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中国西部干旱区荒漠草原相对花粉产量估算和土地覆被重建——以新疆巴里坤盆地为例

本站小编 Free考研考试/2022-01-03

王叶星1,2,,
许清海1,2,,,
张生瑞1,2,
孙沅浩1,2,
李怡雯1,2,
郝佳1,2,
黄荣1,2,
石晋东1,2,
王娜1,2,
王涛3,
李月丛1,2,
张茹春4,
阳小兰4,
周忠泽5
1. 河北师范大学资源与环境科学学院, 河北 石家庄 050024
2. 河北省环境演变与生态建设重点实验室, 河北 石家庄 050024
3. 兰州大学资源环境学院, 甘肃 兰州 730000
4. 河北省科学院地理科学研究所, 河北 石家庄 050011
5. 安徽大学资源与环境 工程学院, 安徽 合肥 230601

基金项目: 国家自然科学基金项目(批准号: 41630753、41501048和41702184)、中国国家基金委和瑞典皇家教育基金会国际合作项目(批准号: 41611130050)、河北省环境演变与生态建设重点实验室和河北省重点学科基金项目共同资助


详细信息
作者简介: 王叶星, 女, 24岁, 硕士研究生, 自然地理学专业, E-mail: 1805131782@qq.com
通讯作者: 许清海, E-mail: xuqinghai@mail.hebtu.edu.cn
中图分类号: Q944.571, P948

收稿日期:2021-02-28
修回日期:2021-05-20
刊出日期:2021-11-30



Relative pollen productivity estimates and landcover reconstruction of desert steppe in arid Western China: An example in Barkol Basin

WANG Yexing1,2,,
XU Qinghai1,2,,,
ZHANG Shengrui1,2,
SUN Yuanhao1,2,
LI Yiwen1,2,
HAO Jia1,2,
HUANG Rong1,2,
SHI Jindong1,2,
WANG Na1,2,
WANG Tao3,
LI Yuecong1,2,
ZHANG Ruchun4,
YANG Xiaolan4,
ZHOU Zhongze5
1. College of Resources and Environment Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei
2. Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, Hebei
3. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu
4. Institute of Geographical Science, Hebei Academy of Sciences, Shijiazhuang 050011, Hebei
5. School of Resources and Environmental Engineering, Anhui University, Hefei 230601, Anhui


More Information
Corresponding author: XU Qinghai,E-mail:xuqinghai@mail.hebtu.edu.cn
MSC: Q944.571, P948

--> Received Date: 28 February 2021
Revised Date: 20 May 2021
Publish Date: 30 November 2021


摘要
中国西部新疆巴里坤荒漠草原是地球陆地生态系统最脆弱的区域之一,其物种组成简单、植被盖度较低,研究其相关花粉源范围(RSAP)和相对花粉产量(RPP)对利用化石花粉数据定量重建荒漠草原区古植被、古环境具有重要意义。本文基于中国西部干旱区巴里坤盆地荒漠草原36个样点的现代花粉分析和详细植被调查,采用Prentice距离加权方法和ERV子模型2,估算出研究区RSAP为255 m;以禾本科为参照种(1±0)估算了其余5种植物类型(柽柳科1.50±0.13、蒿属16.15±1.41、藜科28.39±1.62、麻黄22.87±0.76、菊科20.50±2.68)的RPP。景观重建算法(LRA)花粉产量检验表明,禾本科、蒿属、藜科、麻黄和菊科模拟的相对植被盖度与实际相对盖度误差较小,花粉产量值可信;但柽柳科花粉重建的相对植被盖度低于实际相对盖度,花粉产量值被高估。考虑到研究区真实植被盖度较低(实际植被盖度低于30%,无植被裸地约70%),作者基于遥感影像数据,依据现代类比法(MAT)对景观重建算法重建的相对植被盖度进行了校正,校正后的各属种植被盖度与实际盖度吻合。
西部干旱区/
荒漠草原/
相对花粉产量/
相关花粉源/
ERV/
LRA

The Barkol Desert Steppe is one of the most vulnerable area on the earth's land ecological system. It has simple species composition and low vegetation coverage. Study on its relative source area of pollen(RSAP) and relevant pollen productivity(RPP) have great potential to reconstruct ancient vegetation and ancient environment in desert steppe areas. This study is based on detailed vegetation survey and modern pollen analysis of 36 sampling sites in the desert steppe area of the Barkol Basin(43°39'~44°10'N, 91°54'~92°04'E), which is located in the hinterland of arid northwest China, surrounded by mountains on all sides, using the ERV model to estimate the RSAP of the study area and the RPP of the 6 main plant types. Four plant communities are defined based on the plant species composition within 100 m of each sampling site: grass communities, Artemisia communities, Chenopodiaceae-Ephedra communities and Reaumuria songarica communities. The pollen assemblages are dominated by Chenopodiaceae, Artemisia, Ephedraceae and Asteraceae. It is estimated that RSAP of the study area is 255 m by using Prentice distance weighting method and ERV sub-model two. Compared with other steppe areas, the RSAP is smaller, which may be related to the vegetation cover, vegetation patch size, the accuracy of the vegetation map and sedimentation radius size in the study area. Using Poaceae as the reference species(1±0) to estimate the RPP of the remaining five plant types(Tamariaceae 1.50±0.13, Artemisia 16.15±1.41, Chenopodiaceae 28.39±1.62, Ephedraceae 22.87±0.76, Asteraceae 20.50±2.68). Regional climate and the composition of species may affect RPP. The modern vegetation reconstruction using Landscape Reconstruction Algorithm(LRA) shows that the errors between simulated and observed relative vegetation coverages of Poaceae, Artemisia, Chenopodiaceae, Ephedraceae and Asteraceae are small, showing the results of relative pollen productivities are credible; however, the reconstruction of relative vegetation coverage for Tamaricaceae plant is lower than the actual coverage, showing the relative pollen productivity result is overestimated. Considering the real vegetation coverage in study area is less than 30%, and the bare land(without vegetation cover) is about 70%, the author adjusts the relative vegetation coverage reconstructed by Landscape Reconstruction Algorithm approach(LRA) to true vegetation coverage according to remote sensing image data and Modern Analogue Technique(MAT). The results show that the adjusted vegetation coverage of each plant taxa is consistent with the actual coverage.
western arid area/
desert steppe/
relative pollen productivity/
relevant source area of pollen/
ERV/
LRA



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