首頁資訊基于耦合模型的廣東省生態(tài)系統(tǒng)健康時(shí)空動態(tài)變化

基于耦合模型的廣東省生態(tài)系統(tǒng)健康時(shí)空動態(tài)變化

來源：泰然健康網(wǎng) 時(shí)間：2024年12月16日 06:20

基金項(xiàng)目:

廣西八桂學(xué)者專項(xiàng)項(xiàng)目；國家自然科學(xué)(42061059)；廣西自然科學(xué)(2020GXNSFBA297160)；廣西空間信息與測繪重點(diǎn)實(shí)驗(yàn)室資助課題(191851016)

摘要 | | 訪問統(tǒng)計(jì) | | | || 文章評論

摘要:

探究廣東省2009-2019年的生態(tài)系統(tǒng)健康時(shí)空動態(tài)變化特征,可為廣東省社會經(jīng)濟(jì)與生態(tài)系統(tǒng)健康可持續(xù)發(fā)展提供數(shù)據(jù)支持與理論參考。本文基于VOR模型耦合生態(tài)服務(wù)系統(tǒng)價(jià)值并采用最小二乘法優(yōu)化組合賦權(quán)方法構(gòu)建新的多指標(biāo)評價(jià)體系,對廣東省2009-2019年的生態(tài)系統(tǒng)健康狀況進(jìn)行評價(jià)與分析。結(jié)果表明：(1)廣東省近11年來生態(tài)系統(tǒng)健康狀況整體處于二級亞健康及以下水平,呈現(xiàn)北部內(nèi)陸地區(qū)優(yōu)于南部沿海地區(qū)的空間分布特征；(2) )廣東省近11年來生態(tài)系統(tǒng)健康等級變化主要在二級和三級之間相互轉(zhuǎn)化,生態(tài)系統(tǒng)健康等級為二級的區(qū)域面積占比呈現(xiàn)起伏狀態(tài)。處于二級亞健康水平的區(qū)域面積占比在2015年、2016年和2018年高達(dá)50%以上,生態(tài)系統(tǒng)健康狀況最好；而2009-2011年以及2019年處于二級亞健康水平的區(qū)域面積占比不到30%,生態(tài)系統(tǒng)健康狀況有變差的趨勢。(3)廣東省在2009-2019年間生態(tài)系統(tǒng)健康狀況處于改善的區(qū)域面積比退化的區(qū)域高4.79%,但2014-2019年間相較于2009-2014年間生態(tài)系統(tǒng)健康等級退化的區(qū)域面積占比上升23.05%,生態(tài)系統(tǒng)健康狀況在2014-2019年間出現(xiàn)明顯惡化,呈現(xiàn)由二級亞健康水平向三級一般健康水平轉(zhuǎn)化趨勢。研究結(jié)果從時(shí)間和空間上定量分析 2009-2019 年廣東省生態(tài)系統(tǒng)健康狀況,根據(jù)南北地區(qū)生態(tài)系統(tǒng)健康狀況差異提出相應(yīng)政策建議,對推動廣東省生態(tài)文明建設(shè)協(xié)調(diào)發(fā)展具有實(shí)際意義。

Abstract:

The characteristics of spatial and temporal dynamics of ecosystem health in Guangdong Province from 2009 to 2019 is explored, it can provide data support and theoretical references for the sustainable development of socio-economic and ecosystem health in Guangdong Province. The ecosystem health of Guangdong Province from 2009 to 2019 was evaluated and analyzed using a new multi-indicator evaluation system based on the VOR model coupled with ecosystem values and a least squares optimal combination of weighting methods. A new multi-indicator evaluation system based on the VOR model coupled with ecosystem values of ecosystem services is built to evaluate and analyze the ecosystem health of Guangdong Province from 2009 to 2019, which uses the least squares method to optimize the combination of weighting. The results show that: (1) In the past 11 years, the overall ecosystem health status of Guangdong Province was at the Level 2 of subhealth or below, which had present the spatial distribution characteristics that the northern inland areas were better than the southern coastal areas; (2) The change of ecosystem health level in Guangdong Province in the past 11 years was mainly transformed between Level 2 and Level 3, and the percentage of area in Level 2 of ecosystem health showed an undulating state. The percentage of the area in Level 2 of subhealth was over 50% in 2015, 2016 and 2018, and the ecosystem health was the best; while the percentage of the area in Level 2 of subhealth was less than 30% in 2009-2011 and 2019, and the ecosystem health became worse. (3) In Guangdong Province, the area of areas with improved ecosystem health was 4.79% higher than that of degraded areas in 2009-2019, but the percentage of areas with degraded ecosystem health level increased by 23.05% in 2014-2019 compared with that in 2009-2014, and the ecosystem health deteriorated significantly in 2014-2019, showing a trend from the Level 2 of subhealth to a third generally healthy. The results of the study quantitatively analyze the ecosystem health of Guangdong Province from 2009-2019 in terms of time and space, and propose the corresponding policy recommendations based on the differences in ecosystem health between the north and south regions, which have practical implication for promoting the coordinated development of ecological civilization in Guangdong Province.

引用本文

竇世卿,張楠,靖娟利,等. 基于耦合模型的廣東省生態(tài)系統(tǒng)健康時(shí)空動態(tài)變化[J]. 科學(xué)技術(shù)與工程, 2022, 22(27): 12223-12232.
Dou Shiqing, Zhang Nan, Jing Juanli, et al. Research on Spatio-temporal Dynamic Changes of Ecosystem Health in Guangdong Province Based on Coupling Model[J]. Science Technology and Engineering,2022,22(27):12223-12232.

復(fù)制

分享文章指標(biāo) 點(diǎn)擊次數(shù):134 下載次數(shù): 484 HTML閱讀次數(shù): 0 歷史收稿日期:2021-11-23 最后修改日期:2022-04-29 錄用日期:2022-04-30 在線發(fā)布日期: 2022-10-24