The Jimo coast encompasses an area of 2157 km^2, and the ecosystem is valuable both socially and economically with regional fisheries substantially contributing to the value. A mass-balanced trophic model consisting o...The Jimo coast encompasses an area of 2157 km^2, and the ecosystem is valuable both socially and economically with regional fisheries substantially contributing to the value. A mass-balanced trophic model consisting of 15 functional ecological groups was developed for the coastal ecosystem using the Ecopath model in Ecopath with Ecosim(Ew E) software(version 6.4.3). The results of the model simulations indicated that the trophic levels of the functional groups varied between 1.0 and 3.76, and the total production of the system was estimated to be 5112.733 t km^(-2) yr^(-1) with a total energy transfer efficiency of 17.6%. The proportion of the total flow originating from detritus was estimated to be 48%, whereas that from primary producers was 52%, indicating that the grazing food chain dominated the energy flow. The ratio of total primary productivity to total respiration in the system was 3.78, and the connectivity index was 0.4. The fin cycling index and the mean path length of the energy flow were 4.92% and 2.57%, respectively, which indicated that the ecosystem exhibits relatively low maturity and stability. The mixed trophic impact(MTI) procedure suggested that the ecological groups at lower trophic levels dominated the feeding dynamics in the Jimo coastal ecosystem. Overfishing is thought to be the primary reason for the degeneration of the Jimo coastal ecosystem, resulting in a decline in the abundance of pelagic and demersal fish species and a subsequent shift to the predominance of lower-trophic-level functional groups. Finally, we offered some recommendations for improving current fishery management practices.展开更多
Studies on the ecosystem service value(ESV)of gardens are critical for informing evidence-based land management practices based on an understanding of the local ecosystem.By analyzing equivalent value factors(EVFs),th...Studies on the ecosystem service value(ESV)of gardens are critical for informing evidence-based land management practices based on an understanding of the local ecosystem.By analyzing equivalent value factors(EVFs),this paper evaluated the values of 11 ecosystem services of gardens in the Yellow River Basin of China in 2019.High-precision land use survey data were used to improve the accuracy of the land use classification,garden areas,and spatial distribution of the ESVs of gardens.The results showed that garden ecosystem generally had high ESVs,especially in terms of the ESV of food production,which is worthy of further research and application to the practice of land use planning and management.Specifically,the value of one standard EVF of ecosystem services in 2019 was 3587.04 CNY/(hm^(2)·a),and the ESV of food production of gardens was much higher than that of croplands.Garden ecosystem provided an ESV of 1348.66×10^(8)CNY/a in the Yellow River Basin.The areas with the most concentrated ESVs of gardens were located in four regions:downstream in the Shandong-Henan zone along the Yellow River,mid-stream in the Shanxi-Shaanxi zone along the Yellow River,the Weihe River Basin,and upstream in the Qinghai-Gansu-Ningxia-Inner Mongolia zone along the Yellow River.The spatial correlation of the ESVs in the basin was significant(global spatial autocorrelation index Moran's I=0.464),which implied that the characteristics of high ESVs adjacent to high ESVs and low ESVs adjacent to low ESVs are prominent.In the Yellow River Basin,the contribution of the ESVs of gardens to the local environment and economy varied across regions.We also put forward some suggestions for promoting the construction of ecological civilization in the Yellow River Basin.The findings of this study provide important contributions to the research of ecosystem service evaluation in the Yellow River Basin.展开更多
Evaluating forest ecosystem services(FES)is crucial for comprehensively recognizing forest value and for formulating targeted forest management plans.However,hurdles persist in traditional FES evaluations that are bas...Evaluating forest ecosystem services(FES)is crucial for comprehensively recognizing forest value and for formulating targeted forest management plans.However,hurdles persist in traditional FES evaluations that are based on conventional data(e.g.,statistical yearbooks and survey data),such as a coarse evaluation scale and difficulty in formulating refined and spatially continuous evaluation results.Forest canopy cover,canopy height,and forest aboveground biomass(AGB)are the core fundamental inputs of a robust FES evaluation.Their accuracy and degree of refinement will influence the final evaluation results obtained.To overcome the above issues,this study first explored accurate estimation methods for all 3 parameters above and then evaluated FES multidimensionally,by using these results combined with other remote sensing products and applying various principles and algorithms.Our results show that a high estimation accuracy(>80%)of the 3 key parameters is achievable for coniferous to broad-leaved forest stands and that FES evaluation results are obtainable with a high resolution and spatial continuity.The service functions,such as nutrient retention,carbon sequestration and oxygen release,and product supply are stronger while others relatively are weaker.It is worth noting that carbon storage by the AGB carbon pool surpasses that of other carbon pools.Finally,the potential of FES varies according to forest type.Compared with broad-leaved forest,coniferous forest has a greater capacity for product supply,windbreak,and sand fixation services.This study offers a methodological reference for the formulation of policies related to the paid use of FES.展开更多
In the light of the study of domestic and foreign ur-ban ecosystem,this article puts forward a set of ideological systemsfor the forecast,evaluation and tactic,and conducts initial primaryexploration of its forecast a...In the light of the study of domestic and foreign ur-ban ecosystem,this article puts forward a set of ideological systemsfor the forecast,evaluation and tactic,and conducts initial primaryexploration of its forecast and evaluation methods.展开更多
Accurate quantification of tree populations within regions is critical for evaluating forest ecosystem conditions and developing effective forest management strategies[1].High-quality tree census data,collected throug...Accurate quantification of tree populations within regions is critical for evaluating forest ecosystem conditions and developing effective forest management strategies[1].High-quality tree census data,collected through field surveys and remote sensing technologies,is fundamental to China's sustainable development and environmental conservation initiatives.This data facilitates the monitoring of forest structural changes,carbon sequestration dynamics,and ecosystem health evaluations.Notably,China maintains the world's largest managed forest area,achieved through comprehensive national afforestation and reforestation programs[2,3].Consequently,precise tree enumeration is crucial for formulating effective forest management policies,monitoring and protecting wildlife habitats,and preventing natural disasters in China.展开更多
基金the financial support provided by the National Social Science Foundation (Grant No.12JJD790032)the Project of the Chinese Ministry of Education (Grant No.13JJD790032)
文摘The Jimo coast encompasses an area of 2157 km^2, and the ecosystem is valuable both socially and economically with regional fisheries substantially contributing to the value. A mass-balanced trophic model consisting of 15 functional ecological groups was developed for the coastal ecosystem using the Ecopath model in Ecopath with Ecosim(Ew E) software(version 6.4.3). The results of the model simulations indicated that the trophic levels of the functional groups varied between 1.0 and 3.76, and the total production of the system was estimated to be 5112.733 t km^(-2) yr^(-1) with a total energy transfer efficiency of 17.6%. The proportion of the total flow originating from detritus was estimated to be 48%, whereas that from primary producers was 52%, indicating that the grazing food chain dominated the energy flow. The ratio of total primary productivity to total respiration in the system was 3.78, and the connectivity index was 0.4. The fin cycling index and the mean path length of the energy flow were 4.92% and 2.57%, respectively, which indicated that the ecosystem exhibits relatively low maturity and stability. The mixed trophic impact(MTI) procedure suggested that the ecological groups at lower trophic levels dominated the feeding dynamics in the Jimo coastal ecosystem. Overfishing is thought to be the primary reason for the degeneration of the Jimo coastal ecosystem, resulting in a decline in the abundance of pelagic and demersal fish species and a subsequent shift to the predominance of lower-trophic-level functional groups. Finally, we offered some recommendations for improving current fishery management practices.
基金supported by the Territorial Spatial Planning Institute of Shandong Province,China(Study on the Use and Protection of Ecological Land in Shandong Province)the National Social Science Foundation of China(12BJY058).
文摘Studies on the ecosystem service value(ESV)of gardens are critical for informing evidence-based land management practices based on an understanding of the local ecosystem.By analyzing equivalent value factors(EVFs),this paper evaluated the values of 11 ecosystem services of gardens in the Yellow River Basin of China in 2019.High-precision land use survey data were used to improve the accuracy of the land use classification,garden areas,and spatial distribution of the ESVs of gardens.The results showed that garden ecosystem generally had high ESVs,especially in terms of the ESV of food production,which is worthy of further research and application to the practice of land use planning and management.Specifically,the value of one standard EVF of ecosystem services in 2019 was 3587.04 CNY/(hm^(2)·a),and the ESV of food production of gardens was much higher than that of croplands.Garden ecosystem provided an ESV of 1348.66×10^(8)CNY/a in the Yellow River Basin.The areas with the most concentrated ESVs of gardens were located in four regions:downstream in the Shandong-Henan zone along the Yellow River,mid-stream in the Shanxi-Shaanxi zone along the Yellow River,the Weihe River Basin,and upstream in the Qinghai-Gansu-Ningxia-Inner Mongolia zone along the Yellow River.The spatial correlation of the ESVs in the basin was significant(global spatial autocorrelation index Moran's I=0.464),which implied that the characteristics of high ESVs adjacent to high ESVs and low ESVs adjacent to low ESVs are prominent.In the Yellow River Basin,the contribution of the ESVs of gardens to the local environment and economy varied across regions.We also put forward some suggestions for promoting the construction of ecological civilization in the Yellow River Basin.The findings of this study provide important contributions to the research of ecosystem service evaluation in the Yellow River Basin.
基金funded by the Fundamental Research Funds for the Central Non-profit Research Institution of CAF,grant number"CAFYBB2019ZB004"the National Science and Technology Major Project of China’s High Resolution Earth Observation System,grant number"21-Y30B02-9001-19/22-3"+1 种基金the ESA-MOST China Dragon 5 Cooperation,grant number"59313"the special fund for Science and Technology Innovation Teams of Shanxi Province,grant number"202204051001010"
文摘Evaluating forest ecosystem services(FES)is crucial for comprehensively recognizing forest value and for formulating targeted forest management plans.However,hurdles persist in traditional FES evaluations that are based on conventional data(e.g.,statistical yearbooks and survey data),such as a coarse evaluation scale and difficulty in formulating refined and spatially continuous evaluation results.Forest canopy cover,canopy height,and forest aboveground biomass(AGB)are the core fundamental inputs of a robust FES evaluation.Their accuracy and degree of refinement will influence the final evaluation results obtained.To overcome the above issues,this study first explored accurate estimation methods for all 3 parameters above and then evaluated FES multidimensionally,by using these results combined with other remote sensing products and applying various principles and algorithms.Our results show that a high estimation accuracy(>80%)of the 3 key parameters is achievable for coniferous to broad-leaved forest stands and that FES evaluation results are obtainable with a high resolution and spatial continuity.The service functions,such as nutrient retention,carbon sequestration and oxygen release,and product supply are stronger while others relatively are weaker.It is worth noting that carbon storage by the AGB carbon pool surpasses that of other carbon pools.Finally,the potential of FES varies according to forest type.Compared with broad-leaved forest,coniferous forest has a greater capacity for product supply,windbreak,and sand fixation services.This study offers a methodological reference for the formulation of policies related to the paid use of FES.
文摘In the light of the study of domestic and foreign ur-ban ecosystem,this article puts forward a set of ideological systemsfor the forecast,evaluation and tactic,and conducts initial primaryexploration of its forecast and evaluation methods.
基金supported by the National Key Research and Development Program of China(2022YFF1300203)the National Natural Science Foundation of China(42371329 and 32301285)。
文摘Accurate quantification of tree populations within regions is critical for evaluating forest ecosystem conditions and developing effective forest management strategies[1].High-quality tree census data,collected through field surveys and remote sensing technologies,is fundamental to China's sustainable development and environmental conservation initiatives.This data facilitates the monitoring of forest structural changes,carbon sequestration dynamics,and ecosystem health evaluations.Notably,China maintains the world's largest managed forest area,achieved through comprehensive national afforestation and reforestation programs[2,3].Consequently,precise tree enumeration is crucial for formulating effective forest management policies,monitoring and protecting wildlife habitats,and preventing natural disasters in China.
