Matches in SemOpenAlex for { <https://semopenalex.org/work/W3116878415> ?p ?o ?g. }
- W3116878415 endingPage "144297" @default.
- W3116878415 startingPage "144297" @default.
- W3116878415 abstract "Understanding the impacts of climate change and human activities on vegetation is of great significance to the sustainable development of terrestrial ecosystems. However, most studies focused on the overall impact over a period and rarely examined the time-lag effect of vegetation's response to climatic factors when exploring the driving mechanisms of vegetation dynamics. In this study, we identified key areas driven by either positive or negative human activities and climate change. Taking the three karst provinces of southwest China as the case study area, a Leaf Area Index (LAI)-climate model was constructed by quantifying the time-lag effect. Then the associated residual threshold was calculated to identify the vegetation change areas dominated by human activities and climate change. The results showed that, during the implementation period of ecological restoration projects from 1999 to 2015, positive impact areas of human activities were mainly distributed among the implementation areas of ecological restoration projects, accounting for 5.61% of the total area. For another, the negative impact areas were mainly distributed across the mountainous area of Yunnan Province, accounting for 1.30% of the total area. Karst landform had the greatest influence on the areas dominated by positive human activities, whereas both topography and karst landform significantly affected the areas dominated by negative human activities. Urban development level had the greatest impact on the areas dominated by climate change. The outcomes of this study provided scientific supports for the sustainable development of ecological restoration projects in China's karst region." @default.
- W3116878415 created "2021-01-05" @default.
- W3116878415 creator A5010398730 @default.
- W3116878415 creator A5021653380 @default.
- W3116878415 creator A5023292954 @default.
- W3116878415 creator A5024947117 @default.
- W3116878415 creator A5041152871 @default.
- W3116878415 creator A5048793955 @default.
- W3116878415 creator A5053649930 @default.
- W3116878415 creator A5056278941 @default.
- W3116878415 creator A5060177975 @default.
- W3116878415 date "2021-05-01" @default.
- W3116878415 modified "2023-10-11" @default.
- W3116878415 title "Human activity vs. climate change: Distinguishing dominant drivers on LAI dynamics in karst region of southwest China" @default.
- W3116878415 cites W1975999098 @default.
- W3116878415 cites W1978021387 @default.
- W3116878415 cites W1984365053 @default.
- W3116878415 cites W2019903800 @default.
- W3116878415 cites W2030062793 @default.
- W3116878415 cites W2033412676 @default.
- W3116878415 cites W2034672914 @default.
- W3116878415 cites W2038215949 @default.
- W3116878415 cites W2039361154 @default.
- W3116878415 cites W2047751191 @default.
- W3116878415 cites W2052115471 @default.
- W3116878415 cites W2060372990 @default.
- W3116878415 cites W2076358440 @default.
- W3116878415 cites W2076669576 @default.
- W3116878415 cites W2083153440 @default.
- W3116878415 cites W2083298825 @default.
- W3116878415 cites W2084729856 @default.
- W3116878415 cites W2092606279 @default.
- W3116878415 cites W2093275097 @default.
- W3116878415 cites W2100335098 @default.
- W3116878415 cites W2101424567 @default.
- W3116878415 cites W2107690183 @default.
- W3116878415 cites W2145345932 @default.
- W3116878415 cites W2163283323 @default.
- W3116878415 cites W2165037481 @default.
- W3116878415 cites W2170724714 @default.
- W3116878415 cites W2336426693 @default.
- W3116878415 cites W2342781543 @default.
- W3116878415 cites W2526748414 @default.
- W3116878415 cites W2594810507 @default.
- W3116878415 cites W2613288273 @default.
- W3116878415 cites W2757864180 @default.
- W3116878415 cites W2765836469 @default.
- W3116878415 cites W2782084880 @default.
- W3116878415 cites W2793623214 @default.
- W3116878415 cites W2798128019 @default.
- W3116878415 cites W2803473340 @default.
- W3116878415 cites W2804583096 @default.
- W3116878415 cites W2805003967 @default.
- W3116878415 cites W2808569364 @default.
- W3116878415 cites W2891526260 @default.
- W3116878415 cites W2908213433 @default.
- W3116878415 cites W2912077313 @default.
- W3116878415 cites W2920943407 @default.
- W3116878415 cites W2946688434 @default.
- W3116878415 cites W2950533160 @default.
- W3116878415 cites W2979765003 @default.
- W3116878415 cites W2981464168 @default.
- W3116878415 cites W2990824739 @default.
- W3116878415 cites W2991848483 @default.
- W3116878415 cites W3000715334 @default.
- W3116878415 cites W3003884168 @default.
- W3116878415 cites W3014932017 @default.
- W3116878415 cites W3017278801 @default.
- W3116878415 cites W3036207951 @default.
- W3116878415 cites W3036684238 @default.
- W3116878415 cites W3074750262 @default.
- W3116878415 cites W3090920843 @default.
- W3116878415 doi "https://doi.org/10.1016/j.scitotenv.2020.144297" @default.
- W3116878415 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33486176" @default.
- W3116878415 hasPublicationYear "2021" @default.
- W3116878415 type Work @default.
- W3116878415 sameAs 3116878415 @default.
- W3116878415 citedByCount "36" @default.
- W3116878415 countsByYear W31168784152021 @default.
- W3116878415 countsByYear W31168784152022 @default.
- W3116878415 countsByYear W31168784152023 @default.
- W3116878415 crossrefType "journal-article" @default.
- W3116878415 hasAuthorship W3116878415A5010398730 @default.
- W3116878415 hasAuthorship W3116878415A5021653380 @default.
- W3116878415 hasAuthorship W3116878415A5023292954 @default.
- W3116878415 hasAuthorship W3116878415A5024947117 @default.
- W3116878415 hasAuthorship W3116878415A5041152871 @default.
- W3116878415 hasAuthorship W3116878415A5048793955 @default.
- W3116878415 hasAuthorship W3116878415A5053649930 @default.
- W3116878415 hasAuthorship W3116878415A5056278941 @default.
- W3116878415 hasAuthorship W3116878415A5060177975 @default.
- W3116878415 hasConcept C100970517 @default.
- W3116878415 hasConcept C108497213 @default.
- W3116878415 hasConcept C110872660 @default.
- W3116878415 hasConcept C132651083 @default.
- W3116878415 hasConcept C142724271 @default.
- W3116878415 hasConcept C166957645 @default.
- W3116878415 hasConcept C182348080 @default.