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Impacts of Climate Change on Water Cycle and Terrestrial Ecosystems by Remote Sensing

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 877

Special Issue Editors


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Guest Editor
School of Civil Engineering, Sun Yat-sen University, Zhuhai 519082, China
Interests: climate change; ecohydrological response; hydrology; water resource; remote sensing

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Guest Editor
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Interests: vegetation responses to climate change; vegetation remote sensing; drought detection
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Special Issue Information

Dear Colleagues,

The escalating impacts of climate change have disrupted natural processes, leading to shifts in precipitation and temperature patterns, alterations in water cycles, and perturbations in ecological dynamics. These changes have significant implications for global water resources and terrestrial biodiversity. Remote sensing techniques have emerged as invaluable tools for unraveling the complexities of environmental transformations, allowing for comprehensive evaluations of the multifaceted impacts of climate change on hydrological processes, water resources, and ecosystem structure and functioning.

By fostering multidisciplinary discussions and embracing diverse methodological approaches, this Special Issue will offer transformative insights into the dynamic interplay between climate change, water cycle dynamics, and terrestrial ecosystems using remote sensing technologies. Our goal is to pave the way for effective strategies to safeguard our planet's environmental integrity and encourage submissions that address current gaps in the literature or propose novel applications of remote sensing technologies.

We invite original research articles, reviews, technical notes, and communications that contribute to the advancement of knowledge in this field. Topics of interest include, but are not limited to, the following:

  • Remote sensing applications in monitoring changes in water cycle components;
  • Assessment of climate change’s impacts on terrestrial ecosystems using remote sensing data;
  • Analysis of ecological responses to climate change using remote sensing technology;
  • Innovative remote sensing methodologies for studying climate change’s effects on hydrology, water resources, and terrestrial ecosystems.

Dr. Chun-Yu Dong
Prof. Dr. Xufeng Wang
Dr. Chang Huang
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate change
  • environmental monitoring
  • hydrological processes
  • vegetation dynamics
  • phenology
  • flood
  • biodiversity
  • water cycle
  • drought
  • water resources
  • carbon cycle
  • biomass

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Published Papers (1 paper)

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Research

25 pages, 10665 KiB  
Article
Detecting Drought-Related Temporal Effects on Global Net Primary Productivity
by Min Luo, Fanhao Meng, Chula Sa, Yuhai Bao, Tie Liu and Philippe De Maeyer
Remote Sens. 2024, 16(20), 3787; https://doi.org/10.3390/rs16203787 - 11 Oct 2024
Viewed by 689
Abstract
Drought has extensive, far-reaching, and long-lasting asymmetric effects on vegetation growth worldwide in the context of global warming. However, to date, few scholars have attempted the systematic quantification of the temporal effects of drought on global vegetation across various vegetation types and diverse [...] Read more.
Drought has extensive, far-reaching, and long-lasting asymmetric effects on vegetation growth worldwide in the context of global warming. However, to date, few scholars have attempted the systematic quantification of the temporal effects of drought on global vegetation across various vegetation types and diverse climate zones. Addressing this gap, we quantitatively investigated the effects of drought on global vegetation growth under various scenarios, considering lagged and cumulative effects as well as combined effects in the 1982–2018 period. Our investigation was based on long-term net primary productivity (NPP) and two multiple-timescale drought indices: the standardised precipitation index (SPI) and the standardised precipitation and evapotranspiration index (SPEI). Our main findings were the following: (1) SPI and SPEI exhibited lagged effects on 52.08% and 37.05% of global vegetation, leading to average time lags of 2.48 months and 1.76 months, respectively. The cumulative effects of SPI and SPEI were observed in 80.01% and 72.16% of global vegetated areas, respectively, being associated with relatively longer cumulative timescales of 5.60 months and 5.16 months, respectively. (2) Compared to the scenario excluding temporal effects, there were increases in the explanatory powers of SPI and SPEI for variations in vegetation NPP based on the lagged, cumulative, and combined effects of drought: SPI increased by 0.82%, 6.65%, and 6.92%, respectively, whereas SPEI increased by 0.67%, 5.73%, and 6.07%, respectively. The cumulative effects of drought on global vegetation NPP were stronger than the lagged effects in approximately two-thirds (64.95% and 63.52% for SPI and SPEI, respectively) of global vegetated areas. (3) The effects of drought on vegetation NPP varied according to climate zones and vegetation types. Interestingly, vegetation in arid zones was the most sensitive and resilient to drought, as indicated by its rapid response to drought and the longest cumulative timescales. The vegetation NPP in tropical and temperate zones exhibited a relatively stronger response to drought than that in cold and polar zones. The strongest correlation of vegetation NPP with drought occurred in shrubland areas, followed by grassland, cropland, forest, and tundra areas. Moreover, for each vegetation type, the correlations between vegetation NPP and drought differed significantly among most climate zones. (4) The vegetation NPP in warming-induced drought regions displayed a higher correlation to drought than that in non-warming-induced drought regions, with shorter lagged and longer cumulative timescales. Our findings highlight the heterogeneity of the lagged, cumulative, and combined effects of drought across various climate zones and vegetation types; this could enhance our understanding of the coupling relationship between drought and global vegetation. Full article
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