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Journal ArticleDOI

The extent of forest in dryland biomes

TL;DR: An estimate of global forest extent in dryland biomes is reported, based on analyzing more than 210,000 0.5-hectare sample plots through a photo-interpretation approach using large databases of satellite imagery at very high spatial resolution and very high temporal resolution, available through the Google Earth platform.
Abstract: Dryland biomes cover two-fifths of Earth’s land surface, but their forest area is poorly known. Here, we report an estimate of global forest extent in dryland biomes, based on analyzing more than 210,000 0.5-hectare sample plots through a photo-interpretation approach using large databases of satellite imagery at (i) very high spatial resolution and (ii) very high temporal resolution, which are available through the Google Earth platform. We show that in 2015, 1327 million hectares of drylands had more than 10% tree-cover, and 1079 million hectares comprised forest. Our estimate is 40 to 47% higher than previous estimates, corresponding to 467 million hectares of forest that have never been reported before. This increases current estimates of global forest cover by at least 9%.

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  • The most recent climate model simulations, based on contrasted Representative Concentration Pathways (RCPs), i.e. RCP 8.5 and RCP 4.5, show that global climate change could cause dryland biomes to expand by 11% to 23% by the end of the 21 st century (7) .
  • The geographical scope of this assessment is framed by the delineation adopted by the United Nations Environment Programme World Conservation Monitoring Centre (1), i.e. lands having an Aridity Index (AI) lower than 0.65.
  • To determine the extent of forests and tree cover throughout the worldÕs dryland biomes, the authors assessed a large sample of 0.5 ha plots through visual interpretation of VHR images available from Google Earth.
  • Trees were distinguished from shrubs by considering crown shadows, which are related to vegetation height, and by using field-based photographs available from the Web.

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This is a repository copy of The extent of forest in dryland biomes.
White Rose Research Online URL for this paper:
http://eprints.whiterose.ac.uk/115833/
Version: Accepted Version
Article:
Bastin, JF, Berrahmouni, N, Grainger, A et al. (28 more authors) (2017) The extent of forest
in dryland biomes. Science, 356 (6338). pp. 635-638. ISSN 0036-8075
https://doi.org/10.1126/science.aam6527
© 2017, American Association for the Advancement of Science. This is an author-produced
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Title: The extent of forest in dryland biomes 1
One sentence summary: 2
Previously unreported forest areas in dryland biomes increase current estimates of the 3
global forest cover by at least 9 %. 4
List of authors: 5
Jean-Francois Bastin
1,2*
, Nora Berrahmouni
1
, Alan Grainger
3
, Danae Maniatis
4
, Danilo 6
Mollicone
1
, Rebecca Moore
5
, Chiara Patriarca
1
, Nicolas Picard
1
, Ben Sparrow
6
, Elena 7
Maria Abraham
7
, Kamel Aloui
8
, Ayhan Atesoglu
9
, Fabio Attore
10
, ‚ağlar BassŸllŸ
11
, 8
Adia Bey
1
, Monica Garzuglia
1
, Luis G. Garc’a-Montero
12
, NikŽe Groot
3
, Greg Guerin
6
, 9
Lars Laestadius
13
, Andrew Lowe
14
, Bako Mamane
15
, Giulio Marchi
1
, Paul Patterson
16
, 10
Marcelo Rezende
1
, Stefano Ricci
1
, Ignacio Salcedo
17
, Alfonso Sanchez-Diaz Paus
1
, 11
Fred Stolle
18
, Venera Surappaeva
19
, Rene Castro
1*
. 12
*corresponding authors 13
1 Food and Agriculture Organization of the United Nations, Vialle delle Terme di 14
Caracalla, 00153 Rome, Italy 15
2 Landscape Ecology and Plant Production Systems Unit, UniversitŽ libre de Bruxelles, 16
CP264-2, B-1050, Bruxelles, Belgium 17
3 School of Geography, University of Leeds, Leeds LS2 9JT, UK 18
4 Environmental Change Institute, School of Geography and the Environment, South 19
Parks Road, Oxford, OX1 3QY, UK 20
5 Google, Inc. Mountain View, CA, USA 21
6 Terrestrial Ecosystem Research Network, School of Biological Sciences, University 22
of Adelaide, South Australia 5005, Adelaide, Australia 23
7 Instituto Argentino de Investigaciones de las Zonas çridas- Consejo Nacional de 24
Investigaciones Cient’ficas y TŽcnicas, Mendoza, Argentina 25

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8 Ministry of Agriculture, General Directorate of Forests-Inventory service, Tunis-26
Tunisia 27
9 Bartõn University, Faculty of Forestry, Department of Forest Engineering, Bartõn, 28
Turkey 29
10 Department of Environmental Biology, Sapienza University of Rome, Rome, Italy 30
11 UN Food and Agriculture Organization, Subregional Office for Central Asia, 31
Ankara, Turkey 32
12 Technical University of Madrid (UPM), Department of Forest and Environmental 33
Engineering and Management, E.T.S.I. Montes, Ciudad Universitaria, Madrid 28040, 34
Spain 35
13 Laestadius Consulting, LLC, Silver Spring, MD 20901, USA 36
14 Environment Institute and School of Biological Sciences, University of Adelaide, 37
North terrace, Adelaide, South Australia 5005, Australia 38
15 Centre RŽgional AGRHYMET. Niamey BP 11011, Niger 39
16 Interior West- Forest Inventory and Analysis, Forest Service, US Department of 40
Agriculture, Fort Collins, USA 41
17 Instituto Nacional di Semiarido, 10067, Bairro Serrot‹o, Brazil 42
18 World Resources Institute, 10 G street, NE, Washington DC 20002, USA 43
19 Department of Forest and Hunting Inventory of Kyrgyztan, Bishkek, Kyrgyztan 44

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Abstract 45
Dryland biomes cover two fifths of the EarthÕs land surface but their forest area is 46
poorly known. Here, we report an estimate of global forest extent in dryland biomes, 47
based on analysing more than 210,000 0.5 ha sample plots through a photo-48
interpretation approach using large databases of satellite imagery at (i) very high spatial 49
resolution and (ii) very high temporal resolution which are available through the Google 50
Earth platform. We show that, in 2015, 1,327 million ha of drylands had more than 10% 51
tree-cover, and 1,079 million ha comprised forest. Our estimate is 40-47 % higher than 52
previous estimates, corresponding to 467 million ha of forest that have never been 53
reported before. This increases current estimates of global forest cover by at least 9 %. 54

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Main text 55
Dryland biomes cover about 41.5 % of the EarthÕs land surface (1). They contain some 56
of the most threatened, yet disregarded, ecosystems (2, 3), including seven of the twenty 57
five biodiversity hotspots (4), while facing pressure from climate change and human 58
activity (5, 6). The most recent climate model simulations, based on contrasted 59
Representative Concentration Pathways (RCPs), i.e. RCP 8.5 and RCP 4.5, show that 60
global climate change could cause dryland biomes to expand by 11% to 23% by the end 61
of the 21
st
century (7). If this occurs, dryland biomes could cover more than half of the 62
global land surface (7). Climate change will lead to extended droughts, regional 63
warming (8, 9) and, combined with a growing human population, to an increased risk 64
of land degradation and desertification in the drylands (7). Such changes will 65
particularly affect developing countries, where most dryland expansion is expected to 66
occur (7, 10) and where woody resources provide key goods and services to support 67
human livelihoods (11). 68
69
However, our current knowledge of the extent of tree cover and forests in drylands is 70
limited. This is illustrated by significant spatial disagreements between recent satellite-71
based global forest maps (12Ð14) and by the scarcity of large-scale studies of dryland 72
biomes (3). The most recent estimates of tropical dry forest extent based on remote 73
sensing surveys vary greatly, from 105 Mha for the year 2000, derived from a wall-to-74
wall map at coarse resolution (5) to 542 Mha for the year 2010 derived from a global 75
sample of medium resolution images (15). This disparity can partly be explained by 76
differences in satellite data characteristics (e.g. spatial resolution), mapping approaches 77
(e.g. mapping unit) and forest definitions (e.g. tree cover thresholds). It has led to major 78

Citations
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TL;DR: There is room for an extra 0.9 billion hectares of canopy cover, which could store 205 gigatonnes of carbon in areas that would naturally support woodlands and forests, which highlights global tree restoration as one of the most effective carbon drawdown solutions to date.
Abstract: The restoration of trees remains among the most effective strategies for climate change mitigation. We mapped the global potential tree coverage to show that 4.4 billion hectares of canopy cover could exist under the current climate. Excluding existing trees and agricultural and urban areas, we found that there is room for an extra 0.9 billion hectares of canopy cover, which could store 205 gigatonnes of carbon in areas that would naturally support woodlands and forests. This highlights global tree restoration as our most effective climate change solution to date. However, climate change will alter this potential tree coverage. We estimate that if we cannot deviate from the current trajectory, the global potential canopy cover may shrink by ~223 million hectares by 2050, with the vast majority of losses occurring in the tropics. Our results highlight the opportunity of climate change mitigation through global tree restoration but also the urgent need for action.

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Cites background from "The extent of forest in dryland bio..."

  • ...0 billion hectares globally (Birdsey and Pan, 2015; Keenan et al., 2015; Bastin et al., 2017), and contain about 860 Pg C....

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TL;DR: In this article, the authors combined historical national forest cover maps (covering the period 1953-2000) with a recent global annual tree cover loss dataset (2001-2014) to look at six decades of deforestation and forest fragmentation in Madagascar.

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TL;DR: In this article, the authors investigate the causes of deforestation in Indonesia, a country with one of the highest rates of primary natural forest loss in the tropics, annually between 2001 and 2016.
Abstract: We investigate the causes of deforestation in Indonesia, a country with one of the highest rates of primary natural forest loss in the tropics, annually between 2001 and 2016. We use high spatial resolution imagery made available on Google Earth to characterize the land cover types following a random selection of deforestation events, drawn from the Global Forest Change dataset. Notorious in the region, large-scale oil palm and timber plantations together contributed more than two-fifths of nationwide deforestation over our study period, with a peak in late aughts followed by a notable decline up to 2016. Conversion of forests to grasslands, which comprised an average of one-fifth of national deforestation, rose sharply in dominance in years following periods of considerable fire activity, particularly in 2016. Small-scale agriculture and small-scale plantations also contributed one-fifth of nationwide forest loss and were the dominant drivers of loss outside the major islands of Indonesia. Although relatively small contributors to total deforestation, logging roads were responsible for a declining share of deforestation, and mining activities were responsible for an increasing share, over the study period. Direct drivers of deforestation in Indonesia are thus spatially and temporally dynamic, suggesting the need for forest conservation policy responses tailored at the subnational level, and new methods for monitoring the causes of deforestation over time.

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Cites background from "The extent of forest in dryland bio..."

  • ...Such efforts have successfully collected data on, for example, global agricultural lands and field sizes (Fritz et al 2015), and tree cover in dry lands (Bastin et al 2017)....

    [...]

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the absolute areas and gross and net changes in different plant functional types (PFTs) derived from the ESA CCI land cover maps from 1992 to 2015, and can be used in land surface models to simulate LULCC effects on carbon stocks and on surface budgets.
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 km2 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 km2 respectively, resulting in a net forest loss of 0.6 million km2 , 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 http://maps.elie.ucl.ac.be/CCI/viewer/download.php (Land Cover Maps – v2.0.7; see details in Sect. 5). The PFT map translation protocol and an example in 2000 can be downloaded from https://doi.org/10.5281/zenodo.834229 . The annual ESA CCI PFT maps from 1992 to 2015 at 0.5 ∘ × 0.5 ∘ resolution can also be downloaded from https://doi.org/10.5281/zenodo.1048163 .

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References
More filters
Journal ArticleDOI
24 Feb 2000-Nature
TL;DR: A ‘silver bullet’ strategy on the part of conservation planners, focusing on ‘biodiversity hotspots’ where exceptional concentrations of endemic species are undergoing exceptional loss of habitat, is proposed.
Abstract: Conservationists are far from able to assist all species under threat, if only for lack of funding. This places a premium on priorities: how can we support the most species at the least cost? One way is to identify 'biodiversity hotspots' where exceptional concentrations of endemic species are undergoing exceptional loss of habitat. As many as 44% of all species of vascular plants and 35% of all species in four vertebrate groups are confined to 25 hotspots comprising only 1.4% of the land surface of the Earth. This opens the way for a 'silver bullet' strategy on the part of conservation planners, focusing on these hotspots in proportion to their share of the world's species at risk.

24,867 citations

Journal ArticleDOI
15 Nov 2013-Science
TL;DR: Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally, and boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms.
Abstract: Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.

7,890 citations


"The extent of forest in dryland bio..." refers background in this paper

  • ...Source FAO RSS (2010) (25) Globcover (2009) (26) Hansen et al. (2013) (13) Sexton et al. (2013) (14) Global Drylands Assessment (2016) Sensor Landsat MERIS Landsat Landsat Very high resolution .. .. ... ... .. ... .. ... ... .. ... ... .. ... .. ... ... .. ... ... .. ... ... .. ... .. ... ... ..…...

    [...]

  • ...and Hansen et al. (13)....

    [...]

  • ...The global maps of Hansen et al. (13) and Sexton et al. (14) show some areas of ≥10% tree canopy cover that are not apparent in our map, such as in NE Brazil and South-Sudan (Fig....

    [...]

Journal ArticleDOI
19 Aug 2011-Science
TL;DR: The total forest sink estimate is equivalent in magnitude to the terrestrial sink deduced from fossil fuel emissions and land-use change sources minus ocean and atmospheric sinks, with tropical estimates having the largest uncertainties.
Abstract: The terrestrial carbon sink has been large in recent decades, but its size and location remain uncertain. Using forest inventory data and long-term ecosystem carbon studies, we estimate a total forest sink of 2.4 ± 0.4 petagrams of carbon per year (Pg C year–1) globally for 1990 to 2007. We also estimate a source of 1.3 ± 0.7 Pg C year–1 from tropical land-use change, consisting of a gross tropical deforestation emission of 2.9 ± 0.5 Pg C year–1 partially compensated by a carbon sink in tropical forest regrowth of 1.6 ± 0.5 Pg C year–1. Together, the fluxes comprise a net global forest sink of 1.1 ± 0.8 Pg C year–1, with tropical estimates having the largest uncertainties. Our total forest sink estimate is equivalent in magnitude to the terrestrial sink deduced from fossil fuel emissions and land-use change sources minus ocean and atmospheric sinks.

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Q1. What are the contributions in this paper?

This is indicated by the licence information on the White Rose Research Online record for the item. 

The darkening effect in 260 drought affected savanna woodland environments relative to soil reflectance in 261 Landsat and SPOT wavebands. 

156 Open forests cover 355 Mha and are dominant in Africa and Oceania, where they 157 account for 52% and 74% of all dry forest, respectively. 

They contain some 56 of the most threatened, yet disregarded, ecosystems (2, 3), including seven of the twenty 57 five biodiversity hotspots (4), while facing pressure from climate change and human 58 activity (5, 6). 

Their findings could also lead to the development of innovative 195 conservation and land restoration actions in dryland biomes, i.e. in regions with low 196 opportunity cost, to mitigate climate change, combat desertification, and support the 197 conservation of biodiversity and ecosystem services that underpin human livelihoods 198 (31). 

190 191 Using numbers on the carbon pools of woody savannas (28), further research could use 192 their publicly available data to increase estimates of global forest carbon stocks by 15 to 193 158.3 GtC, or by 2 to 20 % (29), thereby helping to reduce uncertainty about the global 194 carbon budget (30). 

Their results show that in 2015 there were 1,327 (±98) Mha of dryland where tree canopy 134 cover percentage is over 10%, of which 777 Mha (57%) present a closed canopy (Table 135 1, Table S1), i.e. with a tree canopy cover over 40% (24). 

Of the total area of 1,079 Mha 158 of dryland forest, 523 Mha are located in the tropics, of which 203 Mha (37%) are open 159 forest and 320 Mha (63%) are closed forest (Supplementary Table 2). 

To determine the extent of forests and tree cover throughout the world’s dryland 108 biomes, the authors assessed a large sample of 0.5 ha plots through visual interpretation of VHR 109 images available from Google Earth.