Articles | Volume 11, issue 2
https://doi.org/10.5194/essd-11-675-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-675-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Peer-reviewed comment
| 
16 May 2019
Peer-reviewed comment |
| 16 May 2019
| 16 May 2019
A leaf area index data set acquired in Sahelian rangelands of Gourma in Mali over the 2005–2017 period
Eric Mougin
CORRESPONDING AUTHOR
Géosciences Environnement Toulouse (GET), (UMR 5563, CNRS, IRD, Université Paul Sabatier),
Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, France
Mamadou Oumar Diawara
Département de Biologie, Faculté des Sciences et Techniques (FST),
Université des Sciences, des Techniques et des Technologies de Bamako (USTTB), Colline de Badalabougou, BP 3206 Bamako, Mali
Nogmana Soumaguel
Centre IRD, Quartier Hippodrome, BP 2528, Bamako, Mali
Ali Amadou Maïga
Centre IRD, Quartier Hippodrome, BP 2528, Bamako, Mali
Valérie Demarez
Centre d'Études Spatiales de la Biosphère (UMR 5126, CNES CNRS IRD Université
P. Sabatier Toulouse III), 18 avenue Edouard Belin, 31401 Toulouse CEDEX 4, France
Pierre Hiernaux
Pastoc, 30 chemin de Jouanal, 82160 Caylus, France
Manuela Grippa
Géosciences Environnement Toulouse (GET), (UMR 5563, CNRS, IRD, Université Paul Sabatier),
Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, France
Véronique Chaffard
Institut des Géosciences de l'Environnement (UMR 5001), CNRS IRD Université
Grenoble Alpes (UGA) et Grenoble-INP 38058 Grenoble, France
Abdramane Ba
Laboratoire d'Optique, de Spectroscopie et des Sciences Atmosphériques (LOSSA),
Département de Physique, Faculté des Sciences et Techniques (FST),
Université des Sciences des Techniques et des Technologies de Bamako (USTTB), BP E3206,
Badalabougou, Bamako, Mali
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Emissions of greenhouse gases in the Sahel are not well represented, because considered as weak compared to the rest of the world. However, natural areas in the Sahel emit carbon dioxide and nitrous oxides which need to be assessed because of extended surfaces. We propose an assessment of such emissions in Sahelian silvopastoral systems, and how they are influenced by environmental characteristics. These results are essential to inform on climate change strategies in the region.
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Emissions of greenhouse gases in the Sahel are not well represented, because considered as weak compared to the rest of the world. However, natural areas in the Sahel emit carbon dioxide and nitrous oxides which need to be assessed because of extended surfaces. We propose an assessment of such emissions in Sahelian silvopastoral systems, and how they are influenced by environmental characteristics. These results are essential to inform on climate change strategies in the region.
Mathilde de Fleury, Laurent Kergoat, and Manuela Grippa
Hydrol. Earth Syst. Sci., 27, 2189–2204, https://doi.org/10.5194/hess-27-2189-2023, https://doi.org/10.5194/hess-27-2189-2023, 2023
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The intense, prolonged Sahel drought has caused a widespread increase in surface runoff and surface waters like lakes or rivers, against all expectations. Using long-term observations and the Kineros2 hydrological model, we show that the runoff coefficient of the Agoufou watershed increased from ~ 0 to 5.5 % in 1950–2011. We attribute this phenomenon to a change in vegetation and soil surface properties, in response to the drought, rather than land–use change or rainfall regime intensification.
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Spatial mapping of key plant functional traits in terrestrial ecosystems across China
HiQ-LAI: a high-quality reprocessed MODIS leaf area index dataset with better spatiotemporal consistency from 2000 to 2022
EUPollMap: the European atlas of contemporary pollen distribution maps derived from an integrated Kriging interpolation approach
Reference maps of soil phosphorus for the pan-Amazon region
Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020
Sensor-independent LAI/FPAR CDR: reconstructing a global sensor-independent climate data record of MODIS and VIIRS LAI/FPAR from 2000 to 2022
Investigating limnological processes and modern sedimentation at Lake Żabińskie, northeast Poland: a decade-long multi-variable dataset, 2012–2021
Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020
Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022
CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada
Quantifying exchangeable base cations in permafrost: a reserve of nutrients about to thaw
Routine monitoring of western Lake Erie to track water quality changes associated with cyanobacterial harmful algal blooms
National forest carbon harvesting and allocation dataset for the period 2003 to 2018
The Portuguese Large Wildfire Spread database (PT-FireSprd)
Thirty-meter map of young forest age in China
GRiMeDB: the Global River Methane Database of concentrations and fluxes
A gridded dataset of a leaf-age-dependent leaf area index seasonality product over tropical and subtropical evergreen broadleaved forests
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A remote-sensing-based dataset to characterize the ecosystem functioning and functional diversity in the Biosphere Reserve of the Sierra Nevada (southeastern Spain)
A global long-term, high-resolution satellite radar backscatter data record (1992–2022+): merging C-band ERS/ASCAT and Ku-band QSCAT
A global database on holdover time of lightning-ignited wildfires
National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake
Mammals in the Chornobyl Exclusion Zone's Red Forest: a motion-activated camera trap study
Maps with 1 km resolution reveal increases in above- and belowground forest biomass carbon pools in China over the past 20 years
AnisoVeg: anisotropy and nadir-normalized MODIS multi-angle implementation atmospheric correction (MAIAC) datasets for satellite vegetation studies in South America
TiP-Leaf: a dataset of leaf traits across vegetation types on the Tibetan Plateau
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The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile
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Earth Syst. Sci. Data, 16, 1771–1810, https://doi.org/10.5194/essd-16-1771-2024, https://doi.org/10.5194/essd-16-1771-2024, 2024
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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, https://doi.org/10.5194/essd-16-1601-2024, 2024
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Variations in observational conditions have led to poor spatiotemporal consistency in leaf area index (LAI) time series. Using prior knowledge, we leveraged high-quality observations and spatiotemporal correlation to reprocess MODIS LAI, thereby generating HiQ-LAI, a product that exhibits fewer abnormal fluctuations in time series. Reprocessing was done on Google Earth Engine, providing users with convenient access to this value-added data and facilitating large-scale research and applications.
Fabio Oriani, Gregoire Mariethoz, and Manuel Chevalier
Earth Syst. Sci. Data, 16, 731–742, https://doi.org/10.5194/essd-16-731-2024, https://doi.org/10.5194/essd-16-731-2024, 2024
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Modern and fossil pollen data contain precious information for reconstructing the climate and environment of the past. However, these data are only achieved for single locations with no continuity in space. We present here a systematic atlas of 194 digital maps containing the spatial estimation of contemporary pollen presence over Europe. This dataset constitutes a free and ready-to-use tool to study climate, biodiversity, and environment in time and space.
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, https://doi.org/10.5194/essd-16-715-2024, 2024
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Phosphorus (P) is crucial for plant growth, and scientists have created models to study how it interacts with carbon cycle in ecosystems. To apply these models, it is important to know the distribution of phosphorus in soil. In this study we estimated the distribution of phosphorus in the Amazon region. The results showed a clear gradient of soil development and P content. These maps can help improve ecosystem models and generate new hypotheses about phosphorus availability in the Amazon.
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, https://doi.org/10.5194/essd-16-277-2024, 2024
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This study utilized 24,552 in situ phenology observation records from the Chinese Phenology Observation Network to model and map 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020. These phenology maps are the first gridded, independent and reliable phenology data sources for China, offering a high spatial resolution of 0.1° and an average deviation of about 10 days. It contributes to more comprehensive research on plant phenology and climate change.
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, https://doi.org/10.5194/essd-16-15-2024, 2024
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Long-term global LAI/FPAR products provide the fundamental dataset for accessing vegetation dynamics and studying climate change. This study develops a sensor-independent LAI/FPAR climate data record based on the integration of Terra-MODIS/Aqua-MODIS/VIIRS LAI/FPAR standard products and applies advanced gap-filling techniques. The SI LAI/FPAR CDR provides a valuable resource for researchers studying vegetation dynamics and their relationship to climate change in the 21st century.
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, https://doi.org/10.5194/essd-15-5093-2023, 2023
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We present a dataset from the decade-long monitoring of Lake Żabińskie, a hardwater and eutrophic lake in northeast Poland. The lake contains varved sediments, which form a unique archive of past environmental variability. The monitoring program was designed to capture a pattern of relationships between meteorological conditions, limnological processes, and modern sedimentation and to verify if meteorological and limnological phenomena can be precisely tracked with varves.
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, https://doi.org/10.5194/essd-15-4877-2023, 2023
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The long-term global leaf area index (LAI) products are critical for characterizing vegetation dynamics under environmental changes. This study presents an updated GIMMS LAI product (GIMMS LAI4g; 1982−2020) based on PKU GIMMS NDVI and massive Landsat LAI samples. With higher accuracy than other LAI products, GIMMS LAI4g removes the effects of orbital drift and sensor degradation in AVHRR data. It has better temporal consistency before and after 2000 and a more reasonable global vegetation trend.
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, https://doi.org/10.5194/essd-15-4181-2023, 2023
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Long-term global Normalized Difference Vegetation Index (NDVI) products support the understanding of changes in vegetation under environmental changes. This study generates a consistent global NDVI product (PKU GIMMS NDVI) from 1982–2022 that eliminates the issue of orbital drift and sensor degradation in Advanced Very High Resolution Radiometer (AVHRR) data. More accurate than its predecessor (GIMMS NDVI3g), it shows high temporal consistency with MODIS NDVI in describing vegetation trends.
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, https://doi.org/10.5194/essd-15-3963-2023, 2023
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A genomic, phenomic, and climate database for maize phenotype predictability in the US and Canada is introduced. The database encompasses climate from multiple sources and OMICS from the Genomes to Fields initiative (G2F) data from 2014 to 2021, including codes for input data quality and consistency controls. Earth system modelers and breeders can use CLIM4OMICS since it interconnects the climate and biological system sciences. CLIM4OMICS is designed to foster phenotype predictability.
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, https://doi.org/10.5194/essd-15-3891-2023, 2023
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Permafrost ecosystems are limited in nutrients for vegetation development and constrain the biological activity to the active layer. Upon Arctic warming, permafrost degradation exposes organic and mineral soil material that may directly influence the capacity of the soil to retain key nutrients for vegetation growth and development. Here, we demonstrate that the average total exchangeable nutrient density (Ca, K, Mg, and Na) is more than 2 times higher in the permafrost than in the active layer.
Anna G. Boegehold, Ashley M. Burtner, Andrew C. Camilleri, Glenn Carter, Paul DenUyl, David Fanslow, Deanna Fyffe Semenyuk, 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, https://doi.org/10.5194/essd-15-3853-2023, 2023
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Western Lake Erie suffers from cyanobacterial harmful algal blooms (HABs) despite decades of international management efforts. In response, the US National Oceanic and Atmospheric Administration (NOAA) Great Lakes Environmental Research Laboratory (GLERL) and the Cooperative Institute for Great Lakes Research (CIGLR) created an annual sampling program to detect, monitor, assess, and predict HABs. Here we describe the data collected from this monitoring program from 2012 to 2021.
Daju Wang, Peiyang Ren, Xiaosheng Xia, Lei Fan, Zhangcai Qin, Xiuzhi Chen, and Wenping Yuan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-309, https://doi.org/10.5194/essd-2023-309, 2023
Revised manuscript accepted for ESSD
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This study generated a high-precision dataset, locating forest harvested carbon and quantifying post-harvest wood emissions for various uses. It enhances our understanding of forest harvesting and post-harvest carbon dynamics in China, providing essential data for estimating the forest ecosystem carbon budget and emphasizing wood utilization's impact on carbon emissions.
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, https://doi.org/10.5194/essd-15-3791-2023, 2023
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We reconstructed the spread of 80 large wildfires that burned recently in Portugal and calculated metrics that describe how wildfires behave, such as rate of spread, growth rate, and energy released. We describe the fire behaviour distribution using six percentile intervals that can be easily communicated to both research and management communities. The database will help improve our current knowledge on wildfire behaviour and support better decision making.
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, https://doi.org/10.5194/essd-15-3365-2023, 2023
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Forest age is closely related to forest production, carbon cycles, and other ecosystem services. Existing stand age products in China derived from remote-sensing images are of a coarse spatial resolution and are not suitable for applications at the regional scale. Here, we mapped young forest ages across China at an unprecedented fine spatial resolution of 30 m. The overall accuracy (OA) of the generated map of young forest stand ages across China was 90.28 %.
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, https://doi.org/10.5194/essd-15-2879-2023, 2023
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The Global River Methane Database (GRiMeDB) presents CH4 concentrations and fluxes for flowing waters and concurrent measures of CO2, N2O, and several physicochemical variables, plus information about sample locations and methods used to measure gas fluxes. GRiMeDB is intended to increase opportunities to understand variation in fluvial CH4, test hypotheses related to greenhouse gas dynamics, and reduce uncertainty in future estimates of gas emissions from world streams and rivers.
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, https://doi.org/10.5194/essd-15-2601-2023, 2023
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We developed the first time-mapped, continental-scale gridded dataset of monthly leaf area index (LAI) in three leaf age cohorts (i.e., young, mature, and old) from 2001–2018 data (referred to as Lad-LAI). The seasonality of three LAI cohorts from the new Lad-LAI product agrees well at eight sites with very fine-scale collections of monthly LAI. The proposed satellite-based approaches can provide references for mapping finer spatiotemporal-resolution LAI products with different leaf age cohorts.
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, https://doi.org/10.5194/essd-15-2153-2023, 2023
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We present a new database of four annual fire weather indicators over 1850–2100 and over all land areas. In a 3°C warmer world with respect to preindustrial times, the mean fire weather would increase on average by at least 66% in both intensity and duration and even triple for 1-in-10-year events. The dataset is a freely available resource for fire danger studies and beyond, highlighting that the best course of action would require limiting global warming as much as possible.
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, https://doi.org/10.5194/essd-15-1871-2023, 2023
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This dataset provides scientists, environmental managers, and the public in general with valuable information on the first characterization of ecosystem functional diversity based on primary production developed in the Sierra Nevada (Spain), a biodiversity hotspot in the Mediterranean basin and an exceptional natural laboratory for ecological research within the Long-Term Social-Ecological Research (LTSER) network.
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, https://doi.org/10.5194/essd-15-1577-2023, 2023
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We provide the first long-term (since 1992), high-resolution (8.9 km) satellite radar backscatter data set (LHScat) with a C-band (5.3 GHz) signal dynamic for global lands. LHScat was created by fusing signals from ERS (1992–2001; C-band), QSCAT (1999–2009; Ku-band), and ASCAT (since 2007; C-band). LHScat has been validated against independent ERS-2 signals. It could be used in a variety of studies, such as vegetation monitoring and hydrological modelling.
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, https://doi.org/10.5194/essd-15-1151-2023, 2023
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This work describes a database on holdover times of lightning-ignited wildfires (LIWs). Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The database contains 42 datasets built with data on more than 152 375 LIWs from 13 countries in five continents from 1921 to 2020. This database is the first freely-available, harmonized and ready-to-use global source of holdover time data, which may be used to investigate LIWs and model the holdover phenomenon.
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, https://doi.org/10.5194/essd-15-963-2023, 2023
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Changes in the carbon stocks of terrestrial ecosystems result in emissions and removals of CO2. These can be driven by anthropogenic activities (e.g., deforestation), natural processes (e.g., fires) or in response to rising CO2 (e.g., CO2 fertilization). This paper describes a dataset of CO2 emissions and removals derived from atmospheric CO2 observations. This pilot dataset informs current capabilities and future developments towards top-down monitoring and verification systems.
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, https://doi.org/10.5194/essd-15-911-2023, 2023
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Camera traps were established in a highly contaminated area of the Chornobyl Exclusion Zone (CEZ) to capture images of mammals. Over 1 year, 14 mammal species were recorded. The number of species observed did not vary with estimated radiation exposure. The data will be of value from the perspectives of effects of radiation on wildlife and also rewilding in this large, abandoned area. They may also have value in future studies investigating impacts of recent Russian military action in the CEZ.
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, https://doi.org/10.5194/essd-15-897-2023, 2023
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This study presented a long-term (2002–2021) above- and belowground biomass dataset for woody vegetation in China at 1 km resolution. It was produced by combining various types of remote sensing observations with adequate plot measurements. Over 2002–2021, China’s woody biomass increased at a high rate, especially in the central and southern parts. This dataset can be applied to evaluate forest carbon sinks across China and the efficiency of ecological restoration programs in China.
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, https://doi.org/10.5194/essd-15-345-2023, 2023
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The AnisoVeg dataset brings 22 years of monthly satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor for South America at 1 km resolution aimed at vegetation applications. It has nadir-normalized data, which is the most traditional approach to correct satellite data but also unique anisotropy data with strong biophysical meaning, explaining 55 % of Amazon forest height. We expect this dataset to help large-scale estimates of vegetation biomass and carbon.
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, https://doi.org/10.5194/essd-15-25-2023, 2023
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The TiP-Leaf dataset was compiled from direct field measurements and included 11 leaf traits from 468 species of 1692 individuals, covering a great proportion of species and vegetation types on the highest plateau in the world. This work is the first plant trait dataset that represents all of the alpine vegetation on the TP, which is not only an update of the Chinese plant trait database, but also a great contribution to the global trait database.
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, https://doi.org/10.5194/essd-14-5695-2022, 2022
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We present data which were collected on expeditions to the northeast of the Russian Federation. One table describes the 226 locations we visited during those expeditions, and the other describes 40 289 trees which we recorded at these locations. We found out that important information on the forest cannot be predicted precisely from satellites. Thus, for anyone interested in distant forests, it is important to go to there and take measurements or use data (as presented here).
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, https://doi.org/10.5194/essd-14-5573-2022, 2022
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Using mechanistic downscaling, we developed CHELSA-BIOCLIM+, a set of 15 biologically relevant, climate-related variables at unprecedented resolution, as a basis for environmental analyses. It includes monthly time series for 38+ years and 30-year averages for three future periods and three emission scenarios. Estimates matched well with station measurements, but few biases existed. The data allow for detailed assessments of climate-change impact on ecosystems and their services to societies.
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, https://doi.org/10.5194/essd-14-5463-2022, 2022
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This study developed a daily, 500 m evapotranspiration and gross primary production product (PML-V2(China)) using a locally calibrated water–carbon coupled model, PML-V2, which was well calibrated against observations at 26 flux sites across nine land cover types. PML-V2 (China) performs satisfactorily in the plot- and basin-scale evaluations compared with other mainstream products. It improved intra-annual ET and GPP dynamics, particularly in the cropland ecosystem.
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, https://doi.org/10.5194/essd-14-5333-2022, 2022
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The fraction of absorbed photosynthetically active radiation (FAPAR) is one of the essential climate variables. This study generated a global land surface FAPAR product with a 250 m resolution based on a deep learning model that takes advantage of the existing FAPAR products and MODIS time series of observation information. Direct validation and intercomparison revealed that our product better meets user requirements and has a greater spatiotemporal continuity than other existing products.
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, https://doi.org/10.5194/essd-14-5139-2022, 2022
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Climate warming and land-use changes are altering the environmental factors that control the algal
productivityin lakes. To predict how environmental factors like nutrient concentrations, ice cover, and water temperature will continue to influence lake productivity in this changing climate, we created a dataset of chlorophyll-a concentrations (a compound found in algae), associated water quality parameters, and solar radiation that can be used to for a wide range of research questions.
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, https://doi.org/10.5194/essd-14-5157-2022, 2022
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We describe a new openly accessible collection of atmospheric observations from 20 cities around the world, capturing 50 site years. The observations capture local meteorology (temperature, humidity, wind, etc.) and the energy fluxes between the land and atmosphere (e.g. radiation and sensible and latent heat fluxes). These observations can be used to improve our understanding of urban climate processes and to test the accuracy of urban climate models.
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, https://doi.org/10.5194/essd-14-4777-2022, 2022
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Here we presented the first quantitative spatiotemporal cropping patterns spanning the Neolithic and Bronze ages in northern China. Temporally, millet agriculture underwent a dramatic transition from low-yield broomcorn to high-yield foxtail millet around 6000 cal. a BP under the influence of climate and population. Spatially, millet agriculture spread westward and northward from the mid-lower Yellow River (MLY) to the agro-pastoral ecotone (APE) around 6000 cal. a BP and diversified afterwards.
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, https://doi.org/10.5194/essd-14-4339-2022, 2022
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We used a global-scale dataset for the surface topsoil (>3000 distinct observations of abundance of soil fungi versus bacteria) to generate the first quantitative map of soil fungal proportion across terrestrial ecosystems. We reveal striking latitudinal trends. Fungi dominated in regions with low mean annual temperature (MAT) and net primary productivity (NPP) and bacteria dominated in regions with high MAT and NPP.
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, https://doi.org/10.5194/essd-14-3915-2022, 2022
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The manuscript describes airborne, dual-polarised X and Ku band synthetic aperture radar (SAR) data collected over several campaigns over snow-covered terrain in Finland, Austria and Canada. Colocated snow and meteorological observations are also presented. The data are meant for science users interested in investigating X/Ku band radar signatures from natural environments in winter conditions.
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, https://doi.org/10.5194/essd-14-3599-2022, 2022
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Achieving a local understanding of fire regimes requires high-resolution, systematic and dynamic data. High-quality information can help to transform evidence into decision-making. Taking advantage of big-data and remote sensing technics we developed a flexible workflow to reconstruct burned area and fire severity data for more than 8000 individual fires in Chile. The framework developed for the database can be applied anywhere in the world with minimal adaptation.
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, https://doi.org/10.5194/essd-14-3471-2022, 2022
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Plant litter breakdown in aridlands is driven by processes different from those in more humid ecosystems. A better understanding of these processes will allow us to make better predictions of future carbon cycling. We have compiled aridec, a database of plant litter decomposition studies in aridlands and tested some modeling applications for potential users. Aridec is open for use and collaboration, and we hope it will help answer newer and more important questions as the database develops.
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, https://doi.org/10.5194/essd-14-3213-2022, 2022
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Pollen preserved in environmental archives such as lake sediments and bogs are extensively used for reconstructions of past vegetation and climate. Here we present LegacyPollen 1.0, a dataset of 2831 fossil pollen records from all over the globe that were collected from publicly available databases. We harmonized the names of the pollen taxa so that all datasets can be jointly investigated. LegacyPollen 1.0 is available as an open-access dataset.
Hannah Weiser, Jannika Schäfer, Lukas Winiwarter, Nina Krašovec, Fabian E. Fassnacht, and Bernhard Höfle
Earth Syst. Sci. Data, 14, 2989–3012, https://doi.org/10.5194/essd-14-2989-2022, https://doi.org/10.5194/essd-14-2989-2022, 2022
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3D point clouds, acquired by laser scanning, allow us to retrieve information about forest structure and individual tree properties. We conducted airborne, UAV-borne and terrestrial laser scanning in German mixed forests, resulting in overlapping point clouds with different characteristics. From these, we generated a comprehensive database of individual tree point clouds and corresponding tree metrics. Our dataset may serve as a benchmark dataset for algorithms in forestry research.
Quandi Niu, Xuecao Li, Jianxi Huang, Hai Huang, Xianda Huang, Wei Su, and Wenping Yuan
Earth Syst. Sci. Data, 14, 2851–2864, https://doi.org/10.5194/essd-14-2851-2022, https://doi.org/10.5194/essd-14-2851-2022, 2022
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In this paper we generated the first national maize phenology product with a fine spatial resolution (30 m) and a long temporal span (1985–2020) in China, using Landsat images. The derived phenological indicators agree with in situ observations and provide more spatial details than moderate resolution phenology products. The extracted maize phenology dataset can support precise yield estimation and deepen our understanding of the response of agroecosystem to global warming in the future.
Alexandre Castagna, Luz Amadei Martínez, Margarita Bogorad, Ilse Daveloose, Renaat Dasseville, Heidi Melita Dierssen, Matthew Beck, Jonas Mortelmans, Héloïse Lavigne, Ana Dogliotti, David Doxaran, Kevin Ruddick, Wim Vyverman, and Koen Sabbe
Earth Syst. Sci. Data, 14, 2697–2719, https://doi.org/10.5194/essd-14-2697-2022, https://doi.org/10.5194/essd-14-2697-2022, 2022
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Here we describe a dataset of optical measurements paired with the concentration and composition of dissolved and particulate components of water systems in Belgium. Sampling was performed over eight lakes, a coastal lagoon, an estuary, and coastal waters, covering the period of 2017 to 2019. The data cover a broad range of conditions and can be useful for development and evaluation of hyperspectral methods in hydrology optics and remote sensing.
Zhu Deng, Philippe Ciais, Zitely A. Tzompa-Sosa, Marielle Saunois, Chunjing Qiu, Chang Tan, Taochun Sun, Piyu Ke, Yanan Cui, Katsumasa Tanaka, Xin Lin, Rona L. Thompson, Hanqin Tian, Yuanzhi Yao, Yuanyuan Huang, Ronny Lauerwald, Atul K. Jain, Xiaoming Xu, Ana Bastos, Stephen Sitch, Paul I. Palmer, Thomas Lauvaux, Alexandre d'Aspremont, Clément Giron, Antoine Benoit, Benjamin Poulter, Jinfeng Chang, Ana Maria Roxana Petrescu, Steven J. Davis, Zhu Liu, Giacomo Grassi, Clément Albergel, Francesco N. Tubiello, Lucia Perugini, Wouter Peters, and Frédéric Chevallier
Earth Syst. Sci. Data, 14, 1639–1675, https://doi.org/10.5194/essd-14-1639-2022, https://doi.org/10.5194/essd-14-1639-2022, 2022
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In support of the global stocktake of the Paris Agreement on climate change, we proposed a method for reconciling the results of global atmospheric inversions with data from UNFCCC national greenhouse gas inventories (NGHGIs). Here, based on a new global harmonized database that we compiled from the UNFCCC NGHGIs and a comprehensive framework presented in this study to process the results of inversions, we compared their results of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O).
Esther Githumbi, Ralph Fyfe, Marie-Jose Gaillard, Anna-Kari Trondman, Florence Mazier, Anne-Birgitte Nielsen, Anneli Poska, Shinya Sugita, Jessie Woodbridge, Julien Azuara, Angelica Feurdean, Roxana Grindean, Vincent Lebreton, Laurent Marquer, Nathalie Nebout-Combourieu, Miglė Stančikaitė, Ioan Tanţău, Spassimir Tonkov, Lyudmila Shumilovskikh, and LandClimII data contributors
Earth Syst. Sci. Data, 14, 1581–1619, https://doi.org/10.5194/essd-14-1581-2022, https://doi.org/10.5194/essd-14-1581-2022, 2022
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Reconstruction of past land cover is necessary for the study of past climate–land cover interactions and the evaluation of climate models and land-use scenarios. We used 1128 available pollen records from across Europe covering the last 11 700 years in the REVEALS model to calculate percentage cover and associated standard errors for 31 taxa, 12 plant functional types and 3 land-cover types. REVEALS results are reliant on the quality of the input datasets.
Russell Doughty, Thomas P. Kurosu, Nicholas Parazoo, Philipp Köhler, Yujie Wang, Ying Sun, and Christian Frankenberg
Earth Syst. Sci. Data, 14, 1513–1529, https://doi.org/10.5194/essd-14-1513-2022, https://doi.org/10.5194/essd-14-1513-2022, 2022
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We describe and compare solar-induced chlorophyll fluorescence data produced by NASA from the Greenhouse Gases Observing Satellite (GOSAT) and the Orbiting Carbon Observatory-2 (OCO-2) and OCO-3 platforms.
Sandy P. Harrison, Roberto Villegas-Diaz, Esmeralda Cruz-Silva, Daniel Gallagher, David Kesner, Paul Lincoln, Yicheng Shen, Luke Sweeney, Daniele Colombaroli, Adam Ali, Chéïma Barhoumi, Yves Bergeron, Tatiana Blyakharchuk, Přemysl Bobek, Richard Bradshaw, Jennifer L. Clear, Sambor Czerwiński, Anne-Laure Daniau, John Dodson, Kevin J. Edwards, Mary E. Edwards, Angelica Feurdean, David Foster, Konrad Gajewski, Mariusz Gałka, Michelle Garneau, Thomas Giesecke, Graciela Gil Romera, Martin P. Girardin, Dana Hoefer, Kangyou Huang, Jun Inoue, Eva Jamrichová, Nauris Jasiunas, Wenying Jiang, Gonzalo Jiménez-Moreno, Monika Karpińska-Kołaczek, Piotr Kołaczek, Niina Kuosmanen, Mariusz Lamentowicz, Martin Lavoie, Fang Li, Jianyong Li, Olga Lisitsyna, José Antonio López-Sáez, Reyes Luelmo-Lautenschlaeger, Gabriel Magnan, Eniko Katalin Magyari, Alekss Maksims, Katarzyna Marcisz, Elena Marinova, Jenn Marlon, Scott Mensing, Joanna Miroslaw-Grabowska, Wyatt Oswald, Sebastián Pérez-Díaz, Ramón Pérez-Obiol, Sanna Piilo, Anneli Poska, Xiaoguang Qin, Cécile C. Remy, Pierre J. H. Richard, Sakari Salonen, Naoko Sasaki, Hieke Schneider, William Shotyk, Migle Stancikaite, Dace Šteinberga, Normunds Stivrins, Hikaru Takahara, Zhihai Tan, Liva Trasune, Charles E. Umbanhowar, Minna Väliranta, Jüri Vassiljev, Xiayun Xiao, Qinghai Xu, Xin Xu, Edyta Zawisza, Yan Zhao, Zheng Zhou, and Jordan Paillard
Earth Syst. Sci. Data, 14, 1109–1124, https://doi.org/10.5194/essd-14-1109-2022, https://doi.org/10.5194/essd-14-1109-2022, 2022
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We provide a new global data set of charcoal preserved in sediments that can be used to examine how fire regimes have changed during past millennia and to investigate what caused these changes. The individual records have been standardised, and new age models have been constructed to allow better comparison across sites. The data set contains 1681 records from 1477 sites worldwide.
Benjamin Wild, Irene Teubner, Leander Moesinger, Ruxandra-Maria Zotta, Matthias Forkel, Robin van der Schalie, Stephen Sitch, and Wouter Dorigo
Earth Syst. Sci. Data, 14, 1063–1085, https://doi.org/10.5194/essd-14-1063-2022, https://doi.org/10.5194/essd-14-1063-2022, 2022
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Gross primary production (GPP) describes the conversion of CO2 to carbohydrates and can be seen as a filter for our atmosphere of the primary greenhouse gas CO2. We developed VODCA2GPP, a GPP dataset that is based on vegetation optical depth from microwave remote sensing and temperature. Thus, it is mostly independent from existing GPP datasets and also available in regions with frequent cloud coverage. Analysis showed that VODCA2GPP is able to complement existing state-of-the-art GPP datasets.
Jakob J. Assmann, Jesper E. Moeslund, Urs A. Treier, and Signe Normand
Earth Syst. Sci. Data, 14, 823–844, https://doi.org/10.5194/essd-14-823-2022, https://doi.org/10.5194/essd-14-823-2022, 2022
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In 2014 and 2015, the Danish government scanned the whole of Denmark using laser scanners on planes. The information can help biologists learn more about Denmark's natural environment. To make it easier to access the outputs from the scan, we divided the country into 10 m x 10 m squares and summed up the information most relevant to biologists for each square. The result is a set of 70 maps describing the three-dimensional architecture of the Danish landscape and vegetation.
Anna-Maria Virkkala, Susan M. Natali, Brendan M. Rogers, Jennifer D. Watts, Kathleen Savage, Sara June Connon, Marguerite Mauritz, Edward A. G. Schuur, Darcy Peter, Christina Minions, Julia Nojeim, Roisin Commane, Craig A. Emmerton, Mathias Goeckede, Manuel Helbig, David Holl, Hiroki Iwata, Hideki Kobayashi, Pasi Kolari, Efrén López-Blanco, Maija E. Marushchak, Mikhail Mastepanov, Lutz Merbold, Frans-Jan W. Parmentier, Matthias Peichl, Torsten Sachs, Oliver Sonnentag, Masahito Ueyama, Carolina Voigt, Mika Aurela, Julia Boike, Gerardo Celis, Namyi Chae, Torben R. Christensen, M. Syndonia Bret-Harte, Sigrid Dengel, Han Dolman, Colin W. Edgar, Bo Elberling, Eugenie Euskirchen, Achim Grelle, Juha Hatakka, Elyn Humphreys, Järvi Järveoja, Ayumi Kotani, Lars Kutzbach, Tuomas Laurila, Annalea Lohila, Ivan Mammarella, Yojiro Matsuura, Gesa Meyer, Mats B. Nilsson, Steven F. Oberbauer, Sang-Jong Park, Roman Petrov, Anatoly S. Prokushkin, Christopher Schulze, Vincent L. St. Louis, Eeva-Stiina Tuittila, Juha-Pekka Tuovinen, William Quinton, Andrej Varlagin, Donatella Zona, and Viacheslav I. Zyryanov
Earth Syst. Sci. Data, 14, 179–208, https://doi.org/10.5194/essd-14-179-2022, https://doi.org/10.5194/essd-14-179-2022, 2022
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The effects of climate warming on carbon cycling across the Arctic–boreal zone (ABZ) remain poorly understood due to the relatively limited distribution of ABZ flux sites. Fortunately, this flux network is constantly increasing, but new measurements are published in various platforms, making it challenging to understand the ABZ carbon cycle as a whole. Here, we compiled a new database of Arctic–boreal CO2 fluxes to help facilitate large-scale assessments of the ABZ carbon cycle.
Arial J. Shogren, Jay P. Zarnetske, Benjamin W. Abbott, Samuel Bratsman, Brian Brown, Michael P. Carey, Randy Fulweber, Heather E. Greaves, Emma Haines, Frances Iannucci, Joshua C. Koch, Alexander Medvedeff, Jonathan A. O'Donnell, Leika Patch, Brett A. Poulin, Tanner J. Williamson, and William B. Bowden
Earth Syst. Sci. Data, 14, 95–116, https://doi.org/10.5194/essd-14-95-2022, https://doi.org/10.5194/essd-14-95-2022, 2022
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Rapidly sampling multiple points in an entire river network provides a high-resolution snapshot in time that can reveal where nutrients and carbon are being taken up and released. Here, we describe two such datasets of river network chemistry in six Arctic watersheds in northern Alaska. We describe how these repeated snapshots can be used as an indicator of ecosystem response to climate change and to improve predictions of future release of carbon, nutrient, and other solutes.
Lore T. Verryckt, Sara Vicca, Leandro Van Langenhove, Clément Stahl, Dolores Asensio, Ifigenia Urbina, Romà Ogaya, Joan Llusià, Oriol Grau, Guille Peguero, Albert Gargallo-Garriga, Elodie A. Courtois, Olga Margalef, Miguel Portillo-Estrada, Philippe Ciais, Michael Obersteiner, Lucia Fuchslueger, Laynara F. Lugli, Pere-Roc Fernandez-Garberí, Helena Vallicrosa, Melanie Verlinden, Christian Ranits, Pieter Vermeir, Sabrina Coste, Erik Verbruggen, Laëtitia Bréchet, Jordi Sardans, Jérôme Chave, Josep Peñuelas, and Ivan A. Janssens
Earth Syst. Sci. Data, 14, 5–18, https://doi.org/10.5194/essd-14-5-2022, https://doi.org/10.5194/essd-14-5-2022, 2022
Short summary
Short summary
We provide a comprehensive dataset of vertical profiles of photosynthesis and important leaf traits, including leaf N and P concentrations, from two 3-year, large-scale nutrient addition experiments conducted in two tropical rainforests in French Guiana. These data present a unique source of information to further improve model representations of the roles of N and P, and other leaf nutrients, in photosynthesis in tropical forests.
Cited articles
AMMA-CATCH: Vegetation dataset (seasonal dynamics of herbaceous
vegetation), within the Hombori site (2500 km2), Mali,
IRD, CNRS-INSU, OSUG, OMP, OREME, https://doi.org/10.17178/AMMA-CATCH.CE.Veg_Gh,
2005.
Baret, F. and Weiss, M.: Can-Eye: processing digital photographs for canopy
structure characterization, CAN EYE tutorial document, INRA-EMMAH UMR 114,
Avignon, France, available at: https://www6.paca.inra.fr/can-eye
(last access: 13 May 2019), 2004.
Baret, F., Weiss, M., Allard, D., Garrigue, S., Leroy, M., Jeanjean, H.,
Fernandes, R., Myneni, R., Privette, J., Morisette, J., Bohbot, H., Bosseno,
R., Dedieu, G., Di Bella, C., Duchemin, B., Espana, M., Gond, V., Gu, X.F.,
Guyon, D., Lelong, C., Maisongrande, P., Mougin, E., Nilson, T.,
Veroustraete, F., and Vintilla, R.: VALERI: a network of sites and a methodology
for the validation of medium spatial resolution land satellite products,
doi:10.1.1.452, available at: https://www.academia.edu/
(last access: 13 May 2019), 2005.
Baret, F., Morissette, J. T., Fernandes, R. A., Champeaux, J. L., Myneni,
Ranga B., Chen, J., Plummer, S., Weiss, M., Bacour, C., Garrigues, S., and
Nickeson, J. E.: Evaluation of the Representativeness of Networks of Sites
for the lobal Validation and Intercomparison of Land Biophysical Products:
Proposition of the CEOS-BELMANIP, IEEE Trans. Geosci. Remote
Sens., 44, 1794–1803, https://doi.org/10.1109/TGRS.2006.876030, 2006.
Baret, F., Weiss, M., Lacaze, R., Camacho, F., Makmara, H., Pacholczyk, P.,
and Smets, B.: GeoV1: LAI, FAPAR Essential Climate Variables and FCOVER global time
series capitalizing over existing products. Part 1: Principles of
development and production, Remote Sens. Environ., 137, 299–309,
https://doi.org/10.1016/j.rse.2012.12.027, 2013.
Bojinski, S., Verstraete, M., Peterson, T. C., Richter, C., Simmons, A.,
and Zemp, M.: The concept of Essential Climate Variables in support of climate
research, applications, and policy, B. Am. Meteorol.
Soc., 95, 1431–1443, https://doi.org/10.1175/BAMS-D-13-00047.1, 2014.
Boone, A., de Rosnay, P., Balsamo, G., Beljaars, A., Chopin, F., Decharme,
B., Delire, C., Ducharne, A., Gascoin, S., Guichard, F., Gusev, Y., Harris,
P., Jarlan, L., Kergoat, L., Mougin, E., Nasonova, O., Norgaard, A., Orgeval,
T., Ottlé, C., Poccard-Leclercq, I., Polcher, J., Sandholt, I.,
Saux-Picart, S., Taylor, C. M., and Xue, Y.: The AMMA Land Surface Model
Intercomparison Project (ALMIP), B. Am. Meteorol. Soc., 90,
1865–1880, https://doi.org/10.1175/2009BAMS2786.1, 2009a.
Boone, A., Getirana, A. C. V., Demarty, J., Cappelaere, B., Galle, S., Grippa,
M., Lebel, T., Mougin, E., Peugeot, C., and Vischel, T.: AMMA Land Surface Model
Intercomparison Project Phase 2 (ALMIP-2), Gewex News, 9(4), International
GEWEX Project Office, Silver Spring, MD, 9–10, 2009b.
Boulain, N., Cappelaere, B., Ramier, D., Issoufou, H. B. A., Halilou, O.,
Seghieri, J., Guillemin, F., Oi, M., Gignoux, J., and Timouk, F.: Towards an
understanding of coupled physical and biological processes in the cultivated
Sahel. 2. Vegetation and carbon dynamics, J. Hydrol., 375, 190–203,
https://doi.org/10.1016/j.jhydrol.2008.11.045, 2009.
Breman, H. and Cissé, A. M.: Dynamics of sahelian pastures in
relation to drought and grazing, Oecologia, 28, 301–315,
https://doi.org/10.1007/BF00345986, 1977.
Camacho, F., Cernicharo, J., Lacaze, R., Baret, F., and Weiss, M.: GEOV1: LAI,
FAPAR essential climate variables and FCOVER global time series capitalizing
over existing products, Part 2: Validation and intercomparison with
reference products, Remote Sens. Environ., 137, 310–329,
https://doi.org/10.1016/j.rse.2013.02.030, 2013.
Carlson, T. N. and Ripley, D. A.: On the relation between NDVI, fractional
vegetation cover, and Leaf Area Index, Remote Sens. Environ., 62, 241–252,
https://doi.org/10.1016/S0034-4257(97)00104-1, 1997.
Chen, J. M. and Black, T. A.: Defining leaf area index for non-flat leaves,
Plant Cell Environ., 15, 421–429, https://doi.org/10.1111/j.1365-3040.1992.tb00992.x, 1992.
Chen, J. M., Rich, P. M., Gower, S. T., Norman, J. M., and Plummer, S.: Leaf area
index of boreal forests – Theory, techniques, and measurements, J.
Geophys. Res., 102, 29429–29443, https://doi.org/10.1029/97JD01107, 1997.
Delon, C., Mougin, E., Serça, D., Grippa, M., Hiernaux, P., Diawara, M.,
Galy-Lacaux, C., and Kergoat, L.: Modelling the effect of soil moisture and
organic matter degradation on biogenic NO emissions from soils in Sahel
rangeland (Mali), Biogeosciences, 12, 3253–3272,
https://doi.org/10.5194/bg-12-3253-2015, 2015.
Demarez, V., Dutoit, S., Baret, F., Weiss, M., and Dedieu, G.: Estimation of
leaf area and clumping indexes of crops with hemispherical photographs,
Agr. Forest Meteorol. 148, 644–655, https://doi.org/10.1016/j.agrformet.2007.11.015,
2008.
Fang, H., Wei, S., and Liang, S.: Validation of MODIS and CYCLOPES LAI products
using global field measurement data, Remote Sens. Environ., 119, 43–54,
https://doi.org/10.1016/j.rse.2011.12.006, 2012.
Fensholt, R., Sandholt, I., Rasmussen, M. S., Stisen, S., and Diouf, A.:
Evaluation of satellite based primary production modeling in the semi-arid
Sahel, Remote Sens. Environ., 105, 173–188,
https://doi.org/10.1016/j.rse.2003.07.002, 2006.
François, M., Santandrea, S., Mellab, K., Davy Vrancken,
D., and Versluys, J.:
The PROBA-V mission: the space segment, Int. J.f Remote
Sens., 35, 2548–2564, https://doi.org/10.1080/01431161.2014.883098, 2014.
Gaillardet, J., Braud, I., et al.: OZCAR: the French network of Critical
Zone Observatories, Vadose Zone J., Special issue on Hydrological
Observatories, 17, 180067, https://doi.org/10.2136/vzj2018.04.0067, 2018.
Galle, S., Grippa, M., Peugeot, C., Bouzou Moussa, I., Cappelaere, B.,
Demarty, J., Mougin, E., Panthou, G., Adjomayi, P., Agbossou, E. K., Ba, A.,
Boucher, M., Cohard, J.-M., Descloitres, M., Descroix, L., Diawara, M.,
Dossou, M., Favreau, G., Gangneron, F., Gosset, M., Hector, B., Hiernaux,
P., Issoufou, B.-A., Kergoat, L., Lawin, E., Lebel, T., Malam Abdou, M.,
Malam-Issa, O., Mamadou, O., Nazoumou, Y., Pellarin, T., Quantin, G.,
Sambou, B., Seghieri, J., Séguis, L., Vandervaere, J-P., Vischel, T.,
Vouillamoz, J.-M., Wubda, M., Zannou, A., Alhassane, A., Afouda, S.,
Arjounin, M., Barral, H., Biron, R., Boubkraoui, S., Chaffard, V., Cazenave,
F., Chazarin, J.-P., Guyard, H., Koné, A., Mainassara, I., Maman, A., Oi,
M., Ouani, T., Soumaguel, N., Ago, E. E., Allé, C., Allies, A.,
Arpin-Pont, F., Awessou, B., Cassé, C., Charvet, G., Dardel, C.,
Depeyre, A., Diallo, B., Do, T., Fatras, C., Gal, L., Gascon, T., Gibon, F.,
Guiro, I., Ingatan, A., Kempf, J., Kotchoni, V., Lawson, F., Léauthaud,
C., Louvet, S., Mason, E., Nguyen, C. C., Perrimond, B., Pierre, C.,
Richard, A., Robert, E., Roman, C., Velluet, C., and Wilcox, C.: AMMA-CATCH a
critical zone observatory in West Africa monitoring a region in transition,
in: Vadose Zone
J., edited by: Jensen, K. H., Bogena, H., White, T., Li, X., and Bour, O.,
Special issue on Hydrological Observatories, https://doi.org/10.2136/vzj2018.03.0062, 2018.
Garrigues, S., Allard, D., Baret, F., and Weiss, M.: Influence of the spatial
heterogeneity on the non linear estimation of Leaf Area Index from moderate
resolution remote sensing data, Remote Sens. Environ., 106, 286–298,
https://doi.org/10.1016/j.rse.2006.07.013, 2006.
Garrigues, S., Lacaze, R., Baret, F., Morisette, J. T., Weiss, M., Nickeson,
J. E., Fernandes, R., Plummer, S., Shabanov, N. V., Myneni, R. B., Knyazikhin,
Y., and Yang, W.: Validation and intercomparison of global leaf area index
products derived from remote sensing data, J. Geophys. Res.-Biogeosci., 113,
G02028, https://doi.org/10.1029/2007JG000635, 2008.
GCOS: Systematic Observation Requirements for Satellite-based Products for
Climate, Supplemental Details to the Satellite-based Component of the
Implementation Plan for the Global Observing System for Climate in Support
of the UNFCCC (update, December), available at:
https://library.wmo.int/index.php?lvl=notice_display&id=12907#.XNleX6Q6-Ul
(last access: 13 May 2019), 2011.
Grippa, M., Kergoat, L., Boone, A., Peugeot, C., Demarty, J., Cappelaere, B.,
Gal, L., Hiernaux, P., Mougin, E., Ducharne, A., Dutra, E., Anderson, M., Hain, C.,
Ait-Mesbah, S., Balsamo, G., Bousetta, S., Chaffard, V., Chan, E., Cohard, J. M.,
Favot, F., Gascon, T., Galle, S., Gosset, M., Guichard, F., Gusev, Y., Harris, P.,
He, X., Hector, B., Kaptue, A., Kazuaki, Y., Kim, H., Kumar, S., Lebel, T., Lo, M.-H.,
Mahanama, S., Magand, C., Maignan, F., Mamadou, O., Nasonova, O., Oki, T.,
Ottlé, C., Pellarin, T., Pierre, C., Richard, A., Roujean, J.-L., Polcher, J.,
Quantin, G., Séguis, L., Shmakin, A., Shunji, K., Sokratov, V., Tanaka, K.,
Turkov, D., Velluet, C., Verseghy, D., Vischel, T., and Zin, I.: Modelling surface
runoff and water fluxes over contrasted soils in pastoral Sahel: evaluation
of the ALMIP-2 land surface models over the Gourma region in Mali, J.
Hydrometeorol., ALMIP-2 special issue, 1847–1865,
https://doi.org/10.1175/JHM-D-16-0170.1, 2017.
Guichard, F., Kergoat, L., Mougin, E., Timouk, F., Baup, F., and Lavenu, F.:
Surface thermodynamics and radiative budget in the sahelian Gourma. Seasonal
and diurnal cycles, J. Hydrol., AMMA CATCH special issue,
375, 161–177, https://doi.org/10.1016/j.jhydrol.2008.09.007, 2009.
Hanan, N. P. and Bégué, A.: A method to estimate instantaneous and
daily intercepted photosynthetically active radiation using a hemispherical
sensor, Agr. Forest Meteorol., 74, 155–168,
https://doi.org/10.1016/0168-1923(94)02196-Q, 1995.
He, L., Liu, J., Chen, J. M., Croft, H., Wang, R., Sprintsin, M., Zheng, T.,
Ryu, Y., Pisek, J., Gonsamo, A., Deng, F., and Zhang, Y.: Inter-and intra-annual
variations of clumping index derived from the MODIS BRDF product, Int. J.
Appl. Earth Obs. Geoinformation, 44, 53–60, https://doi.org/10.1016/j.jag.2015.07.007,
2016.
Hiernaux, P. and Le Houérou, H. N.: Les parcours du Sahel,
Sècheresse, 17, 51–71, 2006.
Hiernaux, P., Cissé, M. I., and Diarra, L.: Bilan d'une saison des
pluies 1984 très déficitaire dans le Gourma (Sahel malien),
Première campagne de suivi et télédétection
expérimentale, Annexe: Fiches descriptives des sites, Addis Ababa,
Ethiopia: ILCA, 90 p., 1984.
Hiernaux, P., Mougin, E., Diarra, L., Soumaguel, N., Lavenu, F., Tracol, Y.,
and Diawara, M.: Rangeland response to rainfall and grazing pressure over two
decades: herbaceous growth pattern, production and species composition in
the Gourma, Mali, J. Hydrol., 375, 114–127,
https://doi.org/10.1016/j.jhydrol.2008.11.005, 2009a.
Hiernaux, P., Lassine, D., Trichon, V., Mougin, E., and Baup, F.: Woody plant
population dynamics in response to climate changes from 1984 to 2006 in
Sahel (Gourma, Mali), J. Hydrol., 375, 103–113,
https://doi.org/10.1016/j.jhydrol.2009.01.043, 2009b.
Jarlan, L., Mangiarotti, S., Mougin, E., Hiernaux, P., Mazzega, P., and Le
Dantec, V.: Assimilation of SPOT/VGT-NDVI data into a sahelian grassland
model, Remote Sens. Environ., 112, 1381–1394, https://doi.org/10.1016/j.rse.2007.02.041,
2008.
Kucharik, C. J., Norman, J. M., and Gower, S. T.: Measurements of branch area and
adjusting leaf area index indirect measurements, Agr. Forest
Meteorol., 91, 69–88, https://doi.org/10.1016/S0168-1923(98)00064-1, 1998.
Lebel, T., Diedhiou, A., and Laurent, H.: Seasonal cycle and interannual
variability of the Sahelian rainfall at hydrological scales, J. Geophys. Res.,
108, 8389, https://doi.org/10.1029/2001JD001580, 2003.
Lebel, T., Cappelaere, B., Descroix, L., Galle, S., Hanan, N.P., Kergoat,
L., Levis, S., Mougin, E., Peugeot, C., and Vieux, B.: AMMA-CATCH studies in the
Sahelian region of West-Africa: an overview, J. Hydrol., 375, 3–13,
https://doi.org/10.1016/j.jhydrol.2009.03.020, 2009.
Lebel, T., Parker, D. J., Flamant, C., Bourles, B., Marticorena, B., Mougin,
E., Peugeot, C., Diedhiou, A., Haywood, J., Ngamini, J. B., Polcher, J.,
Redelsperger, J.-L., and Thorncroft, C. D.: The AMMA field campaigns: Multiscale
and multidisciplinary observations in the West African region, Q. J. Roy. Meteorol. Soc., AMMA
Special Issue, 136, 8–33, https://doi.org/10.1002/qj.486, 2010.
Le Houérou, H. N.: The grazing land ecosystems of the African Sahel.
Ecological studies, 75, Springer-Verlag, Berlin, 282 pp., 1989.
Levy, P. E. and Jarvis, P. G.: Direct and indirect measurements of LAI in millet
and fallow vegetation in HAPEX-Sahel, Agr. Forest Meteorol., 97, 199–212,
https://doi.org/10.1016/S0168-1923(98)00092-6, 1999.
McCallum, I., Wagner, W., Schmullius, C., Shvidenko, A.,
Obersteiner, M., Fritz, S., and Nilsson, S.: Satellite-based terrestrial production efficiency
modeling, Carbon Bal. Manage., 4, 8, https://doi.org/10.1186/1750-0680-4-8,
2009.
Morisette, J. T., Baret, F., Privette, J. L., Myneni, R. B.,
Nickeson, J. E.,
Garrigues, S., Shabanov, N. V., Weiss, M., Fernandes, R. A., Sylvain, G.,
Leblanc, S. G., Kalacska, M., Arturo Sánchez-Azofeifa, G.,
Chubey, M., Rivard, B., Stenberg, P., Rautiainen, M., Voipio, P.,
Manninen, T., Pilant, A. N., Lewis, T. E., Iiames, J. S.,
Colombo, R., Meroni, M., Busetto, L., Cohen, W. B., Turner, D. P.,
Warner, E. D., Petersen, G. W., Seufert, G., and Cook, R.: Validation
of global moderate-resolution LAI products: A framework proposed within the
CEOS land product validation subgroup, IEEE Trans. Geosci.
Remote Sens., 44, 1804–1817, https://doi.org/10.1109/TGRS.2006.872529, 2006.
Mougin, E., Lo Seen, D., Rambal, S., Gaston, A., and Hiernaux, P.: A regional
Sahelian grassland model to be coupled with multispectral satellite data. I.
Description and validation, Remote Sens. Environ., 52, 181–193,
https://doi.org/10.1016/0034-4257(94)00126-8, 1995.
Mougin, E., Hiernaux, P., Kergoat, L., Grippa, M., de Rosnay, P., Timouk,
F., Le Dantec, V., Demarez, V., Lavenu, F., Arjounin, M., Lebel, T.,
Soumaguel, N., Ceschia, E., Mougenot, B., Baup, F., Frappart, F., Frison,
P.L., Gardelle, J., Gruhier, C., Jarlan, L., Mangiarotti, S., Sanou, B.,
Tracol, Y., Guichard, F., Trichon, V., Diarra, L., Soumaré, A.,
Koité, M., Dembélé, F., Lloyd, C., Hanan, N.P., Damesin, C.,
Delon, C., Serça, D., Galy-Lacaux, C., Seghieri, J., Becerra, S., Dia,
H., Gangneron, F., and Mazzega, P.: The AMMA Gourma observatory site in Mali:
Relating climatic variations to changes in vegetation, surface hydrology,
fluxes and natural resources, J. Hydrol., 375, 14–33,
https://doi.org/10.1016/j.jhydrol.2009.06.045, 2009a.
Mougin, E., Demarez, V., Grippa, M., Hiernaux, P., Larouzière, L., Lion,
C., Diawara, M., and Soumaguel, N.: Evaluation of MODIS LAI products in a
Sahelian environment (Gourma, Mali), poster presented at the 4th Global
Vegetation Workshop, Univ. of Mont., Missoula, 2009b.
Mougin, E., Demarez, V., Diawara, M., Hiernaux, P., Soumaguel, N., and Berg, A.:
Estimation of LAI, fCover and fAPAR of Sahel rangelands (Gourma, Mali),
Agr. Forest Meteorol., 198–199, 155–167, https://doi.org/10.1016/j.agrformet.2014.08.006,
2014.
Myneni, R. B. and Williams, D. L.: On the relationship between FAPAR and
NDVI, Remote Sens. Envioron., 49, 200–211, https://doi.org/10.1016/0034-4257(94)90016-7, 1994.
Myneni, R. and Park, Y. K. T.: MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day
L4 Global 500m SIN Grid V006, NASA EOSDIS Land Processes DAAC,
https://doi.org/10.5067/MODIS/MOD15A2H.006, 2015.
Myneni, R. B., Hoffman, S., Knyazikhin, Y., Privette, J. L., Glassy, J.,
Tian, Y., Wang, Y. J., Song, X., Zhang, Y. M., Smith, G. R., Lotsch, A., Friedl,
M., Morisette, J. T., Votava, P., Nemani, R. R., and Running, S. W.: Global products
of vegetation leaf area and absorbed PAR from year one of MODIS data, Remote
Sens. Environ., 83, 214–231, https://doi.org/10.1016/S0034-4257(02)00074-3, 2002.
Nicholson, S., Tucker, C. J., and Ba, M. B.: Desertification, Drought, and Surface
Vegetation: An Example from the West African Sahel, B. Am.
Meteorol. Soc., 79, 815–829,
https://doi.org/10.1175/1520-0477(1998)079<0815:DDASVA>2.0.CO;2 , 1998.
Penning De Vries, F. w. T. and Djitèye, M. A. (Eds.):
La productivité des paturages sahéliens, PUDOC Publ.,
Center for Agie. Puol and Docum., Wageningen, 525 pp., 1982.
Pierre, C., Bergametti, G., Marticorena, B., Mougin, E., Bouet, C., and
Schmechtig, C.: Impact of vegetation and soil moisture seasonal dynamics on
dust emissions over the Sahelian belt in West Africa, J. Geophys. Res., 117,
D06115, https://doi.org/10.1029/2011JD016950, 2012.
Pierre, C., Grippa, M., Mougin, E., Guichard, F., and Kergoat, L.: Changes in
Sahelian annual vegetation growth and phenology since 1960: a modeling
approach, Global Planet. Change, 143, 162–174,
https://doi.org/10.1016/j.gloplacha.2016.06.009, 2016.
Pisek, J., Ryu, Y., Sprintsin, M., He, L., Oliphant, A. J., Korhonen, L.,
Kuusk, J., Kuusk, A., Bergstrom, R., Verrelst, J., and Alikas, K.: Retrieving
vegetation clumping index from multi-angle imaging SpectroRadiometer (MISR)
data at 275 m resolution, Remote Sens. Environ., 138, 126–133,
https://doi.org/10.1016/j.rse.2013.07.014, 2013.
Potter, C. S., Randerson, J. T., Field, C. B., Matson, P. A., Vitousek, P. M.,
Mooney, H. A., and Klooster, S. A.: Terrestrial ecosystem production: A process
model based on global satellite and surface data, Global Biogeochem. Cy.,
7, 811–841, https://doi.org/10.1029/93GB02725, 1993.
Privette, J. L., Myneni, R. B., Knyazikhin, Y., Mukelabai, M., Roberts, G.,
Tian, Y., Wang, Y., and Leblanc, S. G.: Early spatial and temporal validation of
MODIS LAI product in the Southern Africa Kalahari, Remote Sens.
Environ., 83, 232–243, https://doi.org/10.1016/S0034-4257(02)00075-5, 2002.
Redelsperger, J.-L., Thorncroft, C., Diedhiou, A., Lebel, T., Parker, D. J.,
and Polcher, J.: African Monsoon Multidisciplinary Analysis (AMMA): An
international research project and field campaign, B. Am. Meteorol. Soc.
87, 1739–1746, https://doi.org/10.1175/BAMS-87-12-1739, 2006.
Running, S. W. and Gower, S. T.: FOREST-BGC, a general model of forest ecosystem
processes for regional applications, II. Dynamic carbon allocation and
nitrogen budgets, Tree Physiol., 9, 147–160, https://doi.org/10.1093/treephys/9.1-2.147,
1991.
Running, S. W., Nemani, R. R., Heinsch, F. A., Zhao, M. S., Reeves, M., and
Hashimoto, A.: Continuous satellite-derived measure of global terrestrial
primary production, Bioscience, 54, 547–560, https://doi.org/10.1641/0006-3568(2004)054[0547:ACSMOG]2.0.CO;2,
2004.
Samain, O., Kergoat, L., Hiernaux, P., Guichard, F., Mougin, E.,
Timouk, F., and Lavenu, F.: Analysis of the in-situ and MODIS albedo variability at
multiple time scales in the Sahel, J. Geophys. Res.-Atmos., 113,
D14119, https://doi.org/10.1029/2007JD009174, 2008.
Sea, W. B., Choler, P., Beringer, J., Weinmann, R. A., Hutley, L. B., and
Leuning, R.: Documenting improvement in leaf area index estimates from MODIS
using hemispherical photos for Australian savannas, Agr. Forest
Meteorol., 151, 1453–1461, https://doi.org/10.1016/j.agrformet.2010.12.006, 2011.
Sellers, P. J.: Canopy reflectance, photosynthesis and transpiration,
Int. J. Remote Sens., 6, 1335–1372,
https://doi.org/10.1080/01431168508948283, 1985.
Soegaard, H., Lund, M. R., and Bolwig, S.: A comparison of modelled and measured
millet production in northeastern Burkina Faso.Geografisk Tidsskrift, Danish
J. Geogr., Special Issue, 2, 69–80, 1999.
Stige, L. C., Stave, J., Chan, K.-S., Ciannelli, L., Pettorelli, N., Glantz,
M., and Stenseth, N. C.: The effect of climate variation on agro-pastoral
production in Africa, P. Natl. Acad. Sci. USA,
103, 3049–3053, https://doi.org/10.1073/pnas.0600057103, 2006.
Timouk, F., Kergoat, L., Mougin, E., Lloyd, C., Ceschia, E., de Rosnay, P.,
Hiernaux, P., and Demarez, V.: Response of sensible heat flux to water regime
and vegetation development in a central Sahelian landscape, J. Hydrol., AMMA
CATCH special issue, 375, 178–189, https://doi.org/10.1016/j.jhydrol.2009.04.022,
2009.
Tracol, Y., Mougin, E., Jarlan, L., and Hiernaux, P.: Testing a sahelian
grassland functioning model against herbage mass measurements, Ecol. Model.,
193, 437–446, https://doi.org/10.1016/j.ecolmodel.2005.08.033, 2006.
Verger, A., Baret, F., Weiss, M., Filella, J., and Peñuelas, J.: GEOCLIM: A
global climatology of LAI, FAPAR, and FCOVER from VEGETATION observations
for 1999–2010, Remote Sens. Environ., 166, 126–137,
https://doi.org/10.1016/j.rse.2015.05.027, 2015.
Wang, L., Good, S. P., and Caylor, K. K.: Global synthesis of vegetation control
on evapotranspiration partitioning, Geophys. Res. Lett., 41, 6753–6757,
https://doi.org/10.1002/2014GL061439, 2014.
Wang, Y. P., Houlton, B. Z., and Field, C. B.: A model of biogeochemical cycles
of carbon, nitrogen, and phosphorus including symbiotic nitrogen fixation
and phosphatase production, Global Biochem. Cy., 21, GB1018,
https://doi.org/10.1029/2006GB002797, 2007.
Watson, D. J.: Comparative physiological studies in growth of field crops. I.
Variation in net assimilation rate and leaf area between species and
varieties, and within and between years, Ann. Bot., 11, 41–76, 1947.
Weiss, M., Baret, F., Smith, G. J., Jonckheere, I., and Coppin, P.: Review of
methods for in situ leaf area index (LAI) determination. Part II. Estimation
of LAI, errors and sampling, Agr. Forest Meteorol., 121, 37–53,
https://doi.org/10.1016/j.agrformet.2003.08.001, 2004.
Weiss, M., Baret, F., Garrigues, S., and Lacaze, R.: LAI and FPAR CYCLOPES
global products derived from VEGETATION. Part 2. Validation and comparison
with MODIS collection 4 products, Remote Sens. Environ., 110, 317–331,
https://doi.org/10.1016/j.rse.2007.03.001, 2007.
Wolfe, R. E., Devadiga, S., Masuoka, E. J., Running, S. W., Vermote, E.,
Giglio, L., Wan, Z., Riggs, G. A., Schaaf, C., Myneni, R. B., Friedl, M. A.,
Wang, Z., Sulla-menashe, D. J., and Zhao, M.: Improvements to the MODIS Land
Products in Collection Version 6, Abstract id. B41D-0430, available at:
http://adsabs.harvard.edu/abs/2013AGUFM.B41D0430W (last access: 13 May 2019), American Geophysical
Union, Fall Meeting, 2013.
Xiao, Z., Wang, T., Liang, S., and Sun, R.: Estimating the Fractional Vegetation
Cover from GLASS Leaf Area Index Product, Remote Sens., 8, 1–19,
https://doi.org/10.3390/rs8040337, 2016.
Xu, B., Park, T., Yan, K., Chen, C., Zeng, Y., Song, W., Yin, G., Li, J.,
Liu, Q., Knyazikhin, Y., and Myneni, R. B.: Analysis of Global LAI/FPAR
Products from VIIRS and MODIS Sensors for Spatio-Temporal Consistency and
Uncertainty from 2012–2016, Forests, 9, 73, https://doi.org/10.3390/f9020073, 2018a.
Xu, B., Li, J., Park, T., Liu, G., Zeng, Y., Yin, G., Zhao, J., Fan, W.,
Yang, L., Knyazikhin, Y., and Myneni, R. B.: An integrated method for
validating long-term leaf area index products using global networks of
site-based measurements, Remote Sens. Environ., 209, 134–151, https://doi.org/10.1016/j.rse.2018.02.049, 2018b.
Yan, K., Park, T., Yan, G., Chen, C., Yang, B., Liu, Z.,
Nemani, R. R., Knyazikhin, Y., and Myneni, R. B.: Evaluation of MODIS LAI/FPAR
Product Collection 6. Part 1: Consistency and Improvements, Remote Sens., 8,
359, https://doi.org/10.3390/rs8050359, 2016a.
Yan, K., Park, T., Yan, G., Chen, C., Yang, B., Liu, Z., Nemani, R. R.,
Knyazikhin, Y., and Myneni, R. B.: Evaluation of MODIS LAI/FPAR Product
Collection 6. Part 2: Validation and intercomparison, Remote Sens.,
8, 460, https://doi.org/10.3390/rs8060460, 2016b.
Short summary
The leaf area index of Sahelian rangelands was measured between 2005 and 2017 in northern Mali. These observations collected over more than a decade, in a remote and not very accessible region, provide a relevant and unique data set that can be used for a better understanding of the Sahelian vegetation response to the current rainfall changes. The collected data can also be used for satellite product evaluation and land surface model validation.
The leaf area index of Sahelian rangelands was measured between 2005 and 2017 in northern Mali....
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