2019
DOI: 10.3390/su11102817
|View full text |Cite
|
Sign up to set email alerts
|

Research on Land Use Changes and Ecological Risk Assessment in Yongjiang River Basin in Zhejiang Province, China

Abstract: Studying land use changes and ecological risk assessment in Yongjiang River Basin in Zhejiang Province, China, provides theoretical references for optimal configuration of land resources and maintaining stability of ecosystems. Given impacts of land use changes on landscape patterns in the Yongjiang River Basin, ecological risk assessment indexes were constructed and used to analyze temporal and spatial variation characteristics of ecological risk within different periods. Results show that (1) the constructio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
32
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 51 publications
(41 citation statements)
references
References 48 publications
(75 reference statements)
0
32
1
Order By: Relevance
“…Referring to previous relevant studies [32,40], combining the actual situation of the study area and the range of ERI in each sampling plot, ecological risk is divided into 5 grades by the natural break point method using ArcGIS 10.2: 0.013 < low ERI ≤ 0.016, 0.016 < relatively low ERI ≤ 0.019, 0.019 < medium ERI ≤ 0.023, 0.023 < relatively high ERI ≤ 0.030, and high ERI > 0.030 ( Figure 4). The spatial pattern distribution and area variation of the ecological risk in Wuhu city in the three periods are shown in Figure 4 and Table 7.…”
Section: Characteristic Analysis Of Ecological Riskmentioning
confidence: 99%
“…Referring to previous relevant studies [32,40], combining the actual situation of the study area and the range of ERI in each sampling plot, ecological risk is divided into 5 grades by the natural break point method using ArcGIS 10.2: 0.013 < low ERI ≤ 0.016, 0.016 < relatively low ERI ≤ 0.019, 0.019 < medium ERI ≤ 0.023, 0.023 < relatively high ERI ≤ 0.030, and high ERI > 0.030 ( Figure 4). The spatial pattern distribution and area variation of the ecological risk in Wuhu city in the three periods are shown in Figure 4 and Table 7.…”
Section: Characteristic Analysis Of Ecological Riskmentioning
confidence: 99%
“…Overall accuracy = u a=1 C aa Q × 100 (5) where C aU is the total number of correct classifications of a particular map class; C a+U is the total number of pixels classified in a particular map class; C aR is the number of reference points classified accurately, while C a+R is the total number of reference points for that particular map class. Furthermore, Kappa analysis was carried out.…”
Section: Data Processing and Analysismentioning
confidence: 99%
“…These changes take place temporally at different times such as a few months or years and spatially such as the extent of area and the intensity of land use [3]. In view of this, the long-term changes are probably the most significant processes for global environmental change [4] and are useful for evaluating the sustainability of natural resources [5]. The natural and anthropogenic factors are identified as drivers of LULC change [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…The beginning of the "Anthropocene" is reflected by changes in global landscape patterns and ecological functions [3] and this new period is related to the multi-directional evolution of the ecological environment and has generated many ecological risks. The assessment and prevention of ecological risk has become a popular research topic in geography and ecology in response to the comprehensive management of social ecosystems [4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%