新疆叶尔羌河流域景观生态风险评价及预测

doi:10.13866/j.azr.2024.04.14

Abstract

Abstract:

Landscape ecological risk evaluation is an essential tool for measuring the safety of ecosystems within a certain range. Taking the Yarkant River Basin as the study area, we synthesized the Markov-PLUS model and the landscape ecological risk assessment index to analyze and predict the evolution characteristics of land use and landscape ecological risk and the change trends under multiple future scenarios and to delineate the risk focus management regions. The results were as follows: (1) Cultivated land, water, and impervious surface in the Yarkant River Basin increased, and woodland, grassland, and unused land decreased from 2005 to 2020. In 2035, land use under Scenario I followed the historical development pattern of change. In comparison with Scenario I, cultivated land increased and other land types decreased in Scenario II; woodland, grassland, and water increased and cultivated land, impervious surface, and unused land decreased in Scenario III. (2) From 2005 to 2035, the landscape ecological risk of the Yarkant River Basin as a whole showed an upward trend, and the spatial distribution was characterized by “low in the southwest and high in the northeast.” The risk deterioration area was mainly concentrated in the alluvial plains at lower altitudes, and the risk maintenance area was mainly distributed in the mountains and glaciers at higher altitudes. (3) In comparison with Scenarios I and II, Scenario III had a smaller average value of the landscape ecological risk index, and it was the optimal future scenario to achieve a win-win situation for both ecological protection and economic development in the Yarkant River Basin. (4) The alluvial plain in the northeastern part of the Yarkant River Basin was a stable high-risk region, the edges of the alluvial plain and the mountains in the west were risk-prone regions, and the mountains and glaciers in the south were increasing-risk lagging regions. The results of this study can provide a reference for the optimization of local landscape ecological security patterns and ecological risk prevention or reduction.

Key words: land use, landscape ecological risk, different scenarios, the Yarkant River Basin, Xinjiang

SI Qi, FAN Haoran, DONG Wenming, LIU Xinping. Landscape ecological risk assessment and prediction for the Yarkant River Basin, Xinjiang, China[J].Arid Zone Research, 2024, 41(4): 684-696.

Figures/Tables 12

Fig. 1

Tab. 1

Fig. 2

Tab. 2

Connotation and characterization of landscape indices for landscape ecological risk assessment"

名称	公式、内涵及特点
景观破碎度 $C i$	$C i = N i A i$ ；用于描述景观斑块类型的破碎化以及景观空间结构的复杂性
景观分离度 $N i$	$N i = 12 × N i A × A A i$ ；用于反映景观斑块个体的分散程度
景观优势度 $D i$	$D i = Q i + M i 4 + L i 2$ ；用于衡量景观组成中某景观类型支配景观的程度
景观干扰度 $S i$	$S i = a C i + b N i + c D i$ ；用于描述外部因素干扰对景观的影响。考虑到破碎化在很大程度上反映了人类对景观的干扰程度，并借鉴新疆内流河流域相关研究^[23⇓-25]，对 $a$ 、 $b$ 、 $c$ 分别赋值为0.5、0.3、0.2
景观脆弱度 $F i$	用于表示景观对外界干扰的敏感度。参考干旱区相关研究^[26⇓-28]，根据叶尔羌河流域景观变化特点发现，土地转为建设用地后受到干扰的可能性很小；林地、草地稳定性相对较高；受退耕还林还草以及耕地保护等政策影响，耕地较易发生转化；干旱区未利用地的恢复重建较为困难；水资源对气候变化、人类活动干扰十分敏感。经过分析最终对建设用地、林地、草地、耕地、未利用地、水体依次赋值为1、2、3、4、5、6，并进行归一化处理得到脆弱度

Tab. 2

Tab. 3

Fig. 3

Tab. 4

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

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情景	参数设定
自然发展(I)	作为一个基准情景，假设各类用地按当前发展规律继续演变，不考虑额外政策干预
耕地保护(II)	聚焦于维持和保护耕地，限制耕地向其他地类发生转变，将草地、未利用地向耕地的转移概率提高25%，保持林地、水体和建设用地的转移概率
生态优先(III)	强调自然资源和生态系统保护，限制林地、水体向其他地类发生转变，将耕地、草地向建设用地的转移概率减少30%，耕地向林地、草地的转移概率增加15%，未利用地向林地、草地的转移概率增加50%

土地利用类型	面积/km²				动态度/%
土地利用类型	2005年	2010年	2015年	2020年	2005—2010年	2010—2015年	2015—2020年
耕地	6601.83	7504.97	8200.28	8215.99	2.74	1.85	0.04
林地	1714.31	1011.08	999.63	998.59	-8.20	-0.23	-0.02
草地	31732.06	32510.46	31910.40	31685.92	0.49	-0.37	-0.14
水体	927.38	1157.84	1093.64	1129.51	4.97	-1.11	0.66
建设用地	280.38	382.11	424.01	440.06	7.26	2.19	0.76
未利用地	40631.48	39281.19	39186.54	39162.09	-0.66	-0.05	-0.01

情景	土地利用类型面积/km²
情景	耕地	林地	草地	水体	建设用地	未利用地
自然发展(I)	9565.78	925.46	31601.80	1201.99	548.73	37967.71
耕地保护(II)	10451.83	919.68	31326.26	1153.65	501.17	37458.78
生态优先(III)	8337.43	1255.89	33189.49	1233.38	532.29	37263.35

Landscape ecological risk assessment and prediction for the Yarkant River Basin, Xinjiang, China

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