干旱区生态环境知识资源中心(Arid): Spatiotemporal variation in ecophysiological traits align with high resolution niche modelling in the short-range banded ironstone endemic Aluta quadrata

Arid

DOI	10.1093/conphys/coae030
	Spatiotemporal variation in ecophysiological traits align with high resolution niche modelling in the short-range banded ironstone endemic Aluta quadrata
	Lewandrowski, Wolfgang; Tudor, Emily P.; Ajduk, Hayden; Tomlinson, Sean; Stevens, Jason C.
通讯作者	Lewandrowski, W
来源期刊	CONSERVATION PHYSIOLOGY
ISSN	2051-1434
出版年	2024
卷号	12 期号:1
英文摘要	We used species distribution modelling to estimate habitat suitability for the short range endemic, Aluta quadrata, in the arid northwest of Australia and conducted ecophysiological monitoring across different seasons. We found higher plant performance in the high-suitability site, providing evidence to support the species distribution model for A. quadrata. Defining plant ecophysiological responses across natural distributions enables a greater understanding of the niche that plants occupy. Much of the foundational knowledge of species' ecology and responses to environmental change across their distribution is often lacking, particularly for rare and threatened species, exacerbating management and conservation challenges. Combining high-resolution species distribution models (SDMs) with ecophysiological monitoring characterized the spatiotemporal variation in both plant traits and their interactions with their surrounding environment for the range-restricted Aluta quadrata Rye & Trudgen, and a common, co-occurring generalist, Eremophila latrobei subsp. glabra (L.S.Sm.) Chinnock., from the semi-arid Pilbara and Gascoyne region in northwest Western Australia. The plants reflected differences in gas exchange, plant health and plant water relations at sites with contrasting suitability from the SDM, with higher performance measured in the SDM-predicted high-suitability site. Seasonal differences demonstrated the highest variation across ecophysiological traits in both species, with higher performance in the austral wet season across all levels of habitat suitability. The results of this study allow us to effectively describe how plant performance in A. quadrata is distributed across the landscape in contrast to a common, widespread co-occurring species and demonstrate a level of confidence in the habitat suitability modelling derived from the SDM in predicting plant function determined through intensive ecophysiology monitoring programmes. In addition, the findings also provide a baseline approach for future conservation actions, as well as to explore the mechanisms underpinning the short-range endemism arid zone systems.
英文关键词	Chlorophyll fluorescence conservation biology drought ecophysiology edaphic factors gas exchange rare species restoration soil microclimate water potential
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001230712900001
WOS关键词	SPECIES DISTRIBUTION MODELS ; HABITAT SUITABILITY ; FUNCTIONAL TYPES ; PLANT-RESPONSES ; WATER-STRESS ; PREDICT ; PRECIPITATION ; CONSERVATION ; ACCURACY ; DROUGHT
WOS类目	Biodiversity Conservation ; Ecology ; Environmental Sciences ; Physiology
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology ; Physiology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403260
推荐引用方式 GB/T 7714	Lewandrowski, Wolfgang,Tudor, Emily P.,Ajduk, Hayden,et al. Spatiotemporal variation in ecophysiological traits align with high resolution niche modelling in the short-range banded ironstone endemic Aluta quadrata[J],2024,12(1).
APA	Lewandrowski, Wolfgang,Tudor, Emily P.,Ajduk, Hayden,Tomlinson, Sean,&Stevens, Jason C..(2024).Spatiotemporal variation in ecophysiological traits align with high resolution niche modelling in the short-range banded ironstone endemic Aluta quadrata.CONSERVATION PHYSIOLOGY,12(1).
MLA	Lewandrowski, Wolfgang,et al."Spatiotemporal variation in ecophysiological traits align with high resolution niche modelling in the short-range banded ironstone endemic Aluta quadrata".CONSERVATION PHYSIOLOGY 12.1(2024).