2016
DOI: 10.1371/journal.pone.0153862
|View full text |Cite
|
Sign up to set email alerts
|

Assessing Regional-Scale Impacts of Short Rotation Coppices on Ecosystem Services by Modeling Land-Use Decisions

Abstract: Meeting the world’s growing energy demand through bioenergy production involves extensive land-use change which could have severe environmental and social impacts. Second generation bioenergy feedstocks offer a possible solution to this problem. They have the potential to reduce land-use conflicts between food and bioenergy production as they can be grown on low quality land not suitable for food production. However, a comprehensive impact assessment that considers multiple ecosystem services (ESS) and biodive… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
20
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 28 publications
(20 citation statements)
references
References 61 publications
0
20
0
Order By: Relevance
“…Land-use change is a management intervention that can drive demand and supply in one or more ES (Bennett et al 2009), and therefore land use/land cover (LULC) has been considered as a determinant of individual ES or ES bundles in this study and many others (e.g. Hamann et al 2015;Meacham et al 2016;Schulze et al 2016). There are several issues with using LULC as a determinant in multi-ES analyses.…”
Section: Careful Selection Of Social-ecological Variables In Multi-esmentioning
confidence: 99%
See 1 more Smart Citation
“…Land-use change is a management intervention that can drive demand and supply in one or more ES (Bennett et al 2009), and therefore land use/land cover (LULC) has been considered as a determinant of individual ES or ES bundles in this study and many others (e.g. Hamann et al 2015;Meacham et al 2016;Schulze et al 2016). There are several issues with using LULC as a determinant in multi-ES analyses.…”
Section: Careful Selection Of Social-ecological Variables In Multi-esmentioning
confidence: 99%
“…Studies are increasingly applying these techniques in ES research to determine how drivers and ES are related to one another, by replacing the latter table with a site × ES table(Mouchet et al 2014;Meacham et al 2016), including, for example, redundancy analysis and canonical correspondence analysis. Other approaches have used regression-based or machine-learning methods with a single response variable, such as ES bundle type (e.g Hamann et al 2015;Meacham et al 2016;Schulze et al 2016),. or whether a locality represents a win-win or not(Qui & Turner et al 2013).Whichever quantitative method is used, a critical step is the identification of candidate socialecological variables that are important in explaining or predicting different ES bundles.…”
mentioning
confidence: 99%
“…SRWC assume great significance because these are systems wherein fast growing tree species are cultivated under intensive agricultural practices in order to achieve high biomass yield (Pleguezuelo et al, 2015). The SRWC had assumed importance in some countries of the European Union (Schulze et al, 2016) and in the United States (Djomo et al, 2015). SRWC has also elicited an increasing amount of attention in Chile (Carmona et al, 2015), Brazil as well as in some Central American countries (Cutz, et al, 2016;Salazar-Zeledón et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Even the old coppice systems, which were mostly abandoned in Middle Europe during the 19th century, are reinvented as short-rotation plantations on agricultural land as a means of climate change mitigation. The multifunctional evaluation of the different options is rather complex [16] and is dependent on system boundaries. Deckmyn et al [17] compared the benefits for carbon sequestration of afforestation with an oak-beech high forest with a poplar short-rotation coppice.…”
Section: Analysis Of Different Forms Of Integration Of Multiple Intermentioning
confidence: 99%