Inter- and intra-year forest change detection and monitoring of aboveground biomass dynamics using Sentinel-2 and Landsat

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 301, P. 113931 - 113931

Published: Dec. 14, 2023

National aboveground forest biomass products enable monitoring of dynamics in a consistent and repeatable manner to inform carbon accounting sustainable management activities. The availability images the Earth's surface from combination Landsat Sentinel-2A -2B provides an opportunity capability track intra-year availing upon twice weekly acquisition opportunity. We developed algorithm that leverages these spatially spectrally compatible data sources, called Tracking Intra- Inter-year Change (TIIC), monitor change across Canada's forested ecozones (>650Mha) near-real time. Combining stand-replacing information TIIC with explicit maps (AGB), we demonstrate how intra-annual inter-annual AGB dynamics, including losses due disturbances gains vegetation growth, can be quantified temporally spatially. Using independent validation data, our results for focus year 2019 indicate TIIC, by analysing May 30 September 1, accurately detect overall accuracy 99% correctly attribute type (i.e., wildfire or mechanical removal, latter which includes timber harvesting) 99%. From initial producer's 23% changed class, increases incrementally as additional are added throughout growing season. attaining 98% end analysis period. Intra-year complements on long-term trends derived annual time series over several decades. Our indicated every ecozone, widespread small positive increments yielded were greater than sum large, punctual resulting disturbances. Overall 2019, increased 2.54%. Temporally, 80% stemming removal occurred winter such concentrated at beginning In contrast, linked fires happen more stochastically season occupy area. By way disturbance type, 36% loss was attributed 64% wildfire. Following approach demonstrated herein, changes tracked temporal frequency informative practices ecological processes landscape, thereby refining understanding dynamics.

Language: Английский

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Rapid eco‐phenotypic feedback and the temperature response of biomass dynamics

Ecology and Evolution, Journal Year: 2023, Volume and Issue: 13(1)

Published: Jan. 1, 2023

Biomass dynamics capture information on population and ecosystem-level processes (e.g., changes in production over time). Understanding how rising temperatures associated with global climate change influence biomass is thus a pressing issue ecology. The total of species depends its density average mass. Consequently, disentangling responds to increasingly warm variable ultimately understanding temperature influences both mass dynamics. Here, we address this by keeping track experimental microbial populations growing carrying capacity for 15 days at two different temperatures, the presence absence variability. We develop simple mathematical expression partition contribution assess responses either one shifts. Moreover, use time-series analysis (Convergent Cross Mapping) variability reciprocal effects vice versa. show that through dynamics, which have opposite can offset each other. also biomass, but effect independent any or Last, shift significantly across regimes, suggesting rapid environment-dependent eco-phenotypic underlie responses. Overall, our results connect phenotypic explain shedding light play cosmopolitan abundant microbes as world experiences temperatures.

Language: Английский

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Sea stack plots: Replacing bar charts with histograms

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(4)

Published: April 1, 2024

Abstract Graphs in research articles can increase the comprehension of statistical data but may mislead readers if poorly designed. We propose a new plot type, sea stack plot, which combines vertical histograms and summary statistics to represent large univariate datasets accurately, usefully, efficiently. compare five commonly used types (dot whisker plots, boxplots, density scatter dot plots) assess their relative strengths weaknesses when representing distributions observed biological studies. find assessed are either difficult read at sample sizes or have potential misrepresent certain data, showing need for an improved method visualisation. present analysis four ecology conservation journals covering multiple areas these fields, finding widespread use uninformative bar charts plots (60% all panels from groups purpose comparison). Some presented more informative figures by combining (16% panels), generally boxplots second layer such as flat better display data. This shows appetite effective within ecology, further accurate user‐friendly were made available. Finally, we describe explain how they overcome associated with other alternatives and/or unevenly distributed provide tool create our R package ‘seastackplot’, available through GitHub.

Language: Английский

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Carbon peak evaluation and causal drivers of net carbon emission time-series dynamics in typical Chinese cities

Cities, Journal Year: 2025, Volume and Issue: 160, P. 105856 - 105856

Published: Feb. 27, 2025

Language: Английский

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Thermal properties of some African tropical woods: Okoume, Bilinga, Movingui, Ozigo, and Nove and their potential in bioenergy utilisation

Biomass Conversion and Biorefinery, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Language: Английский

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The role of developmental plasticity in eco‐phenotypic population dynamics

Functional Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Abstract Individual variation in development can strongly impact population density via its on demography. When this is caused by developmental plasticity, the resulting effects are characterised as ‘eco‐phenotypic dynamics’ If plasticity turn sensitive to density, feedbacks’ arise. individual density‐dependent due resource limitation, we expect eco‐phenotypic feedbacks between rate and be widespread. Yet, exactly how rates, termed ‘heterokairy’ interacts with influence dynamics unclear. Here, provide conceptual empirical starting points assess role of heterokairy dynamics. We present a framework identify impacts, impacted by, density. This validated using existing evidence, focusing polyphenisms that comprise alternate phenotypes differ rate: ‘heterokairic polyphenisms’. find heterokairic typically fast developing (‘minor’) slow (‘major’) prevalent among ectotherms. How shapes depends whether minors (or majors) mostly expressed at low high) or vice versa. Minor‐at‐low‐density systems, such those found salamanders, aphids nematodes, reflect classic life history predictions growing, populations favour short times, whilst high‐density slower development. Alternatively, minor‐at‐high‐density systems allow resource‐stressed juveniles, most common high‐densities, still mature but reducing metabolic costs. propose opposing responses prompt different feedbacks. Our work highlights crucial plays phenotype construction, consequences it have for (meta)population evolution. call shift away from focus outcomes adulthood processes construct phenotypes. Ultimately, lead more mechanistic, thus predictive, approach understanding adaptive alternative paces within ecological evolutionary contexts. Read free Plain Language Summary article Journal blog.

Language: Английский

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Temperature and CO₂ interactively drive shifts in the compositional and functional structure of peatland protist communities

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(3)

Published: March 1, 2024

Abstract Microbes affect the global carbon cycle that influences climate change and are in turn influenced by environmental change. Here, we use data from a long‐term whole‐ecosystem warming experiment at boreal peatland to answer how temperature CO 2 jointly influence communities of abundant, diverse, yet poorly understood, non‐fungi microbial Eukaryotes (protists). These microbes ecosystem function directly through photosynthesis respiration, indirectly, predation on decomposers (bacteria fungi). Using combination high‐throughput fluid imaging 18S amplicon sequencing, report large climate‐induced, community‐wide shifts community functional composition these (size, shape, metabolism) could alter overall peatlands. Importantly, demonstrate taxonomic convergence but divergence response elevated with most responses being contingent organismal size: effects reversed amplified larger not smaller ones. findings show interactive rising levels structure food webs—a fragile stores upwards 25% all terrestrial is increasingly threatened human exploitation.

Language: Английский

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Towards a more dynamic metabolic theory of ecology to predict climate change effects on biological systems

The American Naturalist, Journal Year: 2024, Volume and Issue: 205(3), P. 285 - 305

Published: Sept. 19, 2024

AbstractThe metabolic theory of ecology (MTE) aims to link biophysical constraints on individual rates the emergence patterns at population and ecosystem scales. Because MTE links temperature's kinetic effects metabolism ecological processes higher levels organization, it holds great potential mechanistically predict how complex systems respond warming increased temperature fluctuations under climate change. To scale up from individuals ecosystems, applications classical implicitly assume that focusing steady-state dynamics averaging responses across populations adequately capture dominant attributes biological systems. However, in context change, frequent perturbations steady state rapid changes thermal performance curves via plasticity evolution are almost guaranteed. Here, we explain some assumptions made when applying MTE's simplest canonical expression can lead blind spots understanding change affects this presents an opportunity for formal expansion theory. We review existing advances direction provide a decision tree identifying dynamic modifications needed certain research questions. conclude with empirical theoretical challenges be addressed more increasingly uncertain world.

Language: Английский

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Statistical methods to identify mechanisms in studies of eco-evolutionary dynamics

Trends in Ecology & Evolution, Journal Year: 2023, Volume and Issue: 38(8), P. 760 - 772

Published: June 26, 2023

Language: Английский

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The existence and strength of higher order interactions is sensitive to environmental context

Ecology, Journal Year: 2023, Volume and Issue: 104(10)

Published: Aug. 25, 2023

Abstract One strategy for understanding the dynamics of any complex system, such as a community competing species, is to study parts system in isolation. Ecological communities can be decomposed into single and pairs interacting species. This reductionist assumes that whole‐community are predictable explainable from knowledge species assumption will violated if higher order interactions (HOIs) strong. Theory predicts HOIs should common. But it difficult detect HOIs, infer their long‐term consequences coexistence, solely short‐term data. I conducted protist microcosm experiment test among bacterivorous ciliates, sensitivity environmental context. grew three ciliate all possible combinations at each two resource enrichment levels, used population dynamic data one‐ two‐species treatments parameterize competition model level. then compared predictions parameterized whole (three‐species treatment). found existence, thus strength, was environment dependent. strong HOI low enrichment, which enabled persistence would otherwise have been competitively excluded. At high three‐species could predicted dynamics, provided accounted nonlinear intraspecific density dependence. The results provide one first rigorous demonstrations demonstrate context dependence HOIs. create challenges predicting explaining coexistence nature.

Language: Английский

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