Responses of Habitat Quality and Animal Biodiversity to Grazing Activities on the Qinghai-Tibet Plateau

Liu, Yixuan; Liu, Shiliang; Wang, Fangfang; Sun, Yixuan; Li, Mingqi; Wang, Qingbo; Li, Yu

doi:10.3389/fevo.2021.681775

Cited by 14 publications

(8 citation statements)

References 75 publications

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“…Different topographies, hydrological conditions, and soil environments affect the spatial distribution and growth status of vegetation, resulting in differences in ecosystem service and HQ [16,20]. Urban expansion, agricultural production, unreasonable mining, and overgraze activities can cause habitat degradation and fragmentation and reduce biodiversity [6,[21][22][23]. In addition, changes in land-use structure will change the landscape components of regional ecosystems, thereby affecting the material exchange and energy flow among different ecosystems and changing HQ [24,25].…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Changes of Habitat Quality and Their Potential Driving Factors in Southwest China

Bao

et al. 2023

Land

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Climate change and human activities have considerably changed the spatial patterns and functional elements of regional habitats. Understanding spatiotemporal changes in habitat quality (HQ) and their potential driving factors is essential for maintaining ecosystem health and protecting biodiversity. To explore the effect of physical and human factors on HQ changes in Southwest China, we firstly analyzed the land-use change intensity (LCI). We then evaluated spatiotemporal changes in HQ based on the InVEST model and explored the spatial heterogeneity of the main driving factors of HQ changes based on a geographical detector and a geographical weighted regression model. The results showed that LCI had obvious spatiotemporal differences, and LCI from low-quality habitat to high-quality habitat (LCI1) was significantly higher than that from high-quality habitat to low-quality habitat (LCI2). The HQ improved steadily in Southwest China in 1990–2015, showing a trend of low–high–low from southeast to northwest. Moreover, there were twelve factors, including aboveground biomass, ecological land area ratio, population density, slope, etc., which had a significant impact on the spatial differences in HQ, and the effects of different factors on HQ had observable spatial heterogeneity. The effect of LCI2 on the spatial difference of HQ was greater than that of LCI1. These results suggested that the current ecosystem protection and management policy had a positive effect on improving HQ. Our study provides an important decision-making reference for sustainable land development and utilization and regional ecological protection and restoration.

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Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Changes of Habitat Quality and Their Potential Driving Factors in Southwest China

Bao

et al. 2023

Land

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“…Habitat transformation is the main direct driver of biodiversity loss and the habitat loss and degradation impacts are the most direct threat to biodiversity (Banks-Leite et al, 2020). Habitat quality is an effective indicator of regional ecological security, which reflects the level of regional biodiversity and ecosystem services (Liu et al, 2021a), the higher the habitat quality, the higher the biodiversity of the ecosystem (Yan et al, 2018). Therefore, habitat quality assessment is a very effective method for understanding the regional biodiversity and the health level of regional ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Evolution of habitat quality and analysis of influencing factors in the Yellow River Delta Wetland from 1986 to 2020

et al. 2022

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The assessment of habitat quality plays an important role in the effective conservation of wetland biodiversity. The Yellow River Delta Wetland is located in the intertwining zone of sea, terrestrial, and river ecosystems, increasing human activities and climate change posed a great threat to wetland biodiversity. This study first analyzed the spatial and temporal evolution characteristics of habitat quality in the Yellow River Delta Wetland under the evolution of the shoreline after runoff-sediment variability (1986–2020) using the InVEST-habitat quality model and then identified the dominant influence factors on habitat quality based on Geographical Detector. Finally, elasticity index was introduced to analyze the impacts of different reclamation activities on habitat quality. Results showed that the habitat quality decreased from 0.4798 in 1986 to 0.4078 in 2020, with high values of habitat quality concentrated in mudflat wetlands and low values of habitat quality concentrated in construction land and salt pans. The results of the Geographical Detector analysis showed that the influence of human activities, especially reclamation activities, had stronger effects on habitat quality than climatic factors. The elasticity index analysis showed that the elasticity of all three types of reclamation activities, namely, culture ponds, construction land, and salt pans, were negative from 1986 to 2005, 2005 to 2020, and 1986 to 2020. The reclamation activities had a negative impact on habitat quality. The habitat quality of the Yellow River Delta Wetland was most sensitive to the change in reclamation intensity of construction land from 1986 to 2020, and the sensitivity of the change of habitat quality to the change of reclamation intensity of culture ponds and salt pans was strengthening. This study explicitly revealed the effect of climate change and human activities on the habitat quality of the Yellow River Delta Wetland and proposed to analyze the response intensity of habitat quality to different reclamation activities by using the elasticity index, thus providing a scientific basis for mitigating the tradeoff between biodiversity conservation and rapid social development in the Yellow River Delta Wetland in the future.

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“…The sensitivity of a habitat type to threats is based on the general principles of biodiversity conservation in landscape ecology (Bai et al, 2019;Liu et al, 2021;Wang & Cheng, 2022). They stated that the natural environment is the most sensitive to external threat factors, followed by semi-arti cial environment, and the arti cial environment is basically unaffected.…”

Section: Data Sourcesmentioning

confidence: 99%

Effectiveness of Heilongjiang Nanwenghe Nature Reserve in Improving Habitat Quality in and around the Reserve

Liang

Fakheran

et al. 2023

Preprint

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Biodiversity loss is a critical challenge globally, and protected areas (PAs) has been established as an important policy tool for conservation. However, doubts exist regarding their effectiveness, and their policy effects and spatial spillover effects on surrounding areas are poorly understood. To address this, this study evaluated the effectiveness of Heilongjiang Nanwenghe National Nature Reserve (HNNNR) in China by using a combination of the InVEST model and the improved SDID model. The study covers a time span of approximately 31 years (1990–2020) and is divided into two periods (1990–1999 and 1999–2020), which allows for the assessment of the effects of nature reserves in the region. Our results showed that: (1) The establishment of HNNNR has improved the habitat quality in the reserve and Non-reserve area, with a greater impact on habitat quality in non-reserve areas than in the reserve; (2) The core zone within HNNNR showed the most significant improvement in habitat quality, while the buffer zone showed the least improvement; (3) The improvement of habitat quality in non-reserve area was mainly contributed by the policy spatial spillover effects, where the buffer zone has the strongest spillover benefits to the non-reserve, but the core zone has the weakest spillover effects to the non-reserve. Our results show the beneficial impact of a nature reserve for improving habitat quality in and around the reserve. This study provides a quantitative paradigm for assessing the conservation effectiveness of PAs across temporal and spatial scales.

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Responses of Habitat Quality and Animal Biodiversity to Grazing Activities on the Qinghai-Tibet Plateau

Cited by 14 publications

References 75 publications

Temporal and Spatial Changes of Habitat Quality and Their Potential Driving Factors in Southwest China

Temporal and Spatial Changes of Habitat Quality and Their Potential Driving Factors in Southwest China

Evolution of habitat quality and analysis of influencing factors in the Yellow River Delta Wetland from 1986 to 2020

Effectiveness of Heilongjiang Nanwenghe Nature Reserve in Improving Habitat Quality in and around the Reserve

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