Abiotic stress and human activities reduce plant diversity in desert riparian forests

Zhang, Tianju; Chen, Yaning; Ali, Sikandar

doi:10.1016/j.ecolind.2023.110340

Cited by 12 publications

(4 citation statements)

References 60 publications

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“…Combining this distinction with the finding that only shrub forest ecosystems experienced an increase in natural ecosystems between 1990 and 2020, the significant improvement in the ES of the TRB is primarily attributed to the increase in shrub forests. Shrub forests play a pivotal role in the desert riparian ecosystems of the TRB, and their influence should not be underesti-mated when studying ecosystem patterns (Zhang et al, 2023b) [54]. At the landscape level, the rise in shrubberies signifies an increase in forestland, and this vegetation restoration has improved to some extent.…”

Section: Evaluation Of the Landscape Patterns In Desert Riparian Ecos...mentioning

confidence: 99%

Increased Humidity Improved Desert Riparian Ecosystems in the Tarim River Basin, Northwest China, from 1990 to 2020

Guo,

Zhu,

Tang

et al. 2023

Sustainability

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Land use and land cover change (LULCC), along with the conversion of natural ecosystem cover into farmland, poses significant ecological challenges for desert riparian ecosystems. The Tarim River Basin (TRB), home to the world’s largest and most densely distributed and well-preserved desert riparian ecosystem, remains exceptionally susceptible to climate change. However, our understanding of the role of climatic factors (mean annual temperature (MAT); mean temperature during the warmest month (MWMT); relative humidity in September, October, and November (RH_SON); and the annual heat–moisture index (AHM)) in driving pattern changes in these ecosystems remains limited. To address this gap, we employed a transfer matrix approach coupled with geographically weighted regression models to conduct an extensive analysis of LULCC trends and their driving factors within the TRB from 1990 to 2020. The 30-year dataset on LULCC provided invaluable insights, revealing that the proliferation of farmland and shrubberies has precipitated the decline of arbor forests and grassland expanses. Furthermore, this expansion of farmland and shrubberies has resulted in heightened ecosystem fragmentation, particularly notable between 2005 and 2010. Our assessment indicates that artificial ecosystems are gradually transitioning back into natural states, encompassing 8.24% of the total area, chiefly attributed to the expanding shrubbery regions. Additionally, in-depth scrutiny of the impacts of climatic factors on ecosystem structure unveiled that moisture exerts the most pronounced influence on ecosystem patterns, followed by air moisture content during the growing season, while temperature exerts a relatively lesser impact. Overall, this study contributes to the realization of SDG 13 (Climate Action) and SDG 15 (Life on Land) by informing conservation efforts and sustainable land management practices in dryland desert riparian ecosystems.

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Section: Evaluation Of the Landscape Patterns In Desert Riparian Ecos...mentioning

confidence: 99%

Increased Humidity Improved Desert Riparian Ecosystems in the Tarim River Basin, Northwest China, from 1990 to 2020

Guo,

Zhu,

Tang

et al. 2023

Sustainability

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“…Populus euphratica and Tamarix chinensis, the dominant species in desert vegetation, possess advantages such as drought resistance and wind/sand tolerance [3][4][5]. An ecosystem composed of Populus euphratica and Tamarix chinensis provides invaluable economic and ecosystem service value to arid regions [6][7][8]. These include windbreaks, sand fixation, water resource regulation, biodiversity conservation, pasture restoration, and carbon sequestration [9].…”

Section: Introductionmentioning

confidence: 99%

Plant Population Classification Based on PointCNN in the Daliyabuyi Oasis, China

Li,

Shi,

Peng

et al. 2023

Forests

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Populus euphratica and Tamarix chinensis hold significant importance in wind prevention, sand fixation, and biodiversity conservation. The precise extraction of these species can offer technical assistance for vegetation studies. This paper focuses on the Populus euphratica and Tamarix chinensis located within Daliyabuyi, utilizing PointCNN as the primary research method. After decorrelating and stretching the images, deep learning techniques were applied, successfully distinguishing between various vegetation types, thereby enhancing the precision of vegetation information extraction. On the validation dataset, the PointCNN model showcased a high degree of accuracy, with the respective regular accuracy rates for Populus euphratica and Tamarix chinensis being 92.106% and 91.936%. In comparison to two-dimensional deep learning models, the classification accuracy of the PointCNN model is superior. Additionally, this study extracted individual tree information for the Populus euphratica, such as tree height, crown width, crown area, and crown volume. A comparative analysis with the validation data attested to the accuracy of the extracted results. Furthermore, this research concluded that the batch size and block size in deep learning model training could influence classification outcomes. In summary, compared to 2D deep learning models, the point cloud deep learning approach of the PointCNN model exhibits higher accuracy and reliability in classifying and extracting information for poplars and tamarisks. These research findings offer valuable references and insights for remote sensing image processing and vegetation study domains.

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confidence: 99%

“…(Halada et al 2009;Polst et al 2022). One of the results of environmental changes is the loss of biodiversity, which is very important for maintaining the structure and function of ecosystems (Zhang et al 2023). Consequently, plant diversity remains one of the central topics in many studies (Bobbink et al 1998; Biurrun et al 2021; Hrivnák et al 2022; Speißer et al 2022).…”

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confidence: 99%

Plant Communities in Changing Environment

Vantarová,

Bartha,

Biurrun

et al. 2024

Biologia

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These changes pose significant challenges to the survival and functioning of plant communities, which are the foundation of terrestrial ecosystems. Human activities have mainly caused rapid and large-scale environmental changes in recent years (Speißer et al. 2022;Zhang et al. 2023). In fact, plant communities are not immune to ecological shifts and global change factors, e.g. abandonment of traditional management, eutrophication, warming, nitrification, pollution, etc. (Halada et al. 2009;Polst et al. 2022). One of the results of environmental changes is the loss of biodiversity, which is very important for maintaining the structure and function of ecosystems (Zhang et al. 2023). Consequently, plant diversity remains one of the central topics in many studies (Bobbink et al. 1998; Biurrun et al. 2021; Hrivnák et al. 2022; Speißer et al. 2022). Also, the diversity and distribution of plant functional traits (Díaz et al. 2009; Bruelheide et al. 2018) and life forms (Midolo et al. 2024) has a broad appeal in the research of plant communities. Climatic factors (including extreme events and seasonality), disturbance frequency and intensity, and disturbance history are suggested as key factors to be considered in global comparisons of vegetation responses to land use and in predictive models of ecosystem dynamics. Rural landscapes, especially in Central Europe, have undergone significant land-use changes since the 1950′s, including a prolonged period of abandonment (Hegedüšová and Senko 2011; Harásek et al. 2023; Janišová et al. 2023) and the Katarína Hegedüšová Vantarová

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Abiotic stress and human activities reduce plant diversity in desert riparian forests

Cited by 12 publications

References 60 publications

Increased Humidity Improved Desert Riparian Ecosystems in the Tarim River Basin, Northwest China, from 1990 to 2020

Increased Humidity Improved Desert Riparian Ecosystems in the Tarim River Basin, Northwest China, from 1990 to 2020

Plant Population Classification Based on PointCNN in the Daliyabuyi Oasis, China

Plant Communities in Changing Environment

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