Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology

New Phytologist, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Summary A new proliferation of optical instruments that can be attached to towers over or within ecosystems, ‘proximal’ remote sensing, enables a comprehensive characterization terrestrial ecosystem structure, function, and fluxes energy, water, carbon. Proximal sensing bridge the gap between individual plants, site‐level eddy‐covariance fluxes, airborne spaceborne by providing continuous data at high‐spatiotemporal resolution. Here, we review recent advances in proximal for improving our mechanistic understanding plant processes, model development, validation current upcoming satellite missions. We provide best practices availability metadata sensing: spectral reflectance, solar‐induced fluorescence, thermal infrared radiation, microwave backscatter, LiDAR. Our paper outlines steps necessary making these streams more widespread, accessible, interoperable, information‐rich, enabling us address key ecological questions unanswerable from space‐based observations alone and, ultimately, demonstrate feasibility technologies critical local global ecology.

Language: Английский

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OpenForest: a data catalog for machine learning in forest monitoring

Environmental Data Science, Journal Year: 2025, Volume and Issue: 4

Published: Jan. 1, 2025

Abstract Forests play a crucial role in the Earth’s system processes and provide suite of social economic ecosystem services, but are significantly impacted by human activities, leading to pronounced disruption equilibrium within ecosystems. Advancing forest monitoring worldwide offers advantages mitigating impacts enhancing our comprehension composition, alongside effects climate change. While statistical modeling has traditionally found applications biology, recent strides machine learning computer vision have reached important milestones using remote sensing data, such as tree species identification, crown segmentation, biomass assessments. For this, significance open-access data remains essential data-driven algorithms methodologies. Here, we comprehensive extensive overview 86 datasets across spatial scales, encompassing inventories, ground-based, aerial-based, satellite-based recordings, country or world maps. These grouped OpenForest, dynamic catalog open contributions that strives reference all available datasets. Moreover, context these datasets, aim inspire research applied biology establishing connections between contemporary topics, perspectives, challenges inherent both domains. We hope encourage collaborations among scientists, fostering sharing exploration diverse through application methods for large-scale monitoring. OpenForest is at following url: https://github.com/RolnickLab/OpenForest .

Language: Английский

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Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(7), P. 073008 - 073008

Published: July 1, 2024

Abstract Vegetation plays an essential role in regulating carbon and water cycles, e.g. by taking up atmospheric CO 2 through photosynthesis transferring soil to the atmosphere transpiration. function is shaped its structure physiology: vegetation determined amount of materials for plants how it organised space time, while physiology controls instantaneous response environmental conditions. Recognizing disentangling these aspects key understanding predicting terrestrial biosphere global change. This now possible, as comprehensive measurements from Earth observations, both satellites ground, provide invaluable data information. review introduces describes physiology, summarises, compares, contextualises recent literature illustrate state art monitoring dynamics, quantifying large-scale investigating regulation on changes fluxes. includes results remote sensing, in-situ measurements, model simulations, used either study change, or feedback cycles. We find that observation-based work underrepresented compared with model-based studies. therefore advocate further make better use sensing they promote dynamics a fundamental data-driven perspective. highlight usefulness novel increasing satellite comprehensively investigate structural physiological scale, infer their influence land sink evaporation. argue field campaigns can should complement analyses together fine spatio-temporal resolution relevant ecosystem-scale processes.

Language: Английский

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Modelling decadal trends and the impact of extreme events on carbon fluxes in a temperate deciduous forest using a terrestrial biosphere model

Biogeosciences, Journal Year: 2025, Volume and Issue: 22(7), P. 1781 - 1807

Published: April 10, 2025

Abstract. Changing climatic conditions pose a challenge to accurately estimating the carbon sequestration potential of terrestrial vegetation, which is often mediated by nitrogen availability. The close coupling between and cycles controls plant productivity shapes structure functional dynamics ecosystems. However, how interactions affect both fluxes traits in dynamic ecotones, are experiencing biotic abiotic changes, remains unclear. In this work, we use situ measurements leaf chlorophyll content (ChlLeaf, 2013–2016) area index (LAI, 1998–2018) parameterize seasonal QUINCY (QUantifying Interactions Nutrient CYcles climate system) biosphere model (TBM) simulate at Borden Forest Research Station flux tower site, Ontario, Canada, over 22 years from 1996 2018. Our goals assess additional value using ChlLeaf parameterization, study well can capture observed trends related cycle investigate processes associated with drought year its legacy effects captured model. was able leaf-level maximum carboxylation capacity (Vc(max),25), manner quite consistent observations. improved parameterization daily gross primary production (GPP) (r2=0.80, root mean square error (RMSE) = 2.2 µmolm-2s-1). Nevertheless, found that although GPP increased significantly during period (22.4 gCm2yr-1yr-1) net ecosystem exchange (NEE) shifted towards stronger sink, these were not Instead, showed significant increasing trend for total respiration (TER) present severe 2007 strongly affected fluxes, lowering TER following as well. some decrease 2007. effect 2008 These results call further work on representing TBMs, have long-lasting impacts functioning.

Language: Английский

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Atlantic Forests: Phytogeography and conservation

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 443 - 456

Published: Jan. 1, 2025

Language: Английский

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An integrative framework to assess the spatio-temporal impact of plant invasion on ecosystem functioning

NeoBiota, Journal Year: 2024, Volume and Issue: 94, P. 225 - 242

Published: Aug. 7, 2024

Invasive species can alter the structure and functioning of invaded ecosystem, but predictions impact invasive on ecosystem are weak. Invasion is determined by interplay traits, recipient community, environmental context. However, efficient approaches to assess spatial dimension functional changes in heterogeneous environments altered plant-plant interactions lacking. Based recent technological progress, we posit a way forward i) quantify fine-scale heterogeneity context, ii) map function system, iii) trace induced invader with tracers, iv) integrate different spatio-temporal information from scales using (artificial intelligence-based) modelling better predict invasion impacts. An animated 3-D model visualisation demonstrates how maps tracers reveal dynamics Merging fine- coarse-scale spatially explicit remotely sensed metrics will open new avenues for detecting impacts functioning.

Language: Английский

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A Review of Software Solutions to Process Ground-based Point Clouds in Forest Applications

Current Forestry Reports, Journal Year: 2024, Volume and Issue: 10(6), P. 401 - 419

Published: Aug. 17, 2024

Abstract Purpose of Review In recent years, the use 3D point clouds in silviculture and forest ecology has seen a large increase interest. With development novel capture technologies, such as laser scanning, an increasing number algorithms have been developed parallel to process cloud data into more tangible results for forestry applications. From this variety available algorithms, it can be challenging users decide which apply fulfil their goals best. Here, we present extensive overview acquisition processing tools well outputs precision forestry. We then provide comprehensive database 24 obtained using close-range techniques, specifically ground-based platforms. Recent Findings Of solutions identified, 20 are open-source, two free software, remaining commercial products. The compiled solutions, along with corresponding technical guides on installation general use, is accessible web-based platform part COST Action 3DForEcoTech. may serve community single source information select specific software/algorithm that works requirements. Summary conclude various offers powerful considerably impact inventories future, although note necessity creating standardisation paradigm.

Language: Английский

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Evaluating the efficacy of sampling acquisition paths for mapping vegetation structure using terrestrial mobile laser scanning.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102675 - 102675

Published: June 15, 2024

Mobile Laser Scanning (MLS) is rapidly increasing in popularity for the capture and quantification of vegetation structure natural landscapes. However, understanding optimal implementation forest field still limited, particularly regarding choice acquisition path length followed during data capture. How variable characterisation when using different paths, this difference likely to be significant most users? In study we compared four designs commonly cited literature determine importance users capturing structure. MLS point clouds were systematically captured repeatedly survey plots a closed-canopy ecosystem south-eastern Australia. Digital elevation models, canopy height vertical voxel occupancy profiles derived illustrate sensitivity path's configuration variability We found strong agreement between that increased as increased. No differences digital models at 75% 100% lengths. observed two 25% 50% respectively. Significant model only one plot length. Mean reference was 0.09 m across all plots, 0.4 models. Voxel showed greatest understory where mean paths 5.72%. Our findings have implications use from an operational perspective, they reliability their forested Users can choose balance design with meet requirements such efficiency or ease field.

Language: Английский

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Investigating the Association of Seasonal Dynamics in GEDI Canopy Cover Profiles and Sentinel-1 Backscatter in Temperate Forests

IEEE Geoscience and Remote Sensing Letters, Journal Year: 2024, Volume and Issue: 21, P. 1 - 5

Published: Jan. 1, 2024

Language: Английский

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A Beginner’s Guide to Eddy Covariance: Methodology and Its Applications to Photosynthesis

Methods in molecular biology, Journal Year: 2024, Volume and Issue: unknown, P. 227 - 256

Published: Jan. 1, 2024

Language: Английский

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