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Influence of spring and autumn phenological transitions on forest ecosystem productivity

TLDR
Investigation of relationships between phenology and productivity in temperate and boreal forests finds the productivity of evergreen needleleaf forests is less sensitive to phenology than is productivity of deciduous broadleaf forests, which has implications for how climate change may drive shifts in competition within mixed-species stands.
Abstract
We use eddy covariance measurements of net ecosystem productivity (NEP) from 21 FLUXNET sites (153 site-years of data) to investigate relationships between phenology and productivity (in terms of both NEP and gross ecosystem photosynthesis, GEP) in temperate and boreal forests. Results are used to evaluate the plausibility of four different conceptual models. Phenological indicators were derived from the eddy covariance time series, and from remote sensing and models. We examine spatial patterns (across sites) and temporal patterns (across years); an important conclusion is that it is likely that neither of these accurately represents how productivity will respond to future phenological shifts resulting from ongoing climate change. In spring and autumn, increased GEP resulting from an 'extra' day tends to be offset by concurrent, but smaller, increases in ecosystem respiration, and thus the effect on NEP is still positive. Spring productivity anomalies appear to have carry-over effects that translate to productivity anomalies in the following autumn, but it is not clear that these result directly from phenological anomalies. Finally, the productivity of evergreen needleleaf forests is less sensitive to phenology than is productivity of deciduous broadleaf forests. This has implications for how climate change may drive shifts in competition within mixed-species stands.

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Responses of Water Use Efficiency to climate change in evapotranspiration and transpiration ecosystems

Xiangyu An
TL;DR: In this article , two types of evapotranspiration, GPP/ET and T, were defined to respond to climate change, through which the spatial and temporal were revealed, and the results of the two methods are consistent: precipitation attenuates WUE and temperature promotes WUE.
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Spatiotemporal variation and predictability of vegetation coverage in the Beijing–Tianjin–Hebei metropolitan region, China

TL;DR: Wang et al. as mentioned in this paper investigated the spatial and temporal variations and relationships between vegetation coverage and climatic factors during the growing season for the period of 2000-2017 in the Beijing-Tianjin-Hebei metropolitan region (BTH) of China, using the Normalized Difference Vegetation Index (NDVI) and related climate data.
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Impacts of Satellite Revisit Frequency on Spring Phenology Monitoring of Deciduous Broad-Leaved Forests Based on Vegetation Index Time Series

TL;DR: In this paper, the authors used MODIS Daily Nadir BRDF-Adjusted images to simulate EVI time series with a wide range of temporal resolutions from daily to 52 days, to investigate the impacts of satellite revisit frequency on monitoring spatial and temporal patterns of spring phenology of deciduous broad-leaved forests (DBF) in North America.
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Fruiting patterns of macrofungi in tropical and temperate land use types in Yunnan Province, China

TL;DR: Investigating the phenological patterns of macrofungal fruiting at five sites along a combined altitudinal and latitudinal gradient in SW China and NW Laos, ranging from temperate to tropical climates found no significant fluctuations across the rainy season.
References
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Journal ArticleDOI

Increased plant growth in the northern high latitudes from 1981 to 1991

TL;DR: In this paper, the authors present evidence from satellite data that the photosynthetic activity of terrestrial vegetation increased from 1981 to 1991 in a manner that is suggestive of an increase in plant growth associated with a lengthening of the active growing season.
Journal ArticleDOI

Shifting plant phenology in response to global change

TL;DR: Recent advances in several fields that have enabled scaling between species responses to recent climatic changes and shifts in ecosystem productivity are discussed, with implications for global carbon cycling.
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