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

Reyer, Christopher; Silveyra González, Ramiro; Dološ, Klara; Hartig, Florian; Hauf, Ylva; Noack, Matthias; Lasch‐Born, Petra; Rötzer, Thomas; Pretzsch, Hans; Mesenburg, 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; P. Weedon, Graham; Sheffield, Justin; Vega del Valle, Iliusi; Suckow, Felicitas; A. Horemans, Joanna; Martel, Simon; J. Bohn, Friedrich; Steinkamp, Jörg; Chikalanov, Alexander; Mahnken, Mats; Gutsch, Martin; Frieler, Katja

doi:10.5194/essd-2019-220

Public

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

Published • Nov 29, 2019

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

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