The relationships between vegetation type and topography in Lassen Volcanic National Park

PinderIII, J. E.; Kroh, Glenn C.; White, Joseph D.; May, A. Michele Basham

doi:10.1023/a:1009792123571

Cited by 52 publications

(27 citation statements)

References 11 publications

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“…In addition, as shown by our study (Tables 3, 5 and 6), some topographic characteristics (e.g., TW and ASP), which in fact affect local microenvironments, also affected vegetation composition. Much research was in agreement with our results (Pinder et al, 1997;Canton et al, 2004;Pueyo et al, 2007). Therefore, we should also make full use of microtopography to select potential sites for seeding.…”

Section: Discussionsupporting

confidence: 87%

“…Most research was concerned on the relationships between any two components, but few comprehensively on the relationships between vegetation and soil and topography. For example, Maestre et al (2003) and Lu et al (2006) considered the relationship between vegetation and soil, and Pinder et al (1997) and Canton et al (2004) considered vegetation and topography. Even if some research considered vegetation and soil and topography (Solon et al, 2007;Pueyo et al, 2007), they only aimed to find the factors impacting vegetation but not directly for ecosystem restoration practices.…”

Section: Discussionmentioning

confidence: 99%

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Relationships between vegetation and soil and topography in a dry warm river valley, SW China

et al. 2008

CATENA

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Understanding of the relationships between vegetation and soil and topography would be very important for ecosystem restoration and management efforts in the dry valleys of Himalayan region but how to clarify the complicated relationships and figure out key factors for practical purpose is a challenge. The main objective of this research was to propose a four-staged procedure by combining several multivariate statistical techniques to detect the relationships between vegetation and soil and topography, and thereby identify the key factors for the degraded ecosystem restoration and management. Forty-three plots (5 m × 5 m) were selected for the field survey of the vegetation, soil and topography variables in the dry warm river valley of the upper Minjiang River, Sichuan Province, China. Cluster analysis (CA) demonstrated that high plant diversity, cover and height were associated with good soil quality and favorable topographic positions with lower solar incident radiation, runoff and soil erosion potential. Correlation analysis (simple correlation analysis and canonical correlation analysis) and multiple linear stepwise regression analysis affirmed that plant diversity was mainly correlated with soil water content, and soil water content was mainly determined by soil texture (clay content). Soil clay content alone could explain about 70% of the total variance. Identifying the favorable topographic position and the distribution pattern of soil texture and its controlling mechanisms is thus very important for restoration practices. In the process of ecosystem restoration, we should promote the co-evolution of vegetation and soil, and follow the natural succession sequence. Some relevant conservation polices are also needed to reduce human disturbance on ecosystem.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Relationships between vegetation and soil and topography in a dry warm river valley, SW China

et al. 2008

CATENA

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“…No erosion index could be computed as the rainfall data was not available. Details of the computed attributes are listed in Table 4 [59][60][61][62][63][64][65]. Table 3 lists the dominant vegetation classes and dominant species in the southern study area.…”

Section: Dem Topographic Maps and Derived Attributesmentioning

confidence: 99%

Integration of Satellite Imagery, Topography and Human Disturbance Factors Based on Canonical Correspondence Analysis Ordination for Mountain Vegetation Mapping: A Case Study in Yunnan, China

Zhang

Coillie

et al. 2014

Remote Sensing

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Abstract:The integration between vegetation data, human disturbance factors, and geo-spatial data (Digital Elevation Model (DEM) and image data) is a particular challenge for vegetation mapping in mountainous areas. The present study aimed to incorporate the relationships between species distribution (or vegetation spatial distribution pattern) and topography and human disturbance factors with remote sensing data, to improve the accuracy of mountain vegetation maps. Two different mountainous areas located in Lancang (Mekong) watershed served as study sites. An Artificial Neural Network (ANN) architecture classification was used as image classification protocol. In addition, canonical correspondence analysis (CCA) ordination was applied to address the relationships between topography and human disturbance factors with the spatial distribution of vegetation patterns. We used ordinary kriging at unobserved locations to predict the CCA scores. The CCA ordination results showed that the vegetation spatial distribution patterns are strongly affected by topography and human disturbance factors. The overall accuracy of vegetation classification was significantly improved by incorporating DEM or four CCA axes as additional channels in both the northern and southern study areas. However, there was no significant difference between using DEM or four CCA axes as extra channels in OPEN ACCESSRemote Sens. 2014, 6 1027 the northern steep mountainous areas because of a strong redundancy between CCA axes and DEM data. In the southern lower mountainous areas, the accuracy was significantly higher using four CCA axes as extra bands, compared to using DEM as an extra band. In the southern study area, the variance of vegetation data explained by human disturbance factors was larger than the variance explained by topographic attributes.

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“…It would not only reduce land productivity, but also degrade ecosystems and deteriorate environments (Fu et al 2000. However, the impact intensity of anthropogenic activity is still restricted to a certain extent by environmental factors, especially in mountainous areas (Pinder Ш et al 1997). Environmental variability, particularly topographic features (e.g., elevation, slope steepness and slope aspect) and their influences on soil water distribution (Canton et al 2004) greatly impact the spatial patterns of land cover.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of land cover and vegetation activity along topographic gradient in an arid river valley, SW China

Wen

Luo

et al. 2009

J. Mt. Sci.

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Anthropogenic activities have become more and more important in characterizing the landscape, but their impacts are still restricted by natural environments. This paper discusses the interactions of anthropogenic activity, vegetation activity and topography through describing the spatial distribution of land cover and vegetation activity (represented by Normalized Difference Vegetation Index, NDVI) along topographic gradient in a mountainous area of southwestern China. Our results indicate that the existing landscape pattern is controlled by anthropogenic activities as well as topographic factors. Intensive anthropogenic activities mainly occur in areas with relatively low elevation, gentle and concave slopes, as these areas are easy and convenient to attain for human. Because of the destruction by human, some land cover types (mainly grassland and shrub) are only found in relatively harsher environments. This study also finds that topographic wetness index (W) used in other places only reflects runoff generation capacity, but not indicate the real spatial pattern of soil water content in this area. The relationships between NDVI and W, and NDVI and length slope factor (LSF) show that runoff and erosion have complex effects on vegetation activity. Greater values of W and LSF will lead to stronger capacity to produce runoff and transport sediment, and thereby increase soil water content and soil deposition, whereas beyond a certain threshold runoff and erosion are so strong that they would destruct vegetation growth. This study provides information needed to successfully restore native vegetation, improve land management, and promote sustainable development in mountainous areas, especially for developing regions.

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The relationships between vegetation type and topography in Lassen Volcanic National Park

Cited by 52 publications

References 11 publications

Relationships between vegetation and soil and topography in a dry warm river valley, SW China

Relationships between vegetation and soil and topography in a dry warm river valley, SW China

Integration of Satellite Imagery, Topography and Human Disturbance Factors Based on Canonical Correspondence Analysis Ordination for Mountain Vegetation Mapping: A Case Study in Yunnan, China

Spatial distribution of land cover and vegetation activity along topographic gradient in an arid river valley, SW China

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