Back to Search Start Over

A multisource approach helps to detect a forest as a reference site in an intensively used rural landscape (Uckermark, NE Germany).

Authors :
Wulf, Monika
Kaiser, Knut
Mrotzek, Almut
Geiges-Erzgräber, Lina
Schulz, Lars
Stockmann, Irina
Schneider, Thomas
Kappler, Christoph
Bens, Oliver
Source :
iForest - Biogeosciences & Forestry; Oct2021, Vol. 14 Issue 5, p426-436, 11p
Publication Year :
2021

Abstract

The sharp decline in seminatural areas worldwide is undisputed, but the consequences of this decline, apart from the loss of biodiversity, cannot be fully assessed. To restore ecosystems or landscapes, it is essential to have so-called reference sites. We want to show how reliable reference sites can be found in heavily used landscapes with the help of independent sources, and we present an approach that can be used in other regions, because it is very well suited for developing essential databases in the context of theses at different levels. A forest of seminatural stocking was selected in northeast Germany as a case study. The mapping of archival sources and the analyses of historical maps as well as field investigations were combined to reconstruct the dynamics of vegetation and soil for the last several centuries to thousands of years. Palynological data from nearby sites show that the study area has been forested for several millennia and has been less influenced by humans in the last 450 years. Together with historical maps of tree species composition, it allows to infer that the specific forest has been preserved in good ecological conditions for at least 250 years. Soil inventory and field studies on two catenas and corings support this conclusion, as they rarely show signs of anthropogenic erosion and related colluviation. Using a multisource approach, it is possible to identify potential reference sites that provide a reliable basis for ecosystem or landscape restoration. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19717458
Volume :
14
Issue :
5
Database :
Complementary Index
Journal :
iForest - Biogeosciences & Forestry
Publication Type :
Academic Journal
Accession number :
153365070
Full Text :
https://doi.org/10.3832/ifor3774-014