros de otro muestreo con cámaras trampa realizado en el parque nacional Iguazú en 2006-2007 para evaluar si las especies con una mayor proporción de fotos caminando sobre los senderos en lugar de cruzándolos transversal o tangencialmente (índice de uso de senderos) fueron relativamente más registradas en las estaciones ubicadas en senderos en 2008. Usamos el estimador Jackknife de primer orden para comparar la riqueza de especies en estaciones de senderos y fuera de ellos. Un ANOVA multivariado basado en disimilitudes (ADONIS) fue usado para comparar los ensambles de mamíferos registrados en caminos y fuera de ellos. Obtuvimos 228 registros independientes de 15 especies de mamíferos terrestres medianos-grandes. Las estaciones ubicadas en caminos tuvieron una mayor tasa de registros (1.06 ± 0.57 vs. 0.24 ± 0.13 registros/día) y una mayor riqueza que las estaciones fuera de ellos (15 vs. 10 especies observadas; 19.3, SE = 2.8 vs. 14.3, SE = 2.8 especies estimadas con el modelo Jackknife de 1 er orden). Las especies difirieron en sus probabilidades relativas de ser registradas en caminos vs fuera d

Comparing capuchins and coatis: causes and consequences of differing movement ecology in two sympatric mammals

The mechanisms that shape animal movement decisions at the level of an individual or a group of animals can scale up to affect larger-scale ecological processes. Ecologists often use mechanistic animal movement models to understand these links, but animal movement models rarely connect empirically with an understanding of how animals actually decide to move around in their environment. To better understand this relationship, we compared the travel behaviour of two sympatric mammal species that have broadly similar diets: brown capuchin monkeys, Cebus apella nigritus, and ring-tailed coatis, Nasua nasua. According to most mechanistic animal movement models, species that exploit the same resources should show similar movement patterns. Although the fruit component of coati and capuchin diets is very similar, coatis primarily feed on invertebrates in the leaf litter or soil, while capuchins forage on invertebrate prey in the forest canopy. We found that these two species showed markedly different movement patterns: while capuchins typically travelled between fruit trees in relatively straight lines, coatis had significantly more tortuous daily travel paths and frequently visited the same fruit trees more than once per day. These circular coati travel paths would not be predicted by most foraging models. We posit that these differences in coati and capuchin movement patterns are driven by differences in arboreal and terrestrial travel costs, exploitation of fallen fruits and shifts in foraging behaviour over the course of the day. Because these seemingly small differences between the two species lead to major differences in movement behaviour, we posit that animal movement models need to better incorporate (1) travel costs, (2) both directed travel and random food search and (3) realistic diet models that include resources with different nutrient compositions