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1. Reading tea leaves worldwide: Decoupled drivers of initial litter decomposition mass-loss rate and stabilization

Author

Sarneel, J.M., Hefting, M.M., Sandén, T., van den Hoogen, J., Routh, D., Adhikari, B.S., Alatalo, J.M., Aleksanyan, A., Althuizen, I.H.J., Rebmann, Corinna, Scheffers, B.R., Schmidt, I., et al., Sarneel, J.M., Hefting, M.M., Sandén, T., van den Hoogen, J., Routh, D., Adhikari, B.S., Alatalo, J.M., Aleksanyan, A., Althuizen, I.H.J., Rebmann, Corinna, Scheffers, B.R., and Schmidt, I., et al.

Abstract

The breakdown of plant material fuels soil functioning and biodiversity. Currently, process understanding of global decomposition patterns and the drivers of such patterns are hampered by the lack of coherent large-scale datasets. We buried 36,000 individual litterbags (tea bags) worldwide and found an overall negative correlation between initial mass-loss rates and stabilization factors of plant-derived carbon, using the Tea Bag Index (TBI). The stabilization factor quantifies the degree to which easy-to-degrade components accumulate during early-stage decomposition (e.g. by environmental limitations). However, agriculture and an interaction between moisture and temperature led to a decoupling between initial mass-loss rates and stabilization, notably in colder locations. Using TBI improved mass-loss estimates of natural litter compared to models that ignored stabilization. Ignoring the transformation of dead plant material to more recalcitrant substances during early-stage decomposition, and the environmental control of this transformation, could overestimate carbon losses during early decomposition in carbon cycle models.

Published
2024

2. Reading tea leaves worldwide: Decoupled drivers of initial litter decomposition mass‐loss rate and stabilization

Author

Sarneel, J., Hefting, M., Sandén, T., van den Hoogen, J., Routh, D., Adhikari, B., Alatalo, J., Aleksanyan, A., Althuizen, I., Alsafran, M., Atkins, J., Augusto, L., Aurela, M., Azarov, A., Barrio, I., Beier, C., Bejarano, M., Benham, S., Berg, B., Bezler, N., Björnsdóttir, K., Bolinder, M., Carbognani, M., Cazzolla Gatti, R., Chelli, S., Chistotin, M., Christiansen, C., Courtois, P., Crowther, T., Dechoum, M., Djukic, I., Duddigan, S., Egerton‐Warburton, L., Fanin, N., Fantappiè, M., Fares, S., Fernandes, G., Filippova, N., Fliessbach, A., Fuentes, D., Godoy, R., Grünwald, T., Guzmán, G., Hawes, J., He, Y., Hero, J.‐M., Hess, L., Hogendoorn, K., Høye, T., Jans, W., Jónsdóttir, I., Keller, S., Kepfer‐Rojas, S., Kuz'menko, N., Larsen, K., Laudon, H., Lembrechts, J., Li, J., Limousin, J.‐M., Lukin, S., Marques, R., Marín, C., McDaniel, M., Meek, Q., Merzlaya, G., Michelsen, A., Montagnani, L., Mueller, P., Murugan, R., Myers‐Smith, I., Nolte, S., Ochoa‐Hueso, R., Okafor, B., Okorkov, V., Onipchenko, V., Orozco, M., Parkhurst, T., Peres, C., Petit Bon, M., Petraglia, A., Pingel, M., Rebmann, C., Scheffers, B., Schmidt, I., Scholes, M., Sheffer, E., Shevtsova, L., Smith, S., Sofo, A., Stevenson, P., Strouhalová, B., Sundsdal, A., Sühs, R., Tamene, G., Thomas, H., Tolunay, D., Tomaselli, M., Tresch, S., Tucker, D., Ulyshen, M., Valdecantos, A., Vandvik, V., Vanguelova, E., Verheyen, K., Wang, X., Yahdjian, L., Yumashev, X., Keuskamp, J., Sarneel, J., Hefting, M., Sandén, T., van den Hoogen, J., Routh, D., Adhikari, B., Alatalo, J., Aleksanyan, A., Althuizen, I., Alsafran, M., Atkins, J., Augusto, L., Aurela, M., Azarov, A., Barrio, I., Beier, C., Bejarano, M., Benham, S., Berg, B., Bezler, N., Björnsdóttir, K., Bolinder, M., Carbognani, M., Cazzolla Gatti, R., Chelli, S., Chistotin, M., Christiansen, C., Courtois, P., Crowther, T., Dechoum, M., Djukic, I., Duddigan, S., Egerton‐Warburton, L., Fanin, N., Fantappiè, M., Fares, S., Fernandes, G., Filippova, N., Fliessbach, A., Fuentes, D., Godoy, R., Grünwald, T., Guzmán, G., Hawes, J., He, Y., Hero, J.‐M., Hess, L., Hogendoorn, K., Høye, T., Jans, W., Jónsdóttir, I., Keller, S., Kepfer‐Rojas, S., Kuz'menko, N., Larsen, K., Laudon, H., Lembrechts, J., Li, J., Limousin, J.‐M., Lukin, S., Marques, R., Marín, C., McDaniel, M., Meek, Q., Merzlaya, G., Michelsen, A., Montagnani, L., Mueller, P., Murugan, R., Myers‐Smith, I., Nolte, S., Ochoa‐Hueso, R., Okafor, B., Okorkov, V., Onipchenko, V., Orozco, M., Parkhurst, T., Peres, C., Petit Bon, M., Petraglia, A., Pingel, M., Rebmann, C., Scheffers, B., Schmidt, I., Scholes, M., Sheffer, E., Shevtsova, L., Smith, S., Sofo, A., Stevenson, P., Strouhalová, B., Sundsdal, A., Sühs, R., Tamene, G., Thomas, H., Tolunay, D., Tomaselli, M., Tresch, S., Tucker, D., Ulyshen, M., Valdecantos, A., Vandvik, V., Vanguelova, E., Verheyen, K., Wang, X., Yahdjian, L., Yumashev, X., and Keuskamp, J.

Abstract

The breakdown of plant material fuels soil functioning and biodiversity. Currently, process understanding of global decomposition patterns and the drivers of such patterns are hampered by the lack of coherent large-scale datasets. We buried 36,000 individual litterbags (tea bags) worldwide and found an overall negative correlation between initial mass-loss rates and stabilization factors of plant-derived carbon, using the Tea Bag Index (TBI). The stabilization factor quantifies the degree to which easy-to-degrade components accumulate during early-stage decomposition (e.g. by environmental limitations). However, agriculture and an interaction between moisture and temperature led to a decoupling between initial mass-loss rates and stabilization, notably in colder locations. Using TBI improved mass-loss estimates of natural litter compared to models that ignored stabilization. Ignoring the transformation of dead plant material to more recalcitrant substances during early-stage decomposition, and the environmental control of this transformation, could overestimate carbon losses during early decomposition in carbon cycle models.

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

Author

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

Abstract

Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system1. Remote-sensing estimates to quantify carbon losses from global forests2–5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced6 and satellite-derived approaches2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151–363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets.

Published
2023

8. The biogeography of relative abundance of soil fungi versus bacteria in surface topsoil

Author

Yu, Kailiang, van den Hoogen, Johan, Wang, Z., Averill, C., Routh, D., Smith, Gabriel Reuben, Drenovsky, R. E., Scow, K. M., Mo, F., Waldrop, M. P., Yang, Yuanhe, Tang, W., De Vries, F. T., Bardgett, R. D., Manning, P., Bastida, F., Baer, S. G., Bach, E. M., García, C., Wang, Qingkui, Ma, L., Chen, B., He, X., Teurlincx, S., Heijboer, Amber, Bradley, J. A., Crowther, T. W., Yu, Kailiang, van den Hoogen, Johan, Wang, Z., Averill, C., Routh, D., Smith, Gabriel Reuben, Drenovsky, R. E., Scow, K. M., Mo, F., Waldrop, M. P., Yang, Yuanhe, Tang, W., De Vries, F. T., Bardgett, R. D., Manning, P., Bastida, F., Baer, S. G., Bach, E. M., García, C., Wang, Qingkui, Ma, L., Chen, B., He, X., Teurlincx, S., Heijboer, Amber, Bradley, J. A., and Crowther, T. W.

Abstract

Fungi and bacteria are the two dominant groups of soil microbial communities worldwide. By controlling the turnover of soil organic matter, these organisms directly regulate the cycling of carbon between the soil and the atmosphere. Fundamental differences in the physiology and life history of bacteria and fungi suggest that variation in the biogeography of relative abundance of soil fungi versus bacteria could drive striking differences in carbon decomposition and soil organic matter formation between different biomes. However, a lack of global and predictive information on the distribution of these organisms in terrestrial ecosystems has prevented the inclusion of relative abundance of soil fungi versus bacteria and the associated processes in global biogeochemical models. Here, we used a global-scale dataset of >3000 distinct observations of abundance of soil fungi versus bacteria in the surface topsoil (up to 15 cm) to generate the first quantitative and high-spatial-resolution (1 km2) explicit map of soil fungal proportion, defined as fungi/fungi + bacteria, across terrestrial ecosystems. We reveal striking latitudinal trends where fungal dominance increases in cold and high-latitude environments with large soil carbon stocks. There was a strong nonlinear response of fungal dominance to the environmental gradient, i.e., mean annual temperature (MAT) and net primary productivity (NPP). Fungi dominated in regions with low MAT and NPP and bacteria dominated in regions with high MAT and NPP, thus representing slow vs. fast soil energy channels, respectively, a concept with a long history in soil ecology. These high-resolution models provide the first steps towards representing the major soil microbial groups and their functional differences in global biogeochemical models to improve predictions of soil organic matter turnover under current and future climate scenarios. Raw datasets and global maps generated in this study are available at 10.6084/m9.figshare.1955

Published
2022

9. Lowland plant arrival in alpine ecosystems facilitates a decrease in soil carbon content under experimental climate warming

Author

Walker, T., Gavazov, K., Guillaume, T., Lambert, T., Mariotte, P., Routh, D., Signarbieux, C., Block, S., Münkemüller, T., Nomoto, H., Crowther, T., Richter, A., Buttler, A., Alexander, J., Walker, T., Gavazov, K., Guillaume, T., Lambert, T., Mariotte, P., Routh, D., Signarbieux, C., Block, S., Münkemüller, T., Nomoto, H., Crowther, T., Richter, A., Buttler, A., and Alexander, J.

Abstract

Climate warming is releasing carbon from soils around the world, constituting a positive climate feedback. Warming is also causing species to expand their ranges into new ecosystems. Yet, in most ecosystems, whether range expanding species will amplify or buffer expected soil carbon loss is unknown. Here, we used two whole-community transplant experiments and a follow-up glasshouse experiment to determine whether the establishment of herbaceous lowland plants in alpine ecosystems influences soil carbon content under warming. We found that warming (transplantation to low elevation) led to a negligible decrease in alpine soil carbon content, but its effects became significant and 52% ± 31% (mean ± 95% confidence intervals) larger after lowland plants were introduced at low density into the ecosystem. We present evidence that decreases in soil carbon content likely occurred via lowland plants increasing rates of root exudation, soil microbial respiration, and CO2 release under warming. Our findings suggest that warming-induced range expansions of herbaceous plants have the potential to alter climate feedbacks from this system, and that plant range expansions among herbaceous communities may be an overlooked mediator of warming effects on carbon dynamics.

Published
2022

18. A global database of soil nematode abundance and functional group composition [Data paper]

Author

van den Hoogen, J., Geisen, S., Wall, D. H., Wardle, D. A., Traunspurger, W., de Goede, R. G. M., Adams, B. J., Ahmad, W., Ferris, H., Bardgett, R. D., Bonkowski, M., Campos-Herrera, R., Cares, J. E., Caruso, T., Caixeta, L. D., Chen, X. Y., Costa, S. R., Creamer, R., Castro, Jmde, Dam, M., Djigal, D., Escuer, M., Griffiths, B. S., Gutierrez, C., Hohberg, K., Kalinkina, D., Kardol, P., Kergunteuil, A., Korthals, G., Krashevska, V., Kudrin, A. A., Li, Qi, Liang, W. J., Magilton, M., Marais, M., Martin, J. A. R., Matveeva, E., Mayad, E., Mzough, E., Mulder, C., Mullin, P., Neilson, R., Nguyen, T. A. D., Nielsen, U. N., Okada, H., Rius, J. E. P., Pan, K. W., Peneva, V., Pellissier, L., da Silva, J. C. P., Pitteloud, C., Powers, T. O., Powers, K., Quist, C. W., Rasmann, S., Moreno, S. S., Scheu, S., Setala, H., Sushchuk, A., Tiunov, A. V., Trap, Jean, Vestergard, M., Villenave, C., Waeyenberge, L., Wilschut, R. A., Wright, D. G., Keith, A. M., Yang, J. I., Schmidt, O., Bouharroud, R., Ferji, Z., van der Putten, W. H., Routh, D., and Crowther, T. W.

Abstract

Measurement(s)Abundance center dot Nematoda center dot environmental factorTechnology Type(s)Elutriative Centrifugation center dot computational modeling techniqueFactor Type(s)geographic locationSample Characteristic - OrganismNematodaSample Characteristic - Environmentsoil environment center dot climateSample Characteristic - LocationEarth (planet) Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11925843 As the most abundant animals on earth, nematodes are a dominant component of the soil community. They play critical roles in regulating biogeochemical cycles and vegetation dynamics within and across landscapes and are an indicator of soil biological activity. Here, we present a comprehensive global dataset of soil nematode abundance and functional group composition. This dataset includes 6,825 georeferenced soil samples from all continents and biomes. For geospatial mapping purposes these samples are aggregated into 1,933 unique 1-km pixels, each of which is linked to 73 global environmental covariate data layers. Altogether, this dataset can help to gain insight into the spatial distribution patterns of soil nematode abundance and community composition, and the environmental drivers shaping these patterns.

Published
2020

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

Author

Steidinger, B., Crowther, T., Liang, J., Van Nuland, M., Werner, G., Reich, P., Nabuurs, G., de-Miguel, S., Zhou, M., Picard, N., Herault, B., Zhao, X., Zhang, C., Routh, D., Peay, K., Abegg, M., Adou~Yao, C., Alberti, G., Almeyda~Zambrano, A., Alvarez-Davila, E., Alvarez-Loayza, P., Alves, L., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Ba?azy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla~Gatti, R., Cesar, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Condit, R., Coomes, D., Cornejo~Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Fridman, J., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Herbohn, J., Herold, M., Hillers, A., Honorio Coronado, E., Huber, M., Hui, C., Cho, H., Ibanez, T., Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., K{ö}hl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo-Cruz, O., Mendoza, C., Merow, C., Monteagudo~Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez~Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Saner, P., Schall, P., Schelhaas, M., Schepaschenko, D., Scherer-Lorenzen, M., Schmid, B., Sch{ö}ngart, J., Searle, E., Seben, V., Serra-Diaz, J., Salas-Eljatib, C., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stere?czak, K., Svenning, J., Svoboda, M., Targhetta, N., Tchebakova, N., Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valladares, F., van der Plas, F., Van Do, T., Vasquez~Martinez, R., Verbeeck, H., Viana, H., Vieira, S., von Gadow, K., Wang, H., Watson, J., Westerlund, B., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila-Niedzwiecki, T., Zhu, Z., Zo-Bi, I., and Systems Ecology

Subjects
0301 basic medicine, Biogeography, Bos- en Landschapsecologie, 02 engineering and technology, Forest and Nature Conservation Policy, 03 medical and health sciences, Laboratorium voor Plantenveredeling, Laboratory of Geo-information Science and Remote Sensing, Decomposition (computer science), Bos- en Natuurbeleid, Life Science, Forest and Landscape Ecology, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, Vegetatie, Vegetation, Multidisciplinary, Ecology, Published Erratum, 021001 nanoscience & nanotechnology, PE&RC, Forest Ecology and Forest Management, Tree (data structure), Plant Breeding, 030104 developmental biology, Geography, Biometris, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, 0210 nano-technology, Citation
Abstract

In this Letter, the middle initial of author G. J. Nabuurs was omitted, and he should have been associated with an additional affiliation: ‘Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, The Netherlands’ (now added as affiliation 182). In addition, the following two statements have been added to the Supplementary Acknowledgements. (1): ‘We would particularly like to thank The French NFI for the work of the many field teams and engineers, who have made extraordinary efforts to make forest inventory data publicly available.’ (1): ‘Sergio de Miguel benefited from a Serra- Húnter Fellowship provided by the Generalitat of Catalonia.’ Finally, the second sentence of the Methods section should have cited the French NFI, which provided a national forestry database used in our analysis, to read as follows: ‘The GFBi database consists of individual-based data that we compiled from all the regional and national GFBi forest-inventory datasets, including the French NFI (IGN—French National Forest Inventory, raw data, annual campaigns 2005 and following, https://inventaire-forestier.ign.fr/spip.php?rubrique159, site accessed on 01 January 2015)’. All of these errors have been corrected online.

Published
2019

20. Sensitivity of global soil carbon stocks to combined nutrient enrichment.

Author

Crowther, Thomas W., Riggs, C, Lind, E., Borer, Elizabeth T., Seabloom, E.W., Hobbie, S.E., Wubs, E.R.J., Adler, P.B., Firn, J, Gherardini, L., Hagenah, Nicole, Hofmockel, K.S., Knops, J.M.H., Mcculley, R.L., McDougall, A, Peri, Pablo L., Prober, S.M., Stevens, C.J., Routh, D., Crowther, Thomas W., Riggs, C, Lind, E., Borer, Elizabeth T., Seabloom, E.W., Hobbie, S.E., Wubs, E.R.J., Adler, P.B., Firn, J, Gherardini, L., Hagenah, Nicole, Hofmockel, K.S., Knops, J.M.H., Mcculley, R.L., McDougall, A, Peri, Pablo L., Prober, S.M., Stevens, C.J., and Routh, D.

Abstract

Soil stores approximately twice as much carbon as the atmosphere and fluctuations in the size of the soil carbon pool directly influence climate conditions. We used the Nutrient Network global change experiment to examine how anthropogenic nutrient enrichment might influence grassland soil carbon storage at a global scale. In isolation, enrichment of nitrogen and phosphorous had minimal impacts on soil carbon storage. However, when these nutrients were added in combination with potassium and micronutrients, soil carbon stocks changed considerably, with an average increase of 0.04 KgCm−2 year−1 (standard deviation 0.18 KgCm−2 year−1). These effects did not correlate with changes in primary productivity, suggesting that soil carbon decomposition may have been restricted. Although nutrient enrichment caused soil carbon gains most dry, sandy regions, considerable absolute losses of soil carbon may occur in high‐latitude regions that store the majority of the world's soil carbon. These mechanistic insights into the sensitivity of grassland carbon stocks to nutrient enrichment can facilitate biochemical modelling efforts to project carbon cycling under future climate scenarios.

Published
2019

21. Sensitivity of global soil carbon stocks to combined nutrient enrichment

Author

Crowther, Tom, Riggs, C.W., Lind, Eric M., Borer, Elizabeth T., Seabloom, Eric W., Hobbie, Sarah E., Wubs, J., Adler, Peter B., Firn, Jennifer, Gherardi, L., Hagenah, Nicole, Hofmockel, Kirsten S., Knops, Johannes M. H., McCulley, R., MacDougall, Andrew S., Peri, P.L., Prober, Suzanne M., Stevens, Carly Joanne, Routh, D., Crowther, Tom, Riggs, C.W., Lind, Eric M., Borer, Elizabeth T., Seabloom, Eric W., Hobbie, Sarah E., Wubs, J., Adler, Peter B., Firn, Jennifer, Gherardi, L., Hagenah, Nicole, Hofmockel, Kirsten S., Knops, Johannes M. H., McCulley, R., MacDougall, Andrew S., Peri, P.L., Prober, Suzanne M., Stevens, Carly Joanne, and Routh, D.

Abstract

Soil stores approximately twice as much carbon as the atmosphere and fluctuations in the size of the soil carbon pool directly influence climate conditions. We used the Nutrient Network global change experiment to examine how anthropogenic nutrient enrichment might influence grassland soil carbon storage at a global scale. In isolation, enrichment of nitrogen and phosphorous had minimal impacts on soil carbon storage. However, when these nutrients were added in combination with potassium and micronutrients, soil carbon stocks changed considerably, with an average increase of 0.04 KgCm−2 year−1 (standard deviation 0.18 KgCm−2 year−1). These effects did not correlate with changes in primary productivity, suggesting that soil carbon decomposition may have been restricted. Although nutrient enrichment caused soil carbon gains most dry, sandy regions, considerable absolute losses of soil carbon may occur in high‐latitude regions that store the majority of the world's soil carbon. These mechanistic insights into the sensitivity of grassland carbon stocks to nutrient enrichment can facilitate biochemical modelling efforts to project carbon cycling under future climate scenarios.

Published
2019

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

Author

Valladares, Fernando [0000-0002-5374-4682], Steidinger, B.S., Crowther, Thomas Ward, Liang, J., Van Nuland, M.E., Werner, G.D.A., Reich, Peter B., Nabuurs, G., De-Miguel, Sergio, Zhou, M., Picard, N., Hérault, Bruno, Zhao, X., Zhang, C., Routh, D., Peay, K.G. and GFBI Consortium, Valladares, Fernando [0000-0002-5374-4682], Steidinger, B.S., Crowther, Thomas Ward, Liang, J., Van Nuland, M.E., Werner, G.D.A., Reich, Peter B., Nabuurs, G., De-Miguel, Sergio, Zhou, M., Picard, N., Hérault, Bruno, Zhao, X., Zhang, C., Routh, D., and Peay, K.G. and GFBI Consortium

Abstract

[EN] 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, sequester carbon and withstand the effects of climate change. 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, 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 th

Published
2019

23. Sensitivity of global soil carbon stocks to combined nutrient enrichment

Author

Crowther, T. W., primary, Riggs, C., additional, Lind, E. M., additional, Borer, E. T., additional, Seabloom, E. W., additional, Hobbie, S. E., additional, Wubs, J., additional, Adler, P. B., additional, Firn, J., additional, Gherardi, L., additional, Hagenah, N., additional, Hofmockel, K. S., additional, Knops, J. M. H., additional, McCulley, R. L., additional, MacDougall, A. S., additional, Peri, P. L., additional, Prober, S. M., additional, Stevens, C. J., additional, and Routh, D., additional

Published
2019
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24. Improving the reliability of mixture tuned matched filtering remote sensing classification results using supervised learning algorithms and cross-validation

Author

Routh, D., Seegmiller, Lindsi, Bettigole, C., Kuhn, C., Oliver, C. D., Glick, H. B., Routh, D., Seegmiller, Lindsi, Bettigole, C., Kuhn, C., Oliver, C. D., and Glick, H. B.

Abstract

Mixture tuned matched filtering (MTMF) image classification capitalizes on the increasing spectral and spatial resolutions of available hyperspectral image data to identify the presence, and potentially the abundance, of a given cover type or endmember. Previous studies using MTMF have relied on extensive user input to obtain a reliable classification. In this study, we expand the traditional MTMF classification by using a selection of supervised learning algorithms with rigorous cross-validation. Our approach removes the need for subjective user input to finalize the classification, ultimately enhancing replicability and reliability of the results. We illustrate this approach with an MTMF classification case study focused on leafy spurge (Euphorbia esula), an invasive forb in Western North America, using free 30-m hyperspectral data from the National Aeronautics and Space Administration's (NASA) Hyperion sensor. Our protocol shows for our data, a potential overall accuracy inflation between 18.4% and 30.8% without cross-validation and according to the supervised learning algorithm used. We propose this new protocol as a final step for the MTMF classification algorithm and suggest future researchers report a greater suite of accuracy statistics to affirm their classifications' underlying efficacies., QC 20190404

Published
2018
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25. Climate shapes the protein abundance of dominant soil bacteria

Author

Bastida, F., Crowther, T.W., Prieto, I., Routh, D., García, C., Jehmlich, Nico, Bastida, F., Crowther, T.W., Prieto, I., Routh, D., García, C., and Jehmlich, Nico

Abstract

Sensitive models of climate change impacts would require a better integration of multi-omics approaches that connect the abundance and activity of microbial populations. Here, we show that climate is a fundamental driver of the protein abundance of Actinobacteria, Planctomycetes and Proteobacteria, supporting the hypothesis that metabolic activity of some dominant phyla may be closely linked to climate. These results may improve our capacity to construct microbial models that better predict the impact of climate change in ecosystem processes.

Published
2018

31. Brief report: relationship between HIV infection and WPPSI-R performance in preschool-age children.

Author

Fishkin, Peter E., Armstrong, F. Daniel, Routh, Donald K., Harris, Lynnette, Thompson, Winsome, Miloslavich, Katya, Levy, Jacqueline D., Johnson, Arnise, Morrow, Connie, Bandstra, Emmalee S., Mason, Craig A., Scott, Gwendolyn, Fishkin, P E, Armstrong, F D, Routh, D K, Harris, L, Thompson, W, Miloslavich, K, Levy, J D, and Johnson, A

Subjects
HIV infections, INFECTION in children, WECHSLER Preschool & Primary Scale of Intelligence, FOCAL infection
Abstract

Objective: To determine the neurodevelopmental effects of perinatally acquired HIV infection on children of preschool age.Methods: Participants included 40 children infected with HIV between the ages of three and five and an equal number of noninfected controls individually matched according to ethnicity, age, sex, and prenatal drug exposure. Participants were administered the Wechsler Preschool and Primary Scale of Intelligence-Revised (WPPSI-R), upon which an analysis of subtest distribution was conducted.Results: Whereas both groups evidenced mean IQ and subtest scores significantly below published norms, an effect for HIV group status was not found when a factor combining Performance IQ (PIQ) and Verbal IQ (VIQ) was analyzed. However, the group infected with HIV scored significantly lower than controls on the Block Design subtest.Conclusions: Gross cognitive deficits are not evident among preschool children infected with HIV relative to matched controls. However, this study does provides some evidence for more focal deficits. Further investigation with older children should be conducted. [ABSTRACT FROM AUTHOR]

Published
2000
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33. 19750409 Gauntlet Apr 9 1975

Author

Romano, Susan; Jones, Jeff; Chananie, Bob; Pleasants, Sam; McNally, Patty; Hills, Karen; Brousell, David R.; Kozak, K.J.; Parsons, Richard; Keller, Linda; Carr, Thomas; Nocente, Martin; Brody, Robert; Goldberg, Paul; Sokol, Marilyn; Laue, Bruce; Routh, D. Stuart; Robinson, Jeff and Romano, Susan; Jones, Jeff; Chananie, Bob; Pleasants, Sam; McNally, Patty; Hills, Karen; Brousell, David R.; Kozak, K.J.; Parsons, Richard; Keller, Linda; Carr, Thomas; Nocente, Martin; Brody, Robert; Goldberg, Paul; Sokol, Marilyn; Laue, Bruce; Routh, D. Stuart; Robinson, Jeff

Abstract

Vol. 1, No. 17; Teaneck edition; Weekly publication. Certain pages are wrinkled and slightly unreadable.

Published
1975

44. Reading tea leaves worldwide: Decoupled drivers of initial litter decomposition mass-loss rate and stabilization.

Author

Sarneel JM, Hefting MM, Sandén T, van den Hoogen J, Routh D, Adhikari BS, Alatalo JM, Aleksanyan A, Althuizen IHJ, Alsafran MHSA, Atkins JW, Augusto L, Aurela M, Azarov AV, Barrio IC, Beier C, Bejarano MD, Benham SE, Berg B, Bezler NV, Björnsdóttir K, Bolinder MA, Carbognani M, Cazzolla Gatti R, Chelli S, Chistotin MV, Christiansen CT, Courtois P, Crowther TW, Dechoum MS, Djukic I, Duddigan S, Egerton-Warburton LM, Fanin N, Fantappiè M, Fares S, Fernandes GW, Filippova NV, Fliessbach A, Fuentes D, Godoy R, Grünwald T, Guzmán G, Hawes JE, He Y, Hero JM, Hess LL, Hogendoorn K, Høye TT, Jans WWP, Jónsdóttir IS, Keller S, Kepfer-Rojas S, Kuz'menko NN, Larsen KS, Laudon H, Lembrechts JJ, Li J, Limousin JM, Lukin SM, Marques R, Marín C, McDaniel MD, Meek Q, Merzlaya GE, Michelsen A, Montagnani L, Mueller P, Murugan R, Myers-Smith IH, Nolte S, Ochoa-Hueso R, Okafor BN, Okorkov VV, Onipchenko VG, Orozco MC, Parkhurst T, Peres CA, Petit Bon M, Petraglia A, Pingel M, Rebmann C, Scheffers BR, Schmidt I, Scholes MC, Sheffer E, Shevtsova LK, Smith SW, Sofo A, Stevenson PR, Strouhalová B, Sundsdal A, Sühs RB, Tamene G, Thomas HJD, Tolunay D, Tomaselli M, Tresch S, Tucker DL, Ulyshen MD, Valdecantos A, Vandvik V, Vanguelova EI, Verheyen K, Wang X, Yahdjian L, Yumashev XS, and Keuskamp JA

Subjects
Carbon Cycle, Carbon metabolism, Plant Leaves
Abstract

The breakdown of plant material fuels soil functioning and biodiversity. Currently, process understanding of global decomposition patterns and the drivers of such patterns are hampered by the lack of coherent large-scale datasets. We buried 36,000 individual litterbags (tea bags) worldwide and found an overall negative correlation between initial mass-loss rates and stabilization factors of plant-derived carbon, using the Tea Bag Index (TBI). The stabilization factor quantifies the degree to which easy-to-degrade components accumulate during early-stage decomposition (e.g. by environmental limitations). However, agriculture and an interaction between moisture and temperature led to a decoupling between initial mass-loss rates and stabilization, notably in colder locations. Using TBI improved mass-loss estimates of natural litter compared to models that ignored stabilization. Ignoring the transformation of dead plant material to more recalcitrant substances during early-stage decomposition, and the environmental control of this transformation, could overestimate carbon losses during early decomposition in carbon cycle models., (© 2024 The Authors. Ecology Letters published by John Wiley & Sons Ltd.)

Published
2024
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45. 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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46. Building an implementation framework to address unmet contraceptive care needs in a carceral setting: a systematic review.

Author

Routh D, Simmons R, Sanders J, Gero A, Tanner HA, and Turok DK

Abstract

Background: The provision of contraceptive care for incarcerated individuals has been largely inconsistent and has contributed to, at best, inadequate care, and at worst reproductive abuses, violence, and coercion. While previous research has identified strategies to remedy known issues, to date, very few recommendations have been implemented across the carceral system. To address this, we conducted a systematic review of policy and practice recommendations to improve contraceptive care to reproductive-aged, incarcerated individuals in the United States., Methods: We conducted this systematic review utilizing the Joanna Briggs Institute methodology and framed it within the National Implementation Research Network's (NIRN) Exploration stage. We searched PubMed, PSYCInfo, SCOPUS, ProQuest, Web of Science, MedLine, Social Science Citation Index and reference sections of included materials. Basic study information, explicitly stated policy and practice recommendations, and discussions and conclusions that subtly provide recommendations were extracted in full text. We utilized a thematic analysis approach to analyze the extracted text., Results: A total of 45 materials met the inclusion criteria. Seven overarching themes were identified: 1) policy changes needed to implement care; 2) need for contraceptive care in carceral systems; 3) justice agency barriers regarding contraceptive care provision; 4) policy barriers to contraceptive access; 5) funding strategies to improve care; 6) patient preferences for contraceptive care delivery; and 7) healthcare provider knowledge regarding contraceptive care. The seven themes identified shed light on the need for, gaps, barriers, and facilitators of current contraceptive care provision to incarcerated individuals., Conclusion: This systematic review accomplished two goals of NIRN's Exploration stage. First, the compiled evidence identified a clear need for change regarding policies and practices pertaining to contraceptive care provision to incarcerated individuals in the United States. Second, our findings identified several evidence-based solutions supported both by research and professional healthcare organizations to address the identified need for change. This study provides an initial blueprint for correctional agencies to implement the necessary changes for improving contraceptive care provision to incarcerated populations. The correctional system is in a unique position to deliver much-needed care, which would result in many potential benefits to the individuals, correctional system, and community at large., (© 2023. Springer-Verlag GmbH Germany, part of Springer Nature.)

Published
2023
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47. Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes.

Author

Randall RS, Jourdain C, Nowicka A, Kaduchová K, Kubová M, Ayoub MA, Schubert V, Tatout C, Colas I, Kalyanikrishna, Desset S, Mermet S, Boulaflous-Stevens A, Kubalová I, Mandáková T, Heckmann S, Lysak MA, Panatta M, Santoro R, Schubert D, Pecinka A, Routh D, and Baroux C

Subjects
Humans, Workflow, In Situ Hybridization, Fluorescence, Microscopy, Fluorescence, Green Fluorescent Proteins, Cell Nucleus, Chromatin
Abstract

Nucleus, chromatin, and chromosome organization studies heavily rely on fluorescence microscopy imaging to elucidate the distribution and abundance of structural and regulatory components. Three-dimensional (3D) image stacks are a source of quantitative data on signal intensity level and distribution and on the type and shape of distribution patterns in space. Their analysis can lead to novel insights that are otherwise missed in qualitative-only analyses. Quantitative image analysis requires specific software and workflows for image rendering, processing, segmentation, setting measurement points and reference frames and exporting target data before further numerical processing and plotting. These tasks often call for the development of customized computational scripts and require an expertise that is not broadly available to the community of experimental biologists. Yet, the increasing accessibility of high- and super-resolution imaging methods fuels the demand for user-friendly image analysis workflows. Here, we provide a compendium of strategies developed by participants of a training school from the COST action INDEPTH to analyze the spatial distribution of nuclear and chromosomal signals from 3D image stacks, acquired by diffraction-limited confocal microscopy and super-resolution microscopy methods (SIM and STED). While the examples make use of one specific commercial software package, the workflows can easily be adapted to concurrent commercial and open-source software. The aim is to encourage biologists lacking custom-script-based expertise to venture into quantitative image analysis and to better exploit the discovery potential of their images. Abbreviations: 3D FISH: three-dimensional fluorescence in situ hybridization; 3D: three-dimensional; ASY1: ASYNAPTIC 1; CC: chromocenters; CO: Crossover; DAPI: 4',6-diamidino-2-phenylindole; DMC1: DNA MEIOTIC RECOMBINASE 1; DSB: Double-Strand Break; FISH: fluorescence in situ hybridization; GFP: GREEN FLUORESCENT PROTEIN; HEI10: HUMAN ENHANCER OF INVASION 10; NCO: Non-Crossover; NE: Nuclear Envelope; Oligo-FISH: oligonucleotide fluorescence in situ hybridization; RNPII: RNA Polymerase II; SC: Synaptonemal Complex; SIM: structured illumination microscopy; ZMM (ZIP: MSH4: MSH5 and MER3 proteins); ZYP1: ZIPPER-LIKE PROTEIN 1.

Published
2022
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49. Assessing the reliability and validity of the Risk-Need-Responsivity (RNR) program tool.

Author

Ramezani N, Bhati A, Murphy A, Routh D, and Taxman FS

Abstract

Background: Fidelity assessment tools can assess whether a program embraces a core set of principles and performs well. A quality fidelity tool with valid scales can be a feedback loop to identify areas that need further work to improve the program. Using data collected from 1816 correctional and reentry programs in the United States in the construction sample and 761 programs in the confirmation sample, this study examined the internal consistency of the Risk-Need-Responsivity (RNR) Program Tool, an online resource to capture information about structural features of a program., Results: The study reports on reliability statistics and factor analyses to highlight individual subscales. Six scales emerged and had acceptable to excellent levels of internal consistency. These scales are staffing, reward-and-sanction, clinical standards for programs, coaching, program duration, and risk-need assessment., Conclusions: This article discusses fidelity scales from the RNR Program Tool and provides guidance on the importance of tool development processes to ensure accurate, valid, and reliable scales. The purpose of the RNR Program Tool is to create a modern, online tool integrating both the empirical (research) literature on effective practices and clinical standards on quality programming. This process minimizes the need for consultants by giving program administrators the ability to gather information on their programs, score them, and receive instant and targeted feedback with recommendations for improvement to assess their programs against empirical standards in the field. Furthermore, it provides a standardized tool that administrators can use to examine what type of individuals fare better in their programs. The provided targeted feedback can give the programs the ability to seek technical assistance or guidance in specific areas that can strategically strengthen their program., (© 2022. The Author(s).)

Published
2022
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50. Lowland plant arrival in alpine ecosystems facilitates a decrease in soil carbon content under experimental climate warming.

Author

Walker TWN, Gavazov K, Guillaume T, Lambert T, Mariotte P, Routh D, Signarbieux C, Block S, Münkemüller T, Nomoto H, Crowther TW, Richter A, Buttler A, and Alexander JM

Subjects
Carbon, Climate Change, Plants, Soil Microbiology, Ecosystem, Soil
Abstract

Climate warming is releasing carbon from soils around the world, constituting a positive climate feedback. Warming is also causing species to expand their ranges into new ecosystems. Yet, in most ecosystems, whether range expanding species will amplify or buffer expected soil carbon loss is unknown. Here, we used two whole-community transplant experiments and a follow-up glasshouse experiment to determine whether the establishment of herbaceous lowland plants in alpine ecosystems influences soil carbon content under warming. We found that warming (transplantation to low elevation) led to a negligible decrease in alpine soil carbon content, but its effects became significant and 52% ± 31% (mean ± 95% confidence intervals) larger after lowland plants were introduced at low density into the ecosystem. We present evidence that decreases in soil carbon content likely occurred via lowland plants increasing rates of root exudation, soil microbial respiration, and CO 2 release under warming. Our findings suggest that warming-induced range expansions of herbaceous plants have the potential to alter climate feedbacks from this system, and that plant range expansions among herbaceous communities may be an overlooked mediator of warming effects on carbon dynamics., Competing Interests: TW, KG, TG, TL, PM, DR, CS, SB, TM, HN, TC, AR, AB, JA No competing interests declared, (© 2022, Walker et al.)

Published
2022
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