Advances in Microclimate Ecology Arising from Remote Sensing

Trends in Ecology & Evolution, Journal Year: 2019, Volume and Issue: 34(4), P. 327 - 341

Published: Jan. 15, 2019

Language: Английский

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Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities

Remote Sensing of Environment, Journal Year: 2019, Volume and Issue: 233, P. 111401 - 111401

Published: Oct. 14, 2019

Language: Английский

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Topography shapes the structure, composition and function of tropical forest landscapes

Ecology Letters, Journal Year: 2018, Volume and Issue: 21(7), P. 989 - 1000

Published: April 16, 2018

Abstract Topography is a key driver of tropical forest structure and composition, as it constrains local nutrient hydraulic conditions within which trees grow. Yet, we do not fully understand how changes in physiognomy driven by topography impact other emergent properties forests, such their aboveground carbon density ( ACD ). Working Borneo – at site where 70‐m‐tall forests alluvial valleys rapidly transition to stunted heath on nutrient‐depleted dip slopes combined field data with airborne laser scanning hyperspectral imaging characterise shapes the vertical structure, wood density, diversity nearly 15 km 2 old‐growth forest. We found that subtle differences elevation control soil chemistry hydrology profoundly influenced composition canopy. Capturing these processes was critical explaining landscape‐scale heterogeneity , highlighting emerging remote sensing technologies can provide new insights into long‐standing ecological questions.

Language: Английский

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NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 257, P. 112349 - 112349

Published: Feb. 21, 2021

The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing Planet, recommended Surface Biology and Geology (SBG) as a "Designated Targeted Observable" (DO). SBG DO is based the need for capabilities to acquire global, high spatial resolution, visible shortwave infrared (VSWIR; 380–2500 nm; ~30 m pixel resolution) hyperspectral (imaging spectroscopy) multispectral midwave thermal (MWIR: 3–5 μm; TIR: 8–12 ~60 measurements with sub-monthly temporal revisits over terrestrial, freshwater, coastal marine habitats. To address various mission design needs, an Algorithms Working Group of multidisciplinary researchers has been formed review evaluate algorithms applicable across wide range Earth science disciplines, including terrestrial aquatic ecology, atmospheric science, geology, hydrology. Here, we summarize current state-of-the-practice VSWIR TIR that use airborne or orbital spectral imaging observations priorities identified by Survey: (i) vegetation physiology, functional traits, health; (ii) inland ecosystems (iii) snow ice accumulation, melting, albedo; (iv) active surface composition (eruptions, landslides, evolving landscapes, hazard risks); (v) effects changing land energy, water, momentum, carbon fluxes; (vi) managing agriculture, natural habitats, water use/quality, urban development. We existing in following categories: snow/ice, environments, vegetation, community-state-of-practice each category. This effort synthesizes findings more than 130 scientists.

Language: Английский

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Global patterns and climatic controls of forest structural complexity

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: Jan. 22, 2021

Abstract The complexity of forest structures plays a crucial role in regulating ecosystem functions and strongly influences biodiversity. Yet, knowledge the global patterns determinants structural remains scarce. Using stand index based on terrestrial laser scanning, we quantify boreal, temperate, subtropical tropical primary forests. We find that variation is largely explained by annual precipitation seasonality (R² = 0.89). forests as benchmark, model potential across biomes present map earth´s ecoregions. Our analyses reveal distinct latitudinal structure show hotspots high coincide with plant diversity. Considering mechanistic underpinnings complexity, our results suggest spatially contrasting changes climate change within biomes.

Language: Английский

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Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models

Remote Sensing of Environment, Journal Year: 2020, Volume and Issue: 239, P. 111626 - 111626

Published: Jan. 13, 2020

Language: Английский

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Towards global data products of Essential Biodiversity Variables on species traits

Nature Ecology & Evolution, Journal Year: 2018, Volume and Issue: 2(10), P. 1531 - 1540

Published: Sept. 12, 2018

Essential Biodiversity Variables (EBVs) allow observation and reporting of global biodiversity change, but a detailed framework for the empirical derivation specific EBVs has yet to be developed. Here, we re-examine refine previous candidate set species traits show how related phenology, morphology, reproduction, physiology movement can contribute EBV operationalization. The selected express intra-specific trait variation monitoring organisms respond change. We evaluate societal relevance policy targets demonstrate open, interoperable machine-readable data enable building products. outline collection methods, meta(data) standardization, reproducible workflows, semantic tools licence requirements producing EBVs. An operationalization is critical assessing progress towards conservation sustainable development goals wide implications data-intensive science in ecology, biogeography, Earth observation.

Language: Английский

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Integrating remote sensing with ecology and evolution to advance biodiversity conservation

Nature Ecology & Evolution, Journal Year: 2022, Volume and Issue: 6(5), P. 506 - 519

Published: March 24, 2022

Language: Английский

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Monitoring biodiversity change through effective global coordination

Current Opinion in Environmental Sustainability, Journal Year: 2017, Volume and Issue: 29, P. 158 - 169

Published: Dec. 1, 2017

The ability to monitor changes in biodiversity, and their societal impact, is critical conserving species managing ecosystems. While emerging technologies increase the breadth reach of data acquisition, monitoring efforts are still spatially temporally fragmented, taxonomically biased. Appropriate long-term information remains therefore limited. Group on Earth Observations Biodiversity Observation Network (GEO BON) aims provide a general framework for biodiversity support decision-makers. Here, we discuss coordinated observing system adopted by GEO BON, review challenges advances its implementation, focusing two interconnected core components — Essential Variables as standard monitoring, Networks that harmonized observation systems while highlighting relevance.

Language: Английский

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Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 268, P. 112760 - 112760

Published: Nov. 3, 2021

NASA's Global Ecosystem Dynamics Investigation (GEDI) is a key climate mission whose goal to advance our understanding of the role forests in global carbon cycle. While GEDI first space-based LIDAR explicitly optimized measure vertical forest structure predictive aboveground biomass, accurate interpretation this vast amount waveform data across broad range observational and environmental conditions challenging. Here, we present novel supervised machine learning approach interpret waveforms regress canopy top height globally. We propose probabilistic deep based on an ensemble convolutional neural networks(CNN) avoid explicit modelling unknown effects, such as atmospheric noise. The model learns extract robust features that generalize unseen geographical regions and, addition, yields reliable estimates uncertainty. Ultimately, produced by have expected RMSE 2.7 m with low bias.

Language: Английский

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