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Remote Sens. 2016, 8(11), 917; doi:10.3390/rs8110917

The Effects of Spatiotemporal Changes in Land Degradation on Ecosystem Services Values in Sanjiang Plain, China

1
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA
4
College of Earth Science, Jilin University, Changchun 130061, China
5
College of Arts & Sciences, Beijing Union University, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Academic Editors: Rasmus Fensholt, Stephanie Horion, Torbern Tagesson, Martin Brandt, Parth Sarathi Roy and Prasad S. Thenkabail
Received: 31 August 2016 / Revised: 7 October 2016 / Accepted: 24 October 2016 / Published: 4 November 2016
(This article belongs to the Special Issue Remote Sensing of Land Degradation and Drivers of Change)
View Full-Text   |   Download PDF [5228 KB, uploaded 4 November 2016]   |  

Abstract

Sanjiang Plain has undergone dramatic land degradation since the 1950s, which has caused negative effects on ecosystems services and sustainability. In this study, we used trajectory analysis as well as the Lorenz curve, Gini coefficient and relative land use suitability index (R) to analyze spatiotemporal changes of land degradation from 1954 to 2013 and to make a preliminary estimation of the role of human activities in observed environmental changes using a five-stage LULC data. This study also explored the effect of land degradation on the values and structure of ecosystem services. Our results indicated that more than 70% of marsh area originally present in the study area has been lost, whereas less than 30% was preserved. Dry farmland and paddy increased rapidly at the expense of marsh, forest and grassland. Land use structure became more unsuitable during the past 60 years. Compared with natural factors, human activities played a dominant role (89.67%) in these changes. This dramatic land degradation caused the significant loss of ecosystem services values and the changes in the structure of ecosystem services. These results confirmed the effectiveness of combining temporal trajectory analysis, the Lorenz curve/Gini coefficient and the R index in analyzing spatiotemporal changes in progressive land degradation. Also, these findings highlight the necessity of separating dry farmland from paddy when studying land degradation changes and the effects on ecosystem services in regions where dry farmland has often been converted to paddy. View Full-Text
Keywords: land degradation; ecosystem services value; land use and land cover change; spatiotemporal changes; land use structure; Sanjiang Plain land degradation; ecosystem services value; land use and land cover change; spatiotemporal changes; land use structure; Sanjiang Plain
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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).

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Yan, F.; Zhang, S.; Liu, X.; Chen, D.; Chen, J.; Bu, K.; Yang, J.; Chang, L. The Effects of Spatiotemporal Changes in Land Degradation on Ecosystem Services Values in Sanjiang Plain, China. Remote Sens. 2016, 8, 917.

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