{"title":"绿洲区域水热分布随防护林系统空间格局和结构的变化规律——以乌兰布和沙漠绿洲为例","authors":"Feng Gao , Kexin Lv , Qun'ou Jiang , Huijie Xiao , Junran Li","doi":"10.1016/j.agrformet.2024.110345","DOIUrl":null,"url":null,"abstract":"<div><div>The shelterbelts system is crucial for the regional surface water and heat process, which is important for the oasis ecological environment. In this study, Ulan Buh Desert Oasis was taken as the study area. To overcome the problem of inherent water and heat difference between oases and deserts, this study divided the oasis ring structure into shelterbelt-farmland-urban zone, shrub grassland zone and desert zone. Firstly, the instant latent heat flux (LE), regarded as the link between water and heat, was estimated by the Two-Source Energy Balance (TSEB) model. Then, four landscape indexes were applied to quantify the shelterbelts spatial pattern. Finally, the Cooling Capacity Index (CCI) was proposed, and the influence of spatial pattern and shelterbelt structure on LE and CCI was explored. The results showed that, the high-LE area distribution was highly consistent with the shelterbelt system, and the LE temporal variation inside the oasis was more stable than outside. Besides, the 5 km shrub grassland combined with more than the 5 km shelterbelt near the desert area can bring about a rapid increase in the LE and generate cooling capacity. Meanwhile, in shelterbelt-farmland-urban zone, the LE was negatively correlated with patch shape regularity (SHAPE) and shelterbelt area (PLAND), and was positively correlated with the shape of the whole shelterbelt landscape (nLSI). In shrub grassland zone, the LE was negatively correlated with SHAPE and shelterbelts patches connectance (CONNECT), and was positively correlated with nLSI and PLAND. In desert zone, LE was only positively correlated with PLAND. To achieve more cooling effects, it is recommended that i) in shelterbelt-farmland-urban zone, use multi-row shelterbelt that the patches are with large area and complex shape consists of multiple belts and multiple networks (high PLAND and SHAPE), and densely clustered shelterbelt patches (low nLSI); ii) in shrub grassland zone, use the same spatial pattern as in shelterbelt-farmland-urban zone (low nLSI, high PLAND and high SHAPE), but replaced with the two-row shelterbelt; iii) in desert zone, use a large area of the two-row shelterbelt.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110345"},"PeriodicalIF":5.6000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How did the regional water-heat distribution in oasis area vary with the different spatial patterns and structures of shelterbelt system—A case study in Ulan Buh desert oasis\",\"authors\":\"Feng Gao , Kexin Lv , Qun'ou Jiang , Huijie Xiao , Junran Li\",\"doi\":\"10.1016/j.agrformet.2024.110345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The shelterbelts system is crucial for the regional surface water and heat process, which is important for the oasis ecological environment. In this study, Ulan Buh Desert Oasis was taken as the study area. To overcome the problem of inherent water and heat difference between oases and deserts, this study divided the oasis ring structure into shelterbelt-farmland-urban zone, shrub grassland zone and desert zone. Firstly, the instant latent heat flux (LE), regarded as the link between water and heat, was estimated by the Two-Source Energy Balance (TSEB) model. Then, four landscape indexes were applied to quantify the shelterbelts spatial pattern. Finally, the Cooling Capacity Index (CCI) was proposed, and the influence of spatial pattern and shelterbelt structure on LE and CCI was explored. The results showed that, the high-LE area distribution was highly consistent with the shelterbelt system, and the LE temporal variation inside the oasis was more stable than outside. Besides, the 5 km shrub grassland combined with more than the 5 km shelterbelt near the desert area can bring about a rapid increase in the LE and generate cooling capacity. Meanwhile, in shelterbelt-farmland-urban zone, the LE was negatively correlated with patch shape regularity (SHAPE) and shelterbelt area (PLAND), and was positively correlated with the shape of the whole shelterbelt landscape (nLSI). In shrub grassland zone, the LE was negatively correlated with SHAPE and shelterbelts patches connectance (CONNECT), and was positively correlated with nLSI and PLAND. In desert zone, LE was only positively correlated with PLAND. To achieve more cooling effects, it is recommended that i) in shelterbelt-farmland-urban zone, use multi-row shelterbelt that the patches are with large area and complex shape consists of multiple belts and multiple networks (high PLAND and SHAPE), and densely clustered shelterbelt patches (low nLSI); ii) in shrub grassland zone, use the same spatial pattern as in shelterbelt-farmland-urban zone (low nLSI, high PLAND and high SHAPE), but replaced with the two-row shelterbelt; iii) in desert zone, use a large area of the two-row shelterbelt.</div></div>\",\"PeriodicalId\":50839,\"journal\":{\"name\":\"Agricultural and Forest Meteorology\",\"volume\":\"362 \",\"pages\":\"Article 110345\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2024-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural and Forest Meteorology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168192324004581\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural and Forest Meteorology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168192324004581","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
摘要
防护林系统对区域地表水和热过程至关重要,对绿洲生态环境也很重要。本研究以乌兰布和沙漠绿洲为研究区域。为了克服绿洲与沙漠之间固有的水热差异问题,本研究将绿洲环状结构划分为防护林带-农田-城市带、灌木草原带和沙漠带。首先,利用双源能量平衡(TSEB)模型估算了被视为水和热之间联系的瞬时潜热通量(LE)。然后,应用四个景观指数来量化防护林带的空间格局。最后,提出了冷却能力指数(CCI),并探讨了空间格局和防护林结构对 LE 和 CCI 的影响。结果表明,高LE区域分布与防护林带系统高度一致,绿洲内的LE时间变化比绿洲外更稳定。此外,靠近沙漠区的 5 公里灌木草地与超过 5 公里的防护林带结合在一起,可使 LE 快速增加并产生降温能力。同时,在防护林-农田-城市带,LE 与斑块形状规整度(SHAPE)和防护林面积(PLAND)呈负相关,与整个防护林景观形状(nLSI)呈正相关。在灌木草地区,LE与SHAPE和防护林斑块连通性(CONNECT)呈负相关,与nLSI和PLAND呈正相关。在荒漠区,LE 只与 PLAND 呈正相关。为达到更佳的降温效果,建议 i) 在防护林带-农田-城市区使用多行防护林带,即斑块面积大、形状复杂,由多条带和多个网络组成(高 PLAND 和 SHAPE),且防护林带斑块密集(低 nLSI);ii) 在灌木草地带,使用与防护林带-农田-城市带相同的空间模式(低 nLSI、高 PLAND 和高 SHAPE),但改为双行防护林带; iii) 在荒漠带,使用大面积的双行防护林带。
How did the regional water-heat distribution in oasis area vary with the different spatial patterns and structures of shelterbelt system—A case study in Ulan Buh desert oasis
The shelterbelts system is crucial for the regional surface water and heat process, which is important for the oasis ecological environment. In this study, Ulan Buh Desert Oasis was taken as the study area. To overcome the problem of inherent water and heat difference between oases and deserts, this study divided the oasis ring structure into shelterbelt-farmland-urban zone, shrub grassland zone and desert zone. Firstly, the instant latent heat flux (LE), regarded as the link between water and heat, was estimated by the Two-Source Energy Balance (TSEB) model. Then, four landscape indexes were applied to quantify the shelterbelts spatial pattern. Finally, the Cooling Capacity Index (CCI) was proposed, and the influence of spatial pattern and shelterbelt structure on LE and CCI was explored. The results showed that, the high-LE area distribution was highly consistent with the shelterbelt system, and the LE temporal variation inside the oasis was more stable than outside. Besides, the 5 km shrub grassland combined with more than the 5 km shelterbelt near the desert area can bring about a rapid increase in the LE and generate cooling capacity. Meanwhile, in shelterbelt-farmland-urban zone, the LE was negatively correlated with patch shape regularity (SHAPE) and shelterbelt area (PLAND), and was positively correlated with the shape of the whole shelterbelt landscape (nLSI). In shrub grassland zone, the LE was negatively correlated with SHAPE and shelterbelts patches connectance (CONNECT), and was positively correlated with nLSI and PLAND. In desert zone, LE was only positively correlated with PLAND. To achieve more cooling effects, it is recommended that i) in shelterbelt-farmland-urban zone, use multi-row shelterbelt that the patches are with large area and complex shape consists of multiple belts and multiple networks (high PLAND and SHAPE), and densely clustered shelterbelt patches (low nLSI); ii) in shrub grassland zone, use the same spatial pattern as in shelterbelt-farmland-urban zone (low nLSI, high PLAND and high SHAPE), but replaced with the two-row shelterbelt; iii) in desert zone, use a large area of the two-row shelterbelt.
期刊介绍:
Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published.
Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.