scholarly journals Integrating Ecosystem Services into Land-Use Modeling to Assess the Effects of Future Land-Use Strategies in Northern Ghana

Land ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 379
Author(s):  
Hongmi Koo ◽  
Janina Kleemann ◽  
Christine Fürst

In West Africa, where the majority of the population relies on natural resources and rain-fed agriculture, regionally adapted agricultural land-use planning is increasingly important to cope with growing demand for land-use products and intensifying climate variability. As an approach to identify effective future land-use strategies, this study applied spatially explicit modeling that addresses the spatial connectivity between the provision of ecosystem services and agricultural land-use systems. Considering that the status of ecosystem services varies with the perception of stakeholders, local knowledge, and characteristics of a case study area, two adjoining districts in northern Ghana were integrated into an assessment process of land-use strategies. Based on agricultural land-management options that were identified together with the local stakeholders, 75 future land-use strategies as combinations of multiple agricultural practices were elaborated. Potential impacts of the developed land-use strategies on ecosystem services and land-use patterns were assessed in a modeling platform that combines Geographic Information System (GIS) and Cellular Automaton (CA) modules. Modeled results were used to identify best land-use strategies that could deliver multiple ecosystem services most effectively. Then, local perception was applied to determine the feasibility of the best land-use strategies in practice. The results presented the different extent of trade-offs and synergies between ecosystem services delivered by future land-use strategies and their different feasibility depending on the district. Apart from the fact that findings were context-specific and scale-dependent, this study revealed that the integration of different local characteristics and local perceptions to spatially explicit ecosystem service assessment is beneficial for determining locally tailored recommendations for future agricultural land-use planning.

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Shreyasi Gupta Choudhury

Land resource inventory (LRI) at larger scale (1:10000) is the basic prerequisite to develop agricultural land use planning for upgrading the socioeconomic condition of the farmers. In the present era of climate change and huge demand for food, the agriculture in India is under severe stress, which might be improved through a judicious land resource inventory followed by a robust agricultural land use planning. Moreover, site specific land management options must be framed to provide right technology at right time in right place. Thus, with this aim, a methodology of LRI at 1:10000 scale have been developed using geospatial technique for preparation of landscape ecological map (LEU) as base map. The detailed information generated in GIS environment has been used in the field for detailed ground truthing and land resource inventory for farm planning. The detailed methodology has been presented through a case study considering Rajnagar block of Birbhum distrct, West Bengal for doing LRI at 1:10000 scale


Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 364
Author(s):  
Sahar Shahpari ◽  
Janelle Allison ◽  
Matthew Tom Harrison ◽  
Roger Stanley

Agricultural land-use change is a dynamic process that varies as a function of social, economic and environmental factors spanning from the local to the global scale. The cumulative regional impacts of these factors on land use adoption decisions by farmers are neither well accounted for nor reflected in agricultural land use planning. We present an innovative spatially explicit agent-based modelling approach (Crop GIS-ABM) that accounts for factors involved in farmer decision making on new irrigation adoption to enable land-use predictions and exploration. The model was designed using a participatory approach, capturing stakeholder insights in a conceptual model of farmer decisions. We demonstrate a case study of the factors influencing the uptake of new irrigation infrastructure and land use in Tasmania, Australia. The model demonstrates how irrigated land-use expansion promotes the diffusion of alternative crops in the region, as well as how coupled social, biophysical and environmental conditions play an important role in crop selection. Our study shows that agricultural land use reflected the evolution of multiple simultaneous interacting biophysical and socio-economic drivers, including soil and climate type, crop and commodity prices, and the accumulated effects of interactive decisions of farmers.


2017 ◽  
Vol 11 (5) ◽  
pp. 11 ◽  
Author(s):  
Sumbangan Baja ◽  
Samsu Arif ◽  
Risma Neswati

Agricultural land use planning should always be guided by a reliable tool to ensure effective decision making in the allocation of land use and activities. The primary aim of this study is to develop a user friendly system on a spatial basis for agricultural land suitability evaluation of four groups of agriculture commodities, including food crops, horticultural crops, perennial (plantation) crops, grazing, and tambak (fish ponds) to guide land use planning. The procedure used is as follows: (i) conducting soil survey based on generated land mapping units; (ii) developing soil database in GIS; and (iii) designing a user friendly system. The data bases of the study were derived from satellite imagery, digital topographic map, soil characteristics at reconnaissance scale, as well as climate data. Land suitability evaluation in this study uses the FAO method. The study produces a spatial based decision support tool called SUFIG-Wilkom that can give decision makers sets of information interactively for land use allocation purposes.This user friendly system is also amenable to various operations in a vector GIS, so that the system may accommodate possible additional assessment of other land use types.


2018 ◽  
Vol 39 (2) ◽  
pp. 178-191 ◽  
Author(s):  
Biola K. Badmos ◽  
Grace B. Villamor ◽  
Sampson K. Agodzo ◽  
Samuel N. Odai ◽  
Olabisi S. Badmos

Ibis ◽  
2009 ◽  
Vol 152 (1) ◽  
pp. 63-76 ◽  
Author(s):  
NIGEL D. BOATMAN ◽  
STÉPHANE PIETRAVALLE ◽  
HAZEL R. PARRY ◽  
JOE CROCKER ◽  
PAUL V. IRVING ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document