The extent of forest in dryland biomes

Bastin, Jean François; Berrahmouni, Nora; Grainger, Alan; Maniatis, Danae; Mollicone, Danilo; Moore, Rebecca; Patriarca, Carlo; Picard, Nicolas; Sparrow, Ben; Abraham, Elena María; Aloui, Karam; Ateşoğlu, Ayhan; Attore, Fabio; Bassüllü, Çağlar; Bey, Adia; Garzuglia, Monica; García-Montero, Luis Gonzaga; Groot, Nikée; Guerin, Greg R.; Laestadius, Lars; Lowe, Andrew J.; Mamane, Bako; Marchi, Giulio; Patterson, Paul L.; Rezende, Marcelo; Ricci, Stefano; Salcedo, I. H.; Díaz, Alfonso Sánchez-Paus; Stolle, Fred; Surappaeva, Venera; Castro, R. C.

doi:10.1126/science.aam6527

Cited by 361 publications

(351 citation statements)

References 27 publications

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“…Global areas of forest (excluding shrub), cropland and grassland PFTs are 30.4, 19.2 and 35.7 million km 2 , respectively Global forest area is 6.7, 11.2 or 10.1 million km 2 lower than that from LUH2v2h (Hurtt et al, 2011), Hansen et al (2013) or Houghton and Nassikas (2017), respectively. It is also much lower than the recently reported global forest area of 43.3 million km 2 with increased forest area estimate in dryland biomes using Google Earth images (Bastin et al, 2017). Global cropland area from ESA CCI is 4.2 million km 2 larger than that from LUH2v2h, while the difference in global grassland area is relatively small.…”

Section: Pft Areas In the Year 2000mentioning

confidence: 49%

“…Landsat; Hansen et al, 2013) or coarse-resolution satellite data (e.g. ESA CCI LC; Achard et al, 2014;Bastin et al, 2017;Gross et al, 2017), in particular when tree cover is below 30 % (Achard et al, 2014). Bastin et al (2017) recently reported a forest estimate in drylands using very high spatial resolution satellite imagery, which is 40-47 % more than previous forest assessments.…”

Section: Differences In Total Area Of Forest Cropland and Grasslandmentioning

confidence: 94%

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Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015)

MacBean

Ciais

et al. 2018

Earth Syst. Sci. Data

226

119

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Abstract. Land-use and land-cover change (LULCC) impacts local energy and water balance and contributes on global scale to a net carbon emission to the atmosphere. The newly released annual ESA CCI (climate change initiative) land cover maps provide continuous land cover changes at 300 m resolution from 1992 to 2015, and can be used in land surface models (LSMs) to simulate LULCC effects on carbon stocks and on surface energy budgets. Here we investigate the absolute areas and gross and net changes in different plant functional types (PFTs) derived from ESA CCI products. The results are compared with other datasets. Global areas of forest, cropland and grassland PFTs from ESA are 30.4, 19.3 and 35.7 million km 2 in the year 2000. The global forest area is lower than that from LUH2v2h (Hurtt et al., 2011), Hansen et al. (2013 or Houghton and Nassikas (2017) while cropland area is higher than LUH2v2h (Hurtt et al., 2011), in which cropland area is from HYDE 3.2 (Klein Goldewijk et al., 2016). Gross forest loss and gain during 1992-2015 are 1.5 and 0.9 million km 2 respectively, resulting in a net forest loss of 0.6 million km 2 , mainly occurring in South and Central America. The magnitudes of gross changes in forest, cropland and grassland PFTs in the ESA CCI are smaller than those in other datasets. The magnitude of global net cropland gain for the whole period is consistent with HYDE 3.2 (Klein Goldewijk et al., 2016), but most of the increases happened before 2004 in ESA and after 2007 in HYDE 3.2. Brazil, Bolivia and Indonesia are the countries with the largest net forest loss from 1992 to 2015, and the decreased areas are generally consistent with those from Hansen et al. (2013) based on Landsat 30 m resolution images. Despite discrepancies compared to other datasets, and uncertainties in converting into PFTs, the new ESA CCI products provide the first detailed long-term time series of land-cover change and can be implemented in LSMs to characterize recent carbon dynamics, and in climate models to simulate land-cover change feedbacks on climate. The annual ESA CCI land cover products can be downloaded from

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Section: Pft Areas In the Year 2000mentioning

confidence: 49%

Section: Differences In Total Area Of Forest Cropland and Grasslandmentioning

confidence: 94%

Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015)

MacBean

Ciais

et al. 2018

Earth Syst. Sci. Data

226

119

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“…La intensificación de la variabilidad de los fenómenos hidrometeorológicos a nivel global ha impactado en poco tiempo y de diversas formas a los sistemas naturales y antrópicos (Bellon, Hodson, & Hellin, 2011;IPCC, 2007;Jean-François et al, 2017;Reed & Stringer, 2015); según el Quinto Reporte de Valoración (AR5, por sus siglas en inglés) sobre Cambio Climático del International Panel on Climatic Change (IPCC, 2014), los impactos atribuibles a esta problemática para las regiones tropicales y templadas donde se cultivan los principales alimentos a nivel mundial (soya, trigo, arroz y maíz) presentaron tasas negativas en los rendimientos por decenio con máximos entre -2 y -3 %, respectivamente; específicamente para maíz, la tasa fue de -1.75 ± 1.25 %.…”

Section: Introductionunclassified

“…The intensification of the variability of hydrometeorological phenomena at a global level has impacted, in a short time and in diverse ways, natural and man-made systems (Bellon, Hodson, & Hellin, 2011;IPCC, 2007;Jean-François et al, 2017;Reed & Stringer, 2015). According to the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC, 2014), the impacts attributable to this problem for tropical and temperate regions where the world's major food crops are grown (soybean, wheat, rice and maize) had negative yield rates per decade with peaks between -2 and -3 %, respectively.…”

Section: Introductionmentioning

confidence: 99%

Impacto del cambio climático en la agricultura de secano de Aguascalientes, México para un futuro cercano (2015-2039)

et al. 2017

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Los objetivos de la investigación fueron: 1) Evaluar los impactos probables del cambio climático (CC) en la agricultura de secano (AS) en Aguascalientes, México, con base en el modelo HadGEM2-ES para el forzamiento radiativo 8.5 en un futuro cercano, 2015-2039; y 2) Determinar la magnitud de los impactos del CC en la aptitud productiva de la AS a través del análisis de la variabilidad de la precipitación media anual (PMA). La unidad de estudio comprendió el territorio de Aguascalientes, cuyos climas predominantes son semiseco [BS1k w, BS1hw(w)] y templado subhúmedo [C(wO)], y PMA de 526 mm. La evaluación del impacto potencial del CC en la AS de Aguascalientes se basa en el análisis de características edáficas y topográficas en las cuales se practica esta actividad y se complementa con el análisis de la PMA para el futuro cercano, apoyados con imágenes satelitales tipo SPOT. Los resultados indican incrementos probables en la PMA del 20 %, lo cual no necesariamente garantiza un impacto positivo en la productividad del cultivo de maíz, ya que hay factores asociados a las condiciones edáficas, topográficas y de las políticas de uso de la tierra que determinan el éxito del mismo.

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“…With the increased greenhouse effect and climate warming in recent years, forest carbon sink has been paid more and more attention by the world (Bastin et al, 2017). Forestation is the main measure to offset the greenhouse gas emission and increase carbon sink (Fang et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Growth characteristics of natural and planted Dahurian larch in northeast China

Jia

Zhou

2018

Earth Syst. Sci. Data

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Abstract. Dahurian larch (Larix gmelinii Rupr.) is the dominant species in both natural and planted forests in northeast China, which is situated in the southernmost part of the global boreal forest biome and is undergoing great climatically induced changes. Published studies on tree above-ground growth of Dahurian larch forests in northeast China were collected in this study and critically reviewed, and a comprehensive growth data set was developed from 122 sites, which are distributed between 40.85 and 53.47 • N in latitude, between 118.20 and 133.70 • E in longitude and between 130 and 1260 m in altitude. The data set is composed of 743 entries and includes growth data (mean tree height, mean diameter at breast height (DBH), mean tree volume and/or stand volume) and associated information, i.e., geographical location (latitude, longitude, altitude, aspect and slope), climate (mean annual temperature (MAT) and mean annual precipitation (MAP)), stand description (origin, stand age, stand density and canopy density) and sample regime (observation year, plot area and plot number). It provides a quantitative reference for plantation management practices and boreal forest growth prediction under future climate change.

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The extent of forest in dryland biomes

Abstract: One sentence summary: 2Previously unreported forest areas in dryland biomes increase current estimates of the 3 global forest cover by at least 9 %. 4 List of authors:

Cited by 361 publications

References 27 publications

Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015)

Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015)

Impacto del cambio climático en la agricultura de secano de Aguascalientes, México para un futuro cercano (2015-2039)

Growth characteristics of natural and planted Dahurian larch in northeast China

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