Remote sensing of subtropical tree diversity: The underappreciated roles of the practical definition of forest canopy and phenological variation DOI Creative Commons
Yongchao Liu, Ruyun Zhang, Chen‐Feng Lin

et al.

Forest Ecosystems, Journal Year: 2023, Volume and Issue: 10, P. 100122 - 100122

Published: Jan. 1, 2023

Tree species diversity is vital for maintaining ecosystem functions, yet our ability to map the distribution of tree limited due difficulties in traditional field-based approaches. Recent developments spaceborne remote sensing provide unprecedented opportunities and monitor more efficiently. Here we built partial least squares regression models using multispectral surface reflectance acquired by Sentinel-2 satellites inventory data from 74 subtropical forest plots predict canopy a national natural reserve eastern China. In particular, evaluated underappreciated roles practical definition phenological variation predicting testing three different definitions trees comparing satellite imagery seasons. Our best explained 42%–63% variations observed diversities cross-validation tests, with higher explanation power indices that are sensitive abundant species. The imageries early spring late autumn showed consistently better fits than those other seasons, highlighting significant role transitional phenology remotely plant diversity. results suggested cumulative diameter (60%–80%) biggest way define layer subjective fixed-diameter-threshold (5–12 ​cm) or basal area (90%–95%) trees. Remarkably, these approaches resulted contrasting maps call attention structure This study demonstrates potential mapping monitoring Sentinal-2 species-rich forests.

Language: Английский

Dispersion-assisted high-dimensional photodetector DOI
Yandong Fan,

Weian Huang,

Fei Zhu

et al.

Nature, Journal Year: 2024, Volume and Issue: 630(8015), P. 77 - 83

Published: May 15, 2024

Language: Английский

Citations

56
Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing DOI Creative Commons
Michele Torresani, Christian Rossi, Michela Perrone

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102702 - 102702

Published: July 3, 2024

Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to link between different aspects of biodiversity and spatial patterns spectral data (e.g. reflectance) measured from optical remote sensing. This hypothesis initially assumed positive correlation variations computed raster in environment, which would turn correlate with species richness: following SVH, areas characterized by high heterogeneity (SH) should be related higher number available ecological niches, more likely host when combined. The past decade has witnessed major evolution progress both terms remotely sensed available, techniques analyze them, questions addressed. SVH been tested many contexts variety sensing data, this recent corpus highlighted potentials pitfalls. aim paper is review discuss methodological developments based on leading knowledge well conceptual uncertainties limitations for application estimate dimensions biodiversity. In particular, we systematically than 130 publications provide an overview ecosystems, characteristics (i.e., spatial, temporal resolution), metrics, tools, applications strength association SH metrics reported each study. conclusion, serves guideline researchers navigating complexities applying offering insights into current state future research possibilities field estimation data.

Language: Английский

Citations

23
The Spectral Species Concept in Living Color DOI
Duccio Rocchini, Maria J. Santos, Susan L. Ustin

et al.

Journal of Geophysical Research Biogeosciences, Journal Year: 2022, Volume and Issue: 127(9)

Published: Aug. 13, 2022

Abstract Biodiversity monitoring is an almost inconceivable challenge at the scale of entire Earth. The current (and soon to be flown) generation spaceborne and airborne optical sensors (i.e., imaging spectrometers) can collect detailed information unprecedented spatial, temporal, spectral resolutions. These new data streams are preceded by a revolution in modeling analytics that utilize richness these datasets measure wide range plant traits, community composition, ecosystem functions. At heart this framework for biodiversity idea remotely identifying species making use ‘spectral species’ concept. In theory, concept defined as characterized unique signature thus detectable within pixel units image. reality, depending on spatial resolution, pixels may contain several which renders species‐specific assignment more challenging. aim paper review relate it underlying ecological principles, while also discussing complexities, challenges opportunities apply given future scientific advances remote sensing.

Language: Английский

Citations

43
Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset DOI Creative Commons
Fujiang Ji, Fa Li, Dalei Hao

et al.

New Phytologist, Journal Year: 2024, Volume and Issue: 243(1), P. 111 - 131

Published: May 6, 2024

Summary Leaf traits are essential for understanding many physiological and ecological processes. Partial least squares regression (PLSR) models with leaf spectroscopy widely applied trait estimation, but their transferability across space, time, plant functional types (PFTs) remains unclear. We compiled a novel dataset of paired spectra, 47 393 records > 700 species eight PFTs at 101 globally distributed locations multiple seasons. Using this dataset, we conducted an unprecedented comprehensive analysis to assess the PLSR in estimating traits. While demonstrate commendable performance predicting chlorophyll content, carotenoid, water, mass per area prediction within training data efficacy diminishes when extrapolating new contexts. Specifically, locations, seasons, beyond leads reduced R 2 (0.12–0.49, 0.15–0.42, 0.25–0.56) increased NRMSE (3.58–18.24%, 6.27–11.55%, 7.0–33.12%) compared nonspatial random cross‐validation. The results underscore importance incorporating greater spectral diversity model boost its transferability. These findings highlight potential errors large spatial domains, diverse PFTs, time due biased validation schemes, provide guidance future field sampling strategies remote sensing applications.

Language: Английский

Citations

10
Spectrometer‐Less Remote Sensing Image Classification Based on Gate‐Tunable van der Waals Heterostructures DOI Creative Commons
Yali Yu, Mianzeng Zhong, Tao Xiong

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 11(24)

Published: April 12, 2024

Abstract Remote sensing technology, which conventionally employs spectrometers to capture hyperspectral images, allowing for the classification and unmixing based on reflectance spectrum, has been extensively applied in diverse fields, including environmental monitoring, land resource management, agriculture. However, miniaturization of remote systems remains a challenge due complicated dispersive optical components spectrometers. Here, m‐phase GaTe 0.5 Se with wide‐spectral photoresponses (250–1064 nm) stack it WSe 2 are utilizes construct two‐dimensional van der Waals heterojunction (2D‐vdWH), enabling design gate‐tunable photodetector. By utilizing multi‐photoresponses under varying gate voltages, high accuracy recognition can be achieved aided by deep learning algorithms without original data. The proof‐of‐concept device, featuring dozens tunable achieves an average 87.00% 6 prevalent datasets, is competitive 250–1000 nm data (88.72%) far superior non‐tunable photoresponse (71.17%). Artificially designed 2D‐vdWHs /WSe ‐based photodetector present promising pathway development miniaturized cost‐effective technology.

Language: Английский

Citations

9
The past and future of ecosystem restoration in China DOI
Binbin V. Li, Shuyao Wu, Fangyuan Hua

et al.

Current Biology, Journal Year: 2024, Volume and Issue: 34(9), P. R379 - R387

Published: May 1, 2024

Language: Английский

Citations

9
Plant biodiversity and drought resilience: Insights from a resilience model study in North America DOI
Yuan Wang

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1
Plant spectra as integrative measures of plant phenotypes DOI Creative Commons
Shan Kothari, Anna K. Schweiger

Journal of Ecology, Journal Year: 2022, Volume and Issue: 110(11), P. 2536 - 2554

Published: July 28, 2022

Abstract Spectroscopy at the leaf and canopy scales has attracted considerable interest in plant ecology over past decades. Using reflectance spectra, ecologists can infer traits strategies—and community‐ or ecosystem‐level processes they correlate with—at individual community levels, covering more individuals larger areas than traditional field surveys. Because of complex entanglement structural chemical factors that generate it be tricky to understand exactly what phenotypic information contain. We discuss common approaches estimating from spectra—radiative transfer empirical models—and elaborate on their strengths limitations terms causal influences various spectrum. Many have broad, shallow overlapping absorption features, we suggest covariance among may an important role giving models flexibility estimate such traits. While trait estimates spectra been used test ecological hypotheses decades, there is also a growing body research uses directly, without specific By treating positions species multidimensional spectral space as analogous space, researchers structure communities using content full spectrum, which greater any standard set illustrate this power by showing co‐occurring grassland are separable intrinsic dimensionality data comparable fairly comprehensive datasets. Nevertheless, way make harder interpret patterns biological processes. Synthesis . Plant integrate many aspects form function. The spectrum distilled into traits, its own right. These two complementary—the former being most useful when known advance reliable exist them, latter under uncertainty about function matter most.

Language: Английский

Citations

33
Interactions between vegetation and river morphodynamics. Part II: Why is a functional trait framework important? DOI
Dov Corenblit,

Hervé Piégay,

Florent Arrignon

et al.

Earth-Science Reviews, Journal Year: 2024, Volume and Issue: 253, P. 104709 - 104709

Published: Feb. 8, 2024

Language: Английский

Citations

8
Monitoring wetland plant diversity from space: Progress and perspective DOI Creative Commons
Weiwei Sun, Daosheng Chen, Zhouyuan Li

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 130, P. 103943 - 103943

Published: May 28, 2024

Wetlands are the one of ecosystems with highest biodiversity, ecological service functions and carbon storage. Affected by synergistic impacts human activities climate change, global wetland area has decreased 35 % since 1970, far-reaching implications on biodiversity loss. Compared manual ground investigations, remote sensing is considered to be most promising method for monitoring change in order formulate effective conservation strategies due its characteristics non-contact detection, low cost timely. Here we used bibliometric analyze study sites, methods, conclusions shortcomings published papers globally over past 60 years monitoring. We show that distribution wetlands was uneven, mostly concentrated United States, China Northern Europe. Current researches mainly focused coastal, marsh estuarine wetlands, while other (e.g., lake riparian artificial peatlands high-altitude high-latitude peatlands) were still lacking. Overall, 20 platforms sensors used, near infrared shortwave length (780 ∼ 1100 nm) reliable sensitive spectral region. Among various estimation accuracy nonlinear, multi-independent variables, hyperspectral models generally higher than those linear, single-factor multispectral models, respectively. The affected both sampling time plant phenology. Most studies taxonomic within-habitat diversity (α-diversity) single-layer communities (grassland), few paid attentions functional phylogenetic inter-habitat (β-diversity) region (γ-diversity) multi-layer (forest shrubland), biodiversity-ecosystem functioning (BEF) relationships. suggest prospective should strengthen globally. multi-dimensional data mined fused provide new high accuracy. focus scale effects (α, β γ), BEF relationships, environmental gradients.

Language: Английский

Citations

8