气候变化领域集成服务门户(CCPortal): Resistance of mound-building termites to anthropogenic land-use change

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DOI	10.1088/1748-9326/aba0ff
	Resistance of mound-building termites to anthropogenic land-use change
	Davies A.B.; Brodrick P.G.; Parr C.L.; Asner G.P.
发表日期	2020
ISSN	17489318
卷号	15 期号:9
英文摘要	Humans pose a major threat to many species through land-use change in virtually every habitat. However, the extent of this threat is largely unknown for invertebrates due to challenges with investigating their distributions at large scales. This knowledge gap is particularly troublesome for soil macrofauna because of the critical roles many of these organisms perform as ecosystem engineers. We used a combination of high-resolution airborne Light Detection and Ranging and deep learning models to map the distribution of the ecologically important termite genus Macrotermes across a South African savanna land-use gradient, quantifying the effects of land-use change on patterns of mound densities, heights and spatial patterning. Despite significant anthropogenic alteration to landscapes, termite mounds persisted and shared a number of similarities to mounds in untransformed areas. Mean mound height was not substantially reduced in transformed landscapes, and over-dispersion of mounds at localized scales was conserved. However, mound densities were partially reduced, and height distributions in transformed areas differed to those in protected areas. Our findings suggest that mound-building termites persist even in areas of relatively high human disturbance, but also highlight important differences in termite distributions that could lead to reductions in ecosystem services provided by termites in human-modified landscapes. The persistence of at least half of mounds in human-modified landscapes could serve as starting points for savanna restoration. © 2020 Institute of Physics Publishing. All rights reserved.
英文关键词	Convolutional neural networks; Deep learning; LiDAR; Macrotermes; Savanna; South Africa; Termite mounds
语种	英语
scopus关键词	Conservation; Deep learning; Ecosystems; Optical radar; Ecosystem engineer; Ecosystem services; Height distribution; Human disturbances; Land-use change; Learning models; Light detection and ranging; Spatial patterning; Land use; anthropogenic effect; habitat type; land use change; landscape change; lidar; restoration ecology; soil ecosystem; soil microorganism; termite; South Africa; Invertebrata; Isoptera; Macrotermes
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153799
作者单位	Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States; Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ, United States; School of Environmental Sciences, University of Liverpool, Liverpool, United Kingdom; School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Zoology and Entomology, University of Pretoria, Pretoria, South Africa
推荐引用方式 GB/T 7714	Davies A.B.,Brodrick P.G.,Parr C.L.,et al. Resistance of mound-building termites to anthropogenic land-use change[J],2020,15(9).
APA	Davies A.B.,Brodrick P.G.,Parr C.L.,&Asner G.P..(2020).Resistance of mound-building termites to anthropogenic land-use change.Environmental Research Letters,15(9).
MLA	Davies A.B.,et al."Resistance of mound-building termites to anthropogenic land-use change".Environmental Research Letters 15.9(2020).