Abstract
Background
Land use and land cover change (LUC) processes in tropical forest landscapes are strongly linked to forest degradation and conversion to agricultural lands. Such processes are changing the lowlands of East Kalimantan into a mosaic of land use and land cover types, including forests, grasslands, agricultural lands and estate crop plantations. Large-scale forest fires occur regularly, often initiated for land clearing purposes and associated with El Niño Southern Oscillation events. These processes contribute to substantial biodiversity loss and large volumes of greenhouse gas emissions and therefore to global climate change. More insight in these LUC processes is needed to support biodiversity conservation and maintenance of carbon stocks.
Aim
We aim at gaining insight into LUC dynamics and the characteristic sequences in LUC processes in order to make more realistic land use projections.
Approach
We use data from multiple sources including expert knowledge, remote sensing data and regional agricultural statistics. These data are integrated in a spatially explicit land use model named PLUC. The preliminary results are shown here.
Land use and land cover change (LUC) processes in tropical forest landscapes are strongly linked to forest degradation and conversion to agricultural lands. Such processes are changing the lowlands of East Kalimantan into a mosaic of land use and land cover types, including forests, grasslands, agricultural lands and estate crop plantations. Large-scale forest fires occur regularly, often initiated for land clearing purposes and associated with El Niño Southern Oscillation events. These processes contribute to substantial biodiversity loss and large volumes of greenhouse gas emissions and therefore to global climate change. More insight in these LUC processes is needed to support biodiversity conservation and maintenance of carbon stocks.
Aim
We aim at gaining insight into LUC dynamics and the characteristic sequences in LUC processes in order to make more realistic land use projections.
Approach
We use data from multiple sources including expert knowledge, remote sensing data and regional agricultural statistics. These data are integrated in a spatially explicit land use model named PLUC. The preliminary results are shown here.
| Original language | English |
|---|---|
| Pages | 1 |
| Publication status | Published - 12 Jun 2014 |
| Event | Spatial Ecology and Conservation - Birmingham, United Kingdom Duration: 12 Jun 2014 → … |
Conference
| Conference | Spatial Ecology and Conservation |
|---|---|
| Country/Territory | United Kingdom |
| City | Birmingham |
| Period | 12/06/14 → … |
Keywords
- valorisation
