Urbanization strategies, rural development and land use changes in China: A multiple-level integrated assessment

This paper links urbanization strategies to changes in land use and associated impacts on rural communities and agro-ecosystems in a rural area of China. Energy, monetary and human time variables as well as information on environmental pressures, have been combined to compare different typologies of households and the metabolism of different patterns of land use from an integrated perspective. The results show that urbanization strategies, aimed at shifting the current land use and at displacing the local population, while increasing the economic efficiency is also associated with an increase in fossil energy consumption and environmental pressure, as well as a reduction of the multifunctional characteristic of the area under investigation. Based on these findings the paper also offers a critical discussion of the Chinese rural development policy arguing that the multifunctionality of rural areas should be taken into account by Chinese policy-makers and planners as a viable strategy to achieve rural development targets.     

Integrated assessment of cropping patterns under different policy scenarios in Quzhou County,North China Plain

Agricultural land use is affected by government policies and leads to different consequences of regional sustainability. In this work, changes in cropping patterns including acreage, cropping locations and management-related environmental impacts were simulated under various policy scenarios for Quzhou County, China. This county is in China's major agricultural region, the North China Plain. Four dominant crop systems were categorized (winter wheat/summer maize, winter wheat/summer maize/spring maize, cotton, and vegetables) and analyzed, following two alternative policy scenarios that either prioritized government funding to subsidize crop production (“subsidy” scenario) or promoted advanced irrigation techniques (“technique” scenario). Input–output coefficients for all four crop systems were determined, mainly irrigation demand, yield, and price of produce, but other factors like a limited area of arable land and scarce regional water resources were also considered. For the simulation, a LINDO Inc. system was linked with the CLUE (Conversion of Land Use and its Effects) model. Temporal changes of crop systems were simulated with the LINDO system, whereas spatial dynamics of cropping patterns were simulated with the CLUE model, based on land suitability maps. The results show that crop patterns changed variably with time under the two scenarios, and water availability was the primary constraint on sustainability of land use. Under the subsidy scenario, winter wheat/summer maize/spring maize became dominant across the entire county, replacing other crop systems. In contrast, the vegetable system gradually occupied farmland surrounding the township under the technique scenario. The different policies produced opposite consequences for regional sustainability. Although a “subsidy” policy contributed to farmers’ income, it did not encourage water conservation for sustainable crop production, leading to land abandonment because of water shortage. In contrast, the “technique” policy partially cut direct financial benefits to farmers, but promoted water conservation and made a substantial contribution to agricultural sustainability.     

Potential hazards of land policy: Conservation,rural development and fire use in the Brazilian Amazon

With growing awareness of fire hazard as an environmental threat within tropical rainforests, the state of Brazil initiated a set of fire control policies aimed at monitoring and ameliorating fire hazard in the Amazon region. These policies were developed in the aftermath of large-scale fire events and reflect a conservationist discourse that responded to internal as well as international environmental concerns. In doing so, the policies have framed the “fire problem” around those who use fire in their land use practices, in particular small-scale agriculturalists. Yet, land policy in general has repeatedly failed to address the institutional arrangements which compel small-scale farmers to use fire in their agricultural practices and the underlying development processes that have made the landscape more vulnerable to accidental spread of fire. Using regional level data on small-scale farmers, I suggest that the conservation oriented approach of fire policy may not be enough to curtail accidental fire events and instead that the fire issue needs to be positioned within rural development as well.     

Emerging amenity landscapes: Invasive weeds and land subdivision in rural Australia

Throughout history non-native invasive species have created environmental, economic, and social problems. Technological change, trade, and land system change are among the key factors in their spread and intensification. A recent global phenomenon holds the potential to exacerbate the invasive species problem: amenity migration, the subdivision of farm and grazing land, and the introduction of alternative land uses and management regimes by new rural residents. An Australian case study explores the subdivision of fine wool sheep ranches, the arrival of amenity migrants, and the impact on the management of one of the country's worst weeds, serrated tussock (Nassella trichotoma). Interviews with property owners, government officials, and members of the community-based conservation group, Landcare, expose cultural, institutional, and economic barriers to the control of the invasive grass. As the subdivision process leads to smaller properties and higher population densities it holds the potential to improve management of serrated tussock if the result is fewer livestock and more people to chemically and mechanically control the grass. But roughly 65% of the newcomers are part-time residents and absenteeism tends to result in weak efforts to manage the weed. In addition, regardless of their full-time/part-time status, most of the newcomers are ‘amenity” landholders whose cultural context and ideas about land and nature is diverse, and who do not seek their primary income from the land. Much of rural Australia now contains amenity landscapes, with weakened social capital, and a reduced capacity to coordinate a response to regional-scale environmental problems.     

Effects of payments for ecosystem services programs in China on rural household labor allocation and land use: Identifying complex pathways

Payments for Ecosystem Services (PES) is increasingly used in developing countries to secure the sustainable provision of vital ecosystem services. The largest PES programs in the world are embedded in China’s new forest policies, which aim to expand forest cover for soil and water conservation and improve livelihoods of rural people. The objective of this study is to identify the complex pathways of the impacts of two PES programs , the Conversion of Cropland to Forest Program (CCFP) and the Ecological Welfare Forest Program (EWFP), on household livelihood decisions, and to quantify the direct and indirect impacts along the identified pathways. We fulfill this objective by developing an integrated conceptual framework and applying a Partial Least Squares-Structural Equation Model (PLS-SEM), based on household survey data from Anhui, China. Labor allocation (for on-farm work, local paid work, local business, or out-migration) and land use decisions (i.e., rent in, maintain, rent out, or abandon cropland) for participating households are key to understand PES program effects on livelihoods. Results show that the PES programs have only small direct effects but significant indirect effects via the mediating factor of capital assets. Moreover, group heterogeneity analysis shows that lower-income households do not benefit more than the better-off households from the PES programs, while households with medium wealth increase dependence on agriculture. In addition, household demographics, individual attributes, and geographic settings differ in their impacts on labor allocation and land use decisions. We conclude that CCFP and EWFP would be more efficient in conserving the environment while improving the economic welfare of lower-income households if capital assets were taken into account in the design of compensation schemes.     

Effects of land urbanization and land finance on carbon emissions: A panel data analysis for Chinese provinces

The rapid urbanization in China comes with several economic, social, and environmental issues, most of which are related to land use. This study contributes to research on the land–growth–environment nexus by investigating the effect of land urbanization and land finance on carbon emissions in China from 2004 to 2013 using the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. Results show that land finance and land urbanization significantly affect carbon emissions. The rate of land urbanization contributes to the reduction of carbon emissions; however, it has less impact compared with other determinants. The effect of land finance and land urbanization on carbon emissions indicates that a local government’s willingness to lease land for revenue aggravates carbon emissions. Economic growth and industrial structure also influence carbon emissions. Furthermore, the land requisition system and rural land conversion market should be enhanced through the guidance provided by the 13th Five-Year Plan (2016–2020) to promote the diversification of land transfer, fully consider regional differences, and establish a distinct policy focus that can contribute to emission reduction and land use.     

Deforestation and land use change: sparse data environments

Understanding determinants of land use in developing countries has become a priority for researchers and policy makers with a wide range of interests. For the vast majority of these land use issues, the location of change is as important as its magnitude. This overview paper highlights new economic approaches to modeling land use determinants that combine non‐traditional data sources with novel economic models and econometric techniques. A key feature is that location is central to the analysis. All data elements include an explicit location attribute, estimation techniques include the potential for complications from spatial effects, and results are location‐specific. The paper reviews the theory underlying these models. Since this paper is intended to provide the potential new researcher with an introduction to the challenges of this analysis, we present an overview of how remotely‐sensed data are collected and processed, describe key GIS concepts and identify sources of data for this type of econometric analysis. Finally, selected papers using these techniques are reviewed.     

Multi-scale assessment and spatial modelling of agricultural land abandonment in a European peripheral region: Galicia (Spain), 1956-2004

The environmental, cultural and economic consequences of land use change, including abandonment of agricultural use, have been recognized for a long time. It has often been assumed that the transformations of the agricultural systems in developed countries (and particularly in Europe) took place, for the main part, in the immediate years after the Second World War. In this paper we present a review of different statistical and cartographic sources available for a peripheral region in Europe (Galicia, Spain) characterized by small-scale farming and a very fragmented property system, that suggests otherwise: modernization of agriculture apparently took place without major changes in agricultural area until the country gained access to the European Economic Community, and the effect of Common Agricultural Policy reforms during the decade of 1990 is suggested as a major driver for the net decrease of agricultural area in the region between 1956 and 2004. On the other hand, this paper emphasizes the spatial complexity of agricultural abandonment with a case study, showing a large degree of variability at municipal scale and thus the need of future EU-level projects to work at least at municipal (Local Administrative Units 2, LAU 2) level. Finally, a multinomial logistic model for observed changes is included that shows how biophysical limitations were the main drivers behind abandonment of agriculture at parcel scale, while structural qualities related to property structure were strongly associated to the incorporation of former shrublands to agricultural use. Besides, Farm Structure Surveys were revealed as an unreliable source for the assessment of changes in total agricultural area in the studied region.     

Socioeconomic drivers of forest loss and fragmentation: A comparison between different land use planning schemes and policy implications

Forest loss and fragmentation, which generate various negative environmental and ecological consequences, have become widespread phenomena across the globe. Motivation to investigate the underlying drivers is essential for land use planning and policy decision making. This paper characterizes forest loss and fragmentation from 1979 to 2014 in the Ningbo region (China) using multitemporal satellite imageries and a set of landscape metrics (area-weighted mean patch area, edge density, area-weighted shape index, Euclidean nearest neighbor distance, effective mesh size and total area); and then quantifies the responsible socioeconomic drivers (economy, social activities, science and technology, culture and policy, demography) under different land use planning schemes (urban and non-urban) using multivariate linear regression. Results show that the two zones present identical trend of intensifying forest loss and fragmentation but differ in changing magnitude and speed. More specifically, forest loss and fragmentation in the non-urban planning zone occurs at a significantly higher pace and magnitude. For the urban planning zone, population pressure, economic growth and fruit consumption are the primary drivers of forest loss, while forest fragmentation is mainly driven by economic openness, cash crop consumption and environmental protection consciousness. For the non-urban planning zone, income increases, fruit consumption and infrastructure development are the primary drivers of forest loss, while infrastructure and tourism development are the major drivers of forest fragmentation. Besides, forest loss and fragmentation in the two zones are both heavily subjected to land use policy. The variance partitioning analysis highlights that the policy driver is the most influential one and economic driver also has strong effect on forest loss and fragmentation in the urban planning zone. For the non-urban planning zone, the influence of policy driver is the strongest and social activity is also very powerful. These results provide compelling evidence that land use planning fails to play an efficient role in protecting forest resources in the Ningbo region. The failure should be attributed to several issues associated with land use planning and forestry governance that widely exist in China. We finally propose some pertinent implications and suggestions for China’s land use planning and forest policy. This study is believed to advance the understanding of the socioeconomic drivers of forest loss and fragmentation. It therefore provides some new insights in land use policy.     

The EU societal awareness of landscape indicator: A review of its meaning,utility and performance across different scales

There is increasing recognition that agricultural landscapes meet multiple societal needs and demands beyond provision of economic and environmental goods and services. Accordingly, there have been significant calls for the inclusion of societal, amenity and cultural values in agri-environmental landscape indicators to assist policy makers in monitoring the wider impacts of land-based policies. However, capturing the amenity and cultural values that rural agrarian areas provide, by use of such indicators, presents significant challenges. The EU social awareness of landscape indicator represents a new class of generalized social indicator using a top–down methodology to capture the social dimensions of landscape without reference to the specific structural and cultural characteristics of individual landscapes. This paper reviews this indicator in the context of existing agri-environmental indicators and their differing design concepts. Using a stakeholder consultation approach in five case study regions, the potential and limitations of the indicator are evaluated, with a particular focus on its perceived meaning, utility and performance in the context of different user groups and at different geographical scales. This analysis supplements previous EU-wide assessments, through regional scale assessment of the limitations and potentialities of the indicator and the need for further data collection. The evaluation finds that the perceived meaning of the indicator does not vary with scale, but in common with all mapped indicators, the usefulness of the indicator, to different user groups, does change with scale of presentation. This indicator is viewed as most useful when presented at the scale of governance at which end users operate. The relevance of the different sub-components of the indicator are also found to vary across regions.     

Impact of local payments for ecosystem services on land use in a developed area of China: A qualitative analysis based on an integrated conceptual framework

Payments for ecosystem services (PES) have increasingly been applied as economic incentives for improving ecosystem services around the world. However, due to difficulties in measuring and attributing ecosystem services provisioning, a land-based approach has been popularly adopted as a proxy for the desired ecosystem services. In this study, we demonstrate the impact mechanism and outcomes of locally financed PES programs on conservation-based land use in a developed area of China. We present this work using a PES-land use proxy framework that is examined empirically through a variety of qualitative assessments. Our framework illustrates that, within the ecological, socioeconomic, and institutional conditions of developed areas, land use class, pattern and function would be impacted by (a) conservation effect, (b) stakeholder response, and (c) institutional adaptation mechanisms of local PES programs, with multiple land use trends as potential outcomes. We examine the framework using materials from Suzhou, China, which has implemented a top-down, partly involuntary (ecosystem services supply side), land based PES program. Our results show that, expected land use class, land use pattern and land use function are observed in areas where the PES programs were implemented. We also find that the conditions of developed areas and locally financed payments mechanism indeed played a crucial role in promoting conservation-based land use in Suzhou.     

Determinants of crop-livestock integration in Brazil: Evidence from the household and regional levels

Integrated crop-livestock systems (iCL) are advocated as a promising strategy to increase agricultural production and rehabilitate degraded pastures while mitigating GHG emissions. Although iCL in Brazil has increased over the past few years, it still occupies a small share of the country’s total agricultural area. We investigate the determinants of iCL occurrence in Mato Grosso state, a globally important producer of beef cattle and grains that has experienced rapid land cover change and environmental degradation in recent decades. Our analysis encompasses two typical cases of iCL in Mato Grosso (the rotation of soy followed by pasture, and soy followed by maize and pasture) as well as biophysical, socioeconomic, and institutional factors observable at the household and/or municipality levels that may influence the wide-scale occurrence of iCL. Evidence at both scales suggests that knowledge and supply chain infrastructure play an important role in early occurrence of iCL, as they are more common in regions closer to iCL research stations and processing facilities of grains and cattle. On average iCL adopters are more educated and have better access to technical assistance and sector information than specialized farmers or ranchers. Most iCLs are concentrated near established soy areas and greater similarity exists between municipalities with iCL and soy-dominant municipalities vs. pasture-dominant municipalities. Our findings reveal the importance of specific conditions for iCL occurrence and iCL promotion in livestock-dominant regions. Incentives targeted at ranchers are crucial for the achievement of the Brazilian Government’s goal to restore degraded pastures through agricultural intensification.     

Community-based rural residential land consolidation and allocation can help to revitalize hollowed villages in traditional agricultural areas of China: Evidence from Dancheng County,Henan Province

The accelerated rural hollowing driven by vast and increasing out-migration of rural labors under urban–rural dual-track system has imposed huge obstacles on improving land use efficiency and coordinating urban–rural development in China. Taking Dancheng County in Henan Province as an example, this paper analyzes the status quo of rural hollowing and discusses two typical rural residential land consolidation and allocation (RRLCA) practices in traditional agricultural areas (TAAs) of China. The results show that, Dancheng experienced rapid rural hollowing characterized as the hollowing of rural industries, infrastructure, and residential population and settlements. However, Dancheng has considerable potential and the necessity of RRLCA, for the model-based estimation shows that the potential of increasing farmland by carrying out RRLCA was about 5649 ha. The two community-based RRLCA practices show positive effects on the improvement of local living conditions, increment of farmland area and development of rural industries. Their experiences, including self-organized rural planning, democratic decision-making, and endogenous institutional innovation may benefit future RRLCA. Overall, it indicates that promoting community-based RRLCA scientifically according to local conditions could provide an integrated platform for increasing farmland area, developing modern agriculture, promoting new countryside construction, and thus revitalize hollowed villages. On considering the limitations and obstacles of current initiatives, suggestions for future RRLCA in rural China have been put forward.     

Socio-economic and biophysical determinants of land degradation in Vietnam: An integrated causal analysis at the national level

Recognizing the socio-economic and biophysical causes of land degradation at the national level is important for cause-targeted strategies when designing policies for combating land degradation. This study aims to identify the biophysical and socio-economic factors that significantly affect land degradation across Vietnam and to interpret the causalities underlying the effects. The dependent variables considered in the study are spatial, the extent and intensity of degradation in three land-use zones (agriculture, forest and severely degraded abandonment). The hypothesized explanatory variables are common economic and demographic drivers and bio-physical factors such as soil, terrain constraints, and neighborhood land-use structures that are often neglected in many large-scale land degradation assessments. Instead of using a single inferential statistic technique, we used multi-linear regression and binary logistic regression in a complementary manner to increase the detectability and credibility of the degradation cause analyses. The results showed agricultural production growth had strong and consistent effects on land degradation extent and intensity. Population growth, especially in rural areas, had a strong effect on the extent of overall land degradation. The importance of a neighboring forest was revealed for its ability to reduce land degradation intensity in abandoned, unproductive lands. The concrete faceting of the causal analysis for each land-use zone as social–ecological stratum allowed us to combine the defined social–ecological contexts, contemporary theories, and hypotheses in the field to clarify the causal factors of a complex phenomenon like land degradation. The study demonstrates these contemporary inferential statistics can be complementarily used to sufficiently detect and understand land degradation causes at the national level. The results suggest implications for national land management policy: internalizing land degradation costs in the farming system evaluation for payment for ecosystem services policy, restricting forest conversion, and improving extension services and education in agrarian communities.     

Progress in indicators to assess agricultural landscape valuation: how and what is measured at different levels of governance

Landscape is defined by the European Landscape Convention as “an area perceived by people, whose character is the result of the action and interaction of natural and/or human factors”. Many efforts have been devoted in addressing the core concepts on which this definition roots: perception and interaction of men and nature, but when coming to large (continental) scale assessments, the latter prevail on the former.This paper aims at presenting a framework for a measurable landscape awareness indicator as a key link to the public demand for a specific type of landscape: the agricultural landscape. This is a necessary effort to complement more physically based assessments, which include as well the impact of human activities on landscapes.The analysis is carried out at different levels of governance: EU and regional, using an example from the Alentejo region in Portugal and EU wide databases, and addresses conceptual and practical questions: what type of societal landscape awareness can be monitored and by whom (e.g., individuals, specific social groups, society as a whole); what are the landscape dimensions that should be assessed; what are the limitations imposed by data-related constraints. By applying the methodology to build composite indicators to map landscape societal awareness, the paper shows the regional and local meaning of indicator approaches developed at European level, presents developments for downscaling to regional level, while introducing the social component to support sound policy development for European rural landscapes.     

Industrial land use planning and the growth of knowledge industry: Location pattern of knowledge-intensive services and their determinants in the Seoul metropolitan area

As the industrial structure is reorganized from manufacturing to one that is knowledge-based, the knowledge-intensive service (KIS) industry has grown steadily. Since KIS industries make a significant contribution to regional competitiveness through innovative activities, it is important to examine what factors determine their location. Since KIS industries reportedly concentrate in and around large cities, wherein the land price is high and vacant land is scarce, land use planning is expected to play an important role in the location of KIS. Therefore, this study analyzes the location patterns of the KIS industry and the factors contributing to the industry’s growth in the Seoul metropolitan area, with a focus on land use planning. According to the result, KIS industries tend to locate in traditional KIS centers in downtown Seoul and new centers around Seoul. While the growth of KIS workers in the traditional KIS centers was stagnant, that in the new centers was much higher. Concerning the factors that affect the growth of KIS employment, the factors related to land use planning significantly influenced the growth of KIS activities. Among them, semi-industrial zone and housing site development areas were influential due to the exclusion of residential land use and land use regulation changes that allowed the development of the knowledge industry center. This shows that exclusionary land use control and flexible measures should be properly applied to accommodate new industrial demands and create space for urban employment.     

Biophysical and socioeconomic determinants of tea expansion: Apportioning their relative importance for sustainable land use policy

Tea expansion, a typical process of regional land use and cover change (LUCC), has raised great concerns on regional sustainability. In this regard, exploring the determinants of tea expansion should provide critical implications for land use policy. It has been widely recognized that LUCC interacts nonlinearly with a set of determinants and their feedbacks should be rather complex. Policy makers are now facing the challenge to identify, apportion, and compare the determinants of regional tea expansion for designing more targeted political intervenes. Our paper utilizes a robust tool, the random forest (RF) regression in particular, to explore the determinants of tea expansion across two periods (1985–2007 and 2007–2016) in Anji County, a typical region of tea production in subtropical China. More specifically, tea is extracted from Landsat imageries and total tea cultivated area acts as the dependent variable. Exploratory variables include 38 potential determinants and these determinants are divided into two categories (biophysical and socioeconomic) at two levels (pixel and village). We obtain some similar findings, though the relative importance of determinants varies with the two periods. In general, biophysical determinants (e.g., topography, soil type, land use in the neighborhood) present greater relative importance than the socioeconomic determinants in both periods. In period 1985–2007, biophysical determinants at pixel level are more essential in governing tea expansion. In period 2007–2016, the relative importance of pixel level biophysical determinants is comparable with that of the village level determinants. Comparisons of the two periods indicate that relative importance of soil type and socioeconomic proximity becomes greater in period 2007–2016, while that of the total employees and non-agricultural population proportion becomes lower. Partial dependency plots are further drawn to visualize the marginal effect of each determinant. We finally propose three options for land use policy towards sustainability. Our study demonstrates that the RF regression is efficient for policy makers to understand the determinants of tea expansion with a nonlinear and complex nature.     

Determinants of cropland abandonment at the parcel,household and village levels in mountain areas of China: A multi-level analysis

Cropland abandonment accompanying economic development has been observed worldwide. China has experienced a large amount of land abandonment in recent years. However, the reasons for it are not entirely clear. Although abandonment decisions are made by individual households, the underlying conditions reflect processes operating at multiple levels. Therefore, we aimed to detect the influences on land abandonment at the parcel, household and village levels. We developed and employed a multi-level statistical model using farm household survey data and geographical maps of Wulong County. Our model revealed that of the variance in occurrence of land parcel abandonment, 7% and 13% can be explained at the household and village levels, respectively, while the remnant 80% can be explained at the land parcel features itself. We found that land abandonment is more prone to occur on parcels that are on steep slopes, have poor quality soil, or are remote from the laborers’ residences. Households with less agricultural labor per unit land area showed a high probability of land abandonment. We also found a nonlinear influence of labor age on land abandonment, with households comprising middle-aged laborers having a low land abandonment probability. Parcels in villages with high elevation, far from the county administrative center or with low prevalence of leased land are inclined to abandonment. We also found, surprisingly, that the household proportion of males among its agricultural laborers did not significantly influence the occurrence of land abandonment at the parcel level, probably due to the male agricultural laborers being overwhelmingly old (average age greater than 56 years). To alleviate land abandonment, we suggest improving land tenure and transfer security to ensure stable access to the land rental market, and also improving infrastructure in remote regions.     

An analysis of green infrastructure in municipal policy: Divergent meaning and terminology in the Greater Toronto Area

The concept of green infrastructure has been rapidly adopted by several disciplines and is increasingly appearing in policy discussions. While the use of the term has recently expanded, there is no single definition of green infrastructure. To date most of the research examining green infrastructure in policy has occurred in Europe and the US, and to a lesser extent Asia, highlighting differences in the term’s meaning between these regions. Green infrastructure has also recently become part of policy discourse in Canada, but it is unclear how widespread its use is or how it is being defined in a Canadian policy context. This study examines inclusion of the term ‘green infrastructure’, and the broader ideas it represents, in municipal policy through a content analysis of 81 municipal plans from the 25 municipalities in the Greater Toronto Area (Ontario, Canada). Examined plans includes those addressing land use, urban forests, stormwater and other relevant sectors. We found that the term appears in 30 % of the examined municipal plans, with three distinct definitions used: living green infrastructure, non-living green infrastructure and ‘greening’ gray infrastructure. Closely related terms (e.g., low impact development) and incorporation of the concept of green infrastructure without using the specific term are more common than direct references to green infrastructure. The variety of terminology and definitions incorporated into the municipal plans raise questions about potential confusion around basic policy goals associated with green infrastructure.     

The connection between fisheries resources and spatial land use change: The case of two New England fish ports

This study examined interactions between targeted fish populations, aspects of the fishing industry and land use changes along two ports in New England. By tracking changes in land uses over a two-decade period using parcel level data and geographic information system (GIS) tools, we examined the relationship of changes in species biomass, landings and other fishing industry variables to community spatial change. Using logistic regression models we assessed the impacts on essential infrastructure for continued fishing industry activity. Our findings have implications for land use policy that should accompany efforts being made to rehabilitate fish stocks; it should ensure that current marine infrastructure will remain in place to support the fishing industry if and when species rebound. Our models show that in New Bedford Harbor, the larger of the two ports, increasing scallop biomass (considered a long-term factor) is associated with the increase of marine-related land uses. In Provincetown Harbor, short-term factors, such as value and volume of fish landings as well as stock sizes, influence land use change. These findings suggest that the smaller port (Provincetown) is more vulnerable to market conditions and therefore in need of greater land use controls to prevent the conversion of marine-related uses. We propose some directions for further research and present the methodology used as one that can be applied to research questions of a similar nature.