Natural Ecological Background of Terrestrial Vegetation in China: Identification Methods and Spatial Differentiation Characteristics

Chen, Yan; Zhai, Jun; Hou, Junbo; Min, Yang; Jin, Dongping; Zhu, Hanshou; Gao, Haifeng; Wan, Huawei; Fu, Zhuo

doi:10.18494/sam.2021.3664

Cited by 2 publications

(3 citation statements)

References 22 publications

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“…Nevertheless, these methods also have some limitations [31]. To compensate for the lack of spatial dimension information, some researchers compared the differences in ecological changes inside and outside the nature reserve from the ecosystem scale to evaluate the effectiveness of the nature reserve [26,[32][33][34][35][36][37], or by extending a certain buffer zone in the nature reserve to compare and analyze the differences inside and outside the nature reserve [15]. This paper comprehensively analyzes the changes in the ecosystem type, vegetation ecological quality and ecosystem services.…”

Section: Introductionmentioning

confidence: 99%

“…In other words, multiple sub-regions with control policies of different degrees of strictness are constructed in a geographical region. The new system can generate different impacts on ecosystem protection and restoration, which has attracted the attention of relevant scholars [36,[38][39][40]. Therefore, it is of positive significance for improving regional ecological protection policies and enriching the evaluation methods regarding ecological protection effectiveness to explore the changes in ecosystems and the differences in protection effectiveness at different management and control levels.…”

Section: Introductionmentioning

confidence: 99%

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Gradient Analysis of Spatial-Temporal Change and Conservation Effectiveness in Different Ecological Protected Areas

Hou,

Zhu,

Zhai

et al. 2024

Diversity

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The protection of ecological systems is currently a trending topic. Numerous countries have implemented various measures to safeguard ecosystems. Evaluating the effectiveness of regional ecological protection and cooperative conservation is of paramount importance. In this paper, Hainan Island, China, was taken as an example to construct an evaluation framework of the ecosystem change characteristics and conservation effects of different types of protected areas. In this way, the study evaluated the ecological status of important protected areas and the effects of collaborative management and control, and it discussed the changes in ecological status and protection effects. The results revealed the following. (1) Important protected areas occupy a large proportion of natural ecological space, reaching 76.33%, more than twice the proportion of ecological space on Hainan Island. In the past 20 years, the ecological space retention rate has increased by 0.57%. (2) The contribution of excellent-quality and good-quality ecosystems is the greatest, accounting for 82.65% of the whole island. In the past 20 years, the ec7osystem quality has improved in more than 80% of the areas. The proportion of excellent-quality and good-quality ecosystems is as high as 96.75% in these conservation areas, and their contribution to Hainan Island is 44.29%, while conservation areas only account for about 38%. (3) The ecosystem services of Hainan Island have improved and become stable in the past 20 years. The contribution of all types of protected areas to the ecosystem services of Hainan Island is more than 53.22%. In general, the ecological quality and service function has increased in Hainan Island, and the ecological space tends to be stable. Different types of protected areas have effectively protected various ecosystems on Hainan Island with different protection and management mechanisms.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Gradient Analysis of Spatial-Temporal Change and Conservation Effectiveness in Different Ecological Protected Areas

Hou,

Zhu,

Zhai

et al. 2024

Diversity

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“…Moreover, the study showed forests and grasslands with different vegetation functions had high spatial heterogeneity in the four vegetation parameters of gross primary productivity (GPP), net primary productivity (NPP), LAI, and vegetation cover (FVC). This was manifested by different rates of vegetation recovery, vegetation productivity, and ecosystem stability [43]. Mainly influenced by climatic drivers, the differences in urban forest functions are also reflected in many aspects such as green density, green intensity, and biodiversity [44].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective

Yan

et al. 2023

Remote Sensing

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Leaf Area Index (LAI) is one of the most important biophysical parameters of vegetation, and its dynamic changes can be used as a reflective indicator and differentiation basis of vegetation function. In this study, a VCA–MLC (Vertex Component Analysis–Maximum Likelihood Classification) algorithm is proposed from the perspective of multi-temporal satellite LAI image classification to monitor and quantify the spatial and temporal variability of vegetation dynamics in China since 2000. The algorithm extracts the vegetation endmembers from 46 multi-temporal images of MODIS LAI in 2011 without the aid of other a priori knowledge and uses the maximum likelihood classification method to select the categories that satisfy the requirements of the number of missing periods, absolute distance, and relative distance for the rest pixels to be classified, ultimately dividing the vegetation area of China into 10 vegetation zones called China Vegetation Functional Zones (CVFZ). CVFZ outperforms MCD12Q1 and CLCD land cover datasets in the overall differentiation of vegetation functions and can be used synergistically with other land cover datasets. In this study, CVFZ is used to cut the constant vegetation-type pixels of MCD12Q1 during 2001–2022. The results of the LAI mean time series decomposition of each subregion using the STL (Seasonal-Trend Decomposition based on Loess) method show that the rate of vegetation greening ranges from 9.02 × 10−4 m2m−2yr−1 in shrubland subregions to 2.34 × 10−2 m2m−2yr−1 in savanna subregions. In relative terms, the average greening speed of forests is moderate, and savannas tend to have the fastest average greening speed. The greening speed of grasslands and croplands in different zones varies widely. In contrast, the average greening speed of shrublands is the slowest. In addition, CVFZ detected grasslands with one or two phenological cycles, broadleaf croplands with one or two phenological cycles, and shrublands with no apparent or one phenological cycle.

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Natural Ecological Background of Terrestrial Vegetation in China: Identification Methods and Spatial Differentiation Characteristics

Cited by 2 publications

References 22 publications

Gradient Analysis of Spatial-Temporal Change and Conservation Effectiveness in Different Ecological Protected Areas

Gradient Analysis of Spatial-Temporal Change and Conservation Effectiveness in Different Ecological Protected Areas

Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective

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