A gridded dataset of a leaf-age-dependent leaf area index seasonality product over tropical and subtropical evergreen broadleaved forests

Abstract V c, max) and proposed a novel neighbor-based approach to develop the first gridded dataset of a monthly leaf-age-dependent leaf area index (LAI) product (referred to as Lad-LAI) at 0.25∘ spatial resolution over the continental scale during 2001–2018 from satellite observations of sun-induced chlorophyll fluorescence (SIF) that was reconstructed from MODIS and TROPOMI (the TROPOspheric Monitoring Instrument). The new Lad-LAI products show good performance in capturing the seasonality of three LAI cohorts, i.e., young (LAIyoung; the Pearson correlation coefficient of R = 0.36), mature (LAImature; R = 0.77), and old (LAIold; R = 0.59) leaves at eight camera-based observation sites (four in South America, three in subtropical Asia, and one in the Democratic Republic of the Congo (DRC)) and can also represent their interannual dynamics, validated only at the Barro Colorado site, with R young, LAImature, and LAIold, respectively. Additionally, the abrupt drops in LAIold are mostly consistent with the seasonal litterfall peaks at 53 in situ measurements across the whole tropical region (R = 0.82). The LAI seasonality of young and mature leaves also agrees well with the seasonal dynamics of the enhanced vegetation index (EVI; R = 0.61), which is a proxy for photosynthetically effective leaves. Spatially, the gridded Lad-LAI data capture a dry-season green-up of canopy leaves across the wet Amazonian areas, where mean annual precipitation exceeds 2000 mm yr- 1, consistent with previous satellite-based analyses. The spatial patterns clustered from the three LAI cohorts also coincide with those clustered from climatic variables over the whole TEF region. Herein, we provide the average seasonality of three LAI cohorts as the main dataset and their time series as a supplementary dataset. These Lad-LAI products are available at 10.6084/m9.figshare.21700955.v4 (Yang et al., 2022).

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: A gridded dataset of a leaf-age-dependent leaf area index seasonality product over tropical and subtropical evergreen broadleaved forests ; volume:15 ; number:6 ; year:2023 ; pages:2601-2622 ; extent:22 ; Earth system science data ; 15, Heft 6 (2023), 2601-2622 (gesamt 22)

Klassifikation und Themen

• Klassifikation: Biowissenschaften, Biologie

Beteiligte, Orts- und Zeitangaben

• Urheber: Yang, Xueqin ; Chen, Xiuzhi ; Ren, Jiashun ; Yuan, Wenping ; Liu, Liyang ; Liu, Juxiu ; Chen, Dexiang ; Xiao, Yihua ; Song, Qinghai ; Du, Yanjun ; Wu, Shengbiao ; Fan, Lei ; Dai, Xiaoai ; Wang, Yunpeng ; Su, Yongxian

Weitere Informationen

• DOI: 10.5194/essd-15-2601-2023
• URN: urn:nbn:de:101:1-2023062904223957717814
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 14.08.2025, 10:58 MESZ