scholarly journals Characterizing Land Use Change in Multidisciplinary Landscape-Level Analyses

2003 ◽  
Vol 32 (1) ◽  
pp. 103-115 ◽  
Author(s):  
Jeffrey D. Kline
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Data Modeling ◽  
Coast Range ◽  
Ecological Processes ◽  
Land Use Modeling ◽  
Integrated Research ◽  
Spatial Specificity ◽  
Level Analysis ◽  
Landscape Level

Economists increasingly face opportunities to collaborate with ecologists on landscape-level analyses of socioeconomic and ecological processes. This often calls for developing empirical models to project land use change as input into ecological models. Providing ecologists with the land use information they desire can present many challenges regarding data, modeling, and econometrics. This paper provides an overview of the relatively recent adaptation of economics-based land use modeling methods toward greater spatial specificity desired in integrated research with ecologists. Practical issues presented by data, modeling, and econometrics are highlighted, followed by an example based on a multidisciplinary landscape-level analysis in Oregon's Coast Range mountains.

Landscape level analysis of the spatial and temporal complexity of land-use change

2004 ◽  
pp. 217-230 ◽  
Author(s):  
Peter H. Verburg ◽  
A. Veldkamp ◽  
Louise Willemen ◽  
Koen P. Overmars ◽  
Jean-Christophe Castella
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Temporal Complexity ◽  
Level Analysis ◽  
Landscape Level

scholarly journals Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China

2021 ◽  
Vol 13 (6) ◽  
pp. 3473
Author(s):  
Yong Lai ◽  
Guangqing Huang ◽  
Shengzhong Chen ◽  
Shaotao Lin ◽  
Wenjun Lin ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Landscape Connectivity ◽  
Land Use Changes ◽  
Research Result ◽  
Global Environmental Change ◽  
Ecological Processes ◽  
Buffer Zones ◽  
Conflict Zones ◽  
Land Use Dynamics

Anthropogenic land-use change is one of the main drivers of global environmental change. China has been on a fast track of land-use change since the Reform and Opening-up policy in 1978. In view of the situation, this study aims to optimize land use and provide a way to effectively coordinate the development and ecological protection in China. We took East Guangdong (EGD), an underdeveloped but populous region, as a case study. We used land-use changes indexes to demonstrate the land-use dynamics in EGD from 2000 to 2020, then identified the hot spots for fast-growing areas of built-up land and simulated land use in 2030 using the future land-use simulation (FLUS) model. The results indicated that the cropland and the built-up land changed in a large proportion during the study period. Then we established the ecological security pattern (ESP) according to the minimal cumulative resistance model (MCRM) based on the natural and socioeconomic factors. Corridors, buffer zones, and the key nodes were extracted by the MCRM to maintain landscape connectivity and key ecological processes of the study area. Moreover, the study showed the way to identify the conflict zones between future built-up land expansion with the corridors and buffer zones, which will be critical areas of consideration for future land-use management. Finally, some relevant policy recommendations are proposed based on the research result.

Change in agricultural land use constrains adaptation of national wildlife refuges to climate change

2014 ◽  
Vol 42 (1) ◽  
pp. 12-19 ◽  
Author(s):  
CHRISTOPHER M. HAMILTON ◽  
WAYNE E. THOGMARTIN ◽  
VOLKER C. RADELOFF ◽  
ANDREW J. PLANTINGA ◽  
PATRICIA J. HEGLUND ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Forest Cover ◽  
Agricultural Land ◽  
Global Climate ◽  
Urban Land Use ◽  
Management Options ◽  
Ecological Processes ◽  
Species Invasions ◽  
Business As Usual

SUMMARYLand-use change around protected areas limits their ability to conserve biodiversity by altering ecological processes such as natural hydrologic and disturbance regimes, facilitating species invasions, and interfering with dispersal of organisms. This paper informs USA National Wildlife Refuge System conservation planning by predicting future land-use change on lands within 25 km distance of 461 refuges in the USA using an econometric model. The model contained two differing policy scenarios, namely a ‘business-as-usual’ scenario and a ‘pro-agriculture’ scenario. Regardless of scenario, by 2051, forest cover and urban land use were predicted to increase around refuges, while the extent of range and pasture was predicted to decrease; cropland use decreased under the business-as-usual scenario, but increased under the pro-agriculture scenario. Increasing agricultural land value under the pro-agriculture scenario slowed an expected increase in forest around refuges, and doubled the rate of range and pasture loss. Intensity of land-use change on lands surrounding refuges differed by regions. Regional differences among scenarios revealed that an understanding of regional and local land-use dynamics and management options was an essential requirement to effectively manage these conserved lands. Such knowledge is particularly important given the predicted need to adapt to a changing global climate.

Land-use change effects on biodiversity through mechanistic simulations: A case study with South-Asian mammals

2021 ◽  
Author(s):  
Andre P. Silva ◽  
Filip Thorn ◽  
Damaris Zurell ◽  
Juliano Cabral
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Mammalian Species ◽  
Biodiversity Loss ◽  
R Package ◽  
Conservation Strategies ◽  
Population Declines ◽  
Ecological Processes ◽  
Animal Populations ◽  
Land Use Scenarios

<p>Land-use change remains the main driver of biodiversity loss, and fragmentation and habitat loss are expected to lead to further population declines and species losses . We apply a recently developed R package for a spatially-explicit mechanistic simulation model (RangeShiftR), which incorporates habitat suitability, demographic as well as dispersal processes to understand temporal effects of land-use change (Land-use harmonization scenarios for the 1900-2100 period) on abundance and richness of mammalian species in South-Asia. We then compare land-use scenarios with and without protected areas to understand if current spatial conservation strategies are able to sustain viable populations independently of the land-use scenarios followed. Our approach is innovative in assessing how land-use scenarios can influence animal populations through underlying ecological processes.</p>

scholarly journals Local and Landscape Compositions Influence Stingless Bee Communities and Pollination Networks in Tropical Mixed Fruit Orchards, Thailand

Diversity ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 482
Author(s):  
Kanuengnit Wayo ◽  
Tuanjit Sritongchuay ◽  
Bajaree Chuttong ◽  
Korrawat Attasopa ◽  
Sara Bumrungsri
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Stingless Bees ◽  
Forest Cover ◽  
Stingless Bee ◽  
Wild Plants ◽  
Forest Patches ◽  
Fruit Orchards ◽  
Positive Direct ◽  
Landscape Level

Stingless bees are vital pollinators for both wild and crop plants, yet their communities have been affected and altered by anthropogenic land-use change. Additionally, few studies have directly addressed the consequences of land-use change for meliponines, and knowledge on how their communities change across gradients in surrounding landscape cover remains scarce. Here, we examine both how local and landscape-level compositions as well as forest proximity affect both meliponine species richness and abundance together with pollination networks across 30 mixed fruit orchards in Southern Thailand. The results reveal that most landscape-level factors significantly influenced both stingless bee richness and abundance. Surrounding forest cover has a strong positive direct effect on both factors, while agricultural and urbanized cover generally reduced both bee abundance and diversity. In the local habitat, there is a significant interaction between orchard size and floral richness with stingless bee richness. We also found that pollinator specialization in pollination networks decreased when the distance to the forest patch increased. Both local and landscape factors thus influenced meliponine assemblages, particularly the forest patches surrounding an orchard, which potentially act as a key reservoir for stingless bees and other pollinator taxa. Preservation of forest patches can protect the permanent nesting and foraging habitat of various pollinator taxa, resulting in high visitation for crop and wild plants.

Landscape level simulation of land use change

2008 ◽  
pp. 211-227 ◽  
Author(s):  
Peter H. Verburg ◽  
Martha Bakker ◽  
Koen P. Overmars ◽  
Igor Staritsky
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Landscape Level

scholarly journals Current challenges of implementing land-use and land-cover change in climate assessments

2016 ◽  
Author(s):  
Reinhard Prestele ◽  
Almut Arneth ◽  
Alberte Bondeau ◽  
Nathalie de Noblet-Ducoudré ◽  
Thomas A. M. Pugh ◽  
...  
Keyword(s):  
Land Use ◽  
Time Series ◽  
Land Use Change ◽  
Land Cover ◽  
Land Cover Change ◽  
Spatial Scales ◽  
Global Environmental Change ◽  
Implementation Strategies ◽  
Land Use Modeling ◽  
Global Environmental

Abstract. Land-use and land-cover change (LULCC) represents one of the key drivers of global environmental change. However, the processes and drivers of anthropogenic land-use activity are still overly simplistically implemented in Dynamic Global Vegetation Models (DGVMs) and Earth System Models (ESMs), whose published results are used in major assessments of processes and impacts of global environmental change such as the reports of the Intergovernmental Panel on Climate Change (IPCC). In the absence of coupled models of climate, land use and biogeochemical cycles to explore land use – climate interactions across spatial scales, information on LULCC is currently provided as exogenous data from the land-use change modules of Integrated Assessment Models (IAMs) to ESMs and DGVMs, while data from dedicated land-use change models (LUCMs) are rarely considered. In this article, we discuss major uncertainties and existing shortcomings of current implementation strategies originating in both LULCC data-provider and LULCC data-user communities. We identify, based on literature review and the analysis of empirical and modeled LULCC data, three major challenges related to LULCC representation, which are currently not or insufficiently accounted for: (1) provision of consistent, harmonized LULCC time series spanning from historical reconstructions to future projections while accounting for uncertainties due to different land-use modeling approaches, (2) accounting for sub-grid processes and bi-directional changes (gross changes) across spatial scales and (3) the allocation strategy of LULCC at the grid cell level in ESMs and DGVMs. Based on these three challenges, we discuss the reasons that hamper the development of implementation strategies that sufficiently account for uncertainties in the land-use modeling process and conclude that both providers and users of LULCC data products often miss appropriate knowledge of the requirements and constraints of one another’s models, thus leading to large discrepancies between the representation of LULCC data and processes in both communities. We propose to focus future research on the joint development and evaluation of enhanced LULCC time series, which account for the diversity of LULCC modeling and increasingly include empirically based information about sub-grid processes and land-use transition trajectories.

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