Predicting the ecological consequences of environmental change: a review of the methods*

By W. J. Sutherland. 2006

301 citations recorded by the source corpus.

Subfields: Ecological Modeling, Economics and Econometrics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c6f1d550a3a9cc503660778e1a6e6800241e9095

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Citations in the corpus

Using adaptive management to determine requirements of re‐introduced populations: the case of the New Zealand hihi (2007, unknown): “However, while the concept of adaptive management is widely advocated, there are few examples of true adaptive management of wildlife populations (Williams, Nichols & Conroy 2002; Sutherland 2006).”
Ecological versus ecotoxicological methods for assessing the environmental risks of transgenic crops (2007, methodology): “Here, this method is termed ‘‘ecological’’ because ecology is a pure science that has been criticised for its weak predictive power in general [25,31], and in the specific case of transgenic plants [32,33]; it has also been described as being in danger of becoming ‘‘packed with neat little studies t”
Plant pathogens, insect pests and weeds in a changing global climate: a review of approaches, challenges, research gaps, key studies and concepts (2012, background): “…analysis of various long-term datasets, (3) expert opinion and (4) generation of models that predict how projected changes in climate and/or atmospheric composition will alter distribution, prevalence, severity and management of pests and other organisms (Sutherland 2006; Chakraborty et al. 2008).”
Interdependent effects of habitat quality and climate on population growth of an endangered plant (2011, background): “Linking vital rates and population viability to key environmental factors is also important because long-term management of species will inevitably be associated with the management of environmental factors (Fieberg & Ellner 2001; Gotelli & Ellison 2006; Sutherland 2006).”
Structured elicitation of expert judgments for threatened species assessment: a case study on a continental scale using email (2012, background): “Particularly in contexts where empirical information is sparse or unobtainable, they may rely on experts as a useful, alternative source of knowledge for decision-making (Sutherland 2006; Martin et al. 2012).”
Constraints to projecting the effects of climate change on mammals (2006, background): “The capacity to predict is also a clear measure of scientific success (Lipton 2005), and an important component of our science if knowledge provided by ecologists is to have any policy effect (Walther et al. 2005, Sutherland 2006).”
Predicting survival, reproduction and abundance of polar bears under climate change. (2010, unknown): “…al., 2002; Parmesan, 2006), but quantitative predictions are lacking for most species, and existing predictions are often associated with large uncertainty , largely due to limited data and insufficiently understood causal chains (Berteaux et al., 2006; Krebs and Berteaux, 2006; Sutherland, 2006).”
The BIOKLIM Project: Biodiversity Research between Climate Change and Wilding in a temperate montane forest - The conceptual framework (2009, background): “The conventional approach of making assumptions and deriving models to make predictions about the consequences of environmental change is often unsatisfactory for complex problems and includes considerable uncertainties (HarringTon et al. 1999, ipcc 2001, suTHerland 2006).”
Adaptive management of biological systems: A review (2013, methodology): “described as ‘reactive’ management (Sutherland, 2006).”
Conservation biogeography of the Antarctic (2012, methodology): “These bioregions were obtained by a nominal group method of expert consultation (Sutherland, 2006).”
Ecological palaeoecology and conservation biology: controversies, challenges, and compromises (2012, background): “There have been major shifts in the research approach of conservation biologists in response, in part at least, to the new paradigm of conservation in a rapidly changing world (Sutherland 1998 , 2006 ; Sutherland et al.”
The application of predictive modelling of species distribution to biodiversity conservation (2007, background): “…by global change, a series of complex forces that combine both climate change and land-use change (Araújo, 2004; Thomas et al ., 2004; Whittaker et al ., 2005; Araújo & Rahbek, 2006; Araújo et al ., 2006; Root & Schneider, 2006; Schlesinger, 2006; Sutherland, 2006; Thuiller et al ., 2006a,b).”
Eliciting Expert Knowledge in Conservation Science (2012, background): “The growing use of expert knowledge in conservation science is driven by the need to characterize dynamic, complex systems, limited resources to collect new empirical data, and the urgency of conservation decisions (Sutherland 2006; Kuhnert et al. 2010).”
A comparison of threats, vulnerabilities and management approaches in global seagrass bioregions (2012, background): “Expert knowledge is fundamental to conservation decision making (Burgman 2005, Martin et al 2012), especially when actions are required before uncertainties can be resolved (Sutherland 2006, McBride and Burgman 2011).”
Effects of sea ice extent and food availability on spatial and temporal distribution of polar bears during the fall open-water period in the Southern Beaufort Sea (2008, background): “Identifying the ecological factors aVecting animal distributions can be important for predicting population-level responses to changing environmental conditions (Mills and Gorman 1997; Musiega et al. 2006; Sutherland 2006).”
Projecting climate change impacts on species distributions in megadiverse South African Cape and Southwest Australian Floristic Regions: Opportunities and challenges (2009, methodology): “There are multiple methods available to ecologists for predicting the consequences of climate change, with each method having its own strengths and weaknesses (Sutherland 2006).”
The identification of 100 ecological questions of high policy relevance in the UK (2006, background): “Inevitably there is scientific uncertainty in all of these areas (Sutherland 2006).”
A decade of climate change experiments on marine organisms: procedures, patterns and problems (2012, background): “We focused on experimental studies because these are necessary to establish mechanistic cause–effect relationships (Underwood, 1985, 1996; Sutherland, 2006; Benton et al., 2007), and because procedural aspects of correlative time-series analyses have recently been reviewed (Brown et al.”