2015
DOI: 10.1073/pnas.1406485112
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Spatial patterns of agricultural expansion determine impacts on biodiversity and carbon storage

Abstract: The agricultural expansion and intensification required to meet growing food and agri-based product demand present important challenges to future levels and management of biodiversity and ecosystem services. Influential actors such as corporations, governments, and multilateral organizations have made commitments to meeting future agricultural demand sustainably and preserving critical ecosystems. Current approaches to predicting the impacts of agricultural expansion involve calculation of total land conversio… Show more

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Cited by 222 publications
(153 citation statements)
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References 38 publications
(31 reference statements)
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“…rapid sprawl and infill new growth) is needed. It is likely that most urban growth occurs somewhere in the middle of this spectrum, with some configurations working better than others in different locations (Chaplin-Kramer et al 2015). Therefore, it is imperative to understand how changing urban form can impact ES, and if optimal configurations at landscape scales may be achieved (Polasky et al 2008).…”
Section: Scenarios Of Urbanizationmentioning
confidence: 99%
“…rapid sprawl and infill new growth) is needed. It is likely that most urban growth occurs somewhere in the middle of this spectrum, with some configurations working better than others in different locations (Chaplin-Kramer et al 2015). Therefore, it is imperative to understand how changing urban form can impact ES, and if optimal configurations at landscape scales may be achieved (Polasky et al 2008).…”
Section: Scenarios Of Urbanizationmentioning
confidence: 99%
“…The resulting predictions are typically at too coarse a scale to capture the full impacts of changes in land use. A further step is therefore needed to predict land use change at finer resolutions, in order to capture the impacts of fragmentation or other habitat configuration on biodiversity within a landscape [81,82]. However, models that predict land use change at a country or state level (e.g., through economic modelling) may be more practical, since existing land change models are often proprietary or complex, with locally specific parameterisations which make them difficult to apply by multinational companies making global decisions.…”
Section: Further Researchmentioning
confidence: 99%
“…Landscape configuration has been demonstrated to be an important factor in many research foci including biodiversity [27,28,[65][66][67], nutrient cycles [29], pollination [30], water quality [31], climate change [68], and mapping ecosystem services [69,70]. To account for this, a landscape similarity index (LSI) [71] was calculated for each simulation run using FRAGSTATS 4.1 [72].…”
Section: Configuration Disagreementmentioning
confidence: 99%