Future challenges

By Charles Perrings. Proceedings of the National Academy of Sciences of the United States of America, 2007

1,168 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/6e0ba844cd4b5dc5949d67e224159ffe4f2d68dc

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Citations in the corpus

The effects of phenotypic plasticity and local adaptation on forecasts of species range shifts under climate change. (2014, background): “While neither dispersal scenario is realistic, the two options characterise the extreme assumptions of dispersal with the truth probably lying somewhere in-between (Thuiller et al. 2008).”
The virtual ecologist approach: simulating data and observers (2010, background): “Other studies tested different threshold criteria (Jiménez-Valverde and Lobo 2007) or the use of favourability functions (Real et al. 2006, Albert and Thuiller 2008) to convert the species distribution model output to maps of presence or absence.”
Competition modulates the adaptation capacity of forests to climatic stress: insights from recent growth decline and death in relict stands of the Mediterranean fir Abies pinsapo (2010, background): “Both drought and stand structural changes have the potential to profoundly alter the growth and vigour of tree populations (Saxe et al. 2001; Sarris, Christodoulakis & Körner 2007; Thuiller et al. 2008).”
Traits to stay, traits to move: a review of functional traits to assess sensitivity and adaptive capacity of temperate and boreal trees to climate change (2016, background): “The velocity of range shifts depends on traits that affect each species’ ability to produce anddisperse seeds, aswell as establishviablepopulationsunder local site conditions (Thuiller et al. 2008; Angert et al. 2011; Araújo and Peterson 2012; Boulangeat et al. 2012; Beauregard and de Blois 2014).”
The art of modelling range‐shifting species (2010, background): “Correlative occur- rence-based approaches are most commonly applied to the problem of species distribution modelling (Thuiller et al. 2008; Elith & Leathwick 2009), but range-shifting species create two main problems for them: (1) the species records no longer reflect stable relationships with…”
Conservation biogeography – foundations, concepts and challenges (2010, background): “Various sub-types of bioclimatic-, nichebased, or ‘envelope’ models have been useful, but they have important limitations (Thuiller et al., 2008).”
Predicting the past distribution of species climatic niches. (2009, methodology): “Iverson et al. (2004) combined a habitat model with a model of habitat colonization for predicting the future distribution of tree species in North America using cellular automata (but see Thuiller et al., 2008, for a list of some limitations of this kind of approach).”
Towards a trait-based quantification of species niche (2009, methodology): “are indeed based on correlative models (Thuiller et al. 2008) that used current distribution data to predict future distribution scenarios; the accuracy of such correlative predictions,”
Climate Relicts: Past, Present, Future (2011, background): “Accordingly, many model-based projections of future species ranges have predicted generalized and significant distribution shifts during the coming decades (Thuiller et al. 2008, Pereira et al. 2010).”
Climatic Risk Atlas of European Butterflies (2008, background): “…Actual distribution and modelled present climatic niche of Cacyreus marshalli Figure D.1.12: Actual distribution and modelled present climatic niche of Colias croceus 640 Climatic Risk Atlas of European Butterfl ies Zimmermann 2000, Elith et al. 2006, Heikkinen et al. 2006, Thuiller et al. 2008).”
Past, present and future of wild ungulates in relation to changes in land use (2010, methodology): “The development of predictive habitat distribution models has recently gained importance as a relevant tool to assess the impact of global change on species’ distributions (e.g. Thuiller et al. 2008).”
Fine‐resolution (25 m) topoclimatic grids of near‐surface (5 cm) extreme temperatures and humidities across various habitats in a large (200 × 300 km) and diverse region (2011, background): “Introduction Climate change in the 21 century is expected to lead to dramatic shifts in species’ distributions and increased extinction risks (Thomas et al., 2004; IPCC, 2007; Thuiller et al., 2008).”
Temperature dependence of the reproduction niche and its relevance for plant species distributions (2012, background): “The magnitude of species range shifts and phenological changes are projected to increase as climate change progresses (Morin et al., 2007, 2008; Thuiller et al., 2008).”