Analysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe

Overmars, Koen P.; Verburg, Peter H.

doi:10.1080/13658810410001713380

Cited by 110 publications

(60 citation statements)

References 25 publications

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“…The classification depends on the threshold or cut-off, which is set to classify the land-use type specific probability map. The relative operating characteristic (ROC) evaluates the goodness of fit of the regression models (Lin et al, 2007) by calculating the area under the curve, which plots the proportion of pixels correctly classified as the examined land-use versus pixels falsely classified as that land-use, for an infinite number of these cut-off values (Overmars and Verburg, 2005). ROC values vary from 0.5 (completely random) to 1 (perfect discrimination).…”

Section: Uncertainty Assessment Methodsmentioning

confidence: 99%

Predicting land-use change and its impact on the groundwater system of the Kleine Nete catchment, Belgium

Dams

Woldeamlak

Batelaan

2008

Hydrol. Earth Syst. Sci.

100

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Abstract. Land-use changes are frequently indicated to be one of the main human-induced factors influencing the groundwater system. For land-use change, groundwater research has mainly focused on the change in water quality thereby neglecting changes in quantity. The objective of this paper is to assess the impact of land-use changes, from 2000 until 2020, on the hydrological balance and in particular on groundwater quantity, as results from a case study in the Kleine Nete basin, Belgium. New is that this study tests a methodology, which couples a land-use change model with a water balance and a steady-state groundwater model. Four future land-use scenarios (A1, A2, B1 and B2) based on the Special Report on Emission Scenarios (SRES) are modelled with the CLUE-S model. Water balance components, groundwater level and baseflow are simulated using the WetSpass model in conjunction with a steady-state MODFLOW groundwater flow model. Results show that the average recharge decreases with 2.9, 1.6, 1.8 and 0.8% for scenario A1, A2, B1 and B2, respectively, over the 20 covered years. The predicted reduction in recharge results in a small decrease of the average groundwater level in the basin, ranging from 2.5 cm for scenario A1 to 0.9 cm for scenario B2, and a reduction of the baseflow with maximum 2.3% and minimum 0.7% for scenario A1 and B2, respectively. Although these averages appear to indicate small changes in the groundwater system, spatial analysis shows that much larger changes are located near the major cities in the study area. Hence, spatial planning should take better account of effects of land-use change on the groundwater system and define mitigating actions for reducing the negative impacts of land-use change.

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Section: Uncertainty Assessment Methodsmentioning

confidence: 99%

Predicting land-use change and its impact on the groundwater system of the Kleine Nete catchment, Belgium

Dams

Woldeamlak

Batelaan

2008

Hydrol. Earth Syst. Sci.

100

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“…As it pertains to the distribution of the population over a region, the surface density of villages was computed through GIS analysis [70]. Secondly, proximate factors such as distance to settlements and markets (villages and towns) were considered [66,68]. In rural areas in China, farmland and rural settlements are the most important land use classes [71].…”

Section: Human Disturbance Factorsmentioning

confidence: 99%

“…Numerous studies have shown that population density and proximate factors are important driving forces for both land cover and vegetation pattern change as well as for deforestation [66][67][68][69]. As it pertains to the distribution of the population over a region, the surface density of villages was computed through GIS analysis [70].…”

Section: Human Disturbance Factorsmentioning

confidence: 99%

Integration of Satellite Imagery, Topography and Human Disturbance Factors Based on Canonical Correspondence Analysis Ordination for Mountain Vegetation Mapping: A Case Study in Yunnan, China

Zhang

Coillie

et al. 2014

Remote Sensing

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Abstract:The integration between vegetation data, human disturbance factors, and geo-spatial data (Digital Elevation Model (DEM) and image data) is a particular challenge for vegetation mapping in mountainous areas. The present study aimed to incorporate the relationships between species distribution (or vegetation spatial distribution pattern) and topography and human disturbance factors with remote sensing data, to improve the accuracy of mountain vegetation maps. Two different mountainous areas located in Lancang (Mekong) watershed served as study sites. An Artificial Neural Network (ANN) architecture classification was used as image classification protocol. In addition, canonical correspondence analysis (CCA) ordination was applied to address the relationships between topography and human disturbance factors with the spatial distribution of vegetation patterns. We used ordinary kriging at unobserved locations to predict the CCA scores. The CCA ordination results showed that the vegetation spatial distribution patterns are strongly affected by topography and human disturbance factors. The overall accuracy of vegetation classification was significantly improved by incorporating DEM or four CCA axes as additional channels in both the northern and southern study areas. However, there was no significant difference between using DEM or four CCA axes as extra channels in OPEN ACCESSRemote Sens. 2014, 6 1027 the northern steep mountainous areas because of a strong redundancy between CCA axes and DEM data. In the southern lower mountainous areas, the accuracy was significantly higher using four CCA axes as extra bands, compared to using DEM as an extra band. In the southern study area, the variance of vegetation data explained by human disturbance factors was larger than the variance explained by topographic attributes.

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“…But if LUCC occur within or in close surrounding of these protected areas, their usefulness regarding conservation of biodiversity for the future generations will be severely threatened (Kharouba and Kerr 2010;Montesino Pouzols et al 2014;Overmars and Verburg 2005;Verburg et al 2006). BR is an area with terrestrial and coastal ecosystems and is designed to promote solutions to reconcile conservation of biodiversity with its sustainable use.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran

Parsa

Yavari

Nejadi

2016

Model. Earth Syst. Environ.

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Main global environment and ecological functions and structure affected by land use/cover changes (LUCC). Analysis of the dynamic LUCC can be very useful in biosphere reserves (BRs) management. The Land use and cover (LULC) spatio-temporal changes in the Arasbaran BR were classified (as Agricultural, Forest and Barren/Range lands), and compared with future spatial pattern (simulated using the CA-Markov model) to evaluate qualitative and quantitative changes of this BR LULC over time (1989, 2000 and 2013 with 2037). This analysis consisted of the whole area and also in respect to each of the zones within the Arasbaran BR (as a new approach to assess BR management quality). Based on this approach, the LUCC monitoring alongside the future simulation offers an early warning system that also shows us trends and consequences of the changes for the whole BR as well as for each zone (including the core zone) of BR separately. The results show a downward trend for forestland at the expense of increasing agricultural and barren/range land surface areas. Furthermore this loss of remnant forest vegetation is not only true for the whole BR (; including its buffer and transitional zones) but is happening within the core zone where it will probably continue more severely in the near future. The results demonstrate the priority need for more severe regulations regarding protection of this BR against LUCCs and for its valuable core zone forest LULC in particular.

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Analysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe

Cited by 110 publications

References 25 publications

Predicting land-use change and its impact on the groundwater system of the Kleine Nete catchment, Belgium

Predicting land-use change and its impact on the groundwater system of the Kleine Nete catchment, Belgium

Integration of Satellite Imagery, Topography and Human Disturbance Factors Based on Canonical Correspondence Analysis Ordination for Mountain Vegetation Mapping: A Case Study in Yunnan, China

Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran

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