FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281785079> ?p ?o ?g. }

• W4281785079 endingPage "156553" @default.
• W4281785079 startingPage "156553" @default.
• W4281785079 abstract "Distinguishing the respective roles of climate change and anthropogenic activities can provide crucial information for sustainable management of the environment. Here, using the residual trend method (RESTREND), which measures the residue of the actual and potential trends of vegetation, we quantified the relative contributions of human activities (e.g., ecological restoration, overgrazing, and urbanization) and climate change (the warmer and wetter trend) to vegetation dynamics in China during 1988-2018 based on multiple vegetation indices, including the vegetation optical depth (Ku-VOD, C-VOD), normalized difference vegetation index (NDVI), and gross primary productivity (GPP). The results showed that the VOD, NDVI, and GPP exhibited overall increasing trends during 1988-2018. Human activities contributed >70% to the increases in NDVI and GPP in China, whereas a counterbalanced contribution of human activities and climate change was identified for the VOD dynamics (51% vs. 49%). Regions with high contributions from human activities to NDVI, GPP, and VOD were located in northeastern, southern, central, and northwestern China. In northern China, the positive impacts of human activities on NDVI (78%) and BEPS-GPP (83%) were greater than those of climate change. In contrast, human activities contributed 96% to the decrease in Ku-VOD over the same period. Before 2000, climate change promoted increases in GPP and NDVI in most regions of southern China. The increasing rates of GPP and NDVI accelerated after 2000 due to afforestation. However, human activities like overgrazing and urbanization have led to decreases in Ku-VOD in northern and southwestern China, and in C-VOD in northeastern, eastern, central, southwestern, and southern China. In all, the relative roles of climate and human factors varied in different regions when NDVI, GPP, or VOD were individually considered. Our results highlighted that the regional-scale vegetation conditions should be taken into full account to achieve sustainable management of ecosystems." @default.
• W4281785079 created "2022-06-13" @default.
• W4281785079 creator A5001937247 @default.
• W4281785079 creator A5030678010 @default.
• W4281785079 creator A5060164272 @default.
• W4281785079 creator A5070046055 @default.
• W4281785079 creator A5084961789 @default.
• W4281785079 date "2022-09-01" @default.
• W4281785079 modified "2023-10-16" @default.
• W4281785079 title "Quantifying the contributions of climate change and human activities to vegetation dynamic in China based on multiple indices" @default.
• W4281785079 cites W1629378741 @default.
• W4281785079 cites W1675519763 @default.
• W4281785079 cites W1983930403 @default.
• W4281785079 cites W2009805657 @default.
• W4281785079 cites W2014473476 @default.
• W4281785079 cites W2017841264 @default.
• W4281785079 cites W2018764772 @default.
• W4281785079 cites W2022224360 @default.
• W4281785079 cites W2028891572 @default.
• W4281785079 cites W2071032644 @default.
• W4281785079 cites W2107690183 @default.
• W4281785079 cites W2115837704 @default.
• W4281785079 cites W2119709919 @default.
• W4281785079 cites W2136904626 @default.
• W4281785079 cites W2146096861 @default.
• W4281785079 cites W2154700052 @default.
• W4281785079 cites W2290757597 @default.
• W4281785079 cites W2326014856 @default.
• W4281785079 cites W2528532518 @default.
• W4281785079 cites W2594936720 @default.
• W4281785079 cites W2752872886 @default.
• W4281785079 cites W2765836469 @default.
• W4281785079 cites W2782084880 @default.
• W4281785079 cites W2808569364 @default.
• W4281785079 cites W2882992147 @default.
• W4281785079 cites W2887003134 @default.
• W4281785079 cites W2909770101 @default.
• W4281785079 cites W2912077313 @default.
• W4281785079 cites W2914483764 @default.
• W4281785079 cites W2936453454 @default.
• W4281785079 cites W2943073300 @default.
• W4281785079 cites W2950224563 @default.
• W4281785079 cites W2956228428 @default.
• W4281785079 cites W2966758915 @default.
• W4281785079 cites W2969984456 @default.
• W4281785079 cites W2971897573 @default.
• W4281785079 cites W3000715334 @default.
• W4281785079 cites W3006763276 @default.
• W4281785079 cites W3008008384 @default.
• W4281785079 cites W3022992692 @default.
• W4281785079 cites W3038898415 @default.
• W4281785079 cites W3047424265 @default.
• W4281785079 cites W3080251720 @default.
• W4281785079 cites W3085031235 @default.
• W4281785079 cites W3089076764 @default.
• W4281785079 cites W3091733401 @default.
• W4281785079 cites W3093022536 @default.
• W4281785079 cites W3095686033 @default.
• W4281785079 cites W3097095125 @default.
• W4281785079 cites W3107173898 @default.
• W4281785079 cites W3113229681 @default.
• W4281785079 cites W3117112047 @default.
• W4281785079 cites W3119523550 @default.
• W4281785079 cites W3119762070 @default.
• W4281785079 cites W3126278299 @default.
• W4281785079 cites W3128858573 @default.
• W4281785079 cites W3129185376 @default.
• W4281785079 cites W3129886410 @default.
• W4281785079 cites W3134153357 @default.
• W4281785079 cites W3157504131 @default.
• W4281785079 cites W3166366447 @default.
• W4281785079 cites W3169513081 @default.
• W4281785079 cites W3171963340 @default.
• W4281785079 cites W3185277424 @default.
• W4281785079 cites W3188440904 @default.
• W4281785079 cites W3193676932 @default.
• W4281785079 cites W3210904480 @default.
• W4281785079 cites W3212532396 @default.
• W4281785079 cites W3217152558 @default.
• W4281785079 cites W352119078 @default.
• W4281785079 cites W4205252083 @default.
• W4281785079 cites W4210448153 @default.
• W4281785079 cites W4210668212 @default.
• W4281785079 doi "https://doi.org/10.1016/j.scitotenv.2022.156553" @default.
• W4281785079 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35690202" @default.
• W4281785079 hasPublicationYear "2022" @default.
• W4281785079 type Work @default.
• W4281785079 citedByCount "22" @default.
• W4281785079 countsByYear W42817850792022 @default.
• W4281785079 countsByYear W42817850792023 @default.
• W4281785079 crossrefType "journal-article" @default.
• W4281785079 hasAuthorship W4281785079A5001937247 @default.
• W4281785079 hasAuthorship W4281785079A5030678010 @default.
• W4281785079 hasAuthorship W4281785079A5060164272 @default.
• W4281785079 hasAuthorship W4281785079A5070046055 @default.
• W4281785079 hasAuthorship W4281785079A5084961789 @default.
• W4281785079 hasConcept C100970517 @default.
• W4281785079 hasConcept C110872660 @default.

• next