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Hashtag
#GrossPrimaryProduction
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Result 2: #Embeddings that capture ecologically meaningful patterns. We demonstrate this by successfully modelling #GrossPrimaryProduction proving our representations retain the temporal fidelity needed for fine-scale ecosystem analysis.

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Multiyear averages and trends of vegetation phenology in the Jinsha River watershed from 1982 to 2018.

Multiyear averages and trends of vegetation phenology in the Jinsha River watershed from 1982 to 2018.

Ming-Wei Li et al. investigated the spatiotemporal patterns of #GrossPrimaryProduction (GPP) from 1982 to 2018 and its drivers in the #JinshaRiverWatershed.

#ClimateChange | #GrowingSeasonLength | #DynamicDrivers

@mapjournals.bsky.social

doi.org/10.1093/jpe/...

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Climate diagrams at the BNS site (a), PSO site (b), SKR site (c) and MKL site, respectively.

Climate diagrams at the BNS site (a), PSO site (b), SKR site (c) and MKL site, respectively.

Averaged annual variation in solar radiation for both observed (circles) and calculated (line) values with daily intervals at the BNS site (a), MKL site (b), SKR site (c) and PSO site, respectively.

Averaged annual variation in solar radiation for both observed (circles) and calculated (line) values with daily intervals at the BNS site (a), MKL site (b), SKR site (c) and PSO site, respectively.

【EDITOR'S CHOICE】
Asian tropical forests assimilating carbon under dry conditions: water stress or light benefits?

#EddyCovariance | #LeafAreaIndex | #AdaptiveStrategy | #EcosystemPhysiology | #GrossPrimaryProduction | #LatentHeatFlux | #WaterUseEfficiency

doi.org/10.1093/jpe/...

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Multiyear averages and trends of vegetation phenology in the Jinsha River watershed from 1982 to 2018.

Multiyear averages and trends of vegetation phenology in the Jinsha River watershed from 1982 to 2018.

The dominant areas and partial correlation coefficients of drivers for vegetation gross primary productivity in the Jinsha River watershed during 1982–2018 (a), 1982–2000 (b) and 2001–2018 (c).

The dominant areas and partial correlation coefficients of drivers for vegetation gross primary productivity in the Jinsha River watershed during 1982–2018 (a), 1982–2000 (b) and 2001–2018 (c).

📌 #ClimateDrivers & #VegetationGrowingSeasonLength (GSL)➡️ #GrossPrimaryProduction (GPP)🟰Contributions❓
Place: #JinshaRiverWatershed
Results:
1️⃣ The effect of GSL on GPP was the highest.🔝
2️⃣ GSL was playing an increasingly important role.
doi.org/10.1093/jpe/...

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Our #AI approach aims to reduce the dimensions of hundreds of #spectralIndices and obtain #spatioTemporal features to analyse #phenology #biodiversity #treeMortality #GrossPrimaryProduction, impact of #ligniteMines on #forest. #Sentinel2

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LAI calculated based on light transmittance at the BNS, MKL and SKR sites. Data for the PSO site were collected from satellite images. The shaded area indicates the rainy season.

LAI calculated based on light transmittance at the BNS, MKL and SKR sites. Data for the PSO site were collected from satellite images. The shaded area indicates the rainy season.

Lian-Yan Yang et al. evaluated the #AdaptiveStrategies of Asian #TropicalForests based on the #GrossPrimaryProduction seasonality, and tried to explore whether its #Photosynthesis under #DryConditions is limited by #WaterStress or enhanced by increased #SolarRadiation.
doi.org/10.1093/jpe/...

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Multiyear averages and trends of vegetation phenology in the Jinsha River watershed from 1982 to 2018.

Multiyear averages and trends of vegetation phenology in the Jinsha River watershed from 1982 to 2018.

The relative contributions of #ClimateDrivers and #VegetationPhenology to #GrossPrimaryProduction (GPP) remain unclear. Ming-Wei Li et al. investigated the #SpatiotemporalPatterns of GPP and its drivers in the #JinshaRiver watershed based on datasets.
doi.org/10.1093/jpe/...

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