Improved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity

Satellite solar-induced chlorophyll fluorescence (SIF) is deemed as a good proxy for vegetation photosynthesis. To date, SIF has been shown to correlate strongly with gross primary productivity (GPP) at ecosystem scale and perform well in monitoring the impacts of extreme climate events on ecosystem...

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Autores principales:	Yang Song, Lixin Wang, Jing Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Gross primary productivity Biome type Photosynthesis Canopy structure Soil moisture Drought stress Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/19d74f679b1a4bb19c73912d23b3bd8c
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spelling	oai:doaj.org-article:19d74f679b1a4bb19c73912d23b3bd8c2021-12-01T04:56:38ZImproved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity1470-160X10.1016/j.ecolind.2021.107949https://doaj.org/article/19d74f679b1a4bb19c73912d23b3bd8c2021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006142https://doaj.org/toc/1470-160XSatellite solar-induced chlorophyll fluorescence (SIF) is deemed as a good proxy for vegetation photosynthesis. To date, SIF has been shown to correlate strongly with gross primary productivity (GPP) at ecosystem scale and perform well in monitoring the impacts of extreme climate events on ecosystem productivity. However, the SIF-GPP relationship exhibits a spatially-heterogeneous pattern across ecosystems and produces both linear and nonlinear results at different spatiotemporal scales. Understanding of the different spatiotemporal SIF-GPP relationships is still incomplete and somewhat controversial in previous studies. Here, based on the light-use efficiency (LUE) models, this study investigated the spatially-heterogeneous SIF-GPP relationships across the conterminous United States (CONUS), and examined the possible drivers and mechanisms. Our results showed that SIF and GPP exhibited similar spatiotemporal patterns but responded differently to environmental factors (i.e., soil moisture, precipitation, photosynthetically active radiation, air temperature, and atmospheric vapor pressure deficit). The correlation analysis showed that the SIF-GPP relationships were spatially-heterogeneous across the CONUS both at monthly and annual scales. Moreover, our findings also indicated that different biome types could partly explain the spatial heterogeneity of SIF-GPP relationship. Different canopy structures and vegetation coverages across biomes could be primary drivers of the spatially-heterogeneous SIF-GPP relationship. In addition, the SIF-GPP relationships under the baseline and drought scenarios appeared to be similar and consistent. It implies that there could be an invariant SIF-GPP relationship under both drought and non-drought conditions, leading to a weak effect of interannual drought on the spatial heterogeneity. In summary, our results highlight that the effects of biome characteristics (Ωbiome) and environmental stresses (Φstress) on spatially-heterogeneous SIF-GPP relationship and further explore possible mechanisms of the linkage between SIF and GPP.Yang SongLixin WangJing WangElsevierarticleGross primary productivityBiome typePhotosynthesisCanopy structureSoil moistureDrought stressEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107949- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Gross primary productivity Biome type Photosynthesis Canopy structure Soil moisture Drought stress Ecology QH540-549.5
spellingShingle	Gross primary productivity Biome type Photosynthesis Canopy structure Soil moisture Drought stress Ecology QH540-549.5 Yang Song Lixin Wang Jing Wang Improved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity
description	Satellite solar-induced chlorophyll fluorescence (SIF) is deemed as a good proxy for vegetation photosynthesis. To date, SIF has been shown to correlate strongly with gross primary productivity (GPP) at ecosystem scale and perform well in monitoring the impacts of extreme climate events on ecosystem productivity. However, the SIF-GPP relationship exhibits a spatially-heterogeneous pattern across ecosystems and produces both linear and nonlinear results at different spatiotemporal scales. Understanding of the different spatiotemporal SIF-GPP relationships is still incomplete and somewhat controversial in previous studies. Here, based on the light-use efficiency (LUE) models, this study investigated the spatially-heterogeneous SIF-GPP relationships across the conterminous United States (CONUS), and examined the possible drivers and mechanisms. Our results showed that SIF and GPP exhibited similar spatiotemporal patterns but responded differently to environmental factors (i.e., soil moisture, precipitation, photosynthetically active radiation, air temperature, and atmospheric vapor pressure deficit). The correlation analysis showed that the SIF-GPP relationships were spatially-heterogeneous across the CONUS both at monthly and annual scales. Moreover, our findings also indicated that different biome types could partly explain the spatial heterogeneity of SIF-GPP relationship. Different canopy structures and vegetation coverages across biomes could be primary drivers of the spatially-heterogeneous SIF-GPP relationship. In addition, the SIF-GPP relationships under the baseline and drought scenarios appeared to be similar and consistent. It implies that there could be an invariant SIF-GPP relationship under both drought and non-drought conditions, leading to a weak effect of interannual drought on the spatial heterogeneity. In summary, our results highlight that the effects of biome characteristics (Ωbiome) and environmental stresses (Φstress) on spatially-heterogeneous SIF-GPP relationship and further explore possible mechanisms of the linkage between SIF and GPP.
format	article
author	Yang Song Lixin Wang Jing Wang
author_facet	Yang Song Lixin Wang Jing Wang
author_sort	Yang Song
title	Improved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity
title_short	Improved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity
title_full	Improved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity
title_fullStr	Improved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity
title_full_unstemmed	Improved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity
title_sort	improved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/19d74f679b1a4bb19c73912d23b3bd8c
work_keys_str_mv	AT yangsong improvedunderstandingofthespatiallyheterogeneousrelationshipbetweensatellitesolarinducedchlorophyllfluorescenceandecosystemproductivity AT lixinwang improvedunderstandingofthespatiallyheterogeneousrelationshipbetweensatellitesolarinducedchlorophyllfluorescenceandecosystemproductivity AT jingwang improvedunderstandingofthespatiallyheterogeneousrelationshipbetweensatellitesolarinducedchlorophyllfluorescenceandecosystemproductivity
_version_	1718405647779758080

Improved understanding of the spatially-heterogeneous relationship between satellite solar-induced chlorophyll fluorescence and ecosystem productivity

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