干旱区地理 ›› 2025, Vol. 48 ›› Issue (10): 1721-1735.doi: 10.12118/j.issn.1000-6060.2024.790 cstr: 32274.14.ALG2024790
阿迪力江·帕尔合提1,2(
), 李刚勇1,2, 陈春波2,3,4(
), 彭建1,2
收稿日期:2024-12-26
修回日期:2025-01-27
出版日期:2025-10-25
发布日期:2025-10-27
通讯作者:
陈春波(1985-),男,博士,高级工程师,主要从事天然草地智能感知诊断等方面的研究. E-mail: ccb_8586@ms.xjb.ac.cn作者简介:阿迪力江·帕尔合提(2000-),男,本科,主要从事资源环境遥感研究. E-mail: a15292895767@126.com
基金资助:
Adiljan PARHAT1,2(
), LI Gangyong1,2, CHEN Chunbo2,3,4(
), PENG Jian1,2
Received:2024-12-26
Revised:2025-01-27
Published:2025-10-25
Online:2025-10-27
摘要:
生境质量是评估生态环境优劣的综合指标,反映水、土、气、生等多要素的耦合状态。荒漠化遥感生态指数(Desertification remote sensing ecological index,DRSEI)作为多指标评价模型,可定量分析干旱区人类活动(如资源开发与保护)对生境质量的影响。针对昆仑山北坡绿洲荒漠关键带,采用DRSEI探究了2004—2021年于田绿洲生境质量时空变化特征。结果表明:(1) 总体上,于田绿洲生境质量表现为波动递增趋势,DRSEI从2004年0.3545上升至2021年0.3953,增加了0.0408(+11.5%),优良DRSEI∈(0.6~1.0)面积占比从22.45%升至27.27%,差DRSEI∈(0.0~0.2)和较差DRSEI∈(0.2~0.4)占比从63.31%降至52.82%。(2) DRSEI中土壤调节植被指数与湿度指数均为正效应,表现为递增趋势,土壤干化程度、地表热度与荒漠化程度则为负效应呈递减趋势。(3) 统计分析(Sen、变异系数)显示,于田绿洲生境质量总体呈改善趋势,上升区域占比增大,绿洲中心稳定,局部边缘区域具有波动。(4) 基于时间序列预测,占比62.18%的区域未来可能出现递减趋势,绿洲边缘(北部、东北部和南部)占比24.21%。
阿迪力江·帕尔合提, 李刚勇, 陈春波, 彭建. 昆仑山北坡绿洲荒漠关键带生境质量时空变化——以和田地区于田绿洲为例[J]. 干旱区地理, 2025, 48(10): 1721-1735.
Adiljan PARHAT, LI Gangyong, CHEN Chunbo, PENG Jian. Spatio-temporal shifts in ecological habitat quality of the oasis-desert critical zone on the northern slope of Kunlun Mountains: Taking the Yutian Oasis in Hotan Prefecture as an example[J]. Arid Land Geography, 2025, 48(10): 1721-1735.
表2
生态因子指数在第一主成分(PC1)的贡献率"
| 年份 | SAVI | WET | NDBSI | LST | DI | 特征值 | 贡献率/% |
|---|---|---|---|---|---|---|---|
| 2004 | 0.414 | 0.451 | -0.428 | -0.475 | -0.466 | 0.456 | 94.61 |
| 2005 | 0.459 | 0.444 | -0.432 | -0.440 | -0.461 | 0.481 | 93.76 |
| 2006 | 0.434 | 0.447 | -0.445 | -0.473 | -0.437 | 0.520 | 93.25 |
| 2007 | 0.446 | 0.446 | -0.428 | -0.468 | -0.447 | 0.481 | 94.19 |
| 2008 | 0.444 | 0.441 | -0.427 | -0.477 | -0.445 | 0.491 | 94.32 |
| 2009 | 0.445 | 0.443 | -0.438 | -0.462 | -0.447 | 0.498 | 94.75 |
| 2010 | 0.453 | 0.437 | -0.424 | -0.466 | -0.455 | 0.501 | 93.39 |
| 2011 | 0.442 | 0.460 | -0.427 | -0.463 | -0.443 | 0.525 | 94.58 |
| 2012 | 0.456 | 0.439 | -0.415 | -0.467 | -0.457 | 0.483 | 93.98 |
| 2013 | 0.452 | 0.384 | -0.462 | -0.479 | -0.454 | 0.479 | 91.26 |
| 2014 | 0.447 | 0.454 | -0.431 | -0.455 | -0.448 | 0.487 | 94.97 |
| 2015 | 0.440 | 0.441 | -0.428 | -0.483 | -0.442 | 0.489 | 94.48 |
| 2016 | 0.450 | 0.445 | -0.452 | -0.439 | -0.451 | 0.445 | 93.48 |
| 2017 | 0.440 | 0.437 | -0.431 | -0.484 | -0.442 | 0.440 | 93.52 |
| 2018 | 0.441 | 0.443 | -0.436 | -0.473 | -0.442 | 0.486 | 95.58 |
| 2019 | 0.433 | 0.446 | -0.431 | -0.484 | -0.441 | 0.439 | 92.92 |
| 2020 | 0.422 | 0.468 | -0.400 | -0.434 | -0.505 | 0.383 | 87.03 |
| 2021 | 0.411 | 0.442 | -0.442 | -0.484 | -0.453 | 0.459 | 92.39 |
表3
DRSEI与生态因子的相关性"
| 因子 | DRSEI | SAVI | WET | NDBSI | LST | DI |
|---|---|---|---|---|---|---|
| DRSEI | 1.000 | 0.378 | 0.396 | -0.729 | -0.453 | -0.698 |
| SAVI | 0.378 | 1.000 | 0.307 | -0.117 | -0.481 | -0.801 |
| WET | 0.396 | 0.307 | 1.000 | -0.162 | -0.346 | -0.187 |
| NDBSI | -0.729 | -0.117 | -0.162 | 1.000 | 0.112 | 0.626 |
| LST | -0.453 | -0.481 | -0.346 | 0.112 | 1.000 | 0.431 |
| DI | -0.698 | -0.801 | -0.187 | 0.626 | 0.431 | 1.000 |
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