Next Article in Journal
An Optimal Operation Model and Ordered Charging/Discharging Strategy for Battery Swapping Stations
Previous Article in Journal
Integrating Agroecology and Participatory Action Research (PAR): Lessons from Central America
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(5), 708; doi:10.3390/su9050708

Modeling the Relative Contributions of Land Use Change and Harvest to Forest Landscape Change in the Taihe County, China

1,2
,
1,2,* and 1,2
1
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Academic Editor: Audrey L. Mayer
Received: 22 January 2017 / Revised: 25 April 2017 / Accepted: 26 April 2017 / Published: 28 April 2017
(This article belongs to the Section Sustainable Use of the Environment and Resources)
View Full-Text   |   Download PDF [8045 KB, uploaded 28 April 2017]   |  

Abstract

Forests are under pressure from land use change due to anthropogenic activities. Land use change and harvest are the main disturbances of forest landscape changes. Few studies have focused on the relative contributions of different disturbances. In this study, we used the CA-Markov model, a land-use change model, coupled with a forest landscape model, LANDIS-II, to simulate dynamic change in Taihe County, China, from 2010 to 2050. Scenarios analysis was conducted to quantify the relative contributions of land use change and harvest. Our results show that forestland and arable land will remain the primary land-use types in 2050, whereas the built-up land will sprawl drastically. Land use change and harvest may result in the significant loss of forest area and changes in landscape structure. The simulated forest area will increase by 16.2% under the no disturbance scenario. However, under harvest, forest conversion, and integrated scenario, the area will be reduced by 5.2%, 16.5%, and 34.9%, respectively. The effect of harvest is gradually enhanced. The land use change will account for 60% and harvest will account for 40% of forest landscape change in 2050, respectively. Our results may benefit from the integration of regional forest management and land-use policy-making, and help to achieve a trade-off between economy and ecological environment. View Full-Text
Keywords: land use change; forest landscape; relative contributions; CA-Markov model; LANDIS-II land use change; forest landscape; relative contributions; CA-Markov model; LANDIS-II
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wu, Z.; Ge, Q.; Dai, E. Modeling the Relative Contributions of Land Use Change and Harvest to Forest Landscape Change in the Taihe County, China. Sustainability 2017, 9, 708.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top