2015
DOI: 10.1111/gcb.13068
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Global change pressures on soils from land use and management

Abstract: Soils are subject to varying degrees of direct or indirect human disturbance, constituting a major global change driver. Factoring out natural from direct and indirect human influence is not always straightforward, but some human activities have clear impacts. These include land-use change, land management and land degradation (erosion, compaction, sealing and salinization). The intensity of land use also exerts a great impact on soils, and soils are also subject to indirect impacts arising from human activity… Show more

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Cited by 729 publications
(374 citation statements)
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References 168 publications
(233 reference statements)
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“…Scaling these limited point measurements to calculate a cumulative SOC loss for the world's agricultural land has been difficult, with estimates ranging from 40 Pg C to over 500 Pg C (20). Recent estimates from dynamic global vegetation models run with actual land use versus with potential natural vegetation have put this figure at 30 Pg C to 62 Pg C for the industrial post-1850 period (21,22).A credible estimate of the global total and spatial distribution of SOC loss is a critical step in understanding the potential for soil carbon sequestration to be an effective climate abatement strategy. To quantify the cumulative impact of human land use on changes in SOC at the global scale, we have developed a machine learning-based data-driven statistical model, which is based on a global compilation (N = 158,147) of soil profile observations and samples collated at The International Soil Resource and Information Center (ISRIC) -World Soil Information over the last decade (23).…”
mentioning
confidence: 99%
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“…Scaling these limited point measurements to calculate a cumulative SOC loss for the world's agricultural land has been difficult, with estimates ranging from 40 Pg C to over 500 Pg C (20). Recent estimates from dynamic global vegetation models run with actual land use versus with potential natural vegetation have put this figure at 30 Pg C to 62 Pg C for the industrial post-1850 period (21,22).A credible estimate of the global total and spatial distribution of SOC loss is a critical step in understanding the potential for soil carbon sequestration to be an effective climate abatement strategy. To quantify the cumulative impact of human land use on changes in SOC at the global scale, we have developed a machine learning-based data-driven statistical model, which is based on a global compilation (N = 158,147) of soil profile observations and samples collated at The International Soil Resource and Information Center (ISRIC) -World Soil Information over the last decade (23).…”
mentioning
confidence: 99%
“…Scaling these limited point measurements to calculate a cumulative SOC loss for the world's agricultural land has been difficult, with estimates ranging from 40 Pg C to over 500 Pg C (20). Recent estimates from dynamic global vegetation models run with actual land use versus with potential natural vegetation have put this figure at 30 Pg C to 62 Pg C for the industrial post-1850 period (21,22).…”
mentioning
confidence: 99%
“…Carbon emissions due to deforestation in the tropics were 810 Tg C year −1 between 2000 and 2005 [30], in which Brazil and Indonesia were the first two contributing countries with an emission rate of 340 and 105 Tg C year −1 , respectively. Soil carbon loss due to land use change in the tropical area was estimated to be 79 Pg CO 2 during the past 150 years (1860-2101, averaged from three different models) [31].…”
Section: Regulation Servicesmentioning
confidence: 99%
“…Recent studies on the Loess Plateau have investigated and estimated the changes in SOC stocks in the top 1 m of soil as a result of revegetation of regional watersheds (Fu et al, 2010;Wang et al, 2011;Yan et al, 2007;Zhang et al, 2013). However, deep-rooted perennial legumes may penetrate deeper in the soil profile than 1 m, likely underestimating the SOCsequestration potential of these forage legumes in northwest China (Smith et al, 2015).…”
Section: Introductionmentioning
confidence: 99%