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1. 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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2. Tropical tree ectomycorrhiza are distributed independently of soil nutrients

Author

Medina-Vega, José A., Zuleta, Daniel, Aguilar, Salomón, Alonso, Alfonso, Bissiengou, Pulchérie, Brockelman, Warren Y., Bunyavejchewin, Sarayudh, Burslem, David F. R. P., Castaño, Nicolás, Chave, Jérôme, Dalling, James W., de Oliveira, Alexandre A., Duque, Álvaro, Ediriweera, Sisira, Ewango, Corneille E. N., Filip, Jonah, Hubbell, Stephen P., Itoh, Akira, Kiratiprayoon, Somboon, Lum, Shawn K. Y., Makana, Jean-Remy, Memiaghe, Hervé, Mitre, David, Mohamad, Mohizah Bt., Nathalang, Anuttara, Nilus, Reuben, Nkongolo, Nsalambi V., Novotny, Vojtech, O’Brien, Michael J., Pérez, Rolando, Pongpattananurak, Nantachai, Reynolds, Glen, Russo, Sabrina E., Tan, Sylvester, Thompson, Jill, Uriarte, María, Valencia, Renato, Vicentini, Alberto, Yao, Tze Leong, Zimmerman, Jess K., and Davies, Stuart J.

Published
2024
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3. Tree crown damage and its effects on forest carbon cycling in a tropical forest.

Author

Needham, Jessica F, Arellano, Gabriel, Davies, Stuart J, Fisher, Rosie A, Hammer, Valerie, Knox, Ryan G, Mitre, David, Muller-Landau, Helene C, Zuleta, Daniel, and Koven, Charlie D

Subjects
Trees, Carbon, Ecosystem, Biomass, Tropical Climate, Forests, aboveground biomass, canopy turnover, carbon residence time, crown damage, forest disturbance, mortality, tropical forests, Environmental Sciences, Biological Sciences, Ecology
Abstract

Crown damage can account for over 23% of canopy biomass turnover in tropical forests and is a strong predictor of tree mortality; yet, it is not typically represented in vegetation models. We incorporate crown damage into the Functionally Assembled Terrestrial Ecosystem Simulator (FATES), to evaluate how lags between damage and tree recovery or death alter demographic rates and patterns of carbon turnover. We represent crown damage as a reduction in a tree's crown area and leaf and branch biomass, and allow associated variation in the ratio of aboveground to belowground plant tissue. We compare simulations with crown damage to simulations with equivalent instant increases in mortality and benchmark results against data from Barro Colorado Island (BCI), Panama. In FATES, crown damage causes decreases in growth rates that match observations from BCI. Crown damage leads to increases in carbon starvation mortality in FATES, but only in configurations with high root respiration and decreases in carbon storage following damage. Crown damage also alters competitive dynamics, as plant functional types that can recover from crown damage outcompete those that cannot. This is a first exploration of the trade-off between the additional complexity of the novel crown damage module and improved predictive capabilities. At BCI, a tropical forest that does not experience high levels of disturbance, both the crown damage simulations and simulations with equivalent increases in mortality does a reasonable job of capturing observations. The crown damage module provides functionality for exploring dynamics in forests with more extreme disturbances such as cyclones and for capturing the synergistic effects of disturbances that overlap in space and time.

Published
2022

4. Comparative transcriptomics of tropical woody plants supports fast and furious strategy along the leaf economics spectrum in lianas

Author

Sezen, U Uzay, Worthy, Samantha J, Umaña, Maria N, Davies, Stuart J, McMahon, Sean M, and Swenson, Nathan G

Subjects
Plant Biology, Biological Sciences, Ecology, Genetics, Forests, Plant Leaves, Plants, Transcriptome, Trees, Tropical Climate, Interactome, Leaf economics spectrum, Liana, Other Biological Sciences, Biological sciences, Biomedical and clinical sciences, Environmental sciences
Abstract

Lianas, climbing woody plants, influence the structure and function of tropical forests. Climbing traits have evolved multiple times, including ancestral groups such as gymnosperms and pteridophytes, but the genetic basis of the liana strategy is largely unknown. Here, we use a comparative transcriptomic approach for 47 tropical plant species, including ten lianas of diverse taxonomic origins, to identify genes that are consistently expressed or downregulated only in lianas. Our comparative analysis of full-length transcripts enabled the identification of a core interactomic network common to lianas. Sets of transcripts identified from our analysis reveal features related to functional traits pertinent to leaf economics spectrum in lianas, include upregulation of genes controlling epidermal cuticular properties, cell wall remodeling, carbon concentrating mechanism, cell cycle progression, DNA repair and a large suit of downregulated transcription factors and enzymes involved in ABA-mediated stress response as well as lignin and suberin synthesis. All together, these genes are known to be significant in shaping plant morphologies through responses such as gravitropism, phyllotaxy and shade avoidance.

Published
2022

5. 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

6. Detecting vulnerability of humid tropical forests to multiple stressors

Author

Saatchi, Sassan, Longo, Marcos, Xu, Liang, Yang, Yan, Abe, Hitofumi, André, Michel, Aukema, Juliann E, Carvalhais, Nuno, Cadillo-Quiroz, Hinsby, Cerbu, Gillian Ann, Chernela, Janet M, Covey, Kristofer, Sánchez-Clavijo, Lina María, Cubillos, Isai V, Davies, Stuart J, De Sy, Veronique, De Vleeschouwer, Francois, Duque, Alvaro, Durieux, Alice Marie Sybille, De Avila Fernandes, Kátia, Fernandez, Luis E, Gammino, Victoria, Garrity, Dennis P, Gibbs, David A, Gibbon, Lucy, Gowae, Gae Yansom, Hansen, Matthew, Harris, Nancy Lee, Healey, Sean P, Hilton, Robert G, Johnson, Christine May, Kankeu, Richard Sufo, Laporte-Goetz, Nadine Therese, Lee, Hyongki, Lovejoy, Thomas, Lowman, Margaret, Lumbuenamo, Raymond, Malhi, Yadvinder, Martinez, Jean-Michel M Albert, Nobre, Carlos, Pellegrini, Adam, Radachowsky, Jeremy, Román, Francisco, Russell, Diane, Sheil, Douglas, Smith, Thomas B, Spencer, Robert GM, Stolle, Fred, Tata, Hesti Lestari, del Castillo Torres, Dennis, Tshimanga, Raphael Muamba, Vargas, Rodrigo, Venter, Michelle, West, Joshua, Widayati, Atiek, Wilson, Sylvia N, Brumby, Steven, and Elmore, Aurora C

Subjects
Life on Land, Climate Action
Abstract

Humid tropical forests play a dominant role in the functioning of Earth but are under increasing threat from changes in land use and climate. How forest vulnerability varies across space and time and what level of stress forests can tolerate before facing a tipping point are poorly understood. Here, we develop a tropical forest vulnerability index (TFVI) to detect and evaluate the vulnerability of global tropical forests to threats across space and time. We show that climate change together with land-use change have slowed the recovery rate of forest carbon cycling. Temporal autocorrelation, as an indicator of this slow recovery, increases substantially for above-ground biomass, gross primary production, and evapotranspiration when climate stress reaches a critical level. Forests in the Americas exhibit extensive vulnerability to these stressors, while in Africa, forests show relative resilience to climate, and in Asia reveal more vulnerability to land use and fragmentation. TFVI can systematically track the response of tropical forests to multiple stressors and provide early-warning signals for regions undergoing critical transitions.

Published
2021

7. 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

8. Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama

Author

Koven, Charles D, Knox, Ryan G, Fisher, Rosie A, Chambers, Jeffrey Q, Christoffersen, Bradley O, Davies, Stuart J, Detto, Matteo, Dietze, Michael C, Faybishenko, Boris, Holm, Jennifer, Huang, Maoyi, Kovenock, Marlies, Kueppers, Lara M, Lemieux, Gregory, Massoud, Elias, McDowell, Nathan G, Muller-Landau, Helene C, Needham, Jessica F, Norby, Richard J, Powell, Thomas, Rogers, Alistair, Serbin, Shawn P, Shuman, Jacquelyn K, Swann, Abigail LS, Varadharajan, Charuleka, Walker, Anthony P, Wright, S Joseph, and Xu, Chonggang

Subjects
Biological Sciences, Ecology, CESD-MVR, Earth Sciences, Environmental Sciences, Meteorology & Atmospheric Sciences, Physical geography and environmental geoscience, Environmental management
Abstract

Plant functional traits determine vegetation responses to environmental variation, but variation in trait values is large, even within a single site. Likewise, uncertainty in how these traits map to Earth system feedbacks is large. We use a vegetation demographic model (VDM), the Functionally Assembled Terrestrial Ecosystem Simulator (FATES), to explore parameter sensitivity of model predictions, and comparison to observations, at a tropical forest site: Barro Colorado Island in Panama. We define a single 12-dimensional distribution of plant trait variation, derived primarily from observations in Panama, and define plant functional types (PFTs) as random draws from this distribution. We compare several model ensembles, where individual ensemble members vary only in the plant traits that define PFTs, and separate ensembles differ from each other based on either model structural assumptions or non-trait, ecosystem-level parameters, which include (a) the number of competing PFTs present in any simulation and (b) parameters that govern disturbance and height-based light competition. While singlePFT simulations are roughly consistent with observations of productivity at Barro Colorado Island, increasing the number of competing PFTs strongly shifts model predictions towards higher productivity and biomass forests. Different ecosystem variables show greater sensitivity than others to the number of competing PFTs, with the predictions that are most dominated by large trees, such as biomass, being the most sensitive. Changing disturbance and height-sorting parameters, i.e., the rules of competitive trait filtering, shifts regimes of dominance or coexistence between early-and late-successional PFTs in the model. Increases to the extent or severity of disturbance, or to the degree of determinism in height-based light competition, all act to shift the community towards early-successional PFTs. In turn, these shifts in competitive outcomes alter predictions of ecosystem states and fluxes, with more early-successional-dominated forests having lower biomass. It is thus crucial to differentiate between plant traits, which are under competitive pressure in VDMs, from those model parameters that are not and to better understand the relationships between these two types of model parameters to quantify sources of uncertainty in VDMs.

Published
2020

9. Assessing the spatial scale of synchrony in forest tree population dynamics.

Author

Chisholm, Ryan A., Fung, Tak, Anderson-Teixeira, Kristina J., Bourg, Norman A., Brockelman, Warren Y., Bunyavejchewin, Sarayudh, Chang-Yang, Chia-Hao, Chen, Yu-Yun, Chuyong, George B., Condit, Richard, Dattaraja, Handanakere S., Davies, Stuart J., Ediriweera, Sisira, Ewango, Corneille E. N., Fernando, Edwino S., Gunatilleke, I. A. U. Nimal, Gunatilleke, C. V. Savitri, Hao, Zhanqing, Howe, Robert W., and Kenfack, David

Abstract

Populations of forest trees exhibit large temporal fluctuations, but little is known about the synchrony of these fluctuations across space, including their sign, magnitude, causes and characteristic scales. These have important implications for metapopulation persistence and theoretical community ecology. Using data from permanent forest plots spanning local, regional and global spatial scales, we measured spatial synchrony in tree population growth rates over sub-decadal and decadal timescales and explored the relationship of synchrony to geographical distance. Synchrony was high at local scales of less than 1 km, with estimated Pearson correlations of approximately 0.6–0.8 between species' population growth rates across pairs of quadrats. Synchrony decayed by approximately 17–44% with each order of magnitude increase in distance but was still detectably positive at distances of 100 km and beyond. Dispersal cannot explain observed large-scale synchrony because typical seed dispersal distances (<100 m) are far too short to couple the dynamics of distant forests on decadal timescales. We attribute the observed synchrony in forest dynamics primarily to the effect of spatially synchronous environmental drivers (the Moran effect), in particular climate, although pests, pathogens and anthropogenic drivers may play a role for some species. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Making forest data fair and open

Author

de Lima, Renato A. F., Phillips, Oliver L., Duque, Alvaro, Tello, J. Sebastian, Davies, Stuart J., de Oliveira, Alexandre Adalardo, Muller, Sandra, Honorio Coronado, Euridice N., Vilanova, Emilio, Cuni-Sanchez, Aida, Baker, Timothy R., Ryan, Casey M., Malizia, Agustina, Lewis, Simon L., ter Steege, Hans, Ferreira, Joice, Marimon, Beatriz Schwantes, Luu, Hong Truong, Imani, Gerard, Arroyo, Luzmila, Blundo, Cecilia, Kenfack, David, Sainge, Moses N., Sonké, Bonaventure, and Vásquez, Rodolfo

Published
2022
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11. Climate sensitive size-dependent survival in tropical trees

Author

Johnson, Daniel J, Needham, Jessica, Xu, Chonggang, Massoud, Elias C, Davies, Stuart J, Anderson-Teixeira, Kristina J, Bunyavejchewin, Sarayudh, Chambers, Jeffery Q, Chang-Yang, Chia-Hao, Chiang, Jyh-Min, Chuyong, George B, Condit, Richard, Cordell, Susan, Fletcher, Christine, Giardina, Christian P, Giambelluca, Thomas W, Gunatilleke, Nimal, Gunatilleke, Savitri, Hsieh, Chang-Fu, Hubbell, Stephen, Inman-Narahari, Faith, Kassim, Abdul Rahman, Katabuchi, Masatoshi, Kenfack, David, Litton, Creighton M, Lum, Shawn, Mohamad, Mohizah, Nasardin, Musalmah, Ong, Perry S, Ostertag, Rebecca, Sack, Lawren, Swenson, Nathan G, Sun, I Fang, Tan, Sylvester, Thomas, Duncan W, Thompson, Jill, Umaña, Maria Natalia, Uriarte, Maria, Valencia, Renato, Yap, Sandra, Zimmerman, Jess, McDowell, Nate G, and McMahon, Sean M

Subjects
Climate Change Impacts and Adaptation, Biological Sciences, Ecology, Environmental Sciences, Climate Action, Life on Land, Biomass, Carbon, Plant Leaves, Seeds, Temperature, Trees, Tropical Climate, Water, Evolutionary biology, Environmental management
Abstract

Survival rates of large trees determine forest biomass dynamics. Survival rates of small trees have been linked to mechanisms that maintain biodiversity across tropical forests. How species survival rates change with size offers insight into the links between biodiversity and ecosystem function across tropical forests. We tested patterns of size-dependent tree survival across the tropics using data from 1,781 species and over 2 million individuals to assess whether tropical forests can be characterized by size-dependent life-history survival strategies. We found that species were classifiable into four 'survival modes' that explain life-history variation that shapes carbon cycling and the relative abundance within forests. Frequently collected functional traits, such as wood density, leaf mass per area and seed mass, were not generally predictive of the survival modes of species. Mean annual temperature and cumulative water deficit predicted the proportion of biomass of survival modes, indicating important links between evolutionary strategies, climate and carbon cycling. The application of survival modes in demographic simulations predicted biomass change across forest sites. Our results reveal globally identifiable size-dependent survival strategies that differ across diverse systems in a consistent way. The abundance of survival modes and interaction with climate ultimately determine forest structure, carbon storage in biomass and future forest trajectories.

Published
2018

17. 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

19. The interspecific growth–mortality trade-off is not a general framework for tropical forest community structure

Author

Russo, Sabrina E., McMahon, Sean M., Detto, Matteo, Ledder, Glenn, Wright, S. Joseph, Condit, Richard S., Davies, Stuart J., Ashton, Peter S., Bunyavejchewin, Sarayudh, Chang-Yang, Chia-Hao, Ediriweera, Sisira, Ewango, Corneille E. N., Fletcher, Christine, Foster, Robin B., Gunatilleke, C. V. Savi, Gunatilleke, I. A. U. Nimal, Hart, Terese, Hsieh, Chang-Fu, Hubbell, Stephen P., Itoh, Akira, Kassim, Abdul Rahman, Leong, Yao Tze, Lin, Yi Ching, Makana, Jean-Remy, Mohamad, Mohizah Bt., Ong, Perry, Sugiyama, Anna, Sun, I-Fang, Tan, Sylvester, Thompson, Jill, Yamakura, Takuo, Yap, Sandra L., and Zimmerman, Jess K.

Published
2021
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21. 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

22. Global importance of large-diameter trees

Author

Lutz, James A., Furniss, Tucker J., Johnson, Daniel J., Davies, Stuart J., Allen, David, Alonso, Alfonso, Anderson-Teixeira, Kristina J., Andrade, Ana, Baltzer, Jennifer, Becker, Kendall M. L., Blomdahl, Erika M., Bourg, Norman A., Bunyavejchewin, Sarayudh, Burslem, David F. R. P., Cansler, C. Alina, Cao, Ke, Cao, Min, Cárdenas, Dairon, Chang, Li-Wan, Chao, Kuo-Jung, Chao, Wei-Chun, Chiang, Jyh-Min, Chu, Chengjin, Chuyong, George B., Clay, Keith, Condit, Richard, Cordell, Susan, Dattaraja, Handanakere S., Duque, Alvaro, Ewango, Corneille E. N., Fischer, Gunter A., Fletcher, Christine, Freund, James A., Giardina, Christian, Germain, Sara J., Gilbert, Gregory S., Hao, Zhanqing, Hart, Terese, Hau, Billy C. H., He, Fangliang, Hector, Andrew, Howe, Robert W., Hsieh, Chang-Fu, Hu, Yue-Hua, Hubbell, Stephen P., Inman-Narahari, Faith M., Itoh, Akira, Janík, David, Kassim, Abdul Rahman, Kenfack, David, Korte, Lisa, Král, Kamil, Larson, Andrew J., Li, YiDe, Lin, Yiching, Liu, Shirong, Lum, Shawn, Ma, Keping, Makana, Jean-Remy, Malhi, Yadvinder, McMahon, Sean M., McShea, William J., Memiaghe, Hervé R., Mi, Xiangcheng, Morecroft, Michael, Musili, Paul M., Myers, Jonathan A., Novotny, Vojtech, de Oliveira, Alexandre, Ong, Perry, Orwig, David A., Ostertag, Rebecca, Parker, Geoffrey G., Patankar, Rajit, Phillips, Richard P., Reynolds, Glen, Sack, Lawren, Song, Guo-Zhang M., Su, Sheng-Hsin, Sukumar, Raman, Sun, I-Fang, Suresh, Hebbalalu S., Swanson, Mark E., Tan, Sylvester, Thomas, Duncan W., Thompson, Jill, Uriarte, Maria, Valencia, Renato, Vicentini, Alberto, Vrška, Tomáš, Wang, Xugao, Weiblen, George D., Wolf, Amy, Wu, Shu-Hui, Xu, Han, Yamakura, Takuo, Yap, Sandra, and Zimmerman, Jess K.

Published
2018

24. Ground Data are Essential for Biomass Remote Sensing Missions

Author

Chave, Jérôme, Davies, Stuart J., Phillips, Oliver L., Lewis, Simon L., Sist, Plinio, Schepaschenko, Dmitry, Armston, John, Baker, Tim R., Coomes, David, Disney, Mathias, Duncanson, Laura, Hérault, Bruno, Labrière, Nicolas, Meyer, Victoria, Réjou-Méchain, Maxime, Scipal, Klaus, and Saatchi, Sassan

Published
2019
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27. Soil nitrogen concentration mediates the relationship between leguminous trees and neighbor diversity in tropical forests

Author

Xu, Han, Detto, Matteo, Fang, Suqin, Chazdon, Robin L., Li, Yide, Hau, Billy C. H., Fischer, Gunter A., Weiblen, George D., Hogan, J. Aaron, Zimmerman, Jess K., Uriarte, Maria, Thompson, Jill, Lian, Juyu, Cao, Ke, Kenfack, David, Alonso, Alfonso, Bissiengou, Pulchérie, Memiaghe, Hervé Roland, Valencia, Renato, Yap, Sandra L., Davies, Stuart J., Mi, Xiangcheng, and Yao, Tze Leong

Published
2020
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35. Plant diversity increases with the strength of negative density dependence at the global scale

Author

LaManna, Joseph A., Mangan, Scott A., Alonso, Alfonso, Bourg, Norman A., Brockelman, Warren Y., Bunyavejchewin, Sarayudh, Chang, Li-Wan, Chiang, Jyh-Min, Chuyong, George B., Clay, Keith, Condit, Richard, Cordell, Susan, Davies, Stuart J., Furniss, Tucker J., Giardina, Christian P., Gunatilleke, I. A. U. Nimal, Gunatilleke, C. V. Savitri, He, Fangliang, Howe, Robert W., Hubbell, Stephen P., Hsieh, Chang-Fu, Inman-Narahari, Faith M., Janík, David, Johnson, Daniel J., Kenfack, David, Korte, Lisa, Král, Kamil, Larson, Andrew J., Lutz, James A., McMahon, Sean M., McShea, William J., Memiaghe, Hervé R., Nathalang, Anuttara, Novotny, Vojtech, Ong, Perry S., Orwig, David A., Ostertag, Rebecca, Parker, Geoffrey G., Phillips, Richard P., Sack, Lawren, Sun, I-Fang, Tello, J. Sebastián, Thomas, Duncan W., Turner, Benjamin L., Díaz, Dilys M. Vela, Vrška, Tomáš, Weiblen, George D., Wolf, Amy, Yap, Sandra, and Myers, Jonathan A.

Published
2017

41. Damage to living trees contributes to almost half of the biomass losses in tropical forests

Author

Zuleta, Daniel, primary, Arellano, Gabriel, additional, McMahon, Sean M., additional, Aguilar, Salomón, additional, Bunyavejchewin, Sarayudh, additional, Castaño, Nicolas, additional, Chang‐Yang, Chia‐Hao, additional, Duque, Alvaro, additional, Mitre, David, additional, Nasardin, Musalmah, additional, Pérez, Rolando, additional, Sun, I‐Fang, additional, Yao, Tze Leong, additional, Valencia, Renato, additional, Krishna Moorthy, Sruthi M., additional, Verbeeck, Hans, additional, and Davies, Stuart J., additional

Published
2023
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42. Toward a forest biomass reference measurement system for remote sensing applications

Author

Labriere, Nicolas, Davies, Stuart J., Disney, Mathias, Duncanson, Laura, Herold, Martin, Lewis, Simon L., Phillips, Oliver L., Quegan, Shaun, Saatchi, Sassan, Schepaschenko, Dmitry, Scipal, Klaus, Sist, Plinio, Chave, Jérôme, Labriere, Nicolas, Davies, Stuart J., Disney, Mathias, Duncanson, Laura, Herold, Martin, Lewis, Simon L., Phillips, Oliver L., Quegan, Shaun, Saatchi, Sassan, Schepaschenko, Dmitry, Scipal, Klaus, Sist, Plinio, and Chave, Jérôme

Abstract

Forests contribute to climate change mitigation through carbon storage and uptake, but the extent to which this carbon pool varies in space and time is still poorly known. Several Earth Observation missions have been specifically designed to address this issue, for example, NASA's GEDI, NASA-ISRO's NISAR and ESA's BIOMASS. Yet, all these missions' products require independent and consistent validation. A permanent, global, in situ, site-based forest biomass reference measurement system relying on ground data of the highest possible quality is therefore needed. Here, we have assembled a list of almost 200 high-quality sites through an in-depth review of the literature and expert knowledge. In this study, we explore how representative these sites are in terms of their coverage of environmental conditions, geographical space and biomass-related forest structure, compared to those experienced by forests worldwide. This work also aims at identifying which sites are the most representative, and where to invest to improve the representativeness of the proposed system. We show that the environmental coverage of the system does not seem to improve after at least the 175 most representative sites are included, but geographical and structural coverages continue to improve as more sites are added. We highlight the areas of poor environmental, geographical, or structural coverage, including, but not limited to, Canada, the western half of the USA, Mexico, Patagonia, Angola, Zambia, eastern Russia, and tropical and subtropical highlands (e.g. in Colombia, the Himalayas, Borneo, Papua). For the proposed system to succeed, we stress that (1) data must be collected and processed applying the same standards across all countries and continents; (2) system establishment and management must be inclusive and equitable, with careful consideration of working conditions; and (3) training and site partner involvement in downstream activities should be mandatory.

Published
2023

45. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Author

Schepaschenko, Dmitry, Chave, Jérôme, Phillips, Oliver L., Lewis, Simon L., Davies, Stuart J., Réjou-Méchain, Maxime, Sist, Plinio, Scipal, Klaus, Perger, Christoph, Herault, Bruno, Labrière, Nicolas, Hofhansl, Florian, Affum-Baffoe, Kofi, Aleinikov, Alexei, Alonso, Alfonso, Amani, Christian, Araujo-Murakami, Alejandro, Armston, John, Arroyo, Luzmila, Ascarrunz, Nataly, Azevedo, Celso, Baker, Timothy, Bałazy, Radomir, Bedeau, Caroline, Berry, Nicholas, Bilous, Andrii M., Bilous, Svitlana Yu., Bissiengou, Pulchérie, Blanc, Lilian, Bobkova, Kapitolina S., Braslavskaya, Tatyana, Brienen, Roel, Burslem, David F. R. P., Condit, Richard, Cuni-Sanchez, Aida, Danilina, Dilshad, del Castillo Torres, Dennis, Derroire, Géraldine, Descroix, Laurent, Sotta, Eleneide Doff, d’Oliveira, Marcus V. N., Dresel, Christopher, Erwin, Terry, Evdokimenko, Mikhail D., Falck, Jan, Feldpausch, Ted R., Foli, Ernest G., Foster, Robin, Fritz, Steffen, Garcia-Abril, Antonio Damian, Gornov, Aleksey, Gornova, Maria, Gothard-Bassébé, Ernest, Gourlet-Fleury, Sylvie, Guedes, Marcelino, Hamer, Keith C., Susanty, Farida Herry, Higuchi, Niro, Coronado, Eurídice N. Honorio, Hubau, Wannes, Hubbell, Stephen, Ilstedt, Ulrik, Ivanov, Viktor V., Kanashiro, Milton, Karlsson, Anders, Karminov, Viktor N., Killeen, Timothy, Koffi, Jean-Claude Konan, Konovalova, Maria, Kraxner, Florian, Krejza, Jan, Krisnawati, Haruni, Krivobokov, Leonid V., Kuznetsov, Mikhail A., Lakyda, Ivan, Lakyda, Petro I., Licona, Juan Carlos, Lucas, Richard M., Lukina, Natalia, Lussetti, Daniel, Malhi, Yadvinder, Manzanera, José Antonio, Marimon, Beatriz, Junior, Ben Hur Marimon, Martinez, Rodolfo Vasquez, Martynenko, Olga V., Matsala, Maksym, Matyashuk, Raisa K., Mazzei, Lucas, Memiaghe, Hervé, Mendoza, Casimiro, Mendoza, Abel Monteagudo, Moroziuk, Olga V., Mukhortova, Liudmila, Musa, Samsudin, Nazimova, Dina I., Okuda, Toshinori, Oliveira, Luis Claudio, Ontikov, Petr V., Osipov, Andrey F., Pietsch, Stephan, Playfair, Maureen, Poulsen, John, Radchenko, Vladimir G., Rodney, Kenneth, Rozak, Andes H., Ruschel, Ademir, Rutishauser, Ervan, See, Linda, Shchepashchenko, Maria, Shevchenko, Nikolay, Shvidenko, Anatoly, Silveira, Marcos, Singh, James, Sonké, Bonaventure, Souza, Cintia, Stereńczak, Krzysztof, Stonozhenko, Leonid, Sullivan, Martin J P, Szatniewska, Justyna, Taedoumg, Hermann, ter Steege, Hans, Tikhonova, Elena, Toledo, Marisol, Trefilova, Olga V., Valbuena, Ruben, Gamarra, Luis Valenzuela, Vasiliev, Sergey, Vedrova, Estella F., Verhovets, Sergey V., Vidal, Edson, Vladimirova, Nadezhda A., Vleminckx, Jason, Vos, Vincent A., Vozmitel, Foma K., Wanek, Wolfgang, West, Thales A. P., Woell, Hannsjorg, Woods, John T., Wortel, Verginia, Yamada, Toshihiro, Nur Hajar, Zamah Shari, and Zo-Bi, Irié Casimir

Published
2019
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46. Canopy tree mortality depends on the proportion of crown exposed to sunlight, but this effect varies with species' wood density.

Author

Gómez‐Correa, Luisa F., Jaramillo‐Hernández, Camila, Duque, Alvaro, Araujo, Raquel Fernandes, Arellano, Gabriel, Davies, Stuart J., Castaño, Nicolas, Haarpaintner, Jörg, Enßle, Fabian, and Zuleta, Daniel

Subjects
WOOD density, TREE mortality, LIFE history theory, SUNSHINE, TREE size, DEAD trees
Abstract

Copyright of Biotropica 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
2023
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47. Major axes of variation in tree demography across global forests

Author

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

Published
2023
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49. Toward a forest biomass reference measurement system for remote sensing applications

Author

Labrière, Nicolas, primary, Davies, Stuart J., additional, Disney, Mathias I., additional, Duncanson, Laura I., additional, Herold, Martin, additional, Lewis, Simon L., additional, Phillips, Oliver L., additional, Quegan, Shaun, additional, Saatchi, Sassan S., additional, Schepaschenko, Dmitry G., additional, Scipal, Klaus, additional, Sist, Plinio, additional, and Chave, Jérôme, additional

Published
2022
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