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413 results on '"Loiselle, Bette A."'

2. Ecological drivers of avian community assembly along a tropical elevation gradient

Author

Montaño‐Centellas, Flavia A, Loiselle, Bette A, and Tingley, Morgan W

Subjects
Life Below Water, abiotic filtering, competition, habitat complexity, N-mixture models, phylogenetic diversity, temperature, trait dispersion, Ecological Applications, Environmental Science and Management, Ecology
Abstract

Community assembly theory hypothesizes that two main niche-based processes act to shape composition and organization of biological assemblages: abiotic filtering and biological interactions. Here, we conducted repeated surveys of bird abundance along an undisturbed elevational gradient in the tropical Andes to investigate 1) signals of deterministic processes driving community assembly and 2) potential mechanisms by which these forces operate (temperature, habitat complexity, fruit and insect availability), while correcting for imperfect detection and modeling species abundances with N-mixture models. We observed strong signals of abiotic filtering driving functionally and phylogenetically clustered assemblages towards higher elevations, and a weaker signal of limiting similarity resulting in few overdispersed assemblages at lower elevations. Whereas the decay in species richness with increasing elevation was explained by temperature, trait and phylogenetic dispersion were explained by both temperature and vegetation structure, implying that an interplay of abiotic and biotic mechanisms determines abundance-based community structure in our montane assemblages. Interestingly, trait and phylogenetic dispersion consistently decreased until ~3000 m but increased above this elevation, highlighting a potential role of competition in resource-scarce habitats. Combined, our findings suggest abiotic filters are still the main process shaping montane biotas across elevations, whereas resource availability might act locally upon assemblages further modifying them. Our study challenges recent studies in tropical mountains that suggest that biotic filters are a stronger force than abiotic filters in shaping tropical montane assemblages, and exemplifies how accounting for imperfect detection might overcome potential biases in detecting environmental filtering signals in community assembly studies.

Published
2021

3. Advancing an interdisciplinary framework to study seed dispersal ecology

Author

Beckman, Noelle G, Aslan, Clare E, Rogers, Haldre S, Kogan, Oleg, Bronstein, Judith L, Bullock, James M, Hartig, Florian, HilleRisLambers, Janneke, Zhou, Ying, Zurell, Damaris, Brodie, Jedediah F, Bruna, Emilio M, Cantrell, Robert Stephen, Decker, Robin R, Efiom, Edu, Fricke, Evan C, Gurski, Katherine, Hastings, Alan, Johnson, Jeremy S, Loiselle, Bette A, Miriti, Maria N, Neubert, Michael G, Pejchar, Liba, Poulsen, John R, Pufal, Gesine, Razafindratsima, Onja H, Sandor, Manette E, Shea, Katriona, Schreiber, Sebastian, Schupp, Eugene W, Snell, Rebecca S, Strickland, Christopher, and Zambrano, Jenny

Subjects
Analytical models, demography, global change, individual-based models, long-distance seed dispersal, population models, seed dispersal, Plant Biology
Abstract

Although dispersal is generally viewed as a crucial determinant for the fitness of any organism, our understanding of its role in the persistence and spread of plant populations remains incomplete. Generalizing and predicting dispersal processes are challenging due to context dependence of seed dispersal, environmental heterogeneity and interdependent processes occurring over multiple spatial and temporal scales. Current population models often use simple phenomenological descriptions of dispersal processes, limiting their ability to examine the role of population persistence and spread, especially under global change. To move seed dispersal ecology forward, we need to evaluate the impact of any single seed dispersal event within the full spatial and temporal context of a plant's life history and environmental variability that ultimately influences a population's ability to persist and spread. In this perspective, we provide guidance on integrating empirical and theoretical approaches that account for the context dependency of seed dispersal to improve our ability to generalize and predict the consequences of dispersal, and its anthropogenic alteration, across systems. We synthesize suitable theoretical frameworks for this work and discuss concepts, approaches and available data from diverse subdisciplines to help operationalize concepts, highlight recent breakthroughs across research areas and discuss ongoing challenges and open questions. We address knowledge gaps in the movement ecology of seeds and the integration of dispersal and demography that could benefit from such a synthesis. With an interdisciplinary perspective, we will be able to better understand how global change will impact seed dispersal processes, and potential cascading effects on plant population persistence, spread and biodiversity.

Published
2020

5. The total dispersal kernel: a review and future directions.

Author

Rogers, Haldre S, Beckman, Noelle G, Hartig, Florian, Johnson, Jeremy S, Pufal, Gesine, Shea, Katriona, Zurell, Damaris, Bullock, James M, Cantrell, Robert Stephen, Loiselle, Bette, Pejchar, Liba, Razafindratsima, Onja H, Sandor, Manette E, Schupp, Eugene W, Strickland, W Christopher, and Zambrano, Jenny

Subjects
Defaunation, dispersal vector, frugivore, mathematical modeling, seed dispersal, seed dispersal effectiveness, total dispersal kernel, total effective dispersal kernel, wind, Plant Biology
Abstract

The distribution and abundance of plants across the world depends in part on their ability to move, which is commonly characterized by a dispersal kernel. For seeds, the total dispersal kernel (TDK) describes the combined influence of all primary, secondary and higher-order dispersal vectors on the overall dispersal kernel for a plant individual, population, species or community. Understanding the role of each vector within the TDK, and their combined influence on the TDK, is critically important for being able to predict plant responses to a changing biotic or abiotic environment. In addition, fully characterizing the TDK by including all vectors may affect predictions of population spread. Here, we review existing research on the TDK and discuss advances in empirical, conceptual modelling and statistical approaches that will facilitate broader application. The concept is simple, but few examples of well-characterized TDKs exist. We find that significant empirical challenges exist, as many studies do not account for all dispersal vectors (e.g. gravity, higher-order dispersal vectors), inadequately measure or estimate long-distance dispersal resulting from multiple vectors and/or neglect spatial heterogeneity and context dependence. Existing mathematical and conceptual modelling approaches and statistical methods allow fitting individual dispersal kernels and combining them to form a TDK; these will perform best if robust prior information is available. We recommend a modelling cycle to parameterize TDKs, where empirical data inform models, which in turn inform additional data collection. Finally, we recommend that the TDK concept be extended to account for not only where seeds land, but also how that location affects the likelihood of establishing and producing a reproductive adult, i.e. the total effective dispersal kernel.

Published
2019

6. Consequences of intraspecific variation in seed dispersal for plant demography, communities, evolution and global change.

Author

Snell, Rebecca, Beckman, Noelle, Fricke, Evan, Loiselle, Bette, Carvalho, Carolina, Jones, Landon, Lichti, Nathanael, Lustenhouwer, Nicky, Schreiber, Sebastian, Strickland, Christopher, Sullivan, Lauren, Cavazos, Brittany, Giladi, Itamar, Hastings, Alan, Holbrook, Kimberly, Jongejans, Eelke, Kogan, Oleg, Montaño-Centellas, Flavia, Rudolph, Javiera, Rogers, Haldre, Zwolak, Rafal, and Schupp, Eugene

Subjects
Global change, interspecific, intraspecific, long-distance dispersal, population, seed dispersal, spread, variability, within species
Abstract

As the single opportunity for plants to move, seed dispersal has an important impact on plant fitness, species distributions and patterns of biodiversity. However, models that predict dynamics such as risk of extinction, range shifts and biodiversity loss tend to rely on the mean value of parameters and rarely incorporate realistic dispersal mechanisms. By focusing on the mean population value, variation among individuals or variability caused by complex spatial and temporal dynamics is ignored. This calls for increased efforts to understand individual variation in dispersal and integrate it more explicitly into population and community models involving dispersal. However, the sources, magnitude and outcomes of intraspecific variation in dispersal are poorly characterized, limiting our understanding of the role of dispersal in mediating the dynamics of communities and their response to global change. In this manuscript, we synthesize recent research that examines the sources of individual variation in dispersal and emphasize its implications for plant fitness, populations and communities. We argue that this intraspecific variation in seed dispersal does not simply add noise to systems, but, in fact, alters dispersal processes and patterns with consequences for demography, communities, evolution and response to anthropogenic changes. We conclude with recommendations for moving this field of research forward.

Published
2019

7. Employing plant functional groups to advance seed dispersal ecology and conservation.

Author

Aslan, Clare, Beckman, Noelle G, Rogers, Haldre S, Bronstein, Judie, Zurell, Damaris, Hartig, Florian, Shea, Katriona, Pejchar, Liba, Neubert, Mike, Poulsen, John, HilleRisLambers, Janneke, Miriti, Maria, Loiselle, Bette, Effiom, Edu, Zambrano, Jenny, Schupp, Geno, Pufal, Gesine, Johnson, Jeremy, Bullock, James M, Brodie, Jedediah, Bruna, Emilio, Cantrell, Robert Stephen, Decker, Robin, Fricke, Evan, Gurski, Katie, Hastings, Alan, Kogan, Oleg, Razafindratsima, Onja, Sandor, Manette, Schreiber, Sebastian, Snell, Rebecca, Strickland, Christopher, and Zhou, Ying

Subjects
dependency, directed dispersal, dispersal vectors, generalization, mutualism, seed dispersal effectiveness, Plant Biology
Abstract

Seed dispersal enables plants to reach hospitable germination sites and escape natural enemies. Understanding when and how much seed dispersal matters to plant fitness is critical for understanding plant population and community dynamics. At the same time, the complexity of factors that determine if a seed will be successfully dispersed and subsequently develop into a reproductive plant is daunting. Quantifying all factors that may influence seed dispersal effectiveness for any potential seed-vector relationship would require an unrealistically large amount of time, materials and financial resources. On the other hand, being able to make dispersal predictions is critical for predicting whether single species and entire ecosystems will be resilient to global change. Building on current frameworks, we here posit that seed dispersal ecology should adopt plant functional groups as analytical units to reduce this complexity to manageable levels. Functional groups can be used to distinguish, for their constituent species, whether it matters (i) if seeds are dispersed, (ii) into what context they are dispersed and (iii) what vectors disperse them. To avoid overgeneralization, we propose that the utility of these functional groups may be assessed by generating predictions based on the groups and then testing those predictions against species-specific data. We suggest that data collection and analysis can then be guided by robust functional group definitions. Generalizing across similar species in this way could help us to better understand the population and community dynamics of plants and tackle the complexity of seed dispersal as well as its disruption.

Published
2019

10. Dense sampling of bird diversity increases power of comparative genomics

Author

Feng, Shaohong, Stiller, Josefin, Deng, Yuan, Armstrong, Joel, Fang, Qi, Reeve, Andrew Hart, Xie, Duo, Chen, Guangji, Guo, Chunxue, Faircloth, Brant C., Petersen, Bent, Wang, Zongji, Zhou, Qi, Diekhans, Mark, Chen, Wanjun, Andreu-Sánchez, Sergio, Margaryan, Ashot, Howard, Jason Travis, Parent, Carole, Pacheco, George, Sinding, Mikkel-Holger S., Puetz, Lara, Cavill, Emily, Ribeiro, Ângela M., Eckhart, Leopold, Fjeldså, Jon, Hosner, Peter A., Brumfield, Robb T., Christidis, Les, Bertelsen, Mads F., Sicheritz-Ponten, Thomas, Tietze, Dieter Thomas, Robertson, Bruce C., Song, Gang, Borgia, Gerald, Claramunt, Santiago, Lovette, Irby J., Cowen, Saul J., Njoroge, Peter, Dumbacher, John Philip, Ryder, Oliver A., Fuchs, Jérôme, Bunce, Michael, Burt, David W., Cracraft, Joel, Meng, Guanliang, Hackett, Shannon J., Ryan, Peter G., Jønsson, Knud Andreas, Jamieson, Ian G., da Fonseca, Rute R., Braun, Edward L., Houde, Peter, Mirarab, Siavash, Suh, Alexander, Hansson, Bengt, Ponnikas, Suvi, Sigeman, Hanna, Stervander, Martin, Frandsen, Paul B., van der Zwan, Henriette, van der Sluis, Rencia, Visser, Carina, Balakrishnan, Christopher N., Clark, Andrew G., Fitzpatrick, John W., Bowman, Reed, Chen, Nancy, Cloutier, Alison, Sackton, Timothy B., Edwards, Scott V., Foote, Dustin J., Shakya, Subir B., Sheldon, Frederick H., Vignal, Alain, Soares, André E. R., Shapiro, Beth, González-Solís, Jacob, Ferrer-Obiol, Joan, Rozas, Julio, Riutort, Marta, Tigano, Anna, Friesen, Vicki, Dalén, Love, Urrutia, Araxi O., Székely, Tamás, Liu, Yang, Campana, Michael G., Corvelo, André, Fleischer, Robert C., Rutherford, Kim M., Gemmell, Neil J., Dussex, Nicolas, Mouritsen, Henrik, Thiele, Nadine, Delmore, Kira, Liedvogel, Miriam, Franke, Andre, Hoeppner, Marc P., Krone, Oliver, Fudickar, Adam M., Milá, Borja, Ketterson, Ellen D., Fidler, Andrew Eric, Friis, Guillermo, Parody-Merino, Ángela M., Battley, Phil F., Cox, Murray P., Lima, Nicholas Costa Barroso, Prosdocimi, Francisco, Parchman, Thomas Lee, Schlinger, Barney A., Loiselle, Bette A., Blake, John G., Lim, Haw Chuan, Day, Lainy B., Fuxjager, Matthew J., Baldwin, Maude W., Braun, Michael J., Wirthlin, Morgan, Dikow, Rebecca B., Ryder, T. Brandt, Camenisch, Glauco, Keller, Lukas F., DaCosta, Jeffrey M., Hauber, Mark E., Louder, Matthew I. M., Witt, Christopher C., McGuire, Jimmy A., Mudge, Joann, Megna, Libby C., Carling, Matthew D., Wang, Biao, Taylor, Scott A., Del-Rio, Glaucia, Aleixo, Alexandre, Vasconcelos, Ana Tereza Ribeiro, Mello, Claudio V., Weir, Jason T., Haussler, David, Li, Qiye, Yang, Huanming, Wang, Jian, Lei, Fumin, Rahbek, Carsten, Gilbert, M. Thomas P., Graves, Gary R., Jarvis, Erich D., Paten, Benedict, and Zhang, Guojie

Published
2020
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17. Novel Methods Improve Prediction of Species' Distributions from Occurrence Data

Author

Elith, Jane, Graham, Catherine H., Anderson, Robert P., Dudík, Miroslav, Ferrier, Simon, Guisan, Antoine, Hijmans, Robert J., Huettmann, Falk, Leathwick, John R., Lehmann, Anthony, Li, Jin, Lohmann, Lucia G., Loiselle, Bette A., Manion, Glenn, Moritz, Craig, Nakamura, Miguel, Nakazawa, Yoshinori, Peterson, A. Townsend, Phillips, Steven J., Richardson, Karen, Scachetti-Pereira, Ricardo, Schapire, Robert E., Soberón, Jorge, Williams, Stephen, Wisz, Mary S., Zimmermann, Niklaus E., and Araujo, Miguel

Published
2006

29. Author Correction: Dense sampling of bird diversity increases power of comparative genomics

Author

Feng, Shaohong, Stiller, Josefin, Deng, Yuan, Armstrong, Joel, Fang, Qi, Reeve, Andrew Hart, Xie, Duo, Chen, Guangji, Guo, Chunxue, Faircloth, Brant C., Petersen, Bent, Wang, Zongji, Zhou, Qi, Diekhans, Mark, Chen, Wanjun, Andreu-Sánchez, Sergio, Margaryan, Ashot, Howard, Jason Travis, Parent, Carole, Pacheco, George, Sinding, Mikkel-Holger S., Puetz, Lara, Cavill, Emily, Ribeiro, Ângela M., Eckhart, Leopold, Fjeldså, Jon, Hosner, Peter A., Brumfield, Robb T., Christidis, Les, Bertelsen, Mads F., Sicheritz-Ponten, Thomas, Tietze, Dieter Thomas, Robertson, Bruce C., Song, Gang, Borgia, Gerald, Claramunt, Santiago, Lovette, Irby J., Cowen, Saul J., Njoroge, Peter, Dumbacher, John Philip, Ryder, Oliver A., Fuchs, Jérôme, Bunce, Michael, Burt, David W., Cracraft, Joel, Meng, Guanliang, Hackett, Shannon J., Ryan, Peter G., Jønsson, Knud Andreas, Jamieson, Ian G., da Fonseca, Rute R., Braun, Edward L., Houde, Peter, Mirarab, Siavash, Suh, Alexander, Hansson, Bengt, Ponnikas, Suvi, Sigeman, Hanna, Stervander, Martin, Frandsen, Paul B., van der Zwan, Henriette, van der Sluis, Rencia, Visser, Carina, Balakrishnan, Christopher N., Clark, Andrew G., Fitzpatrick, John W., Bowman, Reed, Chen, Nancy, Cloutier, Alison, Sackton, Timothy B., Edwards, Scott V., Foote, Dustin J., Shakya, Subir B., Sheldon, Frederick H., Vignal, Alain, Soares, André E. R., Shapiro, Beth, González-Solís, Jacob, Ferrer-Obiol, Joan, Rozas, Julio, Riutort, Marta, Tigano, Anna, Friesen, Vicki, Dalén, Love, Urrutia, Araxi O., Székely, Tamás, Liu, Yang, Campana, Michael G., Corvelo, André, Fleischer, Robert C., Rutherford, Kim M., Gemmell, Neil J., Dussex, Nicolas, Mouritsen, Henrik, Thiele, Nadine, Delmore, Kira, Liedvogel, Miriam, Franke, Andre, Hoeppner, Marc P., Krone, Oliver, Fudickar, Adam M., Milá, Borja, Ketterson, Ellen D., Fidler, Andrew Eric, Friis, Guillermo, Parody-Merino, Ángela M., Battley, Phil F., Cox, Murray P., Lima, Nicholas Costa Barroso, Prosdocimi, Francisco, Parchman, Thomas Lee, Schlinger, Barney A., Loiselle, Bette A., Blake, John G., Lim, Haw Chuan, Day, Lainy B., Fuxjager, Matthew J., Baldwin, Maude W., Braun, Michael J., Wirthlin, Morgan, Dikow, Rebecca B., Ryder, T. Brandt, Camenisch, Glauco, Keller, Lukas F., DaCosta, Jeffrey M., Hauber, Mark E., Louder, Matthew I. M., Witt, Christopher C., McGuire, Jimmy A., Mudge, Joann, Megna, Libby C., Carling, Matthew D., Wang, Biao, Taylor, Scott A., Del-Rio, Glaucia, Aleixo, Alexandre, Vasconcelos, Ana Tereza Ribeiro, Mello, Claudio V., Weir, Jason T., Haussler, David, Li, Qiye, Yang, Huanming, Wang, Jian, Lei, Fumin, Rahbek, Carsten, Gilbert, M. Thomas P., Graves, Gary R., Jarvis, Erich D., Paten, Benedict, and Zhang, Guojie

Published
2021
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37. Connecting Amazonian historical biogeography and local assemblages of understorey birds: Recurrent guild proportionality within areas of endemism

Author

Braga, Pilar L. M., primary, Borges, Sérgio H., additional, Peres, Carlos A., additional, Loiselle, Bette A., additional, Blake, John G., additional, Menger, Juliana, additional, Bueno, Anderson S., additional, Anciães, Marina, additional, Teófilo, Fernando H., additional, Maximiano, Marina F. A., additional, Souza, Affonso H. N., additional, Boss, Roberta L., additional, and Baccaro, Fabricio B., additional

Published
2022
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41. Participatory Mapping for Strengthening Environmental Governance on Socio-Ecological Impacts of Infrastructure in the Amazon: Lessons to Improve Tools and Strategies

Author

Mere-Roncal, Carla, primary, Cardoso Carrero, Gabriel, additional, Chavez, Andrea Birgit, additional, Almeyda Zambrano, Angelica Maria, additional, Loiselle, Bette, additional, Veluk Gutierrez, Felipe, additional, Luna-Celino, Vanessa, additional, Arteaga, Marliz, additional, Schmitz Bongiolo, Eduardo, additional, Segura Tomasi, André, additional, Van Damme, Paul André, additional, Lizarro Zapata, Dennis Edgar, additional, and Broadbent, Eben North, additional

Published
2021
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