TY  - JOUR
A1  - Cabral, Juliano Sarmento
A1  - Valente, Luis
A1  - Hartig, Florian
T1  - Mechanistic simulation models in macroecology and biogeography
BT  - state-of-art and prospects
JF  - Ecography : pattern and diversity in ecology
N2  - Macroecology and biogeography are concerned with understanding biodiversity patterns across space and time. In the past, the two disciplines have addressed this question mainly with correlative approaches, despite frequent calls for more mechanistic explanations. Recent advances in computational power, theoretical understanding, and statistical tools are, however, currently facilitating the development of more system-oriented, mechanistic models. We review these models, identify different model types and theoretical frameworks, compare their processes and properties, and summarize emergent findings. We show that ecological (physiology, demographics, dispersal, biotic interactions) and evolutionary processes, as well as environmental and human-induced drivers, are increasingly modelled mechanistically; and that new insights into biodiversity dynamics emerge from these models. Yet, substantial challenges still lie ahead for this young research field. Among these, we identify scaling, calibration, validation, and balancing complexity as pressing issues. Moreover, particular process combinations are still understudied, and so far models tend to be developed for specific applications. Future work should aim at developing more flexible and modular models that not only allow different ecological theories to be expressed and contrasted, but which are also built for tight integration with all macroecological data sources. Moving the field towards such a ‘systems macroecology’ will test and improve our understanding of the causal pathways through which eco-evolutionary processes create diversity patterns across spatial and temporal scales.
Y1  - 2016
U6  - https://doi.org/10.1111/ecog.02480
SN  - 0906-7590
SN  - 1600-0587
VL  - 40
IS  - 2
SP  - 267
EP  - 280
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Borregaard, Michael K.
A1  - Amorim, Isabel R.
A1  - Borges, Paulo A. V.
A1  - Cabral, Juliano Sarmento
A1  - Fernandez-Palacios, Jose M.
A1  - Field, Richard
A1  - Heaney, Lawrence R.
A1  - Kreft, Holger
A1  - Matthews, Thomas J.
A1  - Olesen, Jens M.
A1  - Price, Jonathan
A1  - Rigal, Francois
A1  - Steinbauer, Manuel J.
A1  - Triantis, Konstantinos A.
A1  - Valente, Luis
A1  - Weigelt, Patrick
A1  - Whittaker, Robert J.
T1  - Oceanic island biogeography through the lens of the general dynamic model: assessment and prospect
JF  - Biological reviews
KW  - archipelago
KW  - diversity theory
KW  - general dynamic model
KW  - island biogeography
KW  - island evolution
KW  - trait evolution
KW  - volcanic islands
Y1  - 2017
U6  - https://doi.org/10.1111/brv.12256
SN  - 1464-7931
SN  - 1469-185X
VL  - 92
SP  - 830
EP  - 853
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Radchuk, Viktoriia
A1  - De Laender, Frederik
A1  - Cabral, Juliano Sarmento
A1  - Boulangeat, Isabelle
A1  - Crawford, Michael Scott
A1  - Bohn, Friedrich
A1  - De Raedt, Jonathan
A1  - Scherer, Cedric
A1  - Svenning, Jens-Christian
A1  - Thonicke, Kirsten
A1  - Schurr, Frank M.
A1  - Grimm, Volker
A1  - Kramer-Schadt, Stephanie
T1  - The dimensionality of stability depends on disturbance type
JF  - Ecology letters
N2  - Ecosystems respond in various ways to disturbances. Quantifying ecological stability therefore requires inspecting multiple stability properties, such as resistance, recovery, persistence and invariability. Correlations among these properties can reduce the dimensionality of stability, simplifying the study of environmental effects on ecosystems. A key question is how the kind of disturbance affects these correlations. We here investigated the effect of three disturbance types (random, species-specific, local) applied at four intensity levels, on the dimensionality of stability at the population and community level. We used previously parameterized models that represent five natural communities, varying in species richness and the number of trophic levels. We found that disturbance type but not intensity affected the dimensionality of stability and only at the population level. The dimensionality of stability also varied greatly among species and communities. Therefore, studying stability cannot be simplified to using a single metric and multi-dimensional assessments are still to be recommended.
KW  - Community model
KW  - disturbance intensity
KW  - disturbance type
KW  - extinction
KW  - individual-based model
KW  - invariability
KW  - persistence
KW  - recovery
KW  - resistance
Y1  - 2019
U6  - https://doi.org/10.1111/ele.13226
SN  - 1461-023X
SN  - 1461-0248
VL  - 22
IS  - 4
SP  - 674
EP  - 684
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - GEN
A1  - Kalinkat, Gregor
A1  - Cabral, Juliano Sarmento
A1  - Darwall, William
A1  - Ficetola, G. Francesco
A1  - Fisher, Judith L.
A1  - Giling, Darren P.
A1  - Gosselin, Marie-Pierre
A1  - Grossart, Hans-Peter
A1  - Jaehnig, Sonja C.
A1  - Jeschke, Jonathan M.
A1  - Knopf, Klaus
A1  - Larsen, Stefano
A1  - Onandia, Gabriela
A1  - Paetzig, Marlene
A1  - Saul, Wolf-Christian
A1  - Singer, Gabriel
A1  - Sperfeld, Erik
A1  - Jaric, Ivan
T1  - Flagship umbrella species needed for the conservation of overlooked aquatic biodiversity
T2  - Conservation biology : the journal of the Society for Conservation Biology
Y1  - 2017
U6  - https://doi.org/10.1111/cobi.12813
SN  - 0888-8892
SN  - 1523-1739
VL  - 31
SP  - 481
EP  - 485
PB  - Wiley
CY  - Hoboken
ER  -