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Zhang J, Zhang Y, Cong N, Tian L, Zhao G, Zheng Z, Gao J, Zhu Y, Zhang Y. Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands. FRONTIERS IN PLANT SCIENCE 2023; 14:1129665. [PMID: 37265636 PMCID: PMC10230077 DOI: 10.3389/fpls.2023.1129665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 04/10/2023] [Indexed: 06/03/2023]
Abstract
The warming-wetting climates in Chinese drylands, together with a series of ecological engineering projects, had caused apparent changes to vegetation therein. Regarding the vegetation greening trend, different remote sensing data had yielded distinct findings. It was critical to evaluate vegetation dynamics in Chinese drylands using a series of remote sensing data. By comparing the three most commonly used remote sensing datasets [i.e., MODIS, Advanced Very High Resolution Radiometer (AVHRR), and Landsat], this study comprehensively investigated vegetation dynamics for Chinse drylands. All three remote sensing datasets exhibited evident vegetation greening trends from 2000 to 2020 in Chinese drylands, especially in the Loess Plateau and Northeast China. However, Landsat identified the largest greening areas (89.8%), while AVHRR identified the smallest greening area (58%). The vegetation greening areas identified by Landsat comprise more small patches than those identified by MODIS and AVHRR. The MODIS data exhibited a higher consistency with Landsat than with AVHRR in terms of detecting vegetation greening areas. The three datasets exhibited high consistency in identifying vegetation greening in Northeast China, Loess Plateau, and Xinjiang. The percentage of inconsistent areas among the three datasets was 39.56%. The vegetation greening areas identified by Landsat comprised more small patches. Sensors and the atmospheric effect are the two main reasons responsible for the different outputs from each NDVI product. Ecological engineering projects had a great promotion effect on vegetation greening, which can be detected by the three NDVI datasets in Chinese drylands, thereby combating desertification and reducing dust storms.
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Affiliation(s)
- Jianshuang Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Yangjian Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China
| | - Nan Cong
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Li Tian
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Guang Zhao
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Zhoutao Zheng
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Jie Gao
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yixuan Zhu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yu Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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Piccinelli S, Francon L, Corona C, Stoffel M, Slamova L, Cannone N. Vessels in a Rhododendron ferrugineum (L.) population do not trace temperature anymore at the alpine shrubline. FRONTIERS IN PLANT SCIENCE 2023; 13:1023384. [PMID: 36714740 PMCID: PMC9879627 DOI: 10.3389/fpls.2022.1023384] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 12/21/2022] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Mean xylem vessel or tracheid area have been demonstrated to represent powerful proxies to better understand the response of woody plants to changing climatic conditions. Yet, to date, this approach has rarely been applied to shrubs. METHODS Here, we developed a multidecadal, annually-resolved chronology of vessel sizes for Rhododendron ferrugineum shrubs sampled at the upper shrubline (2,550 m asl) on a north-facing, inactive rock glacier in the Italian Alps. RESULTS AND DISCUSSION Over the 1960-1989 period, the vessel size chronology shares 64% of common variability with summer temperatures, thus confirming the potential of wood anatomical analyses on shrubs to track past climate variability in alpine environments above treeline. The strong winter precipitation signal recorded in the chronology also confirms the negative effect of long-lasting snow cover on shrub growth. By contrast, the loss of a climate-growth relation signal since the 1990s for both temperature and precipitation, significantly stronger than the one found in radial growth, contrasts with findings in other QWA studies according to which stable correlations between series of anatomical features and climatic parameters have been reported. In a context of global warming, we hypothesize that this signal loss might be induced by winter droughts, late frost, or complex relations between increasing air temperatures, permafrost degradation, and its impacts on shrub growth. We recommend future studies to validate these hypotheses on monitored rock glaciers.
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Affiliation(s)
- Silvia Piccinelli
- Department Science and High Technology, Insubria University, Como, Italy
| | - Loïc Francon
- Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
| | - Christophe Corona
- Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
- Geolab, Université Clermont Auvergne, Centre National de la Recherche Scientifique (CNRS), Clermont-Ferrand, France
| | - Markus Stoffel
- Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
- Dendrolab.ch, Department of Earth Sciences, University of Geneva, Geneva, Switzerland
- Department of Forel for Environmental and Aquatic Sciences (F.A.), University of Geneva, Geneva, Switzerland
| | - Lenka Slamova
- Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
| | - Nicoletta Cannone
- Department Science and High Technology, Insubria University, Como, Italy
- Climate Change Research Centre, Insubria University, Como, Italy
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Affiliation(s)
- Kenneth J Feeley
- Department of Biology, University of Miami, Coral Gables, Florida, USA.
| | - Daniel Zuleta
- Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, DC, USA
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Qiu B, Ye Z, Chen C, Tang Z, Chen Z, Huang H, Zhao Z, Xu W, Berry J. Dense canopies browning overshadowed by global greening dominant in sparse canopies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 826:154222. [PMID: 35240174 DOI: 10.1016/j.scitotenv.2022.154222] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 02/21/2022] [Accepted: 02/25/2022] [Indexed: 06/14/2023]
Abstract
Greening, an increase in photosynthetically active plant biomass, has been widely reported as period-related and region-specific. We hypothesized that vegetation trends were highly density-dependent with intensified browning in dense canopies and increased greening in sparse canopies. We exploited this insight by estimating vegetation trends in peak growth from dense to sparse canopies graded from 1 to 20 using the non-parametric Mann-Kendall trend test based on the 500 m 8-day composite MODIS Near Infrared Reflectance of terrestrial vegetation (NIRv) time series datasets in the past two decades (2001-2019) at the global scale. We found that global greening increased by 1.42% per grade with strong fit before grade 15 (R2 = 0.95): net browning (11% browning vs 9% greening) exhibited in high-density canopies (NIRv > 0.39) in contrast to 32% greening in low-density canopies (NIRv ≈ 0.15). While the density-dependent greening was evidenced across different biomes and ecosystems, the steepest gradient (changes per grade) in cropland highlighted the increasingly intensified agricultural activities globally. Greening gradients declined in the dryland, but enhanced in the High-latitude ecosystems driven by warming, especially in the shrubland. Density-dependent vegetation trends were accounted for by the disproportionately impacts from climate changes and the unequal contributions of Land Cover Changes (LCC) among dense and sparse canopies. Vegetation trends and greening gradients could be extensively facilitated by Wetting or Decreasing solar Radiation (WDR), especially in sparse grassland and shrubland. Browning was dominant in dense canopies, which was further aggravated by Drying and Increasing solar Radiation (DIR), especially woody vegetation. This study implied the widespread degradation or mortality of highly productive vegetation hidden among global greening dominant in open ecosystems, which might be further exacerbated by the predicted increasing drought under global warming.
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Affiliation(s)
- Bingwen Qiu
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA.
| | - Zhiyan Ye
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Chongcheng Chen
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Zhenghong Tang
- Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln 68558, NE, USA
| | - Zuoqi Chen
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Hongyu Huang
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Zhiyuan Zhao
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Weiming Xu
- Key Laboratory of Spatial Data Mining &Information Sharing of the Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, Fujian, China
| | - Joe Berry
- Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA
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Rumpf SB, Gravey M, Brönnimann O, Luoto M, Cianfrani C, Mariethoz G, Guisan A. From white to green: Snow cover loss and increased vegetation productivity in the European Alps. Science 2022; 376:1119-1122. [PMID: 35653482 DOI: 10.1126/science.abn6697] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Mountains are hotspots of biodiversity and ecosystem services, but they are warming about twice as fast as the global average. Climate change may reduce alpine snow cover and increase vegetation productivity, as in the Arctic. Here, we demonstrate that 77% of the European Alps above the tree line experienced greening (productivity gain) and <1% browning (productivity loss) over the past four decades. Snow cover declined significantly during this time, but in <10% of the area. These trends were only weakly correlated: Greening predominated in warmer areas, driven by climatic changes during summer, while snow cover recession peaked at colder temperatures, driven by precipitation changes. Greening could increase carbon sequestration, but this is unlikely to outweigh negative implications, including reduced albedo and water availability, thawing permafrost, and habitat loss.
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Affiliation(s)
- Sabine B Rumpf
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.,Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | - Mathieu Gravey
- Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland.,Department of Physical Geography, Utrecht University, Utrecht, Netherlands
| | - Olivier Brönnimann
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.,Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
| | - Miska Luoto
- Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland
| | - Carmen Cianfrani
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
| | - Gregoire Mariethoz
- Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
| | - Antoine Guisan
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.,Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
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