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1. Assessing trait-based scaling theory in tropical forests spanning a broad temperature gradient

Author: Enquist, BJ, Bentley, LP, Shenkin, A, Maitner, B, Savage, V, Michaletz, S, Blonder, B, Buzzard, V, Espinoza, TEB, Farfan-Rios, W, Doughty, CE, Goldsmith, GR, Martin, RE, Salinas, N, Silman, M, Díaz, S, Asner, GP, and Malhi, Y
Subjects: Amazon, Andes, ecosystem function, elevation gradient, metabolic scaling theory, scaling, stoichiometry, trait-based ecology, Ecology, Physical Geography and Environmental Geoscience, Ecological Applications
Abstract: Aim: Tropical elevation gradients are natural laboratories to assess how changing climate can influence tropical forests. However, there is a need for theory and integrated data collection to scale from traits to ecosystems. We assess predictions of a novel trait-based scaling theory, including whether observed shifts in forest traits across a broad tropical temperature gradient are consistent with local phenotypic optima and adaptive compensation for temperature. Location: An elevation gradient spanning 3,300 m and consisting of thousands of tropical tree trait measures taken from 16 1-ha tropical forest plots in southern Perú, where gross and net primary productivity (GPP and NPP) were measured. Time period: April to November 2013. Major taxa studied: Plants; tropical trees. Methods: We developed theory to scale from traits to communities and ecosystems and tested several predictions. We assessed the covariation between climate, traits, biomass and GPP and NPP. We measured multiple traits linked to variation in tree growth and assessed their frequency distributions within and across the elevation gradient. We paired these trait measures across individuals within 16 forests with simultaneous measures of ecosystem net and gross primary productivity. Results: Consistent with theory, variation in forest NPP and GPP primarily scaled with forest biomass, but the secondary effect of temperature on productivity was much less than expected. This weak temperature dependence appears to reflect directional shifts in several mean community traits that underlie tree growth with decreases in site temperature. Main conclusions: The observed shift in traits of trees that dominate in more cold environments is consistent with an ‘adaptive/acclimatory’ compensation for the kinetic effects of temperature on leaf photosynthesis and tree growth. Forest trait distributions across the gradient showed overly peaked and skewed distributions, consistent with the importance of local filtering of optimal growth traits and recent shifts in species composition and dominance attributable to warming from climate change. Trait-based scaling theory provides a basis to predict how shifts in climate have and will influence the trait composition and ecosystem functioning of tropical forests.
Published: 2017

2. Positive feedbacks and alternative stable states in forest leaf types

Author: Zou, Y., Zohner, C., Averill, C., Ma, H., Merder, J., Berdugo, M., Bialic-Murphy, L., Mo, L., Brun, P., Zimmermann, N., Liang, J., de-Miguel, S., Nabuurs, G.-J., Reich, P., Niinements, U., Dahlgren, J., Kändler, G., Ratcliffe, S., Ruiz-Benito, P., de Zavala, M., Abegg, M., Adou Yao, Y., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Ferreira, L., Finér, L., Fischer, M., Fletcher, C., Fridman, J., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Herold, M., Hillers, A., Honorio Coronado, E., Hui, C., Ibanez, T., Iêda, A., Imai, N., Jagodziński, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Kucher, D., Meave, J., Melo-Cruz, O., Mendoza, C., Merow, C., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Saner, P., Schall, P., Schelhaas, M., Shchepashchenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Seben, V., Serra-Diaz, J., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Miscicki, S., Stereńczak, K., Svenning, J., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., ter Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Van Do, T., van Nuland, M., Vasquez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H., Watson, J., Werner, G., Westerlund, B., Wiser, S., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z., Zo-Bi, I., Crowther, T., Zou, Y., Zohner, C., Averill, C., Ma, H., Merder, J., Berdugo, M., Bialic-Murphy, L., Mo, L., Brun, P., Zimmermann, N., Liang, J., de-Miguel, S., Nabuurs, G.-J., Reich, P., Niinements, U., Dahlgren, J., Kändler, G., Ratcliffe, S., Ruiz-Benito, P., de Zavala, M., Abegg, M., Adou Yao, Y., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Ferreira, L., Finér, L., Fischer, M., Fletcher, C., Fridman, J., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Herold, M., Hillers, A., Honorio Coronado, E., Hui, C., Ibanez, T., Iêda, A., Imai, N., Jagodziński, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Kucher, D., Meave, J., Melo-Cruz, O., Mendoza, C., Merow, C., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Saner, P., Schall, P., Schelhaas, M., Shchepashchenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Seben, V., Serra-Diaz, J., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Miscicki, S., Stereńczak, K., Svenning, J., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., ter Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Van Do, T., van Nuland, M., Vasquez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H., Watson, J., Werner, G., Westerlund, B., Wiser, S., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z., Zo-Bi, I., and Crowther, T.
Abstract: The emergence of alternative stable states in forest systems has significant implications for the functioning and structure of the terrestrial biosphere, yet empirical evidence remains scarce. Here, we combine global forest biodiversity observations and simulations to test for alternative stable states in the presence of evergreen and deciduous forest types. We reveal a bimodal distribution of forest leaf types across temperate regions of the Northern Hemisphere that cannot be explained by the environment alone, suggesting signatures of alternative forest states. Moreover, we empirically demonstrate the existence of positive feedbacks in tree growth, recruitment and mortality, with trees having 4–43% higher growth rates, 14–17% higher survival rates and 4–7 times higher recruitment rates when they are surrounded by trees of their own leaf type. Simulations show that the observed positive feedbacks are necessary and sufficient to generate alternative forest states, which also lead to dependency on history (hysteresis) during ecosystem transition from evergreen to deciduous forests and vice versa. We identify hotspots of bistable forest types in evergreen-deciduous ecotones, which are likely driven by soil-related positive feedbacks. These findings are integral to predicting the distribution of forest biomes, and aid to our understanding of biodiversity, carbon turnover, and terrestrial climate feedbacks.
Published: 2024
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3. The global biogeography of tree leaf form and habit

Author: Ma, H., Crowther, T., Mo, L., Maynard, D., Renner, S., van den Hoogen, J., Zou, Y., Liang, J., de-Miguel, S., Nabuurs, G.-J., Reich, P., Niinemets, Ü., Abegg, M., Adou Yao, Y., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Engone Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Ferreira, L., Finér, L., Fischer, M., Fletcher, C., Fridman, J., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Herold, M., Hillers, A., Honorio Coronado, E., Hui, C., Ibanez, T., Amaral, I., Imai, N., Jagodziński, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Kucher, D., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Meave, J., Melo-Cruz, O., Mendoza, C., Merow, C., Monteagudo Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Mendoza-Polo, I., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Saner, P., Schall, P., Schelhaas, M.-J., Shchepashchenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Seben, V., Serra-Diaz, J., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Miścicki, S., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., ter Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Van Do, T., van Nuland, M., Vasquez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Westerlund, B., Wiser, S., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo-Bi, I., Zohner, C., Ma, H., Crowther, T., Mo, L., Maynard, D., Renner, S., van den Hoogen, J., Zou, Y., Liang, J., de-Miguel, S., Nabuurs, G.-J., Reich, P., Niinemets, Ü., Abegg, M., Adou Yao, Y., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Engone Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Ferreira, L., Finér, L., Fischer, M., Fletcher, C., Fridman, J., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Herold, M., Hillers, A., Honorio Coronado, E., Hui, C., Ibanez, T., Amaral, I., Imai, N., Jagodziński, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Kucher, D., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Meave, J., Melo-Cruz, O., Mendoza, C., Merow, C., Monteagudo Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Mendoza-Polo, I., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Saner, P., Schall, P., Schelhaas, M.-J., Shchepashchenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Seben, V., Serra-Diaz, J., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Miścicki, S., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., ter Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Van Do, T., van Nuland, M., Vasquez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Westerlund, B., Wiser, S., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo-Bi, I., and Zohner, C.
Abstract: Understanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4 Gt), 54% (335.7 Gt), 22% (136.2 Gt) and 3% (18.7 Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling.
Published: 2023
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4. Integrated global assessment of the natural forest carbon potential

Author: Mo, L., Zohner, C., Reich, P., Liang, J., de Miguel, S., Nabuurs, G., Renner, S., van den Hoogen, J., Araza, A., Herold, M., Mirzagholi, L., Ma, H., Averill, C., Phillips, O., Gamarra, J., Hordijk, I., Routh, D., Abegg, M., Adou Yao, Y., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L., Amaral, I., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Engone Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Ferreira, L., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Ibanez, T., Imai, N., Jagodziński, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Kucher, D., Laarmann, D., Lang, M., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Meave, J., Melo-Cruz, O., Mendoza, C., Mendoza-Polo, I., Miscicki, S., Merow, C., Monteagudo Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Picard, N., Piedade, M., Piotto, D., Pitman, N., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Saner, P., Schall, P., Schelhaas, M., Shchepashchenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Seben, V., Serra-Diaz, J., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., ter Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Van Do, T., van Nuland, M., Vasquez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H., Watson, J., Werner, G., Wiser, S., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z., Zo-Bi, I., Gann, G., Crowther, T., Mo, L., Zohner, C., Reich, P., Liang, J., de Miguel, S., Nabuurs, G., Renner, S., van den Hoogen, J., Araza, A., Herold, M., Mirzagholi, L., Ma, H., Averill, C., Phillips, O., Gamarra, J., Hordijk, I., Routh, D., Abegg, M., Adou Yao, Y., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L., Amaral, I., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Engone Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Ferreira, L., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Ibanez, T., Imai, N., Jagodziński, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Kucher, D., Laarmann, D., Lang, M., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Meave, J., Melo-Cruz, O., Mendoza, C., Mendoza-Polo, I., Miscicki, S., Merow, C., Monteagudo Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Picard, N., Piedade, M., Piotto, D., Pitman, N., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Saner, P., Schall, P., Schelhaas, M., Shchepashchenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Seben, V., Serra-Diaz, J., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., ter Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Van Do, T., van Nuland, M., Vasquez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H., Watson, J., Werner, G., Wiser, S., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z., Zo-Bi, I., Gann, G., and Crowther, T.
Abstract: Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system1. Remote-sensing estimates to quantify carbon losses from global forests2–5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced6 and satellite-derived approaches2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151–363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets.
Published: 2023

5. Evenness mediates the global relationship between forest productivity and richness

Author: Hordijk, I., Maynard, D.S., Hart, S.P., Lidong, M., ter Steege, H., Liang, J., de‐Miguel, S., Nabuurs, G.‐J., Reich, P., Abegg, M., Adou Yao, C., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Esteban, A.-D., Alvarez‐Loayza, P., Alves, L., Ammer, C., Antón‐Fernández, C., Araujo‐Murakami, A., Arroyo, L., Avitabile, V., Aymard C, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral‐Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Nestor Laurier, E., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Ferreira, L., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Cho, H., Ibanez, T., Bin Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johanssen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer‐Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon‐Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo‐Cruz, O., Mendoza, C., Merow, C., Stanislaw, M., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava‐Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz‐Malavasi, E., Pan, Y., Paquette, A., Parada‐Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo‐Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Scherer‐Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Šebeň, V., Serra‐Diaz, J., Sheil, D., Shvidenko, A., Silva‐Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Tran, D., Van Nuland, M., Vasquez Martinez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila‐Niedzwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo‐Bi, I., Crowther, T., Hordijk, I., Maynard, D.S., Hart, S.P., Lidong, M., ter Steege, H., Liang, J., de‐Miguel, S., Nabuurs, G.‐J., Reich, P., Abegg, M., Adou Yao, C., Alberti, G., Almeyda Zambrano, A., Alvarado, B., Esteban, A.-D., Alvarez‐Loayza, P., Alves, L., Ammer, C., Antón‐Fernández, C., Araujo‐Murakami, A., Arroyo, L., Avitabile, V., Aymard C, G., Baker, T., Bałazy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Coomes, D., Cornejo Valverde, F., Corral‐Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Nestor Laurier, E., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Ferreira, L., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J., Hillers, A., Honorio Coronado, E., Hui, C., Cho, H., Ibanez, T., Bin Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johanssen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer‐Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon‐Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo‐Cruz, O., Mendoza, C., Merow, C., Stanislaw, M., Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava‐Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz‐Malavasi, E., Pan, Y., Paquette, A., Parada‐Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Picard, N., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez Arevalo, F., Restrepo‐Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Scherer‐Lorenzen, M., Schmid, B., Schöngart, J., Searle, E., Šebeň, V., Serra‐Diaz, J., Sheil, D., Shvidenko, A., Silva‐Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valencia, R., Valladares, F., van der Plas, F., Tran, D., Van Nuland, M., Vasquez Martinez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila‐Niedzwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo‐Bi, I., and Crowther, T.
Abstract: 1. Biodiversity is an important component of natural ecosystems, with higher species richness often correlating with an increase in ecosystem productivity. Yet, this relationship varies substantially across environments, typically becoming less pronounced at high levels of species richness. However, species richness alone cannot reflect all important properties of a community, including community evenness, which may mediate the relationship between biodiversity and productivity. If the evenness of a community correlates negatively with richness across forests globally, then a greater number of species may not always increase overall diversity and productivity of the system. Theoretical work and local empirical studies have shown that the effect of evenness on ecosystem functioning may be especially strong at high richness levels, yet the consistency of this remains untested at a global scale. 2. Here, we used a dataset of forests from across the globe, which includes composition, biomass accumulation and net primary productivity, to explore whether productivity correlates with community evenness and richness in a way that evenness appears to buffer the effect of richness. Specifically, we evaluated whether low levels of evenness in speciose communities correlate with the attenuation of the richness–productivity relationship. 3. We found that tree species richness and evenness are negatively correlated across forests globally, with highly speciose forests typically comprising a few dominant and many rare species. Furthermore, we found that the correlation between diversity and productivity changes with evenness: at low richness, uneven communities are more productive, while at high richness, even communities are more productive. 4. Synthesis. Collectively, these results demonstrate that evenness is an integral component of the relationship between biodiversity and productivity, and that the attenuating effect of richness on forest productivity might be partly explain
Published: 2023
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6. Co-limitation towards lower latitudes shapes global forest diversity gradients

Author: Liang, J., Gamarra, J. G. P., Picard, N., Zhou, M., Pijanowski, B., Jacobs, D. F., Reich, P. B., Crowther, T. W., Nabuurs, G. -J., de-Miguel, S., Fang, J., Pfautsch, S., Phillips, O. L., Piedade, M. T. F., Piotto, D., Pollastrini, M., Poorter, L., Poulsen, J. R., Poulsen, A. D., Pretzsch, H., Keppel, G., Gonzalez-Elizondo, M. S., Rodeghiero, M., Rolim, S. G., Rovero, F., Rutishauser, E., Sagheb-Talebi, K., Saikia, P., Sainge, M. N., Salas-Eljatib, C., Salis, A., Schall, P., Gorenstein, L., Hengeveld, G. M., Schepaschenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Šebeň, V., Sellan, G., Selvi, F., Serra-Diaz, J. M., Sheil, D., Habonayo, R., Shvidenko, A. Z., Ibisch, P. L., Sist, P., Souza, A. F., Stereńczak, K. J., Sullivan, M. J. P., Sundarapandian, S., Svoboda, M., Swaine, M. D., Targhetta, N., Hardy, O. J., Tchebakova, N., Trethowan, L. A., Silva, C. A., Tropek, R., Mukendi, J. T., Umunay, P. M., Usoltsev, V. A., Vaglio, Laurin, G., Valentini, R., Valladares, F., Harris, D. J., van, der, Plas, F., Vega-Nieva, D. J., Verbeeck, H., ter, Steege, H., Viana, H., Vibrans, A. C., Vieira, S. A., Vleminckx, J., Waite, C. E., Wang, H. -F., Hector, A., Wasingya, E. K., Wekesa, C., Westerlund, B., Wittmann, F., Peri, P. L., Wortel, V., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhu, J., Hemp, A., Zhu, X., Zhu, Z. -X., Zo-Bi, I. C., Hui, C., Coomes, D. A., Searle, E. B., von, Gadow, K., Jaroszewicz, B., Abbasi, A. O., Abegg, M., Herold, M., Yao, Y. C. A., Aguirre-Gutiérrez, J., Zambrano, A. M. A., Altman, J., Alvarez-Dávila, E., Álvarez-González, J. G., Alves, L. F., Amani, B. H. K., Amani, C. A., Ammer, C., Hillers, A., Ilondea, B. A., Antón-Fernández, C., Avitabile, V., Aymard, G. A., Azihou, A. F., Baard, J. A., Baker, T. R., Balazy, R., Bastian, M. L., Batumike, R., Hubau, W., Bauters, M., Beeckman, H., Benu, N. M. H., Bitariho, R., Boeckx, P., Bogaert, J., Bongers, F., Bouriaud, O., Brancalion, P. H. S., Brandl, S., Woodall, C. W., Brearley, F. Q., Briseno-Reyes, J., Broadbent, E. N., Bruelheide, H., Bulte, E., Catlin, A. C., Cazzolla, Gatti, R., César, R. G., Chen, H. Y. H., Chisholm, C., Ibanez, T., Cienciala, E., Colletta, G. D., Corral-Rivas, J. J., Cuchietti, A., Cuni-Sanchez, A., Dar, J. A., Dayanandan, S., de, Haulleville, T., Decuyper, M., Delabye, S., Imai, N., Derroire, G., DeVries, B., Diisi, J., Do, T. V., Dolezal, J., Dourdain, A., Durrheim, G. P., Obiang, N. L. E., Ewango, C. E. N., Eyre, T. J., Imani, G., Fayle, T. M., Feunang, L. F. N., Finér, L., Fischer, M., Fridman, J., Frizzera, L., de, Gasper, A. L., Gianelle, D., Glick, H. B., Jagodzinski, A. M., Janecek, S., Johannsen, V. K., Joly, C. A., Jumbam, B., Kabelong, B. L. P. R., Kahsay, G. A., Svenning, J. -C., Karminov, V., Kartawinata, K., Kassi, J. N., Kearsley, E., Kennard, D. K., Kepfer-Rojas, S., Khan, M. L., Kigomo, J. N., Kim, H. S., Klauberg, C., Jucker, T., Klomberg, Y., Korjus, H., Kothandaraman, S., Kraxner, F., Kumar, A., Kuswandi, R., Lang, M., Lawes, M. J., Leite, R. V., Lentner, G., Bastin, J. -F., Lewis, S. L., Libalah, M. B., Lisingo, J., López-Serrano, P. M., Lu, H., Lukina, N. V., Lykke, A. M., Maicher, V., Maitner, B. S., Marcon, E., Wiser, S. K., Marshall, A. R., Martin, E. H., Martynenko, O., Mbayu, F. M., Mbuvi, M. T. E., Meave, J. A., Merow, C., Miscicki, S., Moreno, V. S., Morera, A., Slik, F., Mukul, S. A., Müller, J. C., Murdjoko, A., Nava-Miranda, M. G., Ndive, L. E., Neldner, V. J., Nevenic, R. V., Nforbelie, L. N., Ngoh, M. L., N’Guessan, A. E., Hérault, B., Ngugi, M. R., Ngute, A. S. K., Njila, E. N. N., Nyako, M. C., Ochuodho, T. O., Oleksyn, J., Paquette, A., Parfenova, E. I., Park, M., Parren, M., Alberti, G., Parthasarathy, N., Liang, J., Gamarra, J. G. P., Picard, N., Zhou, M., Pijanowski, B., Jacobs, D. F., Reich, P. B., Crowther, T. W., Nabuurs, G. -J., de-Miguel, S., Fang, J., Pfautsch, S., Phillips, O. L., Piedade, M. T. F., Piotto, D., Pollastrini, M., Poorter, L., Poulsen, J. R., Poulsen, A. D., Pretzsch, H., Keppel, G., Gonzalez-Elizondo, M. S., Rodeghiero, M., Rolim, S. G., Rovero, F., Rutishauser, E., Sagheb-Talebi, K., Saikia, P., Sainge, M. N., Salas-Eljatib, C., Salis, A., Schall, P., Gorenstein, L., Hengeveld, G. M., Schepaschenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Šebeň, V., Sellan, G., Selvi, F., Serra-Diaz, J. M., Sheil, D., Habonayo, R., Shvidenko, A. Z., Ibisch, P. L., Sist, P., Souza, A. F., Stereńczak, K. J., Sullivan, M. J. P., Sundarapandian, S., Svoboda, M., Swaine, M. D., Targhetta, N., Hardy, O. J., Tchebakova, N., Trethowan, L. A., Silva, C. A., Tropek, R., Mukendi, J. T., Umunay, P. M., Usoltsev, V. A., Vaglio, Laurin, G., Valentini, R., Valladares, F., Harris, D. J., van, der, Plas, F., Vega-Nieva, D. J., Verbeeck, H., ter, Steege, H., Viana, H., Vibrans, A. C., Vieira, S. A., Vleminckx, J., Waite, C. E., Wang, H. -F., Hector, A., Wasingya, E. K., Wekesa, C., Westerlund, B., Wittmann, F., Peri, P. L., Wortel, V., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhu, J., Hemp, A., Zhu, X., Zhu, Z. -X., Zo-Bi, I. C., Hui, C., Coomes, D. A., Searle, E. B., von, Gadow, K., Jaroszewicz, B., Abbasi, A. O., Abegg, M., Herold, M., Yao, Y. C. A., Aguirre-Gutiérrez, J., Zambrano, A. M. A., Altman, J., Alvarez-Dávila, E., Álvarez-González, J. G., Alves, L. F., Amani, B. H. K., Amani, C. A., Ammer, C., Hillers, A., Ilondea, B. A., Antón-Fernández, C., Avitabile, V., Aymard, G. A., Azihou, A. F., Baard, J. A., Baker, T. R., Balazy, R., Bastian, M. L., Batumike, R., Hubau, W., Bauters, M., Beeckman, H., Benu, N. M. H., Bitariho, R., Boeckx, P., Bogaert, J., Bongers, F., Bouriaud, O., Brancalion, P. H. S., Brandl, S., Woodall, C. W., Brearley, F. Q., Briseno-Reyes, J., Broadbent, E. N., Bruelheide, H., Bulte, E., Catlin, A. C., Cazzolla, Gatti, R., César, R. G., Chen, H. Y. H., Chisholm, C., Ibanez, T., Cienciala, E., Colletta, G. D., Corral-Rivas, J. J., Cuchietti, A., Cuni-Sanchez, A., Dar, J. A., Dayanandan, S., de, Haulleville, T., Decuyper, M., Delabye, S., Imai, N., Derroire, G., DeVries, B., Diisi, J., Do, T. V., Dolezal, J., Dourdain, A., Durrheim, G. P., Obiang, N. L. E., Ewango, C. E. N., Eyre, T. J., Imani, G., Fayle, T. M., Feunang, L. F. N., Finér, L., Fischer, M., Fridman, J., Frizzera, L., de, Gasper, A. L., Gianelle, D., Glick, H. B., Jagodzinski, A. M., Janecek, S., Johannsen, V. K., Joly, C. A., Jumbam, B., Kabelong, B. L. P. R., Kahsay, G. A., Svenning, J. -C., Karminov, V., Kartawinata, K., Kassi, J. N., Kearsley, E., Kennard, D. K., Kepfer-Rojas, S., Khan, M. L., Kigomo, J. N., Kim, H. S., Klauberg, C., Jucker, T., Klomberg, Y., Korjus, H., Kothandaraman, S., Kraxner, F., Kumar, A., Kuswandi, R., Lang, M., Lawes, M. J., Leite, R. V., Lentner, G., Bastin, J. -F., Lewis, S. L., Libalah, M. B., Lisingo, J., López-Serrano, P. M., Lu, H., Lukina, N. V., Lykke, A. M., Maicher, V., Maitner, B. S., Marcon, E., Wiser, S. K., Marshall, A. R., Martin, E. H., Martynenko, O., Mbayu, F. M., Mbuvi, M. T. E., Meave, J. A., Merow, C., Miscicki, S., Moreno, V. S., Morera, A., Slik, F., Mukul, S. A., Müller, J. C., Murdjoko, A., Nava-Miranda, M. G., Ndive, L. E., Neldner, V. J., Nevenic, R. V., Nforbelie, L. N., Ngoh, M. L., N’Guessan, A. E., Hérault, B., Ngugi, M. R., Ngute, A. S. K., Njila, E. N. N., Nyako, M. C., Ochuodho, T. O., Oleksyn, J., Paquette, A., Parfenova, E. I., Park, M., Parren, M., Alberti, G., and Parthasarathy, N.
Abstract: The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers. © 2022, The Author(s), under exclusive licence to Springer Nature Limited.
Published: 2022

7. The number of tree species on Earth

Author: Cazzolla Gatti, R., Reich, P., Gamarra, J., Crowther, T., Hui, C., Morera, A., Bastin, J.-F., de-Miguel, S., Nabuurs, G.-J., Svenning, J.-C., Serra-Diaz, J., Merow, C., Enquist, B., Kamenetsky, M., Lee, J., Zhu, J., Fang, J., Jacobs, D., Pijanowski, B., Banerjee, A., Giaquinto, R., Alberti, G., Almeyda Zambrano, A., Alvarez-Davila, E., Araujo-Murakami, A., Avitabile, V., Aymard, G., Balazy, R., Baraloto, C., Barroso, J., Bastian, M., Birnbaum, P., Bitariho, R., Bogaert, J., Bongers, F., Bouriaud, O., Brancalion, P., Brearley, F., Broadbent, E., Bussotti, F., Castro da Silva, W., César, R., Češljar, G., Chama Moscoso, V., Chen, H., Cienciala, E., Clark, C., Coomes, D., Dayanandan, S., Decuyper, M., Dee, L., Del Aguila Pasquel, J., Derroire, G., Djuikouo, M., Van Do, T., Dolezal, J., Đorđević, I., Engel, J., Fayle, T., Feldpausch, T., Fridman, J., Harris, D., Hemp, A., Hengeveld, G., Herault, B., Herold, M., Ibanez, T., Jagodzinski, A., Jaroszewicz, B., Jeffery, K., Johannsen, V., Jucker, T., Kangur, A., Karminov, V., Kartawinata, K., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Khare, P., Kileen, T., Kim, H., Korjus, H., Kumar, A., Laarmann, D., Labrière, N., Lang, M., Lewis, S., Lukina, N., Maitner, B., Malhi, Y., Marshall, A., Martynenko, O., Monteagudo Mendoza, A., Ontikov, P., Ortiz-Malavasi, E., Pallqui Camacho, N., Paquette, A., Park, M., Parthasarathy, N., Peri, P., Petronelli, P., Pfautsch, S., Phillips, O., Picard, N., Piotto, D., Poorter, L., Poulsen, J., Pretzsch, H., Ramírez-Angulo, H., Restrepo Correa, Z., Rodeghiero, M., Rojas Gonzáles, R., Rolim, S., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Shchepashchenko, D., Scherer-Lorenzen, M., Šebeň, V., Silveira, M., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svoboda, M., Taedoumg, H., Tchebakova, N., Terborgh, J., Tikhonova, E., Torres-Lezama, A., van der Plas, F., Vásquez, R., Viana, H., Vibrans, A., Vilanova, E., Vos, V., Wang, H.-F., Westerlund, B., White, L., Wiser, S., Zawiła-Niedźwiecki, T., Zemagho, L., Zhu, Z., Zo-Bi, I., Liang, J., Cazzolla Gatti, R., Reich, P., Gamarra, J., Crowther, T., Hui, C., Morera, A., Bastin, J.-F., de-Miguel, S., Nabuurs, G.-J., Svenning, J.-C., Serra-Diaz, J., Merow, C., Enquist, B., Kamenetsky, M., Lee, J., Zhu, J., Fang, J., Jacobs, D., Pijanowski, B., Banerjee, A., Giaquinto, R., Alberti, G., Almeyda Zambrano, A., Alvarez-Davila, E., Araujo-Murakami, A., Avitabile, V., Aymard, G., Balazy, R., Baraloto, C., Barroso, J., Bastian, M., Birnbaum, P., Bitariho, R., Bogaert, J., Bongers, F., Bouriaud, O., Brancalion, P., Brearley, F., Broadbent, E., Bussotti, F., Castro da Silva, W., César, R., Češljar, G., Chama Moscoso, V., Chen, H., Cienciala, E., Clark, C., Coomes, D., Dayanandan, S., Decuyper, M., Dee, L., Del Aguila Pasquel, J., Derroire, G., Djuikouo, M., Van Do, T., Dolezal, J., Đorđević, I., Engel, J., Fayle, T., Feldpausch, T., Fridman, J., Harris, D., Hemp, A., Hengeveld, G., Herault, B., Herold, M., Ibanez, T., Jagodzinski, A., Jaroszewicz, B., Jeffery, K., Johannsen, V., Jucker, T., Kangur, A., Karminov, V., Kartawinata, K., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Khare, P., Kileen, T., Kim, H., Korjus, H., Kumar, A., Laarmann, D., Labrière, N., Lang, M., Lewis, S., Lukina, N., Maitner, B., Malhi, Y., Marshall, A., Martynenko, O., Monteagudo Mendoza, A., Ontikov, P., Ortiz-Malavasi, E., Pallqui Camacho, N., Paquette, A., Park, M., Parthasarathy, N., Peri, P., Petronelli, P., Pfautsch, S., Phillips, O., Picard, N., Piotto, D., Poorter, L., Poulsen, J., Pretzsch, H., Ramírez-Angulo, H., Restrepo Correa, Z., Rodeghiero, M., Rojas Gonzáles, R., Rolim, S., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Shchepashchenko, D., Scherer-Lorenzen, M., Šebeň, V., Silveira, M., Slik, F., Sonké, B., Souza, A., Stereńczak, K., Svoboda, M., Taedoumg, H., Tchebakova, N., Terborgh, J., Tikhonova, E., Torres-Lezama, A., van der Plas, F., Vásquez, R., Viana, H., Vibrans, A., Vilanova, E., Vos, V., Wang, H.-F., Westerlund, B., White, L., Wiser, S., Zawiła-Niedźwiecki, T., Zemagho, L., Zhu, Z., Zo-Bi, I., and Liang, J.
Abstract: One of the most fundamental questions in ecology is how many species inhabit the Earth. However, due to massive logistical and financial challenges and taxonomic difficulties connected to the species concept definition, the global numbers of species, including those of important and well-studied life forms such as trees, still remain largely unknown. Here, based on global ground-sourced data, we estimate the total tree species richness at global, continental, and biome levels. Our results indicate that there are ∼73,000 tree species globally, among which ∼9,000 tree species are yet to be discovered. Roughly 40% of undiscovered tree species are in South America. Moreover, almost one-third of all tree species to be discovered may be rare, with very low populations and limited spatial distribution (likely in remote tropical lowlands and mountains). These findings highlight the vulnerability of global forest biodiversity to anthropogenic changes in land use and climate, which disproportionately threaten rare species and thus, global tree richness.
Published: 2022

8. Areas of global importance for conserving terrestrial biodiversity, carbon and water

Author: Jung, M., Arnell, A., de Lamo, X., García-Rangel, S., Lewis, M., Mark, J., Merow, C., Miles, L., Ondo, I., Pironon, S., Ravilious, C., Rivers, M., Shchepashchenko, D., Tallowin, O., van Soesbergen, A., Govaerts, R., Boyle, B.L., Enquist, B.J., Feng, X., Gallagher, R., Maitner, B., Meiri, S., Mulligan, M., Ofer, G., Roll, U., Hanson, J.O., Jetz, W., Di Marco, M., McGowan, J., Rinnan, D.S., Sachs, J.D., Lesiv, M., Adams, V.M., Andrew, S.C., Burger, J.R., Hannah, L., Marquet, P.A., McCarthy, J.K., Morueta-Holme, N., Newman, E.A., Park, D.S., Roehrdanz, P.R., Svenning, J.-C., Violle, C., Wieringa, J.J., Wynne, G., Fritz, S., Strassburg, B.B. ., Obersteiner, M., Kapos, V., Burgess, N., Schmidt-Traub, G., Visconti, P., Jung, M., Arnell, A., de Lamo, X., García-Rangel, S., Lewis, M., Mark, J., Merow, C., Miles, L., Ondo, I., Pironon, S., Ravilious, C., Rivers, M., Shchepashchenko, D., Tallowin, O., van Soesbergen, A., Govaerts, R., Boyle, B.L., Enquist, B.J., Feng, X., Gallagher, R., Maitner, B., Meiri, S., Mulligan, M., Ofer, G., Roll, U., Hanson, J.O., Jetz, W., Di Marco, M., McGowan, J., Rinnan, D.S., Sachs, J.D., Lesiv, M., Adams, V.M., Andrew, S.C., Burger, J.R., Hannah, L., Marquet, P.A., McCarthy, J.K., Morueta-Holme, N., Newman, E.A., Park, D.S., Roehrdanz, P.R., Svenning, J.-C., Violle, C., Wieringa, J.J., Wynne, G., Fritz, S., Strassburg, B.B. ., Obersteiner, M., Kapos, V., Burgess, N., Schmidt-Traub, G., and Visconti, P.
Abstract: To meet the ambitious objectives of biodiversity and climate conventions, the international community requires clarity on how these objectives can be operationalized spatially and how multiple targets can be pursued concurrently. To support goal setting and the implementation of international strategies and action plans, spatial guidance is needed to identify which land areas have the potential to generate the greatest synergies between conserving biodiversity and nature’s contributions to people. Here we present results from a joint optimization that minimizes the number of threatened species, maximizes carbon retention and water quality regulation, and ranks terrestrial conservation priorities globally. We found that selecting the top-ranked 30% and 50% of terrestrial land area would conserve respectively 60.7% and 85.3% of the estimated total carbon stock and 66% and 89.8% of all clean water, in addition to meeting conservation targets for 57.9% and 79% of all species considered. Our data and prioritization further suggest that adequately conserving all species considered (vertebrates and plants) would require giving conservation attention to ~70% of the terrestrial land surface. If priority was given to biodiversity only, managing 30% of optimally located land area for conservation may be sufficient to meet conservation targets for 81.3% of the terrestrial plant and vertebrate species considered. Our results provide a global assessment of where land could be optimally managed for conservation. We discuss how such a spatial prioritization framework can support the implementation of the biodiversity and climate conventions.
Published: 2021

9. NatureMap Priority maps to Areas of global importance for conserving terrestrial biodiversity, carbon, and water

Author: Jung, M., Arnell, A., de Lamo, X., Garcia-Rangel, S., Lewis, M., Mark, J., Merow, C., Miles, L., Ondo, I., Pironon, S., Ravilious, C., Rivers, M., Shchepashchenko, D., Tallowin, O., van Soesbergen, A., Govaerts, R., Boyle, B., Enquist, B., Feng, X., Gallagher, R., Maitner, B., Meiri, S., Mulligan, M., Ofer, G., Roll, U., Hanson, J., Jetz, W., Marco, M., McGowan, J., Rinnan, D., Sachs, J., Lesiv, M., Adams, V., Andrew, S., Burger, J., Hannah, L., Marquet, P., McCarthy, J., Morueta-Holme, N., Newman, E., Park, D., Roehrdanz, P., Svenning, J.-C., Violle, C., Wieringa, I., Wynne, G., Fritz, S., Strassburg, B., Obersteiner, M., Kapos, V., Burgess, N., Schmidt-Traub, G., Visconti, P., Jung, M., Arnell, A., de Lamo, X., Garcia-Rangel, S., Lewis, M., Mark, J., Merow, C., Miles, L., Ondo, I., Pironon, S., Ravilious, C., Rivers, M., Shchepashchenko, D., Tallowin, O., van Soesbergen, A., Govaerts, R., Boyle, B., Enquist, B., Feng, X., Gallagher, R., Maitner, B., Meiri, S., Mulligan, M., Ofer, G., Roll, U., Hanson, J., Jetz, W., Marco, M., McGowan, J., Rinnan, D., Sachs, J., Lesiv, M., Adams, V., Andrew, S., Burger, J., Hannah, L., Marquet, P., McCarthy, J., Morueta-Holme, N., Newman, E., Park, D., Roehrdanz, P., Svenning, J.-C., Violle, C., Wieringa, I., Wynne, G., Fritz, S., Strassburg, B., Obersteiner, M., Kapos, V., Burgess, N., Schmidt-Traub, G., and Visconti, P.
Abstract: This data repository contains the results of the NatureMap ( naturemap.earth/) conservation prioritization effort. The maps were created by jointly optimizing biodiversity and NCPs such as carbon and/or water. Maps are supplied at both 10km and 50km resolution and all maps that aim to find priority areas for all species considered in the analysis, utilize a series of representative sets. The ranks for each layer are area-specific and can be used to extract summary statistics by simple subsetting. For example, to obtain the top 30% of land area for biodiversity and carbon, one needs to create a mask of all areas lower than a value of 30 from the respective ranked layers. For convenience two files are supplied that contain the fraction of land area per grid cell times 1000. Multiplying those with the cell area (100km2, respectively 2500km2) gives the exact amount of land area in a given grid cell. These are labelled "globalgrid_mollweide_**km.tif " can be used to create masks for the priority maps. The geographic projection is World Mollweide Equal Area projection.
Published: 2021

10. Body size and sexual size dimorphism in primates: influence of climate and net primary productivity

Author: Dunham, A. E., Maitner, B. S., Razafindratsima, O. H., Simmons, M. C., and Roy, C. L.
Published: 2013
Full Text: View/download PDF

11. Areas of global importance for terrestrial biodiversity, carbon, and water

Author: Jung, M., Arnell, A., de Lamo, X., García-Rangel, S., Lewis, M., Mark, J., Merow, C., Miles, L., Ondo, I., Pironon, S., Ravilious, C., Rivers, M., Shchepashchenko, D., Tallowin, O., van Soesbergen, A., Govaerts, R., Boyle, B.L., Enquist, B.J., Feng, X., Gallagher, R.V., Maitner, B., Meiri, S., Mulligan, M., Ofer, G., Hanson, J.O., Jetz, W., Di Marco, M., McGowan, J., Rinnan, D., Sachs, J.D., Lesiv, M., Adams, V., Andrew, S.C., Burger, J.R., Hannah, L., Marquet, P.A., McCarthy, J.K., Morueta-Holme, N., Newman, E.A., Park, D.S., Roehrdanz, P.R., Svenning, J.-C., Violle, C., Wieringa, J.J., Wynne, G., Fritz, S., Strassburg, B.B.N., Obersteiner, M., Kapos, V., Burgess, N., Schmidt-Traub, G., Visconti, P., Jung, M., Arnell, A., de Lamo, X., García-Rangel, S., Lewis, M., Mark, J., Merow, C., Miles, L., Ondo, I., Pironon, S., Ravilious, C., Rivers, M., Shchepashchenko, D., Tallowin, O., van Soesbergen, A., Govaerts, R., Boyle, B.L., Enquist, B.J., Feng, X., Gallagher, R.V., Maitner, B., Meiri, S., Mulligan, M., Ofer, G., Hanson, J.O., Jetz, W., Di Marco, M., McGowan, J., Rinnan, D., Sachs, J.D., Lesiv, M., Adams, V., Andrew, S.C., Burger, J.R., Hannah, L., Marquet, P.A., McCarthy, J.K., Morueta-Holme, N., Newman, E.A., Park, D.S., Roehrdanz, P.R., Svenning, J.-C., Violle, C., Wieringa, J.J., Wynne, G., Fritz, S., Strassburg, B.B.N., Obersteiner, M., Kapos, V., Burgess, N., Schmidt-Traub, G., and Visconti, P.
Abstract: To meet the ambitious objectives of biodiversity and climate conventions, countries and the international community require clarity on how these objectives can be operationalized spatially, and multiple targets be pursued concurrently1. To support governments and political conventions, spatial guidance is needed to identify which areas should be managed for conservation to generate the greatest synergies between biodiversity and nature’s contribution to people (NCP). Here we present results from a joint optimization that maximizes improvements in species conservation status, carbon retention and water provisioning and rank terrestrial conservation priorities globally. We found that, selecting the top-ranked 30% (respectively 50%) of areas would conserve 62.4% (86.8%) of the estimated total carbon stock and 67.8% (90.7%) of all clean water provisioning, in addition to improving the conservation status for 69.7% (83.8%) of all species considered. If priority was given to biodiversity only, managing 30% of optimally located land area for conservation may be sufficient to improve the conservation status of 86.3% of plant and vertebrate species on Earth. Our results provide a global baseline on where land could be managed for conservation. We discuss how such a spatial prioritisation framework can support the implementation of the biodiversity and climate conventions.
Published: 2020

12. Author Correction: Climatic controls of decomposition drive the global biogeography of forest-tree symbioses

Author: Steidinger, B., Crowther, T., Liang, J., Van Nuland, M., Werner, G., Reich, P., Nabuurs, G., de-Miguel, S., Zhou, M., Picard, N., Herault, B., Zhao, X., Zhang, C., Routh, D., Peay, K., Abegg, M., Adou~Yao, C., Alberti, G., Almeyda~Zambrano, A., Alvarez-Davila, E., Alvarez-Loayza, P., Alves, L., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Ba?azy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla~Gatti, R., Cesar, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Condit, R., Coomes, D., Cornejo~Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Fridman, J., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Herbohn, J., Herold, M., Hillers, A., Honorio Coronado, E., Huber, M., Hui, C., Cho, H., Ibanez, T., Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., K{ö}hl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo-Cruz, O., Mendoza, C., Merow, C., Monteagudo~Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez~Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Saner, P., Schall, P., Schelhaas, M., Schepaschenko, D., Scherer-Lorenzen, M., Schmid, B., Sch{ö}ngart, J., Searle, E., Seben, V., Serra-Diaz, J., Salas-Eljatib, C., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stere?czak, K., Svenning, J., Svoboda, M., Targhetta, N., Tchebakova, N., Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valladares, F., van der Plas, F., Van Do, T., Vasquez~Martinez, R., Verbeeck, H., Viana, H., Vieira, S., von Gadow, K., Wang, H., Watson, J., Westerlund, B., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila-Niedzwiecki, T., Zhu, Z., Zo-Bi, I., and Systems Ecology
Subjects: 0301 basic medicine, Biogeography, Bos- en Landschapsecologie, 02 engineering and technology, Forest and Nature Conservation Policy, 03 medical and health sciences, Laboratorium voor Plantenveredeling, Laboratory of Geo-information Science and Remote Sensing, Decomposition (computer science), Bos- en Natuurbeleid, Life Science, Forest and Landscape Ecology, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, Vegetatie, Vegetation, Multidisciplinary, Ecology, Published Erratum, 021001 nanoscience & nanotechnology, PE&RC, Forest Ecology and Forest Management, Tree (data structure), Plant Breeding, 030104 developmental biology, Geography, Biometris, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, 0210 nano-technology, Citation
Abstract: In this Letter, the middle initial of author G. J. Nabuurs was omitted, and he should have been associated with an additional affiliation: ‘Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, The Netherlands’ (now added as affiliation 182). In addition, the following two statements have been added to the Supplementary Acknowledgements. (1): ‘We would particularly like to thank The French NFI for the work of the many field teams and engineers, who have made extraordinary efforts to make forest inventory data publicly available.’ (1): ‘Sergio de Miguel benefited from a Serra- Húnter Fellowship provided by the Generalitat of Catalonia.’ Finally, the second sentence of the Methods section should have cited the French NFI, which provided a national forestry database used in our analysis, to read as follows: ‘The GFBi database consists of individual-based data that we compiled from all the regional and national GFBi forest-inventory datasets, including the French NFI (IGN—French National Forest Inventory, raw data, annual campaigns 2005 and following, https://inventaire-forestier.ign.fr/spip.php?rubrique159, site accessed on 01 January 2015)’. All of these errors have been corrected online.
Published: 2019

13. Climatic controls of decomposition drive the global biogeography of forest-tree symbioses

Author: Steidinger, B. S., Crowther, T. W., Liang, J., Van Nuland, M. E., Werner, G. D. A., Reich, P. B., Nabuurs, G., de-Miguel, S., Zhou, M., Picard, N., Herault, B., Karminov, V., Sist, P., Targhetta, N., Tchebakova, N., Steege, H., Johannsen, V., Iêda, A., Alvarez-Loayza, P., Thomas, R., Bastin, J. -F., Ibanez, T., Tikhonova, E., Umunay, P., Dayanandan, S., Imai, N., Derroire, G., Usoltsev, V. A., Valladares, F., van der Plas, F., Dourdain, A., Van Do, T., Abegg, M., Enquist, B., Vasquez Martinez, R., Verbeeck, H., Joly, C. A., Viana, H., Alves, L. F., Jagodzinski, A. M., Vieira, S., Ngugi, M., de Gasper, A. L., Keppel, G., Obiang, N. L. E., Neldner, V., von Gadow, K., Wang, H. -F., Watson, J., Westerlund, B., Wiser, S., Wittmann, F., Wortel, V., Khan, M. L., Kraxner, F., Jucker, T., Zagt, R., Birigazzi, L., Ortiz-Malavasi, E., Baker, T., Birnbaum, P., Bitariho, R., Kartawinata, K., Niklaus, P., Kennard, D., Laarmann, D., Boeckx, P., Bongers, F., Bouriaud, O., Kim, H. S., Silveira, M., Köhl, M., Brancalion, P. H. S., Brandl, S., Brearley, F. Q., Brienen, R., Lang, M., Broadbent, E., Bruelheide, H., Oleksyn, J., Bussotti, F., Searle, E., Nevenic, R., Kearsley, E., Schmid, B., Kitayama, K., Cazzolla Gatti, R., Zhang, C., Cesar, R., Cesljar, G., Chazdon, R., Chen, H. Y. H., Chisholm, C., Cienciala, E., Park, M., Ontikov, P., Clark, C. J., Eyre, T., Sonké, B., Clark, D., Sheil, D., DeVries, B., Fandohan, A. B., Fayle, T. M., Feldpausch, T. R., Seben, V., Parren, M., Kepfer-Rojas, S., Finér, L., Lewis, S., Fischer, M., Fletcher, C., Pan, Y., Almeyda Zambrano, A., Parada-Gutierrez, A., Fridman, J., Frizzera, L., Gamarra, J. G. P., Parthasarathy, N., Gianelle, D., Pfautsch, S., Glick, H. B., Harris, D., Serra-Diaz, J. M., Hector, A., Zhao, X., Schöngart, J., Hemp, A., Zhu, Z. -X., Paquette, A., Peri, P. L., Zawila-Niedzwiecki, T., Hengeveld, G., Herbohn, J., Herold, M., Hillers, A., Honorio, Coronado, E. N., Huber, M., Hui, C., Slik, F., Salas-Eljatib, C., Cho, H., Lu, H., Araujo-Murakami, A., Korjus, H., Lukina, N., Maitner, B., Shvidenko, A., Zo-Bi, I. C., Singh, J., Malhi, Y., Marcon, E., Marimon, B. S., Souza, A. F., Decuyper, M., Svenning, J. -C., Marimon-Junior, B. H., Marshall, A. R., Martin, E., Routh, D., Martynenko, O., Meave, J. A., Melo-Cruz, O., Coomes, D., Silva-Espejo, J., Ammer, C., Colletta, G., Stereńczak, K., Mendoza, C., Merow, C., Monteagudo Mendoza, A., Moreno, V., Mukul, S. A., Mundhenk, P., Nava-Miranda, M. G., Antón-Fernández, C., Bałazy, R., Peay, K. G., Phillips, O., Neill, D., Cumming, J., Parfenova, E., Piedade, M. T., Piotto, D., Adou Yao, C. Y., Cornejo Valverde, F., Alvarez-Davila, E., Banki, O., Pitman, N. C. A., Polo, I., Poorter, L., Arroyo, L., Kenfack, D., Aymard, G., Poulsen, A. D., Poulsen, J. R., Pretzsch, H., Ramirez Arevalo, F., Barroso, J., Restrepo-Correa, Z., Rodeghiero, M., Corral-Rivas, J. J., Rolim, S., Jaroszewicz, B., Condit, R., Alberti, G., Jung, I., Avitabile, V., Roopsind, A., Bastian, M., Rovero, F., Rutishauser, E., Saikia, P., Saner, P., Schall, P., Schelhaas, M. -J., Djordjevic, I., Crim, P., Schepaschenko, D., Svoboda, M., Killeen, T., Scherer-Lorenzen, M., Steidinger, B. S., Crowther, T. W., Liang, J., Van Nuland, M. E., Werner, G. D. A., Reich, P. B., Nabuurs, G., de-Miguel, S., Zhou, M., Picard, N., Herault, B., Karminov, V., Sist, P., Targhetta, N., Tchebakova, N., Steege, H., Johannsen, V., Iêda, A., Alvarez-Loayza, P., Thomas, R., Bastin, J. -F., Ibanez, T., Tikhonova, E., Umunay, P., Dayanandan, S., Imai, N., Derroire, G., Usoltsev, V. A., Valladares, F., van der Plas, F., Dourdain, A., Van Do, T., Abegg, M., Enquist, B., Vasquez Martinez, R., Verbeeck, H., Joly, C. A., Viana, H., Alves, L. F., Jagodzinski, A. M., Vieira, S., Ngugi, M., de Gasper, A. L., Keppel, G., Obiang, N. L. E., Neldner, V., von Gadow, K., Wang, H. -F., Watson, J., Westerlund, B., Wiser, S., Wittmann, F., Wortel, V., Khan, M. L., Kraxner, F., Jucker, T., Zagt, R., Birigazzi, L., Ortiz-Malavasi, E., Baker, T., Birnbaum, P., Bitariho, R., Kartawinata, K., Niklaus, P., Kennard, D., Laarmann, D., Boeckx, P., Bongers, F., Bouriaud, O., Kim, H. S., Silveira, M., Köhl, M., Brancalion, P. H. S., Brandl, S., Brearley, F. Q., Brienen, R., Lang, M., Broadbent, E., Bruelheide, H., Oleksyn, J., Bussotti, F., Searle, E., Nevenic, R., Kearsley, E., Schmid, B., Kitayama, K., Cazzolla Gatti, R., Zhang, C., Cesar, R., Cesljar, G., Chazdon, R., Chen, H. Y. H., Chisholm, C., Cienciala, E., Park, M., Ontikov, P., Clark, C. J., Eyre, T., Sonké, B., Clark, D., Sheil, D., DeVries, B., Fandohan, A. B., Fayle, T. M., Feldpausch, T. R., Seben, V., Parren, M., Kepfer-Rojas, S., Finér, L., Lewis, S., Fischer, M., Fletcher, C., Pan, Y., Almeyda Zambrano, A., Parada-Gutierrez, A., Fridman, J., Frizzera, L., Gamarra, J. G. P., Parthasarathy, N., Gianelle, D., Pfautsch, S., Glick, H. B., Harris, D., Serra-Diaz, J. M., Hector, A., Zhao, X., Schöngart, J., Hemp, A., Zhu, Z. -X., Paquette, A., Peri, P. L., Zawila-Niedzwiecki, T., Hengeveld, G., Herbohn, J., Herold, M., Hillers, A., Honorio, Coronado, E. N., Huber, M., Hui, C., Slik, F., Salas-Eljatib, C., Cho, H., Lu, H., Araujo-Murakami, A., Korjus, H., Lukina, N., Maitner, B., Shvidenko, A., Zo-Bi, I. C., Singh, J., Malhi, Y., Marcon, E., Marimon, B. S., Souza, A. F., Decuyper, M., Svenning, J. -C., Marimon-Junior, B. H., Marshall, A. R., Martin, E., Routh, D., Martynenko, O., Meave, J. A., Melo-Cruz, O., Coomes, D., Silva-Espejo, J., Ammer, C., Colletta, G., Stereńczak, K., Mendoza, C., Merow, C., Monteagudo Mendoza, A., Moreno, V., Mukul, S. A., Mundhenk, P., Nava-Miranda, M. G., Antón-Fernández, C., Bałazy, R., Peay, K. G., Phillips, O., Neill, D., Cumming, J., Parfenova, E., Piedade, M. T., Piotto, D., Adou Yao, C. Y., Cornejo Valverde, F., Alvarez-Davila, E., Banki, O., Pitman, N. C. A., Polo, I., Poorter, L., Arroyo, L., Kenfack, D., Aymard, G., Poulsen, A. D., Poulsen, J. R., Pretzsch, H., Ramirez Arevalo, F., Barroso, J., Restrepo-Correa, Z., Rodeghiero, M., Corral-Rivas, J. J., Rolim, S., Jaroszewicz, B., Condit, R., Alberti, G., Jung, I., Avitabile, V., Roopsind, A., Bastian, M., Rovero, F., Rutishauser, E., Saikia, P., Saner, P., Schall, P., Schelhaas, M. -J., Djordjevic, I., Crim, P., Schepaschenko, D., Svoboda, M., Killeen, T., and Scherer-Lorenzen, M.
Abstract: The identity of the dominant root-associated microbial symbionts in a forest determines the ability of trees to access limiting nutrients from atmospheric or soil pools 1,2 , sequester carbon 3,4 and withstand the effects of climate change 5,6 . Characterizing the global distribution of these symbioses and identifying the factors that control this distribution are thus integral to understanding the present and future functioning of forest ecosystems. Here we generate a spatially explicit global map of the symbiotic status of forests, using a database of over 1.1 million forest inventory plots that collectively contain over 28,000 tree species. Our analyses indicate that climate variables—in particular, climatically controlled variation in the rate of decomposition—are the primary drivers of the global distribution of major symbioses. We estimate that ectomycorrhizal trees, which represent only 2% of all plant species 7 , constitute approximately 60% of tree stems on Earth. Ectomycorrhizal symbiosis dominates forests in which seasonally cold and dry climates inhibit decomposition, and is the predominant form of symbiosis at high latitudes and elevation. By contrast, arbuscular mycorrhizal trees dominate in aseasonal, warm tropical forests, and occur with ectomycorrhizal trees in temperate biomes in which seasonally warm-and-wet climates enhance decomposition. Continental transitions between forests dominated by ectomycorrhizal or arbuscular mycorrhizal trees occur relatively abruptly along climate-driven decomposition gradients; these transitions are probably caused by positive feedback effects between plants and microorganisms. Symbiotic nitrogen fixers—which are insensitive to climatic controls on decomposition (compared with mycorrhizal fungi)—are most abundant in arid biomes with alkaline soils and high maximum temperatures. The climatically driven global symbiosis gradient that we document provides a spatially explicit quantitative understanding of microbial sym, 33Smithsonian’s National Zoo and Conservation Biology Institute, Washington, DC, USA. 34Institute of Tropical Forest Conservation, Mbarara University of Sciences and Technology, Mbarara, Uganda. 35Isotope Bioscience Laboratory - ISOFYS, Ghent University, Ghent, Belgium. 36Integrated Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control (MANSiD), Stefan cel Mare University of Suceava, Suceava, Romania. 37Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil. 38Bavarian State Institute of Forestry, Freising, Germany. 39Manchester Metropolitan University, Manchester, UK. 40Institute of Biology, Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle-Wittenberg, Germany. 41German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany. 42Department of Agriculture, Food, Environment and Forest (DAGRI), University of Firenze, Florence, Italy. 43Biological Institute, Tomsk State University, Tomsk, Russia. 44Department of Spatial Regulation, GIS and Forest Policy, Institute of Forestry, Belgrade, Serbia. 45Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA. 46Tropical Forests and People Research Centre, University of the Sunshine Coast, Maroochydore, Queensland, Australia. 47Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada. 48Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou, China. 49Institute of Integrative Biology, ETH Zürich, Zurich, Switzerland. 50IFER - Institute of Forest Ecosystem Research, Jilove u Prahy, Czech Republic. 51Global Change Research Institute CAS, Brno, Czech Republic. 52Nicholas School of the Environment, Duke University, Durham, NC, USA. 53Department of Biology, University of Missouri-St Loui
Published: 2019

14. Code sharing in ecology and evolution increases citation rates but remains uncommon.

Author: Maitner B, Santos Andrade PE, Lei L, Kass J, Owens HL, Barbosa GCG, Boyle B, Castorena M, Enquist BJ, Feng X, Park DS, Paz A, Pinilla-Buitrago G, Merow C, and Wilson A
Abstract: Biologists increasingly rely on computer code to collect and analyze their data, reinforcing the importance of published code for transparency, reproducibility, training, and a basis for further work. Here, we conduct a literature review estimating temporal trends in code sharing in ecology and evolution publications since 2010, and test for an influence of code sharing on citation rate. We find that code is rarely published (only 6% of papers), with little improvement over time. We also found there may be incentives to publish code: Publications that share code have tended to be low-impact initially, but accumulate citations faster, compensating for this deficit. Studies that additionally meet other Open Science criteria, open-access publication, or data sharing, have still higher citation rates, with publications meeting all three criteria (code sharing, data sharing, and open access publication) tending to have the most citations and highest rate of citation accumulation., Competing Interests: The authors declare no competing interests., (© 2024 The Author(s). Ecology and Evolution published by John Wiley & Sons Ltd.)
Published: 2024
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15. ZooTraits: An R shiny app for exploring animal trait data for ecological and evolutionary research.

Author: Gonçalves-Souza T, Milz B, Sanders NJ, Reich PB, Maitner B, Chaves LS, Boldorini GX, Ferreira N, Gusmão RAF, Perônico PB, Teresa FB, and Umaña MN
Abstract: Animal trait data are scattered across several datasets, making it challenging to compile and compare trait information across different groups. For plants, the TRY database has been an unwavering success for those ecologists interested in addressing how plant traits influence a wide variety of processes and patterns, but the same is not true for most animal taxonomic groups. Here, we introduce ZooTraits, a Shiny app designed to help users explore and obtain animal trait data for research in ecology and evolution. ZooTraits was developed to tackle the challenge of finding in a single site information of multiple trait datasets and facilitating access to traits by providing an easy-to-use, open-source platform. This app combines datasets centralized in the Open Trait Network, raw data from the AnimalTraits database, and trait information for animals compiled by Gonçalves-Souza et al. (2023, Ecology and Evolution 13, e10016). Importantly, the ZooTraits app can be accessed freely and provides a user-friendly interface through three functionalities that will allow users to easily visualize, compare, download, and upload trait data across the animal tree of life- ExploreTrait , FeedTrait , and GetTrait . By using ExploreTrait and GetTrait , users can explore, compare, and extract 3954 trait records from 23,394 species centralized in the Open Traits Network, and trait data for ~2000 species from the AnimalTraits database. The app summarizes trait information for numerous taxonomic groups within the Animal Kingdom, encompassing data from diverse aquatic and terrestrial ecosystems and various geographic regions worldwide. Moreover, ZooTraits enables researchers to upload trait information, serving as a hub for a continually expanding global trait database. By promoting the centralization of trait datasets and offering a platform for data sharing, ZooTraits is facilitating advancements in trait-based ecological and evolutionary studies. We hope that other trait databases will evolve to mirror the approach we have outlined here., (© 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)
Published: 2024
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16. More than 17,000 tree species are at risk from rapid global change.

Author: Boonman CCF, Serra-Diaz JM, Hoeks S, Guo WY, Enquist BJ, Maitner B, Malhi Y, Merow C, Buitenwerf R, and Svenning JC
Subjects: Biodiversity, Conservation of Natural Resources, Extinction, Biological, Endangered Species, Trees
Abstract: Trees are pivotal to global biodiversity and nature's contributions to people, yet accelerating global changes threaten global tree diversity, making accurate species extinction risk assessments necessary. To identify species that require expert-based re-evaluation, we assess exposure to change in six anthropogenic threats over the last two decades for 32,090 tree species. We estimated that over half (54.2%) of the assessed species have been exposed to increasing threats. Only 8.7% of these species are considered threatened by the IUCN Red List, whereas they include more than half of the Data Deficient species (57.8%). These findings suggest a substantial underestimation of threats and associated extinction risk for tree species in current assessments. We also map hotspots of tree species exposed to rapidly changing threats around the world. Our data-driven approach can strengthen the efforts going into expert-based IUCN Red List assessments by facilitating prioritization among species for re-evaluation, allowing for more efficient conservation efforts., (© 2024. The Author(s).)
Published: 2024
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17. A global assessment of the Raunkiaeran shortfall in plants: geographic biases in our knowledge of plant traits.

Author: Maitner B, Gallagher R, Svenning JC, Tietje M, Wenk EH, and Eiserhardt WL
Subjects: Phenotype, Bias, Plants, Ecosystem
Published: 2023
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18. Links to rare climates do not translate into distinct traits for island endemics.

Author: Cutts V, Hanz DM, Barajas-Barbosa MP, Schrodt F, Steinbauer MJ, Beierkuhnlein C, Denelle P, Fernández-Palacios JM, Gaüzère P, Grenié M, Irl SDH, Kraft N, Kreft H, Maitner B, Munoz F, Thuiller W, Violle C, Weigelt P, Field R, and Algar AC
Subjects: Phenotype, Plant Leaves, Spain, Islands, Plants, Climate
Abstract: Current models of island biogeography treat endemic and non-endemic species as if they were functionally equivalent, focussing primarily on species richness. Thus, the functional composition of island biotas in relation to island biogeographical variables remains largely unknown. Using plant trait data (plant height, leaf area and flower length) for 895 native species in the Canary Islands, we related functional trait distinctiveness and climate rarity for endemic and non-endemic species and island ages. Endemics showed a link to climatically rare conditions that is consistent with island geological change through time. However, functional trait distinctiveness did not differ between endemics and non-endemics and remained constant with island age. Thus, there is no obvious link between trait distinctiveness and occupancy of rare climates, at least for the traits measured here, suggesting that treating endemic and non-endemic species as functionally equivalent in island biogeography is not fundamentally wrong., (© 2023 The Authors. Ecology Letters published by John Wiley & Sons Ltd.)
Published: 2023
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19. Elevated extinction risk of cacti under climate change.

Author: Pillet M, Goettsch B, Merow C, Maitner B, Feng X, Roehrdanz PR, and Enquist BJ
Subjects: Conservation of Natural Resources, Droughts, Ecosystem, Cactaceae physiology, Climate Change
Abstract: Cactaceae (cacti), a New World plant family, is one of the most endangered groups of organisms on the planet. Conservation planning is uncertain as it is unclear whether climate and land-use change will positively or negatively impact global cactus diversity. On the one hand, a common perception is that future climates will be favourable to cacti as they have multiple adaptations and specialized physiologies and morphologies for increased heat and drought. On the other hand, the wide diversity of the more than 1,500 cactus species, many of which occur in more mesic and cooler ecosystems, questions the view that most cacti can tolerate warmer and drought conditions. Here we assess the hypothesis that cacti will benefit and expand in potential distribution in a warmer and more drought-prone world. We quantified exposure to climate change through range forecasts and associated diversity maps for 408 cactus species under three Representative Concentration Pathways (2.6, 4.5 and 8.5) for 2050 and 2070. Our analyses show that 60% of species will experience a reduction in favourable climate, with about a quarter of species exposed to environmental conditions outside of the current realized niche in over 25% of their current distribution. These results show low sensitivity to many uncertainties in forecasting, mostly deriving from dispersal ability and model complexity rather than climate scenarios. While current range size and the International Union for Conservation of Nature's Red List category were not statistically significant predictors of predicted future changes in suitable climate area, epiphytes had the greatest exposure to novel climates. Overall, the number of cactus species at risk is projected to increase sharply in the future, especially in current richness hotspots. Land-use change has previously been identified as the second-most-common driver of threat among cacti, affecting many of the ~31% of cacti that are currently threatened. Our results suggest that climate change will become a primary driver of cactus extinction risk with 60-90% of species assessed negatively impacted by climate change and/or other anthropogenic processes, depending on how these threat processes are distributed across cactus species., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2022
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20. Areas of global importance for conserving terrestrial biodiversity, carbon and water.

Author: Jung M, Arnell A, de Lamo X, García-Rangel S, Lewis M, Mark J, Merow C, Miles L, Ondo I, Pironon S, Ravilious C, Rivers M, Schepaschenko D, Tallowin O, van Soesbergen A, Govaerts R, Boyle BL, Enquist BJ, Feng X, Gallagher R, Maitner B, Meiri S, Mulligan M, Ofer G, Roll U, Hanson JO, Jetz W, Di Marco M, McGowan J, Rinnan DS, Sachs JD, Lesiv M, Adams VM, Andrew SC, Burger JR, Hannah L, Marquet PA, McCarthy JK, Morueta-Holme N, Newman EA, Park DS, Roehrdanz PR, Svenning JC, Violle C, Wieringa JJ, Wynne G, Fritz S, Strassburg BBN, Obersteiner M, Kapos V, Burgess N, Schmidt-Traub G, and Visconti P
Subjects: Animals, Biodiversity, Endangered Species, Humans, Vertebrates, Carbon, Conservation of Natural Resources
Abstract: To meet the ambitious objectives of biodiversity and climate conventions, the international community requires clarity on how these objectives can be operationalized spatially and how multiple targets can be pursued concurrently. To support goal setting and the implementation of international strategies and action plans, spatial guidance is needed to identify which land areas have the potential to generate the greatest synergies between conserving biodiversity and nature's contributions to people. Here we present results from a joint optimization that minimizes the number of threatened species, maximizes carbon retention and water quality regulation, and ranks terrestrial conservation priorities globally. We found that selecting the top-ranked 30% and 50% of terrestrial land area would conserve respectively 60.7% and 85.3% of the estimated total carbon stock and 66% and 89.8% of all clean water, in addition to meeting conservation targets for 57.9% and 79% of all species considered. Our data and prioritization further suggest that adequately conserving all species considered (vertebrates and plants) would require giving conservation attention to ~70% of the terrestrial land surface. If priority was given to biodiversity only, managing 30% of optimally located land area for conservation may be sufficient to meet conservation targets for 81.3% of the terrestrial plant and vertebrate species considered. Our results provide a global assessment of where land could be optimally managed for conservation. We discuss how such a spatial prioritization framework can support the implementation of the biodiversity and climate conventions., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2021
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21. Author Correction: Areas of global importance for conserving terrestrial biodiversity, carbon and water.

Author: Jung M, Arnell A, de Lamo X, García-Rangel S, Lewis M, Mark J, Merow C, Miles L, Ondo I, Pironon S, Ravilious C, Rivers M, Schepaschenko D, Tallowin O, van Soesbergen A, Govaerts R, Boyle BL, Enquist BJ, Feng X, Gallagher R, Maitner B, Meiri S, Mulligan M, Ofer G, Roll U, Hanson JO, Jetz W, Di Marco M, McGowan J, Rinnan DS, Sachs JD, Lesiv M, Adams VM, Andrew SC, Burger JR, Hannah L, Marquet PA, McCarthy JK, Morueta-Holme N, Newman EA, Park DS, Roehrdanz PR, Svenning JC, Violle C, Wieringa JJ, Wynne G, Fritz S, Strassburg BBN, Obersteiner M, Kapos V, Burgess N, Schmidt-Traub G, and Visconti P
Published: 2021
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22. How deregulation, drought and increasing fire impact Amazonian biodiversity.

Author: Feng X, Merow C, Liu Z, Park DS, Roehrdanz PR, Maitner B, Newman EA, Boyle BL, Lien A, Burger JR, Pires MM, Brando PM, Bush MB, McMichael CNH, Neves DM, Nikolopoulos EI, Saleska SR, Hannah L, Breshears DD, Evans TP, Soto JR, Ernst KC, and Enquist BJ
Subjects: Animals, Brazil, Climate Change statistics & numerical data, Forests, Geographic Mapping, Plants, Trees physiology, Vertebrates, Biodiversity, Conservation of Natural Resources legislation & jurisprudence, Droughts, Forestry legislation & jurisprudence, Rainforest, Wildfires statistics & numerical data
Abstract: Biodiversity contributes to the ecological and climatic stability of the Amazon Basin 1,2 , but is increasingly threatened by deforestation and fire 3,4 . Here we quantify these impacts over the past two decades using remote-sensing estimates of fire and deforestation and comprehensive range estimates of 11,514 plant species and 3,079 vertebrate species in the Amazon. Deforestation has led to large amounts of habitat loss, and fires further exacerbate this already substantial impact on Amazonian biodiversity. Since 2001, 103,079-189,755 km 2 of Amazon rainforest has been impacted by fires, potentially impacting the ranges of 77.3-85.2% of species that are listed as threatened in this region 5 . The impacts of fire on the ranges of species in Amazonia could be as high as 64%, and greater impacts are typically associated with species that have restricted ranges. We find close associations between forest policy, fire-impacted forest area and their potential impacts on biodiversity. In Brazil, forest policies that were initiated in the mid-2000s corresponded to reduced rates of burning. However, relaxed enforcement of these policies in 2019 has seemingly begun to reverse this trend: approximately 4,253-10,343 km 2 of forest has been impacted by fire, leading to some of the most severe potential impacts on biodiversity since 2009. These results highlight the critical role of policy enforcement in the preservation of biodiversity in the Amazon., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2021
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23. The dimensionality and structure of species trait spaces.

Author: Mouillot D, Loiseau N, Grenié M, Algar AC, Allegra M, Cadotte MW, Casajus N, Denelle P, Guéguen M, Maire A, Maitner B, McGill BJ, McLean M, Mouquet N, Munoz F, Thuiller W, Villéger S, Violle C, and Auber A
Subjects: Ecology, Phenotype, Research Design, Biodiversity, Ecosystem
Abstract: Trait-based ecology aims to understand the processes that generate the overarching diversity of organismal traits and their influence on ecosystem functioning. Achieving this goal requires simplifying this complexity in synthetic axes defining a trait space and to cluster species based on their traits while identifying those with unique combinations of traits. However, so far, we know little about the dimensionality, the robustness to trait omission and the structure of these trait spaces. Here, we propose a unified framework and a synthesis across 30 trait datasets representing a broad variety of taxa, ecosystems and spatial scales to show that a common trade-off between trait space quality and operationality appears between three and six dimensions. The robustness to trait omission is generally low but highly variable among datasets. We also highlight invariant scaling relationships, whatever organismal complexity, between the number of clusters, the number of species in the dominant cluster and the number of unique species with total species richness. When species richness increases, the number of unique species saturates, whereas species tend to disproportionately pack in the richest cluster. Based on these results, we propose some rules of thumb to build species trait spaces and estimate subsequent functional diversity indices., (© 2021 John Wiley & Sons Ltd.)
Published: 2021
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24. Consistent trait-environment relationships within and across tundra plant communities.

Author: Kemppinen J, Niittynen P, le Roux PC, Momberg M, Happonen K, Aalto J, Rautakoski H, Enquist BJ, Vandvik V, Halbritter AH, Maitner B, and Luoto M
Subjects: Antarctic Regions, Arctic Regions, Plants, Ecosystem, Tundra
Abstract: A fundamental assumption in trait-based ecology is that relationships between traits and environmental conditions are globally consistent. We use field-quantified microclimate and soil data to explore if trait-environment relationships are generalizable across plant communities and spatial scales. We collected data from 6,720 plots and 217 species across four distinct tundra regions from both hemispheres. We combined these data with over 76,000 database trait records to relate local plant community trait composition to broad gradients of key environmental drivers: soil moisture, soil temperature, soil pH and potential solar radiation. Results revealed strong, consistent trait-environment relationships across Arctic and Antarctic regions. This indicates that the detected relationships are transferable between tundra plant communities also when fine-scale environmental heterogeneity is accounted for, and that variation in local conditions heavily influences both structural and leaf economic traits. Our results strengthen the biological and mechanistic basis for climate change impact predictions of vulnerable high-latitude ecosystems.
Published: 2021
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25. Global distribution and conservation status of ecologically rare mammal and bird species.

Author: Loiseau N, Mouquet N, Casajus N, Grenié M, Guéguen M, Maitner B, Mouillot D, Ostling A, Renaud J, Tucker C, Velez L, Thuiller W, and Violle C
Subjects: Animals, Geography, Humans, Ice Cover, Phylogeny, Principal Component Analysis, Species Specificity, Birds physiology, Conservation of Natural Resources, Ecosystem, Internationality, Mammals physiology
Abstract: Identifying species that are both geographically restricted and functionally distinct, i.e. supporting rare traits and functions, is of prime importance given their risk of extinction and their potential contribution to ecosystem functioning. We use global species distributions and functional traits for birds and mammals to identify the ecologically rare species, understand their characteristics, and identify hotspots. We find that ecologically rare species are disproportionately represented in IUCN threatened categories, insufficiently covered by protected areas, and for some of them sensitive to current and future threats. While they are more abundant overall in countries with a low human development index, some countries with high human development index are also hotspots of ecological rarity, suggesting transboundary responsibility for their conservation. Altogether, these results state that more conservation emphasis should be given to ecological rarity given future environmental conditions and the need to sustain multiple ecosystem processes in the long-term.
Published: 2020
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26. The commonness of rarity: Global and future distribution of rarity across land plants.

Author: Enquist BJ, Feng X, Boyle B, Maitner B, Newman EA, Jørgensen PM, Roehrdanz PR, Thiers BM, Burger JR, Corlett RT, Couvreur TLP, Dauby G, Donoghue JC, Foden W, Lovett JC, Marquet PA, Merow C, Midgley G, Morueta-Holme N, Neves DM, Oliveira-Filho AT, Kraft NJB, Park DS, Peet RK, Pillet M, Serra-Diaz JM, Sandel B, Schildhauer M, Šímová I, Violle C, Wieringa JJ, Wiser SK, Hannah L, Svenning JC, and McGill BJ
Subjects: Biodiversity, Climate Change, Embryophyta classification, Embryophyta growth & development, Endangered Species, Extinction, Biological
Abstract: A key feature of life's diversity is that some species are common but many more are rare. Nonetheless, at global scales, we do not know what fraction of biodiversity consists of rare species. Here, we present the largest compilation of global plant diversity to quantify the fraction of Earth's plant biodiversity that are rare. A large fraction, ~36.5% of Earth's ~435,000 plant species, are exceedingly rare. Sampling biases and prominent models, such as neutral theory and the k-niche model, cannot account for the observed prevalence of rarity. Our results indicate that (i) climatically more stable regions have harbored rare species and hence a large fraction of Earth's plant species via reduced extinction risk but that (ii) climate change and human land use are now disproportionately impacting rare species. Estimates of global species abundance distributions have important implications for risk assessments and conservation planning in this era of rapid global change., (Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).)
Published: 2019
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26 results on '"Maitner, B."'

1. Assessing trait-based scaling theory in tropical forests spanning a broad temperature gradient

2. Positive feedbacks and alternative stable states in forest leaf types

3. The global biogeography of tree leaf form and habit

4. Integrated global assessment of the natural forest carbon potential

5. Evenness mediates the global relationship between forest productivity and richness

6. Co-limitation towards lower latitudes shapes global forest diversity gradients

7. The number of tree species on Earth

8. Areas of global importance for conserving terrestrial biodiversity, carbon and water

9. NatureMap Priority maps to Areas of global importance for conserving terrestrial biodiversity, carbon, and water

10. Body size and sexual size dimorphism in primates: influence of climate and net primary productivity

11. Areas of global importance for terrestrial biodiversity, carbon, and water

12. Author Correction: Climatic controls of decomposition drive the global biogeography of forest-tree symbioses

13. Climatic controls of decomposition drive the global biogeography of forest-tree symbioses

14. Code sharing in ecology and evolution increases citation rates but remains uncommon.

15. ZooTraits: An R shiny app for exploring animal trait data for ecological and evolutionary research.

16. More than 17,000 tree species are at risk from rapid global change.

17. A global assessment of the Raunkiaeran shortfall in plants: geographic biases in our knowledge of plant traits.

18. Links to rare climates do not translate into distinct traits for island endemics.

19. Elevated extinction risk of cacti under climate change.

20. Areas of global importance for conserving terrestrial biodiversity, carbon and water.

21. Author Correction: Areas of global importance for conserving terrestrial biodiversity, carbon and water.

22. How deregulation, drought and increasing fire impact Amazonian biodiversity.

23. The dimensionality and structure of species trait spaces.

24. Consistent trait-environment relationships within and across tundra plant communities.

25. Global distribution and conservation status of ecologically rare mammal and bird species.

26. The commonness of rarity: Global and future distribution of rarity across land plants.

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