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|a 10.1111/gcb.15187
|2 doi
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|a pubmed24n1039.xml
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|a eng
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| 100 |
1 |
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|a Fagan, M E
|e verfasserin
|4 aut
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| 245 |
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|a A lesson unlearned? Underestimating tree cover in drylands biases global restoration maps
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|c 2020
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 29.01.2021
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|a Date Revised 29.01.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2020 John Wiley & Sons Ltd.
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|a Two recent global maps of tree restoration potential have identified vast regions where tree cover could be increased, ranging from 0.9 to 2.3 billion hectares. Both maps, however, emphasized dryland regions, with arid biomes making up 36%-42% of potential restoration area. Dryland biomes have repeatedly been recognized as inappropriate regions for expanding tree cover due to the risks of biodiversity loss, water overconsumption, and fire, so maps that highlight these regions for restoration must sustain careful scrutiny. Here, I show that both recent attempts to map restoration potential in arid regions have been hindered by underlying errors in the global tree cover maps they used. Systematic underestimates of existing sparse tree cover led directly to large overestimates of the potential for tree recovery in drylands. The Atlas of Forest Landscape Restoration Opportunities (Laestadius et al., Unasylva, 2011, 62, 47) overestimated tree restoration potential across a third of arid biomes by between 7% and 20% (55-166 million hectares [Mha]). Similarly, Bastin, Finegold, Garcia, Mollicone, et al. (Science, 2019, 365, 76) overestimated tree restoration potential across all arid biomes by 33%-45% (316-440 Mha). These inaccuracies limit the utility of this research for policy decisions in drylands and overstate the potential for tree planting to address climate change. Given this long-standing but underappreciated challenge in mapping global tree cover, I propose various ways forward that keep this lesson in mind. To better monitor and restore tree cover, I call for re-interpretation and correction of existing global maps, and for a new focus on quantifying sparse tree cover in drylands and other systems
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| 650 |
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|a Journal Article
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| 650 |
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|a REDD+
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| 650 |
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|a afforestation
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| 650 |
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4 |
|a desertification
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| 650 |
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4 |
|a dry forests
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| 650 |
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4 |
|a ecosystem restoration
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| 650 |
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4 |
|a forest landscape restoration
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| 650 |
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4 |
|a global forest change
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| 650 |
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4 |
|a grasslands
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| 650 |
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4 |
|a remote sensing
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| 650 |
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4 |
|a savannas
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| 773 |
0 |
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|i Enthalten in
|t Global change biology
|d 1999
|g 26(2020), 9 vom: 02. Sept., Seite 4679-4690
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
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| 773 |
1 |
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|g volume:26
|g year:2020
|g number:9
|g day:02
|g month:09
|g pages:4679-4690
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| 856 |
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|u http://dx.doi.org/10.1111/gcb.15187
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