المؤلفون: Cooper, D.L.M., Lewis, S.L., Sullivan, M.J.P., Prado, P.I., ter Steege, H., Barbier, N., Slik, F., Sonké, B., Ewango, C.E.N., Adu-Bredu, S., Affum-Baffoe, K., de Aguiar, D.P.P., Ahuite Reategui, M.A., Aiba, S.-I., Albuquerque, B.W., de Almeida Matos, F.D., Alonso, A., Amani, C.A., do Amaral, D.D., do Amaral, I.L., van Andel, T.R., Andrade, A., de Andrade Miranda, I.P, Angoboy, I.B., Araujo-Murakami, A., Arboleda, N.C., Arroyo, L., Ashton, P., Aymard C., G.A., Baider, C., Baker, T.R., Balinga, M.P.B., Balslev, H., Banin, L.F., Bánki, O.S., Baraloto, C., Barbosa, E.M., Barbosa, F.R., Barlow, J., Bastin, J.-F., Beeckman, H., Begne, S., Bengone, N.N., Berenguer, E., Berry, N., Bitariho, R., Boeckx, P., Bogaert, J., Bonyoma, B., Boundja, P., Bourland, N., Bosela, F.B., Brambach, F., Brienen, R., Burslem, D.F.R.P., Camargo, J.L., Campelo, W., Cano, A., Cárdenas, S., Cárdenas López, D., Carpanedo, R.D.S., Carrero Márquez, Y.A., Carvalho, F.A., Casas, L.F., Castellanos, H., Castilho, C.V., Cerón, C., Chapman, C.A., Chave, J., Chhang, P., Chutipong, W., Chuyong, G.B., Cintra, B.B.L., Clark, C.J., Coelho de Souza, F., Comiskey, J.A., Coomes, D.A., Cornejo Valverde, F., Correa, D.F., Costa, F.R.C., Costa, J.B.P., Couteron, P., Culmsee, H., Cuni-Sanchez, A., Dallmeier, F., Damasco, G., Dauby, G., Dávila, N., Doza, H.P.D., De Alban, J.D.T., de Assis, R.L., De Canniere, C., De Haulleville, T., de Jesus Veiga Carim, M., Demarchi, L.O., Dexter, K.G., Di Fiore, A., Din, H.H.M., Disney, M.I., Djiofack, B.Y., Djuikouo, M.-N.K., Do, T.V., Doucet, J.-L., Draper, F.C., Droissart, V., Duivenvoorden, J.F., Engel, J., Estienne, V., Farfan-Rios, W., Fauset, S., Feeley, K.J., Feitosa, Y.O., Feldpausch, T.R., Ferreira, C., Ferreira, J., Ferreira, L.V., Fletcher, C.D., Flores, B.M., Fofanah, A., Foli, E.G., Fonty, E., Fredriksson, G.M., Fuentes, A., Galbraith, D., Gonzales, G.P.G., Garcia-Cabrera, K., García-Villacorta, R., Gomes, V.H.F., Gómez, R.Z., Gonzales, T., Gribel, R., Guedes, M.C., Guevara, J.E., Hakeem, K.R., Hall, J.S., Hamer, K.C., Hamilton, A.C., Harris, D.J., Harrison, R.D., Hart, T.B., Hector, A., Henkel, T.W., Herbohn, J., Hockemba, M.B.N., Hoffman, B., Holmgren, M., Honorio Coronado, E.N., Huamantupa-Chuquimaco, I., Hubau, W., Imai, N., Irume, M.V., Jansen, P.A., Jeffery, K.J., Jimenez, E.M., Jucker, T., Junqueira, A.B., Kalamandeen, M., Kamdem, N.G., Kartawinata, K., Kasongo Yakusu, E., Katembo, J.M., Kearsley, E., Kenfack, D., Kessler, M., Khaing, T.T., Killeen, T.J., Kitayama, K., Klitgaard, B., Labrière, N., Laumonier, Y., Laurance, S.G.W., Laurance, W.F., Laurent, F., Le, T.C., Le, T.T., Leal, M.E., Leão de Moraes Novo, E.M., Levesley, A., Libalah, M.B., Licona, J.C., Lima Filho, D.D.A., Lindsell, J.A., Lopes, A., Lopes, M.A., Lovett, J.C., Lowe, R., Lozada, J.R., Lu, X., Luambua, N.K., Luize, B.G., Maas, P., Magalhães, J.L.L., Magnusson, W.E., Mahayani, N.P.D., Makana, J.-R., Malhi, Y., Maniguaje Rincón, L., Mansor, A., Manzatto, A.G., Marimon, B.S., Marimon-Junior, B.H., Marshall, A.R., Martins, M.P., Mbayu, F.M., de Medeiros, M.B., Mesones, I., Metali, F., Mihindou, V., Millet, J., Milliken, W., Mogollón, H.F., Molino, J.-F., Mohd. Said, M.N., Mendoza, A.M., Montero, J.C., Moore, S., Mostacedo, B., Mozombite Pinto, L.F., Mukul, S.A., Munishi, P.K.T., Nagamasu, H., Nascimento, H.E.M., Nascimento, M.T., Neill, D., Nilus, R., Noronha, J.C., Nsenga, L., Núñez Vargas, P., Ojo, L., Oliveira, A.A., de Oliveira, E.A., Ondo, F.E., Palacios Cuenca, W., Pansini, S., Pansonato, M.P., Paredes, M.R., Paudel, E., Pauletto, D., Pearson, R.G., Pena, J.L.R., Pennington, R.T., Peres, C.A., Permana, A., Petronelli, P., Peñuela Mora, M.C., Phillips, J.F., Phillips, O.L., Pickavance, G., Piedade, M.T.F., Pitman, N.C.A., Ploton, P., Popelier, A., Poulsen, J.R., Prieto, A., Primack, R.B., Priyadi, H., Qie, L., Quaresma, A.C., de Queiroz, H.L., Ramirez-Angulo, H., Ramos, J.F., Reis, N.F.C., Reitsma, J., Revilla, J.D.C., Riutta, T., Rivas-Torres, G., Robiansyah, I., Rocha, M., Rodrigues, D.D.J., Rodriguez-Ronderos, M.E., Rovero, F., Rozak, A.H., Rudas, A., Rutishauser, E., Sabatier, D., Sagang, L.B., Sampaio, A.F., Samsoedin, I., Satdichanh, M., Schietti, J., Schöngart, J., Scudeller, V.V., Seuaturien, N., Sheil, D., Sierra, R., Silman, M.R., Silva, T.S.F., da Silva Guimarães, J.R., Simo-Droissart, M., Simon, M.F., Sist, P., Sousa, T.R., de Sousa Farias, E., de Souza Coelho, L., Spracklen, D.V., Stas, S.M., Steinmetz, R., Stevenson, P.R., Stropp, J., Sukri, R.S., Sunderland, T.C.H., Suzuki, E., Swaine, M.D., Tang, J., Taplin, J., Taylor, D.M., Terborgh, J., Texier, N., Theilade, I., Thomas, D.W., Thomas, R., Thomas, S.C., Tirado, M., Toirambe, B., de Toledo, J.J., Tomlinson, K.W., Torres-Lezama, A., Tran, H.D., Tshibamba Mukendi, J., Tumaneng, R.D., Umaña, M.N., Umunay, P.M., Urrego Giraldo, L.E., Valderrama Sandoval, E.H., Valenzuela Gamarra, L., Van Andel, T.R., van de Bult, M., van de Pol, J., van der Heijden, G., Vasquez, R., Vela, C.I.A., Venticinque, E.M., Verbeeck, H., Veridiano, R.K.A., Vicentini, A., Vieira, I.C.G., Vilanova Torre, E., Villarroel, D., Villa Zegarra, B.E., Vleminckx, J., von Hildebrand, P., Vos, V.A., Vriesendorp, C., Webb, E.L., White, L.J.T., Wich, S., Wittmann, F., Zagt, R., Zang, R., Zartman, C.E., Zemagho, L., Zent, E.L., Zent, S.

الوصف: Trees structure the Earth’s most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1,2,3,4,5,6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth’s 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world’s most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees.

وصف الملف: text

العلاقة: https://eprints.whiterose.ac.uk/207422/8/s41586-023-06820-z.pdfTest; Cooper, D.L.M. orcid.org/0000-0002-8066-6851 , Lewis, S.L., Sullivan, M.J.P. et al. (350 more authors) (2024) Consistent patterns of common species across tropical tree communities. Nature. ISSN 0028-0836

الإتاحة: https://doi.org/10.1038/s41586-023-06820-zTest
https://eprints.whiterose.ac.uk/207422Test/
https://eprints.whiterose.ac.uk/207422/8/s41586-023-06820-z.pdfTest

المؤلفون: Mo, L., Zohner, C.M., Reich, P.B., Liang, J., de, Miguel, S., Nabuurs, G.-J., Renner, S.S., van, den, Hoogen, J., Araza, A., Herold, M., Mirzagholi, L., Ma, H., Averill, C., Phillips, O.L., Gamarra, J.G.P., Hordijk, I., Routh, D., Abegg, M., Adou, Yao, Y.C., Alberti, G., Almeyda, Zambrano, A.M., Alvarado, B.V., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L.F., Amaral, I., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G.A., Baker, T.R., Bałazy, R., Banki, O., Barroso, J.G., Bastian, M.L., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P.H.S., Brandl, S., Brearley, F.Q., Brienen, R., Broadbent, E.N., Bruelheide, H., Bussotti, F., Cazzolla, Gatti, R., César, R.G., Cesljar, G., Chazdon, R.L., Chen, H.Y.H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G.D., Coomes, D.A., Cornejo, Valverde, F., Corral-Rivas, J.J., Crim, P.M., Cumming, J.R., Dayanandan, S., de, Gasper, A.L., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Engone, Obiang, N.L., Enquist, B.J., Eyre, T.J., Fandohan, A.B., Fayle, T.M., Feldpausch, T.R., Ferreira, L.V., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gianelle, D., Glick, H.B., Harris, D.J., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J.L., Hillers, A., Honorio, Coronado, E.N., Hui, C., Ibanez, T., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Johannsen, V.K., Joly, C.A., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D.K., Kepfer-Rojas, S., Keppel, G., Khan, M.L., Killeen, T.J., Kim, H.S., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Kucher, D., Laarmann, D., Lang, M., Lu, H., Lukina, N.V., Maitner, B.S., Malhi, Y., Marcon, E., Marimon, B.S., Marimon-Junior, B.H., Marshall, A.R., Martin, E.H., Meave, J.A., Melo-Cruz, O., Mendoza, C., Mendoza-Polo, I., Miscicki, S., Merow, C., Monteagudo, Mendoza, A., Moreno, V.S., Mukul, S.A., Mundhenk, P., Nava-Miranda, M.G., Neill, D., Neldner, V.J., Nevenic, R.V., Ngugi, M.R., Niklaus, P.A., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E.I., Park, M., Parren, M., Parthasarathy, N., Peri, P.L., Pfautsch, S., Picard, N., Piedade, M.T.F., Piotto, D., Pitman, N.C.A., Poulsen, A.D., Poulsen, J.R., Pretzsch, H., Ramirez, Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S.G., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Saner, P., Schall, P., Schelhaas, M.-J., Schepaschenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Searle, E.B., Seben, V., Serra-Diaz, J.M., Sheil, D., Shvidenko, A.Z., Silva-Espejo, J.E., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A.F., Stereńczak, K.J., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., ter, Steege, H., Thomas, R., Tikhonova, E., Umunay, P.M., Usoltsev, V.A., Valencia, R., Valladares, F., van, der, Horst, A., Van, Do, T., van, Nuland, M.E., Vasquez, R.M., Verbeeck, H., Viana, H., Vibrans, A.C., Vieira, S., von, Gadow, K., Wang, H.-F., Watson, J.V., Werner, G.D.A., Wiser, S.K., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo-Bi, I.C., Gann, G.D., Crowther, T.W.

المساهمون: Department of Ecology and Evolutionary Biology, University of Arizona

المصدر: Nature

الوصف: 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). ; Open access article ; This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.

العلاقة: Mo, L., Zohner, C.M., Reich, P.B. et al. Integrated global assessment of the natural forest carbon potential. Nature 624, 92–101 (2023). https://doi.org/10.1038/s41586-023-06723-zTest; http://hdl.handle.net/10150/671468Test; Nature

الإتاحة: https://doi.org/10.1038/s41586-023-06723-zTest
http://hdl.handle.net/10150/671468Test

المؤلفون: Cao, Y., Ball, J.G.C., Coomes, D.A., Steinmeier, L., Knapp, Nikolai, Wilkes, P., Disney, M., Calders, K., Burt, A., Lin, Y., Jackson, T.D.

المصدر: ISSN: 0303-2434.

مصطلحات موضوعية: highlight, Airborne Laser Scanning, Broadleaf Forest, Individual Tree Segmentation, Benchmark Data, Algorithm Inter-comparison

الوصف: Individual tree segmentation from airborne laser scanning data is a longstanding and important challenge in forest remote sensing. Tree segmentation algorithms are widely available, but robust intercomparison studies are rare due to the difficulty of obtaining reliable reference data. Here we provide a benchmark data set for temperate and tropical broadleaf forests generated from labelled terrestrial laser scanning data. We compared the performance of four widely used tree segmentation algorithms against this benchmark data set. All algorithms performed reasonably well on the canopy trees. The point cloud-based algorithm AMS3D (Adaptive Mean Shift 3D) had the highest overall accuracy, closely followed by the 2D raster based region growing algorithm Dalponte2016 +. However, all algorithms failed to accurately segment the understory trees. This result was consistent across both forest types. This study emphasises the need to assess tree segmentation algorithms directly using benchmark data, rather than comparing with forest indices such as biomass or the number and size distribution of trees. We provide the first openly available benchmark data set for tropical forests and we hope future studies will extend this work to other regions.

وصف الملف: application/pdf

العلاقة: https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=28496Test; https://dx.doi.org/10.1016/j.jag.2023.103490Test

الإتاحة: https://doi.org/10.1016/j.jag.2023.103490Test
https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=28496Test

المؤلفون: Delavaux, C.S., Crowther, T.W., Zohner, C.M., Robmann, N.M., Lauber, T., van den Hoogen, J., Kuebbing, S., Liang, J., de-Miguel, S., Nabuurs, G.-J., Reich, P.B., Abegg, M., Adou Yao, Y.C., Alberti, G., Almeyda Zambrano, A.M., Alvarado, B.V., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L.F., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G.A., Baker, T.R., Bałazy, R., Banki, O., Barroso, J.G., Bastian, M.L., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P.H.S., Brandl, S., Brienen, R., Broadbent, E.N., Bruelheide, H., Bussotti, F., Gatti, R.C., César, R.G., Cesljar, G., Chazdon, R., Chen, H.Y.H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G.D., Coomes, D.A., Cornejo Valverde, F., Corral-Rivas, J.J., Crim, P.M., Cumming, J.R., Dayanandan, S., de Gasper, A.L., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Engone Obiang, N.L., Enquist, B.J., Eyre, T.J., Fandohan, A.B., Fayle, T.M., Feldpausch, T.R., Ferreira, L.V., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J.G.P., Gianelle, D., Glick, H.B., Harris, D.J., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J.L., Herold, M., Hillers, A., Honorio Coronado, E.N., Hui, C., Ibanez, T.T., Amaral, I., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Johannsen, V.K., Joly, C.A., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D.K., Kepfer-Rojas, S., Keppel, G., Khan, M.L., Killeen, T.J., Kim, H.S., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S.L., Lu, H., Lukina, N.V., Maitner, B.S., Malhi, Y., Marcon, E., Marimon, B.S., Marimon-Junior, B.H., Marshall, A.R., Martin, E.H., Martynenko, O., Meave, J.A., Melo-Cruz, O., Mendoza, C., Merow, C., Mendoza, A.M., Moreno, V.S., Mukul, S.A., Mundhenk, P., Nava-Miranda, M.G., Neill, D., Neldner, V.J., Nevenic, R.V., Ngugi, M.R., Niklaus, P.A., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E.I., Park, M., Parren, M., Parthasarathy, N., Peri, P.L., Pfautsch, S., Phillips, O.L., Picard, N., Piedade, M.T.T.F., Piotto, D., Pitman, N.C.A., Polo, I., Poorter, L., Poulsen, A.D., Pretzsch, H., Ramirez Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S.G., 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, E.B., Seben, V., Serra-Diaz, J.M., Sheil, D., Shvidenko, A.Z., Silva-Espejo, J.E., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A.F., Miscicki, S., Stereńczak, K.J., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., ter Steege, H., Thomas, R., Tikhonova, E., Umunay, P.M., Usoltsev, V.A., Valencia, R., Valladares, F., van der Plas, F., Do, T.V., van Nuland, M.E., Vasquez, R.M., Verbeeck, H., Viana, H., Vibrans, A.C., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J.V., Werner, G.D.A., Wiser, S.K., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo-Bi, I.C., Maynard, D.S.

الوصف: Correction to: Nature Published online 23 August 2023 In the version of the article initially published, Stanislaw Miscicki’s name incorrectly appeared as Miscicki Stanislaw. Additionally, the affiliation for Thomas T. Ibanez has been updated to “AMAP, University of Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France”, and the second affiliation for Sharif A. Mukul has been updated to “Department of Environment and Development Studies, United International University, Dhaka, Bangladesh”. The corrections have been made to the HTML and PDF versions of the article.

وصف الملف: text

العلاقة: https://eprints.whiterose.ac.uk/204976/1/s41586-023-06654-9.pdfTest; Delavaux, C.S. orcid.org/0000-0002-8340-2173 , Crowther, T.W., Zohner, C.M. et al. (223 more authors) (2023) Author Correction: Native diversity buffers against severity of non-native tree invasions. Nature, 622 (7982). E2-E2. ISSN 0028-0836

الإتاحة: https://doi.org/10.1038/s41586-023-06654-9Test
https://eprints.whiterose.ac.uk/204976Test/
https://eprints.whiterose.ac.uk/204976/1/s41586-023-06654-9.pdfTest

المؤلفون: Delavaux, C.S., Crowther, T.W., Zohner, C.M., Robmann, N.M., Lauber, T., van den Hoogen, J., Kuebbing, S., Liang, J., de-Miguel, S., Nabuurs, G.J., Reich, P.B., Abegg, M., Adou Yao, Y.C., Alberti, G., Almeyda Zambrano, A.M., Alvarado, B.V., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L.F., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G.A., Baker, T.R., Bałazy, R., Banki, O., Barroso, J.G., Bastian, M.L., Bastin, J.F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P.H.S., Brandl, S., Brienen, R., Broadbent, E.N., Bruelheide, H., Bussotti, F., Gatti, R.C., César, R.G., Cesljar, G., Chazdon, R., Chen, H.Y.H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G.D., Coomes, D.A., Cornejo Valverde, F., Corral-Rivas, J.J., Crim, P.M., Cumming, J.R., Dayanandan, S., de Gasper, A.L., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Engone Obiang, N.L., Enquist, B.J., Eyre, T.J., Fandohan, A.B., Fayle, T.M., Feldpausch, T.R., Ferreira, L.V., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J.G.P., Gianelle, D., Glick, H.B., Harris, D.J., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J.L., Herold, M., Hillers, A., Honorio Coronado, E.N., Hui, C., Ibanez, T.T., Amaral, I., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Johannsen, V.K., Joly, C.A., Jucker, T., Jung, I., Karminov, V.

الوصف: Determining the drivers of non-native plant invasions is critical for managing native ecosystems and limiting the spread of invasive species1,2. Tree invasions in particular have been relatively overlooked, even though they have the potential to transform ecosystems and economies3,4. Here, leveraging global tree databases5–7, 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.

وصف الملف: text

العلاقة: https://eprints.whiterose.ac.uk/203118/9/s41586-023-06440-7.pdfTest; Delavaux, C.S. orcid.org/0000-0002-8340-2173 , Crowther, T.W., Zohner, C.M. et al. (97 more authors) (2023) Native diversity buffers against severity of non-native tree invasions. Nature, 621 (7980). pp. 773-781. ISSN 0028-0836

الإتاحة: https://eprints.whiterose.ac.uk/203118Test/
https://eprints.whiterose.ac.uk/203118/9/s41586-023-06440-7.pdfTest

المؤلفون: Delavaux, C., Crowther, T., Zohner, C., Robmann, N., Lauber, T., van den Hoogen, J., Kuebbing, S., Liang, J., de-Miguel, S., Nabuurs, G.-J., Reich, P.B., Abegg, M., Adou Yao, Y.C., Alberti, G., Almeyda Zambrano, A.M., Alvarado, B.V., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L.F., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G.A., Baker, T.R., Bałazy, R., Banki, O., Barroso, J.G., Bastian, M.L., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P.H.S., Brandl, S., Brienen, R., Broadbent, E.N., Bruelheide, H., Bussotti, F., Gatti, R.C., César, R.G., Cesljar, G., Chazdon, R., Chen, H.Y.H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G.D., Coomes, D.A., Cornejo Valverde, F., Corral-Rivas, J.J., Crim, P.M., Cumming, J.R., Dayanandan, S., de Gasper, A.L., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Engone Obiang, N.L., Enquist, B.J., Eyre, T.J., Fandohan, A.B., Fayle, T.M., Feldpausch, T.R., Ferreira, L.V., Fischer, M., Fletcher, C., Frizzera, L., Gamarra, J.G.P., Gianelle, D., Glick, H.B., Harris, D.J., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J.L., Herold, M., Hillers, A., Honorio Coronado, E.N., Hui, C., Ibanez, T.T., Amaral, I., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Johannsen, V.K., Joly, C.A., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D.K., Kepfer-Rojas, S., Keppel, G., Khan, M.L., Killeen, T.J., Kim, H.S., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S.L., Lu, H., Lukina, N.V., Maitner, B.S., Malhi, Y., Marcon, E., Marimon, B.S., Marimon-Junior, B.H., Marshall, A.R., Martin, E.H., Martynenko, O., Meave, J.A., Melo-Cruz, O., Mendoza, C., Merow, C., Mendoza, A.M., Moreno, V.S., Mukul, S.A., Mundhenk, P., Nava-Miranda, M.G., 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., 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., 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., Stanislaw, M., 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., Do, T.V., van Nuland, M., Vasquez, R., Verbeeck, H., Viana, H., Vibrans, A., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J., Werner, G., Wiser, S.K., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo-Bi, I., Maynard, D.

الوصف: Determining the drivers of non-native plant invasions is critical for managing native ecosystems and limiting the spread of invasive species1,2. Tree invasions in particular have been relatively overlooked, even though they have the potential to transform ecosystems and economies3,4. Here, leveraging global tree databases5-7, 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.

وصف الملف: text

العلاقة: https://pure.iiasa.ac.at/id/eprint/19023/1/s41586-023-06440-7.pdfTest; Delavaux, C., Crowther, T., Zohner, C., Robmann, N., Lauber, T., van den Hoogen, J., Kuebbing, S., Liang, J., et al. (2023). Native diversity buffers against severity of non-native tree invasions. Nature 621 773-781. 10.1038/s41586-023-06440-7 .

الإتاحة: https://doi.org/10.1038/s41586-023-06440-7Test
https://pure.iiasa.ac.at/id/eprint/19023Test/
https://pure.iiasa.ac.at/id/eprint/19023/1/s41586-023-06440-7.pdfTest

المؤلفون: Duncanson, L., Kellner, .J.R., Armston, J., Dubayah, R., Minor, D.M., Hancock, S., Healey, S.P., Patterson, P.L., Saarela, S., Marselis, S., Silva, C.E., Bruening, J., Goetz, S.J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K., Alonso, A., Andersen, H.E., Aplin, P., Baker, T.R., Barbier, N., Bastin, J.F., Biber, P., Boeckx, P., Bogaert, J., Boschetti, L., Boucher, P.B., Boyd, D.S., Burslem, D.F.R.P., Calvo-Rodriguez, S., Chave, J., Chazdon, R.L., Clark, D.B., Clark, D.A., Cohen, W.B., Coomes, D.A., Corona, P., Cushman, K.C., Cutler, M.E.J., Dalling, J.W., Dalponte, M., Dash, J., de-Miguel, S., Deng, S., Ellis, P.W., Erasmus, B., Fekety, P.A., Fernandez-Landa, A., Ferraz, A., Fischer, R., Fisher, A.G., García-Abril, A., Gobakken, T., Hacker, J.M., Heurich, M., Hill, R.A., Hopkinson, C., Huang, H., Hubbell, S.P., Hudak, A.T., Huth, A., Imbach, B., Jeffery, K.J., Katoh, M., Kearsley, E., Kenfack, D, Kljun, N., Knapp, N., Král, K., Krůček, M., Labrière, N., Lewis, S.L., Longo, M. R., Lucas, R.M., Main, R., Manzanera, J.A., Martínez, R.V., Mathieu, R., Memiaghe, H., Meyer, V., Mendoza, A.M., Monerris, A., Montesano, P., Morsdorf, F., Næsset, E., Naidoo, L., Nilus, R., O'Brien, M., Orwig, D.A., Papathanassiou, K., Parker, G., Philipson, C., Phillips, O.L., Pisek, J., Poulsen, J.R., Pretzsch, H., Rüdiger, C.

الوصف: NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI's footprint-level (~25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies, and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI's waveform-to-biomass models take the form of parametric Ordinary Least Squares (OLS) models with simulated Relative Height (RH) metrics as predictor variables. From an exhaustive set of candidate models, we selected the best input predictor variables, and data transformations for each geographic stratum in the GEDI domain to produce a set of comprehensive predictive footprint-level models. We found that model selection frequently favored combinations of RH metrics at the 98th, 90th, 50th, and 10th height above ground-level percentiles (RH98, RH90, RH50, and RH10, respectively), but that inclusion of lower RH metrics (e.g. RH10) did not markedly improve model performance. Second, forced inclusion of RH98 in all models was important and did not degrade model performance, and the best performing models were parsimonious, typically having only 1-3 predictors. Third, stratification by geographic domain (PFT, geographic region) improved model performance in comparison to global models without stratification. Fourth, for the vast majority of strata, the best performing models were fit using square root transformation of field AGBD and/or height metrics. There was ...

وصف الملف: application/pdf

العلاقة: https://eprints.bournemouth.ac.uk/36562/1/1-s2.0-S0034425721005654-main.pdfTest; Duncanson, L., Kellner, .J.R., Armston, J., Dubayah, R., Minor, D.M., Hancock, S., Healey, S.P., Patterson, P.L., Saarela, S., Marselis, S., Silva, C.E., Bruening, J., Goetz, S.J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K., Alonso, A., Andersen, H.E., Aplin, P., Baker, T.R., Barbier, N., Bastin, J.F., Biber, P., Boeckx, P., Bogaert, J., Boschetti, L., Boucher, P.B., Boyd, D.S., Burslem, D.F.R.P., Calvo-Rodriguez, S., Chave, J., Chazdon, R.L., Clark, D.B., Clark, D.A., Cohen, W.B., Coomes, D.A., Corona, P., Cushman, K.C., Cutler, M.E.J., Dalling, J.W., Dalponte, M., Dash, J., de-Miguel, S., Deng, S., Ellis, P.W., Erasmus, B., Fekety, P.A., Fernandez-Landa, A., Ferraz, A., Fischer, R., Fisher, A.G., García-Abril, A., Gobakken, T., Hacker, J.M., Heurich, M., Hill, R.A., Hopkinson, C., Huang, H., Hubbell, S.P., Hudak, A.T., Huth, A., Imbach, B., Jeffery, K.J., Katoh, M., Kearsley, E., Kenfack, D, Kljun, N., Knapp, N., Král, K., Krůček, M., Labrière, N., Lewis, S.L., Longo, M. R., Lucas, R.M., Main, R., Manzanera, J.A., Martínez, R.V., Mathieu, R., Memiaghe, H., Meyer, V., Mendoza, A.M., Monerris, A., Montesano, P., Morsdorf, F., Næsset, E., Naidoo, L., Nilus, R., O'Brien, M., Orwig, D.A., Papathanassiou, K., Parker, G., Philipson, C., Phillips, O.L., Pisek, J., Poulsen, J.R., Pretzsch, H. and Rüdiger, C., 2022. Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270 (March), 112845.

الإتاحة: http://eprints.bournemouth.ac.uk/36562Test/
https://eprints.bournemouth.ac.uk/36562/1/1-s2.0-S0034425721005654-main.pdfTest

المؤلفون: Díaz, S., Kattge, J., Cornelissen, J.H.C., Wright, I.J., Lavorel, S., Dray, S., Reu, B., Kleyer, M., Wirth, C., Prentice, I.C., Garnier, E., Bönisch, G., Westoby, M., Poorter, H., Reich, P.B., Moles, A.T., Dickie, J., Zanne, A.E., Chave, J., Wright, S.J., Sheremetiev, S.N., Jactel, H., Baraloto, C., Cerabolini, B.E.L., Pierce, S., Shipley, B., Casanoves, F., Joswig, J.S., Günther, A., Falczuk, V., Mahecha, M.D., Gorné, L.D., Amiaud, B., Atkin, O.K., Bahn, M., Baldocchi, D., Beckmann, Michael, Blonder, B., Bond, W., Bond-Lamberty, B., Brown, K., Burrascano, S., Byun, C., Campetella, G., Cavender-Bares, J., Stuart Chapin III, F., Choat, B., Coomes, D.A., Cornwell, W.K., Craine, J., Craven, D., Dainese, M., de Araujo, A.C., de Vries, F.T., Ferreira Domingues, T., Enquist, B.J., Fagúndez, J., Fang, J., Fernández-Méndez, F., Fernandez-Piedade, M.T., Ford, H., Forey, E., Freschet, G.T., Gachet, S., Gallagher, R., Green, W., Guerin, G.R., Gutiérrez, A.G., Harrison, S.P., Hattingh, W.N., He, T., Hickler, T., Higgins, S.I., Higuchi, P., Ilic, J., Jackson, R.B., Jalili, A., Jansen, S., Koike, F., König, C., Kraft, N., Kramer, K., Kreft, H., Kühn, Ingolf, Kurokawa, H., Lamb, E.G., Laughlin, D.C., Leishman, M., Lewis, S., Louault, F., Malhado, A.C.M., Manning, P., Meir, P., Mencuccini, M., Messier, J., Miller, R., Minden, V., Molofsky, J., Montgomery, R., Montserrat-Martí, G.

المصدر: ISSN: 2052-4463.

مصطلحات موضوعية: Biodiversity, Biogeography, Macroecology

الوصف: Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date. Measurement(s) plant trait Technology Type(s) various Factor Type(s) none Sample Characteristic - Organism Tracheophyta Sample Characteristic - Environment natural environment Sample Characteristic - Location global

وصف الملف: application/pdf

العلاقة: https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=26941Test; https://dx.doi.org/10.1038/s41597-022-01774-9Test

الإتاحة: https://doi.org/10.1038/s41597-022-01774-9Test
https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=26941Test

المؤلفون: 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., Woodall, C.W., Svenning, J.-C., Jucker, T., Bastin, J.-F., Wiser, S.K., Slik, F., Hérault, B., Alberti, G., Keppel, G., Hengeveld, G.M., Ibisch, P.L., Silva, C.A., ter Steege, H., Peri, P.L., Coomes, D.A., Searle, E.B., von Gadow, K., Jaroszewicz, B., Abbasi, A.O., Abegg, 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., 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., Bauters, M., Beeckman, H., Benu, N.M.H., Bitariho, R., Boeckx, P., Bogaert, J., Bongers, F., Bouriaud, O., Brancalion, P.H.S., Brandl, S., 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., 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., 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., Fayle, T.M., Feunang, L.F.N., Finér, L., Fischer, M., Fridman, J., Frizzera, Lorenzo., de Gasper, A.L., Gianelle, D., Glick, H.B., Gonzalez-Elizondo, M.S., Gorenstein, Lev., Habonayo, R., Hardy, O.J., Harris, D.J., Hector, A., Hemp, A., Herold, M., Hillers, A., Hubau, W., Ibanez, T., Imai, N., Imani, G., Jagodzinski, A.M., Janecek, S., Johannsen, V.K., Joly, C.A., Jumbam, B., Kabelong, B. L. P. R., Kahsay, G.A., Karminov, V., Kartawinata, K., Kassi, J.ustin N., Kearsley, E., Kennard, D.K., Kepfer-Rojas, S., Khan, M. L., Kigomo, J.N., Kim, H.S., Klauberg, C., Klomberg, Y., Korjus, H., Kothandaraman, S., Kraxner, F., Kumar, A., Kuswandi, R., Lang, M., Lawes, M.J., Leite, R.V., Lentner, G., Lewis, S.L., Libalah, M.B., Lisingo, Janvier, López-Serrano, P.M., Lu, H., Lukina, N.V., Lykke, A.M., Maicher, V., Maitner, B.S., Marcon, E., 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., 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., 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., Parthasarathy, N., Pfautsch, S., Phillips, O. L., Piedade, M.T. F., Piotto, D., Pollastrini, M., Poorter, L., Poulsen, J. R., Poulsen, A.D., Pretzsch, H., Rodeghiero, M., Rolim, S.G., Rovero, F., Rutishauser, E., Sagheb-Talebi, K., Saikia, P., Sainge, M.N., Salas-Eljatib, C., Salis, A., Schall, P., Shchepashchenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Šebeň, V., Sellan, G., Selvi, F., Serra-Diaz, J.M., Sheil, D., Shvidenko, A., Sist, P., Souza, A.F., Stereńczak, K.J., Sullivan, M. J. P., Sundarapandian, S., Svoboda, M., Swaine, M.D., Targhetta, N., Tchebakova, N., Trethowan, L.A., Tropek, R., Mukendi, J.T., Umunay, P.M., Usoltsev, V.A., Vaglio Laurin, G., Valentini, R., Valladares, F., van der Plas, F., Vega-Nieva, D.J., Verbeeck, H., Viana, H., Vibrans, A.C., Vieira, S.A., Vleminckx, J., Waite, C.E., Wang, H.-F., Wasingya, E.K., Wekesa, C., Westerlund, B., Wittmann, F., Wortel, V., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhu, J., Zhu, X., Zhu, Z.-X., Zo-Bi, I.C., Hui, C.

الوصف: 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.

وصف الملف: text

العلاقة: https://pure.iiasa.ac.at/id/eprint/18160/1/Liang_NEE_2022_preprint.pdfTest; Liang, J., Gamarra, J.G.P., Picard, N., Zhou, M., Pijanowski, B., Jacobs, D.F., Reich, P.B., Crowther, T.W., et al. (2022). Co-limitation towards lower latitudes shapes global forest diversity gradients. Nature Ecology & Evolution 6 1423-1437. 10.1038/s41559-022-01831-x .

الإتاحة: https://doi.org/10.1038/s41559-022-01831-xTest
https://pure.iiasa.ac.at/id/eprint/18160Test/
https://pure.iiasa.ac.at/id/eprint/18160/1/Liang_NEE_2022_preprint.pdfTest

المؤلفون: Aguirre-Gutiérrez, J., Rifai, S., Shenkin, A., Oliveras, I., Bentley, L.P., Svátek, M., Girardin, C.A.J., Both, S., Riutta, T., Berenguer, E., Kissling, W.D., Bauman, D., Raab, N., Moore, S., Farfan-Rios, W., Figueiredo, A.E.S., Reis, S.M., Ndong, J.E., Ondo, F.E., N'ssi Bengone, N., Mihindou, V., Moraes de Seixas, M.M., Adu-Bredu, S., Abernethy, K., Asner, G.P., Barlow, J., Burslem, D.F.R.P., Coomes, D.A., Cernusak, L.A., Dargie, G.C., Enquist, B.J., Ewers, R.M., Ferreira, J., Jeffery, K.J., Joly, C.A., Lewis, S.L., Marimon-Junior, B.H., Martin, R.E., Morandi, P.S., Phillips, O.L., Quesada, C.A., Salinas, N., Schwantes Marimon, B., Silman, M., Teh, Y.A., White, L.J.T., Malhi, Y.

الوصف: Tropical forest ecosystems are undergoing rapid transformation as a result of changing environmental conditions and direct human impacts. However, we cannot adequately understand, monitor or simulate tropical ecosystem responses to environmental changes without capturing the high diversity of plant functional characteristics in the species-rich tropics. Failure to do so can oversimplify our understanding of ecosystems responses to environmental disturbances. Innovative methods and data products are needed to track changes in functional trait composition in tropical forest ecosystems through time and space. This study aimed to track key functional traits by coupling Sentinel-2 derived variables with a unique data set of precisely located in-situ measurements of canopy functional traits collected from 2434 individual trees across the tropics using a standardised methodology. The functional traits and vegetation censuses were collected from 47 field plots in the countries of Australia, Brazil, Peru, Gabon, Ghana, and Malaysia, which span the four tropical continents. The spatial positions of individual trees above 10 cm diameter at breast height (DBH) were mapped and their canopy size and shape recorded. Using geo-located tree canopy size and shape data, community-level trait values were estimated at the same spatial resolution as Sentinel-2 imagery (i.e. 10 m pixels). We then used the Geographic Random Forest (GRF) to model and predict functional traits across our plots. We demonstrate that key plant functional traits can be accurately predicted across the tropicsusing the high spatial and spectral resolution of Sentinel-2 imagery in conjunction with climatic and soil information. Image textural parameters were found to be key components of remote sensing information for predicting functional traits across tropical forests and woody savannas. Leaf thickness (R2 = 0.52) obtained the highest prediction accuracy among the morphological and structural traits and leaf carbon content (R2 = 0.70) and maximum rates of ...

وصف الملف: text

العلاقة: https://eprints.lancs.ac.uk/id/eprint/149321/1/Sentinel_Aguirre_etal_v240920_main_wFigsTables.pdfTest; https://eprints.lancs.ac.uk/id/eprint/149321/2/Sentinel_Aguirre_etal_v030920_SI_REVIEWED.pdfTest; Aguirre-Gutiérrez, J. and Rifai, S. and Shenkin, A. and Oliveras, I. and Bentley, L.P. and Svátek, M. and Girardin, C.A.J. and Both, S. and Riutta, T. and Berenguer, E. and Kissling, W.D. and Bauman, D. and Raab, N. and Moore, S. and Farfan-Rios, W. and Figueiredo, A.E.S. and Reis, S.M. and Ndong, J.E. and Ondo, F.E. and N'ssi Bengone, N. and Mihindou, V. and Moraes de Seixas, M.M. and Adu-Bredu, S. and Abernethy, K. and Asner, G.P. and Barlow, J. and Burslem, D.F.R.P. and Coomes, D.A. and Cernusak, L.A. and Dargie, G.C. and Enquist, B.J. and Ewers, R.M. and Ferreira, J. and Jeffery, K.J. and Joly, C.A. and Lewis, S.L. and Marimon-Junior, B.H. and Martin, R.E. and Morandi, P.S. and Phillips, O.L. and Quesada, C.A. and Salinas, N. and Schwantes Marimon, B. and Silman, M. and Teh, Y.A. and White, L.J.T. and Malhi, Y. (2021) Pantropical modelling of canopy functional traits using Sentinel-2 remote sensing data. Remote Sensing of Environment, 252. ISSN 0034-4257

الإتاحة: https://doi.org/10.1016/j.rse.2020.112122Test
https://eprints.lancs.ac.uk/id/eprint/149321Test/
https://eprints.lancs.ac.uk/id/eprint/149321/1/Sentinel_Aguirre_etal_v240920_main_wFigsTables.pdfTest
https://eprints.lancs.ac.uk/id/eprint/149321/2/Sentinel_Aguirre_etal_v030920_SI_REVIEWED.pdfTest