Showing papers by "Renée M. Bekker published in 2006"
TL;DR: In this article, the responsiveness of integrative plant traits to raised groundwater tables was related to soil type and vegetation presence and depended on actual groundwater levels, in which oligotrophic species, "drier" species, and higher seed longevity occupied gaps created by vegetation dieback on rewetting.
Abstract: Question: Is raising groundwater tables successful as a wetland restoration strategy? Location: Kennemer dunes, The Netherlands; Moksloot dunes, The Netherlands and Bullock Creek fen, New Zealand. Methods: Generalizations were made by analysing soil dynamics and the responsiveness of integrative plant traits on moisture, nutrient regime and seed dispersal in three case studies of rewetted vs. control wetlands with the same actual groundwater levels. Soil conditions included mineral (calcareous and non-calcareous) soils with no initial vegetation, mineral soils with established vegetation and organic soils with vegetation. Results: The responsiveness of traits to raised groundwater tables was related to soil type and vegetation presence and depended on actual groundwater levels. In the moist-wet zone, oligotrophic species, ‘drier’ species with higher seed longevity occupied gaps created by vegetation dieback on rewetting. The other rewetted zones still reflected trait values of the vegetation prev...
20 citations
TL;DR: The DIONE data miner is presented, which addresses the nature of plant trait data from a data mining perspective and points out problems that arise when preparing data for this process.
Abstract: Most data mining techniques have rarely been used in ecology To address the specific needs of scientists analysing data from a plant trait database developed during the LEDA project, a web-based data mining tool has been developed This paper presents the DIONE data miner and the project it has been developed in It addresses the nature of plant trait data from a data mining perspective and points out problems that arise when preparing data for this process The availability of a large amount of high quality data is an essential prerequisite for successful data mining To ensure this, a software aided reviewing process has been integrated into the LEDA Traitbase system The process enables third-party contributors to easily commit their data to LEDA, while assuring adherence of the data to the LEDA standard The paper concludes with information about data mining results on plant trait data achieved so far and gives an outlook on the applicability of data mining to the fields of ecology
9 citations