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Planning forwards: biodiversity research and monitoring systems for better management

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    Whereas socio-demographic differences between respondent populations have the potential to impact respondent awareness and interactions with wildlife, demographic parameters were accounted for in our models and similar findings for pangolins have been suggested elsewhere (Schoppe and Cruz, 2009). Southern Palawan is subject to high levels of land conversion (Haughland et al., 2010), with major mining activities present in Bataraza and Brooke’s Point. Over the past decade, palm oil expansion has taken place in Aborlan, Bataraza, Brooke’s Point, Rizal, Quezon and Sofronio Española, with >8000 ha converted to palm oil by 2015 and 20,000 ha set to follow suit (Larsen et al., 2014; PCSDS, 2015).

  • Rapid and varied responses of songbirds to climate change in California coniferous forests

    2020, Biological Conservation
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    Two examples of these limitations are that they have less flexibility to stop singing on hot days even though singing is metabolically expensive (McGrann and Furnas, 2016), and less flexibility to adapt the timing of their breeding phenology (Mayor et al., 2017; Furnas and McGrann, 2018). In light of heterogeneous responses of biodiversity to climate change and other stressors in the Anthropocene, wildlife agencies are called upon to prioritize long-term monitoring of multiple species over large geographic regions (Manley et al., 2005; DeWan and Zipkin, 2010; Haughland et al., 2010). Estimates of species- and location-specific population trends are vital to informed, science-based adaptive management and conservation planning (Walters, 1986).

  • Can digital reinvention of ecological monitoring remove barriers to its adoption by practitioners? A case study of deer management in Scotland

    2016, Journal of Environmental Management
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    Adaptive monitoring encourages the evolution of methods as new information becomes available, or as management objectives change (Lindenmayer and Likens, 2009). However, adaptive monitoring has faced criticism that shifting protocols affect the ability to identify long-term data patterns (Hutto and Belote, 2013:186), make it difficult to address broader scientific questions (Haughland et al., 2010) and result in the documentation of trends without the capability to determine underlying causes (Holland et al., 2012: 95). In nature conservation such criticisms can exacerbate the problem of monitoring as an activity aimed at informing policy, but isolated from informing management decisions (Sutherland et al., 2004; Pullin et al., 2004; Westgate et al., 2013).

  • Is a picture worth a thousand species? Evaluating human perception of biodiversity intactness using images of cumulative effects

    2012, Ecological Indicators
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    With increased awareness of the importance of biodiversity has come societal pressure for effective monitoring and management of this challenging concept (Dobson, 2005; Chiarucci et al., 2011). Several groups have tackled the issue of monitoring biodiversity by developing standardized protocols for monitoring as broad a range of species as economically possible (reviewed by Haughland et al., 2010). A vast amount of information is gathered that unless synthesized in a meaningful way makes interpretation difficult, especially for the general public (Chiarucci et al., 2011).

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