Domain: ESSD – Land | Subject: Biogeosciences and biodiversity
Spatial mapping of key plant functional traits in terrestrial ecosystems across China
Nannan An, Nan Lu, Weiliang Chen, Yongzhe Chen, Hao Shi, Fuzhong Wu, and Bojie Fu
Earth Syst. Sci. Data, 16, 1771–1810,
https://doi.org/10.5194/essd-16-1771-2024, 2024
Short summary
HiQ-LAI: a high-quality reprocessed MODIS leaf area index dataset with better spatiotemporal consistency from 2000 to 2022
Kai Yan, Jingrui Wang, Rui Peng, Kai Yang, Xiuzhi Chen, Gaofei Yin, Jinwei Dong, Marie Weiss, Jiabin Pu, and Ranga B. Myneni
Earth Syst. Sci. Data, 16, 1601–1622,
https://doi.org/10.5194/essd-16-1601-2024, 2024
Short summary
EUPollMap: the European atlas of contemporary pollen distribution maps derived from an integrated Kriging interpolation approach
Fabio Oriani, Gregoire Mariethoz, and Manuel Chevalier
Earth Syst. Sci. Data, 16, 731–742,
https://doi.org/10.5194/essd-16-731-2024, 2024
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Reference maps of soil phosphorus for the pan-Amazon region
João Paulo Darela-Filho, Anja Rammig, Katrin Fleischer, Tatiana Reichert, Laynara Figueiredo Lugli, Carlos Alberto Quesada, Luis Carlos Colocho Hurtarte, Mateus Dantas de Paula, and David M. Lapola
Earth Syst. Sci. Data, 16, 715–729,
https://doi.org/10.5194/essd-16-715-2024, 2024
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Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020
Mengyao Zhu, Junhu Dai, Huanjiong Wang, Juha M. Alatalo, Wei Liu, Yulong Hao, and Quansheng Ge
Earth Syst. Sci. Data, 16, 277–293,
https://doi.org/10.5194/essd-16-277-2024, 2024
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Sensor-independent LAI/FPAR CDR: reconstructing a global sensor-independent climate data record of MODIS and VIIRS LAI/FPAR from 2000 to 2022
Jiabin Pu, Kai Yan, Samapriya Roy, Zaichun Zhu, Miina Rautiainen, Yuri Knyazikhin, and Ranga B. Myneni
Earth Syst. Sci. Data, 16, 15–34,
https://doi.org/10.5194/essd-16-15-2024, 2024
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Investigating limnological processes and modern sedimentation at Lake Żabińskie, northeast Poland: a decade-long multi-variable dataset, 2012–2021
Wojciech Tylmann, Alicja Bonk, Dariusz Borowiak, Paulina Głowacka, Kamil Nowiński, Joanna Piłczyńska, Agnieszka Szczerba, and Maurycy Żarczyński
Earth Syst. Sci. Data, 15, 5093–5103,
https://doi.org/10.5194/essd-15-5093-2023, 2023
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Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020
Sen Cao, Muyi Li, Zaichun Zhu, Zhe Wang, Junjun Zha, Weiqing Zhao, Zeyu Duanmu, Jiana Chen, Yaoyao Zheng, Yue Chen, Ranga B. Myneni, and Shilong Piao
Earth Syst. Sci. Data, 15, 4877–4899,
https://doi.org/10.5194/essd-15-4877-2023, 2023
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TCSIF: A temporally consistent global GOME-2A solar-induced chlorophyll fluorescence dataset with correction of sensor degradation
Chu Zou, Shanshan Du, Xinjie Liu, and Liangyun Liu
Earth Syst. Sci. Data Discuss.,
https://doi.org/10.5194/essd-2023-329, 2023
Revised manuscript accepted for ESSD
Short summary
Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022
Muyi Li, Sen Cao, Zaichun Zhu, Zhe Wang, Ranga B. Myneni, and Shilong Piao
Earth Syst. Sci. Data, 15, 4181–4203,
https://doi.org/10.5194/essd-15-4181-2023, 2023
Short summary
CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada
Parisa Sarzaeim, Francisco Muñoz-Arriola, Diego Jarquin, Hasnat Aslam, and Natalia De Leon Gatti
Earth Syst. Sci. Data, 15, 3963–3990,
https://doi.org/10.5194/essd-15-3963-2023, 2023
Short summary
Quantifying exchangeable base cations in permafrost: a reserve of nutrients about to thaw
Elisabeth Mauclet, Maëlle Villani, Arthur Monhonval, Catherine Hirst, Edward A. G. Schuur, and Sophie Opfergelt
Earth Syst. Sci. Data, 15, 3891–3904,
https://doi.org/10.5194/essd-15-3891-2023, 2023
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Routine monitoring of western Lake Erie to track water quality changes associated with cyanobacterial harmful algal blooms
Anna G. Boegehold, Ashley M. Burtner, Andrew C. Camilleri, Glenn Carter, Paul DenUyl, David Fanslow, Deanna Fyffe sem*nyuk, Casey M. Godwin, Duane Gossiaux, Thomas H. Johengen, Holly Kelchner, Christine Kitchens, Lacey A. Mason, Kelly McCabe, Danna Palladino, Dack Stuart, Henry Vanderploeg, and Reagan Errera
Earth Syst. Sci. Data, 15, 3853–3868,
https://doi.org/10.5194/essd-15-3853-2023, 2023
Short summary
The Portuguese Large Wildfire Spread database (PT-FireSprd)
Akli Benali, Nuno Guiomar, Hugo Gonçalves, Bernardo Mota, Fábio Silva, Paulo M. Fernandes, Carlos Mota, Alexandre Penha, João Santos, José M. C. Pereira, and Ana C. L. Sá
Earth Syst. Sci. Data, 15, 3791–3818,
https://doi.org/10.5194/essd-15-3791-2023, 2023
Short summary
Thirty-meter map of young forest age in China
Yuelong Xiao, Qunming Wang, Xiaohua Tong, and Peter M. Atkinson
Earth Syst. Sci. Data, 15, 3365–3386,
https://doi.org/10.5194/essd-15-3365-2023, 2023
Short summary
GRiMeDB: the Global River Methane Database of concentrations and fluxes
Emily H. Stanley, Luke C. Loken, Nora J. Casson, Samantha K. Oliver, Ryan A. Sponseller, Marcus B. Wallin, Liwei Zhang, and Gerard Rocher-Ros
Earth Syst. Sci. Data, 15, 2879–2926,
https://doi.org/10.5194/essd-15-2879-2023, 2023
Short summary
A gridded dataset of a leaf-age-dependent leaf area index seasonality product over tropical and subtropical evergreen broadleaved forests
Xueqin Yang, Xiuzhi Chen, Jiashun Ren, Wenping Yuan, Liyang Liu, Juxiu Liu, Dexiang Chen, Yihua Xiao, Qinghai Song, Yanjun Du, Shengbiao Wu, Lei Fan, Xiaoai Dai, Yunpeng Wang, and Yongxian Su
Earth Syst. Sci. Data, 15, 2601–2622,
https://doi.org/10.5194/essd-15-2601-2023, 2023
Short summary
Fire weather index data under historical and shared socioeconomic pathway projections in the 6th phase of the Coupled Model Intercomparison Project from 1850 to 2100
Yann Quilcaille, Fulden Batibeniz, Andreia F. S. Ribeiro, Ryan S. Padrón, and Sonia I. Seneviratne
Earth Syst. Sci. Data, 15, 2153–2177,
https://doi.org/10.5194/essd-15-2153-2023, 2023
Short summary
A remote-sensing-based dataset to characterize the ecosystem functioning and functional diversity in the Biosphere Reserve of the Sierra Nevada (southeasternSpain)
Beatriz P. Cazorla, Javier Cabello, Andrés Reyes, Emilio Guirado, Julio Peñas, Antonio J. Pérez-Luque, and Domingo Alcaraz-Segura
Earth Syst. Sci. Data, 15, 1871–1887,
https://doi.org/10.5194/essd-15-1871-2023, 2023
Short summary
A global long-term, high-resolution satellite radar backscatter data record (1992–2022+): merging C-band ERS/ASCAT and Ku-band QSCAT
Shengli Tao, Zurui Ao, Jean-Pierre Wigneron, Sassan Saatchi, Philippe Ciais, Jérôme Chave, Thuy Le Toan, Pierre-Louis Frison, Xiaomei Hu, Chi Chen, Lei Fan, Mengjia Wang, Jiangling Zhu, Xia Zhao, Xiaojun Li, Xiangzhuo Liu, Yanjun Su, Tianyu Hu, Qinghua Guo, Zhiheng Wang, Zhiyao Tang, Yi Y. Liu, and Jingyun Fang
Earth Syst. Sci. Data, 15, 1577–1596,
https://doi.org/10.5194/essd-15-1577-2023, 2023
Short summary
A global database on holdover time of lightning-ignited wildfires
Jose V. Moris, Pedro Álvarez-Álvarez, Marco Conedera, Annalie Dorph, Thomas D. Hessilt, Hugh G. P. Hunt, Renata Libonati, Lucas S. Menezes, Mortimer M. Müller, Francisco J. Pérez-Invernón, Gianni B. Pezzatti, Nicolau Pineda, Rebecca C. Scholten, Sander Veraverbeke, B. Mike Wotton, and Davide Ascoli
Earth Syst. Sci. Data, 15, 1151–1163,
https://doi.org/10.5194/essd-15-1151-2023, 2023
Short summary
National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake
Brendan Byrne, David F. Baker, Sourish Basu, Michael Bertolacci, Kevin W. Bowman, Dustin Carroll, Abhishek Chatterjee, Frédéric Chevallier, Philippe Ciais, Noel Cressie, David Crisp, Sean Crowell, Feng Deng, Zhu Deng, Nicholas M. Deutscher, Manvendra K. Dubey, Sha Feng, Omaira E. García, David W. T. Griffith, Benedikt Herkommer, Lei Hu, Andrew R. Jacobson, Rajesh Janardanan, Sujong Jeong, Matthew S. Johnson, Dylan B. A. Jones, Rigel Kivi, Junjie Liu, Zhiqiang Liu, Shamil Maksyutov, John B. Miller, Scot M. Miller, Isamu Morino, Justus Notholt, Tomohiro Oda, Christopher W. O'Dell, Young-Suk Oh, Hirofumi Ohyama, Prabir K. Patra, Hélène Peiro, Christof Petri, Sajeev Philip, David F. Pollard, Benjamin Poulter, Marine Remaud, Andrew Schuh, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Colm Sweeney, Yao Té, Hanqin Tian, Voltaire A. Velazco, Mihalis Vrekoussis, Thorsten Warneke, John R. Worden, Debra Wunch, Yuanzhi Yao, Jeongmin Yun, Andrew Zammit-Mangion, and Ning Zeng
Earth Syst. Sci. Data, 15, 963–1004,
https://doi.org/10.5194/essd-15-963-2023, 2023
Short summary
Mammals in the Chornobyl Exclusion Zone's Red Forest: a motion-activated camera trap study
Nicholas A. Beresford, Sergii Gashchak, Michael D. Wood, and Catherine L. Barnett
Earth Syst. Sci. Data, 15, 911–920,
https://doi.org/10.5194/essd-15-911-2023, 2023
Short summary
Maps with 1 km resolution reveal increases in above- and belowground forest biomass carbon pools in China over the past 20years
Yongzhe Chen, Xiaoming Feng, Bojie Fu, Haozhi Ma, Constantin M. Zohner, Thomas W. Crowther, Yuanyuan Huang, Xutong Wu, and Fangli Wei
Earth Syst. Sci. Data, 15, 897–910,
https://doi.org/10.5194/essd-15-897-2023, 2023
Short summary
AnisoVeg: anisotropy and nadir-normalized MODIS multi-angle implementation atmospheric correction (MAIAC) datasets for satellite vegetation studies in South America
Ricardo Dalagnol, Lênio Soares Galvão, Fabien Hubert Wagner, Yhasmin Mendes de Moura, Nathan Gonçalves, Yujie Wang, Alexei Lyapustin, Yan Yang, Sassan Saatchi, and Luiz Eduardo Oliveira Cruz Aragão
Earth Syst. Sci. Data, 15, 345–358,
https://doi.org/10.5194/essd-15-345-2023, 2023
Short summary
TiP-Leaf: a dataset of leaf traits across vegetation types on the Tibetan Plateau
Yili Jin, Haoyan Wang, Jie Xia, Jian Ni, Kai Li, Ying Hou, Jing Hu, Linfeng Wei, Kai Wu, Haojun Xia, and Borui Zhou
Earth Syst. Sci. Data, 15, 25–39,
https://doi.org/10.5194/essd-15-25-2023, 2023
Short summary
Forest structure and individual tree inventories of northeastern Siberia along climatic gradients
Timon Miesner, Ulrike Herzschuh, Luidmila A. Pestryakova, Mareike Wieczorek, Evgenii S. Zakharov, Alexei I. Kolmogorov, Paraskovya V. Davydova, and Stefan Kruse
Earth Syst. Sci. Data, 14, 5695–5716,
https://doi.org/10.5194/essd-14-5695-2022, 2022
Short summary
Global climate-related predictors at kilometer resolution for the past and future
Philipp Brun, Niklaus E. Zimmermann, Chantal Hari, Loïc Pellissier, and Dirk Nikolaus Karger
Earth Syst. Sci. Data, 14, 5573–5603,
https://doi.org/10.5194/essd-14-5573-2022, 2022
Short summary
A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020
Shaoyang He, Yongqiang Zhang, Ning Ma, Jing Tian, Dongdong Kong, and Changming Liu
Earth Syst. Sci. Data, 14, 5463–5488,
https://doi.org/10.5194/essd-14-5463-2022, 2022
Short summary
Global land surface 250 m 8 d fraction of absorbed photosynthetically active radiation (FAPAR) product from 2000 to 2021
Han Ma, Shunlin Liang, Changhao Xiong, Qian Wang, Aolin Jia, and Bing Li
Earth Syst. Sci. Data, 14, 5333–5347,
https://doi.org/10.5194/essd-14-5333-2022, 2022
Short summary
Rates and timing of chlorophyll-a increases and related environmental variables in global temperate and cold-temperate lakes
Hannah Adams, Jane Ye, Bhaleka D. Persaud, Stephanie Slowinski, Homa Kheyrollah Pour, and Philippe Van Cappellen
Earth Syst. Sci. Data, 14, 5139–5156,
https://doi.org/10.5194/essd-14-5139-2022, 2022
Short summary
Harmonized gap-filled datasets from 20 urban flux tower sites
Mathew Lipson, Sue Grimmond, Martin Best, Winston T. L. Chow, Andreas Christen, Nektarios Chrysoulakis, Andrew Coutts, Ben Crawford, Stevan Earl, Jonathan Evans, Krzysztof Fortuniak, Bert G. Heusinkveld, Je-Woo Hong, Jinkyu Hong, Leena Järvi, Sungsoo Jo, Yeon-Hee Kim, Simone Kotthaus, Keunmin Lee, Valéry Masson, Joseph P. McFadden, Oliver Michels, Wlodzimierz Pawlak, Matthias Roth, Hirofumi Sugawara, Nigel Tapper, Erik Velasco, and Helen Claire Ward
Earth Syst. Sci. Data, 14, 5157–5178,
https://doi.org/10.5194/essd-14-5157-2022, 2022
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Holocene spatiotemporal millet agricultural patterns in northern China: a dataset of archaeobotanical macroremains
Keyang He, Houyuan Lu, Jianping Zhang, and Can Wang
Earth Syst. Sci. Data, 14, 4777–4791,
https://doi.org/10.5194/essd-14-4777-2022, 2022
Short summary
The biogeography of relative abundance of soil fungi versus bacteria in surface topsoil
Kailiang Yu, Johan van den Hoogen, Zhiqiang Wang, Colin Averill, Devin Routh, Gabriel Reuben Smith, Rebecca E. Drenovsky, Kate M. Scow, Fei Mo, Mark P. Waldrop, Yuanhe Yang, Weize Tang, Franciska T. De Vries, Richard D. Bardgett, Peter Manning, Felipe Bastida, Sara G. Baer, Elizabeth M. Bach, Carlos García, Qingkui Wang, Linna Ma, Baodong Chen, Xianjing He, Sven Teurlincx, Amber Heijboer, James A. Bradley, and Thomas W. Crowther
Earth Syst. Sci. Data, 14, 4339–4350,
https://doi.org/10.5194/essd-14-4339-2022, 2022
Short summary
Airborne SnowSAR data at X and Ku bands over boreal forest, alpine and tundra snow cover
Juha Lemmetyinen, Juval Cohen, Anna Kontu, Juho Vehviläinen, Henna-Reetta Hannula, Ioanna Merkouriadi, Stefan Scheiblauer, Helmut Rott, Thomas Nagler, Elisabeth Ripper, Kelly Elder, Hans-Peter Marshall, Reinhard Fromm, Marc Adams, Chris Derksen, Joshua King, Adriano Meta, Alex Coccia, Nick Rutter, Melody Sandells, Giovanni Macelloni, Emanuele Santi, Marion Leduc-Leballeur, Richard Essery, Cecile Menard, and Michael Kern
Earth Syst. Sci. Data, 14, 3915–3945,
https://doi.org/10.5194/essd-14-3915-2022, 2022
Short summary
The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile
Alejandro Miranda, Rayén Mentler, Ítalo Moletto-Lobos, Gabriela Alfaro, Leonardo Aliaga, Dana Balbontín, Maximiliano Barraza, Susanne Baumbach, Patricio Calderón, Fernando Cárdenas, Iván Castillo, Gonzalo Contreras, Felipe de la Barra, Mauricio Galleguillos, Mauro E. González, Carlos Hormazábal, Antonio Lara, Ian Mancilla, Francisca Muñoz, Cristian Oyarce, Francisca Pantoja, Rocío Ramírez, and Vicente Urrutia
Earth Syst. Sci. Data, 14, 3599–3613,
https://doi.org/10.5194/essd-14-3599-2022, 2022
Short summary
Aridec: an open database of litter mass loss from aridlands worldwide with recommendations on suitable model applications
Agustín Sarquis, Ignacio Andrés Siebenhart, Amy Theresa Austin, and Carlos A. Sierra
Earth Syst. Sci. Data, 14, 3471–3488,
https://doi.org/10.5194/essd-14-3471-2022, 2022
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LegacyPollen 1.0: a taxonomically harmonized global late Quaternary pollen dataset of 2831 records with standardized chronologies
Ulrike Herzschuh, Chenzhi Li, Thomas Böhmer, Alexander K. Postl, Birgit Heim, Andrei A. Andreev, Xianyong Cao, Mareike Wieczorek, and Jian Ni
Earth Syst. Sci. Data, 14, 3213–3227,
https://doi.org/10.5194/essd-14-3213-2022, 2022
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More articles (33)
Asner, G. P., Knapp, D. E., Broadbent, E. N., Oliveira, P. J. C., Keller, M., and Silva, J. N.: Selective logging in the Brazilian Amazon, Science, 310, 480–482, https://doi.org/10.1126/science.1118051, 2005.
Brunet-Navarro, P., Jochheim, H., and Muys, B.: Modelling carbon stocks and fluxes in the wood product sector: a comparative review, Glob. Change Biol., 22, 2555–2569, https://doi.org/10.1111/gcb.13235, 2016.
Brunet-Navarro, P., Jochheim, H., and Muys, B.: The effect of increasing lifespan and recycling rate on carbon storage in wood products from theoretical model to application for the European wood sector, Mitig. Adapt. Strateg. Glob. Change, 22, 1193–1205, https://doi.org/10.1007/s11027-016-9722-z, 2017.
Cai, B., Lou, Z., Wang, J., Geng, Y., Sarkis, J., Liu, J., and Gao, Q.: CH4 mitigation potentials from China landfills and related environmental co-benefits, Sci. Adv., 4, eaar8400, https://doi.org/10.1126/sciadv.aar8400, 2018.
Chang, Z., Fan, L., Wigneron, J.-P., Wang, Y.-P., Ciais, P., Chave, J., Fensholt, R., Chen, J. M., Yuan, W., Ju, W., Li, X., Jiang, F., Wu, M., Chen, X., Qin, Y., Frappart, F., Li, X., Wang, M., Liu, X., Tang, X., Hobeichi, S., Yu, M., Ma, M., Wen, J., Xiao, Q., Shi, W., Liu, D., and Yan, J.: Estimating aboveground carbon dynamic of China using optical and microwave remote sensing datasets from 2013 to 2019, J. Remote Sens., 3, 0005, https://doi.org/10.34133/remotesensing.0005, 2023.
Chen, C., Park, T., Wang, X., Piao, S., Xu, B., Chaturvedi, R. K., Fuchs, R., Brovkin, V., Ciais, P., Fensholt, R., Tømmervik, H., Bala, G., Zhu, Z., Nemani, R. R., and Myneni, R. B.: China and India lead in greening of the world through land-use management, Nat. Sustain., 2, 122–129, https://doi.org/10.1038/s41893-019-0220-7, 2019.
Chen, Y., Shen, H., Zhong, Q., Chen, H., Huang, T., Liu, J., Cheng, H., Zeng, E. Y., Smith, K. R., and Tao, S.: Transition of household cookfuels in China from 2010 to 2012, Appl. Energ., 184, 800–809, https://doi.org/10.1016/j.apenergy.2016.07.136, 2016.
Churkina, G., Organschi, A., Reyer, C. P. O., Ruff, A., Vinke, K., Liu, Z., Reck, B. K., Graedel, T. E., and Schellnhuber, H. J.: Buildings as a global carbon sink, Nat. Sustain., 3, 269–276, https://doi.org/10.1038/s41893-019-0462-4, 2020.
Costanza, R., d'Arge, R., de Groot, R., Farberl, S., Grasso, M., Hannon, B., Limburg, K., Naeem, S., O'Neil, R. V., Paruelo, J., Raskin, R. G., Suttonl, P., and van den Belt, M.: The value of the world's ecosystem services and natural capital, Nature, 387, 253–260, https://doi.org/10.1016/S0921-8009(98)00020-2, 1997.
Curtis, P. G., Slay, C. M., Harris, N. L., Tyukavina, A., and Hansen, M. C.: Classifying drivers of global forest loss, Science, 361, 1108–1111, https://doi.org/10.1126/science.aau3445, 2018.
Deal, R. L. and White, R.: Integrating forest products with ecosystem services: A global perspective, For. Policy Econ., 17, 1–2, https://doi.org/10.1016/j.forpol.2012.02.014, 2012.
Dixon, R. K., Solomon, A. M., Brown, S., Houghton, R. A., Trexier, M. C., and Wisniewski, J.: Carbon pools and flux of global forest ecosystems, Science, 263, 185–190, https://doi.org/10.1126/science.263.5144.185, 1994.
Dong, J., Zhou, Y., and You, N.: A 30 m annual maximum NDVI dataset for China from 2000 to 2020 [DB/OL], National Ecosystem Science Data Center [data set], https://doi.org/10.12199/nesdc.ecodb.rs.2021.012, 2021.
FAO: Forestry data, FAOSTAT Database, Food and Agriculture Organization of the United Nations, Rome, Italy, https://www.fao.org/faostat/en/#data/FO (last access: 25 June 2023), 2020.
Fisher, B., Edwards, D. P., and Wilcove, D. S.: Logging and conservation: Economic impacts of the stocking rates and prices of commercial timber species, For. Policy Econ., 38, 65–71, https://doi.org/10.1016/j.forpol.2013.05.006, 2014.
Fortin, M., Ningre, F., Robert, N., and Mothe, F.: Quantifying the impact of forest management on the carbon balance of the forest-wood product chain: A case study applied to even-aged oak stands in France, Forest Ecol. Manag., 279, 176–188, https://doi.org/10.1016/j.foreco.2012.05.031, 2012.
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., and Townshend, J. R. G.: High-resolution global maps of 21st-century forest cover change, Science, 342, 850–853, https://doi.org/10.1126/science.1244693, 2013.
Harper, A. B., Powell, T., Cox, P. M., House, J., Huntingford, C., Lenton, T. M., Sitch, S., Burke, E., Chadburn, S. E., Collins, W. J., Comyn-Platt, E., Daioglou, V., Doelman, J. C., Hayman, G., Robertson, E., Van Vuuren, D., Wiltshire, A., Webber, C. P., Bastos, A., Boysen, L., Ciais, P., Devaraju, N., Jain, A. K., Krause, A., Poulter, B., and Shu, S.: Land-use emissions play a critical role in landbased mitigation for Paris climate targets, Nat. Commun., 9, 2938, https://doi.org/10.1038/s41467-018-05340-z, 2018.
Harris, N. L., Gibbs, D. A., Baccini, A., Birdsey, R. A., De Bruin, S., Farina, M., Fatoyinbo, L., Hansen, M. C., Herold, M., Houghton, R. A., Potapov, P. V., Suarez, D. R., Roman-Cuesta, R. M., Saatchi, S. S., Slay, C. M., Turubanova, S. A., and Tyukavina, A.: Global maps of twenty-first century forest carbon fluxes, Nat. Clim. Change, 11, 234–240, https://doi.org/10.1038/s41558-020-00976-6, 2021.
Hethcoat, M. G., Edwards, D. P., Carreiras, J. M. B., Bryant, R. G., França, F. M., and Quegan, S.: A machine learning approach to map tropical selective logging, Remote Sens. Environ., 221, 569–582, https://doi.org/10.1016/j.rse.2018.11.044, 2019.
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G.: Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ., 83, 195–213, https://doi.org/10.1016/S0034-4257(02)00096-2, 2002.
Hurtt, G. C., Chini, L. P., Frolking, S., Betts, R. A., Feddema, J., Fischer, G., Fisk, J. P., Hibbard, K., Houghton, R. A., Janetos, A., Jones, C. D., Kindermann, G., Kinosh*ta, T., Klein Goldewijk, K., Riahi, K., Shevliakova, E., Smith, S., Stehfest, E., Thomson, A., Thornton, P., Van Vuuren, D. P., and Wang, Y. P.: Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands, Climatic Change, 109, 117–161, https://doi.org/10.1007/s10584-011-0153-2, 2011.
Hurtt, G. C., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B. L., Calvin, K., Doelman, J. C., Fisk, J., Fujimori, S., Klein Goldewijk, K., Hasegawa, T., Havlik, P., Heinimann, A., Humpenöder, F., Jungclaus, J., Kaplan, J. O., Kennedy, J., Krisztin, T., Lawrence, D., Lawrence, P., Ma, L., Mertz, O., Pongratz, J., Popp, A., Poulter, B., Riahi, K., Shevliakova, E., Stehfest, E., Thornton, P., Tubiello, F. N., van Vuuren, D. P., and Zhang, X.: Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6, Geosci. Model Dev., 13, 5425–5464, https://doi.org/10.5194/gmd-13-5425-2020, 2020.
IPCC: 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4: Agriculture, Forestry and Other Land Use, Chap. 12: Harvested Wood Products, https://www.ipcc-nggip.iges.or.jp/support/Primer_2006GLs.pdf (last access: 25 June 2023), 2006a.
IPCC: 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4: Agriculture, Forestry and Other Land Use, Chap. 4: Forest Land, https://www.ipcc-nggip.iges.or.jp/public/2006gl/pdf/4_Volume4/V4_04_Ch4_Forest_Land.pdf (last access: 27 December 2023), 2006b.
IPCC: 2013 revised supplementary methods and good practice guidance arising from the Kyoto Protocol, Intergovernmental Panel on Climate Change, Geneva, Switzerland, https://www.ipcc-nggip.iges.or.jp/public/kpsg/pdf/KP_Supplement_Entire_Report.pdf (last access: 24 June 2023), 2014.
IPCC: Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. Volume 5: Waste, Chap. 3: Solid Waste Disposal, https://www.ipcc-nggip.iges.or.jp/public/2019rf/pdf/5_Volume5/19R_V5_3_Ch03_SWDS.pdf (last access: 25 June 2023), 2019a.
IPCC: Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. Volume 4: Agriculture, Forestry and Other Land Use, Chap. 12: Harvested Wood Products, https://www.ipcc-nggip.iges.or.jp/public/2019rf/pdf/4_Volume4/19R_V4_Ch12_HarvestedWoodProducts.pdf (last access: 27 December 2023), 2019b.
IPCC: Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, 1st Edn., Cambridge University Press, https://doi.org/10.1017/9781009157896, 2023.
Jian, X., Zhang, X., Liu, Y., Liu, X., Chen, K., Wang, L., Li, J., Zhao, Y., Luo, J., Zhugu, R., and Ma, J.: The response of radiative forcing to high spatiotemporally resolved land-use change and transition from 1982 to 2010 in China, Geophys. Res. Lett., 49, e2022GL099003, https://doi.org/10.1029/2022GL099003, 2022.
Jiang, X., Li, K., and Jiang, B.: Analysis on influencing factors of wood products blank outturn rate, Sci. Technol. Eng., 22, 10930–10938, 2022.
Johnston, C. M. T. and Radeloff, V. C.: Global mitigation potential of carbon stored in harvested wood products, P. Natl. Acad. Sci. USA, 116, 14526–14531, https://doi.org/10.1073/pnas.1904231116, 2019.
Kowalski, A. S., Loustau, D., Berbigier, P., Manca, G., Tedeschi, V., Borghetti, M., Valentini, R., Kolari, P., Berninger, F., Rannik, Ü., Hari, P., Rayment, M., Mencuccini, M., Moncrieff, J., and Grace, J.: Paired comparisons of carbon exchange between undisturbed and regenerating stands in four managed forests in Europe: Carbon exchange in mature and regenerating forest, Glob. Change Biol., 10, 1707–1723, https://doi.org/10.1111/j.1365-2486.2004.00846.x, 2004.
Lal, R., Lorenz, K., Hüttl, R. F., Schneider, B. U., and Von Braun, J. (Eds.): Ecosystem services and the global carbon cycle, in: Ecosystem services and carbon sequestration in the biosphere, Springer Netherlands, Dordrecht, 151–181, https://doi.org/10.1007/978-94-007-6455-2, 2013.
Li, F., He, B., and Yang, Z.: Progress of research on tree felling root treatment and application technology, Pract. For. Technol., 8, 9–11, https://doi.org/10.13456/j.cnki.lykt.2012.08.017, 2012.
Lippke, B., Oneil, E., Harrison, R., Skog, K., Gustavsson, L., and Sathre, R.: Life cycle impacts of forest management and wood utilization on carbon mitigation: knowns and unknowns, Carbon Manag., 2, 303–333, https://doi.org/10.4155/cmt.11.24, 2011.
Liu, D., Chen, Y., Cai, W., Dong, W., Xiao, J., Chen, J., Zhang, H., Xia, J., and Yuan, W.: The contribution of China's Grain to Green Program to carbon sequestration, Landsc. Ecol., 29, 1675–1688, https://doi.org/10.1007/s10980-014-0081-4, 2014.
Liu, S., Bond-Lamberty, B., Hicke, J. A., Vargas, R., Zhao, S., Chen, J., Edburg, S. L., Hu, Y., Liu, J., McGuire, A. D., Xiao, J., Keane, R., Yuan, W., Tang, J., Luo, Y., Potter, C., and Oeding, J.: Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges, J. Geophys. Res., 116, G00K08, https://doi.org/10.1029/2010JG001585, 2011.
Masek, J. G., Cohen, W. B., Leckie, D., Wulder, M. A., Vargas, R., De Jong, B., Healey, S., Law, B., Birdsey, R., Houghton, R. A., Mildrexler, D., Goward, S., and Smith, W. B.: Recent rates of forest harvest and conversion in North America, J. Geophys. Res., 116, G00K03, https://doi.org/10.1029/2010JG001471, 2011.
Matricardi, E. A. T., Skole, D. L., Pedlowski, M. A., Chomentowski, W., and Fernandes, L. C.: Assessment of tropical forest degradation by selective logging and fire using Landsat imagery, Remote Sens. Environ., 114, 1117–1129, https://doi.org/10.1016/j.rse.2010.01.001, 2010.
Matsumoto, R., Kayo, C., Kita, S., Nakamura, K., Lauk, C., and Funada, R.: Estimation of carbon stocks in wood products for private building companies, Sci. Rep., 12, 18112, https://doi.org/10.1038/s41598-022-23112-0, 2022.
Nabuurs, G.-J., Verweij, P., Van Eupen, M., Pérez-Soba, M., Pülzl, H., and Hendriks, K.: Next-generation information to support a sustainable course for European forests, Nat. Sustain., 2, 815–818, https://doi.org/10.1038/s41893-019-0374-3, 2019.
National Forestry Administration: The definition of China forestry statistic indicators, China Forestry Press, Beijing, 117–137, https://www.stats.gov.cn/zt_18555/ztsj/hjtjzl/2013/202303/t20230302_1920915.html (last access: 12January2024), 2000.
National Forestry and Grassland Administration: China Forest Resources Report in 2014–2018, China Forestry Publishing, ISBN 978-7-5038-9982-9, 2019.
Nepstad, D. C., Nobre, C., Lima, E., Lefebvre, P., Schlesinger, P., Potter, C., Mendoza, E., Cochrane, M., and Brooks, V.: Large-scale impoverishment of Amazonian forests by logging and fire, 398, 505–508, https://doi.org/10.1038/19066, 1999.
Pan, Y., Birdsey, R. A., Fang, J., Houghton, R., Kauppi, P. E., Kurz, W. A., Phillips, O. L., Shvidenko, A., Lewis, S. L., Canadell, J. G., Ciais, P., Jackson, R. B., Pacala, S. W., McGuire, A. D., Piao, S., Rautiainen, A., Sitch, S., and Hayes, D.: A large and persistent carbon sink in the world's forests, Science, 333, 988–993, https://doi.org/10.1126/science.1201609, 2011.
Pennock, D. J. and Van Kessel, C.: Clear-cut forest harvest impacts on soil quality indicators in the mixedwood forest of Saskatchewan, Canada, Geoderma, 75, 13–32, https://doi.org/10.1016/S0016-7061(96)00075-4, 1997.
Pingoud, K. and Wagner, F.: Methane emissions from landfills and carbon dynamics of harvested wood products: The First-Order Decay revisited, Mitig. Adapt. Strateg. Glob. Change, 11, 961–978, https://doi.org/10.1007/s11027-006-9029-6, 2006.
Profft, I., Mund, M., Weber, G.-E., Weller, E., and Schulze, E.-D.: Forest management and carbon sequestration in wood products, Eur. J. For. Res., 128, 399–413, https://doi.org/10.1007/s10342-009-0283-5, 2009.
Research and Market: Research report on timber import in China, 2019–2023, China Research & Intelligence, https://www.researchandmarkets.com/reports/4744796 (last access: 27 July 2023), 2019.
Skog, K. E.: Sequestration of carbon in harvested wood products for the United States, For. Prod. J., 58, 56–72, 2008.
Skog, K. E., Pingoud, K., and Smith, J. E.: A method countries can use to estimate changes in carbon stored in harvested wood products and the uncertainty of such estimates, Environ. Manage., 33, https://doi.org/10.1007/s00267-003-9118-1, 2004.
Smyth, C. E., Stinson, G., Neilson, E., Lemprière, T. C., Hafer, M., Rampley, G. J., and Kurz, W. A.: Quantifying the biophysical climate change mitigation potential of Canada's forest sector, Biogeosciences, 11, 3515–3529, https://doi.org/10.5194/bg-11-3515-2014, 2014.
Stockmann, K. D., Anderson, N. M., Skog, K. E., Healey, S. P., Loeffler, D. R., Jones, G., and Morrison, J. F.: Estimates of carbon stored in harvested wood products from the United States forest service northern region, 1906–2010, Carbon Balance Manag., 7, 1, https://doi.org/10.1186/1750-0680-7-1, 2012.
Tao, S., Ru, M. Y., Du, W., Zhu, X., Zhong, Q. R., Li, B. G., Shen, G. F., Pan, X. L., Meng, W. J., Chen, Y. L., Shen, H. Z., Lin, N., Su, S., Zhuo, S. J., Huang, T. B., Xu, Y., Yun, X., Liu, J. F., Wang, X. L., Liu, W. X., Cheng, H. F., and Zhu, D. Q.: Quantifying the rural residential energy transition in China from 1992 to 2012 through a representative national survey, Nat. Energy, 3, 567–573, https://doi.org/10.1038/s41560-018-0158-4, 2018.
Van Ewijk, S., Stegemann, J. A., and Ekins, P.: Limited climate benefits of global recycling of pulp and paper, Nat. Sustain., 4, 180–187, https://doi.org/10.1038/s41893-020-00624-z, 2020.
Wang, D., Ren, P., Xia, X., Fan, L., Qin, Z., Chen, X., and Yuan, W.: National forest carbon harvesting and allocation dataset for the period 2003 to 2018. figshare [data set], https://doi.org/10.6084/m9.figshare.23641164.v2, 2023.
Wei, X., Zhao, J., Hayes, D. J., Daigneault, A., and Zhu, H.: A life cycle and product type based estimator for quantifying the carbon stored in wood products, Carbon Balance Manag., 18, 1, https://doi.org/10.1186/s13021-022-00220-y, 2023.
Werner, F., Taverna, R., Hofer, P., Thürig, E., and Kaufmann, E.: National and global greenhouse gas dynamics of different forest management and wood use scenarios: a model-based assessment, Environ. Sci. Policy, 13, 72–85, https://doi.org/10.1016/j.envsci.2009.10.004, 2010.
White, M. K., Gower, S. T., and Ahl, D. E.: Life cycle inventories of roundwood production in northern Wisconsin: Inputs into an industrial forest carbon budget, Forest Ecol. Manag., 219, 13–28, https://doi.org/10.1016/j.foreco.2005.08.039, 2005.
Winjum, J. K., Brown, S., and Schlamadinger, B.: Forest harvests and wood products: Sources and sinks of atmospheric carbon dioxide, For. Sci., 44, 272–284, https://doi.org/10.1093/forestscience/44.2.272, 1998.
Xia, X., Xia, J., Chen, X., Fan, L., Liu, S., Qin, Y., Qin, Z., Xiao, X., Xu, W., Yue, C., Yue, X., and Yuan, W.: Reconstructing long-term forest cover in China by fusing national forest inventory and 20 land use and land cover data sets, J. Geophys. Res.-Biogeo., 128, e2022JG007101, https://doi.org/10.1029/2022JG007101, 2023.
Yu, Z., Zhao, H., Liu, S., Zhou, G., Fang, J., Yu, G., Tang, X., Wang, W., Yan, J., Wang, G., Ma, K., Li, S., Du, S., Han, S., Ma, Y., Zhang, D., Liu, J., Liu, S., Chu, G., Zhang, Q., and Li, Y.: Mapping forest type and age in China's plantations, Sci. Total Environ., 744, 140790, https://doi.org/10.1016/j.scitotenv.2020.140790, 2020.
Yu, Z., Ciais, P., Piao, S., Houghton, R. A., Lu, C., Tian, H., Agathokleous, E., Kattel, G. R., Sitch, S., Goll, D., Yue, X., Walker, A., Friedlingstein, P., Jain, A. K., Liu, S., and Zhou, G.: Forest expansion dominates China's land carbon sink since 1980, Nat. Commun., 13, 5374, https://doi.org/10.1038/s41467-022-32961-2, 2022.
Yuan, W., Li, X., Liang, S., Cui, X., Dong, W., Liu, S., Xia, J., Chen, Y., Liu, D., and Zhu, W.: Characterization of locations and extents of afforestation from the Grain for Green Project in China, Remote Sens. Lett., 5, 221–229, https://doi.org/10.1080/2150704X.2014.894655, 2014.
Yuan, W., Zheng, Y., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., Ryu, Y., Chen, G., Dong, W., Hu, Z., Jain, A. K., Jiang, C., Kato, E., Li, S., Lienert, S., Liu, S., Nabel, J. E. M. S., Qin, Z., Quine, T., Sitch, S., Smith, W. K., Wang, F., Wu, C., Xiao, Z., and Yang, S.: Increased atmospheric vapor pressure deficit reduces global vegetation growth, Sci. Adv., 5, eaax1396, https://doi.org/10.1126/sciadv.aax1396, 2019.
Zhang, L., Sun, Y., Song, T., and Xu, J.: Harvested wood products as a carbon sink in China, 1900–2016, Int. J. Environ. Res. Pub. He., 16, 445, https://doi.org/10.3390/ijerph16030445, 2019.
Zhang, X., Yang, H., and Chen, J.: Life-cycle carbon budget of China's harvested wood products in 1900–2015, For. Policy Econ., 92, 181–192, https://doi.org/10.1016/j.forpol.2018.05.005, 2018.
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