remote sensing
Article
Historic and Simulated Desert-Oasis Ecotone Changes in the
Arid Tarim River Basin, China
Fan Sun
1,2
, Yi Wang
1,3,
*, Yaning Chen
1
, Yupeng Li
1
, Qifei Zhang
1,2
, Jingxiu Qin
1,2
and Patient Mindje Kayumba
1,2
Citation: Sun, F.; Wang, Y.; Chen, Y.;
Li, Y.; Zhang, Q.; Qin, J.; Kayumba,
P.M. Historic and Simulated
Desert-Oasis Ecotone Changes in the
Arid Tarim River Basin, China.
Remote Sens. 2021, 13, 647. https://
doi.org/10.3390/rs13040647
Academic Editor: Giovanni Chirico
Received: 21 January 2021
Accepted: 6 February 2021
Published: 11 February 2021
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1
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography,
Chinese Academy of Sciences (CAS), Urumqi, Xinjiang 830011, China; sunfan18@mails.ucas.ac.cn (F.S.);
chenyn@ms.xjb.ac.cn (Y.C.); liyupeng@ms.xjb.ac.cn (Y.L.); zhangqifei15@mails.ucas.ac.cn (Q.Z.);
qinjingxiu17@mails.ucas.ac.cn (J.Q.); patientestime001@mails.ucas.ac.cn (P.M.K.)
2
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
3
School of Water Resources and Hydropower Engineering, North China Electric Power University,
Beijing 102206, China
* Correspondence: 51102473@ncepu.edu.cn; Tel.: +86-991-7823175
Abstract: The desert-oasis ecotone, as a crucial natural barrier, maintains the stability of oasis
agricultural production and protects oasis habitat security. This paper investigates the dynamic
evolution of the desert-oasis ecotone in the Tarim River Basin and predicts the near-future land-
use change in the desert-oasis ecotone using the cellular automata–Markov (CA-Markov) model.
Results indicate that the overall area of the desert-oasis ecotone shows a shrinking trend (from
67,642 km
2
in 1990 to 46,613 km
2
in 2015) and the land-use change within the desert-oasis ecotone
is mainly manifested by the conversion of a large amount of forest and grass area into arable land.
The increasing demand for arable land for groundwater has led to a decline in the groundwater
level, which is an important reason for the habitat deterioration in the desert-oasis ecotone. The
rising temperature and drought have further exacerbated this trend. Assuming the current trend
in development without intervention, the CA-Markov model predicts that by 2030, there will be
an additional 1566 km
2
of arable land and a reduction of 1151 km
2
in forested area and grassland
within the desert-oasis ecotone, which will inevitably further weaken the ecological barrier role of
the desert-oasis ecotone and trigger a growing ecological crisis.
Keywords: Tarim River Basin; desert-oasis ecotone; land-use change; CA-Markov model
1. Introduction
The spatial interface between two or more ecological regions and their material, energy,
and structural and functional systems is called an ecotone or an ecological ecotone [1]. The
desert-oasis ecotone is distributed along the periphery of an oasis and is characterized
by a zone of desert vegetation that separates the extensive desert from the oasis [2]. The
ecotone records the interaction and mutual transformation between the desert and oasis
ecosystems [3] and serves as an ecological link connecting the two. A desert-oasis ecotone
is a unique ecosystem between a desert and an oasis, usually characterized by low diversity,
sparse cover, and dominance by perennial herbaceous grasses and semi-shrubs, such
as Phragmites australis, Tamarix ramosissima, Karelinia caspia, and Alhagi sparsifolia. The
ecotone can be used for ranching (of both livestock and wild animals); its vegetation
can also increase the roughness of the underlying ground surface, thereby hindering
the development of desertification and protecting the oasis from wind erosion and sand
deposition [4–7]. At the same time, the desert-oasis ecotone is the interface between
the oasis ecosystem and the desert ecosystem where energy, material, and information
exchange occurs [8], which is highly sensitive to external environmental and human
disturbances, affected easily by human activities, including the expansion of cultivated land
Remote Sens. 2021, 13, 647. https://doi.org/10.3390/rs13040647 https://www.mdpi.com/journal/remotesensing