The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations : научное издание | Научно-инновационный портал СФУ

The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations : научное издание

Тип публикации: статья из журнала

Год издания: 2021

Идентификатор DOI: 10.5194/essd-13-3927-2021

Аннотация: The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a global, spatially explicit dataset of above-ground live biomass (AGB; dry mass) stored in forests with a spatial resolution of 1 ha. Using an extensive database of 110 897 AGB measurements from field inventory plots, we show that the spatial patterns and magnitude of AGB are well captured in our map with the exception of regional uncertainties in high-carbon-stock forests with AGB > 250 Mg ha(-1), where the retrieval was effectively based on a single radar observation. With a total global AGB of 522 Pg, our estimate of the terrestrial biomass pool in forests is lower than most estimates published in the literature (426-571 Pg). Nonetheless, our dataset increases knowledge on the spatial distribution of AGB compared to the Global Forest Resources Assessment (FRA) by the Food and Agriculture Organization (FAO) and highlights the impact of a country's national inventory capacity on the accuracy of the biomass statistics reported to the FRA. We also reassessed previous remote sensing AGB maps and identified major biases compared to inventory data, up to 120% of the inventory value in dry tropical forests, in the subtropics and temperate zone. Because of the high level of detail and the overall reliability of the AGB spatial patterns, our global dataset of AGB is likely to have significant impacts on climate, carbon, and socio-economic modelling schemes and provides a crucial baseline in future carbon stock change estimates.

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Издание

Журнал: EARTH SYSTEM SCIENCE DATA

Выпуск журнала: Vol. 13, Is. 8

Номера страниц: 3927-3950

ISSN журнала: 18663508

Место издания: GOTTINGEN

Издатель: COPERNICUS GESELLSCHAFT MBH

Персоны

  • Santoro Maurizio (Gamma Remote Sensing, CH-3073 Gumlingen, Switzerland)
  • Cartus Oliver (Gamma Remote Sensing, CH-3073 Gumlingen, Switzerland)
  • Carvalhais Nuno (Max Planck Inst Biogeochem, Hans Knoll Str 10, D-07745 Jena, Germany; Univ Nova Lisboa, Fac Ciencias & Tecnol, Dept Ciencias & Engn Ambiente, FCT,DCEA, P-2829516 Caparica, Portugal)
  • Rozendaal Danae M. A. (Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands; Wageningen Univ & Res, Plant Prod Syst Grp, POB 430, NL-6700 AK Wageningen, Netherlands; Wageningen Univ & Res, Ctr Crop Syst Anal, POB 430, NL-6700 AK Wageningen, Netherlands)
  • Avitabile Valerio (European Commiss, Joint Res Ctr, Ispra, Italy)
  • Araza Arnan (Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands)
  • de Bruin Sytze (Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands)
  • Herold Martin (Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands)
  • Quegan Shaun (Univ Sheffield, Natl Ctr Earth Observat NCEO, Sheffield S3 7RH, S Yorkshire, England)
  • Rodriguez-Veiga Pedro (Univ Leicester, Ctr Landscape & Climate Res, Sch Geog Geol & Environm, Leicester LE1 7RH, Leics, England; Natl Ctr Earth Observat NCEO, Leicester LE1 7RH, Leics, England)
  • Balzter Heiko (Univ Leicester, Ctr Landscape & Climate Res, Sch Geog Geol & Environm, Leicester LE1 7RH, Leics, England; Natl Ctr Earth Observat NCEO, Leicester LE1 7RH, Leics, England)
  • Carreiras Joao (Univ Sheffield, Natl Ctr Earth Observat NCEO, Sheffield S3 7RH, S Yorkshire, England)
  • Schepaschenko Dmitry (Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria; Russian Acad Sci, Ctr Forest Ecol & Prod, Profsoyuznaya 84-32-14, Moscow 117997, Russia; Siberian Fed Univ, Inst Ecol & Geog, 79 Svobodny Prospect, Krasnoyarsk 660041, Russia)
  • Korets Mikhail (Russian Acad Sci, Lab Ecophysiol Permafrost Syst, VN Sukachev Inst Forest, Siberian Branch,Separated Dept KSC SB RAS, Krasnoyarsk 660036, Russia)
  • Shimada Masanobu (Tokyo Denki Univ, Div Architectural Civil & Environm Engn, Sch Sci & Engn, Hiki, Saitama 3500394, Japan)
  • Itoh Takuya (Remote Sensing Technol Ctr Japan, Minato Ku, Tokyu Reit Toranomon Bldg,3f,3-17-1 Toranomon, Tokyo 1050001, Japan)
  • Moreno Martinez Alvaro (Univ Valencia, Image Proc Lab IPL, Valencia, Spain; Univ Montana, Numer Terradynam Simulat Grp NTSG, Missoula, MT 59812 USA)
  • Cavlovic Jura (Univ Zagreb, Fac Forestry & Wood Technol, Dept Forest Inventory & Management, Zagreb 10000, Croatia)
  • Gatti Roberto Cazzolla (Tomsk State Univ, Biol Inst, Tomsk 634050, Russia)
  • Bispo Polyanna da Conceicao (Univ Leicester, Ctr Landscape & Climate Res, Sch Geog Geol & Environm, Leicester LE1 7RH, Leics, England; Univ Manchester, Sch Environm Educ & Dev, Dept Geog, Oxford Rd, Manchester M13 9PL, Lancs, England)
  • Dewnath Nasheta (Guyana Forestry Commiss, 1 Water St, Georgetown, Guyana)
  • Labriere Nicolas (UMR 5174 CNRS IRD UPS, Lab Evolut & Diversit Biol, F-31062 Toulouse 9, France)
  • Liang Jingjing (Purdue Univ, Dept Forestry & Nat Resources, 715 State St, W Lafayette, IN 47907 USA)
  • Lindsell Jeremy (Rocha Int, Cambridge, England; RSPB Ctr Conservat Sci, Sandy, Beds, England)
  • Mitchard Edward T. A. (Univ Edinburgh, Sch GeoSci, Crew Bldg,Kings Bldg, Edinburgh EH9 3FF, Midlothian, Scotland)
  • Morel Alexandra (Univ Dundee, Dept Geog & Environm Sci, Dundee, Scotland)
  • Pascagaza Ana Maria Pacheco (Univ Leicester, Ctr Landscape & Climate Res, Sch Geog Geol & Environm, Leicester LE1 7RH, Leics, England; Univ Manchester, Sch Environm Educ & Dev, Dept Geog, Oxford Rd, Manchester M13 9PL, Lancs, England)
  • Ryan Casey M. (Univ Edinburgh, Sch GeoSci, Crew Bldg,Kings Bldg, Edinburgh EH9 3FF, Midlothian, Scotland)
  • Slik Ferry (Univ Brunei Darussalam, Fac Sci, Jln Tungku Link, BE-1410 Gadong, Brunei; Amma Remote Sensing, CH-3073 Gumlingen, Switzerland)
  • Laurin Gaia Vaglio (Univ Tuscia, Dept Innovat Biol Agrofood & Forest Syst DIBAF, I-01100 Viterbo, Italy)
  • Verbeeck Hans (Univ Ghent, Dept Environm, CAVElab Computat & Appl Vegetat Ecol, Coupure Links 653, B-9000 Ghent, Belgium)
  • Wijaya Arief (World Resources Inst Indonesia WRI Indonesia, Dept Res Data & Innovat, Wisma PMI, 3rd Floor,Jl Wijaya I-63, Kebayoran Baru, South Jakarta, Indonesia)
  • Willcock Simon (Bangor Univ, Sch Nat Sci, Bangor, Gwynedd, Wales)

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