干旱区生态环境知识资源中心(Arid): Predictive modeling of green water availability: The role of annual plants as an ecological indicator in dryland ecosystems

Arid

DOI	10.1016/j.jaridenv.2024.105179
	Predictive modeling of green water availability: The role of annual plants as an ecological indicator in dryland ecosystems
	Abdullah, Meshal; Asadalla, Naseraldeen; Gharabi, Yassien; Mohan, Midhun; Al Naabi, Sara; Al Ali, Zahraa; Al Hashash, Nouf; Srinivasan, Shruthi; Al Awadhi, Talal; Abulibdeh, Ammar
通讯作者	Asadalla, N
来源期刊	JOURNAL OF ARID ENVIRONMENTS
ISSN	0140-1963
EISSN	1095-922X
出版年	2024
卷号	223
英文摘要	Green water is primarily associated with the appearance of annual plants and plays a significant role in biomass production in both arid and semi -arid ecosystems. Herein, we aim to estimate the optimal threshold for determining the presence or absence of annual plants and use them as an ecological indicator to assess potential green water areas in Kuwait as a case study. We integrate remote sensing techniques and MaxEnt modeling. The AUC for the annual plant distribution with all examined factors is 0.847, and the standard deviation is 0.050. The results demonstrated that potential locations with high levels of green water cover <20% of the country. The annual plant distribution was significantly correlated with several types of perennial plants, maximum temperature, precipitation, and sandy soils. It was also found that annual plants are controlled by the spring and winter temperature decline and the timing of precipitation occurrence, especially the pattern and amount of rainfall received in November. Sandy loam and loam soils were found to be ideal for annual plants, although land depressions and soil types are crucial factors in determining annual plant distribution. Additionally, annual plants enhanced the growth of several perennial communities. To reiterate, our study 's model helped to comprehend the significance of annual plants as an ecological indicator in sustaining soil moisture over a prolonged period, as well as factors controlling the distribution of annual plants. The developed model and indicators could support decision -makers in determining appropriate locations with adequate levels of green water for revegetation planning in arid landscapes.
英文关键词	Spatial analysis Water resources Desertification Restoration MaxEnt modeling Remote sensing
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001247082700001
WOS类目	Ecology ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404354
推荐引用方式 GB/T 7714	Abdullah, Meshal,Asadalla, Naseraldeen,Gharabi, Yassien,et al. Predictive modeling of green water availability: The role of annual plants as an ecological indicator in dryland ecosystems[J],2024,223.
APA	Abdullah, Meshal.,Asadalla, Naseraldeen.,Gharabi, Yassien.,Mohan, Midhun.,Al Naabi, Sara.,...&Abulibdeh, Ammar.(2024).Predictive modeling of green water availability: The role of annual plants as an ecological indicator in dryland ecosystems.JOURNAL OF ARID ENVIRONMENTS,223.
MLA	Abdullah, Meshal,et al."Predictive modeling of green water availability: The role of annual plants as an ecological indicator in dryland ecosystems".JOURNAL OF ARID ENVIRONMENTS 223(2024).