Causal inference for time series

J Runge, A Gerhardus, G Varando, V Eyring… - Nature Reviews Earth & …, 2023 - nature.com
Many research questions in Earth and environmental sciences are inherently causal,
requiring robust analyses to establish whether and how changes in one variable cause …

Evidence and attribution of the enhanced land carbon sink

S Ruehr, TF Keenan, C Williams, Y Zhou, X Lu… - Nature Reviews Earth & …, 2023 - nature.com
Climate change has been partially mitigated by an increasing net land carbon sink in the
terrestrial biosphere; understanding the processes that drive this sink is thus essential for …

High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections

HE Beck, TR McVicar, N Vergopolan, A Berg… - Scientific data, 2023 - nature.com
We introduce Version 2 of our widely used 1-km Köppen-Geiger climate classification maps
for historical and future climate conditions. The historical maps (encompassing 1901–1930 …

Future socio-ecosystem productivity threatened by compound drought–heatwave events

J Yin, P Gentine, L Slater, L Gu, Y Pokhrel… - Nature …, 2023 - nature.com
Compound drought–heatwave (CDHW) events are one of the worst climatic stressors for
global sustainable development. However, the physical mechanisms behind CDHWs and …

Plant responses to changing rainfall frequency and intensity

AF Feldman, X Feng, AJ Felton, AG Konings… - Nature Reviews Earth & …, 2024 - nature.com
Regardless of annual rainfall amount changes, daily rainfall events are becoming more
intense but less frequent with anthropogenic warming. Larger rainfall events and longer dry …

Permafrost carbon emissions in a changing Arctic

KR Miner, MR Turetsky, E Malina, A Bartsch… - Nature Reviews Earth & …, 2022 - nature.com
Arctic permafrost stores nearly 1,700 billion metric tons of frozen and thawing carbon.
Anthropogenic warming threatens to release an unknown quantity of this carbon to the …

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems

L Liu, W Zhou, K Guan, B Peng, S Xu, J Tang… - Nature …, 2024 - nature.com
Accurate and cost-effective quantification of the carbon cycle for agroecosystems at decision-
relevant scales is critical to mitigating climate change and ensuring sustainable food …

[HTML][HTML] Estimation of vegetation traits with kernel NDVI

Q Wang, Á Moreno-Martínez, J Muñoz-Marí… - ISPRS Journal of …, 2023 - Elsevier
Vegetation indices computed from spectral signatures are vastly used for monitoring the
terrestrial biosphere. Indices are convenient proxies for canopy structure, and leaf pigment …