TY  - JOUR
A1  - Lischke, Betty
A1  - Hilt, Sabine
A1  - Janse, Jan H.
A1  - Kuiper, Jan J.
A1  - Mehner, Thomas
A1  - Mooij, Wolf M.
A1  - Gaedke, Ursula
T1  - Enhanced input of terrestrial particulate organic matter reduces the resilience of the clear-water state of shallow lakes: A model study
JF  - Ecosystems
N2  - The amount of terrestrial particulate organic matter (t-POM) entering lakes is predicted to increase as a result of climate change. This may especially alter the structure and functioning of ecosystems in small, shallow lakes which can rapidly shift from a clear-water, macrophyte-dominated into a turbid, phytoplankton-dominated state. We used the integrative ecosystem model PCLake to predict how rising t-POM inputs affect the resilience of the clear-water state. PCLake links a pelagic and benthic food chain with abiotic components by a number of direct and indirect effects. We focused on three pathways (zoobenthos, zooplankton, light availability) by which elevated t-POM inputs (with and without additional nutrients) may modify the critical nutrient loading thresholds at which a clear-water lake becomes turbid and vice versa. Our model results show that (1) increased zoobenthos biomass due to the enhanced food availability results in more benthivorous fish which reduce light availability due to bioturbation, (2) zooplankton biomass does not change, but suspended t-POM reduces the consumption of autochthonous particulate organic matter which increases the turbidity, and (3) the suspended t-POM reduces the light availability for submerged macrophytes. Therefore, light availability is the key process that is indirectly or directly changed by t-POM input. This strikingly resembles the deteriorating effect of terrestrial dissolved organic matter on the light climate of lakes. In all scenarios, the resilience of the clear-water state is reduced thus making the turbid state more likely at a given nutrient loading. Therefore, our study suggests that rising t-POM input can add to the effects of climate warming making reductions in nutrient loadings even more urgent.
KW  - climate change
KW  - PCLake
KW  - bistability
KW  - alternative stable states
KW  - critical nutrient loading
KW  - ecosystem modeling
KW  - allochthony
KW  - t-POM
Y1  - 2014
U6  - https://doi.org/10.1007/s10021-014-9747-7
SN  - 1432-9840
SN  - 1435-0629
VL  - 17
IS  - 4
SP  - 616
EP  - 626
PB  - Springer
CY  - New York
ER  - 
TY  - JOUR
A1  - Mooij, Wolf M.
A1  - Brederveld, Robert J.
A1  - de Klein, Jeroen J. M.
A1  - DeAngelis, Don L.
A1  - Downing, Andrea S.
A1  - Faber, Michiel
A1  - Gerla, Daan J.
A1  - Hipsey, Matthew R.
A1  - Janse, Jan H.
A1  - Janssen, Annette B. G.
A1  - Jeuken, Michel
A1  - Kooi, Bob W.
A1  - Lischke, Betty
A1  - Petzoldt, Thomas
A1  - Postma, Leo
A1  - Schep, Sebastiaan A.
A1  - Scholten, Huub
A1  - Teurlincx, Sven
A1  - Thiange, Christophe
A1  - Trolle, Dennis
A1  - van Dam, Anne A.
A1  - van Gerven, Luuk P. A.
A1  - van Nes, Egbert H.
A1  - Kuiper, Jan J.
T1  - Serving many at once: How a database approach can create unity in dynamical ecosystem modelling
JF  - Environmental modelling & software with environment data news
N2  - Simulation modelling in ecology is a field that is becoming increasingly compartmentalized. Here we propose a Database Approach To Modelling (DATM) to create unity in dynamical ecosystem modelling with differential equations. In this approach the storage of ecological knowledge is independent of the language and platform in which the model will be run. To create an instance of the model, the information in the database is translated and augmented with the language and platform specifics. This process is automated so that a new instance can be created each time the database is updated. We describe the approach using the simple Lotka-Volterra model and the complex ecosystem model for shallow lakes PCLake, which we automatically implement in the frameworks OSIRIS, GRIND for MATLAB, ACSL, R, DUFLOW and DELWAQ. A clear advantage of working in a database is the overview it provides. The simplicity of the approach only adds to its elegance. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).
KW  - Modelling framework
KW  - Programming language
KW  - Differential equation
KW  - Community-based modelling
KW  - Database approach to modelling
KW  - DATM
Y1  - 2014
U6  - https://doi.org/10.1016/j.envsoft.2014.04.004
SN  - 1364-8152
SN  - 1873-6726
VL  - 61
SP  - 266
EP  - 273
PB  - Elsevier
CY  - Oxford
ER  -