Spatial patterns of plant diversity and communities in Alpine ecosystems of the Hengduan Mountains, northwest Yunnan, China

Sherman, Ruth E.; Mullen, Renée B.; Li, Haomin; Fang, Zhaosong; Wang, Yi

doi:10.1093/jpe/rtn012

Cited by 70 publications

(51 citation statements)

References 18 publications

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“…This is consistent with the orientation of Hengduan Mountain [56], which provides an ecological security barrier, and the Chinese government has accordingly taken measures to protect the environment. In recognition of the environmental importance of this region, we argue that, in future land-use policy formulation, the conservation of forests and the regions resource-rich ecosystems should take precedence over the single-minded, uncontrolled reclamation of this region for economic purposes.…”

Section: Discussionsupporting

confidence: 75%

Measuring the Coordinated Development of Ecological and Economic Systems in Hengduan Mountain Area

Chen

Wang

et al. 2017

Sustainability

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Abstract:With the expansion of the concept of sustainable development, it has become increasingly important to investigate the means for achieving sustainable eco-economic development. On the basis of Landsat imagery of Hengduan Mountain area of China acquired in 1990, 2000, and 2010, we analyzed the coordination relationships, evolution characteristics, and aggregation modes of the economy and ecology in this region using ecosystem service value (ESV) and ecological economic harmony (eco-economic harmony, EEH) models. The following results were obtained. (1) There was a significant transition in land cover, wherein grassland increased the most and farmland decreased the most, by 1.18 × 10 4 km 2 and 9.41 × 10 3 km 2 , respectively. These trends were related to urban expansion and the implementation of ecological measures; (2) From 1990 to 2000, there was a deterioration in the ecological system, whereas after 2000, the ecosystem improved due to implementation of the Chinese government's "Returning Farmland to Forest (Grassland)" scheme, thereby illustrating the importance of forest to ecosystem stability; (3) Spatially, the EEH index showed a dual-core structure centered on a low conflict zone and potential crisis zone, which signified that there was a trend of coordinated development between the economy and ecology; however, this was not stable; (4) There were four types of EEH evolution zones-low conflict, potential crisis, slight improvement, and significant improvement zones-of which the improvement zones accounted for 55.15% of the area, thereby indicating that over time the economy has played a positive role in shaping the ecological environment; (5) The spatial aggregation modes of EEH evolution were band coordinated mode, group uncoordinated mode and group improvement mode, which meant the relationship of ecology and economy was always in lowest coordinated state in a banded form, in uncoordinated state and a significant increase in a block form, respectively. These modes were intended to provide a reference for the sustainable development in southwest China.

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Section: Discussionsupporting

confidence: 75%

Measuring the Coordinated Development of Ecological and Economic Systems in Hengduan Mountain Area

Chen

Wang

et al. 2017

Sustainability

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“…Elevation was obtained from the Consultative Group on International Agricultural Research which produced a one kilometer surface from SRTM [53]. From elevation, we derived slope ("s") and aspect ("a") variables to create weighted aspect variables for Northness (N_w = sin(s) × cos(a)) and Eastness (E_w = sin(s) × sin(a)) [54]. Distance to ocean was generated from the Global Distance from the coast product [55] resampled from 0.01 degree to 1-km resolution (using Nearest Neighbor) to test the maritime effect in Oregon.…”

Section: Data and Processingmentioning

confidence: 99%

An Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature

et al. 2014

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Abstract:The monitoring and prediction of biodiversity and environmental changes is constrained by the availability of accurate and spatially contiguous climatic variables at fine temporal and spatial grains. In this study, we evaluate best practices for generating gridded, one-kilometer resolution, daily maximum air temperature surfaces in a regional context, the state of Oregon, USA. Covariates used in the interpolation include remote sensing derived elevation, aspect, canopy height, percent forest cover and MODIS Land Surface Temperature (LST). Because of missing values, we aggregated daily LST values as long term (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) monthly climatologies to leverage its spatial detail in the interpolation. We predicted temperature with three methods-Universal Kriging, Geographically Weighted 8640Regression (GWR) and Generalized Additive Models (GAM)-and assessed predictions using meteorological stations over 365 days in 2010. We find that GAM is least sensitive to overtraining (overfitting) and results in lowest errors in term of distance to closest training stations. Mean elevation, LST, and distance to ocean are flagged most frequently as significant covariates among all daily predictions. Results indicate that GAM with latitude, longitude and elevation is the top model but that LST has potential in providing additional fine-grained spatial structure related to land cover effects. The study also highlights the need for more rigorous methods and data to evaluate the spatial structure and fine grained accuracy of predicted surfaces.

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“…Besides the topography as such human disturbance factors are also a key factor influencing distribution of vegetation types [36][37][38][39]. Identifying the factors controlling the distribution, abundance and diversity of species at local scale is one of the central objectives in community ecology [40,41].…”

Section: Introductionmentioning

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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Spatial patterns of plant diversity and communities in Alpine ecosystems of the Hengduan Mountains, northwest Yunnan, China

Cited by 70 publications

References 18 publications

Measuring the Coordinated Development of Ecological and Economic Systems in Hengduan Mountain Area

Measuring the Coordinated Development of Ecological and Economic Systems in Hengduan Mountain Area

An Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature

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

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