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3,105 results for “Vegetation =”
Hydrothermal conditions modulate the impact of climate extremes on vegetation growth in the Northern Hemisphere
<p><strong><span>Aim</span></strong></p> <p>Climate extremes are becoming more frequent under global warming, with substantial repercussions for vegetation growth. The degree to which climate extremes increase the risk of high-impact events on vegetation growth is of high concern.</p> <p><strong>Location</strong></p> <p>Northern Hemisphere (north of 30° N)<span>.</span></p> <p><strong>Time Period</strong></p> <p><span>F</span>rom 2001 to 2022<span>.</span></p> <p><strong>Major Taxa Studied</strong></p> <p><span>P</span><span>l</span><span>ants</span><span>.</span></p> <p><strong>Methods</strong></p> <p><span>W</span>e utilized solar-induced chlorophyll fluorescence (SIF) and the normalized difference vegetation index (NDVI) as proxies for vegetation growth and performed event coincidence and sensitivity analyses to attribute satellite-derived vegetation growth extremes to diverse climate extremes (extreme heat, cold, wet, and drought) in the Northern Hemisphere.</p> <p><strong>Results</strong></p> <p>Our results showed that extreme heat and cold were the main climatic extremes that induced positive and negative vegetation growth extremes north of 30° N, respectively, mainly in cold and humid ecosystems (boreal and temperate forests). Water-related extreme events accounted for less than one-third of vegetation extremes. The contribution of drought to positive vegetation growth extreme events (approximately 17%), mainly in cold and humid ecosystems, was even slightly higher than that of extreme wet (approximately 12%), which predominantly impacted relatively warm and arid ecosystems (croplands and temperate grasslands). We further identified potential climatic thresholds that could induce a reversal of vegetation growth responses to climate extremes and showed that the past <span>two</span> decades of warming and precipitation changes did not induce a shift in the main climatic drivers of vegetation extremes across northern ecosystems.</p> <p><strong>Main Conclusions</strong></p> <p>Our results emphasize the crucial role of background hydrothermal conditions in the attribution of vegetation growth extremes to diverse climate extremes across northern ecosystems and have substantial implications for predicting how Northern Hemisphere vegetation will respond to increasing climate extremes in the future.</p>
New parameterization scheme for modeling ozone-caused damage to vegetation in process-based models: data
<p>gmd-2024-6: Quantifying the role of ozone-caused damage to vegetation in the Earth system: A new parameterization scheme for photosynthetic and stomatal responses (Fang Li et al., 2024); https://gmd.copernicus.org/preprints/gmd-2024-6/. It includes three directory: input (O3 concentration), observations (collected PODY-An and PODY-gs), and simulations.</p> <p>It is co-supported by the National Natural Science Foundation of China (41875137) and Guangdong Major Project of Basic and Applied Basic Research (2021B0301030007).</p>
How does landscape vegetation configuration regulate local channel initiation in a rapidly expanding micro-tidal marsh?
<p>This study revealed the relationship between channel initiation and vegetation configuration in micro-tidal system.</p>
Datasets for 'Satellite-based quantification of nitrogen dioxide effects on vegetation productivity in China'
Open the record for dataset details and reuse information.
Data for "Climate outweighs human effects on vegetation properties during the early-to-mid Holocene"
<p>Data for analyses used in the PastHumanImpact project published in a manuscript "Climate outweighs human effects on vegetation properties during the early-to-mid Holocene". <br><br>All R code and workflows to reproduce the data analyses and figures are available at <a href="https://github.com/HOPE-UIB-BIO/PastHumanImpact" target="_blank" rel="noopener">HOPE-UIB-BIO/PastHumanImpact</a>.<br><br><strong>Usage:</strong><br>Each zip file should be extracted and placed into the `Data` folder, following the README file in the mentioned GitHub repo.<br><br>❗The data is under a CC BY-NC-ND licence, which requires approval from data owners before use (read <a href="https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode" target="_blank" rel="noopener">here </a>for more details). Specifically, please contact Xianyong Cao (<a href="mailto:xcao@itpcas.ac.cn" target="_blank" rel="noopener">xcao@itpcas.ac.cn</a>) to share the Asian fossil pollen data.❗<br><br><strong>Citation</strong>:<br>If you want to use the data, please cite the mentioned paper "Felde et al. Climate outweighs human effects on vegetation properties during the early-to-mid Holocene". DOI: <a title="Climate outweighs human effects on vegetation properties during the early-to-mid Holocene" href="https://doi.org/10.21203/rs.3.rs-4692574/v1" target="_blank" rel="noopener">10.21203/rs.3.rs-4692574/v1</a></p>
In situ observations used in GMD Manuscript "A comprehensive land surface vegetation model for multi-stream data assimilation, D&B v1.0"
<p>Observations taken by</p> <p>Mika Aurela, Tarek S. El-Madany, Marika Honkanen, Anna Kontu, Juha Lemmetyinen, and Susan C. Steele-Dunne</p> <p>and used in the GMD Manuscript "A comprehensive land surface vegetation model for multi-stream data assimilation, D&B v1.0"</p>
Data and Code for the manuscript "Confounding effects of leaf angle dynamics on vegetation indices - implications for monitoring vegetation from space"
<p>This repository includes the data and code to reproduce the results for the study "<em>Confounding effects of leaf angle dynamics on vegetation indices - implications for monitoring vegetation from space</em>". The study shows that leaf angle dynamics systematically confound widely applied vegetation indices. Moreover, it is demonstrated that these effects are not random but tightly linked to abiotic environmental conditions. These findings demonstrate both challenges and opportunities for using VIs for vegetation monitoring.</p>
Data from: Landscape variability of vegetation change across the forest to tundra transition of central Canada
<p><strong>Paper Abstract: </strong></p> <p>Widespread increases in the productivity of tundra ecosystems and static trends – or even declines – in boreal ecosystems have been detected since the early 1980s using coarse-scale remote sensing. However, intermediate-scale Landsat studies have shown that these changes are heterogeneous and may be related to landscape and regional variability in climate, land cover, topography and moisture availability. In this study, a Landsat Normalized Difference Vegetation Index (NDVI) time-series (1984–2016) was examined for an area spanning the transition from sub-Arctic boreal forest to Low Arctic tundra in central Canada. This was supplemented by analyses of relationships with a suite of environmental variables and in situ measurements of bulk vegetation volume. Results show that NDVI trends were generally positive (i.e. increasing) across the study area but were smallest in the forest zone and largest in the northern tundra zone. More than one-quarter (27%) of un-masked pixels exhibited a significant (p < 0.05) trend and virtually all (99.3%) of those pixels exhibited an increasing, or “greening”, trend. Greening pixels were most common in the northern tundra zone and the southern ecotone zone. Random Forest modeling of the relationship between NDVI and environmental variables indicated that the magnitude and direction of trends varied across the forest to tundra transition. Areas that experienced larger increases in NDVI include: (i) areas where summer temperatures increased; (ii) areas exhibiting predominantly shrub and forest cover; and (iii) locations closer to major drainage systems, further from major lakes, and at lower elevations. Ground validation in the central portion of the study area reveals a strong relationship (R<sup>2</sup> = 0.79) between vegetation volume and NDVI for non-tree functional groups and that alder (<em>Alnus crispa</em>) shrublands and open spruce (<em>Picea mariana</em> and <em>P. glauca</em>) woodland with shrubby understories were most likely to exhibit greening. These findings indicate that the largest positive and more significant NDVI trends were associated with increased productivity in shrub-dominated environments, especially at, and north of the treeline in localities with favorable growing conditions. Smaller and less significant NDVI trends in boreal forest environments south of the treeline were likely associated with long-term successional change following disturbance rather than the variables analyzed here.</p> <p> </p> <p><strong>Data details:<br></strong></p> <p>See paper: <a href="https://www.sciencedirect.com/science/article/pii/S0034425718303675?via%3Dihub">Landscape variability of vegetation change across the forest to tundra transition of central Canada - ScienceDirect</a> </p> <p> </p> <p><strong>If you use these data, please reference:</strong></p> <p>Bonney, M.T., Danby, R.K., Treitz, P.M., 2018. Landscape variability of vegetation change across the forest to tundra transition of central Canada. Remote Sens. Environ. 217 <a href="https://doi.org/10.1016/j.rse.2018.08.002" rel="nofollow">https://doi.org/10.1016/j.rse.2018.08.002</a>.</p> <p>See code on GitHub: <a href="https://github.com/ZZMitch/CentralCanadaShrubification_1984to2016">ZZMitch/CentralCanadaShrubification_1984to2016: Code from "Landscape variability of vegetation change across the forest to tundra transition of central Canada" (RSE, 2018) (github.com)</a></p>
Supplementary material 1 from: Biscotti N, Bonsanto D, Viscio GD (2018) The traditional food use of wild vegetables in Apulia (Italy) in the light of Italian ethnobotanical literature. Italian Botanist 5: 1-24. https://doi.org/10.3897/ib.5.22297
Tables S1, S2, S3 : Explanation note: Table S1 (Learning areas divided by territorial district), Table S2 (Wild vegetables gathered and consumed in Apulia region) and Table S3 (Wild food plants of popular use in Italy by regions (Checklist)).
Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters - DATASET
<p>The dataset include the data used to run the model and perform the sensitivity of the LAPSUS_LS model to the effect of vegetation described in the paper: 'Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters' http://dx.doi.org/10.1016/j.ecoleng.2017.08.010</p>
Supplementary material 1 from: Biscotti N, Bonsanto D, Viscio GD (2018) The traditional food use of wild vegetables in Apulia (Italy) in the light of Italian ethnobotanical literature. Italian Botanist 5: 1-24. https://doi.org/10.3897/italianbotanist.5.22297
Tables S1, S2, S3 : Explanation note: Table S1 (Learning areas divided by territorial district), Table S2 (Wild vegetables gathered and consumed in Apulia region) and Table S3 (Wild food plants of popular use in Italy by regions (Checklist)).
FIGURE 4. Geranium carolinianum floral and vegetative parts. A in Contribution to Egypt's Flora: new records from Nile Islands, South Valley, Egypt
FIGURE 4. Geranium carolinianum floral and vegetative parts. A. Life form (vegetative plant). B and C. Flowers. D. Herbarium specimen [Fatma A.A. Ayed 11820 (ASW, TANE, CAI)]. Leaves in maturation, primary and secondary lobes split and divided into a new one.
FIGURE 5. Macroptilium atropurpureum floral and vegetative parts. A. Life form. B in Contribution to Egypt's Flora: new records from Nile Islands, South Valley, Egypt
FIGURE 5. Macroptilium atropurpureum floral and vegetative parts. A. Life form. B. Petals of flower. C. 3-foliolate leaves. D. Seed under Olympus SZ61 microscope with Toup camera (Scale bar = 500 μm). E. Herbarium specimen [Fatma A.A. Ayed 11821 (ASW, TANE, CAI)].
FIGURE 2 in A new species of Anthurium (Araceae) from the canga vegetation of the Serra dos Carajás, Pará, Brazil
FIGURE 2. Occurrence of Anthurium pedrovianae Nadruz & Camelo in the Floresta Nacional dos Carajás, PA, Brazil. Source: IBGE 2012.
FIGURE 1. Anthurium pedrovianae Nadruz & Camelo. A. Habit showing a in A new species of Anthurium (Araceae) from the canga vegetation of the Serra dos Carajás, Pará, Brazil
FIGURE 1. Anthurium pedrovianae Nadruz & Camelo. A. Habit showing a detail the ferric soil; detail of inflorescence at anthesis. B. Erect plant with two inflorescences. C. Elliptical leaf blade with straight margins. D. Detail of midrib and primary lateral veins prominent at the abaxial surface. E. Inflorescence erect, green peduncle, spate greenish to yellowish, patent, long stipe greenish with a dark-purple detail at the junction at the spathe, spadix conical, purple with white pollen grains. F. Detail of spadix in anthesis. G. Spadix at pos-anthesis grey, immature berries greenish, mature berries purple. H. Berries entire purple and tepalar filaments are absent. Photos A–B; F—André Cardoso; C–E, H—Luiz Otávio Adão; G—Mel C. Camelo.
FIGURE 5. Anthurium itacarense. A. Habit with creeping stem detail. B in Two new species of Anthurium sect. Urospadix (Araceae) endemic to the restinga vegetation of Bahia, Brazil
FIGURE 5. Anthurium itacarense. A. Habit with creeping stem detail. B. Detail of creeping stem apex. C. Leaf blade, detail showing cuneate leaf base. D. Inflorescence. E. Flowers showing orange tepals, stamens and stigma droplet. Photos by K. Pimenta.
FIGURE 2. Anthurium bellissimum. A in Two new species of Anthurium sect. Urospadix (Araceae) endemic to the restinga vegetation of Bahia, Brazil
FIGURE 2. Anthurium bellissimum. A. Habit, with creeping stem shown in the detail. B. First leaf of an immature plant. C. Adaxial view of mature leaf blade. D. Inflorescence. E. Flowers showing stamens. F. Infructescence. G. Detail of fruit on infructescence. Photos by K. Pimenta.
FIGURE 4. Anthurium itacarense. A. Habit. B in Two new species of Anthurium sect. Urospadix (Araceae) endemic to the restinga vegetation of Bahia, Brazil
FIGURE 4. Anthurium itacarense. A. Habit. B. Detail of creeping stem apex. C. Detail of leaf blade base. D. Cross section of petiole. E. Cross section of geniculum. F. Inflorescence. G. Stipe. H. Flowers. I–J. Tepals. Illustration by K. Pimenta.
FIGURE 1. Anthurium bellissimum. A. Habit. B in Two new species of Anthurium sect. Urospadix (Araceae) endemic to the restinga vegetation of Bahia, Brazil
FIGURE 1. Anthurium bellissimum. A. Habit. B. Detail of leaf blade base. C. Cross sections of petiole. D. Cross section of geniculum. E. Cross section of peduncle. F. Stipe. G. Spathe curling up when mature. H. Flowers. I–J. Tepals. K. Fruit. L. Seed. Illustration by K. Pimenta.
An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation
<p><strong>Abstract: </strong></p> <p>Swarms of drones offer an increased sensing aperture, and having them mimic behaviors of natural swarms enhances sampling by adapting the aperture to local conditions. We demonstrate that such an approach makes detecting and tracking heavily occluded targets practically feasible. While object classification applied to conventional aerial images generalizes poorly the randomness of occlusion and is therefore inefficient even under lightly occluded conditions, anomaly detection applied to synthetic aperture integral images is robust for dense vegetation, such as forests, and is independent of pre-trained classes. Our autonomous swarm searches the environment for occurrences of the unknown or unexpected, tracking them while continuously adapting its sampling pattern to optimize for local viewing conditions. We achieved an average positional accuracy of 0.39 m with an average precision of 93.2% and an average recall of 95.9%. Here, adapted particle swarm optimization considers detection confidences and predicted target appearance. We show that sensor noise can effectively be included in the synthetic aperture image integration process, removing the need for a computationally costly optimization of high-dimensional parameter spaces. Finally, we present a complete hard- and software framework that supports low-latency transmission and fast processing of extensive video and telemetry data.</p>
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International Brain Laboratory public data
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OpenNeuro
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