Modeling Habitat Suitability for Complex Species Distributions by Environmental-Distance Geometric Mean

This paper presents a new habitat suitability modeling method whose main properties are as follows: (1) It is based on the density of observation points in the environmental space, which enables it to fit complex distributions (e.g. nongaussian, bimodal, asymmetrical, etc.). (2) This density is modeled by computing the geometric mean to all observation points, which we show to be a good trade-off between goodness of fit and prediction power. (3) It does not need any absence information, which is generally difficult to collect and of dubious reliability. (4) The environmental space is represented either by an expert-selection of standardized variables or the axes of a factor analysis [in this paper we used the Ecological Niche Factor Analysis (ENFA)].We first explain the details of the geometric mean algorithm and then we apply it to the bearded vulture (Gypaetus barbatus) habitat in the Swiss Alps. The results are compared to those obtained by the median algorithm and tested by jack-knife cross-validation. We also discuss other related algorithms (BIOCLIM, HABITAT, and DOMAIN). All these analyses were implemented into and performed with the ecology-oriented GIS software BIOMAPPER 2.0.The results show the geometric mean to perform better than the median algorithm, as it produces a tighter fit to the bimodal distribution of the bearded vulture in the environmental space. However, the median algorithm being quicker, it could be preferred when modeling more usual distribution.     

Modelling potential habitat for cougars in midwestern North America

Cougars (Puma concolor) are of considerable interest to wildlife biologists and the general public in midwestern North America, yet no researchers have modelled potential habitat in the region. We created a model of potential cougar habitat in 9 midwestern states using geospatial data, expert-opinion surveys, the analytical hierarchy process, and a GIS. About 8% of the study region contained highly favorable habitat (with favorability scores ≥75%) for cougars; the states of Arkansas (19%) and Missouri (16%) contained the highest proportions of potentially favorable habitat. We identified 6 large (≥2500 km² in size), contiguous areas of highly favorable habitat for cougars. Model testing procedures indicated a valid model when compared to an independent set of cougar locations, a null dataset, and similar studies. Our model is useful as a planning tool to proactively address future human-cougar conflicts should cougars re-colonize the Midwest via subadult dispersal.     

Fragmentation drives tropical forest fragments to early successional states: A modelling study for Brazilian Atlantic forests

Land use leads to massive habitat destruction and fragmentation in tropical forests. Despite its global dimensions the effects of fragmentation on ecosystem dynamics are not well understood due to the complexity of the problem. We present a simulation analysis performed by the individual-based model FORMIND. The model was applied to the Brazilian Atlantic Forest, one of the world's biodiversity hot spots, at the Plateau of São Paulo. This study investigates the long-term effects of fragmentation processes on structure and dynamics of different sized remnant tropical forest fragments (1-100 ha) at community and plant functional type (PFT) level. We disentangle the interplay of single effects of different key fragmentation processes (edge mortality, increased mortality of large trees, local seed loss and external seed rain) using simulation experiments in a full factorial design.Our analysis reveals that particularly small forest fragments below 25 ha suffer substantial structural changes, biomass and biodiversity loss in the long term. At community level biomass is reduced up to 60%. Two thirds of the mid- and late-successional species groups, especially shade-tolerant (late successional climax) species groups are prone of extinction in small fragments. The shade-tolerant species groups were most strongly affected; its tree number was reduced more than 60% mainly by increased edge mortality. This process proved to be the most powerful of those investigated, explaining alone more than 80% of the changes observed for this group. External seed rain was able to compensate approximately 30% of the observed fragmentation effects for shade-tolerant species.Our results suggest that tropical forest fragments will suffer strong structural changes in the long term, leading to tree species impoverishment. They may reach a new equilibrium with a substantially reduced subset of the initial species pool, and are driven towards an earlier successional state. The natural regeneration potential of a landscape scattered with forest fragments appears to be limited, as external seed rain is not able to fully compensate for the observed fragmentation-induced changes. Our findings suggest basic recommendations for the management of fragmented tropical forest landscapes.     

Landscape ecological assessment: a tool for integrating biodiversity issues in strategic environmental assessment and planning

To achieve a sustainable development, impacts on biodiversity of urbanisation, new infrastructure projects and other land use changes must be considered on landscape and regional scales. This requires that important decisions are made after a systematic evaluation of environmental impacts. Landscape ecology can provide a conceptual framework for the assessment of consequences of long-term development processes like urbanisation on biodiversity components, and for evaluating and visualising the impacts of alternative planning scenarios. The aim of this paper was to develop methods for integrating biodiversity issues in planning and strategic environmental assessment in an urbanising environment, on landscape and regional levels. In order to test developed methods, a case study was conducted in the region of Stockholm, the capital of Sweden, and the study area embraced the city centre, suburbs and peri-urban areas. Focal species were tested as indicators of habitat quality, quantity and connectivity in the landscape. Predictive modelling of habitat distribution in geographic information systems involved the modelling of focal species occurrences based on empirical data, incorporated in a landscape ecological decision support system. When habitat models were retrieved, they were applied on future planning scenarios in order to predict and assess the impacts on focal species. The scenario involving a diffuse exploitation pattern had the greatest negative impacts on the habitat networks of focal species. The scenarios with concentrated exploitation also had negative impacts, although they were possible to mitigate quite easily. The predictions of the impacts on habitats networks of focal species made it possible to quantify, integrate and visualise the effects of urbanisation scenarios on aspects of biodiversity on a landscape level.     

Refining the Use of Habitat Equivalency Analysis

When natural resources are injured or destroyed in violation of certain U.S. federal or state statutes, government agencies have the responsibility to ensure the public is compensated through ecological restoration for the loss of the natural resources and services they provide. Habitat equivalency analysis is a service-to-service approach to scaling restoration commonly used in natural resource damage assessments. Calculation of the present value of resource services lost due to injury and gained from compensatory restoration projects is complicated by assumptions concerning the within-time period crediting of losses and gains. Conventional beginning-of-period accounting leads to an underestimate of the loss due to injury and an overestimate of the gains from compensatory projects in cases with linear recovery projections. The resulting compensatory requirement is often insufficient to offset the true loss suffered by the public. Two algebraic equations are offered to correct for these estimation inaccuracies, and a numerical example is used to illustrate the magnitude of error for a typical, though hypothetical, injury scenario.     

黄浦江上游底栖动物的指示生物生态研究

就黄浦江上游水质现状，底栖动物指示种的适用范围及其对污染的指示意义，加以探讨，研究，结果筛选出适应于当前水质状况的底栖动物有颤蚓，水丝蚓，珍珠蚌，钩虾和摇蚊幼虫等指示种，从底栖动物指示种的变化，可预测水质变化的趋势以及季节性的差异。