Semantic Scholar Open Access 2018 461 sitasi

Developing China’s Ecological Redline Policy using ecosystem services assessments for land use planning

Yang Bai Christina P. Wong B. Jiang Alice C Hughes Min Wang +1 lainnya

Abstrak

Ecosystems services (ES) assessment is a significant scientific topic recognized for its potential to address sustainability issues. However, there is an absence of science–policy frameworks in land use planning that lead to the ES science being used in policy. China’s Ecological Redline Policy (ERP) is one of the first national policies utilizing multiple ES, but there is no standardized approach for working across the science–policy interface. We propose a transdisciplinary framework to determine ecological redline areas (ERAs) in Shanghai using: ES, biodiversity and ecologically fragile hotspots, landscape structure, and stakeholder opinions. We determine the five criteria to identify ERAs for Shanghai using multi-temporal, high resolution images (0.5 m) and biophysical models. We examine ERP effectiveness by comparing land use scenarios for 2040. Compared to alternative land uses, ES increase significantly under the ERP. The inclusion of ES in spatial planning led stakeholders to increase terrestrial habitat protection by 174% in Shanghai. Our analysis suggests that strategic planning for ES could reduce tradeoffs between environmental quality and development. Ecosystem services, though a prominent ecological concept, have yet to be considered in major land use policy changes. Here, the authors demonstrate how the Ecological Redline Policy implemented in Shanghai utilized ecosystem services science and stakeholder engagement.

Topik & Kata Kunci

Penulis (6)

Y

Yang Bai

C

Christina P. Wong

B

B. Jiang

A

Alice C Hughes

M

Min Wang

Q

Qing Wang

Format Sitasi

Bai, Y., Wong, C.P., Jiang, B., Hughes, A.C., Wang, M., Wang, Q. (2018). Developing China’s Ecological Redline Policy using ecosystem services assessments for land use planning. https://doi.org/10.1038/s41467-018-05306-1

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41467-018-05306-1
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
461×
Sumber Database
Semantic Scholar
DOI
10.1038/s41467-018-05306-1
Akses
Open Access ✓