A continental-scale validation of ecosystem service models
- Willcock, Simon, Hooftman, Danny A P, Balbi, Stefano, Blanchard, Ryan, Dawson, Terence P, O’Farrell, Patrick J, Hickler, Thomas, Hudson, Malcolm D, Lindeskog, Mats, Martinez-Lopez, Javier, Mulligan, Mark, Reyers, Belinda, Shackleton, Charlie M, Sitas, Nadia, Villa, Ferdinando, Watts, Sophie M, Eigenbrod, Felix, Bullock, James M
- Authors: Willcock, Simon , Hooftman, Danny A P , Balbi, Stefano , Blanchard, Ryan , Dawson, Terence P , O’Farrell, Patrick J , Hickler, Thomas , Hudson, Malcolm D , Lindeskog, Mats , Martinez-Lopez, Javier , Mulligan, Mark , Reyers, Belinda , Shackleton, Charlie M , Sitas, Nadia , Villa, Ferdinando , Watts, Sophie M , Eigenbrod, Felix , Bullock, James M
- Date: 2019
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/177476 , vital:42825 , https://doi.org/10.1007/s10021-019-00380-y
- Description: Faced with environmental degradation, governments worldwide are developing policies to safeguard ecosystem services (ES). Many ES models exist to support these policies, but they are generally poorly validated, especially at large scales, which undermines their credibility. To address this gap, we describe a study of multiple models of five ES, which we validate at an unprecedented scale against 1675 data points across sub-Saharan Africa.
- Full Text:
- Authors: Willcock, Simon , Hooftman, Danny A P , Balbi, Stefano , Blanchard, Ryan , Dawson, Terence P , O’Farrell, Patrick J , Hickler, Thomas , Hudson, Malcolm D , Lindeskog, Mats , Martinez-Lopez, Javier , Mulligan, Mark , Reyers, Belinda , Shackleton, Charlie M , Sitas, Nadia , Villa, Ferdinando , Watts, Sophie M , Eigenbrod, Felix , Bullock, James M
- Date: 2019
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/177476 , vital:42825 , https://doi.org/10.1007/s10021-019-00380-y
- Description: Faced with environmental degradation, governments worldwide are developing policies to safeguard ecosystem services (ES). Many ES models exist to support these policies, but they are generally poorly validated, especially at large scales, which undermines their credibility. To address this gap, we describe a study of multiple models of five ES, which we validate at an unprecedented scale against 1675 data points across sub-Saharan Africa.
- Full Text:
Linking scales and disciplines: an interdisciplinary cross-scale approach to supporting climate-relevant ecosystem management
- Berger, Christian, Bieri, Mari, Bradshaw, Karen L, Brümmer, Christian, Clemen, Thomas, Hickler, Thomas, Kutsch, Werner Leo, Lenfers, Ulfia A, Martens, Carola, Midgley, Guy F, Mukwashi, Kanisios, Odipo, Victor, Scheiter, Simon, Schmullius, Christiane, Baade, Jussi, du Toit, Justin C, Scholes, Robert J, Smit, Izak P, Stevens, Nicola, Twine, Wayne
- Authors: Berger, Christian , Bieri, Mari , Bradshaw, Karen L , Brümmer, Christian , Clemen, Thomas , Hickler, Thomas , Kutsch, Werner Leo , Lenfers, Ulfia A , Martens, Carola , Midgley, Guy F , Mukwashi, Kanisios , Odipo, Victor , Scheiter, Simon , Schmullius, Christiane , Baade, Jussi , du Toit, Justin C , Scholes, Robert J , Smit, Izak P , Stevens, Nicola , Twine, Wayne
- Date: 2019
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/460589 , vital:75967 , xlink:href="https://doi.org/10.1007/s10584-019-02544-0"
- Description: Southern Africa is particularly sensitive to climate change, due to both ecological and socio-economic factors, with rural land users among the most vulnerable groups. The provision of information to support climate-relevant decision-making requires an understanding of the projected impacts of change and complex feedbacks within the local ecosystems, as well as local demands on ecosystem services. In this paper, we address the limitation of current approaches for developing management relevant socio-ecological information on the projected impacts of climate change and human activities. We emphasise the need for linking disciplines and approaches by expounding the methodology followed in our two consecutive projects. These projects combine disciplines and levels of measurements from the leaf level (ecophysiology) to the local landscape level (flux measurements) and from the local household level (socio-economic surveys) to the regional level (remote sensing), feeding into a variety of models at multiple scales. Interdisciplinary, multi-scaled, and integrated socio-ecological approaches, as proposed here, are needed to compliment reductionist and linear, scale-specific approaches. Decision support systems are used to integrate and communicate the data and models to the local decision-makers.
- Full Text:
- Authors: Berger, Christian , Bieri, Mari , Bradshaw, Karen L , Brümmer, Christian , Clemen, Thomas , Hickler, Thomas , Kutsch, Werner Leo , Lenfers, Ulfia A , Martens, Carola , Midgley, Guy F , Mukwashi, Kanisios , Odipo, Victor , Scheiter, Simon , Schmullius, Christiane , Baade, Jussi , du Toit, Justin C , Scholes, Robert J , Smit, Izak P , Stevens, Nicola , Twine, Wayne
- Date: 2019
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/460589 , vital:75967 , xlink:href="https://doi.org/10.1007/s10584-019-02544-0"
- Description: Southern Africa is particularly sensitive to climate change, due to both ecological and socio-economic factors, with rural land users among the most vulnerable groups. The provision of information to support climate-relevant decision-making requires an understanding of the projected impacts of change and complex feedbacks within the local ecosystems, as well as local demands on ecosystem services. In this paper, we address the limitation of current approaches for developing management relevant socio-ecological information on the projected impacts of climate change and human activities. We emphasise the need for linking disciplines and approaches by expounding the methodology followed in our two consecutive projects. These projects combine disciplines and levels of measurements from the leaf level (ecophysiology) to the local landscape level (flux measurements) and from the local household level (socio-economic surveys) to the regional level (remote sensing), feeding into a variety of models at multiple scales. Interdisciplinary, multi-scaled, and integrated socio-ecological approaches, as proposed here, are needed to compliment reductionist and linear, scale-specific approaches. Decision support systems are used to integrate and communicate the data and models to the local decision-makers.
- Full Text:
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