Birds in agricultural mosaics : the influence of landscape pattern and countryside heterogeneity

Agricultural environments are critical to the conservation of biota throughout the world. Efforts to identify key influences on the conservation status of fauna in such environments have taken complementary approaches. Many studies have focused on the role of remnant or seminatural vegetation and emphasized the influence on biota of spatial patterns in the landscape. Others have recognized that many species use diverse ‘‘countryside’’ elements within farmland, and emphasize the benefits of landscape heterogeneity for conservation. Here, we investigated the effect of independent measures of both the spatial pattern (extent and configuration) and heterogeneity of elements (i.e., land uses/vegetation types) on bird occurrence in farm-scale agricultural mosaics in southeastern Australia. Birds were sampled in all types of elements in 27 mosaics (each 1 3 1 km) selected to incorporate variation in cover of native vegetation and the number of different element types in the mosaic. We used an information-theoretic approach to identify the mosaic properties that most strongly influenced bird species richness. Subgroups of birds based on habitat requirements responded most strongly to the extent of preferred elements in mosaics. Woodland birds were richer in mosaics with higher cover of native vegetation while open-tolerant species responded to the extent of scattered trees. In contrast, for total species richness, mosaic heterogeneity (richness of element types) and landscape context (cover of native vegetation in surrounding area) had the greatest influence. These results showed that up to 76% of landscape-level variation in richness of bird groups is attributable to mosaic properties directly amenable to management by landowners. Key implications include (1) conservation goals for farm landscapes must be carefully defined because the richness of different faunal components is influenced by different mosaic properties; (2) the extent of native vegetation is a critical influence in agricultural environments because it drives the farmscale richness of woodland birds and has a broader context effect on total bird richness in mosaics; (3) land-use practices that enhance the heterogeneity of farmland mosaics are beneficial for native birds; and (4) the cumulative effect of even small elements in farm mosaics contribute to the structural properties of entire landscapes.

Landscape pattern, countryside heterogeneity and bird conservation in agricultural environments

This study confirms the valuable contribution that agricultural landscapes make to bird conservation in Australia. While native vegetation is critical to conservation efforts, careful management of production land-use types may provide additional benefits. Results show that productive farm enterprises can make real contributions to the success of broader conservation goals.

The Monitoring and Assessment Plan (MAP) Greater Everglades Wetlands Module- Landscape Pattern- Ridge, Slough, and Tree Island Mosaics: Year 1 Annual Report

In the current managed Everglades system, the pre-drainage, patterned mosaic of sawgrass ridges, sloughs and tree islands has been substantially altered or reduced largely as a result of human alterations to historic ecological and hydrological processes that sustained landscape patterns. The pre-compartmentalization ridge and slough landscape was a mosaic of sloughs, elongated sawgrass ridges (50-200m wide), and tree islands. The ridges and sloughs and tree islands were elongated in the direction of the water flow, with roughly equal area of ridge and slough. Over the past decades, the ridge-slough topographic relief and spatial patterning have degraded in many areas of the Everglades. Nutrient enriched areas have become dominated by Typha with little topographic relief; areas of reduced flow have lost the elongated ridge-slough topography; and ponded areas with excessively long hydroperiods have experienced a decline in ridge prevalence and shape, and in the number of tree islands (Sklar et al. 2004, Ogden 2005).

Landscape Pattern – Marl Prairie/Slough Gradient: Vegetation Composition along the Gradient and Decadal Vegetation Change Pattern in Shark Slough: Annual Report 2012

In the southern Everglades, vegetation in both the marl prairie and ridge and slough landscapes is sensitive to large-scale restoration activities associated with the Comprehensive Everglades Restoration Plan (CERP) authorized by the Water Resources Development Act (WRDA) 2000 to restore the south Florida ecosystem. More specifically, changes in hydrologic regimes at both local and landscape scales are likely to affect vegetation composition along marl prairie-slough gradient resulting in a shift in boundary between plant communities in these landscapes. To strengthen our ability to assess how vegetation would respond to changes in underlying ecosystem drivers along the gradient, an improved understanding of reference conditions of plant community structure and function, and their responses to major stressors is important. In this regard, a study of vegetation structure and composition in relation to physical and biological processes along the marl prairie-slough gradient was initiated in 2005, and has continued through 2012 with funding from US Army Corps of Engineers (USACOE) (Cooperative Agreement # W912HZ-09-2-0018 Modification No.: P00002). This study addresses the hypothesis with respect to RECOVER-MAP monitoring item 3.1.3.5 – “Marl Prairie/Slough Gradients; patterns and trends in Shark Slough marshes and associated marl prairies”.

Discharge competence and pattern formation in peatlands: a meta-ecosystem model of the Everglades ridge-slough landscape.

Regular landscape patterning arises from spatially-dependent feedbacks, and can undergo catastrophic loss in response to changing landscape drivers. The central Everglades (Florida, USA) historically exhibited regular, linear, flow-parallel orientation of high-elevation sawgrass ridges and low-elevation sloughs that has degraded due to hydrologic modification. In this study, we use a meta-ecosystem approach to model a mechanism for the establishment, persistence, and loss of this landscape. The discharge competence (or self-organizing canal) hypothesis assumes non-linear relationships between peat accretion and water depth, and describes flow-dependent feedbacks of microtopography on water depth. Closed-form model solutions demonstrate that 1) this mechanism can produce spontaneous divergence of local elevation; 2) divergent and homogenous states can exhibit global bi-stability; and 3) feedbacks that produce divergence act anisotropically. Thus, discharge competence and non-linear peat accretion dynamics may explain the establishment, persistence, and loss of landscape pattern, even in the absence of other spatial feedbacks. Our model provides specific, testable predictions that may allow discrimination between the self-organizing canal hypotheses and competing explanations. The potential for global bi-stability suggested by our model suggests that hydrologic restoration may not re-initiate spontaneous pattern establishment, particularly where distinct soil elevation modes have been lost. As a result, we recommend that management efforts should prioritize maintenance of historic hydroperiods in areas of conserved pattern over restoration of hydrologic regimes in degraded regions. This study illustrates the value of simple meta-ecosystem models for investigation of spatial processes.

Interactions between landcover pattern and geospatial processing methods:effects on landscape metrics and classification accuracy

Remote sensing data is routinely used in ecology to investigate the relationship between landscape pattern as characterised by land use and land cover maps, and ecological processes. Multiple factors related to the representation of geographic phenomenon have been shown to affect characterisation of landscape pattern resulting in spatial uncertainty. This study investigated the effect of the interaction between landscape spatial pattern and geospatial processing methods statistically; unlike most papers which consider the effect of each factor in isolation only. This is important since data used to calculate landscape metrics typically undergo a series of data abstraction processing tasks and are rarely performed in isolation. The geospatial processing methods tested were the aggregation method and the choice of pixel size used to aggregate data. These were compared to two components of landscape pattern, spatial heterogeneity and the proportion of landcover class area. The interactions and their effect on the final landcover map were described using landscape metrics to measure landscape pattern and classification accuracy (response variables). All landscape metrics and classification accuracy were shown to be affected by both landscape pattern and by processing methods. Large variability in the response of those variables and interactions between the explanatory variables were observed. However, even though interactions occurred, this only affected the magnitude of the difference in landscape metric values. Thus, provided that the same processing methods are used, landscapes should retain their ranking when their landscape metrics are compared. For example, highly fragmented landscapes will always have larger values for the landscape metric "number of patches" than less fragmented landscapes. But the magnitude of difference between the landscapes may change and therefore absolute values of landscape metrics may need to be interpreted with caution. The explanatory variables which had the largest effects were spatial heterogeneity and pixel size. These explanatory variables tended to result in large main effects and large interactions. The high variability in the response variables and the interaction of the explanatory variables indicate it would be difficult to make generalisations about the impact of processing on landscape pattern as only two processing methods were tested and it is likely that untested processing methods will potentially result in even greater spatial uncertainty. © 2013 Elsevier B.V.

NDVI spatial pattern and its differentiation on the Mongolian Plateau

GIMMS NDVI database and geo-statistics were used to depict the spatial distribution and temporal stability of NDVI on the Mongolian Plateau. The results demonstrated that: (1) Regions of interest with high NDVI indices were distributed primarily in forested mountainous regions of the east and the north, areas with low NDVI indices were primarily distributed in the Gobi desert regions of the west and the southwest, and areas with moderate NDVI values were mainly distributed in a middle steppe strap from northwest to southeast. (2) The maximum NDVI values maintained for the past 22 years showed little variation. The average NDVI variance coefficient for the 22-year period was 15.2%. (3) NDVI distribution and vegetation cover showed spatial autocorrelations on a global scale. NDVI patterns from the vegetation cover also demonstrated anisotropy; a higher positive spatial correlation was indicated in a NW-SE direction, which suggested that vegetation cover in a NW-SE direction maintained increased integrity, and vegetation assemblage was mainly distributed in the same specific direction. (4) The NDVI spatial distribution was mainly controlled by structural factors, 88.7% of the total spatial variation was influenced by structural and 11.3% by random factors. And the global autocorrelation distance was 1178 km, and the average vegetation patch length (NW-SE) to width (NE-SW) ratio was approximately 2.4:1.0.

Pattern of nutrient availability and plant community assemblage in Everglades Tree Islands, Florida, USA

We address the relative importance of nutrient availability in relation to other physical and biological factors in determining plant community assemblages around Everglades Tree Islands (Everglades National Park, Florida, USA). We carried out a one-time survey of elevation, soil, water level and vegetation structure and composition at 138 plots located along transects in three tree islands in the Park’s major drainage basin. We used an RDA variance partitioning technique to assess the relative importance of nutrient availability (soil N and P) and other factors in explaining herb and tree assemblages of tree island tail and surrounded marshes. The upland areas of the tree islands accumulate P and show low N concentration, producing a strong island-wide gradient in soil N:P ratio. While soil N:P ratio plays a significant role in determining herb layer and tree layer community assemblage in tree island tails, nevertheless part of its variance is shared with hydrology. The total species variance explained by the predictors is very low. We define a strong gradient in nutrient availability (soil N:P ratio) closely related to hydrology. Hydrology and nutrient availability are both factors influencing community assemblages around tree islands, nevertheless both seem to be acting together and in a complex mechanism. Future research should be focused on segregating these two factors in order to determine whether nutrient leaching from tree islands is a factor determining community assemblages and local landscape pattern in the Everglades, and how this process might be affected by water management.

Recent and Historic Drivers of Landscape Change in the Everglades Ridge, Slough, and Tree Island Mosaic

More than half of the original Everglades extent formed a patterned peat mosaic of elevated ridges, lower and more open sloughs, and tree islands aligned parallel to the dominant flow direction. This ecologically important landscape structure remained in a dynamic equilibrium for millennia prior to rapid degradation over the past century in response to human manipulation of the hydrologic system. Restoration of the patterned landscape structure is one of the primary objectives of the Everglades restoration effort. Recent research has revealed that three main drivers regulated feedbacks that initiated and maintained landscape structure: the spatial and temporal distribution of surface water depths, surface and subsurface flow, and phosphorus supply. Causes of recent degradation include but are not limited to perturbations to these historically important controls; shifts in mineral and sulfate supply may have also contributed to degradation. Restoring predrainage hydrologic conditions will likely preserve remaining landscape pattern structure, provided a sufficient supply of surface water with low nutrient and low total dissolved solids content exists to maintain a rainfall-driven water chemistry. However, because of hysteresis in landscape evolution trajectories, restoration of areas with a fully degraded landscape could require additional human intervention.

Preliminary comparison of natural versus model-predicted recovery of vessel-generated seagrass injuries in Florida Keys National Marine Sanctuary

Each year, more than 500 motorized vessel groundings cause widespread damage to seagrasses in Florida Keys National Marine Sanctuary (FKNMS). Under Section 312 of the National Marine Sanctuaries Act (NMSA), any party responsible for the loss, injury, or destruction of any Sanctuary resource, including seagrass, is liable to the United States for response costs and resulting damages. As part of the damage assessment process, a cellular automata model is utilized to forecast seagrass recovery rates. Field validation of these forecasts was accomplished by comparing model-predicted percent recovery to that which was observed to be occurring naturally for 30 documented vessel grounding sites. Model recovery forecasts for both Thalassia testudinum and Syringodium filiforme exceeded natural recovery estimates for 93.1% and 89.5% of the sites, respectively. For Halodule wrightii, the number of over- and under-predictions by the model was similar. However, where under-estimation occurred, it was often severe, reflecting the well-known extraordinary growth potential of this opportunistic species. These preliminary findings indicate that the recovery model is consistently generous to Responsible Parties in that the model forecasts a much faster recovery than was observed to occur naturally, particularly for T. testudinum, the dominant seagrass species in the region and the species most often affected. Environmental setting (i.e., location, wave exposure) influences local seagrass landscape pattern and may also play a role in the recovery dynamics for a particular injury site. An examination of the relationship between selected environmental factors and injury recovery dynamics is currently underway. (PDF file contains 20 pages.)

塔里木河下游植被和景观格局变化及其驱动力分析

利用RS和GIS手段相结合的方法研究了塔里木河下游的植被和景观变化，并分析了由于历史时期塔里木河水流量的变化而导致的地下水位变化、环境因子和人类活动对植被及景观格局的影响。 对环境因子与植被覆盖变化关系的分析结果发现： ⑴在1987年至2004年占研究区总面积26％的景观发生变化；而植被和水体的变化最大；植被的变化中荒漠化和转化为农田是其主要的变化类型。1987年至2004年，仅有占总面积39％的植被没有发生变化，而发生荒漠化和盐碱化的植被仅有少数能够恢复。 ⑵在选取的环境因子中，植被缀块的起始NDVI和植被缀块距河道的距离对植被变化的影响最大，其次为海拔、坡度、缀块形状和缀块距离居民点的距离；而坡向和缀块面积与植被变化的关系较小。发生荒漠化的植被缀块距离河道较远且自身的NDVI较低，表明这些植被缀块的变化主要是受到水资源的限制；而转化为农田的植被缀块自身的NDVI较高且距河道较近，表明人类的开垦活动主要在植被生长较好的地区进行。研究期间内能够保持的植被距河道较近且NDVI较低，这与能够保留的植被主要是较稀疏的胡杨林有关。 ⑶植被缀块距河道的距离在1987年至1999年间与植被的变化显著相关，而在1999年至2004年相关不显著，这表明影响植被变化的影响环境因子随时间变化。 ⑷虽然所选取的环境因子对植被变化的解释力偏低，但在某些时间段对植被变化的解释力可以达到40％。如果增加环境因子，使用梯度分析的方法可以较好的解释环境及其它因子对植被变化的影响。 对地下水位变化对植被及景观时空格局变化的研究结果发现： ⑴在地下水水位剧烈下降的1986年至1999年，植被面积减少30％，距离河道最近的区域减少最多，植被占总面积的比例和植被的减少随距离河道距离的增加而减小；平均NDVI降低；荒漠面积增加4.8％，年均增加1338公顷；盐碱地面积增加。由于生态应急输水工程的实施，1999年至2004年期间沿塔里木河道地下水位回升，植被面积增加48％，距离河道最近的区域面积增加最明显，植被面积增加的增幅随距离河道距离的增加而减小；荒漠面积减少8.3％，年均减少6280公顷；平均NDVI升高；荒漠面积减少；盐碱地面积在某些区段增加，某些区段减少。 ⑵1986年至1999年胡杨林、柽柳灌丛和盐生草甸缀块密度增加，植被趋于破碎化；总体上胡杨林、柽柳灌丛和盐生草甸的缀块形状变得规则，而盐生草甸在某些区段趋于不规则；景观的聚集度在河道左侧增加而右侧减小；景观多样性和均匀性均下降。1999年至2004年，总体上胡杨林、柽柳灌丛和盐生草甸的缀块密度减小，植被趋于整合；胡杨林、柽柳灌丛和盐生草甸缀块形状变得不规则，但盐生草甸在某些区段变得相对规则；景观聚集度指数变化没有明显的规律；景观多样性和均匀性均增加。 ⑶除植被占总面积的比例在沿河道由上段到中断到下段方向上呈现减少的趋势，其它植被及景观特性在沿河道纵向上变化规律不明显；而在沿河道垂直方向上，植被及景观特性的变化表现出与距离河道的距离相关，表明该地区的植被及景观特性是受到地下水控制的。 ⑷在塔里木河实施的生态应急输水工程对当地植被的恢复起到了一定的作用，但主要局限在沿河道附近的区域。对于干旱区植物的保护，合理使用径流水资源，保证水资源的供应畅通是更好和更长远的发展策略。 对人类活动对景观的影响的研究发现： ⑴1987年至1999年，农田面积增加4240公顷，年均增加353公顷；植被面积减少4884公顷，年均减少407公顷。1999年至2004年，农田面积增加4568公顷，年均增加913公顷；植被面积减少8487公顷，年均减少1697公顷，远大于农田面积的增加。 ⑵农田平均缀块面积和农田最大缀块面积从1987年至1999年至2004年增加；聚集度指数在1987年至1999年降低，而1999年至2004年升高。最大植被缀块面积、平均形状指数和聚集指数从1987年至1999年至2004年均下降；其它植被及农田景观指数在1987年至1999年和1999年至2004年间变化不一致。在距河道1km的范围内，农田缀块数、农田面积、最大农田缀块面积、平均缀块面积、平均形状指数以及聚集度指数在从1987年至1999年至2004年一直升高；距河道1km范围内的景观多样性和均匀度指数和平均形状指数在1987年至1999年至2004年增加，而聚集度指数和最大缀块指数在1987年至1999年至2004年一直减小。 ⑶研究结果表明人类活动-主要是开垦农田-导致了当地植被面积的减少，并导致植被破碎化。受到径流来水量减少的影响，人类开垦活动正在逐渐向距离河道近的区域转移，并导致植被向退化的方向发展，河道附近的区域是塔里木河下游植被分布的主要区域，这对该地区植被的维持和保护非常不利。 在塔里木河下游，地下水位的下降和人类活动都导致植被趋于退化，人工输水虽然能够恢复植被，但其效应主要集中在河道附近的地区，对于该生态关键地区植被的保护，合理的使用水资源并适当的进行人类活动才是植被及生态保护的根本。

基于景观格局变化评价的梯级水电开发规划方案研究

根据景观生态学理论,借助地理信息系统工具,采用定量的方法分析工程景观格局状况,通过建立水电开发建设规划方案的景观格局变化评价的指标体系和评价方法,研究水电开发规划方案对区域景观格局的影响。本方法应用于黄河上游黑山峡河段水电开发建设方案析分析。结果表明:不同规划方案实施后对原有生态环境均产生了一定影响。通过对不同方案与研究区域生态现状进行灰色关联分析,红山峡、五佛、小观音和大柳树4个坝址均修建低坝的方案的景观格局指数最高,研究区域景观生态风险最小。最终确定该方案为最优方案,该方案对区域原有生态体系性质和功能影响较小。

岷江上游地区景观格局与生态承载力变化及预测研究

岷江上游是我国十分典型的山地生态脆弱区。该地区的生态环境意义十分重大，既是长江上游生态屏障的重要组成部分，更是成都平原的重要生态屏障和水源生命线，其生态环境状况直接影响成都平原水资源的质量和数量，以至影响到整个岷江流域甚至整个长江上游的生态环境与社会经济发展。本论文通过3S技术手段，应用转移矩阵、景观指数和Kappa指数系列方法对岷江上游的景观变化从1974到2000年进行了综合分析，同时应用CLUE-S模型在有无“天然林保护工程”两个预案下对该区域2001到2020年的景观变化进行了预测。然后，应用基于能值理论进行改进的生态足迹方法和传统生态足迹方法对岷江上游地区的1982到2000的生态承载力进行了分析，以反映研究区的生态环境质量和可持续发展情况；应用多元统计方法和CLUE-S模型预测的结果预测了研究区2001到2020年的生态足迹和生态承载力。对岷江上游地区的景观格局和生态承载力的变化进行分析和预测得到如下主要结论： 1. 岷江上游地区景观在1974到2000年间格局变化并不十分显著，景观由少数几种景观类型所控制，各景观类型有不断趋于平均化的趋势，但速度缓慢，景观的破碎化程度越来越严重。研究区的景观变化以有林地的不断减少和其它景观类型的相应增加为特点，主要的景观变化发生在有林地、灌木林地、草地、耕地和经济林地之间。此时间段内的景观林地的面积不断减少，大部分转化为灌木林地和草地，使得其面积相应增加。耕地和经济林地面积不断增长，增长速度最为迅速。 2. 在有无“天然林保护工程”两种预案下，有林地向着不同的方向发展，有林地变化情况的不同导致其它景观类型的变化不同。在“无天保”预案下，林地面积不断减少，灌木林地、草地和耕地面积不断增长，景观的破碎化程度不断加剧，斑块形状更加不规划，景观的连通性不断下降。在“天保”预案下，林地面积有增长趋势，灌木林地和草地面积有所下降，耕地面积有下降趋势，景观的破碎化程度有减小的趋势，景观形状变得更加规则，景观的连通性也将得到改善。由此，“天然林保护工程”对景观格局未来变化有着决定性的作用。 3. 岷江上游地区的生态足迹从1982到2000年间呈缓慢的上升趋势，表明研究区内居民的生活水平不断提高，但速度缓慢。虽然研究区在研究时期内的生态承载力大于需求，但生态承载力呈明显的下降趋势，造成这种情况的主要原因是由于资源的不合理利用方式造成的，特别是对森林的过度采伐。连续的木材采伐给岷江上游地区脆弱的生态系统带来严重后果，导致了林地面积减小、森林质量下降、水土流失加剧和泥石流频繁发生。 4. 对于生态足迹和生态承载力在两个预案的预测表明到2020年为止岷江上游地区仍为可持续发展状态。在“无天保”预案下，生态承载力不断下降，生活足迹不断上升，研究区向不可持续的方向发展；在“天保”预案下，生态承载力在2003年后开始逐渐上升，同时，由于木材采伐被禁止，导致岷江上游地区的生态足迹大为下降，研究区将向更加可持续的方向发展。由两种预案的结果对比可以发现1998年开始实施的“天然林保护工程”能够扭转岷江上游地区未来的生态承载力变化方向。生态承载力可以反映生态系统的质量，说明该政策的实施可以有效改善岷江上游地区未来的生态系统。 5. 传统生态足迹方法应用的生物生产能力数据为常量，所以它能够有效地比较不同年份和不同区域间消费数据的变化情况。实际土地需求法应用的生物生产能力和均衡因子均根据研究区实际数据计算得到，其反映研究区的实际情况更为有效。应用能值对生态足迹方法进行改进，改变了传统生态足迹以生物圈为限制的不足。本文改进的方法－区域能值足迹法能够有效地反映研究区的实际情况，同时又能够将科技进步所带来的影响加以考虑。