20 results on '"Eno‐Nku, Manasseh"'
Search Results
2. Recent genetic connectivity and clinal variation in chimpanzees
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Lester, Jack D., Vigilant, Linda, Gratton, Paolo, McCarthy, Maureen S., Barratt, Christopher D., Dieguez, Paula, Agbor, Anthony, Álvarez-Varona, Paula, Angedakin, Samuel, Ayimisin, Emmanuel Ayuk, Bailey, Emma, Bessone, Mattia, Brazzola, Gregory, Chancellor, Rebecca, Cohen, Heather, Danquah, Emmanuel, Deschner, Tobias, Egbe, Villard Ebot, Eno-Nku, Manasseh, Goedmakers, Annemarie, Granjon, Anne-Céline, Head, Josephine, Hedwig, Daniela, Hernandez-Aguilar, R. Adriana, Jeffery, Kathryn J., Jones, Sorrel, Junker, Jessica, Kadam, Parag, Kaiser, Michael, Kalan, Ammie K., Kehoe, Laura, Kienast, Ivonne, Langergraber, Kevin E., Lapuente, Juan, Laudisoit, Anne, Lee, Kevin, Marrocoli, Sergio, Mihindou, Vianet, Morgan, David, Muhanguzi, Geoffrey, Neil, Emily, Nicholl, Sonia, Orbell, Christopher, Ormsby, Lucy Jayne, Pacheco, Liliana, Piel, Alex, Robbins, Martha M., Rundus, Aaron, Sanz, Crickette, Sciaky, Lilah, Siaka, Alhaji M., Städele, Veronika, Stewart, Fiona, Tagg, Nikki, Ton, Els, van Schijndel, Joost, Vyalengerera, Magloire Kambale, Wessling, Erin G., Willie, Jacob, Wittig, Roman M., Yuh, Yisa Ginath, Yurkiw, Kyle, Zuberbuehler, Klaus, Boesch, Christophe, Kühl, Hjalmar S., and Arandjelovic, Mimi
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- 2021
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3. Author Correction: Environmental variability supports chimpanzee behavioural diversity
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Kalan, Ammie K., Kulik, Lars, Arandjelovic, Mimi, Boesch, Christophe, Haas, Fabian, Dieguez, Paula, Barratt, Christopher D., Abwe, Ekwoge E., Agbor, Anthony, Angedakin, Samuel, Aubert, Floris, Ayimisin, Emmanuel Ayuk, Bailey, Emma, Bessone, Mattia, Brazzola, Gregory, Buh, Valentine Ebua, Chancellor, Rebecca, Cohen, Heather, Coupland, Charlotte, Curran, Bryan, Danquah, Emmanuel, Deschner, Tobias, Dowd, Dervla, Eno-Nku, Manasseh, Fay, J. Michael, Goedmakers, Annemarie, Granjon, Anne-Céline, Head, Josephine, Hedwig, Daniela, Hermans, Veerle, Jeffery, Kathryn J., Jones, Sorrel, Junker, Jessica, Kadam, Parag, Kambi, Mohamed, Kienast, Ivonne, Kujirakwinja, Deo, Langergraber, Kevin E., Lapuente, Juan, Larson, Bradley, Lee, Kevin C., Leinert, Vera, Llana, Manuel, Marrocoli, Sergio, Meier, Amelia C., Morgan, Bethan, Morgan, David, Neil, Emily, Nicholl, Sonia, Normand, Emmanuelle, Ormsby, Lucy Jayne, Pacheco, Liliana, Piel, Alex, Preece, Jodie, Robbins, Martha M., Rundus, Aaron, Sanz, Crickette, Sommer, Volker, Stewart, Fiona, Tagg, Nikki, Tennie, Claudio, Vergnes, Virginie, Welsh, Adam, Wessling, Erin G., Willie, Jacob, Wittig, Roman M., Yuh, Yisa Ginath, Zuberbühler, Klaus, and Kühl, Hjalmar S.
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- 2021
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4. Chimpanzee ethnography reveals unexpected cultural diversity
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Boesch, Christophe, Kalan, Ammie K., Mundry, Roger, Arandjelovic, Mimi, Pika, Simone, Dieguez, Paula, Ayimisin, Emmanuel Ayuk, Barciela, Amanda, Coupland, Charlotte, Egbe, Villard Ebot, Eno-Nku, Manasseh, Michael Fay, J., Fine, David, Adriana Hernandez-Aguilar, R., Hermans, Veerle, Kadam, Parag, Kambi, Mohamed, Llana, Manuel, Maretti, Giovanna, Morgan, David, Murai, Mizuki, Neil, Emily, Nicholl, Sonia, Ormsby, Lucy Jayne, Orume, Robinson, Pacheco, Liliana, Piel, Alex, Sanz, Crickette, Sciaky, Lilah, Stewart, Fiona A., Tagg, Nikki, Wessling, Erin G., Willie, Jacob, and Kühl, Hjalmar S.
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- 2020
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5. Environmental variability supports chimpanzee behavioural diversity
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Kalan, Ammie K., Kulik, Lars, Arandjelovic, Mimi, Boesch, Christophe, Haas, Fabian, Dieguez, Paula, Barratt, Christopher D., Abwe, Ekwoge E., Agbor, Anthony, Angedakin, Samuel, Aubert, Floris, Ayimisin, Emmanuel Ayuk, Bailey, Emma, Bessone, Mattia, Brazzola, Gregory, Buh, Valentine Ebua, Chancellor, Rebecca, Cohen, Heather, Coupland, Charlotte, Curran, Bryan, Danquah, Emmanuel, Deschner, Tobias, Dowd, Dervla, Eno-Nku, Manasseh, Michael Fay, J., Goedmakers, Annemarie, Granjon, Anne-Céline, Head, Josephine, Hedwig, Daniela, Hermans, Veerle, Jeffery, Kathryn J., Jones, Sorrel, Junker, Jessica, Kadam, Parag, Kambi, Mohamed, Kienast, Ivonne, Kujirakwinja, Deo, Langergraber, Kevin E., Lapuente, Juan, Larson, Bradley, Lee, Kevin C., Leinert, Vera, Llana, Manuel, Marrocoli, Sergio, Meier, Amelia C., Morgan, Bethan, Morgan, David, Neil, Emily, Nicholl, Sonia, Normand, Emmanuelle, Ormsby, Lucy Jayne, Pacheco, Liliana, Piel, Alex, Preece, Jodie, Robbins, Martha M., Rundus, Aaron, Sanz, Crickette, Sommer, Volker, Stewart, Fiona, Tagg, Nikki, Tennie, Claudio, Vergnes, Virginie, Welsh, Adam, Wessling, Erin G., Willie, Jacob, Wittig, Roman M., Yuh, Yisa Ginath, Zuberbühler, Klaus, and Kühl, Hjalmar S.
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- 2020
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6. Author Correction: Chimpanzee ethnography reveals unexpected cultural diversity
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Boesch, Christophe, Kalan, Ammie K., Mundry, Roger, Arandjelovic, Mimi, Pika, Simone, Dieguez, Paula, Ayimisin, Emmanuel Ayuk, Barciela, Amanda, Coupland, Charlotte, Egbe, Villard Ebot, Eno-Nku, Manasseh, Fay, J. Michael, Fine, David, Hernandez-Aguilar, R. Adriana, Hermans, Veerle, Kadam, Parag, Kambi, Mohamed, Llana, Manuel, Maretti, Giovanna, Morgan, David, Murai, Mizuki, Neil, Emily, Nicholl, Sonia, Ormsby, Lucy Jayne, Orume, Robinson, Pacheco, Liliana, Piel, Alex, Sanz, Crickette, Sciaky, Lilah, Stewart, Fiona A., Tagg, Nikki, Wessling, Erin G., Willie, Jacob, and Kühl, Hjalmar S.
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- 2020
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7. An appraisal of ecotourisms impact on biodiversity conservation: The case of Campo Maan National Park, Cameroon
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Eno-Nku Manasseh, Tchamba Martin, and Gadinga Walter Forje
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education.field_of_study ,Biodiversity conservation ,Public–private partnership ,Geography ,Ecotourism ,National park ,Population ,Citizen journalism ,education ,Socioeconomics ,Livelihood ,Focus group - Abstract
Ecotourism is often perceived as a strategy for sustainable biodiversity conservation for protected areas. In Cameroon, there is dearth of information on the impacts of ecotourism on biodiversity conservation of protected areas. The main thrust of this study is to examine local population's perceptions of the impact of ecotourism on biodiversity conservation in and around the Campo Ma'an National Park (CMNP). Data were collected from both primary and secondary sources. Primary data were gotten from household survey (N=124), focus group discussions (N=8) and key informant interviews (N=16). From the findings, 44.4% of the local population perceived ecotourism activities contributing to biodiversity conservation of CMNP against 55.6% with contrary views. Spearman rank correlation coefficients and Chi-square test statistics indicated that, variables plausibly influencing local population's perception of ecotourism impact on biodiversity conservation in and around CMNP were age (p
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- 2020
8. Range-wide indicators of African great ape density distribution
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Ordaz‐Németh, Isabel, Sop, Tenekwetche, Amarasekaran, Bala, Bachmann, Mona, Boesch, Christophe, Brncic, Terry, Caillaud, Damien, Campbell, Geneviève, Carvalho, Joana, Chancellor, Rebecca, Davenport, Tim R B, Dowd, Dervla, Eno‐Nku, Manasseh, Maisels, Fiona, and Williamson, Elizabeth A
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Bonobo ,chimpanzee ,IUCN SSC A.P.E.S. database ,gorilla ,range-wide assessment - Abstract
Species distributions are influenced by processes occurring at multiple spatial scales. It is therefore insufficient to model species distribution at a single geographic scale, as this does not provide the necessary understanding of determining factors. Instead, multiple approaches are needed, each differing in spatial extent, grain, and research objective. Here, we present the first attempt to model continent-wide great ape density distribution. We used site-level estimates of African great ape abundance to (1) identify socioeconomic and environmental factors that drive densities at the continental scale, and (2) predict range-wide great ape density. We collated great ape abundance estimates from 156 sites and defined 134 pseudo-absence sites to represent additional absence locations. The latter were based on locations of unsuitable environmental conditions for great apes, and on existing literature. We compiled seven socioeconomic and environmental covariate layers and fitted a generalized linear model to investigate their influence on great ape abundance. We used an Akaike-weighted average of full and subset models to predict the range-wide density distribution of African great apes for the year 2015. Great ape densities were lowest where there were high Human Footprint and Gross Domestic Product values; the highest predicted densities were in Central Africa, and the lowest in West Africa. Only 10.7% of the total predicted population was found in the International Union for Conservation of Nature Category I and II protected areas. For 16 out of 20 countries, our estimated abundances were largely in line with those from previous studies. For four countries, Central African Republic, Democratic Republic of the Congo, Liberia, and South Sudan, the estimated populations were excessively high. We propose further improvements to the model to overcome survey and predictor data limitations, which would enable a temporally dynamic approach for monitoring great apes across their range based on key indicators.
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- 2021
9. Predicting range shifts of African apes under global change scenarios
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Fiona A. Stewart, Richard A. Bergl, Bruce P. Graham, Laurent D.Z. Nzooh, Lilian Pintea, Louis Nkembi, Elizabeth A. Williamson, Bethan J. Morgan, Charles-Albert Petre, Jessica Junker, Mary Molokwu-Odozi, Serge A. Wich, Jacob Willie, Hedwige Boesch, Fiona Maisels, Barbara Haurez, Christophe Boesch, Emmanuel Danquah, Andrea Ghiurghi, Erin G. Wessling, Andrew J. Plumptre, Hjalmar S. Kühl, Jacqueline Sunderland-Groves, Abdulai Barrie, Leon Payne, Eno-Nku Manasseh, Osiris A. Doumbé, Annemarie Goedmakers, Gaёlle Bocksberger, Nakedi Maputla, Sylvain Gatti, Terry Brncic, Aaron S. Rundus, Yoshihiro Nakashima, Stephane Y. Le-Duc, Angelique Todd, Josephine Head, Benjamin Barca, Dismas Hakizimana, Adeline Serckx, Maureen S. McCarthy, Alex K. Piel, Anh Galat-Luong, Bartelijntje Buys, Ilka Herbinger, Jessica Ganas, Nicolas Granier, Stuart Nixon, Sarah H. Olson, Paul K. N'Goran, Nikki Tagg, Emmanuelle Normand, Joana S. Carvalho, José F. C. Wenceslau, Rebecca Chancellor, Annika Hillers, Ashley Vosper, Bala Amarasekaran, Tenekwetche Sop, and Sorrel Jones
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QL ,GE ,Ensemble forecasting ,Range (biology) ,Ecology ,Climate change ,Global change ,Environmental niche modelling ,Geography ,Biological dispersal ,Land use, land-use change and forestry ,Physical geography ,Ecology, Evolution, Behavior and Systematics ,Sampling bias - Abstract
Aim: Modelling African great ape distribution has until now focused on current or past conditions, while future scenarios remain scarcely explored. Using an ensemble forecasting approach, we predicted changes in taxon-specific distribution under future scenarios of climate, land use and human populations for (1) areas outside protected areas (PAs) only (assuming complete management effectiveness of PAs), (2) the entire study region and (3) interspecies range overlap. Location: Tropical Africa. Methods: We compiled occurrence data (n = 5,203) on African apes from the IUCN A.P.E.S. database and extracted relevant climate-, habitat- and human-related predictors representing current and future (2050) conditions to predict taxon-specific range change under a best- and a worst-case scenario, using ensemble forecasting. Results: The predictive performance of the models varied across taxa. Synergistic interactions between predictors are shaping African ape distribution, particularly human-related variables. On average across taxa, a range decline of 50% is expected outside PAs under the best scenario if no dispersal occurs (61% in worst scenario). Otherwise, an 85% range reduction is predicted to occur across study regions (94% worst). However, range gains are predicted outside PAs if dispersal occurs (52% best, 21% worst), with a slight increase in gains expected across study regions (66% best, 24% worst). Moreover, more than half of range losses and gains are predicted to occur outside PAs where interspecific ranges overlap. Main Conclusions: Massive range decline is expected by 2050, but range gain is uncertain as African apes will not be able to occupy these new areas immediately due to their limited dispersal capacity, migration lag and ecological constraints. Given that most future range changes are predicted outside PAs, Africa's current PA network is likely to be insufficient for preserving suitable habitats and maintaining connected ape populations. Thus, conservation planners urgently need to integrate land use planning and climate change mitigation measures at all decision-making levels both in range countries and abroad.
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- 2021
10. Range‐wide indicators of African great ape density distribution
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Ordaz‐Németh, Isabel, primary, Sop, Tenekwetche, additional, Amarasekaran, Bala, additional, Bachmann, Mona, additional, Boesch, Christophe, additional, Brncic, Terry, additional, Caillaud, Damien, additional, Campbell, Geneviève, additional, Carvalho, Joana, additional, Chancellor, Rebecca, additional, Davenport, Tim R. B., additional, Dowd, Dervla, additional, Eno‐Nku, Manasseh, additional, Ganas‐Swaray, Jessica, additional, Granier, Nicholas, additional, Greengrass, Elizabeth, additional, Heinicke, Stefanie, additional, Herbinger, Ilka, additional, Inkamba‐Nkulu, Clement, additional, Iyenguet, Fortuné, additional, Junker, Jessica, additional, Bobo, Kadiri S., additional, Lushimba, Alain, additional, Maisels, Fiona, additional, Malanda, Guy Aimé Florent, additional, McCarthy, Maureen S., additional, Motsaba, Prosper, additional, Moustgaard, Jennifer, additional, Murai, Mizuki, additional, Ndokoue, Bezangoye, additional, Nixon, Stuart, additional, Nseme, Rostand Aba'a, additional, Nzooh, Zacharie, additional, Pintea, Lilian, additional, Plumptre, Andrew J., additional, Roy, Justin, additional, Rundus, Aaron, additional, Sanderson, Jim, additional, Serckx, Adeline, additional, Strindberg, Samantha, additional, Tweh, Clement, additional, Vanleeuwe, Hilde, additional, Vosper, Ashley, additional, Waltert, Matthias, additional, Williamson, Elizabeth A., additional, Wilson, Michael, additional, Mundry, Roger, additional, and Kühl, Hjalmar S., additional
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- 2021
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11. Quantitative estimates of glacial refugia for chimpanzees ( Pan troglodytes ) since the Last Interglacial (120,000 BP)
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Barratt, Christopher D., primary, Lester, Jack D., additional, Gratton, Paolo, additional, Onstein, Renske E., additional, Kalan, Ammie K., additional, McCarthy, Maureen S., additional, Bocksberger, Gaëlle, additional, White, Lauren C., additional, Vigilant, Linda, additional, Dieguez, Paula, additional, Abdulai, Barrie, additional, Aebischer, Thierry, additional, Agbor, Anthony, additional, Assumang, Alfred K., additional, Bailey, Emma, additional, Bessone, Mattia, additional, Buys, Bartelijntje, additional, Carvalho, Joana S., additional, Chancellor, Rebecca, additional, Cohen, Heather, additional, Danquah, Emmanuel, additional, Deschner, Tobias, additional, Dongmo, Zacharie N., additional, Doumbé, Osiris A., additional, Dupain, Jef, additional, Duvall, Chris S., additional, Eno‐Nku, Manasseh, additional, Etoga, Gilles, additional, Galat‐Luong, Anh, additional, Garriga, Rosa, additional, Gatti, Sylvain, additional, Ghiurghi, Andrea, additional, Goedmakers, Annemarie, additional, Granjon, Anne‐Céline, additional, Hakizimana, Dismas, additional, Head, Josephine, additional, Hedwig, Daniela, additional, Herbinger, Ilka, additional, Hermans, Veerle, additional, Jones, Sorrel, additional, Junker, Jessica, additional, Kadam, Parag, additional, Kambi, Mohamed, additional, Kienast, Ivonne, additional, Kouakou, Célestin Y., additional, N′Goran, Kouamé P., additional, Langergraber, Kevin E., additional, Lapuente, Juan, additional, Laudisoit, Anne, additional, Lee, Kevin C., additional, Maisels, Fiona, additional, Mirghani, Nadia, additional, Moore, Deborah, additional, Morgan, Bethan, additional, Morgan, David, additional, Neil, Emily, additional, Nicholl, Sonia, additional, Nkembi, Louis, additional, Ntongho, Anne, additional, Orbell, Christopher, additional, Ormsby, Lucy Jayne, additional, Pacheco, Liliana, additional, Piel, Alex K., additional, Pintea, Lilian, additional, Plumptre, Andrew J., additional, Rundus, Aaron, additional, Sanz, Crickette, additional, Sommer, Volker, additional, Sop, Tenekwetche, additional, Stewart, Fiona A., additional, Sunderland‐Groves, Jacqueline, additional, Tagg, Nikki, additional, Todd, Angelique, additional, Ton, Els, additional, Schijndel, Joost, additional, VanLeeuwe, Hilde, additional, Vendras, Elleni, additional, Welsh, Adam, additional, Wenceslau, José F. C., additional, Wessling, Erin G., additional, Willie, Jacob, additional, Wittig, Roman M., additional, Yoshihiro, Nakashima, additional, Yuh, Yisa Ginath, additional, Yurkiw, Kyle, additional, Boesch, Christophe, additional, Arandjelovic, Mimi, additional, and Kühl, Hjalmar, additional
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- 2021
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12. Maximizing the acquisition of unique reads in noninvasive capture sequencing experiments
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La Caixa, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Max Planck Society, Heinz L. Krekeler Foundation, Fundación la Caixa, European Research Council, European Commission, Howard Hughes Medical Institute, Generalitat de Catalunya, Fontsere, Claudia, Alvarez-Estape, Marina, Lester, Jack D., Arandjelovic, Mimi, Kuhlwilm, Martin, Dieguez, Paula, Agbor, Anthony, Angedakin, Samuel, Ayimisin, Emmanuel Ayuk, Bessone, Mattia, Brazzola, Gregory, Deschner, Tobias, Eno-Nku, Manasseh, Granjon, Anne‐Céline, Head, Josephine, Kadam, Parag, Kalan, Ammie K., Kambi, Mohamed, Langergraber, Kevin E., Lapuente, Juan, Maretti, Giovanna, Ormsby, Lucy Jayne, Piel, Alex, Robbins, Martha M., Stewart, Fiona, Vergnes, Virginie, Wittig, Roman M., Kühl, Hjalmar, Marqués-Bonet, Tomàs, Hughes, David A., Lizano, Esther, La Caixa, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Max Planck Society, Heinz L. Krekeler Foundation, Fundación la Caixa, European Research Council, European Commission, Howard Hughes Medical Institute, Generalitat de Catalunya, Fontsere, Claudia, Alvarez-Estape, Marina, Lester, Jack D., Arandjelovic, Mimi, Kuhlwilm, Martin, Dieguez, Paula, Agbor, Anthony, Angedakin, Samuel, Ayimisin, Emmanuel Ayuk, Bessone, Mattia, Brazzola, Gregory, Deschner, Tobias, Eno-Nku, Manasseh, Granjon, Anne‐Céline, Head, Josephine, Kadam, Parag, Kalan, Ammie K., Kambi, Mohamed, Langergraber, Kevin E., Lapuente, Juan, Maretti, Giovanna, Ormsby, Lucy Jayne, Piel, Alex, Robbins, Martha M., Stewart, Fiona, Vergnes, Virginie, Wittig, Roman M., Kühl, Hjalmar, Marqués-Bonet, Tomàs, Hughes, David A., and Lizano, Esther
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Noninvasive samples as a source of DNA are gaining interest in genomic studies of endangered species. However, their complex nature and low endogenous DNA content hamper the recovery of good quality data. Target capture has become a productive method to enrich the endogenous fraction of noninvasive samples, such as faeces, but its sensitivity has not yet been extensively studied. Coping with faecal samples with an endogenous DNA content below 1% is a common problem when prior selection of samples from a large collection is not possible. However, samples classified as unfavourable for target capture sequencing might be the only representatives of unique specific geographical locations, or to answer the question of interest. To explore how library complexity may be increased without repeating DNA extractions and generating new libraries, in this study we captured the exome of 60 chimpanzees (Pan troglodytes) using faecal samples with very low proportions of endogenous content (<1%). Our results indicate that by performing additional hybridizations of the same libraries, the molecular complexity can be maintained to achieve higher coverage. Also, whenever possible, the starting DNA material for capture should be increased. Finally, we specifically calculated the sequencing effort needed to avoid exhausting the library complexity of enriched faecal samples with low endogenous DNA content. This study provides guidelines, schemes and tools for laboratories facing the challenges of working with noninvasive samples containing extremely low amounts of endogenous DNA.
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- 2021
13. Predicting range shifts of African apes under global change scenarios
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Terry Brncic, Nikki Tagg, Fiona Maisels, Leon Payne, Josephine Head, Barbara Haurez, Maureen S. McCarthy, Serge A. Wich, Jacob Willie, Sorrel Jones, Angelique Todd, Rebecca Chancellor, Ashley Vosper, Bala Amarasekaran, Fiona A. Stewart, Hedwige Boesch, Erin G. Wessling, José F. C. Wenceslau, Stuart Nixon, Bruce P. Graham, Jacqueline Sunderland-Groves, Annemarie Goedmakers, Andrea Ghiurghi, Jessica Ganas, Tenekwetche Sop, Dismas Hakizimana, Sarah H. Olson, Lilian Pintea, Eno-Nku Manasseh, Adeline Serckx, Joana S. Carvalho, Emmanuel Danquah, Sylvain Gatti, Bartelijntje Buys, Anh Galat-Luong, Nicolas Granier, Emmanuelle Normand, Ilka Herbinger, Annika Hillers, Hjalmar S. Kühl, Elizabeth A. Williamson, Christophe Boesch, Andrew J. Plumptre, Bethan J. Morgan, Richard A. Bergl, Charles-Albert Petre, Osiris A. Doumbé, Gaёlle Bocksberger, Aaron S. Rundus, Alex K. Piel, and Louis Nkembi
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education.field_of_study ,biology ,Ensemble forecasting ,Range (biology) ,Bonobo ,Population ,Global change ,Gorilla ,biology.organism_classification ,Geography ,biology.animal ,Statistics ,Biological dispersal ,IUCN Red List ,education - Abstract
AimModelling African great ape distribution has until now focused on current or past conditions, whilst future scenarios remain scarcely explored. Using an ensemble forecasting approach, we predicted changes in taxon-specific distribution under future scenarios of climate, land-use and human population changes.LocationSub-Saharan AfricaMethodsWe compiled occurrence data on African ape populations from the IUCN A.P.E.S. database and extracted relevant human-, climate- and habitat-related predictors representing current and future (2050) conditions to predict taxon-specific distribution under a best- and a worst-case scenario, using ensemble forecasting. Given the large effect on model predictions, we further tested algorithm sensitivity by considering default and non-default modelling options. The latter included interactions between predictors and polynomial terms in correlative algorithms.ResultsThe future distributions of gorilla and bonobo populations are likely to be directly determined by climate-related variables. In contrast, future chimpanzee distribution is influenced mostly by anthropogenic variables. Both our modelling approaches produced similar model accuracy, although a slight difference in the magnitude of range change was found for Gorilla beringei beringei, G. gorilla diehli, and Pan troglodytes schweinfurthii. On average, a decline of 50% of the geographic range (non-default; or 55% default) is expected under the best scenario if no dispersal occurs (57% non-default or 58% default in worst scenario). However, new areas of suitable habitat are predicted to become available for most taxa if dispersal occurs (81% or 103% best, 93% or 91% worst, non-default and default, respectively), except for G. b. beringei.Main ConclusionsDespite the uncertainty in predicting the precise proportion of suitable habitat by 2050, both modelling approaches predict large range losses for all African apes. Thus, conservation planners urgently need to integrate land-use planning and simultaneously support conservation and climate change mitigation measures at all decision-making levels both in range countries and abroad.
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- 2020
14. Maximizing the acquisition of unique reads in noninvasive capture sequencing experiments
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Fontsere, Claudia, primary, Alvarez‐Estape, Marina, additional, Lester, Jack, additional, Arandjelovic, Mimi, additional, Kuhlwilm, Martin, additional, Dieguez, Paula, additional, Agbor, Anthony, additional, Angedakin, Samuel, additional, Ayuk Ayimisin, Emmanuel, additional, Bessone, Mattia, additional, Brazzola, Gregory, additional, Deschner, Tobias, additional, Eno‐Nku, Manasseh, additional, Granjon, Anne‐Céline, additional, Head, Josephine, additional, Kadam, Parag, additional, Kalan, Ammie K., additional, Kambi, Mohamed, additional, Langergraber, Kevin, additional, Lapuente, Juan, additional, Maretti, Giovanna, additional, Jayne Ormsby, Lucy, additional, Piel, Alex, additional, Robbins, Martha M., additional, Stewart, Fiona, additional, Vergnes, Virginie, additional, Wittig, Roman M., additional, Kühl, Hjalmar S., additional, Marques‐Bonet, Tomas, additional, Hughes, David A., additional, and Lizano, Esther, additional
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- 2020
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15. Late Quaternary habitat suitability models for chimpanzees (Pan troglodytes) since the Last Interglacial (120,000 BP)
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Barratt, Christopher D., primary, Lester, Jack D., additional, Gratton, Paolo, additional, Onstein, Renske E., additional, Kalan, Ammie K., additional, McCarthy, Maureen S., additional, Bocksberger, Gaëlle, additional, White, Lauren C., additional, Vigilant, Linda, additional, Dieguez, Paula, additional, Abdulai, Barrie, additional, Aebischer, Thierry, additional, Agbor, Anthony, additional, Assumang, Alfred Kwabena, additional, Bailey, Emma, additional, Bessone, Mattia, additional, Buys, Bartelijntje, additional, Carvalho, Joana Silva, additional, Chancellor, Rebecca, additional, Cohen, Heather, additional, Danquah, Emmanuel, additional, Deschner, Tobias, additional, Dongmo, Zacharie Nzooh, additional, Doumbé, Osiris A., additional, Dupain, Jef, additional, Duvall, Chris S., additional, Eno-Nku, Manasseh, additional, Etoga, Gilles, additional, Galat-Luong, Anh, additional, Garriga, Rosa, additional, Gatti, Sylvain, additional, Ghiurghi, Andrea, additional, Goedmakers, Annemarie, additional, Granjon, Anne-Céline, additional, Hakizimana, Dismas, additional, Haydar, Nadia, additional, Head, Josephine, additional, Hedwig, Daniela, additional, Herbinger, Ilka, additional, Hermans, Veerle, additional, Jones, Sorrel, additional, Junker, Jessica, additional, Kadam, Parag, additional, Kambi, Mohamed, additional, Kienast, Ivonne, additional, Kouakou, Célestin Yao, additional, N’Goran, Kouamé Paul, additional, Langergraber, Kevin E., additional, Lapuente, Juan, additional, Laudisoit, Anne, additional, Lee, Kevin C., additional, Maisels, Fiona, additional, Moore, Deborah, additional, Morgan, Bethan, additional, Morgan, David, additional, Neil, Emily, additional, Nicholl, Sonia, additional, Nkembi, Louis, additional, Ntongho, Anne, additional, Orbell, Christopher, additional, Ormsby, Lucy Jayne, additional, Pacheco, Liliana, additional, Piel, Alex K., additional, Pintea, Lilian, additional, Plumptre, Andrew J., additional, Rundus, Aaron, additional, Sanz, Crickette, additional, Sommer, Volker, additional, Sop, Tenekwetche, additional, Stewart, Fiona A., additional, Sunderland-Groves, Jacqueline, additional, Tagg, Nikki, additional, Todd, Angelique, additional, Ton, Els, additional, Schijndel, Joost van, additional, VanLeeuwe, Hilde, additional, Vendras, Elleni, additional, Welsh, Adam, additional, Wenceslau, José Francisco Carminatti, additional, Wessling, Erin G., additional, Willie, Jacob, additional, Wittig, Roman M., additional, Yoshihiro, Nakashima, additional, Yuh, Yisa Ginath, additional, Yurkiw, Kyle, additional, Boesch, Christophe, additional, Arandjelovic, Mimi, additional, and Kühl, Hjalmar, additional
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- 2020
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16. An appraisal of ecotourisms impact on biodiversity conservation: The case of Campo Maan National Park, Cameroon
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Gadinga, W. Forje, primary, Tchamba, N. Martin, additional, and Eno-Nku, Manasseh, additional
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- 2020
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17. Cytomegalovirus distribution and evolution in hominines
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Murthy, Sripriya, primary, O’Brien, Kathryn, additional, Agbor, Anthony, additional, Angedakin, Samuel, additional, Arandjelovic, Mimi, additional, Ayimisin, Emmanuel Ayuk, additional, Bailey, Emma, additional, Bergl, Richard A, additional, Brazzola, Gregory, additional, Dieguez, Paula, additional, Eno-Nku, Manasseh, additional, Eshuis, Henk, additional, Fruth, Barbara, additional, Gillespie, Thomas R, additional, Ginath, Yisa, additional, Gray, Maryke, additional, Herbinger, Ilka, additional, Jones, Sorrel, additional, Kehoe, Laura, additional, Kühl, Hjalmar, additional, Kujirakwinja, Deo, additional, Lee, Kevin, additional, Madinda, Nadège F, additional, Mitamba, Guillain, additional, Muhindo, Emmanuel, additional, Nishuli, Radar, additional, Ormsby, Lucy J, additional, Petrzelkova, Klara J, additional, Plumptre, Andrew J, additional, Robbins, Martha M, additional, Sommer, Volker, additional, Ter Heegde, Martijn, additional, Todd, Angelique, additional, Tokunda, Raymond, additional, Wessling, Erin, additional, Jarvis, Michael A, additional, Leendertz, Fabian H, additional, Ehlers, Bernhard, additional, and Calvignac-Spencer, Sébastien, additional
- Published
- 2019
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18. Maximizing the acquisition of unique reads in noninvasive capture sequencing experiments.
- Author
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Fontsere, Claudia, Alvarez‐Estape, Marina, Lester, Jack, Arandjelovic, Mimi, Kuhlwilm, Martin, Dieguez, Paula, Agbor, Anthony, Angedakin, Samuel, Ayuk Ayimisin, Emmanuel, Bessone, Mattia, Brazzola, Gregory, Deschner, Tobias, Eno‐Nku, Manasseh, Granjon, Anne‐Céline, Head, Josephine, Kadam, Parag, Kalan, Ammie K., Kambi, Mohamed, Langergraber, Kevin, and Lapuente, Juan
- Subjects
CHIMPANZEES ,ENDANGERED species ,PSYCHOLOGICAL adaptation ,DNA ,DATA quality ,PLANT hybridization - Abstract
Noninvasive samples as a source of DNA are gaining interest in genomic studies of endangered species. However, their complex nature and low endogenous DNA content hamper the recovery of good quality data. Target capture has become a productive method to enrich the endogenous fraction of noninvasive samples, such as faeces, but its sensitivity has not yet been extensively studied. Coping with faecal samples with an endogenous DNA content below 1% is a common problem when prior selection of samples from a large collection is not possible. However, samples classified as unfavourable for target capture sequencing might be the only representatives of unique specific geographical locations, or to answer the question of interest. To explore how library complexity may be increased without repeating DNA extractions and generating new libraries, in this study we captured the exome of 60 chimpanzees (Pan troglodytes) using faecal samples with very low proportions of endogenous content (<1%). Our results indicate that by performing additional hybridizations of the same libraries, the molecular complexity can be maintained to achieve higher coverage. Also, whenever possible, the starting DNA material for capture should be increased. Finally, we specifically calculated the sequencing effort needed to avoid exhausting the library complexity of enriched faecal samples with low endogenous DNA content. This study provides guidelines, schemes and tools for laboratories facing the challenges of working with noninvasive samples containing extremely low amounts of endogenous DNA. [ABSTRACT FROM AUTHOR]
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- 2021
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19. Nocturnal activity in wild chimpanzees (Pan troglodytes): Evidence for flexible sleeping patterns and insights into human evolution
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Tagg, Nikki, primary, McCarthy, Maureen, additional, Dieguez, Paula, additional, Bocksberger, Gaëlle, additional, Willie, Jacob, additional, Mundry, Roger, additional, Stewart, Fiona, additional, Arandjelovic, Mimi, additional, Widness, Jane, additional, Landsmann, Anja, additional, Agbor, Anthony, additional, Angedakin, Samuel, additional, Ayimisin, Ayuk Emmanuel, additional, Bessone, Mattia, additional, Brazzola, Gregory, additional, Corogenes, Katherine, additional, Deschner, Tobias, additional, Dilambaka, Emmanuel, additional, Eno‐Nku, Manasseh, additional, Eshuis, Henk, additional, Goedmakers, Annemarie, additional, Granjon, Anne‐Céline, additional, Head, Josephine, additional, Hermans, Veerle, additional, Jones, Sorrel, additional, Kadam, Parag, additional, Kambi, Mohamed, additional, Langergraber, Kevin E., additional, Lapeyre, Vincent, additional, Lapuente, Juan, additional, Lee, Kevin, additional, Leinert, Vera, additional, Maretti, Giovanna, additional, Marrocoli, Sergio, additional, Meier, Amelia, additional, Nicholl, Sonia, additional, Normand, Emmanuelle, additional, Ormsby, Lucy Jayne, additional, Piel, Alex, additional, Robinson, Orume, additional, Sommer, Volker, additional, ter Heegde, Martijn, additional, Tickle, Alexander, additional, Ton, Els, additional, van Schijndel, Joost, additional, Vanleeuwe, Hilde, additional, Vergnes, Virginie, additional, Wessling, Erin, additional, Wittig, Roman M., additional, Zuberbuehler, Klaus, additional, Kuehl, Hjalmar, additional, and Boesch, Christophe, additional
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- 2018
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20. Protected Areas in Tropical Africa: Assessing Threats and Conservation Activities
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Tranquilli, Sandra, primary, Abedi-Lartey, Michael, additional, Abernethy, Katharine, additional, Amsini, Fidèle, additional, Asamoah, Augustus, additional, Balangtaa, Cletus, additional, Blake, Stephen, additional, Bouanga, Estelle, additional, Breuer, Thomas, additional, Brncic, Terry M., additional, Campbell, Geneviève, additional, Chancellor, Rebecca, additional, Chapman, Colin A., additional, Davenport, Tim R. B., additional, Dunn, Andrew, additional, Dupain, Jef, additional, Ekobo, Atanga, additional, Eno-Nku, Manasseh, additional, Etoga, Gilles, additional, Furuichi, Takeshi, additional, Gatti, Sylvain, additional, Ghiurghi, Andrea, additional, Hashimoto, Chie, additional, Hart, John A., additional, Head, Josephine, additional, Hega, Martin, additional, Herbinger, Ilka, additional, Hicks, Thurston C., additional, Holbech, Lars H., additional, Huijbregts, Bas, additional, Kühl, Hjalmar S., additional, Imong, Inaoyom, additional, Yeno, Stephane Le-Duc, additional, Linder, Joshua, additional, Marshall, Phil, additional, Lero, Peter Minasoma, additional, Morgan, David, additional, Mubalama, Leonard, additional, N'Goran, Paul K., additional, Nicholas, Aaron, additional, Nixon, Stuart, additional, Normand, Emmanuelle, additional, Nziguyimpa, Leonidas, additional, Nzooh-Dongmo, Zacharie, additional, Ofori-Amanfo, Richard, additional, Ogunjemite, Babafemi G., additional, Petre, Charles-Albert, additional, Rainey, Hugo J., additional, Regnaut, Sebastien, additional, Robinson, Orume, additional, Rundus, Aaron, additional, Sanz, Crickette M., additional, Okon, David Tiku, additional, Todd, Angelique, additional, Warren, Ymke, additional, and Sommer, Volker, additional
- Published
- 2014
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