Interannual variation of gross primary production detected from optimal convolutional neural network at multi‐timescale water stress

Yu, Pingrong; Zhou, Tao; Luo, Hui; Liu, Xia; Shi, Peijun; Zhao, Xiang; Xiao, Zhiqiang; Zhang, Yajie; Zhou, Peifang

doi:10.1002/rse2.252

“…Additionally, there is an increasing trend in studying eucalypts in Australia, as some of these species, despite being considered drought-tolerant, are facing water availability limits in their natural habitats. In particular, advancements in satellite remote sensing technology have enabled studies to be conducted over vast territories that span multiple continents and encompass diverse forest ecosystems [120][121][122][123]. Figure 5 shows the number of research subjects by forest type.…”

Section: Overall Trend Of Remote Sensing Applications For Forest Wate...mentioning

confidence: 99%

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Le

¹

,

Harper

²

,

Dell

³

2023

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In the context of climate change, the occurrence of water stress in forest ecosystems, which are solely dependent on precipitation, has exhibited a rising trend, even among species that are typically regarded as drought-tolerant. Remote sensing techniques offer an efficient, comprehensive, and timely approach for monitoring forests at local and regional scales. These techniques also enable the development of diverse indicators of plant water status, which can play a critical role in evaluating forest water stress. This review aims to provide an overview of remote sensing applications for monitoring water stress in forests and reveal the potential of remote sensing and geographic information system applications in monitoring water stress for effective forest resource management. It examines the principles and significance of utilizing remote sensing technologies to detect forest stress caused by water deficit. In addition, by a quantitative assessment of remote sensing applications of studies in refereed publications, the review highlights the overall trends and the value of the widely used approach of utilizing visible and near-infrared reflectance data from satellite imagery, in conjunction with classical vegetation indices. Promising areas for future research include the utilization of more adaptable platforms and higher-resolution spectral data, the development of novel remote sensing indices with enhanced sensitivity to forest water stress, and the implementation of modelling techniques for early detection and prediction of stress.

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“…potential evapotranspiration, and precipitation when evaluating water conditions. Studies have demonstrated that the response of vegetation to water conditions can vary significantly, with some effects being observed within a few months and others taking several years to manifest 105 , 106 . The SPEI can be used to study vegetation response across different timescales due to its capability of considering different aggregation periods.…”

Section: Methodsmentioning

confidence: 99%

Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany

Pohl

¹

,

Werban

²

,

Kumar

³

et al. 2023

Sci Rep

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Forests play a major role in the global carbon cycle, and droughts have been shown to explain much of the interannual variability in the terrestrial carbon sink capacity. The quantification of drought legacy effects on ecosystem carbon fluxes is a challenging task, and research on the ecosystem scale remains sparse. In this study we investigate the delayed response of an extreme drought event on the carbon cycle in the mixed deciduous forest site ’Hohes Holz’ (DE-HoH) located in Central Germany, using the measurements taken between 2015 and 2020. Our analysis demonstrates that the extreme drought and heat event in 2018 had strong legacy effects on the carbon cycle in 2019, but not in 2020. On an annual basis, net ecosystem productivity was $$\sim 16\,\%$$ ∼ 16 % higher in 2018 ($$\sim 424\,{\hbox {g}_{\text {C}}}\hbox {m}^{-2}$$ ∼ 424 g C m - 2 ) and $$\sim 25\,\%$$ ∼ 25 % lower in 2019 ($$\sim 274\,{\hbox {g}_{\text {C}}}\hbox {m}^{-2}$$ ∼ 274 g C m - 2 ) compared to pre-drought years ($$\sim 367\,{\hbox {g}_{\text {C}}}\hbox {m}^{-2}$$ ∼ 367 g C m - 2 ). Using spline regression, we show that while current hydrometeorological conditions can explain forest productivity in 2020, they do not fully explain the decrease in productivity in 2019. Including long-term drought information in the statistical model reduces overestimation error of productivity in 2019 by nearly $$50\,\%$$ 50 % . We also found that short-term drought events have positive impacts on the carbon cycle at the beginning of the vegetation season, but negative impacts in later summer, while long-term drought events have generally negative impacts throughout the growing season. Overall, our findings highlight the importance of considering the diverse and complex impacts of extreme events on ecosystem fluxes, including the timing, temporal scale, and magnitude of the events, and the need to use consistent definitions of drought to clearly convey immediate and delayed responses.

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Evaluate the differences in carbon sink contribution of different ecological engineering projects

Zeng,

Zhou,

Tan

et al. 2024

Carbon Res.

1

0

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China has implemented a series of ecological engineering projects to help achieve the 2060 carbon neutrality target. However, the lack of quantitative research on ecological engineering and the contribution of climate change to terrestrial carbon sinks limits this goal. This study uses robust statistical models combined with multiple terrestrial biosphere models to quantify the impact of China's ecological engineering on terrestrial ecosystem carbon sink trends and their differences according to the difference between reality and nonpractice assumptions. The main conclusions include the following: (1) since 1901, 84% of terrestrial ecosystem carbon sinks in China have shown an increasing trend, and approximately 45% of regional carbon sinks have increased by more than 0.1 g C/m2 every 10 years. (2) Considering the impact of human activities and the implementation of ecological engineering in China, approximately 56% of carbon sinks have improved, and approximately 10% of the regions whose carbon sink growth exceeds 50 g C m−2 yr−1 are mainly in the southeast coastal of China. (3) The carbon sequestration potential and effect of the Sanjiangyuan ecological protection and construction project are better than others, at 1.26 g C m−2 yr−1 and 14.13%, respectively. The Beijing–Tianjin sandstorm source comprehensive control project helps alleviate the reduction in carbon sinks, while the southwest karst rocky desertification comprehensive control project may aggravate the reduction in carbon sinks. This study clarifies the potential of China's different ecological engineering to increase carbon sink potential, and distinguishes and quantifies the contribution of climate and human activity factors to it, which is of great significance to the system management optimization scheme of terrestrial ecosystems and can effectively serve the national carbon neutral strategy. Graphical Abstract

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Interannual variation of gross primary production detected from optimal convolutional neural network at multi‐timescale water stress

Cited by 7 publications

References 84 publications

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany

Evaluate the differences in carbon sink contribution of different ecological engineering projects

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