The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests

Reyer, Christopher; Silveyra González, Ramiro; Dološ, Klara; Hartig, Florian; Hauf, Ylva; Noack, Matthias; Lasch‐Born, Petra; Rötzer, Thomas; Pretzsch, Hans; Meesenburg, Henning; Fleck, Stefan; Wagner, Markus; Bolte, Andreas; Sanders, Tanja; Kolari, Pasi; Mäkelä, Annikki; Vesala, Timo; Mammarella, Ivan; Pumpanen, Jukka; Collalti, Alessio; Trotta, Carlo; Matteucci, Gioṙgio; D’Andrea, Ettore; Foltýnová, Lenka; Krejza, Jan; Ibrom, Andreas; Pilegaard, Kim; Loustau, Denis; Bonnefond, Jean-Marc; Berbigier, Paul; Picart, Delphine; Lafont, S.; C. Dietze, Michael; Cameron, David; Vieno, Massimo; Tian, Hanqin; Palacios‐Orueta, Alicia; Cicuéndez, Víctor; Recuero, Laura; Wiese, Klaus; Büchner, Matthias; Lange, Stefan; Volkholz, Jan; Kim, Hyungjun; A. Horemans, Joanna; J. Bohn, Friedrich; Steinkamp, Jörg; Chikalanov, Alexander; P. Weedon, Graham; Sheffield, Justin; Babst, Flurin; Vega del Valle, Iliusi; Suckow, Felicitas; Martel, Simon; Mahnken, Mats; Gutsch, Martin; Frieler, Katja

doi:10.5194/essd-12-1295-2020

Public

The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests

Published in Earth system science data • Jun 12, 2020

Authors:

Christopher Reyer

Ramiro Silveyra González

Klara Dološ

Abstract

Abstract. Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB)...

Subject

Environmental science

Climate change

Database

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