Change in forest and vegetation cover influencing distribution and uses of plants in the Kailash Sacred Landscape, Nepal

Kunwar, Ripu M.; Evans, Aaron; Mainali, Janardan; Ansari, Abdul S.; Rimal, Bhagawat; Bussmann, Rainer W.

doi:10.1007/s10668-018-0254-4

Cited by 50 publications

(8 citation statements)

References 61 publications

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“…The large transfer out of forest land and the large transfer in of urban land are both detrimental to the mitigation of the heat island effect in the Hangzhou metropolitan area. At the same time, the large reduction in vegetation cover hurts soil and water conservation (Gu et al, 2013), soil fertility (Lukina et al, 2011), plant growth (Kunwar et al, 2020), biodiversity (Martin et al, 2021), and ecological balance (Fang et al, 2022), leading to a decrease in the quality of the ecological environment in the study area.…”

Section: Discussionmentioning

confidence: 99%

Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model

Shang,

Xu,

Liu

et al. 2023

SAGE Open

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In recent years, with economic development, urbanization has been accelerating. In the past 100 years, the global average temperature has increased by 0.5°C, and according to the predictions of most global climate models, the temperature will continue to increase by 1.5°C to 3.0°C in the next 100 years. Under the influence of global warming, the urban heat island effect problem is becoming more and more serious, bringing much harm. Studying the thermal effect and its influencing factors is of great significance for sustainable urban development. In this study, the seasonal and interannual surface temperature changes of the study area are inverted based on the SW-TES algorithm, and the LST inversion of the algorithm is simply verified. At the same time, a cell dichotomous model was established to explore the influencing factors of the urban heat island effect and the influence of different land use types and normalized vegetation indices in the Hangzhou metropolitan area was analyzed. The results showed that the overall heating trend of the study area showed a heating trend, the expansion rate of regional construction land was relatively fast, and the scale of urban land was increasing. Based on the results of surface temperature changes of areas with different land types, we obtained the temperature trends of each land type [from 2005 to 2018] and found that there was a negative correlation between surface temperature and normalized vegetation index. This study provides a theoretical basis to evaluate the urban heat island effect and analyze factors that impact it and would promote sustainable urban development.

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Section: Discussionmentioning

confidence: 99%

Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model

Shang,

Xu,

Liu

et al. 2023

SAGE Open

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“…The central and western parts of the Winike watershed have better habitat quality than the eastern part, which promoted biodiversity and environmental regulation in the watershed. However, the booming population, agricultural expansion, and urbanization posed threats to habitat quality [49], and led to a decline of habitat quality in the watershed. The sources of the threats are more severe in the eastern part of the watershed than in its western part.…”

Section: Discussionmentioning

confidence: 99%

“…The InVEST model of habitat quality provides easy access to data, significant analytical capabilities with fewer parameters, simple operation, and data processing [48]. It can replace sophisticated methods such as species surveys and it does not need species distribution data, which has been proven to be helpful for the management of the environment and land-use planning [49]. Habitat quality determined with the InVEST model has been successfully employed for the maintenance of biodiversity based on the relative reach and degradation of different habitat types [32].…”

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confidence: 99%

The InVEST Habitat Quality Model Associated with Land Use/Cover Changes: A Qualitative Case Study of the Winike Watershed in the Omo-Gibe Basin, Southwest Ethiopia

et al. 2020

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The contribution of biodiversity to the global economy, human survival, and welfare has been increasing significantly, but the anthropogenic pressure as a threat to the pristine habitat has followed. This study aims to identify habitat suitability, analyze the change in habitat quality from 1988 to 2018, and to investigate the correlation between impact factors and habitat quality. The InVEST habitat quality model was used to analyze the spatiotemporal change in habitat quality in individual land-use types in the Winike watershed. Remote sensing data were used to analyze the land use/land cover changes. Nine threat sources, their maximum distance of impact, mode of decay, and sensitivity to threats were also estimated for each land-use cover type. The analysis illustrates that habitat degradation in the watershed was continuously increasing over the last three decades (1988 to 2018). Each threat impact factor and habitat sensitivity have increased for the last 30 years. The most contributing factor of habitat degradation was the 25.41% agricultural expansion in 2018. Population density, land-use intensity, elevation, and slope were significantly correlated with the distribution of habitat quality. Habitat quality degradation in the watershed during the past three decades suggested that the conservation strategies applied in the watershed ecosystem were not effective. Therefore, this study helps decision makers, particularly regarding the lack of data on biodiversity. It further looks into the conflict between economic development and conservation of biodiversity.

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“…Although model evaluation has certain limitations and is highly dependent on expert knowledge in determining indicators, it has obvious advantages over the large amount of data collected based on the evaluation of indicator systems (Wu et al, 2021a;Wang and Cheng, 2022). Among them, the InVEST-habitat quality model is widely used, which is flexible in its application and can replace complex methods such as species surveys, not only considers ecological processes, but also has a complete habitat quality evaluation system, reduces the randomness in the selection of evaluation indicators, and can evaluate habitat quality quickly (Xu et al, 2019;Kunwar et al, 2020;Wu et al, 2021a).…”

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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Change in forest and vegetation cover influencing distribution and uses of plants in the Kailash Sacred Landscape, Nepal

Cited by 50 publications

References 61 publications

Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model

Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model

The InVEST Habitat Quality Model Associated with Land Use/Cover Changes: A Qualitative Case Study of the Winike Watershed in the Omo-Gibe Basin, Southwest Ethiopia

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

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