TY  - JOUR
A1  - Meibom, S.
A1  - Barnes, Sydney A.
A1  - Covey, K.
A1  - Jeffries, R. D.
A1  - Matt, S.
A1  - Morin, J.
A1  - Palacios, A.
A1  - Reiners, A.
A1  - Sicilia-Aguilar, A.
A1  - Irwin, J.
T1  - Angular momentum evolution of cool stars: Toward a synthesis of observations and theory before and after the ZAMS
JF  - Astronomische Nachrichten = Astronomical notes
N2  - The coexistence of fast and slowly rotating cool stars in ZAMS clusters - forming distinct sequences in the color vs. rotation period plane - is providing clues to differences in their pre main-sequence angular momentum evolution. This Cool Stars 17 splinter was dedicated to a discussion of new observational and theoretical results that may help discriminate between proposed mechanisms for early angular momentum regulation and help us explain the observed ZAMS dichotomy.
KW  - circumstellar matter
KW  - stars: late-type
KW  - stars: magnetic fields
KW  - stars: pre-main sequence
KW  - stars: rotation
Y1  - 2013
U6  - https://doi.org/10.1002/asna.201211777
SN  - 0004-6337
SN  - 1521-3994
VL  - 334
IS  - 1-2
SP  - 168
EP  - 171
PB  - Wiley-VCH
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Dormann, Carsten F.
A1  - Schymanski, Stanislaus J.
A1  - Cabral, Juliano Sarmento
A1  - Chuine, Isabelle
A1  - Graham, Catherine
A1  - Hartig, Florian
A1  - Kearney, Michael
A1  - Morin, Xavier
A1  - Römermann, Christine
A1  - Schröder-Esselbach, Boris
A1  - Singer, Alexander
T1  - Correlation and process in species distribution models: bridging a dichotomy
JF  - Journal of biogeography
N2  - Within the field of species distribution modelling an apparent dichotomy exists between process-based and correlative approaches, where the processes are explicit in the former and implicit in the latter. However, these intuitive distinctions can become blurred when comparing species distribution modelling approaches in more detail. In this review article, we contrast the extremes of the correlativeprocess spectrum of species distribution models with respect to core assumptions, model building and selection strategies, validation, uncertainties, common errors and the questions they are most suited to answer. The extremes of such approaches differ clearly in many aspects, such as model building approaches, parameter estimation strategies and transferability. However, they also share strengths and weaknesses. We show that claims of one approach being intrinsically superior to the other are misguided and that they ignore the processcorrelation continuum as well as the domains of questions that each approach is addressing. Nonetheless, the application of process-based approaches to species distribution modelling lags far behind more correlative (process-implicit) methods and more research is required to explore their potential benefits. Critical issues for the employment of species distribution modelling approaches are given, together with a guideline for appropriate usage. We close with challenges for future development of process-explicit species distribution models and how they may complement current approaches to study species distributions.
KW  - Hypothesis generation
KW  - mechanistic model
KW  - parameterization
KW  - process-based model
KW  - species distribution model
KW  - SDM
KW  - uncertainty
KW  - validation
Y1  - 2012
U6  - https://doi.org/10.1111/j.1365-2699.2011.02659.x
SN  - 0305-0270
VL  - 39
IS  - 12
SP  - 2119
EP  - 2131
PB  - Wiley-Blackwell
CY  - Hoboken
ER  -