How is Gaia doing? Trends in global land degradation and improvement

被引:0
作者
Bai, Zhanguo [1 ]
Russ, Jason Daniel [2 ]
Mayr, Kentaro Florian [2 ]
Dent, David [3 ]
机构
[1] ISRIC World Soil Informat, Box 353, NL-6700 AJ Wageningen, Netherlands
[2] World Bank Grp, 1818 H St NW, Washington, DC 20433 USA
[3] Chestnut Tree Farmhouse, Forncett End NR16 1HT, Norfolk, England
关键词
Carbon capture; Land degradation & improvement; NDVI; NPP; Sustainability; LEAF-AREA INDEX; REFLECTANCE; CHINA;
D O I
10.1007/s13280-025-02179-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Land degradation is holding back attainment of the Sustainable Development Goals and exacerbating global heating. Land degradation and improvement since 1981 have been assessed by proxy using remotely sensed Normalised Difference Vegetation Index (NDVI), translated into net primary productivity. The quantitative data show the extent and trends of changes over four decades and identify where further action is needed. During 1981-2021, 28.5% of land was degrading-most notably through megafires in boreal forests, land clearance and cultivation in sub-Saharan Africa and the East Indies and across the steppes. The degraded area increased by 4.5% compared to 1981-2003 yet affected fewer people-1.2 billion compared to 1.5 billion. Consistent policies on sustainability increased biological productivity on 26% of land (10.5% more than 1981-2003), particularly cropland in China, India and the European Union; 2.9 billion people now live in the improved areas compared with 0.8 billion in the improving areas of 1981-2003.
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页数:37
相关论文
共 66 条
  • [21] Dent DL., 2023, Regenerative agriculture. Whats missing? What do we still need to know?
  • [22] ESA Copernicus, 2023, Land cover classification gridded maps from 1992 to present derived from satellite observation
  • [23] Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO
  • [24] 2
  • [25] Gafurova L., 2021, Regenerative agriculture: Whats missing? What do we still need to know?, P59, DOI [10.1007/978-3-030-72224-15, DOI 10.1007/978-3-030-72224-15]
  • [26] Landscape-scale spatial modelling of deforestation, land degradation, and regeneration using machine learning tools
    Grinand, Clovis
    Vieilledent, Ghislain
    Razafimbelo, Tantely
    Rakotoarijaona, Jean-Roger
    Nourtier, Marie
    Bernoux, Martial
    [J]. LAND DEGRADATION & DEVELOPMENT, 2020, 31 (13) : 1699 - 1712
  • [27] Harris I., 2020, VERSION 4 CRU TS MON
  • [28] Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions
    Higginbottom, Thomas P.
    Symeonakis, Elias
    [J]. REMOTE SENSING, 2014, 6 (10) : 9552 - 9575
  • [29] Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012
    Ibrahim, Yahaya Z.
    Balzter, Heiko
    Kaduk, Joerg
    Tucker, Compton J.
    [J]. REMOTE SENSING, 2015, 7 (05) : 5471 - 5494
  • [30] IPCC, 2019, Climate Change and Land: An IPCC Special Report on Climate Change, De- sertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems (SRCCL)