2019
DOI: 10.1016/j.compenvurbsys.2018.10.003
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Anticipating trade-offs between urban patterns and ecosystem service production: Scenario analyses of sprawl alternatives for a rapidly urbanizing region

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Cited by 46 publications
(27 citation statements)
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References 57 publications
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“…Carbon storages in Bishkek and Dushanbe are predicted to decrease by 0.65 Tg and 0.52 Tg under the BDS, 0.16 Tg, and 0.16 Tg under the CPS, 0.5 Tg, and 0.17 Tg under the EPS, respectively. These results are in agreement with previously reported findings that future carbon storage is prone to decline [18][19][20][21]. On the contrary, Carbon storage in Nur Sultan manifests a growing tendency under all scenarios, with a growth of 0.01 Tg, 0.11 Tg, and 0.14 Tg under the BDS, CPS, and EPS, respectively.…”
Section: Carbon Storage Changes Under Three Scenariossupporting
confidence: 92%
See 1 more Smart Citation
“…Carbon storages in Bishkek and Dushanbe are predicted to decrease by 0.65 Tg and 0.52 Tg under the BDS, 0.16 Tg, and 0.16 Tg under the CPS, 0.5 Tg, and 0.17 Tg under the EPS, respectively. These results are in agreement with previously reported findings that future carbon storage is prone to decline [18][19][20][21]. On the contrary, Carbon storage in Nur Sultan manifests a growing tendency under all scenarios, with a growth of 0.01 Tg, 0.11 Tg, and 0.14 Tg under the BDS, CPS, and EPS, respectively.…”
Section: Carbon Storage Changes Under Three Scenariossupporting
confidence: 92%
“…The results showed that Britain and China would experience different degrees of decline in carbon storage, while the United States would experience an increase. At the regional scale, case studies were focused on Changsha-Zhuzhou-Xiangtan urban agglomeration [18], Hubei province [19], Beijing [20], and Charlotte [21], which came to the same conclusion of carbon storage loss with future urban expansion. However, there are still two challenges to be addressed in the existing literature.…”
Section: Introductionmentioning
confidence: 99%
“…Recent studies have shown that the diversified social demands and the environmental complexity have led to more complex interactions among multiple ES [ 11 , 12 ]. For example, an increase of ES provisions (such as food and fiber) can lead to reductions of regulating services (such as water regulation and carbon sequestration), resulting in a trade-off of one ES for another [ 13 , 14 ]. Yet, in another example, the improvement of human living environments that synergistically includes other ES (e.g., urbanization plans, including afforestation, trash separation, and increasing water area) can improve multiple regulating ES (e.g., air filtration, urban heat sinks, and surface water balance for flood regulation), and positively influence regional climates [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…Finally, a large number of studies included in this review explored methodological frameworks or tools to foster dense and green cities, namely by facilitating the management of trade-offs between urban densification and the provision of green space, such as urban development models and scenarios [124][125][126][127][128][129][130][131][132][133], frameworks for multiscale or multicriteria assessment of green spaces in the context of urban densification [134][135][136][137][138][139][140], frameworks to optimize vertical gardening, green roofs or sky gardens [141][142][143][144][145][146], or new tools for understanding and measuring how urban design affects green space accessibility [147].…”
Section: Tools and Frameworkmentioning
confidence: 99%