A framework for evaluating sustainable land management

1995 ◽  
Vol 75 (4) ◽  
pp. 401-406 ◽  
Author(s):  
A. J. Smyth ◽  
J. Dumanski
Keyword(s):  
Land Use ◽  
Population Growth ◽  
Environmental Degradation ◽  
Land Management ◽  
Future Development ◽  
Global Environmental Change ◽  
Sustainable Land Management ◽  
Management Indicators ◽  
Global Environmental ◽  
Pathway Analyses

Concerns for the effects of global environmental change, caused primarily by the interrelated issues of environmental degradation and population growth, have prompted a consortium of international and national agencies to develop a Framework for Evaluation of Sustainable Land Management (FESLM). The FESLM, based on logical pathway analyses, provides a systematic procedure for identification and development of indicators and thresholds of sustainability. An assessment of sustainability is achieved by comparing the performance of a given land use with the objectives of the five pillars of sustainable land management: productivity, security, protection, viability and acceptability. A classification for sustainability is proposed, and plans for future development of the FESLM are described. Key words: Sustainability, land management, indicators, thresholds, environment, agriculture

scholarly journals Impact of Landuses on Air and Water Quality- A Review

2018 ◽  
Vol 13 (Special issue 1) ◽  
pp. 11-21
Author(s):  
KALYANI SUPRIYA ◽  
R K AGGARWAL ◽  
S K BHARDWAJ
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Air Quality ◽  
Environmental Change ◽  
Anthropogenic Activities ◽  
Global Environmental Change ◽  
Quality Of Water ◽  
Global Environmental ◽  
Land Use Impact

Landuse alteration is one of the primary causes of global environmental change. Changes in the landuse usually occurred regionally and globally over last few decades and will carry on in the future as well. These activities are highly influenced by anthropogenic activities and have more serious consequences on the quality of water and air. In the present study relationship between land use impact on water and air quality have been reviewed.

RELATIONSHIP BETWEEN POPULATION GROWTH WITH CHANGING LAND-USE PATTERN AND ENVIRONMENTAL CHANGES IN KOLKATA, WEST BENGAL

2021 ◽  
pp. 57-61
Author(s):  
Arunima Dasgupta
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Population Growth ◽  
Environmental Degradation ◽  
Urban Sprawl ◽  
West Bengal ◽  
Environmental Changes ◽  
Capital City ◽  
Special Focus ◽  
Rapid Urbanization

Given that urbanization is considered as one of the most signicant anthropogenic alteration of the overall environment, the present study attempts to understand spatial-temporal characteristics of urban population growth and its implications on land-use as well as understanding their relationship with environmental degradation with special focus on the Kolkata, the capital city of West Bengal. Urbanization is one of the major driving forces behind the development of today's land-use and land cover system. A large number of contemporary urbanization has been characterized as urban sprawl namely in an extensive form of land-use for urban uses that have environmentally detrimental effects. There are indications of Urban sprawl and city expansion in our Study Area of Kolkata indicating expansion of settlements and built-up area and thus causing environmental degradation in the city area. The process of urbanization always had signicant implications that can affect cumulative changes in demographic characteristics and/or transformation of the physical environment; unplanned, unsystematic and rapid urbanization can cause intense impacts on various environmental aspects, specically on land and air and water. A thorough understanding of the dynamic relationship between urbanization and its generated land-cover changes thus becomes completely essential for managing environmental changes and enabling sustainability of the environment and its resources.

The SYPR Integrative Assessment Model: Complexity in Development

2004 ◽  
Author(s):  
Steven Manson
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Environmental Change ◽  
Land Cover Change ◽  
Integrated Assessment ◽  
Global Environmental Change ◽  
Global Scale ◽  
Assessment Model ◽  
Integrated Assessment Modeling ◽  
Global Environmental

Be it global environmental change or environment and development, landuse and land-cover change is central to the dynamics and consequences in question in the southern Yucatán peninsular region. Designing policies to address these impacts is hampered by the difficulty of projecting land use and land cover, not only because the dynamics are complex but also because consequences are strongly place-based. This chapter describes an integrated assessment modeling framework that builds on the research detailed in earlier chapters in order to project land-use and land-cover change in a geographically explicit way. Integrated assessment is a term that describes holistic treatments of complex problems to assess both science and policy endeavors in global environmental change (Rotmans and Dowlatabadi 1998). The most common form of integrated assessment is computer modeling that combines socioeconomic and biogeophysical factors to predict global climate. Advanced in part by the successes of these global-scale models, integrated assessment has expanded to structure knowledge and set research priorities for a large range of coupled human–environment problems. Increasing recognition is given to the need for integrated assessment models to address regionalscale problems that are masked by global-scale assessments (Walker 1994). Such models must address two issues to project successfully land-use and land-cover change at the regional scale. First, change occurs incrementally in spatially distinct patterns that have different implications for global change (Lambin 1994). Second, a model must account for the complexity of, and relationships among, socio-economic and environmental factors (B. L. Turner et al. 1995). The SYPR integrated assessment model, therefore, has a fine temporal and spatial grain and it places land-use and landcover change at the intersection of land-manager decision-making, the environment, and socio-economic institutions. What follows is a description of an ongoing integrated assessment modeling endeavor of the SYPR project (henceforth, SYPR IA model). The depth and breadth of the SYPR project poses a challenge to the integrated assessment modeling effort since some unifying framework must reconcile a broad array of issues, theories, and data. The global change research community offers a general conception of how environmental change results from infrastructure development, population pressure, market opportunities, resource institutions, and environmental or resource policies (Stern, Young, and Drukman 1992).

scholarly journals Effects of land use and sustainable land management practices on runoff and soil loss in the Upper Blue Nile basin, Ethiopia

2019 ◽  
Vol 648 ◽  
pp. 1462-1475 ◽  
Author(s):  
Kindiye Ebabu ◽  
Atsushi Tsunekawa ◽  
Nigussie Haregeweyn ◽  
Enyew Adgo ◽  
Derege Tsegaye Meshesha ◽  
...  
Keyword(s):  
Land Use ◽  
Land Management ◽  
Soil Loss ◽  
Management Practices ◽  
Sustainable Land Management ◽  
Nile Basin ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Runoff And Soil Loss ◽  
Effects Of Land Use

Modeling land use and cover as part of global environmental change

1994 ◽  
Vol 28 (1-2) ◽  
pp. 45-64 ◽  
Author(s):  
William E. Riebsame ◽  
William B. Meyer ◽  
B. L. Turner
Keyword(s):  
Land Use ◽  
Environmental Change ◽  
Global Environmental Change ◽  
Global Environmental ◽  
Land Use And Cover

scholarly journals An open and extensible framework for spatially explicit land use change modelling in R: the lulccR package (0.1.0)

2015 ◽  
Vol 8 (4) ◽  
pp. 3359-3402 ◽  
Author(s):  
S. Moulds ◽  
W. Buytaert ◽  
A. Mijic
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Global Environmental Change ◽  
Model Development ◽  
Spatially Explicit ◽  
Change Models ◽  
R Programming Language ◽  
Global Environmental ◽  
R Programming ◽  
Scientific Results

Abstract. Land use change has important consequences for biodiversity and the sustainability of ecosystem services, as well as for global environmental change. Spatially explicit land use change models improve our understanding of the processes driving change and make predictions about the quantity and location of future and past change. Here we present the lulccR package, an object-oriented framework for land use change modelling written in the R programming language. The contribution of the work is to resolve the following limitations associated with the current land use change modelling paradigm: (1) the source code for model implementations is frequently unavailable, severely compromising the reproducibility of scientific results and making it impossible for members of the community to improve or adapt models for their own purposes; (2) ensemble experiments to capture model structural uncertainty are difficult because of fundamental differences between implementations of different models; (3) different aspects of the modelling procedure must be performed in different environments because existing applications usually only perform the spatial allocation of change. The package includes a stochastic ordered allocation procedure as well as an implementation of the widely used CLUE-S algorithm. We demonstrate its functionality by simulating land use change at the Plum Island Ecosystems site, using a dataset included with the package. It is envisaged that lulccR will enable future model development and comparison within an open environment.

scholarly journals Effect of Soil Orders and Land Uses on Available Soil Nutrients in Meghalaya, India

2020 ◽  
pp. 62-71
Author(s):  
Chandan Goswami ◽  
Naorem Janaki Singh ◽  
Bijoy Krishna Handique
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Soil Nutrients ◽  
Land Management ◽  
Mean Value ◽  
Soil Samples ◽  
Land Uses ◽  
Sustainable Land Management ◽  
P2o5 Content ◽  
Zn Content

Understanding of spatial distribution of available soil nutrients is important for sustainable land management. An attempt has been made to assess the spatial distribution of available soil nutrients under different soil orders and land uses of RiBhoi, Meghalaya, India using geo-statistical techniques. Seven Land Use Land Cover (LULC) classes were selected from LULC map on 1:50,000 scale prepared by National Remote Sensing Centre (NRSC) viz. Abandoned Jhum (AJ), Current Jhum (CJ), Deciduous Forest (DF), Double Crop (DC), Evergreen Forest (EF), Kharif Crop (KC) and Wastelands (WL). Again, three soil orders were identified by National Bureau of Soil Survey and Land Use Planning (NBSS&LUP) in RiBhoi district of Meghalaya, India viz. Alfisols, Inceptisols and Ultisols. 105 soil samples were collected, 5 replicated soil samples from 21 strata derived from 7 LULC and 3 soil orders. Soil samples were analyzed for available nitrogen (N), available phosphorus (P2O5), available potassium (K2O) and available zinc (Zn) using standard procedures. One way ANOVA was carried out using IBM SPSS Statistics 20.0 software. Significance levels were tested at p≤0.05. N content varied from low (215.50 kg/ha) to medium (414.30 kg/ha) with mean value of 291.50 kg/ha. On the other hand, P2O5 content varied from low (19.90 kg/ha) to high (68.30 kg/ha) with mean value of 43.52 kg/ha. Similarly, K2O content varied from low (112.09 kg/ha) to high (567.84 kg/ha) with mean value of 273.68 kg/ha. Again, Zn also varied from low (0.26 ppm) to high (1.46 ppm) with mean value of 0.64 ppm. In Alfisols, N was found to be higher in EF, AJ & CJ than DF, DC, KC and WL. KC has been found to have lower N than all other LULC classes. Higher P2O5 has been found under EF over KC and WL. AJ has been found to have higher K2O than all other LULC classes. K2O has also been found to be higher in CJ over DC, KC and WL. DF and EF have been found to have higher K2O than KC and WL. Zn has been found to be higher in EF over CJ, DC and WL. In Inceptisols, higher amount of N was observed under EF over all other LULC classes. Higher N has also been found under CJ over DF, DC, KC and WL. P2O5 content was found to be higher under DF over all other LULC classes. Higher P2O5 content was also found under AJ, CJ and DC than KC and WL. Higher amount of K2O has been found under AJ over all other LULC. K2O content of soil under DF was also higher than CJ, EF, KC and WL. Zn has been found to be higher under EF over all other LULC classes. Zn content under CJ has also been found to be higher than AJ, DF, KC and WL. In Ultsols, higher amount of N has been found under EF compared to all other LULC classes. Lowest N content was found under KC. P2O5 content was found to be higher under EF, DF and AJ over all other LULC. K2O content has been found to be higher under CJ in comparison to all other LULC classes. K2O content of EF and DF were also found to be higher than AJ, DC, KC and WL. Again, K2O content has been found to be higher under DC compared to AJ, KC and WL. Zn content under EF and AJ was found to be higher than all other LULC classes. CJ, DF, DC, KC and WL have been found to have lower Zn content. It has been observed that P2O5 content is significantly higher in inceptisols irrespective of LULC classes. The study has highlighted the spatial distribution of available soil nutrients as a function of soil orders and LULC. This will be a useful input in sustainable land management programmes.

Sign in / Sign up

Export Citation Format

Share Document