The transparency,reliability and utility of tropical rainforest land‐use and land‐cover change models

Land‐use and land‐cover (LULC) change is one of the largest drivers of biodiversity loss and carbon emissions globally. We use the tropical rainforests of the Amazon, the Congo basin and South‐East Asia as a case study to investigate spatial predictive models of LULC change. Current predictions differ in their modelling approaches, are highly variable and often poorly validated. We carried out a quantitative review of 48 modelling methodologies, considering model spatio‐temporal scales, inputs, calibration and validation methods. In addition, we requested model outputs from each of the models reviewed and carried out a quantitative assessment of model performance for tropical LULC predictions in the Brazilian Amazon. We highlight existing shortfalls in the discipline and uncover three key points that need addressing to improve the transparency, reliability and utility of tropical LULC change models: (1) a lack of openness with regard to describing and making available the model inputs and model code; (2) the difficulties of conducting appropriate model validations; and (3) the difficulty that users of tropical LULC models face in obtaining the model predictions to help inform their own analyses and policy decisions. We further draw comparisons between tropical LULC change models in the tropics and the modelling approaches and paradigms in other disciplines, and suggest that recent changes in the climate change and species distribution modelling communities may provide a pathway that tropical LULC change modellers may emulate to further improve the discipline. Climate change models have exerted considerable influence over public perceptions of climate change and now impact policy decisions at all political levels. We suggest that tropical LULC change models have an equally high potential to influence public opinion and impact the development of land‐use policies based on plausible future scenarios, but, to do that reliably may require further improvements in the discipline.     

克里雅河中游土地利用/覆被与景观格局变化研究

干旱内陆河流在维系绿洲形成与发展,连接干旱区绿洲各类生态子系统中具有举足轻重的作用。以克里雅河中游为研究区,基于遥感影像分析了1995年、2005年和2015年3个时期的土地利用/覆被与景观格局变化特征,采用缓冲区分析法,揭示了土地利用/覆被与景观格局的时空变化特征,用土地覆被转移指数模型计算了土地利用转移方向。研究结果表明:1)1995—2015年,克里雅河中游耕地持续增加,草地和水体呈减少趋势,耕地增加和水体减少主要发生在河道附近,草地退化在绿洲边缘较严重。在河道附近,耕地主要由水体和草地转入,水体主要转出到耕地,而在绿洲边缘草地主要转出为其他用地;2)从景观水平看,研究区整体景观具有破碎化趋势,景观多样性降低,分离度变大,整个景观向均匀化发展,此变化在河道附近和绿洲边缘较明显。从类型水平看,耕地斑块数量持续增加,有向连片生成的趋势。草地斑块分离度越来越大,逐渐失去了在绿洲中的优势。水体有破碎化趋势;3)从土地转移指数看,研究区土地覆被总体变差;河道附近土地覆被经历了退化-改善的变化过程,而其他缓冲带则是持续退化,尤其绿洲边缘退化程度最为严重。     

Land use and land cover change and its impacts on dengue dynamics in China: A systematic review

BackgroundDengue is a prioritized public health concern in China. Because of the larger scale, more frequent and wider spatial distribution, the challenge for dengue prevention and control has increased in recent years. While land use and land cover (LULC) change was suggested to be associated with dengue, relevant research has been quite limited. The “Open Door” policy introduced in 1978 led to significant LULC change in China. This systematic review is the first to review the studies on the impacts of LULC change on dengue dynamics in China. This review aims at identifying the research evidence, research gaps and provide insights for future research.MethodsA systematic literature review was conducted following the PRISMA protocol. The combinations of search terms on LULC, dengue and its vectors were searched in the databases PubMed, Web of Science, and Baidu Scholar. Research conducted on China published from 1978 to December 2019 and written in English or Chinese was selected for further screening. References listed in articles meeting the inclusion criteria were also reviewed and included if again inclusion criteria were met to minimize the probability of missing relevant research.Results28 studies published between 1978 and 2017 were included for the full review. Guangdong Province and southern Taiwan were the major regional foci in the literature. The majority of the reviewed studies observed associations between LULC change factors and dengue incidence and distribution. Conflictive evidence was shown in the studies about the impacts of green space and blue space on dengue in China. Transportation infrastructure and urbanization were repeatedly suggested to be positively associated with dengue incidence and spread. The majority of the studies reviewed considered meteorological and sociodemographic factors when they analyzed the effects of LULC change on dengue. Primary and secondary remote sensing (RS) data were the primary source for LULC variables. In 21 of 28 studies, a geographic information system (GIS) was used to process data of environmental variables and dengue cases and to perform spatial analysis of dengue.ConclusionsThe effects of LULC change on the dynamics of dengue in China varied in different periods and regions. The application of RS and GIS enriches the means and dimensions to explore the relations between LULC change and dengue. Further comprehensive regional research is necessary to assess the influence of LULC change on local dengue transmission to provide practical advice for dengue prevention and control.     

Land use/cover change and its drivers: a case in the watershed of Lake Kasumigaura, Japan

Land use/land cover (LULC) changes in the watershed (2,157 km²) of Lake Kasumigaura during 1979–1996 (Period-1: 1979–1990, Period-2: 1990–1996) were analyzed, and their socio-economic and biophysical drivers were compared using time-series, high-quality GIS datasets in order to examine the characteristics of a model forecasting the future LULC. The changes occurred over an area of more than 90 km² during the overall period at changing rates of 0.22% year⁻¹ in Period-1 and 0.25% year⁻¹ in Period-2. Forestland decreased most in both periods at changing rates of 0.45% year⁻¹ in Period-1 and 0.61% year⁻¹ in Period-2. However, predominant changing patterns differed, i.e., from forest to golf course in Period-1 and from forest to artificial field in Period-2. Particularly in Period-2, a significant LULC change was observed in an area of high population increase on the edge of an already high-population area. Relationships examined among LULC change, population, and rate of population change suggested that the urbanized area was highly resistant to LULC change, and that such change was less frequent in areas of population decline. Statistical analyses indicated that the most influential drivers for total LULC changes were population in Period-1 and distance from the Tokyo Station in Period-2. Since the change potentials differed between the periods, we could not assume a stationary process for the corresponding drivers. Somewhat low S values (indices for demonstrability) show that LULC changes in the watershed of Lake Kasumigaura occurred rather randomly, probably resulting in fragmentation of the landscape.     

Human activities directly alter watershed dissolved silica fluxes

Controls on chemical weathering, such as bedrock geology, runoff, and temperature, are considered to be the primary drivers of Si transport from the continents to the oceans. However, recent work has highlighted terrestrial vegetation as an important control over Si cycling. Here we show that at the regional scale (Southern New England, USA), land use/land cover (LULC) is an important variable controlling the net transport of Si from the land to the sea, accounting for at least 40% of dissolved Si (DSi) fluxes. A multiple linear regression model using average DSi fluxes from 25 rivers (>2,300 observations) shows the percent forest cover, as well as development and agricultural land use, to be significant (p < 0.05) drivers of DSi flux. This was true regardless of watershed size and lithology. Furthermore, forest cover is significantly negatively correlated, while development is significantly positively correlated, with Si concentrations and fluxes. We hypothesize that these relationships are due to several mechanisms, specifically the ability of terrestrial vegetation to store large amounts of Si within its biomass, the altered watershed hydrology that accompanies LULC change, and the capability of urban regions to serve as sources of Si to aquatic systems. Thus, we conclude that anthropogenic activities may be directly perturbing the global Si cycle through land use change and we offer a conceptual model which highlights a new approach to understanding the non-geochemical controls on Si fluxes.     

地市尺度气候调节服务评估——以福州市为例

生态系统服务是衔接生态系统功能和人类福利的桥梁,气候调节服务在生态系统服务中占有极其重要的地位。对气候调节服务发生的全过程进行评估,对科学开展生态系统服务评估具有重要意义。本研究以福州市为案例,开展地市尺度气候调节服务评估,分析气候调节服务在行政单元、地类尺度上的时空变化特征。结果表明: 2015、2018年,福州市气候调节服务总实物量分别为4.01×10¹² MJ(价值量6139.44亿元,GDP为5618.08亿元)和4.66×10¹² MJ(价值量7140.02亿元,GDP为7856.81亿元),气候调节服务价值大致与当年GDP相当。主要的土地利用/覆被类型是森林、耕地、水域,分别占福州市国土面积的57%、15%和9%;水域对福州市气候调节服务贡献最大,2018年贡献度超过60%,高于林地(12%)及耕地(13%)。建成区、东部农耕区域气候调节服务价值较低。2015、2018年,福州市土地利用/覆被变化面积为1805.5 km²,变化最大的用地类型是耕地、林地,主要的土地利用转移方向是耕地与林地、林地与园地、耕地与城镇村及工矿用地之间的转化;气候调节服务总实物量变化了6.74×10¹¹ MJ,相应的价值变化量为1035.8亿元;气候调节服务变化集中在闽侯、闽清、永泰等中西部地区,以及罗源、福清等西部山区;水域的气候调节服务变化最剧烈,水域类型转化会产生极为强烈的气候调节服务变化,远高于其他用地类型转换的效果。     

The ecological condition of geographically isolated wetlands in the southeastern United States: The relationship between landscape level assessments and macrophyte assemblages

Geographically isolated wetlands (GIWs) are common features of the Dougherty Plain physiographic region in southwestern Georgia. Due to lack of protection at the state and federal levels, these wetlands are threatened by intensive agricultural and silvicultural land uses common in the region. Recently, the ecological condition of such GIWs was assessed for the southeastern United States using the Landscape Development Intensity Index (LDI), a practical assessment tool that relies on remotely sensed land use and land cover (LULC) data surrounding isolated wetlands to rapidly predict wetland condition. However, no assessments have been attempted for GIWs in the Dougherty Plain specifically. Our goal was to develop a framework to guide and refine remote assessment of wetland condition within this agriculturally intense region of the southeastern USA. In this study, we characterized human disturbances associated with isolated wetlands in the Dougherty Plain, and paired the rapid assessment of GIWs using LDI with an intensive assessment of wetland plant communities. Specifically, we: (1) examined how macrophyte assemblages and vegetation metrics vary across a human disturbance gradient in the Dougherty Plain; (2) compared multiple condition assessment outcomes using variations of the LDI method that differed in spatial extent and resolution of LULC categories; and (3) determined the predicted condition of GIWs in the Dougherty Plain as indexed by LDI and compared with region-wide assessments of GIWs of the southeastern USA. Generally, the relationship between wetland plant communities and surrounding land use supported the assumptions of the LDI index in that wetlands surrounded by agricultural land use classes featured distinct plant communities relative to those surrounded by forested land use classes. Our results indicated that finer spatial resolution of LULC data improved the predictive ability of LDI. However, based on incongruence between wetland vegetation composition and LDI scores in some forested landscapes, this study identified limitations of the LDI assessment method, particularly when applied in regions in which prescribed fire is an important ecological driver of vegetation and habitat. Thus, we conclude that LDI may be biased toward an overestimation of reference condition GIWs, even though the habitat may be functionally degraded by the absence of natural processes such as fire. Regardless, relative to the assessment of the entire southeastern US, a greater proportion of total GIWs of the Dougherty Plain were identified as impaired due to the intensity of irrigated agricultural land use.     

环渤海沿海地区土地承载力时空分异特征

沿海地区是中国未来社会经济发展的重点区域,近年来沿海地区人地矛盾越来越突出,研究沿海地区土地承载力具有重要意义。针对以往评价中的不足,采用韦伯-费希纳定律确定指标评价标准;利用D-S证据理论进行主客观综合权重的计算,运用可变模糊集理论及模型对土地承载力进行综合评价,并以环渤海沿海地区进行实例分析。研究结果表明,2000—2011年,环渤海地区土地承载力整体呈持续上升趋势,但空间分布差异显著,天津、唐山、大连、盘锦、青岛、烟台、东营、威海土地承载力相对较高,锦州、营口、秦皇岛、滨州、潍坊、日照属于中等水平,沧州、丹东、葫芦岛四市土地承载力相对较低。可变模糊评价模型应用于土地承载力评价,计算简便,可操作性强,评价结果可信度高。     

晋北地区土地利用覆被格局的演变与模拟

区域土地利用覆被变化及未来发展情景对区域土地管理和可持续发展具有重要意义。以地处农牧交错带、土地利用覆被变化剧烈的晋北地区为研究区,获取其2010、2015年的土地利用覆被(Land use/land cover,LULC)数据,选取高程、人口、经济、气温、降水等9种影响因素作为驱动因子,采用CLUE-S模型拟合研究区2015年的土地覆被格局并判断拟合精度,在此基础上,分别设置了3种社会经济发展情景,模拟这些情景下研究区2020年的土地利用覆被格局演变。结果表明:1)晋北地区土地利用覆被以耕地、林地和草地为主,各类型土地主要呈西北斜向的条带状分布;2)Logistic回归模型可以很好地提取LULC与驱动因子之间的关系,反映不同的驱动因素对不同的土地利用类型分布格局的影响效果及程度;3)CLUE-S模型在晋北地区土地利用覆被格局的拟合上有较好的精度,模拟Kappa系数值达0.89,表明该模型能够很好地模拟晋北地区的土地利用覆被;4)情景模拟结果表明,研究区生态保护情景(c)下的土地利用覆被格局明显优于维持现状情景(a)和经济优先情景(b),建议在未来土地开发利用过程中,应当减缓工矿用地增加速度,严格控制建设用地规模,优化土地利用格局。     

The interplay of climate and land use change affects the distribution of EU bumblebees

Bumblebees in Europe have been in steady decline since the 1900s. This decline is expected to continue with climate change as the main driver. However, at the local scale, land use and land cover (LULC) change strongly affects the occurrence of bumblebees. At present, LULC change is rarely included in models of future distributions of species. This study's objective is to compare the roles of dynamic LULC change and climate change on the projected distribution patterns of 48 European bumblebee species for three change scenarios until 2100 at the scales of Europe, and Belgium, Netherlands and Luxembourg (BENELUX). We compared three types of models: (1) only climate covariates, (2) climate and static LULC covariates and (3) climate and dynamic LULC covariates. The climate and LULC change scenarios used in the models include, extreme growth applied strategy (GRAS), business as might be usual and sustainable European development goals. We analysed model performance, range gain/loss and the shift in range limits for all bumblebees. Overall, model performance improved with the introduction of LULC covariates. Dynamic models projected less range loss and gain than climate‐only projections, and greater range loss and gain than static models. Overall, there is considerable variation in species responses and effects were most pronounced at the BENELUX scale. The majority of species were predicted to lose considerable range, particularly under the extreme growth scenario (GRAS; overall mean: 64% ± 34). Model simulations project a number of local extinctions and considerable range loss at the BENELUX scale (overall mean: 56% ± 39). Therefore, we recommend species‐specific modelling to understand how LULC and climate interact in future modelling. The efficacy of dynamic LULC change should improve with higher thematic and spatial resolution. Nevertheless, current broad scale representations of change in major land use classes impact modelled future distribution patterns.     

Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes

This study aimed to enhance land use and land cover (LULC) change models by addressing their main limitations, which include the lack of accountability and temporal stability of driving forces. Additionally, the study aimed to create area-based scenarios to forecast future LULCs, rather than solely relying on distribution-based scenarios. To accomplish this goal, the study developed a coupled System Dynamics (SD) and Cellular Automata (CA) modeling system to simulate possible LULC changes in the Gavkhooni Basin, central Iran. The study utilized LULC maps from Landsat images in 2001, 2011, and 2021 to analyze spatio-temporal land use changes in the region. Agricultural and residential transition suitability layers were produced using a spatial Multi-Criteria Evaluation procedure and applied to inform the CA model in the proper allocation of LULC changes. Three interconnected water supply, agricultural, and residential area projection subsystems were developed using system dynamics method to determine land requirements for LULC conversions from 2020 to 2041, taking into account factors such as water availability, land suitability, agricultural labor force, and economic development. Ten scenarios were developed based on changes in the key variables affecting the limiting factors, such as climatic conditions and water management policies, to project agricultural and residential areas in the future. The CA's spatial allocation informed by transition suitability layers was found to be satisfactory with a Kappa-location value of 0.85. The subsystems were competent in projecting water supply with Mean Absolute Error (MAE) values of 6.57% and the dynamics of agricultural and residential areas with MAE values of 2.94%, whereas those of the Markovian Chain model were found to be 23.02% and 7.5% for agricultural and residential areas, respectively. The study found that available agricultural areas varied significantly between 86.53 and 1480 sq.km under different climatic conditions, irrigation efficiency, and agricultural water assignment coefficients between 2024 and 2033. Residential area demand was found to be increasing with different rates under the scenarios between 47.40 and 73.01 sq.km. The SD-CA coupled framework presented in this research can be viewed as a decision support system to develop compensatory strategies for better management and planning of agricultural and residential lands.     

基于多源遥感信息融合的广东省土地利用分类方法——以雷州半岛为例

准确高效的获取土地利用信息对生态环境评价非常重要。广东省地处华南热带和亚热带季风气候区,经济作物种类繁多,土地覆盖破碎,为土地利用精确分类带来很大不确定性,而常年多云雨的天气也为有效光学影像的获取带来困难。为提高土地覆盖分类精度,以雷州半岛为实验区,综合应用Landsat-TM/ETM、多时相HJ光学影像,以及X波段Terra SAR数据,通过分析不同地物类型在光谱、极化以及多时相特征上的差别,对原始图像进行特征提取。在此基础上融合多源遥感信息的地物特征运用面向对象土地覆盖分类方法获取研究区高精度的土地利用信息。结果显示这一方法能有效提高土地覆盖利用信息获取精度,为研究生态环境变化提供更准确的数据支持。     

A Land System representation for global assessments and land‐use modeling

Current global scale land‐change models used for integrated assessments and climate modeling are based on classifications of land cover. However, land‐use management intensity and livestock keeping are also important aspects of land use, and are an integrated part of land systems. This article aims to classify, map, and to characterize Land Systems (LS) at a global scale and analyze the spatial determinants of these systems. Besides proposing such a classification, the article tests if global assessments can be based on globally uniform allocation rules. Land cover, livestock, and agricultural intensity data are used to map LS using a hierarchical classification method. Logistic regressions are used to analyze variation in spatial determinants of LS. The analysis of the spatial determinants of LS indicates strong associations between LS and a range of socioeconomic and biophysical indicators of human‐environment interactions. The set of identified spatial determinants of a LS differs among regions and scales, especially for (mosaic) cropland systems, grassland systems with livestock, and settlements. (Semi‐)Natural LS have more similar spatial determinants across regions and scales. Using LS in global models is expected to result in a more accurate representation of land use capturing important aspects of land systems and land architecture: the variation in land cover and the link between land‐use intensity and landscape composition. Because the set of most important spatial determinants of LS varies among regions and scales, land‐change models that include the human drivers of land change are best parameterized at sub‐global level, where similar biophysical, socioeconomic and cultural conditions prevail in the specific regions.     

Effects of Land Use on Lake Nutrients: The Importance of Scale,Hydrologic Connectivity,and Region

Catchment land uses, particularly agriculture and urban uses, have long been recognized as major drivers of nutrient concentrations in surface waters. However, few simple models have been developed that relate the amount of catchment land use to downstream freshwater nutrients. Nor are existing models applicable to large numbers of freshwaters across broad spatial extents such as regions or continents. This research aims to increase model performance by exploring three factors that affect the relationship between land use and downstream nutrients in freshwater: the spatial extent for measuring land use, hydrologic connectivity, and the regional differences in both the amount of nutrients and effects of land use on them. We quantified the effects of these three factors that relate land use to lake total phosphorus (TP) and total nitrogen (TN) in 346 north temperate lakes in 7 regions in Michigan, USA. We used a linear mixed modeling framework to examine the importance of spatial extent, lake hydrologic class, and region on models with individual lake nutrients as the response variable, and individual land use types as the predictor variables. Our modeling approach was chosen to avoid problems of multi-collinearity among predictor variables and a lack of independence of lakes within regions, both of which are common problems in broad-scale analyses of freshwaters. We found that all three factors influence land use-lake nutrient relationships. The strongest evidence was for the effect of lake hydrologic connectivity, followed by region, and finally, the spatial extent of land use measurements. Incorporating these three factors into relatively simple models of land use effects on lake nutrients should help to improve predictions and understanding of land use-lake nutrient interactions at broad scales.     

1980—2018年祁连山南坡土地利用变化及其驱动力

祁连山是我国第一阶梯和第二阶梯的分界线,生态环境脆弱,对过渡地带土地利用变化及其驱动力研究具有重要的生态意义。本研究以祁连山南坡为研究区,基于1980—2018年遥感影像数据,运用空间自相关分析法、ArcGIS空间分析方法和主成分分析法分析了土地利用的时空变化特征及其驱动力。结果表明: 1980—2018年,草地是研究区土地利用类型的主体,建设用地所占比重最小,水域、草地表现为下降趋势,未利用土地、建设用地和耕地均呈现出增长态势,林地变化较小。不同地类单一土地利用动态度从大到小依次为:建设用地＞水域＞耕地＞未利用土地＞林地＞草地,综合土地利用动态度为0.9%。不同土地利用类型空间分布表现出空间集聚性特征。耕地增加的区域和林地、草地减少的区域主要分布在门源县城所处大通河谷地西北侧,天峻县东北部大通河上游地区存在工矿建设用地占用草地的现象。土地利用变化驱动力主要为人口数量、科技、城市化、经济发展水平和政策。本研究结果可为政府合理规划和利用土地资源提供依据,对祁连山南坡生态环境保护和社会经济可持续发展具有重大意义。     

Spatial Analysis of Anthropogenic Landscape Disturbance and Buruli Ulcer Disease in Benin

Background

Land use and land cover (LULC) change is one anthropogenic disturbance linked to infectious disease emergence. Current research has focused largely on wildlife and vector-borne zoonotic diseases, neglecting to investigate landscape disturbance and environmental bacterial infections. One example is Buruli ulcer (BU) disease, a necrotizing skin disease caused by the environmental pathogen Mycobacterium ulcerans (MU). Empirical and anecdotal observations have linked BU incidence to landscape disturbance, but potential relationships have not been quantified as they relate to land cover configurations.

Methodology/Principal Findings

A landscape ecological approach utilizing Bayesian hierarchical models with spatial random effects was used to test study hypotheses that land cover configurations indicative of anthropogenic disturbance were related to Buruli ulcer (BU) disease in southern Benin, and that a spatial structure existed for drivers of BU case distribution in the region. A final objective was to generate a continuous, risk map across the study region. Results suggested that villages surrounded by naturally shaped, or undisturbed rather than disturbed, wetland patches at a distance within 1200m were at a higher risk for BU, and study outcomes supported the hypothesis that a spatial structure exists for the drivers behind BU risk in the region. The risk surface corresponded to known BU endemicity in Benin and identified moderate risk areas within the boundary of Togo.

Conclusions/Significance

This study was a first attempt to link land cover configurations representative of anthropogenic disturbances to BU prevalence. Study results identified several significant variables, including the presence of natural wetland areas, warranting future investigations into these factors at additional spatial and temporal scales. A major contribution of this study included the incorporation of a spatial modeling component that predicted BU rates to new locations without strong knowledge of environmental factors contributing to disease distribution.     

城市扩张对北京市城乡结合部自然和农业景观的影响——以昌平区三镇为例

城乡结合部自然和农业生态系统是确保城市生态安全的重要基础。研究快速城市化背景下城乡结合部自然和农业景观的时空演变规律和驱动因素,能够为相关规划的编制和保护政策的制定提供科学支撑。以北京市三个典型的城乡结合部乡镇为例,通过对1999、2004和2010年三期SPOT遥感影像的解译,获取三镇三个时期土地利用/覆盖(Land Use/Land Cover,LULC)数据。在此基础上,借助Arc GIS空间叠加功能和土地利用转移矩阵,分析1999—2010年三镇LULC的时空变化特征;并通过空间自相性和景观连通性分析,研究近十年来三镇建设用地的空间聚集特征以及自然和农业景观空间连通性的变化,分析城市扩张对三镇自然和农业景观格局和稳定性的影响。最后,采用定量和定性相结合的方法,分析三镇自然和农业景观变化的驱动力。结果表明,1999—2010年三镇经历了剧烈的LUCC过程,建设用地、林地和草地面积大幅增加,伴随的是农业用地和水域面积的急剧减少。各种土地利用类型之间都存在着相互转移,特别是农业用地向建设用地、林地和草地,以及林地向建设用地转移明显。新增建设用地大多通过侵占原有建设用地周边的农业用地和林地,而实现"成片蔓延式"扩张;并造成了三镇自然和农业景观连通性的急剧下降,危及到该区域生态系统结构的完整性和功能的持续性。社会经济发展、土地利用规划、公共政策等共同决定着三镇LUCC的结构、规模和空间分布,是三镇自然和农业景观格局演变的主要驱动力。     

1940—2002年长江中下游平原乡村景观区域中耕地类型及其土壤氮磷储量的变化

过去60a间,长江中下游平原乡村景观区域中土地利用覆被类型,特别是耕地类型发生了显著地转变,并对其土壤全氮和全磷产生了明显地影响。通过选取区域代表性样方、研究耕地类型的小尺度转化、土壤取样和收集1965年前土壤全氮、全磷历史数据,采用尺度推绎和蒙特卡洛不确定性分析方法,评价了1940-2002年长江中下游平原人口密集的乡村景观区域中耕地类型及其土壤全氮、全磷储量的变化。结果表明:近60a来,在86×103km2的区域中有47%的面积发生了变化,其中33%的面积是耕地类型转化。耕地面积减少18.6%(-16.0×103km2),其中稻田面积减少21.5%(-18.5×103km2),种植木本作物的旱地面积减少1.7%(-1.5×103km2);而种植木本作物和种植1年生作物的水浇地的面积分别增加了3.5%(3.0×103km2)和2.0%(1.7×103km2)。尽管稻田面积大幅减少,但其仍是区域中面积最大的土地利用覆被类型。1940-2002年,有98%的可能性区域耕地0-30cm土壤全氮储量净减少,而其0-30cm土壤全磷储量则无明显变化。区域耕地土壤全氮储量明显减少(-7.2Tg N),主要受稻田土壤全氮储量显著减少(-8.0Tg N)的影响,而稻田面积大幅减少是导致稻田土壤全氮储量减少的主要原因。与此同时,种植木本作物的旱地的土壤全氮储量减少了0.7Tg N;而种植木本作物和种植1年生作物的水浇地分别增加1.3和0.7Tg N。区域耕地土壤全磷储量变化不明显,主要受稻田土壤全磷储量无明显变化的影响。尽管稻田面积大幅减少,但由于稻田土壤全磷密度增加了29%(其净增加的可能性为76%);加之稻田土壤全磷密度变异较大,所以稻田土壤全磷储量并没有明显减少,其净减少的可能性仅为64%。与此同时,有75%的可能性种植木本作物的旱地的土壤全磷储量净减少,但仅减少了0.3Tg P;而种植木本作物的水浇地和种植1年生作物的水浇地土壤全磷都有少量增加,分别为0.7和0.4Tg P。通过选取区域代表性样方、研究耕地类型的小尺度转化、土壤取样和收集土壤历史数据、结合尺度推绎和蒙特卡洛不确定性分析方法,能够揭示1940-2002年长江中下游平原人口密集的乡村景观区域中耕地类型及其土壤全氮和全磷储量的变化。     

Development and Applications of a Comprehensive Land Use Classification and Map for the US

Land cover maps reasonably depict areas that are strongly converted by human activities, but typically are unable to resolve low-density but widespread development patterns. Data products specifically designed to resolve land uses complement land cover datasets and likely improve our ability to understand the extent and complexity of human modification. Methods for developing a comprehensive land use classification system are described, and a map of land use for the conterminous United States is presented to reveal what we are doing on the land. The comprehensive, detailed and high-resolution dataset was developed through spatial analysis of nearly two-dozen publicly-available, national spatial datasets – predominately based on census housing, employment, and infrastructure, as well as land cover from satellite imagery. This effort resulted in 79 land use classes that fit within five main land use groups: built-up, production, recreation, conservation, and water. Key findings from this study are that built-up areas occupy 13.6% of mainland US, but that the majority of this occurs as low-density exurban/rural residential (9.1% of the US), while more intensive built-up land uses occupy 4.5%. For every acre of urban and suburban residential land, there are 0.13 commercial, 0.07 industrial, 0.48 institutional, and 0.29 acres of interstates/highways. This database can be used to address a variety of natural resource applications, and I provide three examples here: an entropy index of the diversity of land uses for smart-growth planning, a power-law scaling of metropolitan area population to developed footprint, and identifying potential conflict areas by delineating the urban interface.     

1940—2002年长江中下游平原乡村景观区域中土地利用覆被及其土壤有机碳储量变化

过去60a来,长江中下游平原的乡村地区发展迅速,引起土地利用覆被及其土壤有机碳储量明显地变化。通过选取区域代表性样方、基于1942年航片和2002年IKONOS影像研究小尺度土地利用覆被变化、土壤取样和收集1965年前土壤有机碳历史数据,用尺度推绎和蒙特卡洛不确定性分析方法,评价了19402002年长江中下游平原人口密集的乡村景观区域中土地利用覆被的面积及其030cm土壤(或底泥)有机碳储量的变化。结果表明:近60a来,在86×103km2的区域中有47%的面积发生土地利用覆被转化,其中耕地转化为非耕地的面积为21%(18×103km2)。土地利用覆被类型转化及其有机碳密度的变化导致该区域土壤有机碳储量的净增加。该区域稻田和闲置水域面积分别减少了21.5%(18.5×103km2)和6.7%(5.7×103km2),导致其土壤(或底泥)有机碳储量分别减少41.8TgC和12.9TgC;而水产养殖、非渗漏表面为主的建筑用地、种植木本作物和种植1年生作物的水浇地面积分别增加了14.2%(12.2×103km2)、7.7%(6.7×103km2)、3.5%(3.0×103km2)和2.0%(1.7×103km2),使其土壤(或底泥)有机碳储量分别增加32.2TgC、22.2TgC、12.2TgC和6.5TgC。近60a来,整个区域030cm土壤有机碳的储量增加了18.2TgC,其净增加的可能性为75%,形成了弱碳汇。这主要是由于区域稻田土壤有机碳密度增加了17%,使区域土壤有机碳储量增加了22.2TgC(其净增加的可能性为92%);而且,稻田转化为种植木本作物和种植1年生作物的水浇地也使区域土壤有机碳储量分别增加了1.3TgC(净增加的可能性为86%)和0.3TgC(净增加的可能性为70%);此外,闲置水域转化为水产养殖也使区域土壤有机碳储量增加1.3TgC(净增加的可能性为77%)。但是,稻田转化为水产养殖和非渗漏表面为主的建筑用地导致区域土壤有机碳储量损失6.3TgC和0.6TgC。因稻田土壤有机碳密度增加及稻田转化类型的土壤有机碳储量变化的影响,使整个区域形成弱碳汇,但如果稻田继续减少的话,很可能变成碳源。通过选取区域代表性样方、研究小尺度土地利用覆被变化、土壤取样和收集土壤历史数据,采用尺度推绎方法,研究揭示了19402002年长江中下游平原人口密集的乡村景观区域中土地利用覆被的面积及其土壤有机碳储量的变化。