Enhanced growth after extreme wetness compensates for post-drought carbon loss in dry forests

Jiang, Peng; Liu, Hongyan; Piao, Shilong; Ciais, Philippe; Wu, Xiuchen; Yin, Yi; Hong-ya, Wang

doi:10.1038/s41467-018-08229-z

Cited by 78 publications

(67 citation statements)

References 46 publications

(67 reference statements)

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“…Along this, low SPEI values can have reduced effects on growth if local microclimate or site conditions mitigate drought impact (Jiang et al, 2019). Further, other confounding factors besides drought can cause abrupt growth reductions as is the case of pest outbreaks or pathogens (e.g.…”

Section: Discussionmentioning

confidence: 99%

Drought legacies are short, prevail in dry conifer forests and depend on growth variability

et al. 2020

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1. The negative impacts of drought on forest growth and productivity last for several years generating legacies, although the factors that determine why such legacies vary across sites and tree species remain unclear. 2. We used an extensive network of tree-ring width (RWI, ring-width index) records of 16 tree species from 567 forests, and high-resolution climate and normalized difference vegetation index (NDVI) datasets across Spain during the common period 1982-2008 to test the hypothesis that climate conditions and growth features modulate legacy effects of drought on forests. Legacy effects of drought were calculated as the differences between detrended-only RWI and NDVI series (i.e. after removing long-term growth trends) and pre-whitened RWI and NDVI series predicted by a model including drought intensity. Superposed Epoch Analysis (SEA) was used to estimate whether legacy effects differed from random. Finally, legacy effects were related to water balance, growth persistence and variability, and tree species identity. 3. We found a widespread occurrence of drought legacy effects on both RWI and NDVI, but they were seldom significant. According to SEA, first-year drought legacies were negative and different from random in 9% and 5% of the RWI and

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Section: Discussionmentioning

confidence: 99%

Drought legacies are short, prevail in dry conifer forests and depend on growth variability

et al. 2020

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“…The dynamic impact of LUCC on annual GPPrs and ETrs can be isolated by using the difference of the two modeling experiments (Jiang et al, 2019). To quantify the LUCC impact on GPP and ETrs at each grid cell, this study calculates the difference between the two experiment outputs, which is expressed as

D_{i} = {Dynamic}_{i} - {Static}_{i},

where D i is the GPPrs or ETrs difference between the two PML‐V2 experiments, “Dynamic” means the outputs from the dynamic experiment, “Static” means the outputs from the static experiment, and i represents each grid cell.…”

Section: Methodsmentioning

confidence: 99%

LUCC‐Driven Changes in Gross Primary Production and Actual Evapotranspiration in Northern China

Zhang

Shen

et al. 2020

JGR Atmospheres

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Gross primary production (GPP) and evapotranspiration (ET) are the key variables in global carbon and water cycle, respectively. Therefore, it is important to understand how they respond to land use and land cover change (LUCC). Northern China has experienced dramatic LUCC because of a large‐scale ecological restoration project implemented since 1999. This study uses a diagnostic model (PML‐V2) driven by satellite data to quantify LUCC‐driven changes in GPP and ET, at 500 m resolution in northern China from 2004 to 2017. The results indicate that the GPP and ET of northern China has increased by 164 TgC year−1 and 13 km3 year−1. The GPP and ET are strongly increased in the Loess Plateau and Northeast China Plain in the research period, especially after 2009. Cropland has the highest GPP change of 184 gC m−2 year−1 was in Loess Plateau, followed by the Northeast China Plain (128 gC m−2 year−1) and then the Inner Mongolia Plateau (82 gC m−2 year−1). The highest ET increase of 45 mm year−1 occurs in shrubland in the Loess Plateau, followed by the increase of 20 mm year−1 in the Northeast China Plain. The increase in leaf area index is the major cause of GPP and ET increases for these regions. Our results suggest that it is necessary to carefully plan the afforestation and other land use change patterns for sustainable water resources management.

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“…The Chiba population therefore experienced more drought stress during the growing season than the Kumamoto population. This might have caused a delayed effect of drought stress in early spring at the Chiba site [60,61], which partly explains the lack of a significant growth response to drought at the Kumamoto site.…”

Section: Climate Change Sensitivitymentioning

confidence: 99%

Climate sensitivity of Cryptomeria japonica in two contrasting environments: Perspectives from QTL mapping

et al. 2020

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Long-lived forest tree species experience a wide range of environmental conditions throughout their lifespan. Evaluation of the underlying growth and development mechanisms of these species is essential to predict tree growth under climate change. This study investigated climate sensitivity to temperature, precipitation, dry periods, and the associated genomic regions in Cryptomeria japonica, Japan's most commercially important tree. We used tree rings and common garden experiments with three clonal replicates planted in two contrasting environments in Kyushu (Kumamoto site) and Honshu (Chiba site), Japan. Tree growth showed a significant negative correlation with the dry period (>4 days) in March of the year of tree-ring formation at the Chiba site. In contrast, temperature and precipitation had little influence on tree growth. Quantitative trait locus (QTL) analysis was performed to investigate climate sensitivity to dry periods at the Chiba site, revealing 13 significant QTLs. One QTL showed a substantially large contribution to the overall climate sensitivity, accounting for 12.4% of the total phenotypic variation. The phenotypic variance explained (PVE) by other QTLs ranged from 0.9% to 2.9%, and the total PVE by all QTLs was 35.6%. These findings indicate that the tree population at the Chiba site could be vulnerable to drought in early spring and that the QTL showing the greatest impact on climate sensitivity may be closely related to genes associated with tolerance or adaptation to drought stress. The QTLs identified in this study could be useful for molecular breeding, forest management, and predicting the growth of C. japonica under a changing climate.

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Enhanced growth after extreme wetness compensates for post-drought carbon loss in dry forests

Cited by 78 publications

References 46 publications

Drought legacies are short, prevail in dry conifer forests and depend on growth variability

Drought legacies are short, prevail in dry conifer forests and depend on growth variability

LUCC‐Driven Changes in Gross Primary Production and Actual Evapotranspiration in Northern China

Climate sensitivity of Cryptomeria japonica in two contrasting environments: Perspectives from QTL mapping

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