Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.1
2.9
Journals
Atmosphere
Special Issues
Vegetation and Climate Relationships (2nd Edition)
share announcement

Vegetation and Climate Relationships (2nd Edition)

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biometeorology".

Deadline for manuscript submissions: closed (11 December 2023) | Viewed by 7256

Special Issue Editors

Dr. Xiangjin Shen

E-Mail Website
Guest Editor
Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun 130102, China
Interests: climate change; ecological climatology; vegetation; vegetation and climate relationships; remote sensing
Special Issues, Collections and Topics in MDPI journals
Dr. Binhui Liu

E-Mail Website
Guest Editor
College of Forestry, Northeast Forestry University, Harbin 150040, China
Interests: climate change; temperature; precipitation; forest; forest ecosystem
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a follow-up of the first Special Issue entitled “Vegetation and Climate Relationships” (https://www.mdpi.com/journal/atmosphere/special_issues/Vegetation_Climate_Relationships), published in Atmosphere in 2021, and will cover all aspects of vegetation and climate issues. The aim of this Special Issue is to provide information on the recent advancements in our understanding of the relationships between climate and vegetation. This is an important topic because vegetation is not only affected by climate change but also plays an important role in the changes in regional or global climate. In the context of global climate change, understanding the relationships between vegetation and climate is becoming an important aspect of global change studies. In order to better understand vegetation and climate interactions, we need to further clarify the spatiotemporal changes in vegetation and climate in vegetation regions, the responses of vegetation to climate change, and the effects of vegetation on climate. In addition, the advancements and challenges in climate and vegetation research should be further discussed and explored to promote the development of the research on climate and vegetation relationships.

Topics of interest for this Special Issue include but are not limited to:

  • Climate change in vegetation regions;
  • Vegetation change against the background of climate change;
  • Advancements in monitoring vegetation and climate changes;
  • Responses of vegetation to climate change;
  • Feedback effects of vegetation on climate change;
  • Relationships between climate change and vegetation;
  • Methods for analyzing the correlations between vegetation and climate change.

Prof. Dr. Xiangjin Shen
Prof. Dr. Binhui Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Atmosphere is an international peer-reviewed open access monthly 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 2400 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

  • vegetation
  • climate change
  • plant
  • vegetation change
  • monitoring method
  • response
  • impact
  • feedback
  • relationship

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 2548 KiB  
Article
Patterns and Drivers of Change in the Normalized Difference Vegetation Index in Nunavik (Québec, Canada) over the Period 1984–2020
by Anna Gaspard, Martin Simard and Stéphane Boudreau
Atmosphere 2023, 14(7), 1115; https://doi.org/10.3390/atmos14071115 - 05 Jul 2023
Cited by 1 | Viewed by 1605
Abstract
Altered temperature and precipitation regimes associated with climate change generally result in improved conditions for plant growth. For Arctic and sub-Arctic ecosystems, this new climatic context promotes an increase in primary productivity, a phenomenon often referred to as “greening”. Although this phenomenon has [...] Read more.
Altered temperature and precipitation regimes associated with climate change generally result in improved conditions for plant growth. For Arctic and sub-Arctic ecosystems, this new climatic context promotes an increase in primary productivity, a phenomenon often referred to as “greening”. Although this phenomenon has been widely documented at the circumpolar scale, little information is available at the scale of plant communities, the basic unit of the Arctic and sub-Arctic landscape mosaic. The objectives of this study were (1) to quantify the variation of NDVI within the different plant communities of Nunavik (Québec, QC, Canada) in order to identify which ones contributed the most to the greening and (2) to identify the climatic and biophysical drivers of the greening. To do so, we used Landsat imagery to produce a time series of summer NDVI for the period 1984 to 2020. A fine-resolution map of Northern Québec vegetation was then overlaid on the time series of NDVI imagery and on maps of surficial deposits, topography, and gridded climate data to obtain information at the plant community level. We found that greening was more important in shrub-dominated communities, particularly near the tree line. Summer temperature, fall and winter precipitation, and surficial deposits were identified as drivers of greening. Through utilizing detailed vegetation maps to accurately quantify changes in Nunavik’s plant communities, this study provides valuable insights into the dynamics of the region’s ecosystem under rapid climate change. Full article
(This article belongs to the Special Issue Vegetation and Climate Relationships (2nd Edition))
►▼ Show Figures

Figure 1

18 pages, 3649 KiB  
Article
Frost Risk Assessment in Slovenia in the Period of 1981–2020
by Zala Žnidaršič, Gregor Gregorič, Andreja Sušnik and Tjaša Pogačar
Atmosphere 2023, 14(4), 683; https://doi.org/10.3390/atmos14040683 - 05 Apr 2023
Cited by 1 | Viewed by 981
Abstract
As spring frost proves to be an increasing risk throughout Slovenia and Europe, a better assessment of frost risk is needed. The statistical approach presented in this article consists of the conditional probability that the last spring frost occurs before budburst or flowering. [...] Read more.
As spring frost proves to be an increasing risk throughout Slovenia and Europe, a better assessment of frost risk is needed. The statistical approach presented in this article consists of the conditional probability that the last spring frost occurs before budburst or flowering. The analysis was conducted using two separate phenological models and phenological data of various grapevine (Vitis vinifera L.), apple (Malus domestica), and sweet cherry (Prunus avium L.) varieties in locations across Slovenia. The increase in risk of spring frost for grapevine ranged from 1 to 1980, from 0.06 to 12 for apple, and from 1 to 180 for sweet cherry. Overall, the varieties most prone to frost proved to be Refošk (Teran) and Merlot grapevine varieties as well as the Germersdorf sweet cherry variety. We have identified the location in the hilly region with moderate climate where the Bobovec apple variety is grown as the least exposed to frost. Although counterintuitive, the GDD generally proved somewhat more efficient than the two-phase phenological model BRIN, although not in all cases. For the purpose of the study, the phenological models were calibrated, and the model parameters can serve as invaluable information for further research of this topic. Full article
(This article belongs to the Special Issue Vegetation and Climate Relationships (2nd Edition))
►▼ Show Figures

Figure 1

7 pages, 1503 KiB  
Communication
Potential Distribution and Priority Conservation Areas of Pseudotsuga sinensis Forests under Climate Change in Guizhou Province, Southwesten China
by Wangjun Li, Yingqian Yu, Tu Feng, Bin He, Xiaolong Bai and Shun Zou
Atmosphere 2023, 14(3), 581; https://doi.org/10.3390/atmos14030581 - 17 Mar 2023
Viewed by 980
Abstract
Priority conservation areas are the key areas of biodiversity maintenance and ecosystem conservation. Based on a Maxent model, this study predicted the potential distribution of Pseudotsuga sinensis under the current climate and future climate change scenarios in Guizhou province, and then, assessed three [...] Read more.
Priority conservation areas are the key areas of biodiversity maintenance and ecosystem conservation. Based on a Maxent model, this study predicted the potential distribution of Pseudotsuga sinensis under the current climate and future climate change scenarios in Guizhou province, and then, assessed three kinds of priority conservation area under climate change. The results were as follows: (1) The AUC (Area Under the Curve) values showed excellent prediction accuracy of the model. (2) The areas of the potential habitats of P. sinensis forests under the current climate and future climate change scenarios were 22,062.85 km2 and 18,395.92 km2, respectively. As for their spatial distribution, the potential habitats of P. sinensis forests were distributed in the Bijie, Zunyi, Tongren, Liupanshui and Xingyi regions under the current climate, and in the Kaili region, in addition to the above-mentioned cities, under future climate change scenarios. (3) The total area of priority conservation areas under climate change was 25,350.26 km2. The area of the predicted sustainable potential habitats was 15,075.96 km2, of the vulnerable potential habitats was 7256.59 km2 and of the derivative potential habitats was 3017.71 km2. Full article
(This article belongs to the Special Issue Vegetation and Climate Relationships (2nd Edition))
►▼ Show Figures

Figure 1

16 pages, 7087 KiB  
Article
The Use of Basal Area Increment to Preserve the Multi-Decadal Climatic Signal in Shrub Growth Ring Chronologies: A Case Study of Betula glandulosa in a Rapidly Warming Environment
by Julie-Pascale Labrecque-Foy, Sandra Angers-Blondin, Pascale Ropars, Martin Simard and Stéphane Boudreau
Atmosphere 2023, 14(2), 319; https://doi.org/10.3390/atmos14020319 - 06 Feb 2023
Cited by 3 | Viewed by 1619
Abstract
Climate warming at high latitudes has contributed to the growing interest in shrub tree-ring analysis. Shrub architecture presents new challenges for dendrochronology, such as the seemingly lower and inconsistent climatic sensitivity of stems vs. root collars. Shrub stems may thus be considered as [...] Read more.
Climate warming at high latitudes has contributed to the growing interest in shrub tree-ring analysis. Shrub architecture presents new challenges for dendrochronology, such as the seemingly lower and inconsistent climatic sensitivity of stems vs. root collars. Shrub stems may thus be considered as sub-optimal to study climate–growth relationships. In this paper, we propose that the lower climatic sensitivity of stems could be caused by the use of unsuitable detrending methods for chronologies spanning decades rather than centuries. We hypothesize that the conversion of the ring width (RW) to basal area increment (BAI) is better suited than traditional detrending methods to removing age/size-related trends without removing multi-decadal climate signals. Using stem and root collar samples collected from three sites in the forest–tundra ecotone of eastern Canada, we compared the climate–growth relationships of these two approaches for stems and root collars using mixed-effects models. The climate sensitivity was, on average, 4.9 and 2.7 times higher with BAI than with detrended (mean-centered) RW chronologies for stems and root collars, respectively. The climatic drivers of radial growth were identical for stems and root collars when using BAI (July temperature and March precipitation), but were inconsistent when using detrended RW series (root collars: July temperature and March precipitation at all sites; stems: April and June temperature, depending on the site). Although the use of BAI showed promising results for studying long-term climate signals in shrub growth chronologies, further studies focusing on different species and locations are needed before the use of BAI can become broadly used in shrub dendrochronology. Full article
(This article belongs to the Special Issue Vegetation and Climate Relationships (2nd Edition))
►▼ Show Figures

Figure 1

18 pages, 17029 KiB  
Article
Temporal and Spatial Variation in Vegetation Coverage and Its Response to Climatic Change in Marshes of Sanjiang Plain, China
by Yiwen Liu, Xiangjin Shen, Jiaqi Zhang, Yanji Wang, Liyuan Wu, Rong Ma, Xianguo Lu and Ming Jiang
Atmosphere 2022, 13(12), 2077; https://doi.org/10.3390/atmos13122077 - 09 Dec 2022
Cited by 3 | Viewed by 1161
Abstract
Sanjiang Plain is the most extensive marsh distribution region in China. Marshes in this region can protect biodiversity, regulate climate, and provide habitats for wild animals and plants. The normalized difference vegetation index (NDVI) is a crucial indicator of vegetation coverage, which may [...] Read more.
Sanjiang Plain is the most extensive marsh distribution region in China. Marshes in this region can protect biodiversity, regulate climate, and provide habitats for wild animals and plants. The normalized difference vegetation index (NDVI) is a crucial indicator of vegetation coverage, which may reflect ecosystem structure and functional features. Clarifying the spatiotemporal change of marsh coverage and its climatic drivers is vital for observing and predicting vegetation change in Sanjiang Plain. Using meteorological dataand MODIS NDVI data from 2000 to 2020, we analyzed the spatiotemporal variation in marsh vegetation coverage and climatic change effects in Sanjiang Plain. We found that the growing season vegetation NDVI of marsh increased significantly at a rate of 0.011/decade, indicating that the marsh vegetation growth has obviously improved during the past 21 years. Furthermore, we found that the increase of minimum (Tmin) and maximum (Tmax) temperature in July can significantly promote the marsh plant growth, and increasing nighttime Tmin has a stronger impact on promoting the growth than increasing daytime Tmax in this month. In addition, the increase of daytime Tmax in August can promote the marsh vegetation growth, whereas the increasing precipitation in August was unfavorable for the growth in Sanjiang Plain. Full article
(This article belongs to the Special Issue Vegetation and Climate Relationships (2nd Edition))
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop