Literature DB >> 27021691

Potential impact of land use change on ecosystem services in China.

Meng Wang1, Xiaofang Sun2,3.   

Abstract

Land use change can greatly alter spatial pattern and overall ecosystem service values (ESV). The goal of this study was to explore the likely effects of land use change on ESV in China. In this paper, the spatially explicit land use changes across China from 2010 to 2020 under the 2000s trend scenario and the planning scenario were projected using the Dyna-CLUE model. The ESV evaluation method was improved by adjusting the ESV coefficients using biomass data to reduce the generalization error of proxy-based method. The results revealed that between 2010 and 2020, total ESV increased by 1798 and 2215 billion RMB a(-1) under the 2000s trend scenario and the planning scenario, respectively. The spatial pattern of ESV in 2010 and 2020 presented a logical geographic distribution. The areas with ESV of 50,000 RMB ha(-1) a(-1) and higher occurred primarily in northeastern and southern China, while the areas with ESV of 5000 RMB ha(-1) a(-1) and lower were mainly located in northwestern China. The spatial differences between the two scenarios were insignificant except that the increase of ESV in southwestern China was more prominent in the planning scenario than that in the 2000s trend scenario, while the total ESV in 2020 under the planning scenario was larger than that in the 2000s trend scenario. The increase of ESV occurred mainly in northeastern, southern, and southeastern China due to forest growth and woodland expansion in 2020 compared with 2010. The results of this study can provide useful information for the public and land managers to consider.

Keywords:  China; Ecosystem service values; Land use change; Spatial modeling

Mesh:

Year:  2016        PMID: 27021691     DOI: 10.1007/s10661-016-5245-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  8 in total

1.  Mapping socio-economic scenarios of land cover change: a GIS method to enable ecosystem service modelling.

Authors:  R D Swetnam; B Fisher; B P Mbilinyi; P K T Munishi; S Willcock; T Ricketts; S Mwakalila; A Balmford; N D Burgess; A R Marshall; S L Lewis
Journal:  J Environ Manage       Date:  2010-10-06       Impact factor: 6.789

2.  The carbon balance of terrestrial ecosystems in China.

Authors:  Shilong Piao; Jingyun Fang; Philippe Ciais; Philippe Peylin; Yao Huang; Stephen Sitch; Tao Wang
Journal:  Nature       Date:  2009-04-23       Impact factor: 49.962

3.  Bringing ecosystem services into economic decision-making: land use in the United Kingdom.

Authors:  Ian J Bateman; Amii R Harwood; Georgina M Mace; Robert T Watson; David J Abson; Barnaby Andrews; Amy Binner; Andrew Crowe; Brett H Day; Steve Dugdale; Carlo Fezzi; Jo Foden; David Hadley; Roy Haines-Young; Mark Hulme; Andreas Kontoleon; Andrew A Lovett; Paul Munday; Unai Pascual; James Paterson; Grischa Perino; Antara Sen; Gavin Siriwardena; Daan van Soest; Mette Termansen
Journal:  Science       Date:  2013-07-05       Impact factor: 47.728

4.  A Coupled SD and CLUE-S Model for Exploring the Impact of Land Use Change on Ecosystem Service Value: A Case Study in Baoshan District, Shanghai, China.

Authors:  Meng Wu; Xiangyu Ren; Yue Che; Kai Yang
Journal:  Environ Manage       Date:  2015-04-30       Impact factor: 3.266

5.  Global effects of land use on local terrestrial biodiversity.

Authors:  Tim Newbold; Lawrence N Hudson; Samantha L L Hill; Sara Contu; Igor Lysenko; Rebecca A Senior; Luca Börger; Dominic J Bennett; Argyrios Choimes; Ben Collen; Julie Day; Adriana De Palma; Sandra Díaz; Susy Echeverria-Londoño; Melanie J Edgar; Anat Feldman; Morgan Garon; Michelle L K Harrison; Tamera Alhusseini; Daniel J Ingram; Yuval Itescu; Jens Kattge; Victoria Kemp; Lucinda Kirkpatrick; Michael Kleyer; David Laginha Pinto Correia; Callum D Martin; Shai Meiri; Maria Novosolov; Yuan Pan; Helen R P Phillips; Drew W Purves; Alexandra Robinson; Jake Simpson; Sean L Tuck; Evan Weiher; Hannah J White; Robert M Ewers; Georgina M Mace; Jörn P W Scharlemann; Andy Purvis
Journal:  Nature       Date:  2015-04-02       Impact factor: 49.962

6.  Assessment of the effects of forest land use strategies on the provision of ecosystem services at regional scale.

Authors:  Christine Fürst; Susanne Frank; Anke Witt; Lars Koschke; Franz Makeschin
Journal:  J Environ Manage       Date:  2012-11-15       Impact factor: 6.789

7.  Projected land-use change impacts on ecosystem services in the United States.

Authors:  Joshua J Lawler; David J Lewis; Erik Nelson; Andrew J Plantinga; Stephen Polasky; John C Withey; David P Helmers; Sebastián Martinuzzi; Derric Pennington; Volker C Radeloff
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-05       Impact factor: 11.205

Review 8.  Global consequences of land use.

Authors:  Jonathan A Foley; Ruth Defries; Gregory P Asner; Carol Barford; Gordon Bonan; Stephen R Carpenter; F Stuart Chapin; Michael T Coe; Gretchen C Daily; Holly K Gibbs; Joseph H Helkowski; Tracey Holloway; Erica A Howard; Christopher J Kucharik; Chad Monfreda; Jonathan A Patz; I Colin Prentice; Navin Ramankutty; Peter K Snyder
Journal:  Science       Date:  2005-07-22       Impact factor: 47.728

  8 in total
  3 in total

1.  Spatial multi-scale relationships of ecosystem services: A case study using a geostatistical methodology.

Authors:  Yang Liu; Jun Bi; Jianshu Lv; Zongwei Ma; Ce Wang
Journal:  Sci Rep       Date:  2017-08-25       Impact factor: 4.379

2.  Changes in Ecosystem Services Value and Establishment of Watershed Ecological Compensation Standards.

Authors:  Xin Gao; Juqin Shen; Weijun He; Fuhua Sun; Zhaofang Zhang; Xin Zhang; Chengcai Zhang; Yang Kong; Min An; Liang Yuan; Xiaocang Xu
Journal:  Int J Environ Res Public Health       Date:  2019-08-16       Impact factor: 4.614

3.  Impact of land use land cover changes on ecosystem service value - A case study of Guangdong, Hong Kong, and Macao in South China.

Authors:  Sarah Hasan; Wenzhong Shi; Xiaolin Zhu
Journal:  PLoS One       Date:  2020-04-08       Impact factor: 3.240

  3 in total

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