Dynamic characteristics and responses of ecosystem services under land use/land cover change scenarios in the Huangshui River Basin, China

Wang, Pengquan; Li, Runjie; Liu, Dejun; Wu, Yuanmei

doi:10.1016/j.ecolind.2022.109539

Cited by 30 publications

(14 citation statements)

References 51 publications

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Section: Discussionmentioning

confidence: 99%

“…Moreover, comparing the ecological network under the four future scenarios, we found that network connectivity would improve under the scenario of coordinated economic, social, and environmental development, which is consistent with previous studies. Based on the study of Wang et al (2022), ecological conservation scenarios can effectively protect landscape connectivity. Therefore, in future development, it is necessary to reduce the change in land use caused by human factors, so as to reduce the deterioration of ecological network connectivity caused by land use change.…”

Section: Effect Of Land Use On Regional Ecological Networkmentioning

confidence: 99%

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Effect of fencing on regional ecological networks in the northern Tibetan Plateau

et al. 2023

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Fencing is an essential measure for the rehabilitation and conservation of grasslands on the Qinghai-Tibet Plateau. However, its construction could change the distribution and migration of wildlife, thus affecting the integrity of the ecological networks for local wild animal movement. It is of great significance to quantify the potential impact of fencing on ecological network connectivity associated with land-use changes at regional scale. In this study, taking the northern Tibetan Plateau as the study area, we explored the ecological network change using circuit theory approach under different scenarios at county scale. Among them, this study set up four different scenarios according to the economic growth rate, population growth rate and the sustainable development of society and environment. The results showed that: 1) with increased grazing intensity and enhanced human activities from 1990 to 2015, the grasslands of the northern Tibetan Plateau were greatly degraded, most of which was converted into the barren land, and the conversion proportion was as high as 90.84%, which lead to a decreasing trend of the current density of ecological network in most counties and deterioration of ecological connectivity; 2) fencing construction has reduced regional current density, while fencing intensity is positively correlated with current density loss at county scale. Among them, the counties with serious current density loss were distributed in the northwest and southeast regions. The maximum loss ratio is 39.23%; 3) under four different future land use scenarios, coordinated economic, social and environmental development will have a positive effect on the ecological network. The results of the study have important ecological significance for developing reasonable conservation measures for grassland restoration, protecting wildlife, and maintaining regional ecological balance.

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Section: Discussionmentioning

confidence: 99%

Section: Effect Of Land Use On Regional Ecological Networkmentioning

confidence: 99%

Effect of fencing on regional ecological networks in the northern Tibetan Plateau

et al. 2023

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“…The HNWP has high altitude and intense solar radiation. However, there is a substantial temperature difference between day and night, temperatures are low in winter, and the soil type is mainly chestnut calcium soil with strong alkalinity [ 23 ]. Wang et al found that soil organic carbon content and soil acidity and alkalinity affect Cr concentration in soil and its associated toxicity [ 15 ].…”

Section: Discussionmentioning

confidence: 99%

“…The Huangshui National Wetland Park (abbreviated as HNWP, the same below) is located in the Qinghai–Tibet Plateau, known as the “World’s Third Pole” and “Asia’s Water Tower” [ 22 , 23 ]. HNWP is a typical plateau urban wetland in northwest China, is the “City Kidney” of Xining, and plays a critical role in protecting the ecological balance of highland cities and conserving urban water [ 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Non–Negligible Ecological Risks of Urban Wetlands Caused by Cd and Hg on the Qinghai–Tibet Plateau, China

Wang

Mao

Song³

et al. 2023

Toxics

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The Huangshui National Wetland Park (HNWP) is a unique national wetland park in a city on the Qinghai-Tibetan Plateau, containing three zones: Haihu, Beichuan, and Ninghu. In this study, a total of 54 soil samples (18 sampling points with depths of 0–10 cm, 10–20 cm, and 20–30 cm) were collected in these three zones, and the contents of heavy metals (Cr, Cd, Cu, Hg, Ni, Pb, Zn, and As) of each sample were determined. The ecological risk of eight kinds of heavy metals was evaluated by using the geo–accumulation index (Igeo), and the ecological risk–controlling effect of the Xining urban wetlands on heavy metals was explored by comparative analysis, and the possible sources of heavy metals in the soil were analyzed via correlation analysis and principal component analysis (PCA). The results revealed that the total heavy metal concentration order was Haihu > Beichuan > Ninghu zone. As and Cu presented vertical accumulation characteristics in the surface and lower horizon, respectively. Cr, Cd, Hg, Ni, Pb, and Zn accumulated downwards along the depth. On the spatial scale, the enrichments of Cd and Hg brought non-negligible ecological risks in plateau urban wetlands. The results of PCA indicated that soil heavy metals mainly came from compound sources of domestic and atmospheric influences, traffic pollution sources, and industrial pollution sources. The study has revealed that human activities have inevitable negative impacts on wetland ecosystems, while the HNWP provides a significant weakening effect on heavy metal pollution.

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“…Por otro lado, sorprende la baja importancia asignada a la variable introducida de la transición de las coberturas (Figura 3), ya que teóricamente esta es una de las variables que más incidencia tienen en el fenómeno de la erosión del suelo (Duan et al, 2023;Wang et al, 2022). Asimismo, la temperatura que se esperaba tuviese una menor relación con la explicación del fenómeno, presentó una importancia incluso mayor que las variables empleadas en el método del IVR.…”

Section: Análisis De Características Con Random Forestunclassified

Predicción de la erosión del suelo mediante random forest: caso de estudio cuenca río grande, Antioquia

Arango Carvajal

2023

rev.investig.agrar.ambient.

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Contextualización: actualmente, el conocimiento de fenómenos naturales asociados a la preservación de los sistemas es de interés tanto para investigadores de las ciencias naturales, como para las autoridades ambientales encargadas de la toma de decisiones sobre el manejo de los recursos. En ese sentido, se ha venido trabajando en la interpretación y predicción de diferentes fenómenos físicos como la erosión, a fin de crear escenarios que permitan fortalecer los criterios de respuesta frente a la conservación del capital natural del suelo. Vacío de conocimiento: la capacidad de predecir el fenómeno de la erosión es limitada en muchas ocasiones, debido a la cantidad y variabilidad de los parámetros y variables que son relacionados a la erosión. Además, en muchos casos se requiere de un alto procesamiento computacional para lograr que se asocien entre sí. Propósito: se busca implementar un modelo de machine learning como herramienta alternativa para la modelación y predicción de la erosión. Metodología: en este estudio, se desarrolla una modelación a partir del entrenamiento del método no paramétrico Random Forest, mediante el aprendizaje supervisado, para predecir la ocurrencia de la erosión en la cuenca de Río Grande, considerando las variables que previamente han sido empleadas en otros métodos para modelar este fenómeno. Resultados y conclusiones: los resultados mostraron una capacidad para predecir la erosión en la cuenca con una precisión aproximada del 77%, por lo que este método puede ser aplicado para obtener predicciones rápidas y confiables. Además, se encontró que las variables empleadas en el modelo RUSLE explican mayoritariamente la ocurrencia, o no, de la erosión. Finalmente, se resalta la importancia de la variable “temperatura” introducida en el modelo.

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Dynamic characteristics and responses of ecosystem services under land use/land cover change scenarios in the Huangshui River Basin, China

Cited by 30 publications

References 51 publications

Effect of fencing on regional ecological networks in the northern Tibetan Plateau

Effect of fencing on regional ecological networks in the northern Tibetan Plateau

Non–Negligible Ecological Risks of Urban Wetlands Caused by Cd and Hg on the Qinghai–Tibet Plateau, China

Predicción de la erosión del suelo mediante random forest: caso de estudio cuenca río grande, Antioquia

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