首页 | 本学科首页   官方微博 | 高级检索  
     


Assessing the relationship between ecosystem functions and services: Importance of local ecological conditions
Affiliation:1. Research Scientist, State Foundation of Agricultural Research, FEPAGRO Forrageiras, São Gabriel, RS, Brazil;2. Postdoctoral Researcher, Forage Plant and Agrometeorology Department, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil;3. Professor, Forage Plant and Agrometeorology Department, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil;4. Agronomist Researcher, Company of Agricultural Research and Rural Extension of Santa Catarina State, Experimental Station of Lages, Lages, SC, Brazil;5. Research Scientist, State Foundation of Agricultural Research, State Center of Meteorology (CEMETRS), Porto Alegre, RS, Brazil;6. Postdoctoral Researcher, Animal Science Department, National University of Central State of Buenos Aires Buenos Aires, Tandil, Argentina;7. Professor, Animal Science Department, National University of Central State of Buenos Aires Buenos Aires, Tandil, Argentina;8. Research Scientist, Brazilian Agricultural Research Corporation, EMBRAPA Pecuária Sul, Bagé, RS, Brazil
Abstract:The development of standard procedures for mapping ecosystem services (ES) hotspots is an active research issue, mainly because it is very important to provide spatially reliable information to decision makers on land-use planning. When ES supply is estimated and mapped from sets of contributing ecosystem functions (EF), it is important to identify which of them contribute the most to a particular ES. Also, it is crucial to determine whether that contribution varies across different ecological contexts. In this work, we used an expert-knowledge-elicitation approach to build “integration matrices” that resume the relationships between EF and ES in four different ecoregions of southern South America (Valdivian Forests, Campos, Chaco and Pampas). To verify the utility of creating different matrices, we compared the results of the Pampas ecoregion with an average score matrix from the four selected ecoregions. Results showed that the contribution of EF to ES differed slightly using the Pampas and the general matrix. We also mapped hotspots of three ES in a real landscape from the Pampas, using both matrices and the ECOSER protocol for ES supply mapping. The location of ES supply hotspots differed between matrices, but the amount of discrepancies was not proportional to the differences in matrices scores. This suggests that the developed matrix that takes into account local ecological conditions provides a more reliable source of spatially explicit information on ES supply for decision makers than a general matrix. The integration matrices generated in this study are useful for different protocols of ES supply mapping.
Keywords:Ecosystem services supply maps  ECOSER  Expert knowledge elicitation
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号