Informace o publikaci

Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory

Autoři	PÖHLKER Christopher WALTER David PAULSEN Hauke KONEMANN Tobias RODRIGUEZ-CABALLERO Emilio MORAN-ZULOAGA Daniel BRITO Joel CARBONE Samara DEGRENDELE Celine DESPRES Viviane R. DITAS Florian HOLANDA Bruna A. KAISER Johannes W. LAMMEL Gerhard LAVRIC Jost V. MING Jing PICKERSGILL Daniel POHLKER Mira L. PRASS Maria LOBS Nina SATURNO Jorge SORGEL Matthias WANG Qiaoqiao WEBER Bettina WOLFF Stefan ARTAXO Paulo POSCHL Ulrich ANDREAE Meinrat O.
Rok publikování	2019
Druh	Článek v odborném periodiku
Časopis / Zdroj	Atmospheric Chemistry and Physics
Fakulta / Pracoviště MU	Přírodovědecká fakulta
Citace
www	Full Text
Doi	http://dx.doi.org/10.5194/acp-19-8425-2019
Klíčová slova	DISPERSION MODEL FLEXPART; CLOUD CONDENSATION NUCLEI; SEA-SURFACE TEMPERATURES; LONG-TERM OBSERVATIONS; CLIMATE-CHANGE; BRAZILIAN AMAZON; RAIN-FOREST; BOUNDARY-LAYER; AIR-POLLUTION; TRACE GASES
Popis	The Amazon rain forest experiences the combined pressures from human-made deforestation and progressing climate change, causing severe and potentially disruptive perturbations of the ecosystem's integrity and stability. To intensify research on critical aspects of Amazonian biosphere-atmosphere exchange, the Amazon Tall Tower Observatory (ATTO) has been established in the central Amazon Basin. Here we present a multi-year analysis of backward trajectories to derive an effective footprint region of the observatory, which spans large parts of the particularly vulnerable eastern basin. Further, we characterize geospatial properties of the footprint regions, such as climatic conditions, distribution of ecoregions, land cover categories, deforestation dynamics, agricultural expansion, fire regimes, infrastructural development, protected areas, and future deforestation scenarios. This study is meant to be a resource and reference work, helping to embed the ATTO observations into the larger context of human-caused transformations of Amazonia. We conclude that the chances to observe an unperturbed rain forest-atmosphere exchange at the ATTO site will likely decrease in the future, whereas the atmospheric signals from human-made and climate-change-related forest perturbations will increase in frequency and intensity.
Související projekty:	Výzkumná infrastruktura RECETOX