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2. Climate, food and humans predict communities of mammals in the United States

Author

Kays, Roland, Snider, Matthew H., Hess, George, Cove, Michael V., Jensen, Alex, Shamon, Hila, McShea, William J., Rooney, Brigit, Allen, Maximilian L., Pekins, Charles E., Wilmers, Christopher C., Pendergast, Mary E., Green, Austin M., Suraci, Justin, Leslie, Matthew S., Nasrallah, Sophie, Farkas, Dan, Jordan, Mark, Grigione, Melissa, LaScaleia, Michael C., Davis, Miranda L., Hansen, Chris, Millspaugh, Josh, Lewis, Jesse S., Havrda, Michael, Long, Robert, Remine, Kathryn R., Jaspers, Kodi J., Lafferty, Diana J. R., Hubbard, Tru, Studds, Colin E., Barthelmess, Erika L., Andy, Katherine, Romero, Andrea, O'Neill, Brian J., Hawkins, Melissa T. R., Lombardi, Jason V., Sergeyev, Maksim, Fisher-Reid, M. Caitlin, Rentz, Michael S., Nagy, Christopher, Davenport, Jon M., Rega-Brodsky, Christine C., Appel, Cara L., Lesmeister, Damon B., Giery, Sean T., Whittier, Christopher A., Alston, Jesse M., Sutherland, Chris, Rota, Christopher, Murphy, Thomas, Lee, Thomas E., Mortelliti, Alessio, Bergman, Dylan L., Compton, Justin A., Gerber, Brian D., Burr, Jess, Rezendes, Kylie, DeGregorio, Brett A., Wehr, Nathaniel H., Benson, John F., O’Mara, M. Teague, Jachowski, David S., Gray, Morgan, Beyer, Dean E., Belant, Jerrold L., Horan, Robert V., Lonsinger, Robert C., Kuhn, Kellie M., Hasstedt, Steven C. M., Zimova, Marketa, Moore, Sophie M., Herrera, Daniel J., Fritts, Sarah, Edelman, Andrew J., Flaherty, Elizabeth A., Petroelje, Tyler R., Neiswenter, Sean A., Risch, Derek R., Iannarilli, Fabiola, van der Merwe, Marius, Maher, Sean P., Farris, Zach J., Webb, Stephen L., Mason, David S., Lashley, Marcus A., Wilson, Andrew M., Vanek, John P., Wehr, Samuel R., Conner, L. Mike, Beasley, James C., Bontrager, Helen L., Baruzzi, Carolina, Ellis-Felege, Susan N., Proctor, Mike D., Schipper, Jan, Weiss, Katherine C. B., Darracq, Andrea K., Barr, Evan G., Alexander, Peter D., Şekercioğlu, Çağan H., Bogan, Daniel A., Schalk, Christopher M., Fantle-Lepczyk, Jean E., Lepczyk, Christopher A., LaPoint, Scott, Whipple, Laura S., Rowe, Helen Ivy, Mullen, Kayleigh, Bird, Tori, Zorn, Adam, Brandt, LaRoy, Lathrop, Richard G., McCain, Craig, Crupi, Anthony P., Clark, James, and Parsons, Arielle

Published
2024

3. Latitudinal patterns in stabilizing density dependence of forest communities.

Author

Holík, Jan, Howe, Robert, Hubbell, Stephen, Itoh, Akira, Johnson, Daniel, Kenfack, David, Král, Kamil, Larson, Andrew, Lutz, James, Makana, Jean-Remy, Malhi, Yadvinder, McMahon, Sean, McShea, William, Mohamad, Mohizah, Nasardin, Musalmah, Nathalang, Anuttara, Norden, Natalia, Oliveira, Alexandre, Parmigiani, Renan, Perez, Rolando, Phillips, Richard, Pongpattananurak, Nantachai, Sun, I-Fang, Swanson, Mark, Tan, Sylvester, Thomas, Duncan, Thompson, Jill, Uriarte, Maria, Wolf, Amy, Yao, Tze, Zimmerman, Jess, Zuleta, Daniel, Hartig, Florian, Hülsmann, Lisa, Chisholm, Ryan, Comita, Liza, Visser, Marco, de Souza Leite, Melina, Aguilar, Salomon, Anderson-Teixeira, Kristina, Bourg, Norman, Brockelman, Warren, Bunyavejchewin, Sarayudh, Castaño, Nicolas, Chang-Yang, Chia-Hao, Chuyong, George, Clay, Keith, Davies, Stuart, Duque, Alvaro, Ediriweera, Sisira, Ewango, Corneille, and Gilbert, Gregory|Greg

Subjects
Seedlings, Tropical Climate, Forests, Trees, Biodiversity, Ecosystem
Abstract

Numerous studies have shown reduced performance in plants that are surrounded by neighbours of the same species1,2, a phenomenon known as conspecific negative density dependence (CNDD)3. A long-held ecological hypothesis posits that CNDD is more pronounced in tropical than in temperate forests4,5, which increases community stabilization, species coexistence and the diversity of local tree species6,7. Previous analyses supporting such a latitudinal gradient in CNDD8,9 have suffered from methodological limitations related to the use of static data10-12. Here we present a comprehensive assessment of latitudinal CNDD patterns using dynamic mortality data to estimate species-site-specific CNDD across 23 sites. Averaged across species, we found that stabilizing CNDD was present at all except one site, but that average stabilizing CNDD was not stronger toward the tropics. However, in tropical tree communities, rare and intermediate abundant species experienced stronger stabilizing CNDD than did common species. This pattern was absent in temperate forests, which suggests that CNDD influences species abundances more strongly in tropical forests than it does in temperate ones13. We also found that interspecific variation in CNDD, which might attenuate its stabilizing effect on species diversity14,15, was high but not significantly different across latitudes. Although the consequences of these patterns for latitudinal diversity gradients are difficult to evaluate, we speculate that a more effective regulation of population abundances could translate into greater stabilization of tropical tree communities and thus contribute to the high local diversity of tropical forests.

Published
2024

5. Cover

Author

Feldhamer, George A. and McShea, William J.

Published
2012

6. Introduction

Author

Feldhamer, George A. and McShea, William J.

Published
2012

9. 4. Deer Behavior

Author

Feldhamer, George A. and McShea, William J.

Published
2012

11. Acknowledgments

Author

Feldhamer, George A. and McShea, William J.

Published
2012

16. 5. Deer Ecology

Author

Feldhamer, George A. and McShea, William J.

Published
2012

18. 8. Deer and Humans

Author

Feldhamer, George A. and McShea, William J.

Published
2012

19. Bibliography

Author

Feldhamer, George A. and McShea, William J.

Published
2012

20. 12. “Deerology'

Author

Feldhamer, George A. and McShea, William J.

Published
2012

24. Mycorrhizal feedbacks influence global forest structure and diversity.

Author

Delavaux, Camille, LaManna, Joseph, Myers, Jonathan, Phillips, Richard, Aguilar, Salomón, Allen, David, Alonso, Alfonso, Anderson-Teixeira, Kristina, Baker, Matthew, Baltzer, Jennifer, Bissiengou, Pulchérie, Bonfim, Mariana, Bourg, Norman, Brockelman, Warren, Burslem, David, Chang, Li-Wan, Chen, Yang, Chiang, Jyh-Min, Chu, Chengjin, Clay, Keith, Cordell, Susan, Cortese, Mary, den Ouden, Jan, Dick, Christopher, Ediriweera, Sisira, Ellis, Erle, Feistner, Anna, Freestone, Amy, Giambelluca, Thomas, Giardina, Christian, He, Fangliang, Holík, Jan, Howe, Robert, Huaraca Huasca, Walter, Hubbell, Stephen, Inman, Faith, Jansen, Patrick, Johnson, Daniel, Kral, Kamil, Larson, Andrew, Litton, Creighton, Lutz, James, Malhi, Yadvinder, McGuire, Krista, McMahon, Sean, McShea, William, Memiaghe, Hervé, Nathalang, Anuttara, Norden, Natalia, Novotny, Vojtech, OBrien, Michael, Orwig, David, Ostertag, Rebecca, Parker, Geoffrey, Pérez, Rolando, Reynolds, Glen, Russo, Sabrina, Sack, Lawren, Šamonil, Pavel, Sun, I-Fang, Swanson, Mark, Thompson, Jill, Uriarte, Maria, Vandermeer, John, Wang, Xihua, Ware, Ian, Weiblen, George, Wolf, Amy, Wu, Shu-Hui, Zimmerman, Jess, Lauber, Thomas, Maynard, Daniel, Crowther, Thomas, Averill, Colin, and Gilbert, Gregory|Greg

Subjects
Mycorrhizae, Feedback, Symbiosis, Plants, Soil
Abstract

One mechanism proposed to explain high species diversity in tropical systems is strong negative conspecific density dependence (CDD), which reduces recruitment of juveniles in proximity to conspecific adult plants. Although evidence shows that plant-specific soil pathogens can drive negative CDD, trees also form key mutualisms with mycorrhizal fungi, which may counteract these effects. Across 43 large-scale forest plots worldwide, we tested whether ectomycorrhizal tree species exhibit weaker negative CDD than arbuscular mycorrhizal tree species. We further tested for conmycorrhizal density dependence (CMDD) to test for benefit from shared mutualists. We found that the strength of CDD varies systematically with mycorrhizal type, with ectomycorrhizal tree species exhibiting higher sapling densities with increasing adult densities than arbuscular mycorrhizal tree species. Moreover, we found evidence of positive CMDD for tree species of both mycorrhizal types. Collectively, these findings indicate that mycorrhizal interactions likely play a foundational role in global forest diversity patterns and structure.

Published
2023

25. Mammal responses to global changes in human activity vary by trophic group and landscape

Author

Burton, A. Cole, Beirne, Christopher, Gaynor, Kaitlyn M., Sun, Catherine, Granados, Alys, Allen, Maximilian L., Alston, Jesse M., Alvarenga, Guilherme C., Calderón, Francisco Samuel Álvarez, Amir, Zachary, Anhalt-Depies, Christine, Appel, Cara, Arroyo-Arce, Stephanny, Balme, Guy, Bar-Massada, Avi, Barcelos, Daniele, Barr, Evan, Barthelmess, Erika L., Baruzzi, Carolina, Basak, Sayantani M., Beenaerts, Natalie, Belmaker, Jonathan, Belova, Olgirda, Bezarević, Branko, Bird, Tori, Bogan, Daniel A., Bogdanović, Neda, Boyce, Andy, Boyce, Mark, Brandt, LaRoy, Brodie, Jedediah F., Brooke, Jarred, Bubnicki, Jakub W., Cagnacci, Francesca, Carr, Benjamin Scott, Carvalho, João, Casaer, Jim, Černe, Rok, Chen, Ron, Chow, Emily, Churski, Marcin, Cincotta, Connor, Ćirović, Duško, Coates, T. D., Compton, Justin, Coon, Courtney, Cove, Michael V., Crupi, Anthony P., Farra, Simone Dal, Darracq, Andrea K., Davis, Miranda, Dawe, Kimberly, De Waele, Valerie, Descalzo, Esther, Diserens, Tom A., Drimaj, Jakub, Duľa, Martin, Ellis-Felege, Susan, Ellison, Caroline, Ertürk, Alper, Fantle-Lepczyk, Jean, Favreau, Jorie, Fennell, Mitch, Ferreras, Pablo, Ferretti, Francesco, Fiderer, Christian, Finnegan, Laura, Fisher, Jason T., Fisher-Reid, M. Caitlin, Flaherty, Elizabeth A., Fležar, Urša, Flousek, Jiří, Foca, Jennifer M., Ford, Adam, Franzetti, Barbara, Frey, Sandra, Fritts, Sarah, Frýbová, Šárka, Furnas, Brett, Gerber, Brian, Geyle, Hayley M., Giménez, Diego G., Giordano, Anthony J., Gomercic, Tomislav, Gompper, Matthew E., Gräbin, Diogo Maia, Gray, Morgan, Green, Austin, Hagen, Robert, Hagen, Robert (Bob), Hammerich, Steven, Hanekom, Catharine, Hansen, Christopher, Hasstedt, Steven, Hebblewhite, Mark, Heurich, Marco, Hofmeester, Tim R., Hubbard, Tru, Jachowski, David, Jansen, Patrick A., Jaspers, Kodi Jo, Jensen, Alex, Jordan, Mark, Kaizer, Mariane C., Kelly, Marcella J., Kohl, Michel T., Kramer-Schadt, Stephanie, Krofel, Miha, Krug, Andrea, Kuhn, Kellie M., Kuijper, Dries P. J., Kuprewicz, Erin K., Kusak, Josip, Kutal, Miroslav, Lafferty, Diana J. R., LaRose, Summer, Lashley, Marcus, Lathrop, Richard, Lee, Jr, Thomas E., Lepczyk, Christopher, Lesmeister, Damon B., Licoppe, Alain, Linnell, Marco, Loch, Jan, Long, Robert, Lonsinger, Robert C., Louvrier, Julie, Luskin, Matthew Scott, MacKay, Paula, Maher, Sean, Manet, Benoît, Mann, Gareth K. H., Marshall, Andrew J., Mason, David, McDonald, Zara, McKay, Tracy, McShea, William J., Mechler, Matt, Miaud, Claude, Millspaugh, Joshua J., Monteza-Moreno, Claudio M., Moreira-Arce, Dario, Mullen, Kayleigh, Nagy, Christopher, Naidoo, Robin, Namir, Itai, Nelson, Carrie, O’Neill, Brian, O’Mara, M. Teague, Oberosler, Valentina, Osorio, Christian, Ossi, Federico, Palencia, Pablo, Pearson, Kimberly, Pedrotti, Luca, Pekins, Charles E., Pendergast, Mary, Pinho, Fernando F., Plhal, Radim, Pocasangre-Orellana, Xochilt, Price, Melissa, Procko, Michael, Proctor, Mike D., Ramalho, Emiliano Esterci, Ranc, Nathan, Reljic, Slaven, Remine, Katie, Rentz, Michael, Revord, Ronald, Reyna-Hurtado, Rafael, Risch, Derek, Ritchie, Euan G., Romero, Andrea, Rota, Christopher, Rovero, Francesco, Rowe, Helen, Rutz, Christian, Salvatori, Marco, Sandow, Derek, Schalk, Christopher M., Scherger, Jenna, Schipper, Jan, Scognamillo, Daniel G., Şekercioğlu, Çağan H., Semenzato, Paola, Sevin, Jennifer, Shamon, Hila, Shier, Catherine, Silva-Rodríguez, Eduardo A., Sindicic, Magda, Smyth, Lucy K., Soyumert, Anil, Sprague, Tiffany, St. Clair, Colleen Cassady, Stenglein, Jennifer, Stephens, Philip A., Stępniak, Kinga Magdalena, Stevens, Michael, Stevenson, Cassondra, Ternyik, Bálint, Thomson, Ian, Torres, Rita T., Tremblay, Joan, Urrutia, Tomas, Vacher, Jean-Pierre, Visscher, Darcy, Webb, Stephen L., Weber, Julian, Weiss, Katherine C. B., Whipple, Laura S., Whittier, Christopher A., Whittington, Jesse, Wierzbowska, Izabela, Wikelski, Martin, Williamson, Jacque, Wilmers, Christopher C., Windle, Todd, Wittmer, Heiko U., Zharikov, Yuri, Zorn, Adam, and Kays, Roland

Published
2024
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26. Latitudinal patterns in stabilizing density dependence of forest communities

Author

Hülsmann, Lisa, Chisholm, Ryan A., Comita, Liza, Visser, Marco D., de Souza Leite, Melina, Aguilar, Salomon, Anderson-Teixeira, Kristina J., Bourg, Norman A., Brockelman, Warren Y., Bunyavejchewin, Sarayudh, Castaño, Nicolas, Chang-Yang, Chia-Hao, Chuyong, George B., Clay, Keith, Davies, Stuart J., Duque, Alvaro, Ediriweera, Sisira, Ewango, Corneille, Gilbert, Gregory S., Holík, Jan, Howe, Robert W., Hubbell, Stephen P., Itoh, Akira, Johnson, Daniel J., Kenfack, David, Král, Kamil, Larson, Andrew J., Lutz, James A., Makana, Jean-Remy, Malhi, Yadvinder, McMahon, Sean M., McShea, William J., Mohamad, Mohizah, Nasardin, Musalmah, Nathalang, Anuttara, Norden, Natalia, Oliveira, Alexandre A., Parmigiani, Renan, Perez, Rolando, Phillips, Richard P., Pongpattananurak, Nantachai, Sun, I-Fang, Swanson, Mark E., Tan, Sylvester, Thomas, Duncan, Thompson, Jill, Uriarte, Maria, Wolf, Amy T., Yao, Tze Leong, Zimmerman, Jess K., Zuleta, Daniel, and Hartig, Florian

Published
2024
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27. Demographic composition, not demographic diversity, predicts biomass and turnover across temperate and tropical forests

Author

Needham, Jessica F, Johnson, Daniel J, Anderson‐Teixeira, Kristina J, Bourg, Norman, Bunyavejchewin, Sarayudh, Butt, Nathalie, Cao, Min, Cárdenas, Dairon, Chang‐Yang, Chia‐Hao, Chen, Yu‐Yun, Chuyong, George, Dattaraja, Handanakere S, Davies, Stuart J, Duque, Alvaro, Ewango, Corneille EN, Fernando, Edwino S, Fisher, Rosie, Fletcher, Christine D, Foster, Robin, Hao, Zhanqing, Hart, Terese, Hsieh, Chang‐Fu, Hubbell, Stephen P, Itoh, Akira, Kenfack, David, Koven, Charles D, Larson, Andrew J, Lutz, James A, McShea, William, Makana, Jean‐Remy, Malhi, Yadvinder, Marthews, Toby, Mohamad, Mohizah Bt, Morecroft, Michael D, Norden, Natalia, Parker, Geoffrey, Shringi, Ankur, Sukumar, Raman, Suresh, Hebbalalu S, Sun, I‐Fang, Tan, Sylvester, Thomas, Duncan W, Thompson, Jill, Uriarte, Maria, Valencia, Renato, Yao, Tze Leong, Yap, Sandra L, Yuan, Zuoqiang, Yuehua, Hu, Zimmerman, Jess K, Zuleta, Daniel, and McMahon, Sean M

Subjects
Environmental Sciences, Ecological Applications, Ecology, Biological Sciences, Life Below Water, Biomass, Climate Change, Demography, Ecosystem, Tropical Climate, aboveground biomass, carbon residence time, forest dynamics, ForestGEO, size-dependent survival, species richness, tree demography, Biological sciences, Earth sciences, Environmental sciences
Abstract

The growth and survival of individual trees determine the physical structure of a forest with important consequences for forest function. However, given the diversity of tree species and forest biomes, quantifying the multitude of demographic strategies within and across forests and the way that they translate into forest structure and function remains a significant challenge. Here, we quantify the demographic rates of 1961 tree species from temperate and tropical forests and evaluate how demographic diversity (DD) and demographic composition (DC) differ across forests, and how these differences in demography relate to species richness, aboveground biomass (AGB), and carbon residence time. We find wide variation in DD and DC across forest plots, patterns that are not explained by species richness or climate variables alone. There is no evidence that DD has an effect on either AGB or carbon residence time. Rather, the DC of forests, specifically the relative abundance of large statured species, predicted both biomass and carbon residence time. Our results demonstrate the distinct DCs of globally distributed forests, reflecting biogeography, recent history, and current plot conditions. Linking the DC of forests to resilience or vulnerability to climate change, will improve the precision and accuracy of predictions of future forest composition, structure, and function.

Published
2022

28. Arbuscular mycorrhizal trees influence the latitudinal beta-diversity gradient of tree communities in forests worldwide.

Author

Zhong, Yonglin, Chu, Chengjin, Myers, Jonathan A, Gilbert, Gregory S, Lutz, James A, Stillhard, Jonas, Zhu, Kai, Thompson, Jill, Baltzer, Jennifer L, He, Fangliang, LaManna, Joseph A, Davies, Stuart J, Aderson-Teixeira, Kristina J, Burslem, David FRP, Alonso, Alfonso, Chao, Kuo-Jung, Wang, Xugao, Gao, Lianming, Orwig, David A, Yin, Xue, Sui, Xinghua, Su, Zhiyao, Abiem, Iveren, Bissiengou, Pulchérie, Bourg, Norm, Butt, Nathalie, Cao, Min, Chang-Yang, Chia-Hao, Chao, Wei-Chun, Chapman, Hazel, Chen, Yu-Yun, Coomes, David A, Cordell, Susan, de Oliveira, Alexandre A, Du, Hu, Fang, Suqin, Giardina, Christian P, Hao, Zhanqing, Hector, Andrew, Hubbell, Stephen P, Janík, David, Jansen, Patrick A, Jiang, Mingxi, Jin, Guangze, Kenfack, David, Král, Kamil, Larson, Andrew J, Li, Buhang, Li, Xiankun, Li, Yide, Lian, Juyu, Lin, Luxiang, Liu, Feng, Liu, Yankun, Liu, Yu, Luan, Fuchen, Luo, Yahuang, Ma, Keping, Malhi, Yadvinder, McMahon, Sean M, McShea, William, Memiaghe, Hervé, Mi, Xiangcheng, Morecroft, Mike, Novotny, Vojtech, O'Brien, Michael J, Ouden, Jan den, Parker, Geoffrey G, Qiao, Xiujuan, Ren, Haibao, Reynolds, Glen, Samonil, Pavel, Sang, Weiguo, Shen, Guochun, Shen, Zhiqiang, Song, Guo-Zhang Michael, Sun, I-Fang, Tang, Hui, Tian, Songyan, Uowolo, Amanda L, Uriarte, María, Wang, Bin, Wang, Xihua, Wang, Youshi, Weiblen, George D, Wu, Zhihong, Xi, Nianxun, Xiang, Wusheng, Xu, Han, Xu, Kun, Ye, Wanhui, Yu, Mingjian, Zeng, Fuping, Zhang, Minhua, Zhang, Yingming, Zhu, Li, and Zimmerman, Jess K

Subjects
Mycorrhizae, Trees, Soil Microbiology, Biodiversity, Plant Dispersal, Forests, Host Microbial Interactions
Abstract

Arbuscular mycorrhizal (AM) and ectomycorrhizal (EcM) associations are critical for host-tree performance. However, how mycorrhizal associations correlate with the latitudinal tree beta-diversity remains untested. Using a global dataset of 45 forest plots representing 2,804,270 trees across 3840 species, we test how AM and EcM trees contribute to total beta-diversity and its components (turnover and nestedness) of all trees. We find AM rather than EcM trees predominantly contribute to decreasing total beta-diversity and turnover and increasing nestedness with increasing latitude, probably because wide distributions of EcM trees do not generate strong compositional differences among localities. Environmental variables, especially temperature and precipitation, are strongly correlated with beta-diversity patterns for both AM trees and all trees rather than EcM trees. Results support our hypotheses that latitudinal beta-diversity patterns and environmental effects on these patterns are highly dependent on mycorrhizal types. Our findings highlight the importance of AM-dominated forests for conserving global forest biodiversity.

Published
2021

31. Voluntary consensus based geospatial data standards for the global illegal trade in wild fauna and flora

Author

Gore, Meredith L., Schwartz, Lee R., Amponsah-Mensah, Kofi, Barbee, Emily, Canney, Susan, Carbo-Penche, Maria, Cronin, Drew, Hilend, Rowan, Laituri, Melinda, Luna, David, Maina, Faith, Mey, Christian, Mumford, Kathleena, Mugo, Robinson, Nduguta, Redempta, Nyce, Christopher, McEvoy, John, McShea, William, Mandimbihasina, Angelo, Salafsky, Nick, Smetana, David, Tait, Alexander, Wittig, Tim, Wright, Dawn, and Naess, Leah Wanambwa

Published
2022
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32. Cattle exclusion increases encounters of wild herbivores in Neotropical forests.

Author

Vélez, Juliana, McShea, William, Pukazhenthi, Budhan, Rodríguez, Juan David, Suárez, María Fernanda, Torres, José Manuel, Barrera, César, and Fieberg, John

Subjects
*ANTHROPOGENIC effects on nature, *BIOLOGICAL extinction, *DOMESTIC animals, *GROUND cover plants, *BODY size
Abstract

Ongoing habitat loss and species extinctions require managers to implement and quantify the effectiveness of conservation actions for protecting biodiversity. Fencing, when done properly, is an important management tool for conservation in landscapes where wildlife and domestic animals co‐occur, potentially enhancing habitat use through selective exclusion of domestic species. For instance, the fencing of forest patches in the Neotropics is expected to reduce the degradation of understory vegetation by cattle, releasing these resources for the native community of browsers and fruit consumers.Here, we implemented an ecological experiment using a before‐after control‐impact design to quantify the effect of cattle exclusion on encounter probability of the native community of browsers and fruit consumers, and percent ground cover in multifunctional landscapes of the Colombian Orinoquía. We built 14 km of wildlife‐permeable fences along forest edges in four forest patches (i.e. blocks) containing control and fenced (treatment) sites. We installed 33 camera traps to obtain information about wildlife and cattle encounter probabilities, before and after the fences were constructed. We used Bayesian generalised linear mixed effects models to quantify the effect of fences via the interaction between the time period (before and after the fences were built) and treatment (control or fenced sites).Fencing was effective at reducing encounter probabilities of cattle in the treated sites, and it had a positive impact on relative encounter probabilities of four of seven studied wildlife species (herbivores including the black agouti [dry season only], lowland tapir [dry season only] and spotted paca [both seasons] and an omnivore, the South American coati [rainy season only]). The effect of fencing was negative for the collared peccary but only during the dry season. No statistically significant effect was detected for the white‐lipped peccary or white‐tailed deer.Synthesis and applications: We provide experimental evidence that fences are effective at selectively excluding cattle and increasing encounter rates of wild browsers and fruit consumers in forest patches where these species co‐occur with cattle. Our results highlight an important application of fencing ecology in Neotropical forests, where the implementation of wildlife‐permeable fences is feasible due to smaller body sizes of wildlife compared to domestic animals such as cattle. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Tree diversity enhances predation by birds but not by arthropods across climate gradients

Author

Axencia Galega de Innovación, National Science Foundation (US), Albert- Ludwigs- Universität Freiburg, The Forestry Commision, Vázquez-González, Carla [0000-0001-6810-164X], Vázquez-González, Carla, Castagneyrol, Bastien, Muiruri, Evalyne W, Barbaro, Luc, Abdala-Roberts, Luis, Barsoum, Nadia, Fründ, Jochen, Glynn, Carolyn, Jactel, Hervé, McShea, William J, Mereu, Simone, Mooney, Kailen A, Morillas, Lourdes, Nock, Charles A, Paquette, Alain, Parker, John D, Parker, William C, Roales, Javier, Scherer-Lorenzen, Michael, Schuldt, Andreas, Verheyen, Kris, Weih, Martin, Yang, Bo, Koricheva, Julia, Axencia Galega de Innovación, National Science Foundation (US), Albert- Ludwigs- Universität Freiburg, The Forestry Commision, Vázquez-González, Carla [0000-0001-6810-164X], Vázquez-González, Carla, Castagneyrol, Bastien, Muiruri, Evalyne W, Barbaro, Luc, Abdala-Roberts, Luis, Barsoum, Nadia, Fründ, Jochen, Glynn, Carolyn, Jactel, Hervé, McShea, William J, Mereu, Simone, Mooney, Kailen A, Morillas, Lourdes, Nock, Charles A, Paquette, Alain, Parker, John D, Parker, William C, Roales, Javier, Scherer-Lorenzen, Michael, Schuldt, Andreas, Verheyen, Kris, Weih, Martin, Yang, Bo, and Koricheva, Julia

Abstract

Tree diversity can promote both predator abundance and diversity. However, whether this translates into increased predation and top-down control of herbivores across predator taxonomic groups and contrasting environmental conditions remains unresolved. We used a global network of tree diversity experiments (TreeDivNet) spread across three continents and three biomes to test the effects of tree species richness on predation across varying climatic conditions of temperature and precipitation. We recorded bird and arthropod predation attempts on plasticine caterpillars in monocultures and tree species mixtures. Both tree species richness and temperature increased predation by birds but not by arthropods. Furthermore, the effects of tree species richness on predation were consistent across the studied climatic gradient. Our findings provide evidence that tree diversity strengthens top-down control of insect herbivores by birds, underscoring the need to implement conservation strategies that safeguard tree diversity to sustain ecosystem services provided by natural enemies in forests.

Published
2024

39. Mammal responses to global changes in human activity vary by trophic group and landscape

Author

Burton, Cole, Beirne, Christopher, Gaynor, Kaitlyn M., Sun, Catherine, Granados, Alys, Allen, Maximilian L., Alston, Jesse M., Alvarenga, Guilherme C., Calderón, Francisco Samuel Álvarez, Amir, Zachary, Anhalt-Depies, Christine, Appel, Cara, Arroyo-Arce, Stephanny, Balme, Guy, Bar-Massada, Avi, Barcelos, Daniele, Barr, Evan, Barthelmess, Erika L., Baruzzi, Carolina, Basak, Sayantani M., Beenaerts, Natalie, Belmaker, Jonathan, Belova, Olgirda, Bezarević, Branko, Bird, Tori, Bogan, Daniel A., Bogdanović, Neda, Boyce, Andy, Boyce, Mark, Brandt, La Roy, Brodie, Jedediah F., Brooke, Jarred, Bubnicki, Jakub W., Cagnacci, Francesca, Carr, Benjamin Scott, Carvalho, João, Casaer, Jim, Černe, Rok, Chen, Ron, Chow, Emily, Churski, Marcin, Cincotta, Connor, Ćirović, Duško, Coates, T.D., Compton, Justin, Coon, Courtney, Cove, Michael V., Crupi, Anthony P., Farra, Simone Dal, Darracq, Andrea K., Davis, Miranda, Dawe, Kimberly, De Waele, Valerie, Descalzo, Esther, Diserens, Tom A., Drimaj, Jakub, Duľa, Martin, Ellis-Felege, Susan, Ellison, Caroline, Ertürk, Alper, Fantle-Lepczyk, Jean, Favreau, Jorie, Fennell, Mitch, Ferreras, Pablo, Ferretti, Francesco, Fiderer, Christian, Finnegan, Laura, Fisher, Jason T., Fisher-Reid, Caitlin, Flaherty, Elizabeth A., Fležar, Urša, Flousek, Jiří, Foca, Jennifer M., Ford, Adam, Franzetti, Barbara, Frey, Sandra, Fritts, Sarah, Frýbová, Šárka, Furnas, Brett, Gerber, Brian, Geyle, Hayley M., Giménez, Diego G., Giordano, Anthony J., Gomercic, Tomislav, Gompper, Matthew E., Gräbin, Diogo Maia, Gray, Morgan, Green, Austin, Hagen, Robert, Hammerich, Steven, Hanekom, Catharine, Hansen, Christopher, Hasstedt, Steven, Hebblewhite, Mark, Heurich, Marco, Hofmeester, Tim R., Hubbard, Tru, Jachowski, David, Jansen, Patrick A., Jaspers, Kodi Jo, Jensen, Alex, Jordan, Mark, Kaizer, Mariane C., Kelly, Marcella J., Kohl, Michel T., Kramer-Schadt, Stephanie, Krofel, Miha, Krug, Andrea, Kuhn, Kellie M., Kuijper, Dries P.J., Kuprewicz, Erin K., Kusak, Josip, Kutal, Miroslav, Lafferty, Diana J.R., LaRose, Summer, Lashley, Marcus, Lathrop, Richard, Lee, Thomas E., Lepczyk, Christopher, Lesmeister, Damon B., Licoppe, Alain, Linnell, Marco, Loch, Jan, Long, Robert, Lonsinger, Robert C., Louvrier, Julie, Luskin, Matthew Scott, MacKay, Paula, Maher, Sean, Manet, Benoît, Mann, Gareth K.H., Marshall, Andrew J., Mason, David, McDonald, Zara, McKay, Tracy, McShea, William J., Mechler, Matt, Miaud, Claude, Millspaugh, Joshua J., Moreira-Arce, Dario, Mullen, Kayleigh, Nagy, Christopher, Naidoo, Robin, Namir, Itai, Nelson, Carrie, O’Neill, Brian, O’Mara, Teague, Oberosler, Valentina, Osorio, Christian, Ossi, Federico, Palencia, Pablo, Pearson, Kimberly, Pedrotti, Luca, Pekins, Charles E., Pendergast, Mary, Pinho, Fernando F., Plhal, Radim, Pocasangre-Orellana, Xochilt, Price, Melissa, Procko, Michael, Proctor, Mike D., Ramalho, Emiliano Esterci, Ranc, Nathan, Reljic, Slaven, Remine, Katie, Rentz, Michael, Revord, Ronald, Reyna-Hurtado, Rafael, Risch, Derek, Ritchie, Euan G., Romero, Andrea, Rota, Christopher, Rovero, Francesco, Rowe, Helen, Rutz, Christian, Salvatori, Marco, Sandow, Derek, Schalk, Christopher M., Scherger, Jenna, Schipper, Jan, Scognamillo, Daniel G., Şekercioğlu, Çağan H., Semenzato, Paola, Sevin, Jennifer, Shamon, Hila, Shier, Catherine, Silva-Rodríguez, Eduardo A., Sindicic, Magda, Smyth, Lucy K., Soyumert, Anil, Sprague, Tiffany, St. Clair, Colleen Cassady, Stenglein, Jennifer, Stephens, Philip A., Stępniak, Kinga Magdalena, Stevens, Michael, Stevenson, Cassondra, Ternyik, Bálint, Thomson, Ian, Torres, Rita T., Tremblay, Joan, Urrutia, Tomas, Vacher, Jean Pierre, Visscher, Darcy, Webb, Stephen L., Weber, Julian, Weiss, Katherine C.B., Whipple, Laura S., Whittier, Christopher A., Whittington, Jesse, Wierzbowska, Izabela, Wikelski, Martin, Williamson, Jacque, Wilmers, Christopher C., Windle, Todd, Wittmer, Heiko U., Zharikov, Yuri, Zorn, Adam, Kays, Roland, Burton, Cole, Beirne, Christopher, Gaynor, Kaitlyn M., Sun, Catherine, Granados, Alys, Allen, Maximilian L., Alston, Jesse M., Alvarenga, Guilherme C., Calderón, Francisco Samuel Álvarez, Amir, Zachary, Anhalt-Depies, Christine, Appel, Cara, Arroyo-Arce, Stephanny, Balme, Guy, Bar-Massada, Avi, Barcelos, Daniele, Barr, Evan, Barthelmess, Erika L., Baruzzi, Carolina, Basak, Sayantani M., Beenaerts, Natalie, Belmaker, Jonathan, Belova, Olgirda, Bezarević, Branko, Bird, Tori, Bogan, Daniel A., Bogdanović, Neda, Boyce, Andy, Boyce, Mark, Brandt, La Roy, Brodie, Jedediah F., Brooke, Jarred, Bubnicki, Jakub W., Cagnacci, Francesca, Carr, Benjamin Scott, Carvalho, João, Casaer, Jim, Černe, Rok, Chen, Ron, Chow, Emily, Churski, Marcin, Cincotta, Connor, Ćirović, Duško, Coates, T.D., Compton, Justin, Coon, Courtney, Cove, Michael V., Crupi, Anthony P., Farra, Simone Dal, Darracq, Andrea K., Davis, Miranda, Dawe, Kimberly, De Waele, Valerie, Descalzo, Esther, Diserens, Tom A., Drimaj, Jakub, Duľa, Martin, Ellis-Felege, Susan, Ellison, Caroline, Ertürk, Alper, Fantle-Lepczyk, Jean, Favreau, Jorie, Fennell, Mitch, Ferreras, Pablo, Ferretti, Francesco, Fiderer, Christian, Finnegan, Laura, Fisher, Jason T., Fisher-Reid, Caitlin, Flaherty, Elizabeth A., Fležar, Urša, Flousek, Jiří, Foca, Jennifer M., Ford, Adam, Franzetti, Barbara, Frey, Sandra, Fritts, Sarah, Frýbová, Šárka, Furnas, Brett, Gerber, Brian, Geyle, Hayley M., Giménez, Diego G., Giordano, Anthony J., Gomercic, Tomislav, Gompper, Matthew E., Gräbin, Diogo Maia, Gray, Morgan, Green, Austin, Hagen, Robert, Hammerich, Steven, Hanekom, Catharine, Hansen, Christopher, Hasstedt, Steven, Hebblewhite, Mark, Heurich, Marco, Hofmeester, Tim R., Hubbard, Tru, Jachowski, David, Jansen, Patrick A., Jaspers, Kodi Jo, Jensen, Alex, Jordan, Mark, Kaizer, Mariane C., Kelly, Marcella J., Kohl, Michel T., Kramer-Schadt, Stephanie, Krofel, Miha, Krug, Andrea, Kuhn, Kellie M., Kuijper, Dries P.J., Kuprewicz, Erin K., Kusak, Josip, Kutal, Miroslav, Lafferty, Diana J.R., LaRose, Summer, Lashley, Marcus, Lathrop, Richard, Lee, Thomas E., Lepczyk, Christopher, Lesmeister, Damon B., Licoppe, Alain, Linnell, Marco, Loch, Jan, Long, Robert, Lonsinger, Robert C., Louvrier, Julie, Luskin, Matthew Scott, MacKay, Paula, Maher, Sean, Manet, Benoît, Mann, Gareth K.H., Marshall, Andrew J., Mason, David, McDonald, Zara, McKay, Tracy, McShea, William J., Mechler, Matt, Miaud, Claude, Millspaugh, Joshua J., Moreira-Arce, Dario, Mullen, Kayleigh, Nagy, Christopher, Naidoo, Robin, Namir, Itai, Nelson, Carrie, O’Neill, Brian, O’Mara, Teague, Oberosler, Valentina, Osorio, Christian, Ossi, Federico, Palencia, Pablo, Pearson, Kimberly, Pedrotti, Luca, Pekins, Charles E., Pendergast, Mary, Pinho, Fernando F., Plhal, Radim, Pocasangre-Orellana, Xochilt, Price, Melissa, Procko, Michael, Proctor, Mike D., Ramalho, Emiliano Esterci, Ranc, Nathan, Reljic, Slaven, Remine, Katie, Rentz, Michael, Revord, Ronald, Reyna-Hurtado, Rafael, Risch, Derek, Ritchie, Euan G., Romero, Andrea, Rota, Christopher, Rovero, Francesco, Rowe, Helen, Rutz, Christian, Salvatori, Marco, Sandow, Derek, Schalk, Christopher M., Scherger, Jenna, Schipper, Jan, Scognamillo, Daniel G., Şekercioğlu, Çağan H., Semenzato, Paola, Sevin, Jennifer, Shamon, Hila, Shier, Catherine, Silva-Rodríguez, Eduardo A., Sindicic, Magda, Smyth, Lucy K., Soyumert, Anil, Sprague, Tiffany, St. Clair, Colleen Cassady, Stenglein, Jennifer, Stephens, Philip A., Stępniak, Kinga Magdalena, Stevens, Michael, Stevenson, Cassondra, Ternyik, Bálint, Thomson, Ian, Torres, Rita T., Tremblay, Joan, Urrutia, Tomas, Vacher, Jean Pierre, Visscher, Darcy, Webb, Stephen L., Weber, Julian, Weiss, Katherine C.B., Whipple, Laura S., Whittier, Christopher A., Whittington, Jesse, Wierzbowska, Izabela, Wikelski, Martin, Williamson, Jacque, Wilmers, Christopher C., Windle, Todd, Wittmer, Heiko U., Zharikov, Yuri, Zorn, Adam, and Kays, Roland

Abstract

Wildlife must adapt to human presence to survive in the Anthropocene, so it is critical to understand species responses to humans in different contexts. We used camera trapping as a lens to view mammal responses to changes in human activity during the COVID-19 pandemic. Across 163 species sampled in 102 projects around the world, changes in the amount and timing of animal activity varied widely. Under higher human activity, mammals were less active in undeveloped areas but unexpectedly more active in developed areas while exhibiting greater nocturnality. Carnivores were most sensitive, showing the strongest decreases in activity and greatest increases in nocturnality. Wildlife managers must consider how habituation and uneven sensitivity across species may cause fundamental differences in human–wildlife interactions along gradients of human influence.

Published
2024

40. Major axes of variation in tree demography across global forests

Author

Leite, Melina de Souza, McMahon, Sean M., Prado, Paulo Inácio, Davies, Stuart J., Oliveira, Alexandre Adalardo de, De Deurwaerder, Hannes P., Aguilar, Salomón, Anderson‐Teixeira, Kristina J., Aqilah, Nurfarah, Bourg, Norman A., Brockelman, Warren Y., Castaño, Nicolas, Chang‐Yang, Chia‐Hao, Chen, Yu‐Yun, Chuyong, George, Clay, Keith, Duque, Álvaro, Ediriweera, Sisira, Ewango, Corneille E.N., Gilbert, Gregory, Gunatilleke, I.A.U.N., Gunatilleke, C.V.S., Howe, Robert, Huasco, Walter Huaraca, Itoh, Akira, Johnson, Daniel J., Kenfack, David, Král, Kamil, Leong, Yao Tze, Lutz, James A., Makana, Jean‐Remy, Malhi, Yadvinder, McShea, William J., Mohamad, Mohizah, Nasardin, Musalmah, Nathalang, Anuttara, Parker, Geoffrey, Parmigiani, Renan, Pérez, Rolando, Phillips, Richard P., Šamonil, Pavel, Sun, I‐Fang, Tan, Sylvester, Thomas, Duncan, Thompson, Jill, Uriarte, María, Wolf, Amy, Zimmerman, Jess, Zuleta, Daniel, Visser, Marco D., Hülsmann, Lisa, Leite, Melina de Souza, McMahon, Sean M., Prado, Paulo Inácio, Davies, Stuart J., Oliveira, Alexandre Adalardo de, De Deurwaerder, Hannes P., Aguilar, Salomón, Anderson‐Teixeira, Kristina J., Aqilah, Nurfarah, Bourg, Norman A., Brockelman, Warren Y., Castaño, Nicolas, Chang‐Yang, Chia‐Hao, Chen, Yu‐Yun, Chuyong, George, Clay, Keith, Duque, Álvaro, Ediriweera, Sisira, Ewango, Corneille E.N., Gilbert, Gregory, Gunatilleke, I.A.U.N., Gunatilleke, C.V.S., Howe, Robert, Huasco, Walter Huaraca, Itoh, Akira, Johnson, Daniel J., Kenfack, David, Král, Kamil, Leong, Yao Tze, Lutz, James A., Makana, Jean‐Remy, Malhi, Yadvinder, McShea, William J., Mohamad, Mohizah, Nasardin, Musalmah, Nathalang, Anuttara, Parker, Geoffrey, Parmigiani, Renan, Pérez, Rolando, Phillips, Richard P., Šamonil, Pavel, Sun, I‐Fang, Tan, Sylvester, Thomas, Duncan, Thompson, Jill, Uriarte, María, Wolf, Amy, Zimmerman, Jess, Zuleta, Daniel, Visser, Marco D., and Hülsmann, Lisa

Abstract

The future trajectory of global forests is closely intertwined with tree demography, and a major fundamental goal in ecology is to understand the key mechanisms governing spatio-temporal patterns in tree population dynamics. While previous research has made substantial progress in identifying the mechanisms individually, their relative importance among forests remains unclear mainly due to practical limitations. One approach to overcome these limitations is to group mechanisms according to their shared effects on the variability of tree vital rates and quantify patterns therein. We developed a conceptual and statistical framework (variance partitioning of Bayesian multilevel models) that attributes the variability in tree growth, mortality, and recruitment to variation in species, space, and time, and their interactions – categories we refer to as organising principles (OPs). We applied the framework to data from 21 forest plots covering more than 2.9 million trees of approximately 6500 species. We found that differences among species, the species OP, proved a major source of variability in tree vital rates, explaining 28–33% of demographic variance alone, and 14–17% in interaction with space, totalling 40–43%. Our results support the hypothesis that the range of vital rates is similar across global forests. However, the average variability among species declined with species richness, indicating that diverse forests featured smaller interspecific differences in vital rates. Moreover, decomposing the variance in vital rates into the proposed OPs showed the importance of unexplained variability, which includes individual variation, in tree demography. A focus on how demographic variance is organized in forests can facilitate the construction of more targeted models with clearer expectations of which covariates might drive a vital rate. This study therefore highlights the most promising avenues for future research, both in terms of understanding the relative contribut

Published
2024

41. Who let the dog out? Dog owner attitudes and economics regulate the potential negative impact of domestic dogs on wildlife in a reserve network.

Author

Weng, Yue, McShea, William Joseph, Yang, Hongbo, Zhang, Zhuojin, Lin, Weiming, and Wang, Fang

Subjects
*DOGS, *WILDLIFE refuges, *DOG owners, *DOG bites, *CANINE parvovirus, *DOMESTIC animals, *DOG behavior
Abstract

Many domestic animals have a profound impact on endangered species through complex interactions and spillover effects in and between coupled human and natural systems. A thorough understanding of the driving forces of human decisions regarding how domestic animals are kept is therefore critical to promote the synergy of human livelihood and biodiversity conservation. Working in the Qinling Mountains of China, we conducted a multidisciplinary study using a structural equation model (SEM) to link households' demographic and economic conditions, peoples attitudes and activities with their decisions, and further investigated how such process influences the potential negative impact of free‐ranging dogs on wildlife. Among 139 blood and saliva samples collected from dogs that were owned by local villagers but allowed to roam freely, 33.3% were positive for at least one of three viral infections, including canine distemper (28.2%), canine parvovirus (25.6%), and rabies virus prevalence (10.3%). SEM modeling revealed that human activity (β = 0.27, p =.012) has significantly increased dogs' potential negative impacts on wildlife by increasing the number of dogs and their direct contact with wildlife, as well as their larger movement range. Conversely, improvement in demographic and economic conditions (β = −0.22, p =.011) and human attitudes (β = −0.51, p =.013) suppresses the influence of free roaming dogs on wildlife. Meanwhile, livelihoods dependent on natural resources increased the likelihood of owners having dog practice that may negatively impact wildlife (β = 0.54, p <.001), without improving the economic conditions of the residents (β = −0.26, p <.001). Based on the above results, we recommend a program that combines educational and conservation efforts to encourages local residents in more responsible dog ownership and recommend reserve managers provide financial incentives to mitigate human‐wildlife conflicts. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Guidelines for estimating occupancy from autocorrelated camera trap detections.

Author

Goldstein, Benjamin R., Jensen, Alex J., Kays, Roland, Cove, Michael V., McShea, William J., Rooney, Brigit, Kierepka, Elizabeth M., and Pacifici, Krishna

Subjects
AUTOCORRELATION (Statistics), CAMERAS, SPATIAL ecology, GOODNESS-of-fit tests, ANIMAL ecology, BIOLOGICAL models, ECOLOGISTS
Abstract

Site occupancy models (SOMs) are a common tool for studying the spatial ecology of wildlife. When observational data are collected using passive monitoring field methods, including camera traps or autonomous recorders, detections of animals may be temporally autocorrelated, leading to biased estimates and incorrectly quantified uncertainty. We presently lack clear guidance for understanding and mitigating the consequences of temporal autocorrelation when estimating occupancy models with camera trap data.We use simulations to explore when and how autocorrelation gives rise to biased or overconfident estimates of occupancy. We explore the impact of sampling design and biological conditions on model performance in the presence of autocorrelation, investigate the usefulness of several techniques for identifying and mitigating bias and compare performance of the SOM to a model that explicitly estimates autocorrelation. We also conduct a case study using detections of 22 North American mammals.We show that a join count goodness‐of‐fit test previously proposed for identifying clustered detections is effective for detecting autocorrelation across a range of conditions. We find that strong bias occurs in the estimated occupancy intercept when survey durations are short and detection rates are low. We provide a reference table for assessing the degree of bias to be expected under all conditions. We further find that discretizing data with larger windows decreases the magnitude of bias introduced by autocorrelation. In our case study, we find that detections of most species are autocorrelated and demonstrate how larger detection windows might mitigate the resulting bias.Our findings suggest that autocorrelation is likely widespread in camera trap data and that many previous studies of occupancy based on camera trap data may have systematically underestimated occupancy probabilities. Moving forward, we recommend that ecologists estimating occupancy from camera trap data use the join count goodness‐of‐fit test to determine whether autocorrelation is present in their data. If it is, SOMs should use large detection windows to mitigate bias and more accurately quantify uncertainty in occupancy model parameters. Ecologists should not use gaps between detection periods, which are ineffective at mitigating temporal structure in data and discard useful data. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Implications of the scale of detection for inferring co‐occurrence patterns from paired camera traps and acoustic recorders.

Author

Vélez, Juliana, McShea, William, Pukazhenthi, Budhan, Stevenson, Pablo, and Fieberg, John

Subjects
*BIODIVERSITY conservation, *WHITE-tailed deer, *RANCHES, *SPECIES distribution, *CAMERAS, *INFECTIOUS disease transmission
Abstract

Multifunctional landscapes that support economic activities and conservation of biological diversity (e.g., cattle ranches with native forest) are becoming increasingly important because small remnants of native forest may comprise the only habitat left for some wildlife species. Understanding the co‐occurrence between wildlife and disturbance factors, such as poaching activity and domesticated ungulates, is key to successful management of multifunctional landscapes. Tools to measure co‐occurrence between wildlife and disturbance factors include camera traps and autonomous acoustic recording units. We paired 52 camera‐trap stations with acoustic recorders to investigate the association between 2 measures of disturbance (poaching and cattle) and wild ungulates present in multifunctional landscapes of the Colombian Orinoquía. We used joint species distribution models to investigate species–habitat associations and species–disturbance correlations. One model was fitted using camera‐trap data to detect wild ungulates and disturbance factors, and a second model was fitted after replacing camera‐trap detections of disturbance factors with their corresponding acoustic detections. The direction, significance, and precision of the effect of covariates depended on the sampling method used for disturbance factors. Acoustic monitoring typically resulted in more precise estimates of the effects of covariates and of species–disturbance correlations. Association patterns between wildlife and disturbance factors were found only when disturbance was detected by acoustic recorders. Camera traps allowed us to detect nonvocalizing species, whereas audio recording devices increased detection of disturbance factors leading to more precise estimates of co‐occurrence patterns. The collared peccary (Pecari tajacu), lowland tapir (Tapirus terrestris), and white‐tailed deer (Odocoileus virginianus) co‐occurred with disturbance factors and are conservation priorities due to the greater risk of poaching or disease transmission from cattle. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Combining camera trap surveys and IUCN range maps to improve knowledge of species distributions.

Author

Chen, Cheng, Granados, Alys, Brodie, Jedediah F., Kays, Roland, Davies, T. Jonathan, Liu, Runzhe, Fisher, Jason T., Ahumada, Jorge, McShea, William, Sheil, Douglas, Mohd‐Azlan, Jayasilan, Agwanda, Bernard, Andrianarisoa, Mahandry H., Appleton, Robyn D., Bitariho, Robert, Espinosa, Santiago, Grigione, Melissa M., Helgen, Kristofer M., Hubbard, Andy, and Hurtado, Cindy M.

Subjects
SPECIES distribution, CAMERAS, MAPS, BIODIVERSITY conservation, FOREST canopies
Abstract

Copyright of Conservation Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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45. Long-Term Impacts of Invasive Insects and Pathogens on Composition, Biomass, and Diversity of Forests in Virginia’s Blue Ridge Mountains

Author

Anderson-Teixeira, Kristina J., Herrmann, Valentine, Cass, Wendy B., Williams, Alan B., Paull, Stephen J., Gonzalez-Akre, Erika B., Helcoski, Ryan, Tepley, Alan J., Bourg, Norman A., Cosma, Christopher T., Ferson, Abigail E., Kittle, Caroline, Meakem, Victoria, McGregor, Ian R., Prestipino, Maya N., Scott, Michael K., Terrell, Alyssa R., Alonso, Alfonso, Dallmeier, Francisco, and McShea, William J.

Published
2021
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49. CTFS-ForestGEO: a worldwide network monitoring forests in an era of global change

Author

Anderson-Teixeira, Kristina J, Davies, Stuart J, Bennett, Amy C, Gonzalez-Akre, Erika B, Muller-Landau, Helene C, Joseph Wright, S., Abu Salim, Kamariah, Almeyda Zambrano, Angélica M, Alonso, Alfonso, Baltzer, Jennifer L, Basset, Yves, Bourg, Norman A, Broadbent, Eben N, Brockelman, Warren Y, Bunyavejchewin, Sarayudh, Burslem, David F. R. P, Butt, Nathalie, Cao, Min, Cardenas, Dairon, Chuyong, George B, Clay, Keith, Cordell, Susan, Dattaraja, Handanakere S, Deng, Xiaobao, Detto, Matteo, Du, Xiaojun, Duque, Alvaro, Erikson, David L, Ewango, Corneille E.N., Fischer, Gunter A, Fletcher, Christine, Foster, Robin B, Giardina, Christian P, Gilbert, Gregory S, Gunatilleke, Nimal, Gunatilleke, Savitri, Hao, Zhanqing, Hargrove, William W, Hart, Terese B, Hau, Billy C.H., He, Fangliang, Hoffman, Forrest M, Howe, Robert W, Hubbell, Stephen P, Inman-Narahari, Faith M, Jansen, Patrick A, Jiang, Mingxi, Johnson, Daniel J, Kanzaki, Mamoru, Kassim, Abdul Rahman, Kenfack, David, Kibet, Staline, Kinnaird, Margaret F, Korte, Lisa, Kral, Kamil, Kumar, Jitendra, Larson, Andrew J, Li, Yide, Li, Xiankun, Liu, Shirong, Lum, Shawn K.Y., Lutz, James A, Ma, Keping, Maddalena, Damian M, Makana, Jean-Remy, Malhi, Yadvinder, Marthews, Toby, Mat Serudin, Rafizah, McMahon, Sean M, McShea, William J, Memiaghe, Hervé R, Mi, Xiangcheng, Mizuno, Takashi, Morecroft, Michael, Myers, Jonathan A, Novotny, Vojtech, de Oliveira, Alexandre A, Ong, Perry S, Orwig, David A, Ostertag, Rebecca, den Ouden, Jan, Parker, Geoffrey G, Phillips, Richard P, Sack, Lawren, Sainge, Moses N, Sang, Weiguo, Sri-ngernyuang, Kriangsak, Sukumar, Raman, Sun, I-Fang, Sungpalee, Witchaphart, Suresh, Hebbalalu Sathyanarayana, Tan, Sylvester, Thomas, Sean C, Thomas, Duncan W, Thompson, Jill, Turner, Benjamin L, Uriarte, Maria, Valencia, Renato, Vallejo, Marta I, and Vicentini, Alberto

Published
2015

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