Expanding human population and economic growth have led to large-scale conversion of natural habitat to human-dominated landscapes with consequent large-scale declines in biodiversity. Conserving biodiversity, while at the same time meeting expanding human needs, is an issue of utmost importance. In this paper we develop a spatially explicit landscape-level model for analyzing the biological and economic consequences of alternative land-use patterns. The spatially explicit biological model incorporates habitat preferences, area requirements and dispersal ability between habitat patches for terrestrial vertebrate species to predict the likely number of species that will be sustained on the landscape. The spatially explicit economic model incorporates site characteristics and location to predict economic returns for a variety of potential land uses. We apply the model to search for efficient land-use patterns that maximize biodiversity conservation objectives for given levels of economic returns, and vice versa. We apply the model to the Willamette Basin, Oregon, USA. By thinking carefully about the arrangement of activities, we find land-use patterns that sustain high levels of biodiversity and economic returns. Compared to the 1990 land-use pattern, we show that both biodiversity conservation and the value of economic activity could be increased substantially.

Loss of biodiversity, including agro-biodiversity affects smallholders in dry-land regions by decreasing the buffering capacity of the agro-ecosystem and increasing proneness to yield variability including crop failure due to weather extremes. Loss of biodiversity is associated with land use/land cover (LULC) changes that are related to a range of biophysical and socio-economic drivers. This thesis is focused on the Tigray region in northern Ethiopia which has experienced severe loss of biodiversity over the last decades at the regional scale, while loss of genetic variation of crops at the farm and field scale are ongoing as a result of agricultural technology adoption processes. The overall goal of this thesis research was to identify and analyse factors affecting loss of agro-biodiversity in Tigray, Ethiopia, and relate agro-biodiversity loss to LULC changes, soil erosion, farming practices and agricultural productivity. A multi-scale approach was adopted. At the regional scale, LULC changes over the last decades were investigated using a time-series of remotely sensed data to assess changes in biodiversity. At the farm scale, changes in farming practices and land use between 2000 and 2005 were described along with their effects on agro-biodiversity. These changes were related to biophysical and socio-economic drivers. Finally, at the field scale, the consequences of the presence of Acacia albida trees for productivity were assessed. A survey among 151 farms in Tigray indicated that higher numbers of species of trees and shrubs, along with cultivation of land races was associated with traditional farming practices of smallholders in 2000 and 2005. Classified maps from remotely sensed data indicated that significant changes in LULC were accompanied by loss of biodiversity and intensification of agricultural production. At the same time, overall caloric yields were highest and soil erosion lowest in sparsely cultivated areas with high biodiversity, where traditional farming practices still dominate. At the farm scale, it was shown that A. albida trees contribute significantly to soil fertility and barley yield. Results of this project may assist policy development on agro-biodiversity restoration by providing information on long-term historical trends, insight into their drivers, and consequences for food security among resource poor smallholders in the region.

Loss of biodiversity, including agro-biodiversity affects smallholders in dry-land regions by decreasing the buffering capacity of the agro-ecosystem and increasing proneness to yield variability including crop failure due to weather extremes. Loss of biodiversity is associated with land use/land cover (LULC) changes that are related to a range of biophysical and socio-economic drivers. This thesis is focused on the Tigray region in northern Ethiopia which has experienced severe loss of biodiversity over the last decades at the regional scale, while loss of genetic variation of crops at the farm and field scale are ongoing as a result of agricultural technology adoption processes. The overall goal of this thesis research was to identify and analyse factors affecting loss of agro-biodiversity in Tigray, Ethiopia, and relate agro-biodiversity loss to LULC changes, soil erosion, farming practices and agricultural productivity. A multi-scale approach was adopted. At the regional scale, LULC changes over the last decades were investigated using a time-series of remotely sensed data to assess changes in biodiversity. At the farm scale, changes in farming practices and land use between 2000 and 2005 were described along with their effects on agro-biodiversity. These changes were related to biophysical and socio-economic drivers. Finally, at the field scale, the consequences of the presence of Acacia albida trees for productivity were assessed. A survey among 151 farms in Tigray indicated that higher numbers of species of trees and shrubs, along with cultivation of land races was associated with traditional farming practices of smallholders in 2000 and 2005. Classified maps from remotely sensed data indicated that significant changes in LULC were accompanied by loss of biodiversity and intensification of agricultural production. At the same time, overall caloric yields were highest and soil erosion lowest in sparsely cultivated areas with high biodiversity, where traditional farming practices still dominate. At the farm scale, it was shown that A. albida trees contribute significantly to soil fertility and barley yield. Results of this project may assist policy development on agro-biodiversity restoration by providing information on long-term historical trends, insight into their drivers, and consequences for food security among resource poor smallholders in the region.

Given the fact that most lowland forests in the highly populated island of Java have been converted to other uses, the mountain forests play a critical role in providing key ecosystem services such as biodiversity maintenance and partial stabilization of climate through carbon sequestration. This paper assesses the extent to which land-use changes in Mount Papandayan happening during 1994 -2001 has resulted in loss of forest habitats and carbon sequestered in vegetation. The assessment was done by analyzing the data derived from biodiversity survey for plants and birds, field-measurement of carbon stocks, remote sensing, and interview. The remote sensing method (using Landsat) was used to quantify the extent of deforestation. In order to estimate carbon stock and its changes in the landscape, we have developed a statistical model based on the correlation between the spectral characteristics and field-measurement of carbon stocks. The results indicated that the mixed-forest of Mount Papandayan had high diversity of plants and birds. Deforestation mainly due to conversion to agricultural fields has been instrumental in causing the loss of such diverse habitat. During 1994-2001, around 2,700 hectares of forest have disappeared with the associated loss of carbon of more than 800,000 tons. This paper will also highlight the implication of this finding to the ecosystem management in order to conserve the remaining and restoring the forest.

Important Values of Agroforestry, Community Forest, and Agricultural Land on Conservation of Bird Diversity in Paliyan, Gunungkidul, Yogyakarta Agroforestry is recognized as a land use management that capable to integrate the need of local peoples and the concern of biodiversity conservation. However, some contradictory results of studies made the importance of agroforestry on conservation of biodiversity questionable. To understand the role of agro­forestry in biodiversity conservation, bird community assemblages of three land use types namely private forests, agroforestry and annual crops were compared. Single belt point count with a radius of 50 m was used to survey birds. In general species diversity in the study area was at a moderate level. Statistically, bird communities between sites did not differ significantly in term of their abundance, species composition, and diversity. It was because patch context plays more important role than patch content. However, it was found that in all community parameter agroforestry area has higher values than those of crops. Consistent with the previous studies, insectivorous birds were the most sensitive to land use changes. The conservation value of Paliyan area was relatively low, because most of species were abundant, and no species inhabit endangered status according to IUCN criteria. Implication of this research was that Paliyan area need a large-compact habitat to conserve high bird diversity.

Changes have been taking place in the landscapes of Europe for thousands of years. The aim of the studies presented in this thesis was to contribute to the understanding of the relation between human landscape changes and some aspects of forest-related biodiversity. A wide variety of spatially explicit data was used for the analysis and assessment of biodiversity, land cover and land use, together with climatic variables and topography. Differences in national economic conditions were found to affect landscapes with a common ancestry in the Carpathian Mountains, resulting in different trajectories of landscape development. These results highlight the importance of human land use on landscape composition. The method of comparing landscapes with different histories can be used to develop benchmarks for landscape change studies and policy evaluation. Clear relationships were found between land use parameters and functional diversity, species richness and species richness within functional groups. The usefulness of a meta-population model was evaluated by comparison with an area-based model for predicting the occurrence of the White-backed Woodpecker (Dendrocopos leucotos) in Poland. The meta-population model predicted the occurrence of the species better than the area-based model. The area-based model overestimated the occurrence of White-backed Woodpeckers, especially in areas with fragmented forests. The main conclusions of this study are that economic incentives shape landscapes; biodiversity patterns in Europe reflect the history of human landscape changes; and that land use intensity and spatial configuration, and the connectivity of suitable habitats are of importance for the predictive ability of landscape suitability models.

1. In many European agricultural landscapes, species richness is declining considerably. Studies performed at a very large spatial scale are helpful in understanding the reasons for this decline and as a basis for guiding policy. In a unique, large-scale study of 25 agricultural landscapes in seven European countries, we investigated relationships between species richness in several taxa, and the links between biodiversity and landscape structure and management. 2. We estimated the total species richness of vascular plants, birds and five arthropod groups in each 16-km2 landscape, and recorded various measures of both landscape structure and intensity of agricultural land use. We studied correlations between taxonomic groups and the effects of landscape and land-use parameters on the number of species in different taxonomic groups. Our statistical approach also accounted for regional variation in species richness unrelated to landscape or land-use factors. 3. The results reveal strong geographical trends in species richness in all taxonomic groups. No single species group emerged as a good predictor of all other species groups. Species richness of all groups increased with the area of semi-natural habitats in the landscape. Species richness of birds and vascular plants was negatively associated with fertilizer use. 4. Synthesis and applications. We conclude that indicator taxa are unlikely to provide an effective means of predicting biodiversity at a large spatial scale, especially where there is large biogeographical variation in species richness. However, a small list of landscape and land-use parameters can be used in agricultural landscapes to infer large-scale patterns of species richness. Our results suggest that to halt the loss of biodiversity in these landscapes, it is important to preserve and, if possible, increase the area of semi-natural habitat.