Authors:
Fei Zhang
1
;
Yushanjiang Ayinuer
1
;
Hsiang-te Kung
2
and
Ping Shi
3
Affiliations:
1
Key Laboratory of Smart City and Environmental Modeling of Higher Education Institute, College of Resources and Environment Sciences, Xinjiang University, Urumqi, Key Laboratory of Oasis Ecology, Xinjiang University and Urumqi, China
;
2
Department of Earth Sciences, The University of Memphis, Memphis and TN
;
3
School of Foreign Languages, Jining Medical University, Jining and Shandong 272067 Urumqi, China
Keyword(s):
Land use/cover, remote sensing, CA-Markov model, simulation and forecast, ecological environment quality index, Ebinur Lake Wetland Nature Reserve
Abstract:
The study of spatial-temporal changes of the landscape is important in revealing the mechanisms and laws of landscape succession, and to search the relationship between human activities and the environment. This paper presents a research of land use/cover change (LUCC) from 1998 to 2006 and from 2006 to 2014; it also simulates and forecasts land use/cover types of Ebinur Lake Wetland National Nature Reserve (ELWNNR) by using the CA-Markov model. The purposes of this study were determined to the characteristics of landscape patterns in different altitudes. Results showed that: (1) LUCC was “three plus three minus” in ELWNNR. The bared lakebed and desert obviously expanded; land use/cover dynamic degree was 9.5% from 1998 to 2006 for bared lakebed; and 34.1% from 2006 to 2014 for desert. The transform area of land use/cover type would smaller from 2022 to 2030; (2) There were significant correlations between environment quality indices and the landscape indicators; the composition and
spatial structure of the landscape affected the spatial distribution of environment quality indices; (3) The R2 of multiple linear stepwise regression model of environmental quality indices and landscape indices in the study area was 0.7, which suggested significant correlation between these two indices. It proved that it is feasible to estimate the environmental quality indices of the study area by landscape indices. The quantified effects of landscape structure variations on this index helped to better understand the effects of land use on it and they are important for policy making and land use planning.
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