Land-use dynamics and climatic gradients have large effects on many terrestrial systems. Exurban development, one of the fastest growing forms of land use in the United States, may affect wildlife through habitat fragmentation and building presence may alter habitat quality. We studied the effects of residential development and temperature gradients on bird species occurrence at 140 study sites...

Non-native species are presumed to be pervasive across the urban landscape. Yet, we actually know very little about their actual distribution. For this study, vegetation plot data from Syracuse, NY and Baltimore, MD were used to examine non-native tree species distribution in urban landscapes. Data were collected from remnant and emergent forest patches on upland sites and riparian habitats. No...

this paper deals with the concept of “residential models” and the role it plays on human relations in residential complexes. it intends to; review the concept of residence; understand how a residential model takes form; the influence of a residential model on future human interactions. to this end, having reviewed comments and viewpoints, focused on “what is residence? which factors may create ...

In this paper, grid cell based spatial statistics were used to quantify the drivers of land-cover and land-use change (LCLUC) and habitat degradation in a tropical rainforest in Madagascar. First, a spectral database of various land-cover and land-use information was compiled using multi-year field campaign data and photointerpretation of satellite images. Next, residential areas were extracted...

The manner in which space is utilized by animals is influenced by several factors, including habitat quality and the distribution and abundance of resources. We used 4 years (2000–2003) of radiotelemetry data to investigate the space-use pattern of female Florida black bears (Ursus americanus floridanus) in the Ocala National Forest and an adjacent residential community of Lynne, north-central ...

The rotation forest ensemble method using a genetic fuzzy rule-based system as a base learning algorithm was developed in Matlab environment. The method was applied to the real-world regression problem of predicting the prices of residential premises based on historical data of sales/purchase transactions. The computationally intensive experiments were conducted aimed to compare the accuracy of...

in the past, forest road network designing was mainly done for its main goals-management and exploitation. this study was performed to pay attention for multilateral goals of forest roads, especially its role in forest villages’ development, in estakhr-posht of neka (6 villages) in series 2, section 6 of neka-zalem rood forest management plan. at first, constructed forest roads and suggested ro...

We are introducing a new design goal called area priority for finding optimal sensor node distribution. Environment that wireless sensor network (WSN) will be placed is divided into parts and priorities are attached to these parts. Priorities make the deployment problem adaptable to non-homogeneous environments such as forests having regions that have different importance levels. Various tree/a...

The ensemble machine learning methods incorporating random subspace and random forest employing genetic fuzzy rule-based systems as base learning algorithms were developed in Matlab environment. The methods were applied to the real-world regression problem of predicting the prices of residential premises based on historical data of sales/purchase transactions. The accuracy of ensembles generate...