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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
The global biogeography of tree leaf form and habit
Ma, Haozhi
;Crowther, Thomas W;Mo, Lidong;Maynard, Daniel S;Renner, Susanne S;van den Hoogen, Johan;Zou, Yibiao;Liang, Jingjing;de-Miguel, Sergio;Nabuurs, Gert-Jan;Reich, Peter B;Niinemets, Ülo;Abegg, Meinrad;Adou Yao, Yves C;Alberti, Giorgio;Almeyda Zambrano, Angelica M;Alvarado, Braulio Vilchez;Alvarez-Dávila, Esteban;Alvarez-Loayza, Patricia;Alves, Luciana F;Ammer, Christian;Antón-Fernández, Clara;Araujo-Murakami, Alejandro;Arroyo, Luzmila;Avitabile, Valerio;Aymard, Gerardo A;Baker, Timothy R;Bałazy, Radomir;Banki, Olaf;Barroso, Jorcely G;Bastian, Meredith L;Bastin, Jean-Francois;Birigazzi, Luca;Birnbaum, Philippe;Bitariho, Robert;Boeckx, Pascal;Bongers, Frans;Bouriaud, Olivier;Brancalion, Pedro H S;Brandl, Susanne;Brearley, Francis Q;Brienen, Roel;Broadbent, Eben N;Bruelheide, Helge;Bussotti, Filippo;Cazzolla Gatti, Roberto;César, Ricardo G;Cesljar, Goran;Chazdon, Robin;Chen, Han Y H;Chisholm, Chelsea;Cho, Hyunkook;Cienciala, Emil;Clark, Connie;Clark, David;Colletta, Gabriel D;Coomes, David A;Valverde, Fernando Cornejo;Corral-Rivas, José J;Crim, Philip M;Cumming, Jonathan R;Dayanandan, Selvadurai;de Gasper, André L;Decuyper, Mathieu;Derroire, Géraldine;DeVries, Ben;Djordjevic, Ilija;Dolezal, Jiri;Dourdain, Aurélie;Engone Obiang, Nestor Laurier;Enquist, Brian J;Eyre, Teresa J;Fandohan, Adandé Belarmain;Fayle, Tom M;Feldpausch, Ted R;Ferreira, Leandro V;Finér, Leena;Fischer, Markus;Fletcher, Christine;Fridman, Jonas;Frizzera, Lorenzo;Gamarra, Javier G P;Gianelle, Damiano;Glick, Henry B;Harris, David J;Hector, Andrew;Hemp, Andreas;Hengeveld, Geerten;Hérault, Bruno;Herbohn, John L;Herold, Martin;Hillers, Annika;Honorio Coronado, Eurídice N;Hui, Cang;Ibanez, Thomas T;Amaral, Iêda;Imai, Nobuo;Jagodziński, Andrzej M;Jaroszewicz, Bogdan;Johannsen, Vivian Kvist;Joly, Carlos A;Jucker, Tommaso;Jung, Ilbin;Karminov, Viktor;Kartawinata, Kuswata;Kearsley, Elizabeth;Kenfack, David;Kennard, Deborah K;Kepfer-Rojas, Sebastian;Keppel, Gunnar;Khan, Mohammed Latif;Killeen, Timothy J;Kim, Hyun Seok;Kitayama, Kanehiro;Köhl, Michael;Korjus, Henn;Kraxner, Florian;Kucher, Dmitry;Laarmann, Diana;Lang, Mait;Lewis, Simon L;Lu, Huicui;Lukina, Natalia V;Maitner, Brian S;Malhi, Yadvinder;Marcon, Eric;Marimon, Beatriz Schwantes;Marimon-Junior, Ben Hur;Marshall, Andrew R;Martin, Emanuel H;Meave, Jorge A;Melo-Cruz, Omar;Mendoza, Casimiro;Merow, Cory;Monteagudo Mendoza, Abel;Moreno, Vanessa S;Mukul, Sharif A;Mundhenk, Philip;Nava-Miranda, María Guadalupe;Neill, David;Neldner, Victor J;Nevenic, Radovan V;Ngugi, Michael R;Niklaus, Pascal A;Oleksyn, Jacek;Ontikov, Petr;Ortiz-Malavasi, Edgar;Pan, Yude;Paquette, Alain;Parada-Gutierrez, Alexander;Parfenova, Elena I;Park, Minjee;Parren, Marc;Parthasarathy, Narayanaswamy;Peri, Pablo L;Pfautsch, Sebastian;Phillips, Oliver L;Picard, Nicolas;Piedade, Maria Teresa F;Piotto, Daniel;Pitman, Nigel C A;Mendoza-Polo, Irina;Poulsen, Axel D;Poulsen, John R;Pretzsch, Hans;Ramirez Arevalo, Freddy;Restrepo-Correa, Zorayda;Rodeghiero, Mirco;Rolim, Samir G;Roopsind, Anand;Rovero, Francesco;Rutishauser, Ervan;Saikia, Purabi;Salas-Eljatib, Christian;Saner, Philippe;Schall, Peter;Schelhaas, Mart-Jan;Schepaschenko, Dmitry;Scherer-Lorenzen, Michael;Schmid, Bernhard;Schöngart, Jochen;Searle, Eric B;Seben, Vladimír;Serra-Diaz, Josep M;Sheil, Douglas;Shvidenko, Anatoly Z;Silva-Espejo, Javier E;Silveira, Marcos;Singh, James;Sist, Plinio;Slik, Ferry;Sonké, Bonaventure;Souza, Alexandre F;Miścicki, Stanislaw;Stereńczak, Krzysztof J;Svenning, Jens-Christian;Svoboda, Miroslav;Swanepoel, Ben;Targhetta, Natalia;Tchebakova, Nadja;Ter Steege, Hans;Thomas, Raquel;Tikhonova, Elena;Umunay, Peter M;Usoltsev, Vladimir A;Valencia, Renato;Valladares, Fernando;van der Plas, Fons;Van Do, Tran;van Nuland, Michael E;Vasquez, Rodolfo M;Verbeeck, Hans;Viana, Helder;Vibrans, Alexander C;Vieira, Simone;von Gadow, Klaus;Wang, Hua-Feng;Watson, James V;Werner, Gijsbert D A;Westerlund, Bertil;Wiser, Susan K;Wittmann, Florian;Woell, Hannsjoerg;Wortel, Verginia;Zagt, Roderick;Zawiła-Niedźwiecki, Tomasz;Zhang, Chunyu;Zhao, Xiuhai;Zhou, Mo;Zhu, Zhi-Xin;Zo-Bi, Irie C;Zohner, Constantin M
2023-10-23
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
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/82715
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.