2021
DOI: 10.1016/j.gecco.2020.e01438
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Ecosystem carbon storage following different approaches to grassland restoration in south-eastern Horqin Sandy Land, northern China

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Cited by 12 publications
(9 citation statements)
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“…Indeed, the socio‐economic and infrastructural development pressures associated with the needs of the rapidly growing human population could also exacerbate the loss of the Grassland Biome (Goble et al, 2014 ; Greyling, 2012 ; Kanianska, 2016 ; Laurance et al, 2014 ). We suggest that since grasslands constitute an important global carbon storage (Yuan et al, 2021 ), there is urgent need for mitigating fragmentation as part of climate change adaptation.…”
Section: Discussionmentioning
confidence: 97%
“…Indeed, the socio‐economic and infrastructural development pressures associated with the needs of the rapidly growing human population could also exacerbate the loss of the Grassland Biome (Goble et al, 2014 ; Greyling, 2012 ; Kanianska, 2016 ; Laurance et al, 2014 ). We suggest that since grasslands constitute an important global carbon storage (Yuan et al, 2021 ), there is urgent need for mitigating fragmentation as part of climate change adaptation.…”
Section: Discussionmentioning
confidence: 97%
“…Information on the spatiotemporal variability of SOCD is critical for understanding the global carbon budget and adjusting land-use management policies, around CO 2 emission reduction and global warming mitigation . Grasslands store approximately 34% of the total soil carbon and 10% of SOC in global terrestrial ecosystems (Scurlock et al, 2002;Corona et al, 2016;Yuan et al, 2021). With a mean SOCD of 7.6-14.1 kg C m −2 and SOCS of 278.9-591.5 Pg, global grasslands have strong carbon sequestration potential and play a critical role in regulating the global carbon cycle and climate (King et al, 1997;Prentice et al, 2001;Piao et al, 2009;Wei and Fang, 2009;.…”
Section: Discussionmentioning
confidence: 99%
“…While considerable efforts in understanding grassland restoration projects' impacts on carbon storage have increased, several methods have been widely proposed and mostly focused on the effects of vegetation indices and ecological models, driven by common approaches with remote sensing products and field experiment data (Khorchani et al, 2022; Li, Cao, et al, 2021; Yuan et al, 2021). For instance, Li, Cao, et al (2021), quantified the spatiotemporal changes in the annual maximum grassland NDVI (Normalized Difference Vegetatio) after the implementation of ecological restoration projects on the northern Tibetan Plateau.…”
Section: Introductionmentioning
confidence: 99%