Food production services had the least ESV, while climate regulation service had the highest ESV in our research. The followed ESV can be applied all over the world, especially in Africa and Asia for calculating any grain production. US is another sensitive factor of ESV; the Renyi’s entropy...
In this research, C1 is the coupling degree of Waihai Lake and C2 is the coupling degree of Caohai Lake. The coordinated development of the landscape pattern and water-quality system in Dianchi Basin was determined via calculations. D1 is the coupling coordination degree of Waihai Lake and ...
These metrics were chosen based on appropriate review of literature in the related field of research to depict the temporal status of aggregation, dominance, and fragmentation of the studied landscape. Among these, NP, PD, SHAPEAM and FRACAM showed the fragmentation status, where higher value ...
Landscape strategy making as a pathway to policy integration and involvement of stakeholders: Examples from a Danish action research programme. Journal of Environmental Planning and Management, 63(6): 1114–1131. Article Google Scholar Kuper R, 2017. Evaluations of landscape preference, complexity, ...
Along the same lines, we reappraise the diversification of terrestrial life during the Phanerozoic eon, except that we focus on land plants whose role as primary producers limits the impact of uncontrolled feedback interactions within the trophic chain. For that purpose, we test the possible impact...
Research articleOpen access31 January 2025Article: 36 Land sharing, land sparing, and Triad forestry: modeling forest composition, diversity, and carbon storage under climate change and natural disturbances Colin N. Mast Neil G. Williams Melissa S. Lucash ...
Landscape structure can also have a negative impact on the pollinator populations, even apart from the obvious negative effect of the increase in non-flowering crop areas at the expense of SNHs. MFCs, such as oilseed rape and sunflower, offer rich nectar and pollen resource to pollinators, bu...
For selecting dominant indicators and presenting the spatial variability of the causative factors of the urban thermal environment, a new modeling framework was constructed by structural equation model (SEM) and factor analysis. A highly urbanized city in China, Shenzhen, was chosen as a case area....
Hybrid-based Bayesian algorithm and hydrologic indices for flash flood vulnerability assessment in coastal regions: machine learning, risk prediction, and environmental impact. Environmental Science and Pollution Research, 2022, 29(38): 57345-57356. DOI:10.1007/s11356-022-19903-7 170. Yuan, X., ...
The interaction between land use/cover change and landscape pattern is pivotal in research concerning global environmental change. This study uses three di... F.,Zhang,T.,... - 《Land Degradation & Development》 被引量: 51发表: 2015年 Modeling desertification change in Minqin County, China Mo...