The effects of land use structure and landscape pattern change on ecosystem service values

Hang, 王航 Wang; Fen, 秦奋 Qin; Jun, 朱筠 Zhu; Chuancai, 张传才 Zhang

doi:10.5846/stxb201606291295

Cited by 9 publications

(9 citation statements)

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“…Therefore, considering that the research period spanned 15 years, to avoid the impact of inflation, based on the concept of comparable prices in economics, the consumer price index (CPI) was used to map the ESV of each period to the same price level to increase the comparability of the results. The formula for calculation is as follows [ 47 ]:

where

is the ecosystem service coefficient of the ESV in the Funiu Mountain area;

is the fixed base CPI index; and

is the current CPI index. In this way, our research can adjust the ESV in 2000, 2005, and 2010 to the price level in 2015, thus eliminating the interference of price fluctuations in value changes.…”

Section: Methodsmentioning

confidence: 99%

Section: Esv Valuation Ofmentioning

confidence: 99%

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Factors of the Ecosystem Service Value in Water Conservation Areas Considering the Natural Environment and Human Activities: A Case Study of Funiu Mountain, China

Guo

Gao

Zhou

et al. 2021

IJERPH

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Water conservation areas play an important role in regional ecological security patterns. The Funiu Mountain water conservation area is located in the densely populated central region of China, where human disturbance to the ecosystem is strong and ecosystem services are facing a very serious situation. Identifying and evaluating the factors leading to changes in the ecosystem service value (ESV) of the Funiu Mountain water conservation area can provide scientific guidance for ecological management and sustainable development. Using multi-source data and machine learning methods, our research reveals the characteristics of the spatio-temporal variation in the ESV, constructs a system of ESV influencing factors from the comprehensive perspectives of the natural environment and human activities, and discusses the comprehensive effects of the influencing factors on the Funiu Mountain area from 2000 to 2015. The results are as follows. (1) From 2000 to 2005, the ESV increased 375 million yuan, and from 2005 to 2015, it decreased 154 million yuan. (2) Hydrological regulation, biodiversity maintenance, soil conservation, gas regulation, and climate regulation were the main types of ecosystem services in the Funiu Mountain area. (3) The ESV was influenced by the comprehensive effects of the natural environment and human activities. Population was the most important influencing factor of the ESV; in addition, the normalized difference vegetation index (NDVI), precipitation, and economic factors had important influences on the ESV. (4) With the intensification of human activities, humanistic factors have surpassed the relatively stable natural factors, becoming the main factors of the ESV. With economic development, the effect of human activities on the ESV may be further intensified in the future.

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where

is the ecosystem service coefficient of the ESV in the Funiu Mountain area;

is the fixed base CPI index; and

Section: Methodsmentioning

confidence: 99%

Section: Esv Valuation Ofmentioning

confidence: 99%

Factors of the Ecosystem Service Value in Water Conservation Areas Considering the Natural Environment and Human Activities: A Case Study of Funiu Mountain, China

Guo

Gao

Zhou

et al. 2021

IJERPH

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show abstract

“…In fact, these studies assumed that if the local area of the same land use type in a region remains constant over many years, the interannual variation in its own ecosystem service value would be small or even zero, ignoring the natural disturbances caused by price increases and changes in the value of ecosystem services over time, which affect the accuracy of ecosystem service value calculations [18,34]. Therefore, drawing on the revised methodology of relevant studies on ecosystem service value, we use the CPI index to eliminate the impact of price increases on the ecosystem service value within the study time series [35,36]. A standard equivalent factor of ecosystem service value is calculated according to Formula (2) for Xining within the corresponding year:…”

Section: The Revised Equivalent Factor Methodsmentioning

confidence: 99%

“…The value equivalents of forests, grasslands, watersheds, unused lands, and farmlands correspond to those of forests, grasslands, water extent, deserts, and farmlands, respectively, in the table of ecological service equivalents per unit area of terrestrial ecosystem of Xie Gaodi's [10]. Many studies have determined the value equivalent of a developed area and its urban developed area, rural developed area, and other developed areas to be zero, excluding it from the scope of accounting for the ecosystem service value [17,18,36]. However, since the concept of ecosystem service value was first presented, it has been richly embraced by the field, encompassing types of ecological services such as provisioning services, regulating services, supporting services, and cultural services.…”

Section: The Revised Equivalent Factor Methodsmentioning

confidence: 99%

Spatiotemporal Variation in Land Use and Ecosystem Services during the Urbanization of Xining City

Wei

宮田

Wang

2023

Land

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Based on the five phases of land use data from Xining corresponding to 1980, 1990, 2000, 2010, and 2020, we used the equivalent factor method to analyze the values of spatial-temporal variation characteristics of land use and ecosystem services in Xining. The results showed that (1) farmland and developed areas were the most active types of land, and the continuous occupation of farmland and developed areas led to the formation of a kind of “cross shape” in the spatial pattern of conversion of land use types along the Huangshui River, Beichuan River, and Nanchuan River from south to north and from northwest to southeast, respectively, with the central urban area serving as a core of the pattern; (2) the transformation between different land use types mainly occurred in the land-slope range between 0–15° and altitudes between 2000–2750 m; and (3) the ESV of Xining increased by RMB 2165.26 × 106 in the past 40 years. The period from 2000 to 2020 was the main growth period of the ecosystem service value of Xining. Urbanization had a great impact on the variation in land use types and the evolution of ecosystem service values. In the middle and late stages of urbanization, different types of land use changed significantly within each county and district. The ecosystem service values of the central districts were low, with those of the marginal districts and counties being higher, forming a “core-periphery” trend and a phenomenon of hollowing ESV. (4) The spatial agglomeration effect of the ESV per unit area was continuously enhanced in Xining. The high-high (slope-altitude) type of area was distributed in the north and west of Xining, whereas the low-low type of area was distributed in the urban area at the intersection of major rivers in the southeast of Xining.

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“…Regional ecological environment assessment is an important basis for formulating regional economic and social sustainable development plans and ecological environment protection strategies. There are many ways to measure the ecological environment quantitatively currently such as proxy indicators vegetation cover change [3] , heat island effect [4] , landscape pattern index [5] , ecological service value [6] , Normalized difference vegetation Index [7] , the EI model [8] , the Eco-environment Quality Index model (EQI) proposed by Li Xiaowen [9] , the RSEI model proposed by Xu Hanqiu [10] , the improved RSEI model proposed by Li Ning [11] . RSEI has been the most popular model due to its easy access to data and objectivity of results.…”

Section: Introductionmentioning

confidence: 99%

The spatial differentiation and impact factor of eco-environment in Huai River Basin based on the improved RSEI model

Li,

Wang,

Guo

2023

International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023)

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The deterioration of natural ecological environment of Huai River Basin has been one of the most important factors of restricting the sustainable development of local social economy. However previous researches focused on the ecological environment are subjective and inaccuracy. RSEI is a newly developed aggregated index to fast detect ecological conditions solely using remote sensing data. However, it is unstable and its results are not unique, so it cannot be calculated in batches. As a result, the model can only use a single image to measure the comprehensive ecological environment index, and the results are accidental. This paper uses the improved RSEI model based on the full-time remote sensing big data and cloud computing technology to calculate the eco-environment quality and its changes of Huai River Basin. It is more objective and true to express the regional ecological environment status by using the average of the image measurement results of all phases of a year. Then this paper uses hot spot analysis, and geographic detector to analyze the temporal and spatial evolution characteristics and the influence factors of the eco-environment quality of Huai River Basin from 1990 to 2019. The results are as follows: (1) the ecological environment quality of Huai River Basin deteriorated gradually, and the ecological environment deteriorated most dramatically in 2015-2019, (2)the changes of the ecological environment index have obvious accumulation from 1990 to 2019 and the accumulation areas of cold and hot spots are decreasing gradually, (3) the interaction between human activities intensity, the diversity of land use, and the degree of topographic undulation have greater impact on the ecological environment than other factors. The number of factors who have a significant impact on the ecological environment is increasing gradually, and the ways these factors act are becoming more and more complex.

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The effects of land use structure and landscape pattern change on ecosystem service values

Cited by 9 publications

References 0 publications

Factors of the Ecosystem Service Value in Water Conservation Areas Considering the Natural Environment and Human Activities: A Case Study of Funiu Mountain, China

Factors of the Ecosystem Service Value in Water Conservation Areas Considering the Natural Environment and Human Activities: A Case Study of Funiu Mountain, China

Spatiotemporal Variation in Land Use and Ecosystem Services during the Urbanization of Xining City

The spatial differentiation and impact factor of eco-environment in Huai River Basin based on the improved RSEI model

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