Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation Sampling—A Novel Workflow to Study Slow Ecotone Dynamics DOI Creative Commons

Fabian Döweler,

Johan E. S. Fransson, Martin Karl‐Friedrich Bader

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(5), P. 840 - 840

Published: Feb. 28, 2024

Unravelling slow ecosystem migration patterns requires a fundamental understanding of the broad-scale climatic drivers, which are further modulated by fine-scale heterogeneities just outside established boundaries. While modern Unoccupied Aerial Vehicle (UAV) remote sensing approaches enable us to monitor local scale ecotone dynamics in unprecedented detail, they often underutilised as temporal snapshot conditions on site. In this study Southern Alps New Zealand, we demonstrate how combination multispectral and thermal data, well LiDAR data (2019), supplemented three decades (1991–2021) treeline transect can add great value field monitoring campaigns putting seedling regeneration at into spatially explicit context. Orthorectification mosaicking RGB imagery produced extensive maps subalpine area (~4 ha) with low spatial offset (Craigieburn: 6.14 ± 4.03 cm; Mt Faust: 5.11 2.88 cm, mean standard error). The seven bands enabled highly detailed delineation six ground cover classes treeline. Subalpine shrubs were detected high accuracy (up 90%), clear identification closed forest canopy (Fuscospora cliffortioides, >95%) was achieved. Two imaging flights revealed effect existing vegetation ground-level conditions. UAV acquisition Craigieburn site allowed model height profiles for ~6000 previously classified objects calculate annual variation solar radiation budget (20 cm resolution). At heart proposed framework, an easy-to-use extrapolation procedure used datasets minimal georeferencing effort. method satisfy rapidly increasing demand spatiotemporal resolution mapping shed light current recruitment bottlenecks. This low-budget framework readily be expanded other ecotones, allowing gain insights drastically changing climate.

Language: Английский

Land use and land cover changes in Morocco: trends, research gaps, and perspectives DOI
Mariem Ben-Said, Abdelazziz Chemchaoui, Issam Etebaai

et al.

GeoJournal, Journal Year: 2025, Volume and Issue: 90(1)

Published: Feb. 12, 2025

Language: Английский

Citations

4
Alpine greening deciphered by forest stand and structure dynamics in advancing treelines of the southwestern European Alps DOI Creative Commons
Arthur Bayle,

Baptiste Nicoud,

Jérôme Mansons

et al.

Remote Sensing in Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Abstract Multidecadal time series of satellite observations, such as those from Landsat, offer the possibility to study trends in vegetation greenness at unprecedented spatial and temporal scales. Alpine ecosystems have exhibited large increases seen space; nevertheless, ecological processes underlying alpine greening rarely been investigated. Here, we used a unique dataset forest stand structure characteristics derived manually orthorectified high‐resolution diachronic images (1983 2018), dendrochronology LiDAR analysis decipher southwestern French Alps, formerly identified hotspot scale European Alps by previous studies. We found that most this area can be attributed dynamics, including ingrowth treeline upward shift. Furthermore, showed magnitude was highest pixels/areas where trees were first established beginning Landsat mid‐80s corresponding specific successional stage. In these pixels, observe wave establishment grown between 1984 2023, while over same period, younger gaps, leading both vertical horizontal cover. This provides an in‐depth description causal relationship dynamics greening, providing example how translate into radiometric signals, also paving way for large‐scale using remote sensing.

Language: Английский

Citations

2
Two-decadal climate impacts on growth of major forest types of Eastern Himalaya DOI Creative Commons
Rajdeep Chanda,

Salam Suresh Singh,

Ngangbam Somen Singh

et al.

Trees Forests and People, Journal Year: 2024, Volume and Issue: 15, P. 100491 - 100491

Published: Jan. 1, 2024

Forests affect regional climates, livelihoods and global cycles of water, carbon nitrogen. Anthropogenic activities climatic change forest health national growth. Therefore, developing effective management plans requires understanding the drivers The primary objective this study was to understand long-term effect abiotic factors on growth forests in region. This used Moderate Resolution Imaging Spectroradiometer (MODIS) data for vegetation indices like NDVI EVI NASA's Land Assimilation datasets (wind speed, evapotranspiration, soil moisture temperature) their role through statistical techniques such as Pearson's correlation Multiple Linear Regression. examined relationship between standard monthly variables (i.e., temperature at different profiles up 2 metres depth, land surface temperature, relative humidity, wind velocity, air height) selected Eastern Himalayas two decades (2001-2020, n=240). Rainfall, other associated significantly affected It observed that rainfall alone However, its impact maximum after months rain events, reflecting a significant lag effect. Soil depths all types. Reduced had more old-growth than younger forests. Regression models developed with explained higher variability In conclusion, reveals rainfall, area. has implications region formulating better strategies mitigate climate effects future.

Language: Английский

Citations

10
Five decades of ecological and meteorological data enhance the mechanistic understanding of global change impacts on the treeline ecotone in the European Alps DOI Creative Commons
Lia Lechler, Christian Rixen, Peter Bebi

et al.

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 355, P. 110126 - 110126

Published: June 25, 2024

Understanding the dynamics of treeline ecotones under global change requires long-term ecological and environmental data. The Stillberg research site in Swiss Alps was established 1975 by planting 92,000 seedlings Larix decidua, Pinus cembra mugo ssp. uncinata, has been continuously monitored since then. Here, we present curated data acquired over almost 50 years at site, synthesise major findings. datasets comprise 6.5 million records from 40-year afforestation experiment, as well a 9-year free-air CO2 enrichment experiment crossed with 6-year soil warming 12-year nutrient addition an 8-year multifactorial tree seedling recruitment experiment. Our further include 38 25 meteorological parameters measured hourly resolution to 1996, 10 min 1997. We provide all corresponding metadata open Almost five decades this ecotone showed high mortality after establishment that closely related microclimatic variability. two species survived much lower rate than L. due indirect pathogen interactions. Furthermore, only increased growth while P. uncinata Vaccinium shrub species. Enhanced availability stimulated understorey In addition, microbial activity decreased carbon stocks. These findings improve our understanding processes confirm importance limitations. enhanced quality these are expected foster whole-system approaches transdisciplinary syntheses, supporting development effective adaptation strategies.

Language: Английский

Citations

6
Spatial Mapping of Vegetation’s Potential to Counter Seasonal Groundwater Salinity in Coastal Bangladesh DOI Creative Commons

Md Riaz Uddin,

Ashraf Uddin, Jake R. Nelson

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Language: Английский

Citations

0
Timberline Patterns and Dynamics Depend on Forest Type, Regional Climate, and Topography in the Cantabrian Mountains (Spain) DOI
J. Barbier, José V. Roces‐Díaz, Borja Jiménez‐Alfaro

et al.

Journal of Vegetation Science, Journal Year: 2025, Volume and Issue: 36(1)

Published: Jan. 1, 2025

ABSTRACT Questions Forest timberlines are globally influenced by climatic and anthropogenic factors, with regional differences in species composition, spatial patterns, temporal dynamics. We studied mountain forests a climatically heterogeneous region to analyze (I) the distribution structure of timberline across local topographic gradients, (II) dynamics over last 70 years their drivers. Location Cantabrian Mountains, Northwestern Spain. Methods used vegetation maps describing habitat distributions high thematic resolution characterize montane forest types forming natural timberlines. assessed elevation for each type fitted generalized linear models main environmental drivers at scale. also examined current historical aerial imagery explore changes since 1950s mixed evaluate driving factors. Results The varied from 1700 2000 m, highest elevations found Betula celtiberica Quercus orocantabrica forests. Regional variation was primarily mean annual temperature solar radiation, secondarily distance roads. detected upward shifts dominated (10.9 ± 11.6 m), petraea (7.7 8.5 Fagus sylvatica on acid (6.4 9.2 m) non‐acid (3.0 3.9 soils, while largely remained unchanged. Beyond type, were mainly explained northness, eastness, slope. Conclusions Our study indicates that within‐regional patterns is determined its relationships climate topography. provide evidence continentality–oceanity gradient determining middle latitudes. Although higher reached under continental conditions, stronger oceanic conditions may be dispersal abilities species.

Language: Английский

Citations

0
Climate Change and Topography Drive the Expansion of Betula ermanii in the Alpine Treeline Ecotone of the Changbai Mountain DOI Creative Commons
Yingyi Chen,

Yongfeng Gu,

Wen J. Wang

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(5)

Published: May 1, 2025

ABSTRACT Alpine treelines ecotones are critical ecological transition zones and highly sensitive to global warming. However, the impact of climate on distribution treeline trees is not yet fully understood as this may also be affected by other factors. Here, we used high‐resolution satellite images with climatic topographic variables study changes in tree alpine ecotone Changbai Mountain for years 2002, 2010, 2017, 2021. This employed Geodetector method analyze how interactions between factors influence expansion Betula ermanii different aspect slopes. Over past 20 years, B. , only species tundra zone, had its highest rate from 2017 2021 across all studied, approaching 2.38% per year. In 2021, reached uppermost elevations 2224 m western aspects 2223 northern aspects, which predominant it occupies. We observed a notable increase steeper slopes (> 15°) 2002 Moreover, found that played more significant role 's than any single dominant factor. Our results suggest interaction wetness index coldest month precipitation (Pre 1 ), contributing 91% variability, primarily drove southern maintaining soil moisture, providing snowpack thermal insulation enhanced temperatures, decomposition, nutrient release harsh conditions. On aspect, elevation mean temperature warmest explained 80% expansion. Meanwhile, Pre growing season 73% aspect. revealed driving upward movement vary mountain aspects. Climate topography play roles determining ecotone. knowledge helps better understand forecast dynamics response change.

Language: Английский

Citations

0
A Novel Framework for Assessing Shrublines and Their Geophysical Constraints in Alpine Regions Through Probabilistic Vegetation Mapping and Seed-Filling Algorithm DOI
Lin Zhang, Zhengwei Ren, Qianlong Wang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Alpine greening deciphered by forest stand and structure dynamics in advancing treelines DOI
Arthur Bayle,

Baptiste Nicoud,

Jérôme Mansons

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 2, 2024

Abstract Multidecadal time series of satellite observations, such as those from Landsat, offer the possibility to study trends in vegetation greenness at unprecedented spatial and temporal scales. Alpine ecosystems have exhibited large increases seen space, nevertheless, ecological processes underlying alpine greening rarely been investigated. Here, we used a unique dataset forest stand structure characteristics derived manually orthorectified high-resolution diachronic images (1983 2018), dendrochronology LiDAR analysis decipher southwestern French Alps, formerly identified hotspot scale European Alps by previous studies. We found that most this area can be attributed dynamics, including ingrowth treeline upward shift. Furthermore, showed magnitude was highest pixels/areas where trees first established beginning Landsat mid-80s corresponding specific successional stage. In these pixels, observe wave establishment grown between 1984 2023, while simultaneously, younger gaps, leading both vertical horizontal cover. This provides an in-depth description causal relationship dynamics greening, providing example how translate into radiometric signals, also paving way for large-scale using remote sensing.

Language: Английский

Citations

2
Exploring Ecological Quality and Its Driving Factors in Diqing Prefecture, China, Based on Annual Remote Sensing Ecological Index and Multi-Source Data DOI Creative Commons
Chen Wang, Qianqian Sheng, Zunling Zhu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1499 - 1499

Published: Sept. 15, 2024

The interaction between the natural environmental and socioeconomic factors is crucial for assessing dynamics of plateau ecosystems. Therefore, remote sensing ecological index (RSEI) CatBoost-SHAP model were employed to investigate changes in quality their driving Diqing Tibetan Autonomous Prefecture, China, from 2001 2021. results showed an increase 0.44 0.71 2021 average RSEI indicating overall upward trend quality. Spatial analysis shows percentage area covered by different levels temporal changes. revealed that “good” accounted largest proportion study area, at 42.77%, followed “moderate” 21.93%, “excellent” 16.62%. “Fair” areas 16.11% “poor” only 2.57%. drivers based on framework also indicated climate have a greater impact than factors; however, this effect differed significantly with altitude. findings suggest that, addition strengthening monitoring, further advancements engineering are required ensure sustainable development ecosystem continuous improvement Prefecture.

Language: Английский

Citations

1