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

Author

Steidinger, BS, Crowther, TW, Liang, J, Van Nuland, ME, Werner, GDA, Reich, PB, Nabuurs, G, de-Miguel, S, Zhou, M, Picard, N, Herault, B, Zhao, X, Zhang, C, Routh, D, Peay, KG, Abegg, M, Adou Yao, C, Alberti, G, Almeyda Zambrano, A, Alvarez-Davila, E, Alvarez-Loayza, P, Alves, LF, 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, JF, Birigazzi, L, Birnbaum, P, Bitariho, R, Boeckx, P, Bongers, F, Bouriaud, O, Brancalion, PHS, Brandl, S, Brearley, FQ, Brienen, R, Broadbent, E, Bruelheide, H, Bussotti, F, Cazzolla Gatti, R, Cesar, R, Cesljar, G, Chazdon, R, Chen, HYH, Chisholm, C, Cienciala, E, Clark, CJ, Clark, D, Colletta, G, Condit, R, Coomes, D, Cornejo Valverde, F, Corral-Rivas, JJ, Crim, P, Cumming, J, Dayanandan, S, de Gasper, AL, Decuyper, M, Derroire, G, DeVries, B, Djordjevic, I, Iêda, A, Dourdain, A, Obiang, NLE, Enquist, B, Eyre, T, Fandohan, AB, Fayle, TM, Feldpausch, TR, Finér, L, Fischer, M, Fletcher, C, Fridman, J, Frizzera, L, Gamarra, JGP, Gianelle, D, Glick, HB, Harris, D, Hector, A, Hemp, A, Hengeveld, G, Herbohn, J, Herold, M, Hillers, A, Honorio Coronado, EN, Huber, M, Hui, C, Cho, H, Ibanez, T, Jung, I, Imai, N, and Jagodzinski, AM

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 symbioses at the global scale, and demonstrates the critical role of microbial mutualisms in shaping the distribution of plant species.

Published
2019

2. The global distribution and drivers of wood density and their impact on forest carbon stocks.

Author

Mo L, Crowther TW, Maynard DS, van den Hoogen J, Ma H, Bialic-Murphy L, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Phillips OL, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Amaral I, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Boonman CCF, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Gatti RC, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Valverde FC, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hietz P, Hillers A, Honorio Coronado EN, Hui C, Ibanez T, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lewis SL, Li Y, Lopez-Gonzalez G, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, McCarthy JK, Meave JA, Melo-Cruz O, Mendoza C, Mendoza-Polo I, Miscicki S, Merow C, Mendoza AM, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Picard N, Piedade MTF, Piotto D, Pitman NCA, Poorter L, Poulsen AD, Poulsen JR, Pretzsch H, Arevalo FR, Restrepo-Correa Z, Richardson SJ, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Da Silva AC, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Sosinski EE Jr, Souza AF, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, Van Bodegom PM, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Zohner CM

Abstract

The density of wood is a key indicator of the carbon investment strategies of trees, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here we analyse information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially explicit understanding of the global wood density distribution and its drivers. Our findings reveal a pronounced latitudinal gradient, with wood in tropical forests being up to 30% denser than that in boreal forests. In both angiosperms and gymnosperms, hydrothermal conditions represented by annual mean temperature and soil moisture emerged as the primary factors influencing the variation in wood density globally. This indicates similar environmental filters and evolutionary adaptations among distinct plant groups, underscoring the essential role of abiotic factors in determining wood density in forest ecosystems. Additionally, our study highlights the prominent role of disturbance, such as human modification and fire risk, in influencing wood density at more local scales. Factoring in the spatial variation of wood density notably changes the estimates of forest carbon stocks, leading to differences of up to 21% within biomes. Therefore, our research contributes to a deeper understanding of terrestrial biomass distribution and how environmental changes and disturbances impact forest ecosystems., (© 2024. The Author(s).)

Published
2024
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3. Uncertainty in REDD+ carbon accounting: a survey of experts involved in REDD+ reporting.

Author

Butler BJ, Sass EM, Gamarra JGP, Campbell JL, Wayson C, Olguín M, Carrillo O, and Yanai RD

Abstract

Background: Reducing Emissions from Deforestation and forest Degradation (REDD+) is a program established under the United Nations Framework Convention on Climate Change (UNFCCC) to reduce carbon emissions from forests in developing countries. REDD+ uses an incentive-based approach whereby participating countries are paid to reduce forest carbon loss and increase carbon storage. Country-level carbon accounting is challenging, and estimates of uncertainty in emission reductions are increasingly required in REDD+ reports. This requirement is hard to meet if countries lack the necessary resources, tools, and capabilities. Some REDD+ programs adjust their payments for the uncertainty reported, which presents a perverse incentive because uncertainties are larger if more sources of uncertainty are reported. We surveyed people involved in REDD+ reporting to assess current capacities and barriers to improving estimates of uncertainty., Results: Representatives from 27 countries (44% of REDD+ countries at the time of survey implementation) responded to the survey. Nearly all respondents thought it important to include uncertainty in REDD+ reports, but most felt that the uncertainty reporting by their countries was inadequate. Our independent assessment of reports by these countries to the UNFCCC supported this opinion: Most countries reported uncertainty in activity data (91%) but not in emission factors (4-14%). Few countries use more advanced approaches to estimate uncertainty, such as Monte Carlo and Bayesian techniques, and many respondents indicated that they lack expertise, knowledge, or technical assistance. Other barriers include lack of financial resources and appropriate data. Despite these limitations, nearly all respondents indicated a strong desire to improve estimates of uncertainty in REDD+ reports., Conclusions: The survey indicated that people involved in REDD+ reporting think it highly important to improve estimates of uncertainty in forest carbon accounting. To meet this challenge, it is essential to understand the obstacles countries face in quantifying uncertainty so we can identify where best to allocate efforts and funds. Investments in training and resources are clearly needed to better quantify uncertainty and would likely have successful outcomes given the strong desire for improvement. Tracking the efficacy of programs implemented to improve estimates of uncertainty would be useful for making further refinements., (© 2024. The Author(s).)

Published
2024
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4. Integrated global assessment of the natural forest carbon potential.

Author

Mo L, Zohner CM, Reich PB, Liang J, de Miguel S, Nabuurs GJ, Renner SS, van den Hoogen J, Araza A, Herold M, Mirzagholi L, Ma H, Averill C, Phillips OL, Gamarra JGP, Hordijk I, Routh D, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Amaral I, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Cazzolla Gatti R, César RG, Cesljar G, Chazdon RL, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Frizzera L, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Hillers A, Honorio Coronado EN, Hui C, Ibanez T, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Meave JA, Melo-Cruz O, Mendoza C, Mendoza-Polo I, Miscicki S, Merow C, Monteagudo Mendoza A, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Picard N, Piedade MTF, Piotto D, Pitman NCA, Poulsen AD, Poulsen JR, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, Gann GD, and Crowther TW

Subjects
Biodiversity, Human Activities, Environmental Restoration and Remediation trends, Sustainable Development trends, Global Warming prevention & control, Carbon analysis, Carbon metabolism, Carbon Sequestration, Conservation of Natural Resources statistics & numerical data, Conservation of Natural Resources trends, Forests
Abstract

Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system 1 . Remote-sensing estimates to quantify carbon losses from global forests 2-5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced 6 and satellite-derived approaches 2,7,8 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 idea 2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets., (© 2023. The Author(s).)

Published
2023
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5. The global biogeography of tree leaf form and habit.

Author

Ma H, Crowther TW, Mo L, Maynard DS, Renner SS, van den Hoogen J, Zou Y, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Niinemets Ü, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Cazzolla Gatti R, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Valverde FC, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Fridman J, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Monteagudo Mendoza A, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTF, Piotto D, Pitman NCA, Mendoza-Polo I, Poulsen AD, Poulsen JR, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miścicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Westerlund B, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Zohner CM

Subjects
Humans, Forests, Plant Leaves metabolism, Habits, Carbon metabolism, Trees metabolism, Ecosystem
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., (© 2023. The Author(s).)

Published
2023
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6. Author Correction: Native diversity buffers against severity of non-native tree invasions.

Author

Delavaux CS, Crowther TW, Zohner CM, Robmann NM, Lauber T, van den Hoogen J, Kuebbing S, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Gatti RC, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Fischer M, Fletcher C, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Martynenko O, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Mendoza AM, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTTF, Piotto D, Pitman NCA, Polo I, Poorter L, Poulsen AD, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miscicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Do TV, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Maynard DS

Published
2023
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7. Native diversity buffers against severity of non-native tree invasions.

Author

Delavaux CS, Crowther TW, Zohner CM, Robmann NM, Lauber T, van den Hoogen J, Kuebbing S, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Gatti RC, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Fischer M, Fletcher C, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Martynenko O, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Mendoza AM, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTTF, Piotto D, Pitman NCA, Polo I, Poorter L, Poulsen AD, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miscicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Do TV, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Maynard DS

Subjects
Databases, Factual, Human Activities, Phylogeny, Rain, Temperature, Biodiversity, Introduced Species statistics & numerical data, Introduced Species trends, Trees classification, Trees physiology, Environment
Abstract

Determining the drivers of non-native plant invasions is critical for managing native ecosystems and limiting the spread of invasive species 1,2 . Tree invasions in particular have been relatively overlooked, even though they have the potential to transform ecosystems and economies 3,4 . Here, leveraging global tree databases 5-7 , we explore how the phylogenetic and functional diversity of native tree communities, human pressure and the environment influence the establishment of non-native tree species and the subsequent invasion severity. We find that anthropogenic factors are key to predicting whether a location is invaded, but that invasion severity is underpinned by native diversity, with higher diversity predicting lower invasion severity. Temperature and precipitation emerge as strong predictors of invasion strategy, with non-native species invading successfully when they are similar to the native community in cold or dry extremes. Yet, despite the influence of these ecological forces in determining invasion strategy, we find evidence that these patterns can be obscured by human activity, with lower ecological signal in areas with higher proximity to shipping ports. Our global perspective of non-native tree invasion highlights that human drivers influence non-native tree presence, and that native phylogenetic and functional diversity have a critical role in the establishment and spread of subsequent invasions., (© 2023. The Author(s).)

Published
2023
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8. Spatial database of planted forests in East Asia.

Author

Abbasi AO, Tang X, Harris NL, Goldman ED, Gamarra JGP, Herold M, Kim HS, Luo W, Silva CA, Tchebakova NM, Mitra A, Finegold Y, Jahanshahi MR, Alvarez CI, Kim TK, Ryu D, and Liang J

Abstract

Planted forests are critical to climate change mitigation and constitute a major supplier of timber/non-timber products and other ecosystem services. Globally, approximately 36% of planted forest area is located in East Asia. However, reliable records of the geographic distribution and tree species composition of these planted forests remain very limited. Here, based on extensive in situ and remote sensing data, as well as an ensemble modeling approach, we present the first spatial database of planted forests for East Asia, which consists of maps of the geographic distribution of planted forests and associated dominant tree genera. Of the predicted planted forest areas in East Asia (948,863 km 2 ), China contributed 87%, most of which is located in the lowland tropical/subtropical regions, and Sichuan Basin. With 95% accuracy and an F1 score of 0.77, our spatially-continuous maps of planted forests enable accurate quantification of the role of planted forests in climate change mitigation. Our findings inform effective decision-making in forest conservation, management, and global restoration projects., (© 2023. The Author(s).)

Published
2023
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9. Exploring characteristics of national forest inventories for integration with global space-based forest biomass data.

Author

Nesha K, Herold M, De Sy V, de Bruin S, Araza A, Málaga N, Gamarra JGP, Hergoualc'h K, Pekkarinen A, Ramirez C, Morales-Hidalgo D, and Tavani R

Subjects
Biomass, Climate Change, Forests, Environmental Monitoring, Trees
Abstract

National forest inventories (NFIs) are a reliable source for national forest measurements. However, they are usually not developed for linking with remotely sensed (RS) biomass information. There are increasing needs and opportunities to facilitate this link towards better global and national biomass estimation. Thus, it is important to study and understand NFI characteristics relating to their integration with space-based products; in particular for the tropics where NFIs are quite recent, less frequent, and partially incomplete in several countries. Here, we (1) assessed NFIs in terms of their availability, temporal distribution, and extent in 236 countries from FAO's Global Forest Resources Assessment (FRA) 2020; (2) compared national forest biomass estimates in 2018 from FRA and global space-based Climate Change Initiative (CCI) product in 182 countries considering NFI availability and temporality; and (3) analyzed the latest NFI design characteristics in 46 tropical countries relating to their integration with space-based biomass datasets. We observed significant NFI availability globally and multiple NFIs were mostly found in temperate and boreal countries while most of the single NFI countries (94 %) were in the tropics. The latest NFIs were more recent in the tropics and many countries (35) implemented NFIs from 2016 onwards. The increasing availability and update of NFIs create new opportunities for integration with space-based data at the national level. This is supported by the agreement we found between country biomass estimates for 2018 from FRA and CCI product, with a significantly higher correlation in countries with recent NFIs. We observed that NFI designs varied greatly in tropical countries. For example, the size of the plots ranged from 0.01 to 1 ha and more than three-quarters of the countries had smaller plots of ≤0.25 ha. The existing NFI designs could pose specific challenges for statistical integration with RS data in the tropics. Future NFI and space-based efforts should aim towards a more integrated approach taking advantage of both data streams to improve national estimates and help future data harmonization efforts. Regular NFI efforts can be expanded with the inclusion of some super-site plots to enhance data integration with currently available space-based applications. Issues related to cost implications versus improvements in the accuracy, timeliness, and sustainability of national forest biomass estimation should be further explored., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2022
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10. Co-limitation towards lower latitudes shapes global forest diversity gradients.

Author

Liang J, Gamarra JGP, Picard N, Zhou M, Pijanowski B, Jacobs DF, Reich PB, Crowther TW, Nabuurs GJ, de-Miguel S, Fang J, Woodall CW, Svenning JC, Jucker T, Bastin JF, Wiser SK, Slik F, Hérault B, Alberti G, Keppel G, Hengeveld GM, Ibisch PL, Silva CA, Ter Steege H, Peri PL, Coomes DA, Searle EB, von Gadow K, Jaroszewicz B, Abbasi AO, Abegg M, Yao YCA, Aguirre-Gutiérrez J, Zambrano AMA, Altman J, Alvarez-Dávila E, Álvarez-González JG, Alves LF, Amani BHK, Amani CA, Ammer C, Ilondea BA, Antón-Fernández C, Avitabile V, Aymard GA, Azihou AF, Baard JA, Baker TR, Balazy R, Bastian ML, Batumike R, Bauters M, Beeckman H, Benu NMH, Bitariho R, Boeckx P, Bogaert J, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Briseno-Reyes J, Broadbent EN, Bruelheide H, Bulte E, Catlin AC, Cazzolla Gatti R, César RG, Chen HYH, Chisholm C, Cienciala E, Colletta GD, Corral-Rivas JJ, Cuchietti A, Cuni-Sanchez A, Dar JA, Dayanandan S, de Haulleville T, Decuyper M, Delabye S, Derroire G, DeVries B, Diisi J, Do TV, Dolezal J, Dourdain A, Durrheim GP, Obiang NLE, Ewango CEN, Eyre TJ, Fayle TM, Feunang LFN, Finér L, Fischer M, Fridman J, Frizzera L, de Gasper AL, Gianelle D, Glick HB, Gonzalez-Elizondo MS, Gorenstein L, Habonayo R, Hardy OJ, Harris DJ, Hector A, Hemp A, Herold M, Hillers A, Hubau W, Ibanez T, Imai N, Imani G, Jagodzinski AM, Janecek S, Johannsen VK, Joly CA, Jumbam B, Kabelong BLPR, Kahsay GA, Karminov V, Kartawinata K, Kassi JN, Kearsley E, Kennard DK, Kepfer-Rojas S, Khan ML, Kigomo JN, Kim HS, Klauberg C, Klomberg Y, Korjus H, Kothandaraman S, Kraxner F, Kumar A, Kuswandi R, Lang M, Lawes MJ, Leite RV, Lentner G, Lewis SL, Libalah MB, Lisingo J, López-Serrano PM, Lu H, Lukina NV, Lykke AM, Maicher V, Maitner BS, Marcon E, Marshall AR, Martin EH, Martynenko O, Mbayu FM, Mbuvi MTE, Meave JA, Merow C, Miscicki S, Moreno VS, Morera A, Mukul SA, Müller JC, Murdjoko A, Nava-Miranda MG, Ndive LE, Neldner VJ, Nevenic RV, Nforbelie LN, Ngoh ML, N'Guessan AE, Ngugi MR, Ngute ASK, Njila ENN, Nyako MC, Ochuodho TO, Oleksyn J, Paquette A, Parfenova EI, Park M, Parren M, Parthasarathy N, Pfautsch S, Phillips OL, Piedade MTF, Piotto D, Pollastrini M, Poorter L, Poulsen JR, Poulsen AD, Pretzsch H, Rodeghiero M, Rolim SG, Rovero F, Rutishauser E, Sagheb-Talebi K, Saikia P, Sainge MN, Salas-Eljatib C, Salis A, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Šebeň V, Sellan G, Selvi F, Serra-Diaz JM, Sheil D, Shvidenko AZ, Sist P, Souza AF, Stereńczak KJ, Sullivan MJP, Sundarapandian S, Svoboda M, Swaine MD, Targhetta N, Tchebakova N, Trethowan LA, Tropek R, Mukendi JT, Umunay PM, Usoltsev VA, Vaglio Laurin G, Valentini R, Valladares F, van der Plas F, Vega-Nieva DJ, Verbeeck H, Viana H, Vibrans AC, Vieira SA, Vleminckx J, Waite CE, Wang HF, Wasingya EK, Wekesa C, Westerlund B, Wittmann F, Wortel V, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhu J, Zhu X, Zhu ZX, Zo-Bi IC, and Hui C

Subjects
Soil, Trees, Biodiversity, Forests
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
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11. The number of tree species on Earth.

Author

Cazzolla Gatti R, Reich PB, Gamarra JGP, Crowther T, Hui C, Morera A, Bastin JF, de-Miguel S, Nabuurs GJ, Svenning JC, Serra-Diaz JM, Merow C, Enquist B, Kamenetsky M, Lee J, Zhu J, Fang J, Jacobs DF, Pijanowski B, Banerjee A, Giaquinto RA, Alberti G, Almeyda Zambrano AM, Alvarez-Davila E, Araujo-Murakami A, Avitabile V, Aymard GA, Balazy R, Baraloto C, Barroso JG, Bastian ML, Birnbaum P, Bitariho R, Bogaert J, Bongers F, Bouriaud O, Brancalion PHS, Brearley FQ, Broadbent EN, Bussotti F, Castro da Silva W, César RG, Češljar G, Chama Moscoso V, Chen HYH, Cienciala E, Clark CJ, Coomes DA, Dayanandan S, Decuyper M, Dee LE, Del Aguila Pasquel J, Derroire G, Djuikouo MNK, Van Do T, Dolezal J, Đorđević IĐ, Engel J, Fayle TM, Feldpausch TR, Fridman JK, Harris DJ, Hemp A, Hengeveld G, Herault B, Herold M, Ibanez T, Jagodzinski AM, Jaroszewicz B, Jeffery KJ, Johannsen VK, Jucker T, Kangur A, Karminov VN, Kartawinata K, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Khare PK, Kileen TJ, Kim HS, Korjus H, Kumar A, Kumar A, Laarmann D, Labrière N, Lang M, Lewis SL, Lukina N, Maitner BS, Malhi Y, Marshall AR, Martynenko OV, Monteagudo Mendoza AL, Ontikov PV, Ortiz-Malavasi E, Pallqui Camacho NC, Paquette A, Park M, Parthasarathy N, Peri PL, Petronelli P, Pfautsch S, Phillips OL, Picard N, Piotto D, Poorter L, Poulsen JR, Pretzsch H, Ramírez-Angulo H, Restrepo Correa Z, Rodeghiero M, Rojas Gonzáles RDP, Rolim SG, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Schepaschenko D, Scherer-Lorenzen M, Šebeň V, Silveira M, Slik F, Sonké B, Souza AF, Stereńczak KJ, Svoboda M, Taedoumg H, Tchebakova N, Terborgh J, Tikhonova E, Torres-Lezama A, van der Plas F, Vásquez R, Viana H, Vibrans AC, Vilanova E, Vos VA, Wang HF, Westerlund B, White LJT, Wiser SK, Zawiła-Niedźwiecki T, Zemagho L, Zhu ZX, Zo-Bi IC, and Liang J

Subjects
Earth, Planet, Trees growth & development, Conservation of Natural Resources, Forests, Trees classification
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., Competing Interests: Competing interest statement: M.L.B. is an employee of PNAS., (Copyright © 2022 the Author(s). Published by PNAS.)

Published
2022
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13. Emerging threats linking tropical deforestation and the COVID-19 pandemic.

Author

Brancalion PHS, Broadbent EN, de-Miguel S, Cardil A, Rosa MR, Almeida CT, Almeida DRA, Chakravarty S, Zhou M, Gamarra JGP, Liang J, Crouzeilles R, Hérault B, Aragão LEOC, Silva CA, and Almeyda-Zambrano AM

Abstract

Tropical deforestation drivers are complex and can change rapidly in periods of profound societal transformation, such as those during a pandemic. Evidence suggests that the COVID-19 pandemic has spurred illegal, opportunistic forest clearing in tropical countries, threatening forest ecosystems and their resident human communities. A total of 9583 km 2 of deforestation alerts from Global Land Analysis & Discovery (GLAD) were detected across the global tropics during the first month following the implementation of confinement measures of local governments to reduce COVID-19 spread, which is nearly double that of 2019 (4732 km 2 ). We present a conceptual framework linking tropical deforestation and the current pandemic. Zoonotic diseases, public health, economy, agriculture, and forests may all be reciprocally linked in complex positive and negative feedback loops with overarching consequences. We highlight the emerging threats to nature and society resulting from this complex reciprocal interplay and possible policy interventions that could minimize these threats., (© 2020 Associação Brasileira de Ciência Ecológica e Conservação. Published by Elsevier B.V.)

Published
2020
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